🏢 Summary: Frontend Engineer role focused on building AI-powered web applications and GenAI interfaces using React and TypeScript for enterprise clients. The position involves designing responsive conversational UIs, integrating with APIs and LLM services, and solving modern AI interaction and UX challenges. The role offers flexible work arrangements, professional development, and exposure to cutting-edge AI product engineering. 🗂️ Requirements: 3+ years commercial frontend development experience, React, TypeScript, Modern frontend architecture, State management, Component design, Performance optimization, Responsive design, REST APIs, WebSockets, Streaming endpoints, UX design understanding, AI-powered interfaces familiarity or interest, AI-assisted development tools, English B2+ 📃 Skills: React, TypeScript, REST, WebSockets, Cursor, Copilot, Next.js, D3.js, Recharts, Visx, WCAG, Playwright, Cypress, Node.js, Python, FastAPI 🏢 Description: WHO WE ARE Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services. At the AI&Data, we work locally and globally with over 200 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting-edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics. THE WORK As a Frontend Engineer – AI Solutions, you will design and build the user-facing layer of GenAI and agentic AI solutions for leading global enterprises. You’re the person who makes powerful AI systems usable – turning complex agent interactions, streaming LLM outputs, and enterprise data into intuitive, polished product experiences. We’re looking for someone who is React-strong, thinks in terms of user experience, and is excited about solving the unique UI/UX challenges that come with building AI-powered products. Understanding of frontend security best practices – including authentication and authorization flows, secure API integrations, and protection against common web vulnerabilities , is crucial on this position. You will: Build modern, responsive frontends for GenAI products using React and TypeScript – conversational interfaces, agent dashboards, data exploration tools, and interactive analytics views Design and implement AI-specific interaction patterns: streaming chat, real-time agent status, citation rendering, confidence indicators, and graceful handling of AI uncertainty Own the UX quality of AI products – making deliberate decisions about information architecture, component design, accessibility, and how users interact with AI outputs Integrate frontends with backend APIs, LLM services, and streaming endpoints – working closely with GenAI engineers to deliver seamless end-to-end experiences Collaborate with engineers, designers, and consultants on cross-functional teams, shaping how enterprise users experience AI Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office – depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. WHAT’S IN IT FOR YOU? Build the interface layer of cutting-edge AI: you’ll shape how users actually experience GenAI – the part that makes the difference between a demo and a product. Solve UI/UX problems that barely exist yet: streaming agent interactions, multi-agent status views, conversational analytics – these design patterns are being invented right now, and you’ll be the one inventing them. Grow at the intersection of frontend engineering and AI: work alongside experienced AI & Data practitioners, gaining unique product engineering expertise that very few frontend developers have today. Qualification HERE’S WHAT YOU’LL NEED Min. 3 years of commercial experience in frontend development Strong proficiency in React and TypeScript Solid understanding of modern frontend architecture – state management, component design, performance optimization, and responsive design Experience integrating frontends with REST APIs, WebSockets, or streaming endpoints Strong UX sensibility – ability to make deliberate design and interaction decisions, not just implement mockups Familiarity with AI-powered product interfaces (chatbots, conversational UIs, dashboards with AI-generated content) or a strong interest in this space Proficiency with AI-assisted development tools (e.g., Cursor, Copilot, or similar) – we expect these to be a core part of your daily workflow, not an occasional add-on Good command of English (min. B2+) BONUS POINTS IF YOU HAVE Experience building real-time or streaming UIs (e.g., Server-Sent Events, WebSocket-based interfaces) Hands-on experience with UI component libraries and design systems (e.g., Shadcn, Radix, Material UI) Familiarity with Next.js or similar full-stack React frameworks Basic understanding of LLMs, prompt engineering, or how GenAI APIs work Experience with data visualization libraries (e.g., D3.js, Recharts, Visx) Knowledge of accessibility standards (WCAG) and inclusive design practices Experience with frontend testing (e.g., Playwright, Cypress, React Testing Library) Basic backend or API development experience (Node.js, Python, FastAPI) Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don’t meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application. WHAT WE OFFER? A permanent employment contract Individual support of a People Lead and a clearly defined path of professional development, including the possibility of a session with a Coach A comprehensive training package, including: soft skills, technical and language training, access to e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses and certifications Employee Assistance Program offering legal, financial and psychological consultations Employee Share Purchase Plan – employees who own company shares are automatically eligible for quarterly dividends Paid employee referral program Private medical care and life insurance Access to the Worksmile benefits platform (including the Multisport card) Interview Note: We value practical skills. During the technical interview, we’ll give you a real problem to solve and debug together – using your preferred development setup, including any AI-assisted tools you work with day to day. WHAT WE BELIEVE: Accenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with. Clicking apply I hereby express my consent to process my personal data included in my job offer by Accenture Sp. z o.o. or any other entity of the Accenture group for recruitment purposes, and that it is a data controller within the meaning of GDPR. More information about Accenture (and if necessary also its representative) can be found here: https://www.accenture.com/pl-pl/privacy-policy #LI-EU

🏢 Summary: Hands-on Forward Deployed AI Product Manager role focused on building and deploying AI-powered workflows for clinical research operations. The position combines product management, AI application development, and cross-functional collaboration to improve operational efficiency and scalability. Candidates will work with LLMs, workflow automation, and healthcare-related systems in a fast-moving, iterative environment. 🗂️ Requirements: 4+ years building and shipping software products, AI applications, technical solutions, or production systems, Experience with large language models, prompt engineering, agent design, RAG, evaluation frameworks, and workflow automation, Strong technical fluency with modern AI development workflows and tooling, Experience translating business problems into scalable technical solutions, Familiarity with Python, Ability to work with engineering and technical teams throughout implementation, Strong written and verbal communication skills, Ability to prioritize and drive outcomes in ambiguous environments 📃 Skills: Python, LLM, RAG, AI, LangGraph, AgentCore, FHIR, OMOP, HIPAA, GxP, EMR 🏢 Description: Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. We built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide. At Iterative Health, we are transforming clinical research through the power of AI, technology, and human expertise. Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to improve patient outcomes. Through the Iterative Health Site Network — a premier network of 100+ clinical research sites across the US and Europe — we help expand and expedite access to novel therapeutics for patients in need. Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. Why This Role Matters As a Forward Deployed AI Product Manager at Iterative Health, you will work cross functionally to identify, build, and deploy AI-powered solutions that transform how clinical research operations are executed. This is a highly hands-on role that sits at the intersection of product, engineering, and operations. You will partner closely with end users to understand their workflows, identify opportunities where AI can create meaningful leverage, rapidly prototype solutions, and deploy them into production. The ideal candidate combines strong product instincts with technical fluency and a builder mentality. You are equally comfortable sitting alongside a clinical operator to understand a workflow as you are working with engineers and AI tooling to bring a solution to life. You will work across Clinical Operations, Site Operations, Trial Enrollment, Business Development, and Corporate Functions, identifying high-impact opportunities and owning them from concept through deployment and adoption. This role reports to the Product organization and partners closely with Engineering, Data Science, Security, and Operational Leadership teams. Where You'll Drive Impact Embed within internal business teams to deeply understand workflows, decision-making processes, pain points, and opportunities for automation and augmentation Translate complex operational challenges into well-defined AI solutions with measurable business outcomes Design, prototype, and deploy AI-powered workflows and agentic systems leveraging modern LLM platforms, orchestration frameworks, and internal data infrastructure Own the full product lifecycle, including discovery, solution design, implementation, testing, rollout, adoption, and ongoing optimization Establish evaluation frameworks that measure AI performance against operational, quality, and business outcomes Partner with engineering, data, and security teams to ensure solutions meet company standards for reliability, governance, compliance, and scalability Work through the operational and technical details required to move solutions from proof-of-concept to production Identify patterns and opportunities that can evolve from one-off solutions into reusable platform capabilities Bring field insights and learnings back to Product and Engineering leadership to inform future investment decisions and product strategy Contribute to the evolution of Iterative Health's AI operating model, including tooling, evaluation methodologies, governance practices, and development standards Travel occasionally to business units, research sites, and