🏢 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: 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: 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 Backend Engineer responsible for designing, building, and maintaining production-grade backend systems that power AI-driven business automation. The role covers full ownership from system design to deployment, focusing on scalable, reliable distributed systems and cloud infrastructure. This is a Warsaw-based, office role with strong emphasis on technical leadership and AI-supported development workflows. 🗂️ Requirements: Senior-level experience in backend engineering on production systems, Strong Python programming skills, Experience with distributed systems concepts, Experience with cloud platforms (AWS, Azure, or similar), Knowledge of SQL and NoSQL databases, Ability to design, implement, and deliver systems to production, Strong written and spoken communication skills, Regular use of AI tools in development workflows 📃 Skills: Python, AWS, Azure, SQL, NoSQL, DistributedSystems, Concurrency, AsynchronousProcessing, APIs, Cloud, GitHubCopilot, OpenAI, Claude, TypeScript 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with real business tasks. We solve this problem by building a platform that helps AI understand business rules, workflows, and processes. This allows AI to make better decisions and provide accurate, reliable, and compliant results. Well-known companies from different industries use our technology to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that used to take hours in just seconds. We also work with leading technology partners and have been recognized for our innovative approach. Our goal is to help people everywhere get better answers through AI. Job Description We are looking for a Senior Backend Engineer who can take ownership of important systems instead of only completing assigned tasks. You will solve complex problems, design backend solutions, build them, and make sure they run well in production. We want someone with strong technical skills, good communication, and the ability to create simple, reliable, and easy-to-maintain systems. This is a product engineering role with responsibility from system design to production. The position is based in Warsaw and requires office work. Responsibilities Design and develop backend services, APIs, data processing, and background tasks for production systems. Turn unclear business needs into clear technical plans and practical solutions. Maintain services after release by improving reliability, monitoring, performance, and fixing issues. Make good decisions about system architecture, data models, interfaces, and future scaling. Write technical documentation, architecture notes, and diagrams when they help the team. Work closely with product managers, frontend engineers, and platform engineers to deliver complete solutions. Improve development processes using AI tools, automation, and internal workflows. Support the team through code reviews, design reviews, and practical technical leadership. Requirements Strong experience as a senior backend engineer working on production systems. Excellent Python skills and the ability to write clean and maintainable code. Good understanding of distributed systems, including concurrency, failure handling, data consistency, asynchronous processing, and service design. Experience with cloud platforms such as AWS, Azure, or similar services. Knowledge of SQL, NoSQL databases, schema design, and performance optimization. Ability to take a project from an idea through design and implementation to production. Strong written and spoken communication skills with the ability to explain technical topics clearly. Regular use of AI tools in everyday development and interest in improving AI-based workflows. Nice to Have Experience with LLM-based applications, search systems, AI infrastructure, or large data pipelines. Knowledge of TypeScript or the ability to contribute to frontend development when needed. Experience guiding other engineers and influencing technical decisions without being a formal manager. What We Offer B2B contract and company stock options. MacBook Pro for work. Modern technology stack and opportunities to contribute to open-source projects. Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP servers. Our Culture and Values Our leadership team has strong experience in AI and knowledge management. We have secured more than $60 million in funding and achieved three years of continuous 3x growth. Our work is based on these values: Quality – We aim for excellent work and high coding standards. Momentum – We take initiative and keep projects moving forward. Accountability – We take responsibility and give honest, respectful feedback. Hard Work – We believe great results come from teamwork and consistent effort. Learning Agility – We stay curious, learn from mistakes, and improve every day. Adapt and Thrive – We accept change and see challenges as opportunities. Win Together – We succeed as one team through honesty, openness, and support for our shared mission.

