Chief Technology Officer

🏢 Summary: Backend role focused on developing and scaling a medical platform (web, mobile, e-commerce) while leading AI adoption and agentic coding workflows within the engineering team. The position combines hands-on Node.js/TypeScript development with designing and implementing AI-driven development processes and integrating ML solutions into production systems. Strong emphasis on backend architecture, AI tooling, and automation to support a modern healthcare system. 🗂️ Requirements: Minimum 3 years of commercial experience, Strong knowledge of TypeScript, Strong knowledge of Node.js, Experience with relational databases, Experience with PostgreSQL, Practical experience with agentic coding workflows, Experience using AI tools in software development, Prompt engineering skills, Ability to design and implement backend systems, Experience integrating AI/ML solutions into applications 📃 Skills: Node.js, TypeScript, PostgreSQL, GraphQL, NestJS, React, NextJS, TailwindCSS, ReactNative, Python, Kubernetes, GCP, GKE, DDD, AI, LLM, PromptEngineering 🏢 Description: Wyobraź sobie świat, w którym wykrywamy i leczymy choroby, zanim staną się zagrożeniem dla zdrowia. Jutro Medical to dynamicznie rozwijający się operator medyczny, rewolucjonizujący oblicze polskiej ochrony zdrowia poprzez technologię. Obecnie prowadzimy 23 kliniki w 12 miastach Polski, głównie w obszarze podstawowej opieki zdrowotnej (POZ), w których pacjenci bezpłatnie w ramach ubezpieczenia NFZ mogą odbyć wizytę lekarską oraz wykonać konieczne badania. Opiekujemy się już ponad 140 tysiącami pacjentów. Wartości te jednak szybko rosną, ponieważ co miesiąc dołączają do nas nowi pacjenci – zarówno organicznie, jak i poprzez przejęcia klinik, co skokowo zwiększa skalę działalności grupy. Jutro Medical to też innowacyjna technologia – autorski system do sprawnego prowadzenia leczenia opracowany wspólnie z lekarzami. Jego składowe to: backend systemu medycznego – skrywa tajniki systemu obsługi pacjentów, aplikacja mobilna – dzięki której możesz z dowolnego miejsca porozmawiać z zespołem medycznym, aplikacja webowa dla personelu medycznego – lekarzy, pielęgniarek i asystentów medycznych – automatyzująca formalności, a co za tym idzie, znacznie skracająca czas oraz ilość ich pracy. Koncentrując się na uwolnieniu czasu pracy personelu medycznego, sprawiamy, że mogą oni przeznaczyć go na leczenie i profilaktykę swoich Pacjentów, sklep e-commerce – w którym oferujemy pakiety badań profilaktycznych, przygotowane do stylu życia naszych pacjentów, po których od razu umawiamy się na konsultację, by omówić wyniki. Wychodzimy z założenia, że dbanie o zdrowie powinno być proste i każdy problem zasługuje na poważne traktowanie, rozwiązania AI, nad którymi pracujemy , aby wspierać lekarzy w ich codziennej pracy. Celem budowania rozwiązań AI w JM jest wzmocnienie modelu "przychodni przyszłości", w której lekarz maksymalnie dużo czasu poświęca na diagnozowanie i leczenie, a technologia w tle usuwa tarcia, papierologię i chaos organizacyjny. AI nie zastępuje lekarza, ale podnosi jakość jego decyzji i odciąża go z pracy administracyjnej. Ale AI u nas to nie tylko produkt – to sposób, w jaki budujemy oprogramowanie. Aktywnie wdrażamy agentic coding workflows, narzędzia AI-assisted development i szukamy osoby, która poprowadzi ten kierunek w zespole backendowym. Tech stack: Back-End: Node.js, TypeScript, PostgreSQL, GraphQL, NestJS, DDD Front-End: React, TypeScript, NextJS, GraphQL, TailwindCSS Mobile: React Native Data Science / AI: Python Infrastruktura: Kubernetes, GCP AI Tooling: Claude Code, Cursor, Copilot - i wszystko co działa Jakie zadania na Ciebie czekają: rozwój i utrzymanie backendu dla aplikacji medycznej dedykowanej lekarzom i pielęgniarkom, aplikacji mobilnej przeznaczonej pacjentowi oraz sklepu e-commerce integrującego się z naszym systemem, bycie liderem adopcji AI w codziennej pracy zespołu – wprowadzanie nowych narzędzi, budowanie workflow'ów, edukowanie kolegów z zespołu, projektowanie i wdrażanie agentic coding workflows – automatyzacja code review, generowanie testów, scaffolding, migracje, współpraca z zespołem ML i wdrażanie rozwiązań AI do systemu, aktywny udział w dyskusjach z zespołem produktowym, ML i innymi zespołami wewnętrznymi, aby zrozumieć potrzeby biznesowe i techniczne, projektowanie nowych rozwiązań w formie Proof of Concept. Co musisz mieć ze sobą: minimum 3 lata doświadczenia komercyjnego (mid lub senior – liczy się drive, nie tytuł), bardzo dobrą znajomość TypeScript i Node.js, doświadczenie bazodanowe, preferujemy PostgreSQL, realne doświadczenie z agentic coding – nie chodzi o to, że "próbowałeś Copilota", ale że aktywnie