company offices as needed (estimated less than 15%) Perform related duties as requested You Might Thrive in This Role If You enjoy operating in highly ambiguous environments and creating structure where none exists You are equally effective working with executives, operators, engineers, and data scientists You can quickly understand how people actually work and identify opportunities to improve workflows through technology You value rapid experimentation and iterative learning over lengthy planning cycles You have strong judgment about where AI adds value and where traditional solutions may be more appropriate You are energized by building and deploying solutions that create immediate impact for users You are comfortable moving between strategy, execution, and hands-on problem solving What Success Looks Like Within your first 12 months, you will: Deploy multiple AI-powered workflows that deliver measurable improvements in efficiency, quality, speed, or user experience Establish trusted partnerships with operational teams across the organization Develop repeatable frameworks for evaluating and scaling AI applications Identify and help operationalize reusable platform capabilities that accelerate future AI development Drive meaningful adoption of AI solutions across key business functions How We Work Collaborative and low-ego team environment Fast-moving and highly iterative culture Strong focus on ownership and accountability Mission-driven and patient-centered mindset Open communication and continuous learning Comfortable navigating evolving business needs What You Bring to the Team 4+ years of experience building and shipping software products, AI applications, technical solutions, or production systems Hands-on experience working with large language models, including prompt engineering, agent design, retrieval-augmented generation (RAG), evaluation frameworks, and workflow automation Strong technical fluency with modern AI development workflows and tooling Experience collaborating directly with end users to understand business problems and translate them into scalable solutions Familiarity with programming languages such as Python and the ability to work effectively with technical teams throughout implementation Ability to navigate ambiguity, prioritize effectively, and drive outcomes with limited direction Strong written and verbal communication skills with the ability to engage both technical and non-technical audiences Demonstrated ownership mindset and bias toward action Preferred Experience in healthcare, clinical research, or another regulated domain (HIPAA, GxP, financial services) Background as a technical founder, early engineer at a startup, or in a customer-facing engineering role (FDE, solutions engineering, applied AI) Interest in growing toward a senior product role over time — this role is designed as a natural bridge Experience with agent frameworks (Claude Agent SDK, LangGraph, AgentCore, etc.), MCP servers, or production LLM evaluation tooling Familiarity with EMR systems, clinical trial operations, or healthcare data standards (FHIR, OMOP) Experience working with messy, real-world data and turning it into something useful without pretending it's clean Benefits That Support You We believe great teams do their best work when they feel supported — professionally and personally. Hybrid work environment with in-office collaboration two days per week in either our NYC or Boston office Comprehensive medical, dental, and vision coverage, with up to 80% of premiums covered by Iterative Health Mental health and wellness support through Spring Health Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years 401(k) program with a company match of up to 3% (up to $3,000 annually) Weekly in-office lunch benefit every Tuesday 100% company-paid short-term and long-term disability coverage Annual wellness and professional development stipend to support your health and growth And more! At Iterative Health, we believe great people drive innovation. If you're excited about helping transform the future of clinical research while building scalable people strategies that support growth and impact, we encourage you to apply. New York pay range$170,000—$250,000 USDAt Iterative Health, we're actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.

🏢 Summary: Hands-on Forward Deployed AI Product Manager role focused on building and deploying AI-powered workflows and agentic systems for clinical research operations. The position combines product management, AI development, and operational collaboration to improve efficiency, scalability, and user experience across healthcare research functions. The role offers hybrid work in NYC or Boston with strong benefits and opportunities to shape enterprise AI strategy and platforms. 🗂️ Requirements: 4+ years building and shipping software products, AI applications, or production systems, Experience with large language models, Experience with prompt engineering, Experience with agent design, Experience with retrieval-augmented generation, Experience with workflow automation, Strong technical fluency with modern AI development tooling, Ability to collaborate with end users and translate business problems into scalable solutions, Familiarity with Python, Strong written and verbal communication skills, Ability to work with technical and non-technical teams, Ability to navigate ambiguity and drive outcomes 📃 Skills: Python, LLM, RAG, AI, LangGraph, FHIR, OMOP, HIPAA, GxP, EMR, AgentCore, SDK 🏢 Description: Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. We built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide. At Iterative Health, we are transforming clinical research through the power of AI, technology, and human expertise. Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to improve patient outcomes. Through the Iterative Health Site Network — a premier network of 100+ clinical research sites across the US and Europe — we help expand and expedite access to novel therapeutics for patients in need. Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. Why This Role Matters As a Forward Deployed AI Product Manager at Iterative Health, you will work cross functionally to identify, build, and deploy AI-powered solutions that transform how clinical research operations are executed. This is a highly hands-on role that sits at the intersection of product, engineering, and operations. You will partner closely with end users to understand their workflows, identify opportunities where AI can create meaningful leverage, rapidly prototype solutions, and deploy them into production. The ideal candidate combines strong product instincts with technical fluency and a builder mentality. You are equally comfortable sitting alongside a clinical operator to understand a workflow as you are working with engineers and AI tooling to bring a solution to life. You will work across Clinical Operations, Site Operations, Trial Enrollment, Business Development, and Corporate Functions, identifying high-impact opportunities and owning them from concept through deployment and adoption. This role reports to the Product organization and partners closely with Engineering, Data Science, Security, and Operational Leadership teams. Where You'll Drive Impact Embed within internal business teams to deeply understand workflows, decision-making processes, pain points, and opportunities for automation and augmentation Translate complex operational challenges into well-defined AI solutions with measurable business outcomes Design, prototype, and deploy AI-powered workflows and agentic systems leveraging modern LLM platforms, orchestration frameworks, and internal data infrastructure Own the full product lifecycle, including discovery, solution design, implementation, testing, rollout, adoption, and ongoing optimization Establish evaluation frameworks that measure AI performance against operational, quality, and business outcomes Partner with engineering, data, and security teams to ensure solutions meet company standards for reliability, governance, compliance, and scalability Work through the operational and technical details required to move solutions from proof-of-concept to production Identify patterns and opportunities that can evolve from one-off solutions into reusable platform capabilities Bring field insights and learnings back to Product and Engineering leadership to inform future investment decisions and product strategy Contribute to the evolution of Iterative Health's AI operating model, including tooling, evaluation methodologies, governance practices, and development standards Travel occasionally to business units, research sites, and company offices as needed (estimated less than 15%) Perform related duties as requested You Might Thrive in This Role If You enjoy operating in highly ambiguous environments and creating structure where none exists You are equally effective working with executives, operators, engineers, and data scientists You can quickly understand how people actually work and identify opportunities to improve workflows through technology You value rapid experimentation and iterative learning over lengthy planning cycles You have strong judgment about where AI adds value and where traditional solutions may be more appropriate You are energized by building and deploying solutions that create immediate impact for users You are comfortable moving between strategy, execution, and hands-on problem solving What Success Looks Like Within your first 12 months, you will: Deploy multiple AI-powered workflows that deliver measurable improvements in efficiency, quality, speed, or user experience Establish trusted partnerships with operational teams across the organization Develop repeatable frameworks for evaluating and scaling AI applications Identify and help operationalize reusable platform capabilities that accelerate future AI development Drive meaningful adoption of AI solutions across key business functions How We Work Collaborative and low-ego team environment Fast-moving and highly iterative culture Strong focus on ownership and accountability Mission-driven and patient-centered mindset Open communication and continuous learning Comfortable navigating evolving business needs What You Bring to the Team 4+ years of experience building and shipping software products, AI applications, technical solutions, or production systems Hands-on experience working with large language models, including prompt engineering, agent design, retrieval-augmented generation (RAG), evaluation frameworks, and workflow automation Strong technical fluency with modern AI development workflows and tooling Experience collaborating directly with end users to understand business problems and translate them into scalable solutions Familiarity with programming