Product Manager
About us
Thesis Care is building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.
We’re based in NYC, are growing rapidly, and are backed by significant venture funding from leading healthtech investors.
About the role
We’re looking for a Product Manager to own the day-to-day product engine behind our core agents. You’ll turn a noisy stream of client needs and ideas into a sharp, prioritized backlog, keep two engineering teams shipping in rhythm, and help scope the new capabilities that push the platform forward.
This is a hands-on, high-ownership role for a structured thinker who is as comfortable in a client conversation as in an engineering tradeoff discussion, often in the same hour. You won’t have formal authority over the teams you coordinate, so influence, clarity, and judgment are the job. Prior product-title experience matters less to us than raw reasoning ability, technical fluency, and the instinct to ask what a client actually needs versus what they asked for.
Responsibilities
- Own the backlog for Core products: Hold a coherent, prioritized picture across both product areas, ranking work against impact, effort, and dependencies, and spotting where the two teams’ work collides or overlaps before it becomes a problem.
- Write specs engineers can build from: Produce crisp requirements and acceptance criteria that engineers don’t have to reverse-engineer, so work moves from idea to build without a translation tax.
- Ship meaningful products: Run the engine that turns the backlog into shipped software. Own the sprint cadence across both teams, clear blockers before they stall anyone, keep a live read on what's actually shipping versus what's stuck, and autonomously make decisions based on our business goals.
- Drive scoping for new capabilities: Help shape what we build next and why. Pressure-test ideas against our long-term ambitions, reason about feasibility and tradeoffs with engineering, and frame scope so a first version proves the right thing before we commit to building the whole thing.
- Coordinate across functions: Keep Delivery, Engineering, and clinical stakeholders aligned on what’s coming and why, reading team health and velocity signals and adjusting rather than just reporting them.
We expect you to have
- A proven professional pedigree: You bring 4–6 years of PM experience, preferably with time spent at a high-growth, early-stage company where you've shipped in ambiguous, fast-moving conditions.
- Structured thinking: The ability to decompose an ambiguous problem into parts, sequence them, and explain the logic clearly to anyone in the room.
- A fast ramp on unfamiliar ground: You pick up new domains and tech quickly, which matters when you’re spanning two product areas plus healthcare context.
- Strong written communication: Backlog quality and scoping docs live or die on clarity, and yours are sharp enough that people act on them without a follow-up meeting.
- Ruthless prioritization and judgment: You rank against impact, effort, and dependencies rather than loudest-voice-wins, say no with a rationale stakeholders accept, and know what to decide now versus defer under incomplete information.
- Requirements that hold up: You write acceptance criteria engineers can build against directly, without reverse-engineering intent.
- Operational discipline: You keep ceremonies tight, coordinate cross-functionally without formal authority, and hold the line on scope creep when a sprint is under pressure.
- Technical fluency: Enough depth to reason about feasibility and tradeoffs with engineers, not just relay messages, and to translate between client conversations and technical specs in both directions.
- Healthcare awareness: An instinct to ask about data handling and regulatory constraints early, since scoping without compliance awareness produces specs that get torn up in review.
- NYC-Based: You are based in New York and excited to be in-office 3 days per week
Target Compensation for this role is 175K - 200K, plus equity and a generous benefits package.
Thesis Care is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Forward Deployed Engineer
About us
Thesis Care is building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.
We’re based in NYC, are growing rapidly, and are backed by significant venture funding from leading healthtech investors.
About the role
A Thesis Forward Deployed Engineer designs how our product integrates into each customer’s stack, and gives our Delivery team the technical firepower to move fast without stalling on engineering. This is a client-facing, hands-on role for someone who can reason about systems they don’t own, translate fluidly between technical and business audiences, and carry ownership from pre-sales through implementation handoff. You’ll partner closely with our Tech Leads, Delivery team, and customers, and you’ll be a key technical voice in the room on every deal.
