
Member of Technical Staff
San Francisco, CAFull-timePosted 1w agoStill listed today
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Job overview
Dodo is building an AI operating system for healthcare, with systems used by patients and medical practices. The Member of Technical Staff will work across product and infrastructure, including AI agents, real-time voice systems, integrations, and healthcare-team products. The role involves end-to-end product development, customer collaboration, and close work with the founders on product direction, architecture, and technical strategy.
Skills & qualifications
Skills
Full job description
Build the AI operating system for healthcare. Work across voice, agents, integrations, data, and product to build systems used by millions of patients and thousands of practices.
What you'll do You'll own large parts of Dodo's product and infrastructure, from the real-time systems powering our AI agents to the products healthcare teams use every day.
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Design and ship core product features end-to-end, from idea to production
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Build and improve the real-time voice and agent infrastructure behind millions of patient interactions
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Make our AI agents faster, more reliable, and capable of handling increasingly complex workflows
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Build integrations with the systems that run healthcare, from scheduling and practice management software to telephony and payments
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Turn messy real-world workflows into simple, reliable product experiences
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Work directly with customers to understand hard problems and ship solutions quickly
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Own large surfaces of the product and codebase with significant autonomy
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Work closely with the founders on product direction, architecture, and technical strategy
Who you are You're a product-minded engineer who loves building, moves fast, and cares deeply about the details.
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Strong software engineering fundamentals and comfortable working across the stack
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Exceptional at turning ambiguous problems into simple, working products
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High ownership: you take things from vague idea to production and keep making them better
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Product-minded: you care as much about what we should build and how it feels to use as how it's implemented
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Comfortable learning whatever part of the stack is necessary to solve the problem
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Experience with real-time systems, LLMs, voice, or telephony is a plus, but not required
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Excited to work in person in San Francisco with a small team of exceptional engineers
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