languages such as Python and the ability to work effectively with technical teams throughout implementation Ability to navigate ambiguity, prioritize effectively, and drive outcomes with limited direction Strong written and verbal communication skills with the ability to engage both technical and non-technical audiences Demonstrated ownership mindset and bias toward action Preferred Experience in healthcare, clinical research, or another regulated domain (HIPAA, GxP, financial services) Background as a technical founder, early engineer at a startup, or in a customer-facing engineering role (FDE, solutions engineering, applied AI) Interest in growing toward a senior product role over time — this role is designed as a natural bridge Experience with agent frameworks (Claude Agent SDK, LangGraph, AgentCore, etc.), MCP servers, or production LLM evaluation tooling Familiarity with EMR systems, clinical trial operations, or healthcare data standards (FHIR, OMOP) Experience working with messy, real-world data and turning it into something useful without pretending it's clean Benefits That Support You We believe great teams do their best work when they feel supported — professionally and personally. Hybrid work environment with in-office collaboration two days per week in either our NYC or Boston office Comprehensive medical, dental, and vision coverage, with up to 80% of premiums covered by Iterative Health Mental health and wellness support through Spring Health Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years 401(k) program with a company match of up to 3% (up to $3,000 annually) Weekly in-office lunch benefit every Tuesday 100% company-paid short-term and long-term disability coverage Annual wellness and professional development stipend to support your health and growth And more! At Iterative Health, we believe great people drive innovation. If you're excited about helping transform the future of clinical research while building scalable people strategies that support growth and impact, we encourage you to apply. New York pay range$170,000—$250,000 USDAt Iterative Health, we're actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.

🏢 Summary: Forward Deployed AI Product Manager role focused on building and deploying AI-powered workflows for clinical research operations. The position combines product management, AI solution development, and cross-functional collaboration to improve operational efficiency and scalability in healthcare research environments. Candidates will work closely with engineering, data, and operational teams to deliver production-ready AI systems using modern LLM technologies. 🗂️ Requirements: 4+ years building and shipping software products, AI applications, technical solutions, or production systems, Hands-on experience with large language models, Experience with prompt engineering, agent design, RAG, evaluation frameworks, and workflow automation, Strong technical fluency with modern AI development workflows and tooling, Experience translating business problems into scalable technical solutions, Familiarity with Python, Ability to work with technical and non-technical stakeholders, Strong written and verbal communication skills, Ability to navigate ambiguity and prioritize effectively 📃 Skills: Python, LLM, RAG, LangGraph, FHIR, OMOP, HIPAA, GxP, AI, EMR 🏢 Description: Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. We built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide. At Iterative Health, we are transforming clinical research through the power of AI, technology, and human expertise. Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to improve patient outcomes. Through the Iterative Health Site Network — a premier network of 100+ clinical research sites across the US and Europe — we help expand and expedite access to novel therapeutics for patients in need. Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. Why This Role Matters As a Forward Deployed AI Product Manager at Iterative Health, you will work cross functionally to identify, build, and deploy AI-powered solutions that transform how clinical research operations are executed. This is a highly hands-on role that sits at the intersection of product, engineering, and operations. You will partner closely with end users to understand their workflows, identify opportunities where AI can create meaningful leverage, rapidly prototype solutions, and deploy them into production. The ideal candidate combines strong product instincts with technical fluency and a builder mentality. You are equally comfortable sitting alongside a clinical operator to understand a workflow as you are working with engineers and AI tooling to bring a solution to life. You will work across Clinical Operations, Site Operations, Trial Enrollment, Business Development, and Corporate Functions, identifying high-impact opportunities and owning them from concept through deployment and adoption. This role reports to the Product organization and partners closely with Engineering, Data Science, Security, and Operational Leadership teams. Where You'll Drive Impact Embed within internal business teams to deeply understand workflows, decision-making processes, pain points, and opportunities for automation and augmentation Translate complex operational challenges into well-defined AI solutions with measurable business outcomes Design, prototype, and deploy AI-powered workflows and agentic systems leveraging modern LLM platforms, orchestration frameworks, and internal data infrastructure Own the full product lifecycle, including discovery, solution design, implementation, testing, rollout, adoption, and ongoing optimization Establish evaluation frameworks that measure AI performance against operational, quality, and business outcomes Partner with engineering, data, and security teams to ensure solutions meet company standards for reliability, governance, compliance, and scalability Work through the operational and technical details required to move solutions from proof-of-concept to production Identify patterns and opportunities that can evolve from one-off solutions into reusable platform capabilities Bring field insights and learnings back to Product and Engineering leadership to inform future investment decisions and product strategy Contribute to the evolution of Iterative Health's AI operating model, including tooling, evaluation methodologies, governance practices, and development standards Travel occasionally to business units, research sites, and company offices as needed (estimated less than 15%) Perform related duties as requested You Might Thrive in This Role If You enjoy operating in highly ambiguous environments and creating structure where none exists You are equally effective working with executives, operators, engineers, and data scientists You can quickly understand how people actually work and identify opportunities to improve workflows through technology You value rapid experimentation and iterative learning over lengthy planning cycles You have strong judgment about where AI adds value and where traditional solutions may be more appropriate You are energized by building and deploying solutions that create immediate impact for users You are comfortable moving between strategy, execution, and hands-on problem solving What Success Looks Like Within your first 12 months, you will: Deploy multiple AI-powered workflows that deliver measurable improvements in efficiency, quality, speed, or user experience Establish trusted partnerships with operational teams across the organization Develop repeatable frameworks for evaluating and scaling AI applications Identify and help operationalize reusable platform capabilities that accelerate future AI development Drive meaningful adoption of AI solutions across key business functions How We Work Collaborative and low-ego team environment Fast-moving and highly iterative culture Strong focus on ownership and accountability Mission-driven and patient-centered mindset Open communication and continuous learning Comfortable navigating evolving business needs What You Bring to the Team 4+ years of experience building and shipping software products, AI applications, technical solutions, or production systems Hands-on experience working with large language models, including prompt engineering, agent design, retrieval-augmented generation (RAG), evaluation frameworks, and workflow automation Strong technical fluency with modern AI development workflows and tooling Experience collaborating directly with end users to understand business problems and translate them into scalable solutions Familiarity with programming languages such as Python and the ability to work effectively with technical teams throughout implementation Ability to navigate ambiguity, prioritize effectively, and drive outcomes with limited direction Strong written and verbal communication skills with the ability to engage both technical and non-technical audiences Demonstrated ownership mindset and bias toward action Preferred Experience in healthcare, clinical research, or another regulated domain (HIPAA, GxP, financial services) Background as a technical founder, early engineer at a startup, or in a customer-facing engineering role (FDE, solutions engineering, applied AI) Interest in growing toward a senior product role over time — this role is designed as a natural bridge Experience with agent frameworks (Claude Agent SDK, LangGraph, AgentCore, etc.), MCP servers, or production LLM evaluation tooling Familiarity with EMR systems, clinical trial operations, or healthcare data standards (FHIR, OMOP) Experience working with messy, real-world data and turning it into something useful without pretending it's clean Benefits That Support You We believe great teams do their best work when they feel supported — professionally and personally. Hybrid work environment with in-office collaboration two days per week in either our NYC or Boston office Comprehensive medical, dental, and vision coverage, with up to 80% of premiums covered by Iterative Health Mental health and wellness support through Spring Health Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years 401(k) program with a company match of up to 3% (up to $3,000 annually) Weekly in-office lunch benefit every Tuesday 100% company-paid short-term and long-term disability coverage Annual wellness and professional development stipend to support your health and growth And more! At Iterative Health, we believe great people drive innovation. If you're excited about helping transform the future of clinical research while building scalable people strategies that support growth and impact, we encourage you to apply. New York pay range$170,000—$250,000 USDAt Iterative Health, we're actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.

