Customer Engineer, AI Solutions

🏢 Summary: Entrepreneurial Customer & Community Growth Manager role focused on building and scaling customer communities, advocacy programs, and engagement initiatives across fintech and AI healthcare products. The position drives product adoption, retention, and revenue growth by leading lifecycle communications, customer councils, and cross-functional growth strategies. Ideal for a builder experienced in customer marketing and community development within high-growth technology environments. 🗂️ Requirements: 5+ years in Customer Marketing, Community, Customer Success, Product Marketing, Partnerships, Growth, or similar customer-facing roles, Experience building customer communities or advocacy programs from scratch, Strong knowledge of customer lifecycle marketing, engagement, retention, and expansion strategies, Experience measuring customer engagement and business outcomes, Project management and cross-functional collaboration experience, Experience supporting SMB and mid-market customers, Ability to analyze customer behavior and optimize engagement strategies, Comfort working in fast-paced, high-growth environments 📃 Skills: Analytics, SaaS, Fintech, AI, Marketing, Lifecycle, Engagement, CRM, ProjectManagement, Community, DataAnalysis 🏢 Description: Who we are: Nitra's mission is to build a more efficient healthcare system and the technology that makes it possible. Our goal is to provide an ecosystem of fintech and software solutions that help doctors better manage their practices, so they can have time back to focus on what matters to them most. We operate with urgency, intensity, and ambition. The bar is high because the opportunity is massive. We expect excellence, ownership, and intellectual rigor from every team member. We move fast, make bold decisions, and hold ourselves accountable to results. At the same time, we believe great companies are built on trust and respect. Every voice matters. Every contribution counts. When we win, we win together. We are scaling rapidly and on a clear trajectory toward becoming a unicorn this year — and beyond. Our growth is the result of disciplined execution, relentless focus, and a team that refuses to settle. We are building a category-defining company and looking for people who want to do meaningful work. Nitra maintains a hybrid work policy, with team members working from the office four days per week and Wednesdays designated as a work-from-home day. What we're looking for: We are looking for a highly entrepreneurial and customer-obsessed Customer & Community Growth Manager to build and scale the engagement engine behind Nitra's customer ecosystem. This role sits at the intersection of Marketing, Customer Success, Product, Partnerships, and Revenue, and is responsible for increasing customer engagement, advocacy, adoption, and expansion across Nitra's fintech, marketplace, and AI software products. As we continue to scale, we're building the largest community of independent healthcare practice owners in the country. You will launch customer communities, develop advocacy programs, lead customer communications, and create educational content that strengthens relationships while driving measurable business growth. Your responsibilities will include: - Build and scale customer communities across specialty-specific and role-specific groups. - Launch and manage online communities, forums, networking groups, regional chapters, customer councils, summits, and events. - Develop initiatives that increase adoption and cross-product usage across fintech, marketplace, and AI software offerings. - Own customer advocacy programs including ambassadors, referral programs, testimonials, case studies, and reference programs. - Lead customer communications including newsletters, lifecycle campaigns, product announcements, webinars, and onboarding initiatives. - Create thought leadership content including podcasts, benchmark reports, industry research, surveys, and insights. - Build and manage Customer Advisory Boards and Physician Councils to gather feedback and influence product strategy. - Partner with Customer Success, Product, Marketing, Partnerships, and Sales teams to deliver exceptional customer experiences. - Measure engagement and optimize programs using data to improve adoption, retention, and expansion. - Analyze customer behavior to develop scalable engagement strategies that increase retention and revenue growth. You have: - 5+ years of experience in Customer Marketing, Community, Customer Success, Product Marketing, Partnerships, Growth, or similar roles. - Experience building customer communities or advocacy programs from scratch. - Strong understanding of customer lifecycle marketing, engagement, retention, and expansion strategies. - Excellent communication and relationship-building skills. - Strong project management and cross-functional collaboration skills. - Strong analytical mindset with experience measuring customer engagement and business outcomes. - Experience supporting SMB and mid-market customers. - Experience in healthcare, fintech, SaaS, marketplaces, or vertical software is a plus. - Experience in VC-backed Series B-D technology companies is preferred. What we offer: - Equity. - Competitive salary. - Comprehensive health, vision, and dental insurance. - 401K employer match. - Hybrid work policy with four in-office days and one work-from-home day per week.