🏢 Summary: Senior Automotive Test Engineer role focused on defining and leading end-to-end test strategies for AI-driven automotive software systems, ensuring performance, reliability, and safety. The position owns validation architecture, test automation, and cross-functional coordination within complex vehicle environments. It emphasizes advanced testing tools, data-driven validation, and continuous process improvement. 🗂️ Requirements: Bachelor's degree in Computer Science or Electronics Engineering, 8+ years of automotive software testing experience, Hands-on experience with dSPACE, CANoe, CANape, DIVA, or OpenTest, Strong programming or scripting skills in JavaScript, Python, or CAPL, Experience in test automation and validation processes, Strong knowledge of test coverage analysis and defect tracking metrics, Experience working in cross-functional automotive engineering environments 📃 Skills: dSPACE, CANoe, CANape, DIVA, OpenTest, JavaScript, Python, CAPL, HIL, SIL, Automation, Validation, AI, Analytics, ISO, ISTQB, IREB 🏢 Description: We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow.Bachelor's degree in Computer Science or Electronics Engineering. Minimum 8+ years of experience in automotive software testing. This position is focused on defining and leading testing strategies for AI-driven automotive software systems, ensuring performance, reliability, and safety of advanced in-vehicle technologies. The role involves end-to-end validation strategy ownership, test architecture definition, and coordination of cross-functional testing activities within complex automotive environments. The engineer will work closely with development, validation, and system engineering teams to ensure robust test coverage, high-quality deliverables, and continuous improvement of testing processes. The position requires strong expertise in automotive testing environments, test automation, and validation frameworks, with a focus on intelligent vehicle systems. Key Responsibilities : Test Strategy & Architecture Define and lead end-to-end test strategies for AI-driven automotive software systems Design validation approaches to ensure performance, reliability, and safety of vehicle technologies Establish test coverage frameworks and ensure alignment with system requirements Drive continuous improvement of testing methodologies and validation processes Automotive Testing & Validation Tools Execute and oversee testing activities using industry-standard tools such as dSPACE, CANoe, CANape, DIVA, and OpenTest Support integration of hardware-in-the-loop (HIL) and software-in-the-loop (SIL) environments when applicable Ensure effective use of measurement and diagnostic tools for system validation Support end-to-end validation across automotive software development lifecycle Test Automation & Scripting Develop and maintain test automation scripts using JavaScript, Python, and CAPL Support automation of diagnostic and validation workflows Improve efficiency and repeatability of testing processes through scripting and tooling Collaborate with engineering teams to integrate automated testing into development pipelines Data & Analytics in Testing Support use of data pipelines and analytics tools for automotive software validation Analyze test data to identify trends, defects, and system performance issues Contribute to data-driven decision-making for validation and quality improvements Defect Management & Quality Improvement Track and analyze defects using structured metrics and reporting systems Support root cause analysis and resolution of complex technical issues Drive continuous improvement initiatives based on test results and quality indicators Cross-Functional Collaboration & Coordination Collaborate with software, system, and validation engineering teams Coordinate testing activities across multidisciplinary teams and stakeholders Clarify responsibilities and ensure alignment across testing and development efforts Build strong internal networks to support alignment and execution success Communication & Reporting Communicate test results, validation status, and technical findings clearly to stakeholders Prepare technical documentation, reports, and test summaries Present complex technical concepts