Responsibilities
- Client-facing technical solution design: Design how our product integrates into each customer’s existing stack, accounting for APIs, data flows, auth, and infrastructure, and explain that solution back to the buyer in terms they care about.
- Technical support for Delivery: Be the technical expert our Delivery team relies on throughout implementation, resolving customer and internal questions on integration, architecture, and data so delivery keeps moving instead of waiting on engineering.
- Work breakdown for aligned scope: Once scope is aligned, partner with Tech Leads to turn it into a consolidated plan, surfacing dependencies before the build starts rather than during it.
- POC and pilot scoping: Scope and run proofs-of-concept and pilots so they validate the right things, close the deal, and set up a clean path to full implementation.
- Handoff and enablement: Leave both the customer’s team and our internal teams with documentation and technical context they can actually use after you step out of the day-to-day.
We expect you to have
- A proven professional pedigree: You bring 4–6 years of experience, preferably with time spent at a high-growth, early-stage company where you've shipped in ambiguous, fast-moving conditions.
- Hands-on technical ability: Enough engineering chops to build demos, write integration code, and debug live without escalating everything.
- Systems and architecture fluency: A solid grasp of our product architecture and the ability to reason about a customer’s stack (APIs, data flows, auth, infrastructure), including systems you don’t own.
- Technical-to-business translation: The ability to turn a customer’s business problem into a technical solution, explain it back in terms the buyer cares about, and cut the details that don’t matter to the audience in front of you.
- Discovery and scoping: Sharp questions that surface real requirements versus stated ones, and the judgment to scope POCs that prove the right thing and spot deals that won’t work technically before weeks get sunk.
- Customer and sales instinct: The ability to read a room and adjust depth on the fly, handle objections honestly (including “we don’t do that today”) without killing the deal, and know when to push technical validation versus get out of the way.
- Communication and presence: Clear written and verbal communication, demos that tell a story rather than click through screens, and calm credibility when something breaks mid-demo.
- Healthcare fluency: Comfort with compliance and security topics (HIPAA, data handling, audit requirements) that surface in nearly every deal, and the ability to speak credibly to clinical and operational stakeholders, not just IT.
- Ownership and range: Curiosity and a fast ramp on unfamiliar tech, comfort with ambiguity, and ownership across the full pre-sales-to-handoff arc rather than throwing things over the wall.
Target Compensation for this role is 200-250K, plus equity and a generous benefits package.
Thesis Care is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Clinical Expert, Care Team Operations
About Us
Thesis is building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.
We’re based in NYC, are growing rapidly, and are backed by $60 million in funding from Oak HC/FT, CRV, Black Opal Ventures, and experienced C-level healthtech angel investors.
About the role
We are looking for a passionate and versatile nurse or nurse practitioner to join Thesis as a foundational member of our clinical operations team. This is a broad-scope “utility player” role for a clinician who is equally comfortable performing hands-on care management work, collaborating with product and engineering teams to refine automated technology workflows, and coaching staff on quality and clinical standards. You will work across Thesis’s full portfolio of care team agents, supporting everything from chronic condition management and care gap outreach to complex prior authorizations and clinical documentation improvement. In this role, you will serve as an expert-in-the-loop: the clinical voice that ensures we deliver safe, high-quality care at scale.
Responsibilities:
- Deliver high-impact clinical work: Perform care management outreach, chronic condition follow-ups, care gap closure, and other clinical activities powered by Thesis’s AI platform.
- Support complex clinical operations workflows: Review prior authorizations, appeals, and other clinical-administrative tasks that require human clinical judgment.
- Provide quality oversight: Conduct quality audits of clinical operations activities, identify trends in errors or gaps, and develop remediation plans. Maintain and evolve quality scorecards and clinical rubrics.
- Develop clinical content and coach staff: Build the clinical protocols, scripts, and decision-support content that power Thesis AI agents, and onboard and train clinical team members on Thesis’s platform, workflows, and quality standards.
- Partner with product and engineering: Serve as a clinical subject matter expert, participating in workflow design sessions, testing new agent capabilities, identifying edge cases, and providing feedback.