🏢 Summary: Forward Deployment Engineer role focused on embedding with clients to scope, build, and ship production-ready AI systems while contributing reusable assets to an internal AI platform. The position combines client delivery, pre-sales, and hands-on development, with ownership from discovery through production. It requires strong consulting capabilities and deep expertise in AI system design and deployment. 🗂️ Requirements: 5+ years of professional experience in software engineering, 3+ years hands-on experience building and shipping AI-assisted systems, 2+ years in client-facing consulting or pre-sales engineering role, End-to-end ownership: discovery, scoping, build, production, handoff, Experience running discovery workshops and gathering requirements, Ability to translate business needs into technical scope, Experience designing and deploying AI systems to production, Experience integrating with client systems and SaaS platforms, Experience with cloud deployment and security reviews, Fluency in Polish (B2+) and English (B2+) 📃 Skills: Python, TypeScript, LLMs, Claude, GPT, RAG, MCP, REST, iPaaS, CRM, BI, Cloud 🏢 Description: Description Our mission at Netguru is to help entrepreneurs and innovators shape the world through beautiful software. We care about trust, taking ownership, and transparency. As a Certified B Corporation®, we offer a safe, inclusive, and productive environment for all team members, and we’re always open to feedback. If you want to work from home and be a full-time employee, great! We want to create the right opportunities for you. Over the past ten years, Netguru has changed the way people bank, listen to music, learn languages, and rent bicycles. Some of their clients include Fortune 500 companies and startups like or . Netguru works with the largest brands in the world, such as , or . As the Forward Deployment Engineer you will sit at the intersection of client delivery, pre-sales, and internal AI tooling. You embed with a client (or an internal Netguru team), translate ambiguous problems into a defensible technical scope, and ship working AI systems to production - fast. Half of your time goes back into Netguru: every reusable pattern you spot in the field becomes a skill, agent, or MCP inside NetguruOS. This is a builder role, not an advisory one. Proof of work is a running system - not a deck. Salary: from 20000PLN net on B2B contract + 20 paid days off or from 16700PLN gross on Contract of Employment What you'll do: Client engagements: Embed temporarily into the team that owns the problem — client engineering org or internal Netguru team. Run discovery with stakeholders from CTO down to end-user. Run workshops, uncover requirements, clarify business needs, and translate ambiguous pain into a written technical scope you can defend. Analyze customer processes, identify bottlenecks, and propose digital or AI-driven improvements. Lead pre-sales on AI opportunities — scope, price, propose, close. Act as a trusted advisor, challenging assumptions and recommending better technical, product, or process approaches when appropriate. Communicate effectively with both technical and non-technical stakeholders, translating complex AI and engineering concepts into clear business language. Work comfortably within client environments, adapting to their tools, security requirements, workflows, governance models, and decision-making structures. Take ownership of outcomes, ensuring solutions deliver measurable business value, adoption, and long-term impact. Build Prototype in days, not weeks — working software, not slides. Write production-grade Python or TypeScript (or whatever the client runs). Ship AI-enabled workflows: copilots, agents, RAG systems, automation, internal tooling. Integrate with the client's existing stack. Design solutions that are not only technically sound but also usable, reliable, and aligned with real user workflows. Stand up evals, observability, and guardrails before going live. Own the path to production: security review, procurement, change management. Identify opportunities where AI can improve processes, reduce manual effort, accelerate decision-making, or create new product capabilities. Build internally (≈50% of the role) Extend Netguru's internal AI platform with new agents, MCPs, and skills based on field learnings Build enablement tooling for internal AI delivery teams — templates, runbooks, reusable skills Codify reusable client patterns back into NetguruOS Requirements Experience 5+ years total, including 3+ years hands-on building and shipping AI-assisted systems. 