in a clear and structured manner Support decision-making through accurate and timely reporting Profile : Experienced automotive test engineer with strong background in software testing and validation Comfortable working in complex, cross-functional, and safety-critical environments Strong analytical mindset with demonstrated problem-solving capabilities Self-driven, organized, and capable of managing multiple priorities effectively Strong communicator with ability to align stakeholders and drive collaboration Must Have : 8+ years of experience in automotive software testing Bachelor's degree in Computer Science or Electronics Engineering Hands-on experience with testing tools (dSPACE, CANoe, CANape, DIVA, OpenTest) Strong programming/scripting skills in JavaScript, Python, and/or CAPL Strong understanding of test coverage analysis and defect tracking metrics Experience working in cross-functional automotive environments Strong analytical, troubleshooting, and problem-solving skills Good communication and coordination abilities across teams Experience in test automation and validation processes Good to Have : ISTQB or IREB certification Experience with AI-driven or autonomous vehicle systems Knowledge of data pipelines and automotive analytics tools Experience with HIL/SIL environments Exposure to automotive safety or compliance standards (functional safety, ISO, etc.) Experience in large-scale OEM or Tier 1 automotive environments ALTEN Technology is an Equal Opportunity Employer. Our Policy is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

🏢 Summary: Senior Engineering Manager (Quality) role focused on defining and implementing a modern, impact-driven quality strategy for a large-scale telemedicine product across web, mobile, and backend. The position combines engineering leadership with deep expertise in quality engineering, incident management, and AI-augmented testing. You will shape organizational standards, optimize testing practices, and leverage automation and LLMs to improve delivery speed and product reliability. 🗂️ Requirements: Experience leading engineering teams with delivery ownership, Strong background in QualityEngineering, Expertise in Unit testing, Expertise in Integration testing, Expertise in E2E testing, Expertise in Contract testing, Experience with AI-driven testing, Experience using LLM in testing, Experience with TestAutomation, Experience with CICD tools, Experience managing ProductionIncidents, Ability to analyze EngineeringMetrics, Fluent English, Fluent Polish 📃 Skills: QualityEngineering, TestEngineering, UnitTesting, IntegrationTesting, E2ETesting, ContractTesting, ExploratoryTesting, AI, LLM, Automation, CICD, IncidentManagement, Metrics, JavaScript, TypeScript, React, Angular, Node.js, Java, .NET, Python 🏢 Description: 💡 O nas Jesteśmy firmą technologiczną, która od 25 lat współpracuje z partnerami z Europy i Stanów Zjednoczonych, tworząc zespoły i wspólnie budując zaawansowane aplikacje webowe. Specjalizujemy się w technologiach JavaScript / TypeScript / React / Angular / Node.js ,a nasze doświadczenie obejmuje również Java, .NET oraz Python . Wspieramy klientów w analizie systemów, projektowaniu architektury, struktur danych oraz we wdrażaniu nowoczesnych metodyk projektowych (SAFe).Nasze rozwiązania mają realny wpływ na życie milionów użytkowników na całym świecie. 🔎 Kogo szukamy Szukamy osoby - Senior Engineering Manager (Quality) , która zaczyna od pytania „co tak naprawdę daje nam pewność, że system działa dobrze?” - i nie zadowala się odpowiedzią w postaci liczby testów czy coverage’u. To rola dla kogoś, kto ma doświadczenie w prowadzeniu zespołów inżynierskic h i jednocześnie głęboko rozumie jakość, ale nie utożsamia jej z rozbudowaną warstwą QA. Szukamy osoby, która potrafi spojrzeć krytycznie na istniejące praktyki , odróżnia te, które realnie budują zaufanie do systemu, od tych, które tylko generują koszt i złożoność i ma odwagę to upraszczać. Ważne jest własne , ugruntowane zdanie na temat tego, jak dziś powinna wyglądać jakość w inżynierii szczególnie w kontekście zmian, które wnosi AI. Nie chodzi o podążanie za trendami, tylko o świadome decyzje: gdzie automatyzacja i LLM-y faktycznie zwiększają efektywność, a gdzie nie wnoszą wartości. To również rola dla osoby, która myśli szerzej niż o testach - interesuje ją, jak jakość „dzieje się” w organizacji: jak projektowane są systemy, jak podejmowane są decyzje, jak zespoły pracują z ryzykiem i jak reagują na problemy produkcyjne. Jeśli bliżej Ci do budowania podejścia i standardów niż do rozwijania procesów i narzędzi dla samych procesów - to będzie dobry kierunek 😉. 