🏢 Summary: Senior Product Lead role focused on owning the roadmap and execution for Bond OS, a healthcare care-delivery platform integrating patient intake, provider workflows, operations, APIs, analytics, and AI/ML capabilities. The position involves leading product strategy, defining platform primitives, collaborating with engineering and design, and driving AI/ML-enabled healthcare workflows with strong operational and technical rigor. The role emphasizes healthcare platform scalability, technical product leadership, and high-quality execution in a fast-moving environment. 🗂️ Requirements: 6+ years product management or product leadership experience, Experience leading complex software products from strategy through launch, Experience with platform, SaaS, healthcare, fintech, logistics, marketplace, or operations software, Technical fluency in APIs, schemas, state machines, data models, permissions, and integrations, Experience with AI/ML product development and evaluation workflows, Strong product specification and technical documentation skills, Experience working with customers or strategic clients, Familiarity with healthcare data standards, Ability to define release gates, auditability, and operational workflows, Experience in fast-moving or small teams 📃 Skills: API, FHIR, HL7, LOINC, SDC, AI, ML, SaaS, Analytics, Schemas, Integrations, Observability, Permissions, Validation, Commerce, Payments, PRDs, Roadmaps, Telehealth, Eprescribing 🏢 Description: About Us At The Pharmacy Hub, we collaborate with pharmaceutical brands, manufacturers, health brands, telemedicine providers, and healthcare companies to deliver essential products directly to patients. Our expertise allows us to seamlessly distribute pharmaceuticals, medical devices, and other healthcare products to consumers, ensuring greater accessibility and convenience.Build the operating system for patient-centric care Bond OS is the platform layer for modern care delivery. It connects structured patient intake, longitudinal patient context, provider review, clinic and admin operations, orders, prescriptions, commerce rails, platform APIs, analytics, support workflows, and applied AI/ML into one coherent system. Healthcare delivery is usually fragmented: intake in one place, clinical review in another, ordering and prescription status somewhere else, operations in spreadsheets, support in tickets, and analytics after the fact. Bond OS is built to make those flows work together: one patient context, clear workflows for every role, durable platform primitives, and intelligent assistance where it improves speed, quality, and safety. We are hiring a Product Lead to own the roadmap for Bond OS across product surfaces and platform primitives. This is a senior, hands-on product leadership role for someone who can move between client conversations, patient and provider workflows, technical contracts, data models, operational edge cases, AI/ML release discipline, and crisp execution with engineering and design. Why this role matters Bond OS is entering a new chapter. The core platform is live, the product surface area is expanding, and the opportunity is to make the system more unified, more patient-centric, more operationally powerful, and more intelligent. This role will shape how the platform scales: how intake becomes usable clinical context, how providers and clinic teams move through work, how orders and prescriptions are tracked, how clients understand performance, how APIs and permissions become stronger platform primitives, and how applied AI/ML earns its way into high-consequence workflows. The mandate is clear: turn a powerful care-delivery platform into a sharper operating system. What you will lead Bond OS roadmap Own the product roadmap across the full platform: Patient intake, patient portal, and longitudinal patient context Provider workflows, review queues, clinical decisioning, and safety review Clinic and admin operations, group management, permissions, and oversight Orders, prescriptions, catalog, commerce, payments, promotions, and fulfillment handoffs Platform APIs, integrations, auditability, data contracts, and status models Analytics for operations, outcomes, quality, and performance Applied AI/ML across intake, summarization, triage, drafting, operations, and decision-support context You will set priorities, make tradeoffs, sequence dependencies, and keep the roadmap grounded in client value, patient impact, operational leverage, and engineering reality. Platform primitives Define and protect the core primitives of Bond OS: patient, intake, encounter, decision, order, prescription, catalog item, group, role, permission, audit event, status, and AI artifact. Great product work here makes the platform simpler and more durable. It turns repeated workflows into shared systems, edge cases into explicit states, and client-specific needs into reusable capabilities. Client and user discovery Partner directly with clients, providers, clinic/admin teams, operators, support, design, engineering, and leadership. You will watch real workflows, understand where care delivery breaks down, and translate that signal into product decisions. Discovery should change the roadmap. The goal is not to collect opinions; it is to understand where Bond OS can create measurable leverage for patients, providers, clients, and internal teams. Applied AI/ML product direction AI/ML is a first-class part of Bond OS. The first opportunities include assisted intake summarization, missing-data detection, suggested triage priority, provider-facing drafting, operational intelligence, quality analytics, and decision-support context. You will define which use cases are worth pursuing, what good output means, how model-backed features are evaluated before launch, how humans review or override outputs, how failures are handled, and how performance is monitored after release. The standard is practical and serious: assistive, evaluated, observable, auditable, human-overseen, and suppressible when confidence or safety conditions are not met. Product execution and spec quality Write product specs that engineering and design can execute from. Strong specs should include user goals, role-specific flows, states, API contracts, validation behavior, data requirements, audit/logging needs, i18n requirements, acceptance criteria, rollout plan, and release criteria. For AI/ML-backed features, specs should also define model inputs and outputs, evaluation criteria, red-team cases, confidence and fallback behavior, human review UX, monitoring, and go/no-go thresholds. Product operating cadence Maintain the product source of truth: what is live, what is in flight, what is blocked, what is cut, what depends on what, and what done means. Run a written cadence that gives leadership, clients, and the team clear visibility into decisions, tradeoffs, risks, and progress. What you will do Build and maintain the Bond OS roadmap across patient, provider, clinic/admin, order, prescription, commerce, API, analytics, operations, and AI/ML surfaces. Translate client, user, clinical, operational, and technical insight into clear product direction. Partner with engineering on API contracts, schemas, state machines, validation behavior, performance, reliability, and integration boundaries. Partner with design on high-craft workflows that reduce cognitive load and make complex care operations feel clear. Prioritize the smallest valuable slices that improve the platform without creating long-term product debt. Lead applied AI/ML product discovery and write the first serious AI/ML PRDs for Bond OS. Define release gates for high-consequence workflows, including safety, auditability, permissions, i18n, test coverage, and operational fallbacks. Communicate roadmap priorities and tradeoffs to internal stakeholders and, where appropriate, strategic clients. Create the product discipline that lets a small, senior team move faster without becoming sloppy. The kind of person who will thrive here You are a systems thinker with strong product taste. You can reason from first principles, write clearly, and turn ambiguity into a concrete sequence of work. You are comfortable with product depth: workflows, APIs, data models, permissions, state machines, and edge cases are part of the job. You care about craft because in healthcare software, clarity is operational leverage. Good hierarchy, clear states, thoughtful defaults, precise language, and reliable fallbacks matter. The best product decisions make the system easier to understand for patients, providers, operators, clients, and engineers. You are also practical. You can hold a big platform vision while shipping small, high-quality slices. You know how to say yes by sequencing and how to say no by explaining tradeoffs. You can work with a lean team and still build something ambitious. Experience we value We care most about judgment, taste, execution, and technical credibility. Strong candidates may bring some combination of: 6+ years of product management or product leadership experience, ideally with ownership of complex software from strategy through launch. Experience building platform, SaaS, healthcare, fintech, logistics, marketplace, developer-platform, operations, commerce, or other high-consequence software. Healthcare, health-tech, telehealth, pharmacy, e-prescribing, care operations, or regulated-data experience. Experience working directly with customers or strategic clients and translating their needs into scalable product capabilities. Technical fluency: API contracts, schemas, state machines, data models, permissions, validation, integrations, observability, and engineering tradeoffs. Strong written communication: PRDs, specs, roadmap memos, technical decision documents, launch plans, and executive updates. Experience with AI/ML product development, especially evaluation, guardrails, human-in-the-loop UX, model