{"jobs":[{"id":"a1f7662b-af9c-4705-b168-9ca12c3854ce","title":"Senior AI Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York City","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-07-17T23:44:09.747+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/a1f7662b-af9c-4705-b168-9ca12c3854ce","applyUrl":"https://jobs.ashbyhq.com/doctronic/a1f7662b-af9c-4705-b168-9ca12c3854ce/application","descriptionHtml":"<h2><strong>Senior AI Engineer</strong></h2><p style=\"min-height:1.5em\"><strong>New York City or San Francisco | Hybrid Onsite | Full Time</strong></p><p style=\"min-height:1.5em\"></p><h2><strong>Mission</strong></h2><p style=\"min-height:1.5em\">Let's make high-quality healthcare free and accessible to everyone through AI. Doctronic's AI doctor already handles millions of consultations; our goal is to scale to billions while continuously improving clinical safety and accuracy. That means advancing how AI systems reason, learn, retrieve evidence, and earn trust in real clinical care.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">Doctronic runs a real clinical practice, with patients consulting our AI doctor every day. That gives us a dataset no one else has to test ideas against. We're committed to publishing and open sourcing as we go.</p><p style=\"min-height:1.5em\"><strong>You'll build the reasoning systems, learning methods, retrieval algorithms, and evaluation infrastructure that allow every component of Doctronic's clinical AI to improve with each iteration and earn greater autonomy over time.</strong></p><p style=\"min-height:1.5em\">This role blends research and engineering. What matters is real experimental or modeling work you can also ship, whether you come from applied ML or data science with strong engineering skills, or engineering with a research bent.</p><p style=\"min-height:1.5em\"></p><h2><strong>What You'll Build</strong></h2><h3><strong>Agentic Clinical Reasoning</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Design and implement the next generation of the architecture behind Doctronic's AI doctor, including reasoning, reflection, verification, tool use, routing, uncertainty handling, and escalation.</p></li><li><p style=\"min-height:1.5em\">Build systems in which specialized agents and models work together to make clinical decisions safely, reliably, and efficiently, with an architecture that supports self-improvement over time.</p></li></ul><h3><strong>Evaluation and Measurement</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Build the evaluation platform, rubrics, simulations, and experiments that measure how the AI doctor performs and know when a benchmark score rewards the wrong behavior.</p></li><li><p style=\"min-height:1.5em\">Identify what should be improved, whether reasoning, retrieval, model behavior, data, or engineering, and determine whether each intervention genuinely made the system better.</p></li></ul><h3><strong>Models and Learning</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Apply methods such as fine-tuning, distillation, reinforcement learning, preference optimization, and prompt and system optimization to improve specific components of the AI doctor.</p></li><li><p style=\"min-height:1.5em\">Build the training data, feedback, reward, and experimentation pipelines that turn evaluation results and clinical expertise into system improvements.</p></li></ul><h3><strong>Search, Retrieval, and Grounding</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Build search, ranking, retrieval, and grounding algorithms that connect clinical reasoning to trusted medical evidence, partner-specific content, and patient context.</p></li><li><p style=\"min-height:1.5em\">Improve and evaluate retrieval based on its effect on downstream clinical decisions, not only on document-relevance metrics.</p></li></ul><p style=\"min-height:1.5em\">Wherever you're working, you'll own the problem end-to-end, from framing it to measuring whether it worked.</p><p style=\"min-height:1.5em\"></p><h2><strong>How We Work</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Builder-first org: senior engineers who take ownership of a problem and run with it</p></li><li><p style=\"min-height:1.5em\">Autonomy here means moving fast on your own judgment and bringing in clinical, product, or engineering partners early when the problem calls for it, not after.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Who You Are</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">You are a research-minded engineer who wants to build intelligent systems and is equally serious about understanding and demonstrating their effectiveness.</p></li><li><p style=\"min-height:1.5em\">You have deep experience in at least two of the following:</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Agentic architectures, reasoning systems, and tool use</p></li><li><p style=\"min-height:1.5em\">Model evaluation, experimentation, and rubric design</p></li><li><p style=\"min-height:1.5em\">Model training, fine-tuning, distillation, or reinforcement learning</p></li><li><p style=\"min-height:1.5em\">Search, ranking, retrieval, or RAG</p></li></ul></li><li><p style=\"min-height:1.5em\">You have strong ML fundamentals, including training data, objectives, metrics, failure analysis, calibration, and validation.</p></li><li><p style=\"min-height:1.5em\">You're comfortable working in domains where ground truth is incomplete, and experts disagree, and where the right move is sometimes to question what \"correct\" even means before answering.</p></li><li><p style=\"min-height:1.5em\">You think through the business impact of your work and scope and prioritize solutions accordingly.</p></li><li><p style=\"min-height:1.5em\">You have strong engineering fundamentals, you build real systems, not just notebooks or one-off experiments.</p></li><li><p style=\"min-height:1.5em\">You communicate clearly and collaborate well across engineering, clinical, and product teams.</p></li></ul><p style=\"min-height:1.5em\">Typically, candidates will have an advanced degree in a quantitative, computational, or scientific discipline and 3+ years of highly relevant applied or research experience in AI/ML; or 7+ years of relevant experience building and researching ML systems, including recent hands-on work with LLMs and generative AI.</p><p style=\"min-height:1.5em\">We care more about the depth of your work than a specific credential or career path.</p><p style=\"min-height:1.5em\"></p><h2><strong>Bonus Points</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Published research, patents, meaningful open-source contributions, or novel production ML systems</p></li><li><p style=\"min-height:1.5em\">Experience building AI systems at an early-stage or high-growth company</p></li><li><p style=\"min-height:1.5em\">Experience in healthcare, clinical AI, or another regulated or safety-critical domain, including familiarity with clinical workflows, healthcare data, or standards such as HIPAA, FHIR, EHR, and HL7</p></li><li><p style=\"min-height:1.5em\">Experience with human-feedback systems, RLHF, simulation, or synthetic-data generation</p></li><li><p style=\"min-height:1.5em\">Work in AI safety, bias detection, calibration, or fairness</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>What We Offer</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Competitive salary plus meaningful equity with real upside as we grow</p></li><li><p style=\"min-height:1.5em\">Build AI systems transforming healthcare for millions</p></li><li><p style=\"min-height:1.5em\">High autonomy and end-to-end ownership on problems that matter</p></li><li><p style=\"min-height:1.5em\">Work side by side with physician-scientists</p></li><li><p style=\"min-height:1.5em\">Health benefits</p></li><li><p style=\"min-height:1.5em\">Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parent</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Funding and Momentum</strong></h2><p style=\"min-height:1.5em\">Doctronic is backed by Union Square Ventures, Lightspeed Venture Partners, and Abstract Ventures, with three rounds of financing completed between February 2025 and January 2026.</p><p style=\"min-height:1.5em\"><em>Doctronic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</em></p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"></p>","descriptionPlain":"SENIOR AI ENGINEER\n\nNew York City or San Francisco | Hybrid Onsite | Full Time\n\n\n\n\nMISSION\n\nLet's make high-quality healthcare free and accessible to everyone through AI. Doctronic's AI doctor already handles millions of consultations; our goal is to scale to billions while continuously improving clinical safety and accuracy. That means advancing how AI systems reason, learn, retrieve evidence, and earn trust in real clinical care.\n\n\n\n\nABOUT THE ROLE\n\nDoctronic runs a real clinical practice, with patients consulting our AI doctor every day. That gives us a dataset no one else has to test ideas against. We're committed to publishing and open sourcing as we go.\n\nYou'll build the reasoning systems, learning methods, retrieval algorithms, and evaluation infrastructure that allow every component of Doctronic's clinical AI to improve with each iteration and earn greater autonomy over time.\n\nThis role blends research and engineering. What matters is real experimental or modeling work you can also ship, whether you come from applied ML or data science with strong engineering skills, or engineering with a research bent.\n\n\n\n\nWHAT YOU'LL BUILD\n\n\nAGENTIC CLINICAL REASONING\n\n - Design and implement the next generation of the architecture behind Doctronic's AI doctor, including reasoning, reflection, verification, tool use, routing, uncertainty handling, and escalation.\n\n - Build systems in which specialized agents and models work together to make clinical decisions safely, reliably, and efficiently, with an architecture that supports self-improvement over time.\n\n\nEVALUATION AND MEASUREMENT\n\n - Build the evaluation platform, rubrics, simulations, and experiments that measure how the AI doctor performs and know when a benchmark score rewards the wrong behavior.\n\n - Identify what should be improved, whether reasoning, retrieval, model behavior, data, or engineering, and determine whether each intervention genuinely made the system better.\n\n\nMODELS AND LEARNING\n\n - Apply methods such as fine-tuning, distillation, reinforcement learning, preference optimization, and prompt and system optimization to improve specific components of the AI doctor.\n\n - Build the training data, feedback, reward, and experimentation pipelines that turn evaluation results and clinical expertise into system improvements.