🎯 Projekt Dołączysz do zespołu budującego i rozwijającego globalny produkt z obszaru telemedycyny. System działa na styku web, mobile i backendu, obsługując dużą liczbę użytkowników i realne scenariusze produkcyjne. Kluczowym wyzwaniem jest zdefiniowanie i wdrożenie podejścia do jakości, które: odzwierciedla rzeczywisty wpływ na użytkownika, a nie tylko metryki techniczne pozwala zespołom działać szybciej, bez utraty kontroli nad ryzykiem wykorzystuje AI i automatyzację tam, gdzie realnie zwiększają efektywność To rola, w której będziesz kształtować sposób myślenia o jakości w całej organizacji. ✨ Twoje zadania Zdefiniowanie, czym jest jakość w organizacji – w oparciu o realny wpływ na użytkownika i stabilność produktu Prowadzenie obszaru Test Engineering – rozwój zespołu , sposób pracy i osadzenie quality w codziennym delivery Odpowiedzialność za obszar incidentów produkcyjnych – triage, priorytetyzacja i doprowadzanie tematów do rozwiązania Krytyczna analiza istniejących praktyk testowych i podejmowanie decyzji o ich uproszczeniu lub eliminacji Wypracowanie podejścia do AI-augmented testing – wykorzystanie LLM i automatyzacji w sposób świadomy i pragmatyczny Współpraca z Engineering Managerami i Staff Engineerami nad standardami, które podnoszą jakość w całej organizacji Budowanie „quality thinking” w zespołach – zanim powstanie kod, nie tylko po jego napisaniu 🔧 Stack technologiczny Środowisko obejmuje nowoczesne rozwiązania webowe i backendowe oraz standardowe narzędzia CI/CD i automatyzacji testów. Kluczowe jest doświadczenie w pracy z różnymi poziomami testów (unit, integration, E2E, contract) oraz rozumienie ich roli w kontekście produktu. 👉 Tak wyobrażamy sobie profil osoby na tę pozycję: Doświadczenie w prowadzeniu zespołów inżynierskich, z realnym ownershipem nad delivery, kierunkiem technicznym i rozwojem zespołu Silne zaplecze w quality engineering i umiejętność oceny, kiedy dane podejście (unit, integration, E2E, contract, exploratory) faktycznie wnosi wartość Doświadczenie lub świadome podejście do wykorzystania AI w testowaniu (LLM, automatyzacja, inteligentna selekcja testów) - z rozróżnieniem, gdzie to działa, a gdzie nie nie działa Umiejętność łączenia perspektywy technicznej z biznesową (rozumienie jakości przez wpływ na użytkownika i ryzyko) Dobra orientacja w danych i metrykach wspierających decyzje inżynierskie Doświadczenie z nowoczesnymi frameworkami testowymi i narzędziami CI/CD Bardzo dobra znajomość języka angielskiego (komunikacja w projekcie). Bardzo dobra znajomość języka polskiego. 👉 Oferujemy: dużo samodzielności i odpowiedzialności, dział w rozwoju długoterminowego projektu o dużej skali, pracę w międzynarodowym zespole, możliwość rozwoju kompetencji w ramach projektu oraz indywidualnie, możliwość rozwoju kompetencji technicznych i pracy z najnowszymi technologiami AI, możliwość pracy zdalnie, hybrydowo lub w jednym z naszych biur ( Wrocław/Warszawa ), atrakcyjne wynagrodzenie oraz współpracę w modelu B2B. 🤝 Dlaczego warto z nami pracować? W ArdentCode polegamy na sobie. Jesteśmy dociekliwi. Chętnie dzielimy się wiedzą . Wierzymy, że tylko w ścisłej współpracy możemy tworzyć naprawdę wielkie rzeczy. Wypracowaliśmy kulturę organizacyjną i środowisko tworzące przestrzeń do ciągłego rozwoju naszego Zespołu i przestrzeń do osiągania osobistych celów. Dbamy aby dostarczać Ci projekty, dzięki którym zrealizujesz własną ścieżkę rozwoju kompetencji. 👉 Co dalej -> Aplikuj. Prześlij nam swoje CV 😊 Chcemy poznać Twoje umiejętności i sposób pracy, jednocześnie dając Ci pełen obraz naszych oczekiwań. Rozmowa wstępna(40 min.) rozmowa techniczna (40 min.) rozmowa z szefem projektu (60 min.) rozmowa techniczna po stronie klienta (60 min.) W wielkim finale spotkamy się, aby ustalić warunki i uzgodnić ofertę współpracy. 👋 Czekamy na Twoje CV. Do zobaczenia na wstępnej rozmowie!