używasz narzędzi AI do budowania oprogramowania i masz na to konkretne przykłady, doświadczenie z prompt engineeringiem w kontekście developerskim – umiesz skutecznie promptować modele AI i wiesz, jak iterować nad promptami, żeby uzyskać pożądany output, umiejętność i chęć bycia liderem zmiany – będziesz osobą, która ciągnie zespół w kierunku efektywniejszej pracy z AI. Jeszcze lepiej jak: masz doświadczenie z ewaluacją jakości outputów AI – budujesz benchmarki, piszesz eval suite'y, mierzysz czy Twoje agentic workflows faktycznie działają, a nie tylko "wyglądają ok", budowałeś własne agenty lub pipeline'y LLM-owe – nie tylko używasz gotowych narzędzi, ale rozumiesz jak je komponować i rozszerzać, umiesz pracować z GraphQL API, pracowałeś z k8s (używamy GKE), masz rozeznanie w tematyce planowania architektury większych systemów oraz łączenia mikroserwisów, masz doświadczenie w pracy z danymi. Spodoba Ci się u nas jeśli: ekscytujesz się tym, jak AI zmienia sposób tworzenia oprogramowania i chcesz być na froncie tej zmiany, lubisz brać odpowiedzialność za duże projekty i entuzjastycznie podchodzisz do wyzwań, rozumiesz podejście startupowe, gdzie sprawnie testujemy różne hipotezy i wybieramy te najlepsze, komunikacja i otwarty dialog są z Tobą na Ty, a oprócz tego lubisz jasny i precyzyjny przekaz, chcesz, żeby Twoja praca miała realny wpływ na zdrowie setek tysięcy osób. Co gwarantujemy: wynagrodzenie: PLN 16 500 - PLN 25 000 netto (B2B), możliwość udziału w programie opcyjnym (ESOP) – czyli możesz zostać współwłaścicielem Jutro Medical, elastyczne godziny pracy – możesz zacząć i skończyć swoją pracę o dowolnej porze, hybrydowy model pracy, nasze biuro znajduje się w budynku Atrium Centrum (przy al. Jana Pawła II 27 w Warszawie), nielimitowaną, pełnopłatną przerwę w świadczeniu usług, dofinansowanie do karty Multisport, pełnopłatne urlopy chorobowe (100%), konsultacje medyczne z pierwszej ręki :), dodatkowy budżet na badania profilaktyczne, budżet na narzędzia AI i subskrypcje – dajemy Ci to, czego potrzebujesz do pracy, kulturę pracy opartą na otwartej komunikacji, ciągłym usprawnianiu współpracy w zespole, indywidualnym podejściu do rozwoju, no dress code policy i nieformalną atmosferę pracy, dedykowany budżet na rozwój oraz nielimitowany dostęp do platform edukacyjnych, liczne okazje do wspólnego spędzania czasu w ramach integracji zespołowych i ogólnofirmowych.

🏢 Summary: Development role focused on building and scaling a medical platform (backend, mobile app, e-commerce) with strong emphasis on AI-assisted and agentic coding workflows. The position combines backend engineering in a Node.js/TypeScript environment with active adoption of AI tools and collaboration with ML teams. The goal is to automate development processes and integrate AI solutions into a healthcare system used by doctors and patients. 🗂️ Requirements: Minimum 3 years of commercial experience, Very good knowledge of TypeScript, Very good knowledge of Node.js, Experience with relational databases, Experience with PostgreSQL, Practical experience with agentic coding workflows, Hands-on use of AI tools in software development, Experience in prompt engineering for development tasks, Ability to design and implement AI-driven development workflows 📃 Skills: Node.js, TypeScript, PostgreSQL, GraphQL, NestJS, React, NextJS, ReactNative, Python, Kubernetes, GCP, Claude, Cursor, Copilot, DDD, TailwindCSS 🏢 Description: Wyobraź sobie świat, w którym wykrywamy i leczymy choroby zanim staną się zagrożeniem dla zdrowia. Jutro Medical to dynamicznie rozwijający się operator medyczny, rewolucjonizujący oblicze polskiej ochrony zdrowia poprzez technologię. Obecnie prowadzimy 29 kliniki w 17 miastach Polski, głównie w obszarze podstawowej opieki zdrowotnej (POZ), w których pacjenci bezpłatnie w ramach ubezpieczenia NFZ mogą odbyć wizytę lekarską oraz wykonać konieczne badania. Opiekujemy się już ponad 160 tysiącami pacjentów. Wartości te jednak szybko rosną, ponieważ co miesiąc dołączają do nas nowi pacjenci – zarówno organicznie, jak i poprzez przejęcia klinik, co skokowo zwiększa skalę działalności grupy. Jutro Medical to też innowacyjna technologia – autorski system do sprawnego prowadzenia leczenia opracowany wspólnie z lekarzami. Jego składowe to: - backend systemu medycznego – skrywa tajniki systemu obsługi pacjentów, - aplikacja mobilna – dzięki której możesz z dowolnego miejsca porozmawiać z zespołem medycznym, - aplikacja webowa dla personelu medycznego – lekarzy, pielęgniarek i asystentów medycznych – automatyzująca formalności, a co za tym idzie, znacznie skracająca czas oraz ilość ich pracy. Koncentrując się na uwolnieniu czasu pracy personelu