2+ years in a client-facing consulting or pre-sales engineering role. Proven full-cycle ownership: discovery → scoping → build → production → handoff. Comfortable with both technical and business stakeholders in the same engagement. Strong understanding of business processes and the ability to translate operational challenges into practical software and AI solutions. Experience gathering requirements, facilitating discovery workshops, and transforming ambiguous business problems into actionable implementation plans. Understanding of AI adoption challenges, including data readiness, user trust, governance, compliance, change management, and operational integration. Communicative (B2+) Polish and English. Technical Production-grade Python and/or TypeScript — shipped systems, not scripts. LLM stack fluency (Claude, GPT, open-weight) — knows when to use which and why. AI system design: agents, RAG pipelines, copilots, MCP servers, sub-agents. Eval-driven development — defines success metrics before shipping, measures after. Integration experience: REST APIs, iPaaS, common SaaS (CRM, PM, BI). Cloud deployment, security reviews, change management. Consulting & communication Strong customer-facing mindset with the ability to understand stakeholder needs and translate them into practical software solutions. Translates ambiguous client pain into written technical scope — and defends it. Credible with a CEO and an engineer on the same day. Proposal writing and deal scoping for AI engagements. Senior stakeholder management without hand-holding. Ability to communicate AI concepts, architecture decisions, risks, trade-offs, and implementation options to non-technical audiences. Solution-oriented consulting approach focused on delivering business outcomes rather than simply implementing requested features. Mindset Builder by default — running system over recommendation deck. Stack-agnostic — picks the right tool, not the favorite one. Walks into chaos, imposes structure, delivers clarity. Ships in days, not weeks. Thinks beyond delivery and takes responsibility for customer adoption, feedback, iteration, and measurable business impact. Nice to have: Domain experience in Finance, Retail, or Supply Chain Public presence - conference talks, open-source, published writing on AI SDLC orchestration and multi-agent pipelines What success looks like (first 6–12 months) First AI engagement scoped, built, and delivered to production At least one reusable asset (agent skill, MCP, eval suite) shipped into NetguruOS Measurable time savings from internal tooling contributions Benefits Access to the WorkSmile platform offering benefits adapted to your preferences: Multisport card. Private health insurance package. Life insurance. Hundreds of other options to choose from 15 categories (shopping, leisure, travel, food, etc.). Discounts on Apple products. Support for your growth - a head/manager’s budget available to every employee. PLN 175 monthly lump sum (ryczałt) for remote employees (Contract of Employment) Various internal initiatives: webinars, knowledge-sharing sessions, . Don't hesitate and apply right away! At Netguru, we're committed to creating an inclusive environment for everyone. If you require any disability-related accommodations during the recruitment process, please let us know. We're here to help!

🏢 Summary: Remote customer-facing role focused on driving value and outcomes for healthcare organizations using AI imaging solutions. Acts as a trusted advisor to physicians and medical centers, bridging customers with product, data, and engineering teams to enhance adoption and impact. Involves data analysis, stakeholder management, and cross-functional collaboration to demonstrate measurable clinical and operational value. 🗂️ Requirements: BSc in science, engineering, or quantitative field, 4+ years in Customer Success, customer-facing analytics, Project Management, or similar roles, Experience working in SaaS high-tech or startup environment, Stakeholder management and executive-level relationship building, Strong analytical and data-driven decision-making skills, Ability to understand technical concepts and collaborate with technical teams, Excellent verbal and written communication skills in English, Ability to work in PST time zones, Ability to travel up to 25% 📃 Skills: SaaS, Analytics, AI, MedicalImaging, Radiology, ProjectManagement, StakeholderManagement, DataAnalysis, Research, English 🏢 Description: About this role This position focuses on championing customer-centric solutions and outcomes. You will work closely with engineering, operations, sales, and support teams to understand customers, enhance the value they get from the solutions, and demonstrate organizational impact. You will develop a strong understanding of customers' business objectives and articulate how AI enterprise solutions support their strategic goals. This is a remote role to be filled in the Western US. Responsibilities Serve as the customer's advocate and trusted advisor: - Proactively manage and grow customer relationships, identifying key stakeholders. - Lead discussions with top physicians in leading medical centers. - Understand customer pain points and workflows and enhance the value of AI in their departments. - Define next steps and collaborate with R&D teams to drive execution. Serve as the liaison between customers and internal teams: - Ensure smooth onboarding of new customers with the technical team. - Drive product enhancements and collaborate cross-functionally with Product, Data, and AI teams, representing the customer