\n\n\nSEARCH, RETRIEVAL, AND GROUNDING\n\n - Build search, ranking, retrieval, and grounding algorithms that connect clinical reasoning to trusted medical evidence, partner-specific content, and patient context.\n\n - Improve and evaluate retrieval based on its effect on downstream clinical decisions, not only on document-relevance metrics.\n\nWherever you're working, you'll own the problem end-to-end, from framing it to measuring whether it worked.\n\n\n\n\nHOW WE WORK\n\n - Builder-first org: senior engineers who take ownership of a problem and run with it\n\n - Autonomy here means moving fast on your own judgment and bringing in clinical, product, or engineering partners early when the problem calls for it, not after.\n\n\n\n\nWHO YOU ARE\n\n - You are a research-minded engineer who wants to build intelligent systems and is equally serious about understanding and demonstrating their effectiveness.\n\n - You have deep experience in at least two of the following:\n   \n   - Agentic architectures, reasoning systems, and tool use\n   \n   - Model evaluation, experimentation, and rubric design\n   \n   - Model training, fine-tuning, distillation, or reinforcement learning\n   \n   - Search, ranking, retrieval, or RAG\n\n - You have strong ML fundamentals, including training data, objectives, metrics, failure analysis, calibration, and validation.\n\n - You're comfortable working in domains where ground truth is incomplete, and experts disagree, and where the right move is sometimes to question what \"correct\" even means before answering.\n\n - You think through the business impact of your work and scope and prioritize solutions accordingly.\n\n - You have strong engineering fundamentals, you build real systems, not just notebooks or one-off experiments.\n\n - You communicate clearly and collaborate well across engineering, clinical, and product teams.\n\nTypically, candidates will have an advanced degree in a quantitative, computational, or scientific discipline and 3+ years of highly relevant applied or research experience in AI/ML; or 7+ years of relevant experience building and researching ML systems, including recent hands-on work with LLMs and generative AI.\n\nWe care more about the depth of your work than a specific credential or career path.\n\n\n\n\nBONUS POINTS\n\n - Published research, patents, meaningful open-source contributions, or novel production ML systems\n\n - Experience building AI systems at an early-stage or high-growth company\n\n - Experience in healthcare, clinical AI, or another regulated or safety-critical domain, including familiarity with clinical workflows, healthcare data, or standards such as HIPAA, FHIR, EHR, and HL7\n\n - Experience with human-feedback systems, RLHF, simulation, or synthetic-data generation\n\n - Work in AI safety, bias detection, calibration, or fairness\n\n\n\n\nWHAT WE OFFER\n\n - Competitive salary plus meaningful equity with real upside as we grow\n\n - Build AI systems transforming healthcare for millions\n\n - High autonomy and end-to-end ownership on problems that matter\n\n - Work side by side with physician-scientists\n\n - Health benefits\n\n - Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parent\n\n\n\n\nFUNDING AND MOMENTUM\n\nDoctronic is backed by Union Square Ventures, Lightspeed Venture Partners, and Abstract Ventures, with three rounds of financing completed between February 2025 and January 2026.\n\nDoctronic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.\n\n\n\n","compensation":{"compensationTierSummary":"$200K – $300K • Offers Equity","scrapeableCompensationSalarySummary":"$200K - $300K","compensationTiers":[{"id":"c7e4c339-2c12-431b-84be-2e4db55be219","tierSummary":"$200K – $300K • Offers Equity","title":"New York","additionalInformation":null,"components":[{"id":"59cb4d80-b6e1-44aa-b824-e81805747116","summary":"$200K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":300000},{"id":"28f0c8c0-1de2-497e-85fb-7ddd741b2871","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":300000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"f02949ac-e25e-419e-9cdf-7177f2664ca1","title":"Senior Clinical Context Engineer","department":"Product","team":"Product","employmentType":"FullTime","location":"USA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-01-14T19:51:59.485+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"USA"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/f02949ac-e25e-419e-9cdf-7177f2664ca1","applyUrl":"https://jobs.ashbyhq.com/doctronic/f02949ac-e25e-419e-9cdf-7177f2664ca1/application","descriptionHtml":"<h1><strong>Senior Clinical Context Engineer</strong></h1><p style=\"min-height:1.5em\"><strong>Doctronic Physicians Group (DPG) &amp; Doctronic Inc.</strong></p><p style=\"min-height:1.5em\"></p><h2><strong>Position Overview</strong></h2><p style=\"min-height:1.5em\">We seek a physician-leader to bridge clinical medicine and artificial intelligence. This role combines hands-on context engineering with strategic leadership, requiring both deep medical knowledge and comfort with AI/LLM technologies.</p><p style=\"min-height:1.5em\"></p><h2><strong>Key Responsibilities</strong></h2><p style=\"min-height:1.5em\"><strong>Medical AI Development (50%)</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Write and refine medical guidelines and prompts that enable our LLMs to provide accurate clinical responses</p></li><li><p style=\"min-height:1.5em\">Translate medical knowledge into structured formats for our agentic workflows and knowledge graph</p></li><li><p style=\"min-height:1.5em\">Ensure AI outputs align with current medical standards across urgent care, primary care, chronic disease management, and medication management</p></li></ul><p style=\"min-height:1.5em\"><strong>Systems &amp; Evaluation (30%)</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Organize medical databases supporting our AI agents and consensus models</p></li><li><p style=\"min-height:1.5em\">Develop evaluation frameworks to assess LLM performance in clinical contexts</p></li><li><p style=\"min-height:1.5em\">Create metrics specific to diagnosis accuracy, treatment appropriateness, and prescription safety</p></li></ul><p style=\"min-height:1.5em\"><strong>Cross-functional Collaboration (20%)</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Day-to-day interaction with engineering team to develop and refine architecture</p></li><li><p style=\"min-height:1.5em\">Gather feedback from our physician network to identify improvement opportunities</p></li><li><p style=\"min-height:1.5em\">Partner with engineering on integration between AI doctor and EHR system</p></li></ul><p style=\"min-height:1.5em\"><br /></p><h2><strong>Required Qualifications</strong></h2><p style=\"min-height:1.5em\"><strong>Medical Background</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">MD, DO, or equivalent; completed residency in any specialty</p></li><li><p style=\"min-height:1.5em\">Strong clinical decision-making skills with experience in urgent care, primary care, or internal medicine preferred</p></li></ul><p style=\"min-height:1.5em\"><strong>Technical Expertise</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Data science background and a deep understanding of managing large databases</p></li><li><p style=\"min-height:1.5em\">Demonstrated deep knowledge of AI and large language models</p></li><li><p style=\"min-height:1.5em\">Experience with or strong interest in prompt engineering</p></li><li><p style=\"min-height:1.5em\">Comfort with iterative testing and rapid prototyping</p></li><li><p style=\"min-height:1.5em\">Familiarity with EHR systems and clinical workflows</p></li></ul><p style=\"min-height:1.5em\"><strong>Leadership Skills</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Proven ability to manage multidisciplinary teams</p></li><li><p style=\"min-height:1.5em\">Exceptional writing and editorial skills for medical content</p></li><li><p style=\"min-height:1.5em\">Experience developing clinical protocols or guidelines</p></li></ul><h2><strong>Preferred Qualifications</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Previous experience at healthcare technology companies or digital health startups</p></li><li><p style=\"min-height:1.5em\">Understanding of HIPAA compliance and healthcare data privacy</p></li></ul><h2><strong>What We Offer</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Direct impact on healthcare accessibility for millions of patients</p></li><li><p style=\"min-height:1.5em\">Opportunity to shape AI medical standards at a pioneering company</p></li><li><p style=\"min-height:1.5em\">Work with world-class AI technology unique in the industry</p></li><li><p style=\"min-height:1.5em\">Competitive equity package</p></li><li><p style=\"min-height:1.5em\">Salary commensurate with experience</p></li><li><p style=\"min-height:1.5em\">Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parents</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>About Doctronic</strong></h2><p style=\"min-height:1.5em\">Doctronic is the #1 AI Doctor, revolutionizing direct-to-patient healthcare through our proprietary AI system. Doctronic is the first AI legally authorized to practice medicine. We're processing millions of consultations monthly with 99%+ treatment plan accuracy validated by board-certified clinicians. Our platform (<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://doctronic.ai\">doctronic.ai</a>) provides free, anonymous, HIPAA-compliant AI consultations alongside affordable human physician visits ($40) available 24/7 across all 50 states via instant video, scheduled video, or async text.</p><p style=\"min-height:1.5em\"></p>","descriptionPlain":"SENIOR CLINICAL CONTEXT ENGINEER\n\nDoctronic Physicians Group (DPG) & Doctronic Inc.\n\n\n\n\nPOSITION OVERVIEW\n\nWe seek a physician-leader to bridge clinical medicine and artificial intelligence. This role combines hands-on context engineering with strategic leadership, requiring both deep medical knowledge and comfort with AI/LLM technologies.