medycznego, sprawiamy, że mogą oni przeznaczyć go na leczenie i profilaktykę swoich Pacjentów, - sklep e-commerce – w którym oferujemy pakiety badań profilaktycznych, przygotowane do stylu życia naszych pacjentów, po których od razu umawiamy się na konsultację, by omówić wyniki. Wychodzimy z założenia, że dbanie o zdrowie powinno być proste i każdy problem zasługuje na poważne traktowanie, - rozwiązania AI, nad którymi pracujemy , aby wspierać lekarzy w codziennej pracy. Celem budowania rozwiązań AI w JM jest wzmocnienie modelu "przychodni przyszłości", w którym lekarz poświęca jak najwięcej czasu na diagnozowanie i leczenie, a technologia w tle usuwa tarcia, papierologię i chaos organizacyjny. AI nie zastępuje lekarza, ale podnosi jakość jego decyzji i odciąża go z pracy administracyjnej. Ale AI u nas to nie tylko produkt – to sposób, w jaki budujemy oprogramowanie. Aktywnie wdrażamy agentic coding workflows, narzędzia AI-assisted development i szukamy osoby, która swobodnie będzie działać w tym kierunku. Tech stack: - Back-End: Node.js, TypeScript, PostgreSQL, GraphQL, NestJS, DDD - Front-End: React, TypeScript, NextJS, GraphQL, TailwindCSS - Mobile: React Native - Data Science / AI: Python - Infrastruktura: Kubernetes, GCP - AI Tooling: Claude Code, Cursor, Copilot - i wszystko co działa Jakie zadania na Ciebie czekają: praca nad rozwojem i utrzymaniem backendu dla aplikacji medycznej dedykowanej lekarzom i pielęgniarkom, aplikacji mobilnej przeznaczonej pacjentowi oraz sklepu e-commerce integrującego się z naszym systemem, bycie członkiem adopcji AI w codziennej pracy zespołu – wprowadzanie nowych narzędzi, budowanie workflow'ów, projektowanie i wdrażanie agentic coding workflows – automatyzacja code review, generowanie testów, scaffolding, migracje, współpraca z zespołem ML i wdrażanie rozwiązań AI do systemu, aktywny udział w dyskusjach z zespołem produktowym, ML i innymi zespołami wewnętrznymi, aby zrozumieć potrzeby biznesowe i techniczne, praca przy projektowaniu nowych rozwiązań w formie Proof of Concept. Co musisz mieć ze sobą: minimum 3 lata doświadczenia komercyjnego, bardzo dobrą znajomość TypeScript i Node.js, doświadczenie bazodanowe, preferujemy PostgreSQL, realne doświadczenie z agentic coding – nie chodzi o to, że "próbowałeś Copilota", ale że aktywnie używasz narzędzi AI do budowania oprogramowania i masz na to konkretne przykłady, doświadczenie z prompt engineeringiem w kontekście developerskim – umiesz skutecznie promptować modele AI i wiesz, jak iterować nad promptami, żeby uzyskać pożądany output, umiejętność i chęć bycia liderem zmiany – będziesz osobą, która ciągnie zespół w kierunku efektywniejszej pracy z AI. Jeszcze lepiej jak: masz doświadczenie z ewaluacją jakości outputów AI – budujesz benchmarki, piszesz eval suite'y, mierzysz czy Twoje agentic workflows faktycznie działają, a nie tylko "wyglądają ok", budowałeś własne agenty lub pipeline'y LLM-owe – nie tylko używasz gotowych narzędzi, ale rozumiesz jak je komponować i rozszerzać, umiesz pracować z GraphQL API, pracowałeś z k8s (używamy GKE), masz rozeznanie w tematyce planowania architektury większych systemów oraz łączenia mikroserwisów, masz doświadczenie w pracy z danymi. Spodoba Ci się u nas jeśli: ekscytujesz się tym, jak AI zmienia sposób tworzenia oprogramowania i chcesz być na froncie tej zmiany, lubisz brać odpowiedzialność za duże projekty i entuzjastycznie podchodzisz do wyzwań, rozumiesz podejście startupowe, gdzie sprawnie testujemy różne hipotezy i wybieramy te najlepsze, komunikacja i otwarty dialog są z Tobą na Ty, a oprócz tego lubisz jasny i precyzyjny przekaz, chcesz, żeby Twoja praca miała realny wpływ na zdrowie setek tysięcy osób. Co gwarantujemy? wynagrodzenie: PLN 15 000 - PLN 25 000 netto (B2B), możliwość udziału w programie opcyjnym (ESOP) – czyli możesz zostać współwłaścicielem Jutro Medical, elastyczne godziny pracy – możesz zacząć i skończyć swoją pracę o dowolnej porze, hybrydowy model pracy, nasze biuro znajduje się w budynku Atrium Centrum (przy al. Jana Pawła II 27 w Warszawie), nielimitowaną, pełnopłatną przerwę w świadczeniu usług, dofinansowanie do karty Multisport, pełnopłatne urlopy chorobowe (100%), konsultacje medyczne z pierwszej ręki :), dodatkowy budżet na badania profilaktyczne, budżet na narzędzia AI i subskrypcje – dajemy Ci to, czego potrzebujesz do pracy, kulturę pracy opartą na otwartej komunikacji, ciągłym usprawnianiu współpracy w zespole, indywidualnym podejściu do rozwoju, no dress code policy i nieformalną atmosferę pracy, dedykowany budżet na rozwój oraz nielimitowany dostęp do platform edukacyjnych, liczne okazje do wspólnego spędzania czasu w ramach integracji zespołowych i ogólnofirmowych.