perspective. - Maintain a deep understanding of the solutions, expected performance, and user interface. Drive value demonstration: - Perform data analysis and present insights to customers. - Initiate and support research initiatives. Requirements - BSc in science, engineering, or any quantitative field (MSc preferred). - 4+ years of experience in Customer Success, customer-facing analytics, Project Management, or similar roles. - Experience in a SaaS high-tech or startup environment is an advantage. - Experience with data analytics is an advantage. - Experience working with medical imaging and radiologists is an advantage. - Research experience is an advantage. - Experience in stakeholder management and executive-level relationship building. - Ability to multitask, problem-solve, and work cross-functionally in a dynamic environment. - Strong analytical thinking and data-driven decision-making. - Ability to understand technical concepts and collaborate with technical teams. - Excellent verbal and written communication skills in English. - Ability to work in PST time zones. - Ability to travel up to 25%. What We Offer - Medical, dental, and vision benefits. - Stock options for full-time employees. - Flexible time off without accrual limits, coordinated with manager and team. - 401(k) plan with company match, life insurance, and long- and short-term disability coverage. - Opportunity to directly improve medical care and patient outcomes.

🏢 Summary: Engineering Manager role leading a client-facing team responsible for delivery and site operations of a financial services web platform, with a strong focus on AI-augmented workflows and engineering excellence. The position combines technical leadership, SRE practices, and modernization of development processes through automation and AI tooling. This is a hybrid role requiring collaboration with cross-functional teams and direct client engagement. 🗂️ Requirements: 3+ years of engineering management experience, Experience managing and mentoring software engineers, Proficiency in JavaScript/TypeScript, HTML/CSS, React, Node.js, Understanding of web application architecture (client-server, RESTful services, microservices), Experience with code reviews and testing strategies (unit, integration, end-to-end), Experience with Agile/Scrum methodologies, Familiarity with CI/CD pipelines and deployment tooling, Experience with AI-assisted development tools, Familiarity with agentic workflows or automation frameworks, Understanding of web analytics tools, Familiarity with SQL and NoSQL databases, Knowledge of WCAG accessibility standards, Familiarity with SOC2 processes and controls, Understanding of OWASP guidelines and data protection regulations 📃 Skills: JavaScript, TypeScript, HTML, CSS, React, Node.js, REST, Microservices, CI/CD, Harness, GitHub, GitHubActions, Copilot, Cursor, Claude, SQL, NoSQL, GoogleAnalytics, Mixpanel, WCAG, SOC2, OWASP, GDPR, CCPA, Agile, Scrum 🏢 Description: This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our South Charlotte, NC or New York, NY office (Tuesday through Thursday) and optional remote days on Mondays and Fridays each week. Red Ventures Growth and Transformation partners with financial institutions to build digital products, customer platforms, and marketing technology solutions that drive acquisition, deepening, and retention. Red Ventures is looking for a technically strong, growth-minded Engineering Manager to lead a client-facing engineering team within our Banking Client Services organization. You’ll own the engineering delivery and site operations for a financial services’ web presence, leading a small team today with a clear path to growth as the client partnership expands. What sets this role apart: you’ll operate at the intersection of client-facing engineering leadership and modern AI-augmented workflows. Our teams are actively integrating agentic tooling and automation into how we code, manage tickets, maintain compliance, and solve problems alongside our business and data science partners. We’re looking for someone who is energized by this shift and ready to lead a team through it. This role reports to the Director of Engineering and will serve as the technical lead on client engagements when needed, with the Director’s support. The ideal candidate has strong communication instincts and the desire to grow into an increasingly senior client-facing leadership role over time. Travel to partner locations is an expected component of this role to support relationship management and business objectives. Curious how Growth and Transformation fits into Red Ventures? Click here. What You’ll Do: Team & Client Leadership Lead a team of software engineers responsible for the engineering delivery and site operations of a financial services web platform. Serve as the technical lead on client calls and escalations, communicating complex technical topics clearly to both technical and non-technical stakeholders. Collaborate with designers, customer experience leads, business stakeholders, and leadership to deliver high-quality solutions that