\n\n\n\n\nKEY RESPONSIBILITIES\n\nMedical AI Development (50%)\n\n - Write and refine medical guidelines and prompts that enable our LLMs to provide accurate clinical responses\n\n - Translate medical knowledge into structured formats for our agentic workflows and knowledge graph\n\n - Ensure AI outputs align with current medical standards across urgent care, primary care, chronic disease management, and medication management\n\nSystems & Evaluation (30%)\n\n - Organize medical databases supporting our AI agents and consensus models\n\n - Develop evaluation frameworks to assess LLM performance in clinical contexts\n\n - Create metrics specific to diagnosis accuracy, treatment appropriateness, and prescription safety\n\nCross-functional Collaboration (20%)\n\n - Day-to-day interaction with engineering team to develop and refine architecture\n\n - Gather feedback from our physician network to identify improvement opportunities\n\n - Partner with engineering on integration between AI doctor and EHR system\n\n\n\n\n\nREQUIRED QUALIFICATIONS\n\nMedical Background\n\n - MD, DO, or equivalent; completed residency in any specialty\n\n - Strong clinical decision-making skills with experience in urgent care, primary care, or internal medicine preferred\n\nTechnical Expertise\n\n - Data science background and a deep understanding of managing large databases\n\n - Demonstrated deep knowledge of AI and large language models\n\n - Experience with or strong interest in prompt engineering\n\n - Comfort with iterative testing and rapid prototyping\n\n - Familiarity with EHR systems and clinical workflows\n\nLeadership Skills\n\n - Proven ability to manage multidisciplinary teams\n\n - Exceptional writing and editorial skills for medical content\n\n - Experience developing clinical protocols or guidelines\n\n\nPREFERRED QUALIFICATIONS\n\n - Previous experience at healthcare technology companies or digital health startups\n\n - Understanding of HIPAA compliance and healthcare data privacy\n\n\nWHAT WE OFFER\n\n - Direct impact on healthcare accessibility for millions of patients\n\n - Opportunity to shape AI medical standards at a pioneering company\n\n - Work with world-class AI technology unique in the industry\n\n - Competitive equity package\n\n - Salary commensurate with experience\n\n - Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parents\n\n\n\n\nABOUT DOCTRONIC\n\nDoctronic is the #1 AI Doctor, revolutionizing direct-to-patient healthcare through our proprietary AI system. Doctronic is the first AI legally authorized to practice medicine. We're processing millions of consultations monthly with 99%+ treatment plan accuracy validated by board-certified clinicians. Our platform (doctronic.ai http://doctronic.ai) provides free, anonymous, HIPAA-compliant AI consultations alongside affordable human physician visits ($40) available 24/7 across all 50 states via instant video, scheduled video, or async text.\n\n","compensation":{"compensationTierSummary":"$200K – $350K • Offers Equity","scrapeableCompensationSalarySummary":"$200K - $350K","compensationTiers":[{"id":"dff53d63-3f9c-4a15-9c4d-1020942f5145","tierSummary":"$200K – $350K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"cc284784-7ed2-4117-aa78-2b507a09e779","summary":"$200K – $350K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":350000},{"id":"7da44491-f73b-4c2c-84fd-01e6a9a2a643","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":350000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"9037f4f4-58eb-48e8-99a8-3f86ae8a28df","title":"Clinical Product Manager","department":"Clinical","team":"Clinical","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-01-16T17:54:22.453+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/9037f4f4-58eb-48e8-99a8-3f86ae8a28df","applyUrl":"https://jobs.ashbyhq.com/doctronic/9037f4f4-58eb-48e8-99a8-3f86ae8a28df/application","descriptionHtml":"<h1><strong>Clinical Product Manager</strong></h1><p style=\"min-height:1.5em\"><strong>Doctronic Physicians Group (DPG) &amp; Doctronic Inc.</strong></p><p style=\"min-height:1.5em\"></p><h2><strong>Position Overview</strong></h2><p style=\"min-height:1.5em\">We seek a physician-product leader to drive the development of clinical pathways and workflows that power AI-native care delivery. This role sits at the intersection of clinical medicine, product management, and partner success—requiring deep medical expertise, proven product leadership, and the ability to translate complex clinical needs into scalable AI-enabled solutions for both our internal clinic and growing network of clinical partners.</p><p style=\"min-height:1.5em\"></p><h2><strong>Key Responsibilities</strong></h2><h3><strong>Clinical Product Development (50%)</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own the product roadmap for clinical pathways, defining and prioritizing features that enable safe, effective AI-native care delivery</p></li><li><p style=\"min-height:1.5em\">Design and iterate on clinical workflows for urgent care, primary care, chronic disease management, and medication management use cases</p></li><li><p style=\"min-height:1.5em\">Translate clinical requirements into detailed product specifications for our AI engineering and context engineering teams</p></li><li><p style=\"min-height:1.5em\">Drive product decisions grounded in clinical evidence, regulatory requirements, and real-world physician workflows</p></li></ul><h3><strong>Partner Integration &amp; Customization (35%)</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Serve as the primary liaison for new clinical partners, leading discovery to understand their unique workflow requirements and use cases</p></li><li><p style=\"min-height:1.5em\">Develop customized pathway configurations that adapt our AI platform to partner-specific clinical environments</p></li><li><p style=\"min-height:1.5em\">Build scalable frameworks for partner onboarding that balance customization with product consistency</p></li><li><p style=\"min-height:1.5em\">Gather and synthesize partner feedback to inform product roadmap priorities</p></li><li><p style=\"min-height:1.5em\">Ensure successful deployment and adoption of clinical workflows across diverse partner settings</p></li></ul><h3><strong>Cross-Functional Leadership (15%)</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Collaborate daily with AI engineering, context engineering, and clinical operations to bring clinical products from concept to deployment</p></li><li><p style=\"min-height:1.5em\">Partner with clinical leadership to ensure pathways meet quality standards and align with evidence-based medicine</p></li><li><p style=\"min-height:1.5em\">Work with engineering on EHR integrations and interoperability requirements for partner implementations</p></li><li><p style=\"min-height:1.5em\">Define success metrics and evaluation frameworks for clinical pathway performance</p></li><li><p style=\"min-height:1.5em\">Coordinate with compliance and legal teams to ensure all products meet regulatory requirements</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Required Qualifications</strong></h2><h3><strong>Medical Background</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">MD, DO, or equivalent medical degree (minimum requirement)</p></li><li><p style=\"min-height:1.5em\">Completed residency strongly preferred; post-residency clinical practice experience ideal</p></li><li><p style=\"min-height:1.5em\">Deep understanding of clinical decision-making, care delivery workflows, and physician needs</p></li><li><p style=\"min-height:1.5em\">Experience in urgent care, primary care, emergency medicine, or internal medicine preferred</p></li></ul><h3><strong>Product Management Experience</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">3+ years of product management experience, ideally in healthcare technology or digital health</p></li><li><p style=\"min-height:1.5em\">Demonstrated ability to own product roadmaps from strategy through execution</p></li><li><p style=\"min-height:1.5em\">Experience writing product requirements, user stories, and detailed specifications</p></li><li><p style=\"min-height:1.5em\">Track record of shipping products that required cross-functional coordination</p></li></ul><h3><strong>Technical Aptitude</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Strong understanding of AI/ML systems and their application in healthcare settings</p></li><li><p style=\"min-height:1.5em\">Experience deploying or implementing AI-enabled products in production environments preferred</p></li><li><p style=\"min-height:1.5em\">Familiarity with EHR systems, clinical data standards (HL7, FHIR), and healthcare interoperability</p></li><li><p style=\"min-height:1.5em\">Comfort with technical discussions and ability to collaborate effectively with engineering teams</p></li></ul><h3><strong>Leadership &amp; Communication</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Exceptional stakeholder management skills with ability to navigate complex partner relationships</p></li><li><p style=\"min-height:1.5em\">Strong written and verbal communication skills for both clinical and technical audiences</p></li><li><p style=\"min-height:1.5em\">Experience working with or managing multidisciplinary teams</p></li><li><p style=\"min-height:1.5em\">Ability to thrive in ambiguity and drive clarity in fast-moving environments</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Preferred Qualifications</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Previous experience at healthcare technology companies, digital health startups, or health systems innovation teams</p></li><li><p style=\"min-height:1.5em\">Background in clinical informatics or health IT implementation</p></li><li><p style=\"min-height:1.5em\">Understanding of HIPAA compliance, healthcare data privacy, and FDA regulations for clinical software</p></li><li><p style=\"min-height:1.5em\">Experience with prompt engineering, LLMs, or AI system development</p></li><li><p style=\"min-height:1.5em\">MBA or other business/product training a plus</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>What We Offer</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Direct impact on healthcare accessibility for millions of patients</p></li><li><p style=\"min-height:1.5em\">Opportunity to define how AI transforms clinical care delivery at a pioneering company</p></li><li><p style=\"min-height:1.5em\">Work with world-class AI technology unique in the industry</p></li><li><p style=\"min-height:1.5em\">Shape partnerships that will scale AI-native care across the healthcare ecosystem</p></li><li><p style=\"min-height:1.5em\">Competitive equity package</p></li><li><p style=\"min-height:1.5em\">Salary commensurate with experience</p></li><li><p style=\"min-height:1.5em\">Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parents</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>About Doctronic</strong></h2><p style=\"min-height:1.5em\">Doctronic is the #1 AI Doctor, revolutionizing direct-to-patient healthcare through our proprietary AI system. Doctronic is the first AI legally authorized to practice medicine. We're processing millions of consultations monthly with 99%+ treatment plan accuracy validated by board-certified clinicians. Our platform (<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://doctronic.ai\">doctronic.ai</a>) provides free, anonymous, HIPAA-compliant AI consultations alongside affordable human physician visits ($40) available 24/7 across all 50 states via instant video, scheduled video, or async text.