We expect you to have:
- Active clinical licensure: Current RN, NP, or equivalent clinical license in good standing. Multi-state or Compact licensure is a plus.
- Strong clinical experience: 2-5 years spanning direct patient care and virtual or telephonic care delivery, with meaningful exposure to care management, utilization management, prior authorization, or population health workflows.
- Healthtech experience: Prior experience in a healthtech company, venture-backed startup, health plan, or technology-enabled clinical services organization.
- Quality mindset and entrepreneurial approach: You are detail-oriented, comfortable delivering constructive feedback, and energized by early-stage environments where you’re creating processes from the ground up.
- Location: This role may be remote or hybrid. NYC-based candidates are a plus.
Target compensation for this role is $100–$150k+, plus a generous benefits package. Compensation within this range will depend on experience, licensure level, and scope of responsibilities.
Please note: This role is staffed through our employment partner. The third party company will be your employer of record (payroll, benefits, HR), while you'll work directly with the Thesis Care team on daily responsibilities.
Thesis Care is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Chief of Staff
About us
Thesis is building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.
We’re based in NYC, are growing rapidly, and are backed by $60 million in funding from Oak HC/FT, CRV, Black Opal Ventures, and experienced C-level healthtech angel investors.
About the role
We are looking for a driven, high-agency Chief of Staff to serve as a strategic partner to Thesis’s CEO and leadership team. This is a broad-scope role at the intersection of strategy, operations, and execution. You’ll serve as a force multiplier for the leadership team as we scale and drive critical cross-functional initiatives spanning go-to-market, product, operations, and strategy. This role is designed for someone with a rigorous analytical foundation from top-tier consulting, venture / PE investing, or a high-growth startup who is ready to go deep on the operating side and own outcomes.
Responsibilities:
- Drive strategic initiatives end-to-end: Own the highest-priority cross-functional projects from scoping and analysis through execution and follow-through. These will span commercial and go-to-market strategy, product planning, client deployments, operational buildouts, and other critical special projects based on company needs.
- Partner closely with the CEO and leadership team: Serve as a trusted thought partner on company priorities, strategic decisions, and emerging challenges. Help frame problems, pressure-test ideas, and bring structure and clarity to complex, ambiguous situations.
- Strengthen operational infrastructure: Identify gaps in processes, systems, and workflows across the organization and drive improvements that enable the business to scale.
- Accelerate go-to-market: Support sales operations, build client-facing materials, develop positioning frameworks, and help close strategic accounts alongside the leadership team.
We expect you to have:
- Rigorous professional foundation: 3-5 years of experience at a top-tier management consulting firm, in venture capital or private equity investing, or in a high-impact operating role at an early-stage startup.
- Bias toward action and ownership: You thrive in ambiguity, take initiative without being asked, and drive projects to completion with minimal oversight.
- Demonstrated problem solving skills: You bring a hypothesis-driven approach to key challenges, identify root causes, and translate complexity into clear, actionable paths forward.
- Sharp analytical toolkit: Strong command of Excel and data analysis. You build models, define KPIs, and synthesize complex information into crisp recommendations. SQL or BI tool experience is a plus.
- Exceptional communication: You write clearly, present persuasively, and can tailor your message to audiences ranging from engineers to investors to clinical stakeholders.
- Healthcare interest: Prior healthcare or healthtech experience is a strong plus but not required. What matters is genuine interest in the space and a willingness to learn quickly.
Target compensation for this role is $160–$200k, plus equity and a generous benefits package.
Thesis Care is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Product Engineer, Full-Stack
About us
Thesis is building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.
We’re based in NYC, are growing rapidly, and are backed by $60 million in funding from Oak HC/FT, CRV, Black Opal Ventures, and experienced C-level healthtech angel investors.
About the role
We are looking for a product-minded Full-Stack Software Engineer to help design, build, and scale Thesis’s core platform. This is a broad-scope, hands-on engineering role for a creative builder who cares deeply about product quality, user experience, and technical rigor. As an early member of the engineering team, you will play a foundational role in shaping Thesis’s product, systems, and engineering culture.