observability, red-teaming, drift monitoring, and responsible release processes. Familiarity with healthcare data standards such as FHIR, SDC, HL7, or LOINC. Experience in a small or fast-moving team where product judgment mattered more than process weight. Background in engineering, design, data, operations, clinical workflows, or technical product management. What success looks like First 90 days You understand the Bond OS platform across patient, provider, clinic/admin, order, prescription, commerce, API, analytics, operations, and AI/ML surfaces. The product source of truth is accurate, sequenced, and useful to the team. You have shipped or materially advanced one meaningful cross-surface platform slice through the real quality bar. The next-quarter roadmap has clear priorities, explicit tradeoffs, dependency mapping, and measurable outcomes. The first applied AI/ML capability has a serious product plan: use case, eval set, guardrails, human review, logging, fallback behavior, monitoring, and launch criteria. Clients, users, engineers, design, and leadership can see how your product decisions make the platform clearer. First 12 months Bond OS feels more unified across patient, provider, admin, operations, and client-facing workflows. Intake reliably creates usable downstream context across care, operations, analytics, and AI/ML-assisted workflows. Orders, prescriptions, status, and fulfillment handoffs are clearer and more actionable. The platform has stronger primitives for permissions, auditability, taxonomy, analytics, and operational visibility. Applied AI/ML capabilities are in production or controlled rollout with evidence, oversight, and monitoring behind them. Strategic clients experience Bond OS as a more complete, coherent, and extensible care-delivery platform. How we work Platform first: surface work should strengthen shared primitives, contracts, workflows, and data. Patient context is the spine: intake, decisions, orders, prescriptions, communications, outcomes, analytics, and AI/ML artifacts should accrue to coherent patient context. Small slices, high bar: ship the smallest valuable slice that improves the platform without lowering quality. Contracts matter: API behavior, validation, permissions, audit logs, states, and data contracts are part of the product. AI/ML earns exposure: model-backed features ship with evaluation, guardrails, human oversight, observability, fallback behavior, and monitoring. Written decisions compound: clear product writing keeps a lean team aligned and makes tradeoffs durable. Craft is leverage: the product should feel fast, clear, safe, and intentional under real operational pressure. Hiring process Intro conversation focused on platform scope, product judgment, and role fit. Product leadership conversation around roadmap, tradeoffs, and client/user discovery. Technical product conversation around APIs, data models, workflow states, and execution quality. Paid work sample or case discussion using a redacted Bond OS scenario. Final conversation with leadership. How to apply Send your resume including your LinkedIn profile link. A product artifact is encouraged but not required: a PRD, roadmap memo, technical decision document, launch plan, or case study that shows how you think and write.Pay Range$120,000—$300,000 USDBenefits: 401(k) with up to 4% matching Medical, dental, vision and life insurance Paid time off that grows with your tenure Core Values The Pharmacy Hub is dedicated to breaking barriers in healthcare by championing access, intervention and affordability. Customer-first mindset - we develop strong partnerships with telehealth platforms and healthcare companies to enhance access and understand their specific needs Innovation for intervention in care - we develop advanced compounding solutions and products to better support patient health outcomes Continuous improvement - we continuously improve our processes and offerings through intelligent, honest and transparent practices to deliver cost-effective solutions that truly benefit our clients and their patients. You will play a pivotal role in maintaining these values and contributing to the company's mission of redefining healthcare delivery through superior pharmacy services At The Pharmacy Hub, we don't just offer jobs—we offer opportunities for career growth and development. We take pride in our fast-paced, team-driven culture and are committed to supporting our employees in achieving success. If you're ready to join a company that values hard work, dedication, and teamwork, apply today! We look forward to welcoming you to The Pharmacy Hub and working together to deliver top-tier pharmacy fulfillment solutions. The Pharmacy Hub is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age (40 or older), disability, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Applicants requiring a reasonable accommodation to participate in the hiring process are encouraged to indicate this in their application. The Pharmacy Hub participates in E-Verify. A post-offer background check is required for all positions. Additional pre-employment screenings may apply depending on the role.

🏢 Summary: Senior Scientist role focused on integrating human genetics, multi-omics, and real-world clinical data to support therapeutic target validation, patient stratification, and drug development. The position involves analyzing biobank-scale datasets, EHRs, and population data using computational and statistical methods in a cross-functional research environment. This onsite role in San Diego emphasizes translational genetics, RWE analytics, and scalable data workflows for precision medicine. 🗂️ Requirements: PhD in Biostatistics, Statistical Genetics, Epidemiology, Bioinformatics, Computational Biology, Biomedical Data Science, or related quantitative field, 3+ years of experience in human genetics, biomedical data science, or real-world data analytics, Experience with AI/LLMs for coding, data analysis, literature synthesis, and report generation, Experience working with biobank-scale datasets and real-world data sources, Strong background in statistical genetics, epidemiology, or observational data analysis, Experience integrating genetics, omics, and clinical datasets, Proficiency in R or Python, Ability to work in a fast-paced cross-functional research environment, Valid authorization to work in the country where the role is located 📃 Skills: R, Python, AI, LLMs, RNAi, EHR, OMOP, OHDSI, PheWAS, Biostatistics, Bioinformatics, Epidemiology, Genetics, Omics, MachineLearning, Statistics 🏢 Description: Arrowhead Pharmaceuticals, Inc. is a commercial stage biopharmaceutical company developing RNA interference (RNAi)-based therapies for diseases with a genetic basis. The company leverages RNA chemistries and delivery technologies to silence disease-causing genes and advance therapeutics across multiple disease areas. The Senior Scientist will contribute to the integration of human genetics, multi-omics datasets, and real-world clinical data to generate human evidence supporting therapeutic development. This role works at the intersection of translational genetics, computational biology, and real-world evidence analytics to support target validation, patient stratification, clinical endpoint evaluation, and indication prioritization across therapeutic programs. The successful candidate will collaborate closely with Translational Genetics & Data Science and cross-functional teams including Real-World Evidence, Clinical Development, Translational Medicine, and Discovery Biology. The role leverages large-scale biobank datasets, electronic health records (EHR), and other clinical datasets to translate human data into actionable insights supporting drug discovery and development. This position is onsite 5 days a week in San Diego. Responsibilities - Integrate human genetics, multi-omics datasets, and real-world clinical data to generate evidence supporting therapeutic target validation and indication prioritization - Analyze large-scale biobank and population datasets to identify genetic associations and disease mechanisms relevant to therapeutic programs - Collaborate with the Real-World Evidence (RWE) team to analyze clinical datasets including electronic health records (EHR), claims databases, registries, and longitudinal cohort data - Conduct statistical and computational analyses to characterize disease progression, patient heterogeneity, and treatment outcomes using real-world datasets - Translate genetic findings and clinical observations into hypotheses that inform biomarker strategies, patient stratification, and clinical trial design - Develop scalable analytical workflows to integrate genetics, omics, and clinical data sources - Work collaboratively with cross-functional teams including Discovery Biology, Clinical Development, Translational Medicine, and Data Science to support program decisions - Present results to internal stakeholders and contribute to reports, project discussions, and scientific publications - Manage multiple projects simultaneously and communicate progress and findings effectively to project teams and leadership - Adhere to data governance and compliance standards when working with sensitive clinical datasets Requirements - PhD in Biostatistics, Statistical Genetics, Epidemiology, Bioinformatics, Computational Biology, Biomedical Data Science, or a related quantitative discipline - 3+ years of experience in human genetics, biomedical data science, or real-world data analytics - Strong experience leveraging AI/LLMs to accelerate end-to-end research workflows, including coding, data analysis, literature synthesis, and report generation - Experience working with biobank-scale datasets and real-world data sources such as EHR, claims databases, registries, or population cohorts - Strong background in statistical genetics, epidemiology, or observational data analysis - Experience integrating genetics, omics, and clinical datasets - Proficiency in R or Python for large-scale data analysis - Excellent problem-solving, analytical, and communication skills - Ability to work effectively in a fast-paced, collaborative, and cross-functional research environment Preferred - Post-doc and industry experience - Experience analyzing large-scale population genetics datasets such as UK Biobank, FinnGen, All of Us, or Genomics England - Familiarity with analytical frameworks including phenome-wide association studies (PheWAS), Mendelian randomization, causal inference methods, and survival analysis - Experience working with real-world clinical data models such as OMOP / OHDSI - Experience collaborating with clinical development or real-world evidence teams - Experience applying machine learning or advanced statistical methods to biomedical datasets - Strong interest in translating human data into actionable insights for drug development Benefits - Competitive salary range: $145,000—$165,000 USD - Excellent benefits package - Candidates must have current, valid authorization to work in the country where this role is located