</p><p style=\"min-height:1.5em\"></p>","descriptionPlain":"CLINICAL PRODUCT MANAGER\n\nDoctronic Physicians Group (DPG) & Doctronic Inc.\n\n\n\n\nPOSITION OVERVIEW\n\nWe seek a physician-product leader to drive the development of clinical pathways and workflows that power AI-native care delivery. This role sits at the intersection of clinical medicine, product management, and partner success—requiring deep medical expertise, proven product leadership, and the ability to translate complex clinical needs into scalable AI-enabled solutions for both our internal clinic and growing network of clinical partners.\n\n\n\n\nKEY RESPONSIBILITIES\n\n\nCLINICAL PRODUCT DEVELOPMENT (50%)\n\n - Own the product roadmap for clinical pathways, defining and prioritizing features that enable safe, effective AI-native care delivery\n\n - Design and iterate on clinical workflows for urgent care, primary care, chronic disease management, and medication management use cases\n\n - Translate clinical requirements into detailed product specifications for our AI engineering and context engineering teams\n\n - Drive product decisions grounded in clinical evidence, regulatory requirements, and real-world physician workflows\n\n\nPARTNER INTEGRATION & CUSTOMIZATION (35%)\n\n - Serve as the primary liaison for new clinical partners, leading discovery to understand their unique workflow requirements and use cases\n\n - Develop customized pathway configurations that adapt our AI platform to partner-specific clinical environments\n\n - Build scalable frameworks for partner onboarding that balance customization with product consistency\n\n - Gather and synthesize partner feedback to inform product roadmap priorities\n\n - Ensure successful deployment and adoption of clinical workflows across diverse partner settings\n\n\nCROSS-FUNCTIONAL LEADERSHIP (15%)\n\n - Collaborate daily with AI engineering, context engineering, and clinical operations to bring clinical products from concept to deployment\n\n - Partner with clinical leadership to ensure pathways meet quality standards and align with evidence-based medicine\n\n - Work with engineering on EHR integrations and interoperability requirements for partner implementations\n\n - Define success metrics and evaluation frameworks for clinical pathway performance\n\n - Coordinate with compliance and legal teams to ensure all products meet regulatory requirements\n\n\n\n\nREQUIRED QUALIFICATIONS\n\n\nMEDICAL BACKGROUND\n\n - MD, DO, or equivalent medical degree (minimum requirement)\n\n - Completed residency strongly preferred; post-residency clinical practice experience ideal\n\n - Deep understanding of clinical decision-making, care delivery workflows, and physician needs\n\n - Experience in urgent care, primary care, emergency medicine, or internal medicine preferred\n\n\nPRODUCT MANAGEMENT EXPERIENCE\n\n - 3+ years of product management experience, ideally in healthcare technology or digital health\n\n - Demonstrated ability to own product roadmaps from strategy through execution\n\n - Experience writing product requirements, user stories, and detailed specifications\n\n - Track record of shipping products that required cross-functional coordination\n\n\nTECHNICAL APTITUDE\n\n - Strong understanding of AI/ML systems and their application in healthcare settings\n\n - Experience deploying or implementing AI-enabled products in production environments preferred\n\n - Familiarity with EHR systems, clinical data standards (HL7, FHIR), and healthcare interoperability\n\n - Comfort with technical discussions and ability to collaborate effectively with engineering teams\n\n\nLEADERSHIP & COMMUNICATION\n\n - Exceptional stakeholder management skills with ability to navigate complex partner relationships\n\n - Strong written and verbal communication skills for both clinical and technical audiences\n\n - Experience working with or managing multidisciplinary teams\n\n - Ability to thrive in ambiguity and drive clarity in fast-moving environments\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Previous experience at healthcare technology companies, digital health startups, or health systems innovation teams\n\n - Background in clinical informatics or health IT implementation\n\n - Understanding of HIPAA compliance, healthcare data privacy, and FDA regulations for clinical software\n\n - Experience with prompt engineering, LLMs, or AI system development\n\n - MBA or other business/product training a plus\n\n\n\n\nWHAT WE OFFER\n\n - Direct impact on healthcare accessibility for millions of patients\n\n - Opportunity to define how AI transforms clinical care delivery at a pioneering company\n\n - Work with world-class AI technology unique in the industry\n\n - Shape partnerships that will scale AI-native care across the healthcare ecosystem\n\n - Competitive equity package\n\n - Salary commensurate with experience\n\n - Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parents\n\n\n\n\nABOUT DOCTRONIC\n\nDoctronic is the #1 AI Doctor, revolutionizing direct-to-patient healthcare through our proprietary AI system. Doctronic is the first AI legally authorized to practice medicine. We're processing millions of consultations monthly with 99%+ treatment plan accuracy validated by board-certified clinicians. Our platform (doctronic.ai http://doctronic.ai) provides free, anonymous, HIPAA-compliant AI consultations alongside affordable human physician visits ($40) available 24/7 across all 50 states via instant video, scheduled video, or async text.\n\n","compensation":{"compensationTierSummary":"$200K – $300K • Offers Equity","scrapeableCompensationSalarySummary":"$200K - $300K","compensationTiers":[{"id":"29a180a1-96dd-413b-9138-16624b28deb4","tierSummary":"$200K – $300K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"84caf713-b097-40ef-a0f0-c247f05bdef6","summary":"$200K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":300000},{"id":"419b4b58-a3fb-46cc-935d-1057b72f3fe9","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":300000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"97cbd557-e802-48aa-b1ff-0e602b8354e8","title":"Medical Director, Doctronic","department":"Clinical","team":"Clinical","employmentType":"FullTime","location":"USA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-02-10T04:53:14.988+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"USA"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/97cbd557-e802-48aa-b1ff-0e602b8354e8","applyUrl":"https://jobs.ashbyhq.com/doctronic/97cbd557-e802-48aa-b1ff-0e602b8354e8/application","descriptionHtml":"<h1><strong>Medical Director, Doctronic</strong></h1><p style=\"min-height:1.5em\"></p><h2><strong>Role summary</strong></h2><p style=\"min-height:1.5em\">Doctronic is building an AI-native virtual medical practice. The Medical Director will partner closely with the CMO to turn clinical strategy into production systems, integrating our clinical-grade AI, practice-wide pathways and guidelines, continuous improvement of our care delivery model, and an innovative quality and safety program.</p><p style=\"min-height:1.5em\">This is a builder role for a physician leader who wants to design care models, ship operational change, work directly with product teams to launch new clinical offerings, and redefine how medical care is delivered in the era of clinical-grade AI.</p><p style=\"min-height:1.5em\"></p><h2><strong>Reporting and key relationships</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Reports to the Chief Medical Officer</p></li><li><p style=\"min-height:1.5em\">Works closely with Clinical Product, Clinical Operations, Quality and Compliance, Data and Analytics, and Engineering</p></li><li><p style=\"min-height:1.5em\">Partners with supervising and practicing clinicians across the practice</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Core responsibilities</strong></h2><h2><strong>Practice guidelines and pathways</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own the lifecycle of clinical pathways and practice guidelines from drafting through rollout and iteration</p></li><li><p style=\"min-height:1.5em\">Create concise, AI-native, usable protocols that drive consistent, high-quality virtual care</p></li><li><p style=\"min-height:1.5em\">Define escalation criteria, exclusion criteria, referral pathways, and safety thresholds for virtual-first care</p></li><li><p style=\"min-height:1.5em\">Ensure guidelines are communicated and implemented through training, documentation standards, and workflow integration</p></li><li><p style=\"min-height:1.5em\">Ensure guidelines are deployed through an AI-friendly interface</p></li></ul><h3><strong>Improve Doctronic’s AI-native care delivery model</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Continuously refine how care is delivered across intake, triage, assessment, treatment planning, follow-up, and escalation</p></li><li><p style=\"min-height:1.5em\">Identify operational bottlenecks and redesign workflows to improve quality, speed, and patient experience</p></li><li><p style=\"min-height:1.5em\">Standardize high-performing clinical practices and reduce unwarranted variation</p></li><li><p style=\"min-height:1.5em\">Assist with QA and performance review of Doctronic Physician Group providers</p></li></ul><h3><strong>Build new care offerings with Clinical Product</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Assist the product team with clinical design for new programs and condition pathways</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Define eligibility, care cadence, clinical requirements, safety guardrails, and success metrics</p></li><li><p style=\"min-height:1.5em\">Partner with Product and Engineering to translate clinical logic into usable product and workflow experiences</p></li><li><p style=\"min-height:1.5em\">Drive clinical readiness for launches and ensure safe, coherent execution at go-live</p></li></ul></li></ul><h3><strong>Quality and safety workstreams</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Lead practice quality and patient safety initiatives across the care model</p></li><li><p style=\"min-height:1.5em\">Maintain a functioning safety event pipeline and review process with timely corrective actions</p></li><li><p style=\"min-height:1.5em\">Run continuous learning loops through structured case review and quality audits</p></li><li><p style=\"min-height:1.5em\">Define quality metrics, monitoring dashboards, and improvement targets with Analytics</p></li></ul><h3><strong>Care Delivery</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Maintain a practice within the Doctronic AI-Native