🏢 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 data engineering role focused on building healthcare and clinical research data infrastructure, including pipelines, data models, and AI-enabled systems that support analytics, machine learning, and predictive capabilities. The position involves owning data quality, governance, and architecture decisions while collaborating with ML and engineering teams in a fast-moving environment. 🗂️ Requirements: 10+ years of data engineering experience, Experience with healthcare data, Expertise in integrating heterogeneous data sources, Experience applying AI and LLMs to data engineering, Understanding of ML data infrastructure workflows, Strong SQL skills, Proficiency in Python or Java or Scala or Go, Experience with distributed processing and streaming systems, Experience with cloud-native storage and orchestration frameworks, Experience building data systems from early stages 📃 Skills: SQL, Python, Java, Scala, Go, HL7, FHIR, EHR, AI, LLM, ML, Streaming, Cloud, Orchestration 🏢 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. About the Role 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. That means designing technology systems that bring order to a fragmented landscape of clinical data sources, automating the operational work that slows trials down, and turning real-world clinical data into a foundation for predictive intelligence. We're building a uniquely valuable data asset: real-world patient and research data flowing across 80+ trial sites, spanning dozens of EHRs and clinical systems, focused on patient populations that are chronically underserved by existing clinical research infrastructure. Your job is to build the pipelines, data models, and AI infrastructure that make this asset real, from ingestion and normalization through to the systems that power predictions on top of it. You'll own data quality and observability as foundational engineering problems. You'll also have a direct hand in shaping how this data drives our AI strategy, what we model, what we predict, and what becomes possible. This is an opportunity for someone who wants to be part of a small, fast-moving engineering team at a formative stage. You'll shape what gets built, how decisions get made, and what the team becomes. Responsibilities - Own the data layer and architecture: the models, schemas, and infrastructure decisions that everything downstream depends on - Build and operate the pipelines and transformations that move data from ingestion through normalization, enrichment, and into the formats that support analytics, ML training, and production model serving - Own data quality and observability: build the systems that make data issues visible and correctable before they compound - Partner with ML and engineering teams to identify what's modelable, define training data requirements, and build the data foundations for new predictive capabilities - Define how clinical and operational data is governed across the system - Evaluate and select the tools and technologies that make up the data stack, with a clear point of view on build vs. buy - Help shape the engineering culture of a small, growing team: how technical decisions get made, how problems get debated, what rigor looks like in practice What We're Looking For Required Qualifications - 10+ years of experience in data engineering or related roles, with significant time spent building data systems - Experience with healthcare data strongly preferred (HL7, FHIR, claims, EHR extracts) or other complex, regulated data domains - Deep experience modeling and integrating data from multiple heterogeneous sources with inconsistent schemas and quality - Experience applying AI and LLMs to data engineering problems: extraction, normalization, classification, entity resolution - Strong understanding of how data infrastructure supports ML workflows from feature engineering to training data pipelines to model serving - Fluent in SQL and at least one modern programming language (Python, Java, Scala, Go), with experience across modern data infrastructure - distributed processing, streaming, cloud-native storage, orchestration, and transformation frameworks - Have built data systems from early stages, making foundational decisions with incomplete information - Naturally raise the quality of the engineering around you through code review, design guidance, and honest technical conversation Preferred Qualifications - Experience building data infrastructure that directly supports ML model training and evaluation - Familiarity with clinical trial operations, EDC systems, or life sciences data - SOC 2, HIPAA or similar compliance experience baked into engineering practice - A track record of building or improving data systems that others had given up on making reliable New York pay range: $200,000—$325,000 USD

🏢 Summary: Staff Data Scientist role focused on building predictive capabilities for clinical research using healthcare, clinical trial, and medical data. The position involves hands-on experimentation, machine learning strategy, and collaboration with product and engineering teams to improve clinical trial efficiency. The role offers the opportunity to shape data science and ML practices within a fast-growing healthcare technology environment. 