🏢 Summary: Leadership role overseeing regional account management, retention, and revenue expansion in a regulated healthcare environment. The position focuses on AI-enabled forecasting, customer growth strategies, compliance-driven execution, and cross-functional collaboration to drive scalable post-sale performance. Candidates will lead high-performing teams while improving customer retention, operational efficiency, and enterprise growth. 🗂️ Requirements: 10+ years in account management, customer success, or post-sale commercial leadership, 1+ years leading managers or senior leaders, Experience improving retention and expansion in regulated or complex industries, Advanced proficiency with CRM platforms and forecasting tools, Experience with AI-driven analytics and data-driven decision-making, Strong knowledge of compliance and risk management in regulated environments, Bachelor's degree or equivalent experience, Ability to manage cross-functional collaboration across operations, finance, legal, quality, and sales 📃 Skills: CRM, AI, Analytics, Forecasting, Pipeline, Segmentation, Automation, Dashboards, Finance, Operations, Legal, Compliance, Quality, Healthcare, LifeSciences 🏢 Description: Position Summary: The Director, Account Management – West/Midwest leads regional post-sale revenue performance, retention, and expansion across Empower's customer base, directly impacting predictable growth, customer lifetime value, and enterprise trust. This role owns strategy, operating cadence, and leader development, ensuring disciplined execution, accurate forecasting, and compliant delivery. Leveraging AI as a force multiplier, the leader scales insight generation, prioritization, and decision quality to accelerate speed, consistency, and outcomes. Operating within a hyper-growth, highly regulated 503A/503B environment, the role aligns customer commitments with quality, regulatory, and operational realities. Success requires strong strategic thinking, rigorous execution, and exceptional learning agility to navigate complexity, elevate standards, and deliver durable, scalable performance while building teams, strengthening cross-functional orchestration, and institutionalizing repeatable systems that enhance transparency, accountability, and long-term value creation across the region. Responsibilities: Regional Account Revenue Ownership - Revenue Ownership: Own regional retention and expansion performance by designing AI-enabled account strategies, optimizing pricing and renewal motions, and ensuring disciplined execution. Drive predictable growth through data-informed prioritization, pipeline visibility, and risk mitigation while protecting margin, compliance, and service quality in a regulated healthcare environment. - Growth Strategy: Develop scalable expansion frameworks leveraging AI-driven segmentation, opportunity scoring, and customer insights to unlock wallet share. Align regional growth plans with enterprise priorities, ensuring execution rigor, cross-functional coordination, and measurable outcomes. - Forecast Accuracy: Establish high-confidence forecasting systems using AI-enhanced analytics, standardized inspection cadences, and performance dashboards. Partner with Finance and Revenue Operations to ensure data integrity, reduce variability, and proactively surface risks. Account Management Team Leadership - Leader Development: Build and coach high-performing managers through structured development plans, performance analytics, and AI-supported coaching insights. Elevate leadership capability, reinforce accountability, and cultivate a culture of excellence. - Performance Management: Drive clear expectations, rigorous inspection rhythms, and data-backed performance interventions. Utilize AI tools to identify gaps, optimize productivity, and enhance decision-making across the regional account management organization. - Talent Strategy: Attract, retain, and develop top-tier talent through structured hiring, succession planning, and capability building. Leverage AI in talent assessment and workforce planning to ensure scalable leadership pipelines aligned with growth trajectory. Customer Stewardship and Executive Engagement - Executive Engagement: Own senior-level customer relationships, leading strategic conversations, escalations, and negotiations with credibility and transparency. Use AI-driven insights to anticipate needs, strengthen trust, and align customer expectations with operational realities. - Value Delivery: Ensure consistent delivery of customer commitments through disciplined account planning, proactive communication, and performance tracking. Integrate AI tools to monitor satisfaction, identify risks, and enhance service quality across complex, high-value accounts. - Retention Strategy: Design and execute retention programs leveraging predictive analytics, health scoring, and engagement models. Mitigate churn risks early while reinforcing long-term partnerships that drive sustainable growth and enterprise confidence. Compliance-Embedded Account Execution - Process Optimization: Standardize account management workflows using AI-enabled automation, playbooks, and performance metrics. Drive efficiency, scalability, and consistency while reducing manual effort and improving execution quality across the region. - Cross-Functional Collaboration: Orchestrate collaboration across Operations, Quality, Finance, Legal, and Sales to ensure seamless account execution. Clarify ownership, streamline escalation paths, and align priorities to operate as a unified enterprise system. - Risk Management: Embed compliance, quality, and contractual guardrails into all account activities. Partner with regulatory and legal teams to proactively identify risks, ensure adherence, and prevent exposure in a highly regulated 503A/503B environment. Forecasting, Renewal Discipline, and Predictability - Data Utilization: Leverage AI and advanced analytics to generate actionable insights, inform strategy, and enhance decision-making. Drive adoption of data-driven practices that improve speed, accuracy, and business outcomes across account management functions. - System Scaling: Build scalable systems, frameworks, and governance models that support rapid growth. Ensure repeatability, transparency, and alignment with enterprise standards while enabling flexibility in a dynamic, high-growth environment. - Continuous Improvement: Champion a culture of innovation and learning agility by integrating AI tools, testing new approaches, and refining processes. Continuously elevate performance standards to sustain competitive advantage and operational excellence. Knowledge and Skills: - Advanced proficiency in CRM platforms, forecasting tools, and AI-driven analytics for pipeline management, customer insights, and performance optimization within complex, high-growth commercial environments. - Strong leadership capability in building, coaching, and scaling high-performing teams, with expertise in performance management, talent development, and organizational design aligned to strategic priorities. - Deep understanding of regulated business environments, including risk management, compliance alignment, and cross-functional coordination across quality, legal, and operational stakeholders. - Exceptional communication, executive presence, and strategic thinking skills, with the ability to influence senior stakeholders, manage complexity, and drive enterprise-level outcomes. Experience and Qualifications: - 10 to 15 years of experience leading account management, customer success, or post-sale commercial organizations, with at least 1 to 2 years leading leaders. - Demonstrated success improving retention, expansion, and customer trust in regulated or complex environments. - Experience operating within healthcare, life sciences, or similarly governed industries preferred. - Bachelor's degree required, or equivalent experience considered. Key Competencies: - Customer Focus: Builds trust through customer-centric solutions. - Strategic AI: Guides responsible AI adoption and adaptation. - Optimizes Work Processes: Drives efficiency with continuous improvement. - Collaborates: Partners effectively to achieve shared goals. - Resourcefulness: Secures and deploys resources efficiently. - Manages Complexity: Simplifies and solves complex challenges. - Ensures Accountability: Delivers on commitments with integrity. - Situational Adaptability: Adjusts approach to shifting conditions. - Communicates Effectively: Tailors messages to diverse audiences. Values: - People: Empowering people defines who we are. - Quality: Excellence in every product, every time. - Service: Serving others is our highest purpose. - Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.