Care platform</p></li></ul><h2><strong>Additional responsibilities</strong></h2><h3><strong>Assist with the clinical design of new AI pathways</strong></h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Assist the product team with clinical design for new programs and condition pathways</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Define eligibility, care cadence, clinical requirements, safety guardrails, and success metrics</p></li><li><p style=\"min-height:1.5em\">Partner with product and engineering to translate clinical logic into usable product and workflow experiences</p></li><li><p style=\"min-height:1.5em\">Drive clinical readiness for launches and ensure safe, coherent execution at go-live</p></li></ul></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Required qualifications</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">MD or DO with active or eligible U.S. licensure</p></li><li><p style=\"min-height:1.5em\">Board certification in Family Medicine, Internal Medicine, or Emergency Medicine strongly preferred</p></li><li><p style=\"min-height:1.5em\">Minimum 5 years of post-residency care delivery</p></li><li><p style=\"min-height:1.5em\">Experience supervising virtual care at scale</p></li><li><p style=\"min-height:1.5em\">Demonstrated ability to design clinical protocols and implement them operationally</p></li><li><p style=\"min-height:1.5em\">Experience leading quality improvement, patient safety, or clinical operations work</p></li><li><p style=\"min-height:1.5em\">The ability or willingness to maximize productivity using AI tools</p></li></ul><h2><strong>Preferred qualifications</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience partnering with product and engineering teams to ship clinical workflows and programs</p></li><li><p style=\"min-height:1.5em\">Experience operating in high-growth clinical environments such as telehealth, value-based care, or scaling practices</p></li><li><p style=\"min-height:1.5em\">Familiarity with clinical AI governance, monitoring, and safety evaluation</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>How you work</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Builder mindset with strong follow-through</p></li><li><p style=\"min-height:1.5em\">High clinical rigor with pragmatic execution</p></li><li><p style=\"min-height:1.5em\">Systems thinking across clinical care, operations, and product</p></li><li><p style=\"min-height:1.5em\">Calm, durable judgment under ambiguity</p></li><li><p style=\"min-height:1.5em\">Collaborative leadership with clear clinical accountability<br /></p></li></ul><h2><strong>What We Offer</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Direct impact on healthcare accessibility for millions of patients</p></li><li><p style=\"min-height:1.5em\">Opportunity to define how AI transforms clinical care delivery at a pioneering company</p></li><li><p style=\"min-height:1.5em\">Work with world-class AI technology unique in the industry</p></li><li><p style=\"min-height:1.5em\">Shape partnerships that will scale AI-native care across the healthcare ecosystem</p></li><li><p style=\"min-height:1.5em\">Competitive equity package</p></li><li><p style=\"min-height:1.5em\">Salary commensurate with experience</p></li><li><p style=\"min-height:1.5em\">Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parents</p></li></ul>","descriptionPlain":"MEDICAL DIRECTOR, DOCTRONIC\n\n\n\n\nROLE SUMMARY\n\nDoctronic is building an AI-native virtual medical practice. The Medical Director will partner closely with the CMO to turn clinical strategy into production systems, integrating our clinical-grade AI, practice-wide pathways and guidelines, continuous improvement of our care delivery model, and an innovative quality and safety program.\n\nThis is a builder role for a physician leader who wants to design care models, ship operational change, work directly with product teams to launch new clinical offerings, and redefine how medical care is delivered in the era of clinical-grade AI.\n\n\n\n\nREPORTING AND KEY RELATIONSHIPS\n\n - Reports to the Chief Medical Officer\n\n - Works closely with Clinical Product, Clinical Operations, Quality and Compliance, Data and Analytics, and Engineering\n\n - Partners with supervising and practicing clinicians across the practice\n\n\n\n\nCORE RESPONSIBILITIES\n\n\nPRACTICE GUIDELINES AND PATHWAYS\n\n - Own the lifecycle of clinical pathways and practice guidelines from drafting through rollout and iteration\n\n - Create concise, AI-native, usable protocols that drive consistent, high-quality virtual care\n\n - Define escalation criteria, exclusion criteria, referral pathways, and safety thresholds for virtual-first care\n\n - Ensure guidelines are communicated and implemented through training, documentation standards, and workflow integration\n\n - Ensure guidelines are deployed through an AI-friendly interface\n\n\nIMPROVE DOCTRONIC’S AI-NATIVE CARE DELIVERY MODEL\n\n - Continuously refine how care is delivered across intake, triage, assessment, treatment planning, follow-up, and escalation\n\n - Identify operational bottlenecks and redesign workflows to improve quality, speed, and patient experience\n\n - Standardize high-performing clinical practices and reduce unwarranted variation\n\n - Assist with QA and performance review of Doctronic Physician Group providers\n\n\nBUILD NEW CARE OFFERINGS WITH CLINICAL PRODUCT\n\n - Assist the product team with clinical design for new programs and condition pathways\n   \n   - Define eligibility, care cadence, clinical requirements, safety guardrails, and success metrics\n   \n   - Partner with Product and Engineering to translate clinical logic into usable product and workflow experiences\n   \n   - Drive clinical readiness for launches and ensure safe, coherent execution at go-live\n\n\nQUALITY AND SAFETY WORKSTREAMS\n\n - Lead practice quality and patient safety initiatives across the care model\n\n - Maintain a functioning safety event pipeline and review process with timely corrective actions\n\n - Run continuous learning loops through structured case review and quality audits\n\n - Define quality metrics, monitoring dashboards, and improvement targets with Analytics\n\n\nCARE DELIVERY\n\n - Maintain a practice within the Doctronic AI-Native Care platform\n\n\nADDITIONAL RESPONSIBILITIES\n\n\nASSIST WITH THE CLINICAL DESIGN OF NEW AI PATHWAYS\n\n - Assist the product team with clinical design for new programs and condition pathways\n   \n   - Define eligibility, care cadence, clinical requirements, safety guardrails, and success metrics\n   \n   - Partner with product and engineering to translate clinical logic into usable product and workflow experiences\n   \n   - Drive clinical readiness for launches and ensure safe, coherent execution at go-live\n\n\n\n\nREQUIRED QUALIFICATIONS\n\n - MD or DO with active or eligible U.S. licensure\n\n - Board certification in Family Medicine, Internal Medicine, or Emergency Medicine strongly preferred\n\n - Minimum 5 years of post-residency care delivery\n\n - Experience supervising virtual care at scale\n\n - Demonstrated ability to design clinical protocols and implement them operationally\n\n - Experience leading quality improvement, patient safety, or clinical operations work\n\n - The ability or willingness to maximize productivity using AI tools\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience partnering with product and engineering teams to ship clinical workflows and programs\n\n - Experience operating in high-growth clinical environments such as telehealth, value-based care, or scaling practices\n\n - Familiarity with clinical AI governance, monitoring, and safety evaluation\n\n\n\n\nHOW YOU WORK\n\n - Builder mindset with strong follow-through\n\n - High clinical rigor with pragmatic execution\n\n - Systems thinking across clinical care, operations, and product\n\n - Calm, durable judgment under ambiguity\n\n - Collaborative leadership with clear clinical accountability\n   \n\n\nWHAT WE OFFER\n\n - Direct impact on healthcare accessibility for millions of patients\n\n - Opportunity to define how AI transforms clinical care delivery at a pioneering company\n\n - Work with world-class AI technology unique in the industry\n\n - Shape partnerships that will scale AI-native care across the healthcare ecosystem\n\n - Competitive equity package\n\n - Salary commensurate with experience\n\n - Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parents","compensation":{"compensationTierSummary":"$250K – $300K • Offers Equity","scrapeableCompensationSalarySummary":"$250K - $300K","compensationTiers":[{"id":"645cf528-d9f9-4cd7-b46d-d6b0811e999d","tierSummary":"$250K – $300K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"8e69934d-d687-425a-88ad-5883bbd606b2","summary":"$250K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":250000,"maxValue":300000},{"id":"4072afd9-9aaf-4848-8042-7cba0ff3b27e","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":250000,"maxValue":300000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"0ab870f2-f34b-4a15-ac10-52c0b7f83418","title":"Telemedicine Psychiatrist (Mental Health Provider)","department":"Clinical","team":"Clinical","employmentType":"FullTime","location":"USA","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-04-06T22:40:35.540+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"USA"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/0ab870f2-f34b-4a15-ac10-52c0b7f83418","applyUrl":"https://jobs.ashbyhq.com/doctronic/0ab870f2-f34b-4a15-ac10-52c0b7f83418/application","descriptionHtml":"<h2><strong>Telemedicine P</strong>sychiatrist (Mental Health Provider)<strong> </strong></h2><p style=\"min-height:1.5em\"></p><h2>Overview</h2><p style=\"min-height:1.5em\">We are seeking a Board-Certified Telemedicine Psychiatrist to deliver high-quality, integrated psychiatry and behavioral health services within a value-based care model. This role is ideal for physicians motivated by improving outcomes, reducing total cost of care, and delivering proactive, longitudinal patient management through a virtual-first platform.</p><p style=\"min-height:1.5em\">Physicians will provide comprehensive care across both physical and behavioral health, managing acute and chronic conditions while addressing underlying drivers of utilization, including mental health and social factors. Care is delivered through scheduled and on-demand encounters, with all interactions documented in the Doctronic platform.</p><p style=\"min-height:1.5em\"></p><h2><strong>Key Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Deliver whole-person, longitudinal care that integrates primary care and behavioral health, with a focus on measurable outcomes.