strengthen client trust. Position engineers for success through coaching, mentorship, regular feedback, and personal development planning. AI & Process Modernization Champion the adoption and effective use of agentic workflows and AI-assisted tooling for coding, ticket management, compliance, and engineering process improvement. Leverage internally-built automation and AI tooling to increase team efficiency, reduce manual toil, and improve delivery quality. Partner with business and data science teams to identify and implement AI-driven solutions to operational and client-facing problems. Stay current with emerging AI/ML tooling for software development (IDE integrations, CLI agents, code review automation) and evaluate their fit for the team. Site Operations & Engineering Excellence Drive SRE best practices: observability, incident response, reliability, and operational maturity for client-facing web properties. Improve engineering processes, CI/CD pipelines, code quality, and testing practices across the team. Demonstrate project and roadmap planning skills, balancing client commitments with operational health and team investment. What We’re Looking For: Leadership & Communication Experience managing and mentoring software engineers, including coaching, delivering feedback, and supporting career growth. Strong verbal and written communication skills with the ability to translate technical concepts for non-technical audiences, including client stakeholders. Skills in managing team dynamics, navigating conflict constructively, and building a collaborative, psychologically safe environment. Experience collaborating across functions: design, marketing, data science, and business partners to align on priorities and deliver outcomes. Comfort operating as a technical lead on client-facing calls and escalations with leadership support. 3+ years of engineering management experience Software Engineering Proficiency in web development languages and frameworks (e.g., JavaScript/TypeScript, HTML/CSS, React, Node.js). Understanding of web application architecture: client-server models, RESTful services, and microservices. Strong emphasis on code quality: code reviews, testing strategies (unit, integration, end-to-end), and engineering best practices. Experience with Agile/Scrum methodologies and managing delivery through sprints and iterative planning. Familiarity with CI/CD pipelines and deployment tooling (e.g., Harness, GitHub Actions). AI Fluency & Automation Mindset Demonstrated comfort with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude, or similar IDE/CLI integrations). Familiarity with agentic workflows or automation frameworks used to streamline engineering, compliance, or operational processes. A proactive mindset toward identifying opportunities to apply AI and automation to reduce toil and improve outcomes. Willingness to experiment, evaluate new tooling, and lead a team through adoption of emerging AI capabilities. Data, Accessibility & Security Understanding of web analytics tools (e.g., Google Analytics, Mixpanel) and the ability to use data to inform engineering decisions. Familiarity with databases (SQL and NoSQL) and their integration with web applications. Knowledge of WCAG accessibility standards and experience implementing accessibility testing practices. Familiarity with process and controls required in SOC2 operations. Demonstrated experience leading in SOC2 environments preferred. Understanding of web security principles (OWASP guidelines) and data handling regulations (e.g., GDPR, CCPA), particularly important in a financial services context. Compensation: This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications. Total Cash Compensation Range Charlotte, NC Hybrid Compensation Range: $130,000 - $210,000 per year New York, NY Hybrid Compensation Range: $162,500- $262,500 per year Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service. Who We Are: Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram. At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. If you are based in California, we encourage you to read this important information for California residents linked here. #LI-KS1 #LI-HYBRIDClick here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

🏢 Summary: Forward Deployment Engineer role focused on embedding with clients to scope, build, and ship production-ready AI systems. The position combines hands-on development, pre-sales, and consulting, delivering AI-enabled workflows and integrating them into existing stacks. Half of the role involves building reusable AI agents and tools for the internal AI platform based on client engagements. 