🗂️ Requirements: 5+ years of experience in data science, applied ML, or quantitative research, Experience with healthcare data, clinical research, or life sciences, Strong experience designing and running experiments, Strong statistical foundations, Proficiency in Python, Proficiency in SQL, Experience working with complex real-world data, Knowledge of ML frameworks and capabilities, Ability to collaborate across data science, product, and engineering, Ability to communicate findings to technical and non-technical audiences 📃 Skills: Python, SQL, MachineLearning, Statistics, DataScience, Healthcare, ClinicalResearch, LifeSciences, DataPipelines, Experimentation, Modeling, Analytics 🏢 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. About the Role 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. That means designing technology systems that bring order to a fragmented landscape of clinical data sources, automating the operational work that slows trials down, and turning real-world clinical data into a foundation for predictive intelligence. We're looking for a Staff Data Scientist to be the person who understands our data deeply enough to know what's possible and curious enough to prove it. We have a truly unique data set within the industry, connecting clinical data (emr, endoscopic video, etc…) to trial data across 80+ trial sites. We're looking for someone who wants to dig deeply into this data - to understand its structure, its gaps, what it can tell us - and connect that understanding to real outcomes for sites and patients. The landscape is evolving rapidly, and the right person will have a point of view on how to apply new capabilities to our specific data and problems as they emerge.You'll work hands-on with the data, structure experiments, evaluate what's modelable, and directly influence what we build and how. This role sits at the intersection of data science, product strategy, and ML: you'll lay the foundation for our predictive capabilities and shape what that function becomes. This is an opportunity for someone who wants to be part of a small, fast-moving engineering team at a formative stage. You'll shape what gets built, how decisions get made, and what the team becomes. Responsibilities Work with clinical, video, and clinical trial operational data to understand what's there, what's meaningful, and how we can use it to drive a more efficient clinical trial system Design and run experiments that determine what's worth building Stay close to the evolving ML and model landscape and bring a point of view on how new capabilities apply to our data and problems Define the path from raw data to product and operationalization: what to model, how to evaluate it, and when it's ready to ship Partner with product and engineering to translate findings into concrete product decisions Identify opportunities where our data creates unique predictive advantages Evaluate where we should build, where we should partner, and where existing approaches fall short Help shape the engineering culture of a small, growing team: how technical decisions get made, how problems get debated, what rigor looks like in practice What We're Looking For Required Qualifications 5+ years of experience in data science, applied ML, or quantitative research, with significant time spent hands-on with data Experience with healthcare data, clinical research, or life sciences A deep curiosity to understand data and connect it to the real world Deep experience designing and running experiments: you know how to structure a question, test it honestly, and draw conclusions that hold up Strong statistical foundations and the judgment to know when a result is meaningful versus interesting Fluent in Python and SQL, comfortable working across the data stack from exploratory analysis through to production-ready pipelines Experience working across data science, product, and engineering: you can influence what gets built, not just analyze what exists Have worked with complex, messy, real-world data and know how to make it useful without pretending it's clean Knowledgeable about ML capabilities and frameworks, with the judgment to know when something is genuinely applicable versus hype Can communicate findings clearly to technical and non-technical audiences, and make a persuasive case for what to build next Preferred Qualifications Experience working at growth stage startups (strongly preferred) Experience with medical imaging or video data Familiarity with clinical trial operations, disease classification, or patient identification problems Experience building or defining the roadmap for an ML function from early stages A track record of data science work that directly changed product direction New York pay range$200,000—$325,000 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: Lead and build the company's cybersecurity program from the ground up, securing cloud infrastructure, identity management, incident response, and compliance processes in a fast-growing healthcare technology environment. The role focuses on AWS security, governance, risk management, and cross-functional collaboration to establish scalable security practices. Candidates should bring strong hands-on cybersecurity expertise with healthcare compliance and cloud security experience. 🗂️ Requirements: Bachelor's degree in IT, engineering, mathematics, or related field or equivalent cybersecurity certifications, 5+ years of experience in cybersecurity, security engineering, cloud security, IT security, or related role, Strong knowledge of HIPAA, HITECH, SOC 2, and HITRUST frameworks, Hands-on experience with AWS, Microsoft 365, and Google Workspace security tooling, Experience with Bitdefender, Microsoft Defender, Intune, Entra ID, Microsoft Purview, Google Workspace security, Okta, or SIEM/logging tools, Experience with PowerShell, Python, APIs, or security workflow automation, Experience with vulnerability management and penetration test remediation, Strong documentation and policy writing skills, Ability to communicate effectively with non-technical stakeholders 📃 Skills: AWS, Okta, EntraID, Microsoft365, GoogleWorkspace, Bitdefender, Defender, Intune, Purview, SIEM, PowerShell, Python, APIs, HIPAA, HITECH, SOC2, HITRUST, GDPR, RBAC, IAM, SharePoint, Box 🏢 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. As Iterative Health's first dedicated cybersecurity hire, you won't be stepping into an existing security program—you'll be building it. This is a rare opportunity to establish and lead the company's cybersecurity strategy, creating the foundation that will protect our