</p></li><li><p style=\"min-height:1.5em\">Manage acute and chronic conditions, emphasizing the reduction of avoidable ED visits, hospitalizations, and specialty leakage.</p></li><li><p style=\"min-height:1.5em\">Conduct behavioral health screening, diagnosis, and front-line management (e.g., anxiety, depression, ADHD, substance use), integrating care into overall treatment plans.</p></li><li><p style=\"min-height:1.5em\">Prescribe and manage both medical and psychotropic medications in accordance with evidence-based guidelines.</p></li><li><p style=\"min-height:1.5em\">Utilize data-driven, measurement-based care (e.g., PHQ-9, GAD-7, utilization patterns) to guide clinical decisions and track patient progress.</p></li><li><p style=\"min-height:1.5em\">Identify and address high-risk patients and rising-risk populations through proactive outreach and care interventions.</p></li><li><p style=\"min-height:1.5em\">Perform risk stratification and care planning to improve quality metrics and patient outcomes.</p></li><li><p style=\"min-height:1.5em\">Collaborate with a multidisciplinary care team (behavioral health specialists, care coordinators, and support staff) to ensure coordinated, high-value care delivery.</p></li><li><p style=\"min-height:1.5em\">Document all patient interactions and care plans in the Doctronic EHR, ensuring accuracy for quality reporting and value-based reimbursement.</p></li><li><p style=\"min-height:1.5em\">Maintain compliance with HIPAA, telehealth regulations, and state-specific prescribing requirements.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Requirements</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Active, unrestricted medical license in <strong>at least 40 U.S. states</strong> (50 states preferred).</p></li><li><p style=\"min-height:1.5em\">Board Certification in Family Medicine or Internal Medicine required.</p></li><li><p style=\"min-height:1.5em\">Demonstrated experience in integrated care delivery, including management of common behavioral health conditions within a primary care setting.</p></li><li><p style=\"min-height:1.5em\">Strong understanding of value-based care principles, including quality metrics, utilization management, and total cost of care.</p></li><li><p style=\"min-height:1.5em\">Experience managing chronic conditions and high-risk patient populations in a longitudinal care model.</p></li><li><p style=\"min-height:1.5em\">Comfortable prescribing and managing psychotropic medications within a primary care scope.</p></li><li><p style=\"min-height:1.5em\">Experience with telemedicine platforms and delivering high-quality virtual care.</p></li><li><p style=\"min-height:1.5em\">Excellent communication skills with a patient-centered, outcomes-driven approach.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Preferred Qualifications</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience in value-based care environments (e.g., Medicare Advantage, Medicaid, ACOs, employer-sponsored populations).</p></li><li><p style=\"min-height:1.5em\">Familiarity with quality measures such as HEDIS, STAR ratings, and other performance-based metrics.</p></li><li><p style=\"min-height:1.5em\">Training or experience in behavioral health, addiction medicine, or collaborative care models (CoCM).</p></li><li><p style=\"min-height:1.5em\">Experience with data-driven care, population health tools, and outcomes tracking.</p></li><li><p style=\"min-height:1.5em\">Multi-state licensure via IMLCC strongly preferred.</p></li><li><p style=\"min-height:1.5em\">Prior experience in a virtual-first or digital health organization.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>What We Offer</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Direct impact on healthcare accessibility for millions of patients</p></li><li><p style=\"min-height:1.5em\">Opportunity to define how AI transforms clinical care delivery at a pioneering company</p></li><li><p style=\"min-height:1.5em\">Work with world-class AI technology unique in the industry</p></li><li><p style=\"min-height:1.5em\">Competitive equity package</p></li><li><p style=\"min-height:1.5em\">Salary commensurate with experience</p></li><li><p style=\"min-height:1.5em\">Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parents</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Schedule &amp; Commitment</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Minimum weekly scheduling of 40 hours required.</p></li><li><p style=\"min-height:1.5em\">Must be willing to work evenings, weekends, and occasional overnight shifts to support 24/7 patient access.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Desired State Licenses</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Minimum:</strong> IMLCC states plus California and New York</p></li><li><p style=\"min-height:1.5em\"><strong>Preferred:</strong> All 50 states plus Washington, D.C.</p></li></ul><div style=\"min-height:1.2em;margin-top:0px;margin-bottom:0px\"> </div><div style=\"min-height:1.2em;margin-top:0px;margin-bottom:0px\"> </div>","descriptionPlain":"TELEMEDICINE PSYCHIATRIST (MENTAL HEALTH PROVIDER) \n\n\n\n\nOVERVIEW\n\nWe are seeking a Board-Certified Telemedicine Psychiatrist to deliver high-quality, integrated psychiatry and behavioral health services within a value-based care model. This role is ideal for physicians motivated by improving outcomes, reducing total cost of care, and delivering proactive, longitudinal patient management through a virtual-first platform.\n\nPhysicians will provide comprehensive care across both physical and behavioral health, managing acute and chronic conditions while addressing underlying drivers of utilization, including mental health and social factors. Care is delivered through scheduled and on-demand encounters, with all interactions documented in the Doctronic platform.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Deliver whole-person, longitudinal care that integrates primary care and behavioral health, with a focus on measurable outcomes.\n\n - Manage acute and chronic conditions, emphasizing the reduction of avoidable ED visits, hospitalizations, and specialty leakage.\n\n - Conduct behavioral health screening, diagnosis, and front-line management (e.g., anxiety, depression, ADHD, substance use), integrating care into overall treatment plans.\n\n - Prescribe and manage both medical and psychotropic medications in accordance with evidence-based guidelines.\n\n - Utilize data-driven, measurement-based care (e.g., PHQ-9, GAD-7, utilization patterns) to guide clinical decisions and track patient progress.\n\n - Identify and address high-risk patients and rising-risk populations through proactive outreach and care interventions.\n\n - Perform risk stratification and care planning to improve quality metrics and patient outcomes.\n\n - Collaborate with a multidisciplinary care team (behavioral health specialists, care coordinators, and support staff) to ensure coordinated, high-value care delivery.\n\n - Document all patient interactions and care plans in the Doctronic EHR, ensuring accuracy for quality reporting and value-based reimbursement.\n\n - Maintain compliance with HIPAA, telehealth regulations, and state-specific prescribing requirements.\n\n\n\n\nREQUIREMENTS\n\n - Active, unrestricted medical license in at least 40 U.S. states (50 states preferred).\n\n - Board Certification in Family Medicine or Internal Medicine required.\n\n - Demonstrated experience in integrated care delivery, including management of common behavioral health conditions within a primary care setting.\n\n - Strong understanding of value-based care principles, including quality metrics, utilization management, and total cost of care.\n\n - Experience managing chronic conditions and high-risk patient populations in a longitudinal care model.\n\n - Comfortable prescribing and managing psychotropic medications within a primary care scope.\n\n - Experience with telemedicine platforms and delivering high-quality virtual care.\n\n - Excellent communication skills with a patient-centered, outcomes-driven approach.\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience in value-based care environments (e.g., Medicare Advantage, Medicaid, ACOs, employer-sponsored populations).\n\n - Familiarity with quality measures such as HEDIS, STAR ratings, and other performance-based metrics.\n\n - Training or experience in behavioral health, addiction medicine, or collaborative care models (CoCM).\n\n - Experience with data-driven care, population health tools, and outcomes tracking.\n\n - Multi-state licensure via IMLCC strongly preferred.\n\n - Prior experience in a virtual-first or digital health organization.\n\n\n\n\nWHAT WE OFFER\n\n - Direct impact on healthcare accessibility for millions of patients\n\n - Opportunity to define how AI transforms clinical care delivery at a pioneering company\n\n - Work with world-class AI technology unique in the industry\n\n - Competitive equity package\n\n - Salary commensurate with experience\n\n - Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parents\n\n\n\n\nSCHEDULE & COMMITMENT\n\n - Minimum weekly scheduling of 40 hours required.\n\n - Must be willing to work evenings, weekends, and occasional overnight shifts to support 24/7 patient access.\n\n\n\n\nDESIRED STATE LICENSES\n\n - Minimum: IMLCC states plus California and New York\n\n - Preferred: All 50 states plus Washington, D.C.\n\n \n ","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"2a559bbb-a981-451b-a43b-610a1e56a8c5","title":"Paid Media Manager","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"New York City","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"Los Angeles","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Los Angeles"}}}],"publishedAt":"2026-09-21T16:04:55.795+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/2a559bbb-a981-451b-a43b-610a1e56a8c5","applyUrl":"https://jobs.ashbyhq.com/doctronic/2a559bbb-a981-451b-a43b-610a1e56a8c5/application","descriptionHtml":"<h1>Paid Media Manager</h1><p style=\"min-height:1.5em\">New York City, NY, or CA • Reports to SVP of Marketing and Growth<br /><br /></p><h2>About Doctronic</h2><p style=\"min-height:1.5em\">Doctronic is the first AI legally authorized to practice medicine. We are processing millions of consultations monthly with 99%+ treatment plan accuracy validated by board-certified clinicians.<br /><br /></p><h2>About the role</h2><p style=\"min-height:1.5em\">As the paid media manager, you will own paid acquisition across every channel we run: Google, Meta, TikTok, CTV, direct mail, and other channels. This is an individual contributor role with real channel ownership. You'll craft and execute the strategy for how the channels are structured, tested, and scaled, and work with internal and external creative teams to guide creative development. Working with our analytics lead, you'll dig for insights, and provide detailed reporting to the leadership team.