🗂️ Requirements: 5+ years total experience in software engineering, 3+ years hands-on experience building and shipping AI-assisted systems, 2+ years in client-facing consulting or pre-sales engineering, Full-cycle ownership from discovery to production and handoff, Production-grade experience with Python and/or TypeScript, Experience designing AI systems (agents, RAG, copilots, MCP), Experience with REST APIs and SaaS integrations, Experience with cloud deployment and security reviews, Ability to define and implement evaluation metrics for AI systems, Fluent communication in Polish and English (B2+) 📃 Skills: Python, TypeScript, LLM, Claude, GPT, RAG, MCP, REST, API, iPaaS, SaaS, Cloud, CRM, BI 🏢 Description: Description Our mission at Netguru is to help entrepreneurs and innovators shape the world through beautiful software. We care about trust, taking ownership, and transparency. As a Certified B Corporation®, we offer a safe, inclusive, and productive environment for all team members, and we’re always open to feedback. If you want to work from home and be a full-time employee, great! We want to create the right opportunities for you. Over the past ten years, Netguru has changed the way people bank, listen to music, learn languages, and rent bicycles. Some of their clients include Fortune 500 companies and startups like or . Netguru works with the largest brands in the world, such as , or . As the Forward Deployment Engineer you will sit at the intersection of client delivery, pre-sales, and internal AI tooling. You embed with a client (or an internal Netguru team), translate ambiguous problems into a defensible technical scope, and ship working AI systems to production - fast. Half of your time goes back into Netguru: every reusable pattern you spot in the field becomes a skill, agent, or MCP inside NetguruOS. This is a builder role, not an advisory one. Proof of work is a running system - not a deck. Salary: from 22000PLN net on B2B contract + 20 paid days off or from 18000PLN gross on Contract of Employment What you'll do: Client engagements Embed temporarily into the team that owns the problem - client engineering org or internal Netguru team Run discovery with stakeholders from CTO down to end-user Translate ambiguous pain into a written technical scope you can defend Lead pre-sales on AI opportunities - scope, price, propose, close Build Prototype in days, not weeks - working software, not slides Write production-grade Python or TypeScript (or whatever the client runs) Ship AI-enabled workflows: copilots, agents, RAG systems, automation, internal tooling Integrate with the client's existing stack Stand up evals, observability, and guardrails before going live Own the path to production: security review, procurement, change management Build internally (≈50% of the role) Extend Netguru's internal AI platform with new agents, MCPs, and skills based on field learnings Build enablement tooling for internal AI delivery teams — templates, runbooks, reusable skills Codify reusable client patterns back into NetguruOS Requirements Experience 5+ years total, including 3+ years hands-on building and shipping AI-assisted systems 2+ years in a client-facing consulting or pre-sales engineering role Proven full-cycle ownership: discovery → scoping → build → production → handoff Comfortable with both technical and business stakeholders in the same engagement Communicative (B2+) Polish and English. Technical Production-grade Python and/or TypeScript - shipped systems, not scripts LLM stack fluency (Claude, GPT, open-weight) - knows when to use which and why AI system design: agents, RAG pipelines, copilots, MCP servers, sub-agents Eval-driven development - defines success metrics before shipping, measures after Integration experience: REST APIs, iPaaS, common SaaS (CRM, PM, BI) Cloud deployment, security reviews, change management Consulting & communication Translates ambiguous client pain into written technical scope - and defends it Credible with a CEO and an engineer on the same day Proposal writing and deal scoping for AI engagements Senior stakeholder management without hand-holding Mindset Builder by default - running system over recommendation deck Stack-agnostic - picks the right tool, not the favorite one Walks into chaos, imposes structure, delivers clarity Ships in days, not weeks Nice to have: Domain experience in Finance, Retail, or Supply Chain Public presence - conference talks, open-source, published writing on AI SDLC orchestration and multi-agent pipelines What success looks like (first 6–12 months) First AI engagement scoped, built, and delivered to production At least one reusable asset (agent skill, MCP, eval suite) shipped into NetguruOS Measurable time savings from internal tooling contributions Benefits Access to the WorkSmile platform offering benefits adapted to your preferences: Multisport card. Private health insurance package. Life insurance. Hundreds of other options to choose from 15 categories (shopping, leisure, travel, food, etc.). Discounts on Apple products. Support for your growth - a head/manager’s budget available to every employee. PLN 175 monthly lump sum (ryczałt) for remote employees (Contract of Employment) Various internal initiatives: webinars, knowledge-sharing sessions, . Don't hesitate and apply right away! At Netguru, we're committed to creating an inclusive environment for everyone. If you require any disability-related accommodations during the recruitment process, please let us know. We're here to help!