people, technology, data, and business as we continue to scale. In this role, you'll own the end-to-end security landscape, including our AWS cloud infrastructure, identity and access management, SaaS ecosystem, endpoint security, sensitive clinical and patient data, and the security and compliance frameworks that support our business. You'll work cross-functionally with IT, Engineering, Compliance, Legal, and business leaders to strengthen our security posture, reduce organizational risk, and embed security into every aspect of the company. We're looking for a hands-on security leader who combines deep technical expertise with strong business judgment and a builder's mindset. You'll be equally comfortable architecting security solutions, responding to evolving threats, developing policies and controls, and influencing stakeholders across the organization. This is an opportunity to create a scalable, modern security program that grows alongside a fast-paced healthcare technology company. Where You'll Drive Impact Security Program Development Serve as Iterative Health's first dedicated cybersecurity resource — build, mature, and operate the company's security program from the ground up. Identify security gaps, prioritize remediation, and partner with the IT Director to define security priorities, roadmap items, and risk reduction plans. Develop, maintain, and enforce security policies, standards, procedures, runbooks, and control documentation. Provide company-wide subject matter expertise and support related to cybersecurity awareness and compliance. Cloud & Infrastructure Security Work with engineering team to secure and monitor AWS environments, including IAM, logging, encryption, backups, access controls, and overall cloud security posture. Configure firewalls, encryption, and access controls across cloud and corporate infrastructure. Improve security controls across Okta, Entra ID, Microsoft 365, Google Workspace, Box, SharePoint, AWS, and other cloud platforms. Identity & Access Governance Maintain and improve RBAC, access reviews, privileged access controls, admin role governance, service account oversight, and joiner/mover/leaver security processes. Incident Response Own incident response for suspected cyberattacks, account compromise, malware, data exposure, unauthorized access, and other security events. Lead incident investigation, containment, remediation, documentation, root-cause analysis, and post-incident improvement tracking. Compliance & Risk Management Own security evidence collection, control documentation, remediation tracking, and audit support for SOC 2, HIPAA/HITECH, and applicable GDPR requirements. Own all vendor assessment and security questionnaire responses. Support vulnerability management, penetration testing, social engineering testing, customer security reviews, vendor security questionnaires, third-party risk assessments, security awareness, and user education. Performs related duties as requested What You Bring to the Team Bachelor's degree in IT, engineering, mathematics, or a related field; candidates with extensive cybersecurity certification in lieu of a degree will be considered. 5+ years of experience in cybersecurity, security engineering, cloud security, IT security, or a related technical security role. Strong working knowledge of HIPAA, HITECH, SOC 2, and HITRUST frameworks. Hands-on experience with AWS, Microsoft 365, and Google Workspace security tooling. Experience with Bitdefender, Microsoft Defender, Intune, Entra ID, Microsoft Purview, Google Workspace security, Okta, or SIEM/logging tools. Strong documentation skills, including policy and procedure writing. Ability to communicate effectively with non-technical business partners. Experience with PowerShell, Python, APIs, or security workflow automation. Experience with vulnerability management, penetration test remediation, phishing simulation programs, or third-party risk reviews. Preferred Qualifications Knowledge of EU General Data Protection Regulation (GDPR). One or more relevant certifications, including but not limited to: CompTIA Security+, CySA+, or Pen Test+; GCIH; ISC2 CCSP; AWS Certified Security Specialty (SCS-C03); Microsoft SC-200, SC-300, SC-401, SC-100, or SC-900; Google Cybersecurity Professional or Cloud Cybersecurity Certificate. Experience building or maturing a security program in a high-growth or startup environment. Background in healthcare technology, clinical research, or other highly regulated industries. How We Work Collaborative and low-ego team environment High ownership and accountability culture Fast-paced and highly iterative growth environment Open communication and continuous learning mindset Mission-driven organization focused on improving patient outcomes Comfortable navigating evolving business priorities and opportunities 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'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: Lead and build a cybersecurity program from the ground up for a healthcare technology company, overseeing cloud security, identity governance, incident response, compliance, and risk management. The role focuses on securing AWS infrastructure, SaaS platforms, and sensitive clinical data while driving security strategy across the organization. 