Product Support Engineer
New York, NYJob$120–140K/yrPosted 3w agoStill listed 1w ago
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At a glance
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Job overview
Thesis Care is seeking a customer-focused Support Engineer to own technical issues, configuration changes, and customizations for live client deployments. The role involves diagnosing and fixing problems in a TypeScript/Node.js and React codebase, working directly with customers and engineering, and improving support processes as the company scales. The engineer will work in-office about three days per week and handle client and patient data in line with HIPAA and security practices.
Skills & qualifications
Skills
Qualifications
Full job description
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 customer-obsessed Support Engineer to keep Thesis's live client deployments running smoothly. You will be the technical owner for existing clients' issues, configuration changes, and customizations: diagnosing problems, shipping fixes, and making sure every client gets a fast, high-quality resolution. This is a hands-on engineering role for an AI native builder who enjoys digging into unfamiliar code, working directly with customers, and turning recurring pain into durable product improvements. You will work closely with our core engineering team and help shape how Thesis supports clients as we scale. Responsibilities
- Own client issue resolution: Triage, debug, and resolve technical issues reported by existing clients across our frontend, backend services, integrations, and data flows, from first report through verified fix in production.
- Ship client customizations and fixes: Implement client-specific configurations, workflow changes, and bug fixes in our TypeScript/Node.js and React codebase, following our code review and release standards.
- Debug across the stack: Investigate problems using logs, monitoring, database queries, and test environments, including issues in EHR/data integrations and our AI/LLM-powered features.
- Partner with engineering and customers: Act as the technical point of contact for client issues, communicate status and root cause clearly, and escalate with full context when a problem needs core engineering.
- Turn recurring issues into improvements: Spot patterns in client requests, advocate for product fixes, and build internal tools, scripts, and automations that reduce repeat work.
- Build the support playbook: Create and maintain runbooks, troubleshooting guides, and internal documentation so issues are resolved faster and more consistently over time.
- Protect sensitive data: Handle client and patient data in line with HIPAA and Thesis's security practices in everything you touch.
We expect you to have
- Technical foundation: 2+ years of professional experience as a software engineer, support engineer, or solutions engineer working on production B2B SaaS.
- Hands-on coding ability: Comfort reading and changing an existing codebase, with working experience in TypeScript/JavaScript, Node.js, and React; Python is a plus.
- Debugging and data skills: Strong troubleshooting instincts across web apps, APIs, and cloud infrastructure, plus solid SQL (Postgres preferred) for investigating data issues.
- Modern toolkit familiarity: Experience with RESTful or RPC-based APIs, AWS or similar cloud platforms, logging/monitoring tools, and ticketing systems such as Linear, Jira, Zendesk, or Pylon.
- Customer empathy: A track record of working directly with customers, managing escalations calmly, and owning issues until they are fully resolved.
- AI fluency: Familiarity with LLM-based products and interest in using AI tools to debug and resolve issues faster.
- Healthcare experience (a plus): Experience in healthcare, or working with sensitive data in regulated environments (HIPAA, PHI), is a plus. A strong interest in learning healthcare workflows and integrations is expected.
- Clear communication: Ability to explain technical root causes and fixes clearly to both engineers and non-technical client stakeholders, in writing and live.
- NYC-based: You are based in New York and available to work in-office ~3 days per week.
Target compensation for this role is $120–$140k, plus bonus, 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.
How this job compares
Set against the 659 open Support Engineer jobs on Olive Jobs, counted October 29, 2026.
- Pay
- This posting$120–140K/yr
- New York median$125–164K/yr20 salary ranges
- US median$84–136K/yr212 salary ranges
This range's midpoint, $130K, is 5% below the New York median midpoint ($137K) — in the middle half of Support Engineer salary ranges in New York.
- Openings
- Olive Jobs lists 35 open Support Engineer jobs in New York and 659 across the US. 4% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 2 years of experience; Support Engineer postings that state a minimum ask for 3 years at the median (408 postings).
- Education
- 128 of the 659 open Support Engineer jobs (19%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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