🏢 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 Software Engineer role focused on designing and building AI-powered backend systems that automate healthcare operations while supporting human workflows. The position involves hands-on system architecture, workflow orchestration, distributed systems, and AI process automation in a regulated environment. Remote-first work with required overlap with US Central Time. 🗂️ Requirements: 6+ years of experience building and maintaining production software systems, Strong experience designing and owning complex backend systems, Strong backend engineering skills, Experience with asynchronous, event-driven, or workflow-based distributed systems, Ability to work with 4–5 hour daily overlap with US team, Experience with AI or LLM-based systems and process automation, Strong spoken and written English communication skills, Ability to solve unclear problems with incomplete information, Self-motivated with strong ownership and responsibility 📃 Skills: TypeScript, Node.js, AI, LLM, Claude, Backend, APIs, HIPAA 🏢 Description: Please Note: Overlap with Central US Time required (until 20-21:00 CEST) We are a health technology company that helps older people and their families apply for important eldercare benefits, including Medicaid, Medicare, and VA programs. We work with healthcare, government systems, and people’s daily lives, so accuracy, reliability, and trust are very important. As the number of patients grows from hundreds to thousands, manual work is no longer enough. We are building AI-powered systems to automate routine tasks while keeping people involved for quality checks, difficult cases, and patient safety. Our goal is to make healthcare operations more scalable without losing the human connection. The Role We are looking for a Senior Software Engineer to lead the design and development of systems that combine AI automation with human workflows. This is an important role close to the core business. It is a fully hands-on position with no management duties or direct reports. You will not only build features, but also design systems, define best practices, and guide technical decisions as we grow. You should feel comfortable solving unclear problems, working closely with operations and product teams, and making smart decisions in a regulated environment. This role is a good fit for someone who enjoys system design, building reliable infrastructure, and taking ownership of their work. What You’ll Work On Designing workflow and orchestration systems for complex operations. Creating AI automations that handle routine tasks safely and send difficult cases to humans. Building systems where AI supports human work before, during, and after tasks. Managing long-running workflows that can last days or weeks. Connecting with external systems such as EVV platforms, insurers, government portals, and older messaging tools. Designing confidence scoring, auditing, and rollback systems for AI processes. Improving system reliability, monitoring, and error handling in production. Responsibilities Lead the technical design and development of scalable backend systems. Make and document architecture decisions with clear trade-offs. Create patterns for collaboration between AI systems and human workers. Work closely with operations teams to understand real-world issues and edge cases. Make sure systems are observable, auditable, and safe to run at scale. Identify technical risks early and suggest solutions. Maintain high standards for code quality, testing, and system design. Share knowledge and help improve the team’s technical standards through reviews and collaboration. What We’re Looking For Required 6+ years of experience building and maintaining production software systems. Strong experience designing and owning complex backend systems. Strong backend engineering skills (we use TypeScript and Node.js, but other languages are welcome). Experience with asynchronous, event-driven, or workflow-based distributed systems. Ability to work with a daily 4–5 hour overlap with the US team (until 20:00 or 21:00 Polish time). Comfortable working with unclear problems and incomplete information. Strong spoken and written English communication skills. Self-motivated with a strong sense of ownership and responsibility. Experience working with AI or LLM-based systems and process automation, such as using Anthropic’s API (Claude) or similar tools in business workflows. Nice to Have Experience in healthtech or other regulated industries. Knowledge of HIPAA and healthcare data privacy and security rules. Experience building systems with strict compliance or audit requirements. Experience with human review workflows. Experience integrating with unstable or legacy third-party APIs. Master’s or PhD in Computer Science, Engineering, or a related field. How We Work Remote-first company. Small, experienced teams with high trust and independence. Strong focus on system accuracy, reliability, and long-term maintenance. Practical and thoughtful use of AI, both for internal development and within our product. Direct connection to real users and operational impact.