🗂️ Requirements: Bachelor's degree in IT, engineering, mathematics, or related field or equivalent cybersecurity certifications, 5+ years of experience in cybersecurity, security engineering, cloud security, or IT security, Strong knowledge of HIPAA, HITECH, SOC 2, and HITRUST frameworks, Hands-on experience with AWS, Microsoft 365, and Google Workspace security tooling, Experience with Bitdefender, Microsoft Defender, Intune, Entra ID, Microsoft Purview, Okta, or SIEM/logging tools, Experience with PowerShell, Python, APIs, or security workflow automation, Experience with vulnerability management and penetration test remediation, Strong documentation and policy writing skills, Ability to communicate with non-technical stakeholders 📃 Skills: AWS, IAM, Okta, Entra, Microsoft365, GoogleWorkspace, Box, SharePoint, Bitdefender, Defender, Intune, Purview, SIEM, PowerShell, Python, API, HIPAA, HITECH, SOC2, HITRUST, GDPR 🏢 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. As Iterative Health's first dedicated cybersecurity hire, you won't be stepping into an existing security program—you'll be building it. This is a rare opportunity to establish and lead the company's cybersecurity strategy, creating the foundation that will protect our people, technology, data, and business as we continue to scale. In this role, you'll own the end-to-end security landscape, including our AWS cloud infrastructure, identity and access management, SaaS ecosystem, endpoint security, sensitive clinical and patient data, and the security and compliance frameworks that support our business. You'll work cross-functionally with IT, Engineering, Compliance, Legal, and business leaders to strengthen our security posture, reduce organizational risk, and embed security into every aspect of the company. We're looking for a hands-on security leader who combines deep technical expertise with strong business judgment and a builder's mindset. You'll be equally comfortable architecting security solutions, responding to evolving threats, developing policies and controls, and influencing stakeholders across the organization. This is an opportunity to create a scalable, modern security program that grows alongside a fast-paced healthcare technology company. Where You'll Drive Impact Security Program Development Serve as Iterative Health's first dedicated cybersecurity resource — build, mature, and operate the company's security program from the ground up. Identify security gaps, prioritize remediation, and partner with the IT Director to define security priorities, roadmap items, and risk reduction plans. Develop, maintain, and enforce security policies, standards, procedures, runbooks, and control documentation. Provide company-wide subject matter expertise and support related to cybersecurity awareness and compliance. Cloud & Infrastructure Security Work with engineering team to secure and monitor AWS environments, including IAM, logging, encryption, backups, access controls, and overall cloud security posture. Configure firewalls, encryption, and access controls across cloud and corporate infrastructure. Improve security controls across Okta, Entra ID, Microsoft 365, Google Workspace, Box, SharePoint, AWS, and other cloud platforms. Identity & Access Governance Maintain and improve RBAC, access reviews, privileged access controls, admin role governance, service account oversight, and joiner/mover/leaver security processes. Incident Response Own incident response for suspected cyberattacks, account compromise, malware, data exposure, unauthorized access, and other security events. Lead incident investigation, containment, remediation, documentation, root-cause analysis, and post-incident improvement tracking. Compliance & Risk Management Own security evidence collection, control documentation, remediation tracking, and audit support for SOC 2, HIPAA/HITECH, and applicable GDPR requirements. Own all vendor assessment and security questionnaire responses. Support vulnerability management, penetration testing, social engineering testing, customer security reviews, vendor security questionnaires, third-party risk assessments, security awareness, and user education. Performs related duties as requested What You Bring to the Team Bachelor's degree in IT, engineering, mathematics, or a related field; candidates with extensive cybersecurity certification in lieu of a degree will be considered. 5+ years of experience in cybersecurity, security engineering, cloud security, IT security, or a related technical security role. Strong working knowledge of HIPAA, HITECH, SOC 2, and HITRUST frameworks. Hands-on experience with AWS, Microsoft 365, and Google Workspace security tooling. Experience with Bitdefender, Microsoft Defender, Intune, Entra ID, Microsoft Purview, Google Workspace security, Okta, or SIEM/logging tools. Strong documentation skills, including policy and procedure writing. Ability to communicate effectively with non-technical business partners. Experience with PowerShell, Python, APIs, or security workflow automation. Experience with vulnerability management, penetration test remediation, phishing simulation programs, or third-party risk reviews. Preferred Qualifications Knowledge of EU General Data Protection Regulation (GDPR). One or more relevant certifications, including but not limited to: CompTIA Security+, CySA+, or Pen Test+; GCIH; ISC2 CCSP; AWS Certified Security Specialty (SCS-C03); Microsoft SC-200, SC-300, SC-401, SC-100, or SC-900; Google Cybersecurity Professional or Cloud Cybersecurity Certificate. Experience building or maturing a security program in a high-growth or startup environment. Background in healthcare technology, clinical research, or other highly regulated industries. How We Work Collaborative and low-ego team environment High ownership and accountability culture Fast-paced and highly iterative growth environment Open communication and continuous learning mindset Mission-driven organization focused on improving patient outcomes Comfortable navigating evolving business priorities and opportunities 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'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: Project Manager role focused on leading web and mobile software projects for international healthcare clients, managing small development teams and delivering digital products from concept to launch. The position involves budget control, client communication, and product-oriented project execution in a collaborative environment. 