🏢 Summary: Leadership role managing a team of Solutions Engineers in a B2B SaaS analytics environment, driving technical pre-sales strategy and customer success. Combines people management, deep data analytics expertise, and cross-functional collaboration to support complex sales cycles and product adoption. Responsible for coaching the team, optimizing technical sales processes, and ensuring successful implementation of analytics solutions. 🗂️ Requirements: 3+ years managing technical pre-sales, solutions engineering, or professional services teams, Experience in B2B SaaS environment, Deep knowledge of data and analytics products implementation, Experience working on complex technical sales cycles, Ability to communicate complex technical concepts to technical and non-technical stakeholders, Experience collaborating with Sales, Product, and Engineering teams, Hands-on experience with product analytics or modern data stack tools 📃 Skills: SaaS, Analytics, CDP, Datawarehousing, Snowflake, BigQuery, Segment, Hightouch, Mixpanel, Amplitude, Pendo, Contentsquare 🏢 Description: About Mixpanel Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more.About the Role As a Manager on the Solutions Engineering team at Mixpanel, you will lead a talented group of analytics consultants who are pivotal to our success. You will be at the forefront of driving customer value, guiding your team as they serve as the primary technical resources for our Sales organization. This role is a unique blend of leadership, technical expertise, and business strategy. You will be responsible for coaching and developing your team, refining our technical sales processes, and collaborating across departments to ensure our customers achieve their business outcomes with Mixpanel. You will also play a key role in hiring, onboarding, and managing the next wave of Solutions Engineers. By fostering a culture of excellence and deep customer empathy, you will empower your team to architect innovative solutions, drive product adoption, and ultimately secure the technical win with prospects and customers. Responsibilities Develop & Mentor: Lead, coach, and grow a high-performing and inclusive team of Solutions Engineers, actively investing in their career development and upholding a high standard of performance. Drive Results: Partner closely with Sales leadership and Account Executives to provide technical expertise that drives new, retained, and expansion ARR. You will ensure your team's activities are directly contributing to the company's bottom line. Prioritize & Problem Solve: Guide your team through complex customer evaluations and technical challenges. You will manage team resources effectively, aligning the right skills to customer needs to achieve productivity targets and successful outcomes. Cross-Functional Partnership: Act as a key technical liaison, collaborating with peer managers across Sales, Product, and Engineering. You will gather and synthesize customer feedback from your team to influence product strategy and solve problems at scale. Communicate & Manage Change: Effectively translate broader company and departmental strategy into clear, actionable goals for your team. You will guide your direct reports through evolving business priorities with empathy and clarity. Hire the Best: Actively assess the needs of the team, build a pipeline of top talent, and hire outstanding individuals who elevate the team's capabilities and contribute to our inclusive culture. Innovate & Raise the Bar: Relentlessly seek to improve how your team operates, from refining demo strategies and proof-of-concept methodologies to adopting new tools and processes that increase effectiveness and celebrate success. We’re Looking For Someone Who Has progressive experience in a B2B SaaS environment, including 3+ years of people management experience leading a technical pre-sales, solutions engineering, or professional services team. Exhibits a "player-coach" mentality with deep knowledge in the data and analytics space. You are an expert on how data products (like CDPs, data warehouses, and analytics tools) are implemented and adopted by customers. Is a proven cross-functional partner with a track record of successfully working with sales teams to navigate complex deals and drive revenue. Demonstrates expertise in communicating complex technical concepts clearly and effectively to both technical and non-technical stakeholders. Is skilled at prioritizing team activities and managing workload in a dynamic environment, balancing customer needs with efficiency goals. Is a natural mentor and developer of talent, with a passion for coaching and a history of building inclusive, high-achieving teams. Handles ambiguity with ease, demonstrating flexibility and a proactive, problem-solving mindset when adapting to new challenges and business priorities. Actively seeks feedback and is humble to learn, consistently looking for ways to improve themselves and their team. Bonus Points Previous experience in management consulting, strategic operations, or a similar role focused on go-to-market strategy. Direct, hands-on experience with Mixpanel or other product analytics tools like Amplitude, Pendo, or Contentsquare. Strong familiarity with the modern data stack, including tools like Snowflake, Google BigQuery, Segment, or Hightouch. #LI-HybridCompensation The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.Mixpanel Compensation Range$238,300—$321,705 USDBenefits and Perks Comprehensive Medical, Vision, and Dental Care Mental Wellness Benefit Generous Vacation Policy & Additional Company Holidays Enhanced Parental Leave Volunteer Time Off Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break *please note that benefits and perks for contract positions will vary* Culture Values Make Bold Bets: We choose courageous action over comfortable progress. Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes. One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone. Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations. Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star. Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible. Why choose Mixpanel? We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions. Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.