🏢 Summary: Senior Software Engineer role focused on designing and building scalable backend systems that combine AI automation with human workflows in a regulated healthtech environment. The position involves hands-on system design, workflow orchestration, and development of reliable, auditable AI-powered processes integrated with external platforms. The engineer will lead technical decisions and ensure production-grade reliability, safety, and scalability. 🗂️ Requirements: 6+ years building and maintaining production software systems, Strong experience designing and owning complex backend systems, Strong backend engineering experience, Experience with asynchronous or event-driven distributed systems, Experience with workflow-based systems, Experience integrating AI or LLM-based systems into business workflows, Ability to design scalable, reliable, and auditable systems, Experience working with external or legacy APIs, Ability to overlap 4–5 hours with US time zone, Strong English communication skills 📃 Skills: TypeScript, Node.js, AI, LLM, Anthropic, Claude, APIs, DistributedSystems, EventDriven, Workflows, Backend, Architecture, Monitoring, Testing 🏢 Description: Please Note: Overlap with Central US Time required (until 20-21:00 CEST) We are a health technology company that helps older people and their families apply for important eldercare benefits, including Medicaid, Medicare, and VA programs. We work with healthcare, government systems, and people’s daily lives, so accuracy, reliability, and trust are very important. As the number of patients grows from hundreds to thousands, manual work is no longer enough. We are building AI-powered systems to automate routine tasks while keeping people involved for quality checks, difficult cases, and patient safety. Our goal is to make healthcare operations more scalable without losing the human connection. The Role We are looking for a Senior Software Engineer to lead the design and development of systems that combine AI automation with human workflows. This is an important role close to the core business. It is a fully hands-on position with no management duties or direct reports. You will not only build features, but also design systems, define best practices, and guide technical decisions as we grow. You should feel comfortable solving unclear problems, working closely with operations and product teams, and making smart decisions in a regulated environment. This role is a good fit for someone who enjoys system design, building reliable infrastructure, and taking ownership of their work. What You’ll Work On Designing workflow and orchestration systems for complex operations. Creating AI automations that handle routine tasks safely and send difficult cases to humans. Building systems where AI supports human work before, during, and after tasks. Managing long-running workflows that can last days or weeks. Connecting with external systems such as EVV platforms, insurers, government portals, and older messaging tools. Designing confidence scoring, auditing, and rollback systems for AI processes. Improving system reliability, monitoring, and error handling in production. Responsibilities Lead the technical design and development of scalable backend systems. Make and document architecture decisions with clear trade-offs. Create patterns for collaboration between AI systems and human workers. Work closely with operations teams to understand real-world issues and edge cases. Make sure systems are observable, auditable, and safe to run at scale. Identify technical risks early and suggest solutions. Maintain high standards for code quality, testing, and system design. Share knowledge and help improve the team’s technical standards through reviews and collaboration. What We’re Looking For Required 6+ years of experience building and maintaining production software systems. Strong experience designing and owning complex backend systems. Strong backend engineering skills (we use TypeScript and Node.js, but other languages are welcome). Experience with asynchronous, event-driven, or workflow-based distributed systems. Ability to work with a daily 4–5 hour overlap with the US team (until 20:00 or 21:00 Polish time). Comfortable working with unclear problems and incomplete information. Strong spoken and written English communication skills. Self-motivated with a strong sense of ownership and responsibility. Experience working with AI or LLM-based systems and process automation, such as using Anthropic’s API (Claude) or similar tools in business workflows. Nice to Have Experience in healthtech or other regulated industries. Knowledge of HIPAA and healthcare data privacy and security rules. Experience building systems with strict compliance or audit requirements. Experience with human review workflows. Experience integrating with unstable or legacy third-party APIs. Master’s or PhD in Computer Science, Engineering, or a related field. How We Work Remote-first company. Small, experienced teams with high trust and independence. Strong focus on system accuracy, reliability, and long-term maintenance. Practical and thoughtful use of AI, both for internal development and within our product. Direct connection to real users and operational impact.