🗂️ Requirements: Minimum 2 years experience as Project Manager in IT, Experience in software house environment, Experience managing web applications, Experience managing mobile applications, Experience managing small teams (up to 6-8 members), Experience with Jira, Experience managing project budgets, Fluent English (C1), Fluent Polish (C1), Ability to create project specifications and valuations 📃 Skills: Jira, Web, Mobile, Budgeting, English, Polish, ProjectManagement 🏢 Description: About Momentum: At Momentum, we accelerate digital innovation in healthcare. Our mission is to empower HealthTech startups and scaleups by transforming ideas into cutting-edge digital products. We combine deep industry expertise, strategic consulting, and full-stack development to create solutions that drive growth, compliance, and patient impact. We believe in technology that makes healthcare more accessible, efficient, and human-centered. Role overview: ​​Let’s work on interesting projects for clients around the world, managing teams of talented software engineers! At Momentum, we follow a collaborative, impact-driven approach to building digital health solutions. We aim to create a world where no one feels helpless because of a lack of medical information or diagnostics access. Every day, we work towards making people feel more empowered and safe regarding their health. Requirements: At least 2 years of experience in an IT company as Project Manager, Preferred experience in a software house, Product-focused mindset: understanding products; ability to identify product needs and supporting product growth, Fluent English (C1), Fluent Polish (C1), Strong sense of responsibility and independence, Experience with Jira, Experience in managing web and mobile applications, Good organization and prioritization skills, Experience in managing small teams (up to 6-8 team members), Ability to negotiate with clients and developers, Creative problem solving (in projects and in communication with a client), Ability to gather customer feedback and readiness to communicate it to developers, Experience in managing budgets, Ability to make decisions and work under time pressure. Responsibilities: Leading projects for clients around the world (building products from scratch and developing existing ones), Supervising work on mobile and web applications, Contacting and maintaining relations with both sides: clients and developers, Creating specifications and valuations of projects, Negotiating with clients and developers, Creating reports and settlements, keeping all kinds of documents in order, Controlling projects’ budgets, keeping track of deadlines and estimating delivery time, Taking care of developers in a project, as well as planning and managing your team work, Advising the client (business solutions or recommending the appropriate approach to the project). What We Value: Clarity in focus and dedication to building digital products that elevate healthcare and improve quality of life. Flair to face challenges with boldness, creativity, and a proactive mindset. Grit to take ownership, stay ambitious, and deliver refined, high-quality solutions. Impact through meaningful innovation that makes pioneering medical discoveries accessible and human-centered. Ability to collaborate efficiently in teams of technical and non-technical individuals, and comfortable working in a dynamic environment with evolving objectives and iteration with users. What we offer: Open Source Contribution: We don’t just talk about Open Source, we live it. You’ll have the dedicated time and space to contribute to global projects and build your own legacy. Modern Workspace: We provide a modern and comfortable office environment, right in the heart of Wrocław. Work-Life Harmony: Enjoy flexible working hours, allowing you to find the perfect balance between work and life. Stay Active: Our company Multisport benefit encourages you to stay fit and take care of your well-being. Your Health Matters: Access to private healthcare ensures you're taken care of when you need it most. Remote Support: For our remote team members we offer reimbursement for necessary and the non-necessary office visits. Freedom of choice: We understand that we all have different lifestyles and needs, that's why the Worksmile Cafeteria System gives you access to hundreds of non-wage benefits to choose from. Security and peace of mind: We provide the option to join our comprehensive insurance plan, for your and your loved one’s security. Team Building & Development Fun(d): We believe in the power of fun and development, and microfunds are here to bring some excitement into your work-life or you can access them to develop your skills and gain knowledge. Thinking of applying? Awesome! Here’s what happens next: As a standard, we keep our recruitment processes short and to the point. Here is a detailed breakdown of the workflow for this position: Initial phone interview (30 min): We'll have a quick chat to get to know each other and discuss your experience. It's a great opportunity for us both to see if there's a good fit. Interview with your future manager (60 min): Next, you'll meet with your potential manager to dive deeper into your professional experience, discuss your approach to project management, and talk about our team and company. Case study with a mini-workshop (45 min): We'll send you a brief from a fictional client beforehand. Your task will be to analyze it, and then, during the meeting, clarify the necessary details by leading a mini-workshop with the "client." This is your chance to show us how you approach a real-world challenge. Meeting with the CEO (15 min): If you successfully pass the previous stages, we will invite you to meet with our CEO. This is a unique chance to hear firsthand about the company's vision, mission, and long-term goals, and to ask questions about the direction we are heading Decision and feedback: After all the stages are complete, we'll get back to you with our final decision and detailed feedback on your application. If you have any questions, get in touch with us!