🏢 Summary: Leadership role responsible for designing and implementing a modern Test Automation & Deployment model with AI integrated across the SDLC. The position drives enterprise-wide transformation toward a Shift-Left and AI-first quality engineering culture. It combines strategic ownership of automation, CI/CD integration, and AI-assisted testing with hands-on technological leadership. 🗂️ Requirements: Minimum 5 years experience as Test Automation Lead, DevOps Lead, QA Lead or Engineering Manager, Proven experience in enterprise-scale IT transformation in quality area, Practical experience implementing AI solutions in SDLC or QA, Strong expertise in test automation strategy and frameworks, Experience integrating automated tests with CI/CD pipelines, Knowledge of REST or GraphQL and contract testing, Experience with trunk-based development, Knowledge of TDD and BDD practices, Experience with monitoring and observability tools, Experience using LLM APIs and prompt engineering basics 📃 Skills: Selenium, Playwright, REST-assured, REST, GraphQL, CI/CD, GitLab, GitHub, LLM, TDD, BDD, AI, DevOps, Observability 🏢 Description: Poszukujemy wizjonerskiego lidera/liderki, który/która zaprojektuje i wdroży nowoczesny model Test Automation & Deployment. Misją tej roli jest fundamentalna przebudowa podejścia do jakości, w którym AI jest inteligentnym asystentem w całym procesie wytwórczym (SDLC) – w szczególności w obszarze testów . Jest to rola transformacyjna, wymagająca strategicznej wizji, silnego zaplecza technologicznego i umiejętności przeprowadzenia zespołu przez zmianę w kierunku kultury "Shift-Left" i "AI-first". Lider / Liderka Transformacji Testów Zadania: Strategia Jakości i Automatyzacji: Zdefiniowanie i wdrożenie strategii automatyzacji testów (jednostkowe, UI, API, E2E, kontraktowe, wydajnościowe). Opracowanie docelowego modelu Quality Engineering dla organizacji, opartego na praktykach "Shift-Left". Dobór, standaryzacja i nadzór nad wdrożeniem narzędzi, frameworków i praktyk test automation. Wykorzystanie AI w Procesie Wytwórczym: Projektowanie i wdrażanie rozwiązań AI-assisted w całym cyklu SDLC, m.in . do generowania przypadków testowych, inteligentnej selekcji testów czy wspomagania code review. Integracja narzędzi AI (np. asystenci kodowania, analizatory logów) z pipeline’ami CI/CD i systemami observability. Współpraca w Obszarze CI/CD i Deploymentu: Ścisła współpraca z zespołem odpowiedzialnym za CI/CD w celu integracji zautomatyzowanych testów i narzędzi AI z pipeline'ami. Współdefiniowanie i zapewnienie wdrożenia standardów dla quality gates, strategii branchingu oraz strategii wdrożeń (np. canary/blue-green). Zarządzanie Zmianą i Rozwój Zespołu: Mentoring i rozwój istniejącego zespołu Inżynierii Jakości, przygotowując go do nowych wyzwań i sposobu pracy. Architektura i Współpraca Międzyzespołowa: Bliska współpraca z architektami w celu zdefiniowania podejścia do testów E2E oraz strategii dla mocków i stubów. Kluczowe wyzwania Transformacja kulturowa i kompetencyjna zespołu: Przeprowadzenie doświadczonego zespołu od tradycyjnego modelu testowania do nowoczesnej inżynierii jakości, budując kulturę "właścicielstwa" i proaktywności. Zbudowanie od podstaw nowego modelu operacyjnego i technologicznego: Zaprojektowanie i wdrożenie nowych procesów, narzędzi i metryk w złożonym środowisku enterprise. Efektywna współpraca z przełożonym i zespołem w celu skutecznego wdrożenia strategii transformacji. Doświadczenie: Minimum 5 lat doświadczenia w roli Test Automation Lead, DevOps Lead, QA Lead lub Engineering Manager. Udokumentowany udział w transformacji IT o skali enterprise, w szczególności w obszarze jakości. Doświadczenie w zarządzaniu zmianą i transformacji kulturowej zespołu. Praktyczne, udokumentowane wykorzystanie AI w co najmniej kilku obszarach SDLC/QA. Mile widziane: Doświadczenie w sektorze telekomunikacyjnym , bankowym lub e-commerce oraz w budowie Quality Engineering CoE. Wiedza i umiejętności techniczne: Automatyzacja Testów: Głęboka znajomość piramidy testów i frameworków (np. Selenium/Playwright, REST-assured), znajomość REST/GraphQL i testów kontraktowych. CI/CD & DevOps: Doświadczenie we współpracy z zespołami CI/CD, rozumienie pipeline'ów (np. GitLab CI, GitHub Actions) i strategii trunk-based development. Doświadczenie w wykorzystaniu LLM poprzez API; podstawy prompt engineering. Praktyki Inżynierskie: Znajomość TDD/BDD, code review, monitoringu i observability. Kompetencje przywódcze i personalne: Zdolność do budowania standardów technologicznych i