🏢 Summary: Frontend Engineer role focused on building modern, user-facing interfaces for GenAI and agentic AI solutions in enterprise environments. The position centers on creating responsive React applications with advanced AI interaction patterns such as streaming chat and real-time agent experiences. You will integrate frontend layers with LLM services and backend APIs to deliver seamless AI-powered products. 🗂️ Requirements: Minimum 3 years commercial frontend development experience, Strong proficiency in React, Strong proficiency in TypeScript, Solid knowledge of modern frontend architecture, Experience with REST APIs integration, Experience with WebSockets or streaming endpoints, Strong UX and interaction design skills, Familiarity with AI-powered interfaces, Proficiency with AI-assisted development tools 📃 Skills: React, TypeScript, REST, WebSockets, Streaming, UX, StateManagement, PerformanceOptimization, ResponsiveDesign, LLM, APIs, Cursor, Copilot, GenAI 🏢 Description: Job Description WHO WE ARE Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song. At the AI&Data, we work locally and globally with over 250 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting-edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics. THE WORK As a Frontend Engineer – AI Solutions, you will design and build the user-facing layer of GenAI and agentic AI solutions for leading global enterprises. You’re the person who makes powerful AI systems usable – turning complex agent interactions, streaming LLM outputs, and enterprise data into intuitive, polished product experiences. We’re looking for someone who is React-strong, thinks in terms of user experience, and is excited about solving the unique UI/UX challenges that come with building AI-powered products. You will: Build modern, responsive frontends for GenAI products using React and TypeScript – conversational interfaces, agent dashboards, data exploration tools, and interactive analytics views Design and implement AI-specific interaction patterns: streaming chat, real-time agent status, citation rendering, confidence indicators, and graceful handling of AI uncertainty Own the UX quality of AI products – making deliberate decisions about information architecture, component design, accessibility, and how users interact with AI outputs Integrate frontends with backend APIs, LLM services, and streaming endpoints – working closely with GenAI engineers to deliver seamless end-to-end experiences Collaborate with engineers, designers, and consultants on cross-functional teams, shaping how enterprise users experience AI Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office – depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. WHAT’S IN IT FOR YOU? Build the interface layer of cutting-edge AI: you’ll shape how users actually experience GenAI – the part that makes the difference between a demo and a product. Solve UI/UX problems that barely exist yet: streaming agent interactions, multi-agent status views, conversational analytics – these design patterns are being invented right now, and you’ll be the one inventing them. Grow at the intersection of frontend engineering and AI: work alongside experienced AI & Data practitioners, gaining unique product engineering expertise that very few frontend developers have today. Qualification HERE’S WHAT YOU’LL NEED Min. 3 years of commercial experience in frontend development Strong proficiency in React and TypeScript Solid understanding of modern frontend architecture – state management, component design, performance optimization, and responsive design Experience integrating frontends with REST APIs, WebSockets, or streaming endpoints Strong UX sensibility – ability to make deliberate design and interaction decisions, not just implement mockups Familiarity with AI-powered product interfaces (chatbots, conversational UIs, dashboards with AI-generated content) or a strong interest in this space Proficiency with AI-assisted development tools (e.g., Cursor, Copilot, or similar) – we expect these to be a core part of your daily workflow, not an occasional add-on Good command of English (min. B2+) BONUS POINTS IF YOU HAVE Experience building real-time or streaming UIs (e.g., Server-Sent Events, WebSocket-based interfaces) Hands-on experience with UI component libraries and design systems (e.g., Shadcn, Radix, Material UI) Familiarity with Next.js or similar full-stack React frameworks Basic understanding of LLMs, prompt engineering, or how GenAI APIs work Experience with data visualization libraries (e.g., D3.js, Recharts, Visx) Knowledge of accessibility standards (WCAG) and inclusive design practices Experience with frontend testing (e.g., Playwright, Cypress, React Testing Library) Basic backend or API development experience (Node.js, Python, FastAPI) Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don’t meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application. WHAT WE OFFER? A permanent employment contract Individual support of a People Lead and a clearly defined path of professional development, including the possibility of a session with a Coach A comprehensive training package, including: soft skills, technical and language training, access to e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses and certifications Employee Assistance Program offering legal, financial and psychological consultations Employee Share Purchase Plan – employees who own company shares are automatically eligible for quarterly dividends Paid employee referral program Private medical care and life insurance Access to the Worksmile benefits platform (including the Multisport card) Interview Note: We value practical skills. During the technical interview, we’ll give you a real problem to solve and debug together – using your preferred development setup, including any AI-assisted tools you work with day to day. WHAT WE BELIEVE: Accenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with. Clicking apply I hereby express my consent to process my personal data included in my job offer by Accenture Sp. z o.o. or any other entity of the Accenture group for recruitment purposes, and that it is a data controller within the meaning of GDPR. More information about Accenture (and if necessary also its representative) can be found here: https://www.accenture.com/pl-pl/privacy-policy #LI-EU

🏢 Summary: Senior engineering role focused on building AI-native, containerized backend services and data infrastructure for clean energy systems. The position involves integrating multicloud data sources, enabling governed data access, supporting AI/ML workflows, and operating production-grade APIs and platforms. Candidates will work across backend engineering, data systems, infrastructure, and AI tooling in a fast-moving environment. 🗂️ Requirements: 6+ years building and operating production backend services or platforms, Strong Python expertise, Working knowledge of JavaScript, Working knowledge of TypeScript, Advanced SQL skills, Command-line proficiency, Experience building containerized microservices, Experience with FastAPI or NestJS, Experience with GraphQL or REST APIs, Cloud infrastructure experience, Experience with multicloud environments, Experience with Snowflake, Experience with dbt, Experience with Airflow, Knowledge of DuckDB or Iceberg, Authentication and authorization expertise, Experience with fine-grained authorization models, CI/CD experience, Observability and reliability engineering knowledge, Understanding of machine learning principles 📃 Skills: Python, JavaScript, TypeScript, SQL, Bash, Zsh, FastAPI, Pydantic, NestJS, Fastify, Zod, GraphQL, REST, Snowflake, dbt, Airflow, DuckDB, Iceberg, CI/CD, ReBAC, ABAC, MCP, Redis, Kubernetes, D3 🏢 Description: Palmetto is a clean tech company focused on accelerating the transition to renewable energy through software, financial products, and services. Location This position will be based in Charlotte, NC, Boston, MA or New York, NY. Reporting This position will report to the VP, Data Intelligence. Summary of Role Energy is one of the defining challenges and opportunities of our generation, and the companies that lead will be the ones that operationalize AI the fastest. Palmetto is building to be agent-first and machine-first: data, systems, and products designed