<br /><br /></p><h2>What you'll do</h2><h3>Run and scale paid efforts</h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own strategy and execution across our live channels, including account and campaign structure, budgets, bidding, and ongoing optimization to achieve business goals</p></li><li><p style=\"min-height:1.5em\">Devise and drive ongoing experimentation that generates actionable learnings and helps us find new growth opportunities</p></li><li><p style=\"min-height:1.5em\">Work inside health-category, HIPAA-compliant limits on tracking and targeting, and partner with marketing engineering on what can be measured with privacy as priority</p></li><li><p style=\"min-height:1.5em\">Propose strategic and novel ways to diversify our channel mix. Then execute and scale</p></li></ul><h3>Guide the creative</h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Write the briefs that tell our internal and external creative teams what each channel needs next, then share results to inspire the next round of creative</p></li><li><p style=\"min-height:1.5em\">Own the testing structure that isolates variables and applies learnings to future work</p></li><li><p style=\"min-height:1.5em\">Ensure all creative passes clinical review</p></li></ul><h3>Own reporting &amp; budget</h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">In partnership with our analytics lead, you’ll own ongoing reporting on our paid efforts, including incrementality testing</p></li><li><p style=\"min-height:1.5em\">Recommend budgets grounded in data to increase our rate of growth<br /><br /></p></li></ul><h2>Who you are</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">7+ years running paid acquisition across SEM, paid social, and other channels, with direct budget ownership, including at least one channel you took from zero to material scale</p></li><li><p style=\"min-height:1.5em\">Hands on keyboard in at least two of Google, Meta, TikTok, connected TV, and direct mail, and eagerness to quickly learn those you don't have experience with</p></li><li><p style=\"min-height:1.5em\">Strong analytical capabilities. While we have an analytics team, you should be able to run the numbers yourself</p></li><li><p style=\"min-height:1.5em\">You’re adept at how AI can help media planning, buying, and optimization, and excited by developing new tools to improve the impact of your efforts</p></li><li><p style=\"min-height:1.5em\">Comfortable in a fast-paced, often ambiguous environment, and deploying increasingly large budgets</p></li><li><p style=\"min-height:1.5em\">A direct communicator who readily shares informed recommendations<br /><br /></p></li></ul><h2>Nice to have</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Consumer health, telehealth, or another regulated category where you’ve been restricted in terms of what you can say and who you can reach</p></li><li><p style=\"min-height:1.5em\">Enough fluency in a BI tool (and/or Claude) to answer your own questions without filing a ticket<br /><br /></p></li></ul><h2>What we offer</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Competitive comp</strong> Salary + Equity — you grow with us</p></li><li><p style=\"min-height:1.5em\"><strong>Flexible time off</strong> We trust you to manage your time</p></li><li><p style=\"min-height:1.5em\"><strong>Hybrid in New York City or remote in California</strong> working directly alongside the SVP of Marketing and Growth and both co-CEOs</p></li><li><p style=\"min-height:1.5em\"><strong>Parental Leave</strong> 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parents</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Reports to: SVP of Marketing and Growth Location: New York City, NY (Hybrid) or CA (Remote)</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Doctronic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</p><p style=\"min-height:1.5em\"></p>","descriptionPlain":"PAID MEDIA MANAGER\n\nNew York City, NY, or CA • Reports to SVP of Marketing and Growth\n\n\n\n\nABOUT DOCTRONIC\n\nDoctronic is the first AI legally authorized to practice medicine. We are processing millions of consultations monthly with 99%+ treatment plan accuracy validated by board-certified clinicians.\n\n\n\n\nABOUT THE ROLE\n\nAs the paid media manager, you will own paid acquisition across every channel we run: Google, Meta, TikTok, CTV, direct mail, and other channels. This is an individual contributor role with real channel ownership. You'll craft and execute the strategy for how the channels are structured, tested, and scaled, and work with internal and external creative teams to guide creative development. Working with our analytics lead, you'll dig for insights, and provide detailed reporting to the leadership team.\n\n\n\n\nWHAT YOU'LL DO\n\n\nRUN AND SCALE PAID EFFORTS\n\n - Own strategy and execution across our live channels, including account and campaign structure, budgets, bidding, and ongoing optimization to achieve business goals\n\n - Devise and drive ongoing experimentation that generates actionable learnings and helps us find new growth opportunities\n\n - Work inside health-category, HIPAA-compliant limits on tracking and targeting, and partner with marketing engineering on what can be measured with privacy as priority\n\n - Propose strategic and novel ways to diversify our channel mix. Then execute and scale\n\n\nGUIDE THE CREATIVE\n\n - Write the briefs that tell our internal and external creative teams what each channel needs next, then share results to inspire the next round of creative\n\n - Own the testing structure that isolates variables and applies learnings to future work\n\n - Ensure all creative passes clinical review\n\n\nOWN REPORTING & BUDGET\n\n - In partnership with our analytics lead, you’ll own ongoing reporting on our paid efforts, including incrementality testing\n\n - Recommend budgets grounded in data to increase our rate of growth\n   \n   \n\n\nWHO YOU ARE\n\n - 7+ years running paid acquisition across SEM, paid social, and other channels, with direct budget ownership, including at least one channel you took from zero to material scale\n\n - Hands on keyboard in at least two of Google, Meta, TikTok, connected TV, and direct mail, and eagerness to quickly learn those you don't have experience with\n\n - Strong analytical capabilities. While we have an analytics team, you should be able to run the numbers yourself\n\n - You’re adept at how AI can help media planning, buying, and optimization, and excited by developing new tools to improve the impact of your efforts\n\n - Comfortable in a fast-paced, often ambiguous environment, and deploying increasingly large budgets\n\n - A direct communicator who readily shares informed recommendations\n   \n   \n\n\nNICE TO HAVE\n\n - Consumer health, telehealth, or another regulated category where you’ve been restricted in terms of what you can say and who you can reach\n\n - Enough fluency in a BI tool (and/or Claude) to answer your own questions without filing a ticket\n   \n   \n\n\nWHAT WE OFFER\n\n - Competitive comp Salary + Equity — you grow with us\n\n - Flexible time off We trust you to manage your time\n\n - Hybrid in New York City or remote in California working directly alongside the SVP of Marketing and Growth and both co-CEOs\n\n - Parental Leave 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parents\n\n\n\nReports to: SVP of Marketing and Growth Location: New York City, NY (Hybrid) or CA (Remote)\n\n\n\nDoctronic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.\n\n","compensation":{"compensationTierSummary":"$135K – $185K • Offers Equity","scrapeableCompensationSalarySummary":"$135K - $185K","compensationTiers":[{"id":"c619851e-158f-4d4c-aa3c-97b676bd078d","tierSummary":"$135K – $185K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"c95f2f2e-1780-4cd0-a671-8a06402d3d0e","summary":"$135K – $185K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":135000,"maxValue":185000},{"id":"4312ad57-30cb-4f9f-8cd3-8d03328ed433","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":135000,"maxValue":185000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"94f91faa-4608-4804-9c52-508c20dfba54","title":"Partnerships Operations Manager","department":"Partnerships","team":"Partnerships","employmentType":"FullTime","location":"New York City","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-06T10:54:56.413+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/94f91faa-4608-4804-9c52-508c20dfba54","applyUrl":"https://jobs.ashbyhq.com/doctronic/94f91faa-4608-4804-9c52-508c20dfba54/application","descriptionHtml":"<h1>Doctronic | Partnerships</h1><h2>Partnerships Operations Manager</h2><p style=\"min-height:1.5em\"><strong>New York City, NY • Reports to SVP of Partnerships</strong></p><div style=\"min-height:1.2em;margin-top:0px;margin-bottom:0px\"> </div><div style=\"min-height:1.2em;margin-top:0px;margin-bottom:0px\"> </div><h3>About Doctronic</h3><p style=\"min-height:1.5em\">Doctronic is the first AI legally authorized to practice medicine. We are processing millions of consultations monthly with 99%+ treatment plan accuracy validated by board-certified clinicians. As our partnership portfolio grows, we're building the operational backbone to make sure every deal we sign is a deal we deliver on.<br /></p><h3>About the Role</h3><p style=\"min-height:1.5em\">We're looking for a Partnerships Operations Manager to serve as a key organizational player on our post-sales partnerships team. Your job is simple to state and hard to do well: make sure our signed partnerships succeed. That means keeping partners, internal stakeholders, and cross-functional teams aligned, organized, and moving toward the deliverables we promised. You'll sit in the room where decisions get made, form your own point of view, and be trusted to keep everyone on track, from deal kickoff through ongoing customer success.