modelu operacyjnego od podstaw. Wybitne umiejętności komunikacyjne i zdolność do inspirowania zespołu oraz przekonywania interesariuszy. Wizjonerskie myślenie połączone z pragmatycznym podejściem do realizacji celów. Oferujemy: Stabilne zatrudnienie w oparciu o umowę o pracę Pracę w modelu hybrydowym (2 dni z biura / 3 dni z domu) Program emerytalny – po 6 miesiącach pracy, Orange co miesiąc dołoży 7% Twojej pensji brutto na Twoje konto emerytalne Prywatną opiekę medyczną w PZU Zdrowie Pożyczki bez oprocentowania na cele mieszkaniowe, zdrowotne i inne Dofinasowanie do wypoczynku Kartę sportową FitProfit Wydarzenia integracyjne i wyjazdy współfinansowane z funduszu socjalnego Możliwość dołączenia do ubezpieczenia grupowego na preferencyjnych warunkach Smartfon z nielimitowanym Internetem – również do użytku prywatnego Preferencyjną ofertę na usługi Orange Zróżnicowane i dopasowane do potrzeb możliwości rozwoju – szkolenia, dostęp do platform edukacyjnych (w tym platformy do nauki języków obcych), program staży wewnętrznych i inspirujące wydarzenia edukacyjne „Zdrowie na TAK” - program dla osób z niepełnosprawnościami „Jestem w grze” – wsparcie dla rodziców powracających do pracy po urlopach rodzicielskich Programy wellbeingowe Wolontariat we współpracy z Fundacją Orange

🏢 Summary: The Manager, Quality Systems leads and continuously improves the Quality Management System for a medical device company, ensuring compliance with FDA, ISO 13485, EU MDR, CHAP, and DME requirements. The role oversees document control, CAPA, nonconformance, audits, training, and regulatory activities while serving as deputy management representative during inspections. This position drives audit readiness, regulatory compliance, and cross-functional quality initiatives in a regulated manufacturing environment. 🗂️ Requirements: 5+ years Quality Assurance experience in medical device industry, 2+ years people management experience, Knowledge of ISO 13485, Knowledge of 21 CFR Part 820, Knowledge of FDA Quality System Regulations, Knowledge of EU MDR requirements, Experience in regulated manufacturing environments, Experience with eQMS systems, Experience with PLM systems, Experience managing CAPA and nonconformance processes, Experience conducting internal and external audits, Experience working with regulatory agencies (FDA, BSI, CHAP), Ability to manage DME compliance requirements 📃 Skills: ISO13485, 21CFR820, FDA, EUMDR, eQMS, PLM, CAPA, Audit, Nonconformance, DME, CHAP, BSI 🏢 Description: Element Science, Inc. is a medical device and digital health company redefining how patients with heart disease are monitored and treated as they transition from the hospital to the home. Our mission is to improve outcomes for patients at risk of life-threatening cardiac events through innovative solutions at the intersection of clinical-grade wearables, advanced algorithms, and therapy delivery. We are entering an exciting phase of growth as we move from development into early commercialization. Our approach combines hardware, software, and services to deliver a more personalized and seamless patient experience—designed with both patients and clinicians in mind. Our product, a wearable patch defibrillator, is designed for patients with a temporary elevated risk of sudden cardiac arrest, addressing a significant and underserved population of over 500,000 patients in the U.S. By focusing on comfort, usability, and clinical effectiveness, we aim to transform the standard of care during this critical period. SUMMARY OF ROLE: The Manager, Quality Systems is responsible for day-to-day operation and continuous improvement of the Quality System. The role is responsible for Document Control, Training Program, Change Control, Internal & External Audit Program, Management Review, Nonconformance management and CAPA management. The Manager, Quality Systems serves as deputy management representative representing the organization in internal and external audits. This role serves as co-system administrator for eQMS and works with cross functional stakeholders ensuring the organization continues to maintain CHAP accreditation and compliance with DME requirements including managing external DME audits, maintaining quality documentation and ensuring adherence to regulatory standards. This role supports EU MDR deliverables in collaboration with external regulatory consultants. This role plays a key part in sustaining a compliant, audit-ready QMS that upholds patient safety and organizational integrity. RESPONSIBILITIES: - Lead, mentor, and