for machines, models, and agents, not just people reading dashboards. The mandate is to take what is cutting edge today and make it our table stakes. We are looking for a versatile, senior engineer to help build the services and infrastructure that make this real. You will build robust, containerized services that make data across many systems discoverable, governed, and usable by people, applications, and AI agents, bring new data into that ecosystem, and integrate it for the teams that rely on it. This is a broad, hands-on role for someone who is fluent in data but is fundamentally a software and platform engineer, not a traditional data engineer focused on the warehouse. Priorities will shift as the business does, so we want someone who can move across services, data, infrastructure, governance, and AI tooling, and pick up whatever is next. Success means agent-first and machine-first stop being aspirations and become how Palmetto operates by default: services, teams, and AI agents get the data they need, governed and reliable, wherever the business goes next. Strategic & Tactical - Build and operate robust, containerized backend services and APIs (REST, GraphQL) that serve data from many systems. - Integrate heterogeneous, multicloud data sources, and find, ingest, transform, and wrangle new datasets into clean, usable form. - Build governed access to data: authentication, fine-grained authorization, audit, and policy enforcement. - Design for machines first: expose data and capabilities to AI agents, services, and automated callers. - Stand up and maintain metadata, cataloging, and lineage so data stays discoverable and trustworthy. - Own services in production: CI/CD, observability, performance, reliability, and cost. - Act as a hands-on technical and solutions-engineering partner for internal teams and integrations. - Support ML and AI workflows by making features and model outputs discoverable, governed, and servable. Qualifications Minimum: - Senior-level experience (typically 6+ years) building and operating production backend services or platforms. - Deep Python knowledge plus working JavaScript/TypeScript and SQL. - Experience shipping robust, containerized microservices using FastAPI with Pydantic or NestJS with Fastify and Zod. - Experience with GraphQL and/or REST APIs. - Cloud infrastructure and multicloud experience. - Experience with Snowflake, dbt, SQL, Airflow, DuckDB, Iceberg, or similar tooling. - Strong authentication and authorization knowledge. - Experience with CI/CD and observability. - Understanding of machine learning principles. - Strong communication and solutions engineering skills. Preferred: - Experience with data catalogs, metadata platforms, and governance. - Experience building or integrating AI-agent interfaces. - Experience with data visualizations and data apps. - Familiarity with Redis, secrets management, and Kubernetes. - Experience sourcing or licensing third-party datasets. - Interest in clean energy and home electrification. Benefits - Unlimited PTO - Medical, dental, and vision coverage - Paid parental leave - Retirement plans Employment is contingent upon the successful completion of a background check. Equal Employment Opportunity Palmetto embraces diversity and is an Equal Employment Opportunity employer. Employment decisions are based on qualifications, merit, and business need.

🏢 Summary: Senior engineering role focused on building AI-native, containerized backend services and data infrastructure for clean energy systems. The position involves integrating multicloud data sources, enabling governed access to data, supporting AI/ML workflows, and operating production-grade services and APIs. The role requires strong software engineering, platform engineering, and modern data stack expertise. 🗂️ Requirements: 6+ years building and operating production backend services or platforms, Strong Python expertise, JavaScript, TypeScript, SQL, Experience building containerized microservices, Experience with REST or GraphQL APIs, Cloud infrastructure experience, Experience with modern data stack tools, Authentication and authorization knowledge, CI/CD and observability experience, Understanding of machine learning principles, Command-line proficiency 📃 Skills: Python, JavaScript, TypeScript, SQL, FastAPI, Pydantic, NestJS, Fastify, Zod, GraphQL, REST, Snowflake, dbt, Airflow, DuckDB, Iceberg, CI/CD, DevOps, SRE, Redis, Kubernetes, Bash, zsh, MCP 🏢 Description: Company Description Palmetto is a leading clean tech company on a mission to accelerate the transition to a clean energy future. Our award-winning technology platform empowers homeowners, businesses, and entrepreneurs to adopt renewable energy through simple, scalable, and innovative solutions. We deliver end-to-end solutions for whole home electrification that put clean energy within reach for all. Our employees are our most valuable resource. Palmetto offers a comprehensive benefits package including unlimited PTO, medical, dental, and vision coverage, paid parental leave, retirement plans, and more. Reporting This position will report to the VP, Data Intelligence. Summary of Role Energy is one of the defining challenges and opportunities of our generation, and the companies that lead will be the ones that operationalize AI the fastest. Palmetto is building to be agent-first and machine-first: data, systems, and products designed for machines, models, and agents. We are looking for a versatile, senior engineer to help build the services and infrastructure that make this real. You will build robust, containerized services that make data across many systems discoverable, governed, and usable by people, applications, and AI agents, bring new data into that ecosystem, and integrate it for the teams that rely on it. This is a broad, hands-on role for someone who is fluent in data but is fundamentally a software and platform engineer, not a traditional data engineer focused on the warehouse. Priorities will shift as the business does, so we want someone who can move across services, data, infrastructure, governance, and AI tooling. Strategic & Tactical - Build and operate robust, containerized backend services and APIs (REST, GraphQL) that serve data from many systems. - Integrate heterogeneous, multicloud data sources, and find, ingest, transform, and wrangle new datasets into clean, usable form. - Build governed access to data: authentication, fine-grained authorization, audit, and policy enforcement. - Design for machines first: expose data and capabilities to AI agents, services, and automated callers. - Stand up and maintain metadata, cataloging, and lineage so data stays discoverable and trustworthy. - Own services in production: CI/CD, observability, performance, reliability, and cost. - Act as a hands-on technical and solutions-engineering partner for internal teams and integrations. - Support ML and AI workflows by making features and model outputs discoverable, governed, and servable. Qualifications Minimum: - Senior-level experience (typically 6+ years) building and operating production backend services or platforms. - Deep Python knowledge plus working JavaScript/TypeScript and SQL. - Proven track record shipping robust, containerized microservices using FastAPI with Pydantic or NestJS with Fastify and Zod. - Experience with GraphQL and/or REST APIs. - Cloud infrastructure experience, ideally multicloud. - Fluency with modern data stack tools including Snowflake, dbt, SQL, Airflow, DuckDB, and Iceberg. - Strong authentication and authorization knowledge. - DevOps and SRE sensibility including CI/CD and observability. - Understanding of machine learning principles. Preferred: - Experience with data catalogs or metadata platforms and data governance. - Experience building or integrating AI-agent interfaces. - Experience with data apps and visualizations. - Familiarity with Redis, secrets management, and Kubernetes. - Experience sourcing or licensing third-party datasets. - Interest in clean energy and home electrification. Employment is contingent upon the successful completion of a background check. Equal Employment Opportunity Palmetto embraces diversity and is an Equal Employment Opportunity employer. Employment is decided on the basis of qualifications, merit, and business need.