Responsibilities:
- Own core systems: Architect, implement, and maintain business-critical components that define and power Thesis’s product, including frontend experiences, backend services, and data flows.
- Build end-to-end features: Lead the full lifecycle of feature development, from greenfield technical design through production deployment and iteration.
- Partner cross-functionally: Collaborate closely with founders, product, and design to translate user, clinical, and business needs into scalable technical solutions.
- Continuously evolve the platform: Improve system architecture, scalability, developer experience, and operational excellence as the company grows.
- Build hands-on with AI/ML: Dive into our AI/ML codebase (agents, LLM/RAG systems, evaluation, and supporting pipelines) to design, implement, and iterate on product features that measurably improve user experience and outcomes.
We expect you to have:
- Technical depth: 4+ years of professional experience as a full stack software engineer delivering high-quality, production-grade software.
- Full-stack expertise: Strong experience across the stack, with deep strength in either frontend or backend technical design and implementation.
- Modern engineering toolkit: Hands-on experience with technologies such as TypeScript, Node.js, React, Next.js, Postgres, RPC-based architectures, and cloud platforms like AWS.
- Product and UX mindset: A strong belief in great design and user-centered problem solving, with experience building intuitive, polished user experiences.
- AI fluency: Familiarity with modern AI technologies and an interest in applying LLMs and automation to development processes and real-world product challenges.
- Healthcare awareness: Experience building systems that work with sensitive data and regulated environments, or a strong interest in learning healthcare workflows and constraints.
- Clear communication: Ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
- NYC-based: You are based in New York and excited to be in-office ~3 days per week.
Target compensation for this role is $200-$250k, plus equity and a generous benefits package.
Thesis Care is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Data Engineer
About us
Thesis is building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.
We’re based in NYC, are growing rapidly, and are backed by $60 million in funding from Oak HC/FT, CRV, Black Opal Ventures, and experienced C-level healthtech angel investors.
About the role
We are looking for a highly driven Data Engineer to help design, build, and scale the data foundations that power Thesis’s AI agents, including owning critical client integrations. You will work closely with the product, engineering, and AI/ML teams to ensure Thesis’s data architecture is scalable, reliable, secure, and actionable. This is a broad-scope, high-impact role for a technical builder who thrives in ambiguity and wants meaningful ownership over modern data infrastructure in an early-stage healthcare startup.
Responsibilities
- Build core data infrastructure: Design, implement, and maintain scalable, data pipelines and architectures across ingestion, transformation, and storage layers
- Own client integrations and data ingestion: Structure and maintain durable integrations and ETL workflows to reliably onboard and normalize client data.
- Design robust data models: Build and maintain clean, well-documented data models that support reporting, analytics, and downstream automation.
- Enable product and analytics outcomes: Ensure data flows accurately from source systems to products, analytics, and AI/ML use cases.
- Drive data quality and reliability: Implement monitoring, testing, and observability to ensure high data quality and system uptime.
We expect you to have:
- Strong technical foundation: 4-6+ years of experience in Data Engineering or Software Engineering with a data focus; strong proficiency in Python and SQL.
- Modern data stack experience: Hands-on experience with cloud data platforms (AWS and/or GCP), data warehouses (Snowflake, Redshift, or BigQuery), orchestration tools (Airflow or similar), and transformation tools (dbt preferred).
- Healthcare data chops: Familiarity integrating with healthcare data standards and systems (e.g., FHIR/HL7, EHR APIs), including working with messy clinical/claims data.
- Data modeling expertise: Experience designing data models for different sources, workflows, and business processes.
- Clear communication: Ability to explain complex technical concepts to both technical and non-technical stakeholders.
- NYC-based: You are based in New York and excited to be in-office 3+ days per week.
Target compensation for this role is $170-$250k, plus equity and a generous benefits package.
Thesis Care is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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