develop Quality Systems team members, fostering a culture of quality, accountability, collaboration, and continuous improvement - Partner cross-functionally to investigate quality issues, interpret data trends, and drive timely, risk-based decisions - Build and maintain strong working relationships with internal stakeholders, external auditors, and regulatory partners - Own and maintain the Document Control system, ensuring controlled documents remain accurate, current, compliant, and properly version-controlled - Administer and continuously enhance the company training program, ensuring timely completion, training effectiveness, and maintenance of compliant training records - Own the CAPA program, including driving timely resolution of aging CAPAs, ensuring robust root cause investigations, and monitoring closure effectiveness and metrics - Manage Nonconformance (NC) processes from initiation through final disposition and closure, ensuring timely and compliant execution - Lead Management Review activities, including development of quality metrics, trend analysis, and executive-ready Quality Management Review (QMR) materials - Monitor, analyze, and trend quality system metrics to proactively identify systemic risks, drive corrective actions, and support continuous improvement initiatives - Support post-market surveillance activities, including maintenance of associated documentation and reporting requirements - Support EU MDR compliance activities in partnership with external regulatory consultants, including CERs, PSURs, and PMS deliverables - Maintain quality documentation and records necessary to support BSI certification activities and ongoing CE mark compliance - Own and execute the Internal Audit Program, including audit planning, scheduling, execution, findings management, and verification of corrective action closure - Coordinate CHAP accreditation activities and ongoing DME compliance requirements, including preparation for and management of external audits - Partner with external auditors and regulatory agencies to support inspections, audits, and compliance readiness activities - Ensure the Quality Management System remains compliant with FDA, ISO 13485, CHAP, EU MDR, and other applicable regulatory and quality standards - Support system validation activities, process improvements, and ongoing enhancements to quality systems and tools as needed QUALIFICATIONS: - 5+ years of progressive Quality Assurance experience within the medical device industry, including experience in regulated manufacturing environments - 2+ years of people leadership or management experience, with demonstrated ability to lead and develop high-performing teams - Strong working knowledge of ISO 13485, 21 CFR Part 820, FDA Quality System Regulations, and EU MDR requirements - Hands-on experience utilizing eQMS and PLM systems to support quality and compliance initiatives - Ability to interpret, implement, and adapt to evolving regulatory requirements, including DME quality system standards - Solid understanding of core quality processes, including CAPA, nonconformance management, complaint handling, change control, and internal auditing - Experience partnering with external auditors and regulatory agencies, including BSI, FDA, CHAP, or equivalent organizations - Demonstrated ability to manage multiple priorities and drive execution in a fast-paced, evolving environment - Strong analytical and problem-solving skills, with the ability to identify trends, summarize findings, and communicate recommendations to leadership BENEFITS: Element Science offers a very competitive salary and benefits package including, but not limited to: - Stock Options - 90% employer-paid medical, dental, and vision insurance - Company-paid Basic Life Insurance - 401(k) retirement plan (Traditional and Roth) - Competitive Paid Time Off - Paid Holidays - FSA (Flexible Spending Accounts) - HSA (Health Savings Account) - Employee Assistance Program through PEO The salary for this exempt-level position will be based on experience and qualifications within an established pay range. Pay range: $144,000 - $154,000 Element Science is an Equal Opportunity Employer. All candidates will be evaluated on the basis of their qualifications for the job in question. We do not base our employment decision on non-merit-based factors prohibited by law. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. We are not able to sponsor individuals for employment visas for this job. At this time, we are unable to offer relocation assistance.