<br /><br /></p><h3>What You'll Do</h3><p style=\"min-height:1.5em\"><strong>Partner &amp; Stakeholder Management</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Serve as a day-to-day point of contact for external partners, building relationships that make Doctronic easy and reliable to work with</p></li><li><p style=\"min-height:1.5em\">Manage key internal and external stakeholders, keeping expectations clear on both sides</p></li><li><p style=\"min-height:1.5em\">Prepare materials, decks, and briefings that represent Doctronic well in front of partners</p></li><li><p style=\"min-height:1.5em\">Attend partner and internal meetings, contribute a real point of view, and drive outcomes rather than just take notes</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Cross-Functional Coordination</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Coordinate with clinical, marketing, operations, finance, and product/engineering to ensure we deliver on every commitment made to a partner</p></li><li><p style=\"min-height:1.5em\">Track deliverables across teams and flag risks to timelines before they become problems</p></li><li><p style=\"min-height:1.5em\">Act as the connective tissue between partnership commitments and the teams responsible for executing them</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Program &amp; Project Infrastructure</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Build and maintain the systems that keep partnerships organized: kanban and Linear boards, shared Slack channels, and Figma files</p></li><li><p style=\"min-height:1.5em\">Own the operational cadence for each partnership: standups, syncs, and follow-through on action items</p></li><li><p style=\"min-height:1.5em\">Bring structure to ambiguity, favoring durable systems over one-off fixes</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Customer Success &amp; Reporting</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own post-launch customer success for partnerships, including recurring partner success meetings</p></li><li><p style=\"min-height:1.5em\">Build and send consistent, accurate metrics reporting to partners on an ongoing basis</p></li><li><p style=\"min-height:1.5em\">Monitor partner health after launch and escalate early when a relationship needs attention<br /><br /></p></li></ul><h3>Who You Are</h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">5-7 years of professional experience, ideally spanning partnerships, business operations, program management, or account/customer success in a startup or high-growth environment</p></li><li><p style=\"min-height:1.5em\">A proven track record managing complex, multi-stakeholder relationships both internally and externally</p></li><li><p style=\"min-height:1.5em\">Highly organized and process-minded: you build systems, not workarounds</p></li><li><p style=\"min-height:1.5em\">A clear, confident communicator who can hold their own in a room with partners and executives</p></li><li><p style=\"min-height:1.5em\">Comfortable owning a wide scope of work independently, with a bias toward action</p></li><li><p style=\"min-height:1.5em\">Fluent with organizational and collaboration tools (Linear, kanban boards, Slack, Figma, or similar)</p></li><li><p style=\"min-height:1.5em\">Detail-oriented, with high standards for follow-through on deliverables and metrics</p></li><li><p style=\"min-height:1.5em\">Comfortable navigating ambiguity and building structure in a fast-moving environment</p></li><li><p style=\"min-height:1.5em\">Healthcare, health tech, or digital health experience is a plus, but not required<br /><br /></p></li></ul><h3>Compensation &amp; Benefits</h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">$125k-$175k base salary + equity</p></li><li><p style=\"min-height:1.5em\">Hybrid role in New York City, working directly alongside our SVP of Partnerships</p></li><li><p style=\"min-height:1.5em\">The chance to build the operational infrastructure behind Doctronic's partnerships as we scale</p></li><li><p style=\"min-height:1.5em\">Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parents</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Reports to:</strong> SVP of Partnerships <strong>Location:</strong> New York City | Hybrid</p>","descriptionPlain":"DOCTRONIC | PARTNERSHIPS\n\n\nPARTNERSHIPS OPERATIONS MANAGER\n\nNew York City, NY • Reports to SVP of Partnerships\n\n \n \n\n\nABOUT DOCTRONIC\n\nDoctronic is the first AI legally authorized to practice medicine. We are processing millions of consultations monthly with 99%+ treatment plan accuracy validated by board-certified clinicians. As our partnership portfolio grows, we're building the operational backbone to make sure every deal we sign is a deal we deliver on.\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Partnerships Operations Manager to serve as a key organizational player on our post-sales partnerships team. Your job is simple to state and hard to do well: make sure our signed partnerships succeed. That means keeping partners, internal stakeholders, and cross-functional teams aligned, organized, and moving toward the deliverables we promised. You'll sit in the room where decisions get made, form your own point of view, and be trusted to keep everyone on track, from deal kickoff through ongoing customer success.\n\n\n\n\nWHAT YOU'LL DO\n\nPartner & Stakeholder Management\n\n - Serve as a day-to-day point of contact for external partners, building relationships that make Doctronic easy and reliable to work with\n\n - Manage key internal and external stakeholders, keeping expectations clear on both sides\n\n - Prepare materials, decks, and briefings that represent Doctronic well in front of partners\n\n - Attend partner and internal meetings, contribute a real point of view, and drive outcomes rather than just take notes\n\n\n\nCross-Functional Coordination\n\n - Coordinate with clinical, marketing, operations, finance, and product/engineering to ensure we deliver on every commitment made to a partner\n\n - Track deliverables across teams and flag risks to timelines before they become problems\n\n - Act as the connective tissue between partnership commitments and the teams responsible for executing them\n\n\n\nProgram & Project Infrastructure\n\n - Build and maintain the systems that keep partnerships organized: kanban and Linear boards, shared Slack channels, and Figma files\n\n - Own the operational cadence for each partnership: standups, syncs, and follow-through on action items\n\n - Bring structure to ambiguity, favoring durable systems over one-off fixes\n\n\n\nCustomer Success & Reporting\n\n - Own post-launch customer success for partnerships, including recurring partner success meetings\n\n - Build and send consistent, accurate metrics reporting to partners on an ongoing basis\n\n - Monitor partner health after launch and escalate early when a relationship needs attention\n   \n   \n\n\nWHO YOU ARE\n\n - 5-7 years of professional experience, ideally spanning partnerships, business operations, program management, or account/customer success in a startup or high-growth environment\n\n - A proven track record managing complex, multi-stakeholder relationships both internally and externally\n\n - Highly organized and process-minded: you build systems, not workarounds\n\n - A clear, confident communicator who can hold their own in a room with partners and executives\n\n - Comfortable owning a wide scope of work independently, with a bias toward action\n\n - Fluent with organizational and collaboration tools (Linear, kanban boards, Slack, Figma, or similar)\n\n - Detail-oriented, with high standards for follow-through on deliverables and metrics\n\n - Comfortable navigating ambiguity and building structure in a fast-moving environment\n\n - Healthcare, health tech, or digital health experience is a plus, but not required\n   \n   \n\n\nCOMPENSATION & BENEFITS\n\n - $125k-$175k base salary + equity\n\n - Hybrid role in New York City, working directly alongside our SVP of Partnerships\n\n - The chance to build the operational infrastructure behind Doctronic's partnerships as we scale\n\n - Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parents\n\n\n\nReports to: SVP of Partnerships Location: New York City | Hybrid","compensation":{"compensationTierSummary":"$125K – $175K • Offers Equity","scrapeableCompensationSalarySummary":"$125K - $175K","compensationTiers":[{"id":"fe93402e-3c7d-4ee2-92f9-63f4f066f0ae","tierSummary":"$125K – $175K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"bb0a08a1-a82d-42f5-9254-bc0acd1f28d5","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"c48ae5b2-eeb4-4eda-8157-3caa6f48ffa5","summary":"$125K – $175K","compensationType":"Salary","interval":"1 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City"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/27a0e05a-c336-4daf-92bf-0e7961c4f2ae","applyUrl":"https://jobs.ashbyhq.com/doctronic/27a0e05a-c336-4daf-92bf-0e7961c4f2ae/application","descriptionHtml":"<h2>The Role</h2><p style=\"min-height:1.5em\">You will be Doctronic's first dedicated data engineer, and you will own the plumbing end to end: how data moves from our production systems into our lakehouse and warehouse, how it gets transformed into trusted, documented tables, and who can access what.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">This role serves every team in the company: AI engineering, product, finance, partnerships, and data to name a few.</p><p style=\"min-height:1.5em\"></p><h2>What You'll Do</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Build reliable, monitored CDC pipelines from our production databases (MariaDB, PostgreSQL, MongoDB) into our S3 + Iceberg lake and Snowflake</p></li><li><p style=\"min-height:1.5em\">Stand up a transformation layer (e.g. dbt) on Snowflake so core business metrics (visits, bookings, revenue, retention) come from tested, version-controlled models</p></li><li><p style=\"min-height:1.5em\">Select and implement an orchestration tool so pipelines and dashboard refreshes run automatically, with alerting when they break</p></li><li><p style=\"min-height:1.5em\">Design and enforce the access control model for patient data: row/column-level PHI restrictions, HIPAA Safe Harbor compliance, anonymization pipelines, and account deletion workflows</p></li><li><p style=\"min-height:1.5em\">Establish a single governed copy of production data that analytics, finance, and the AI team all read from</p></li><li><p style=\"min-height:1.5em\">Support the AI team's data needs for model training</p></li><li><p style=\"min-height:1.5em\">Design and build a best-practice warehouse architecture with clean raw, transformed, and business-ready layers powering our executive dashboards</p></li></ul><p style=\"min-height:1.5em\"></p><h2>What We're Looking For</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">5+ years of data engineering experience, including ownership of production data platforms end to end</p></li><li><p style=\"min-height:1.5em\">Strong SQL and Python, with experience building and operating ELT/CDC pipelines (Fivetran, Airbyte, or similar)</p></li><li><p style=\"min-height:1.5em\">Hands-on experience with a modern lakehouse/warehouse stack: S3, Apache Iceberg, a catalog layer, and Snowflake or an equivalent warehouse</p></li><li><p style=\"min-height:1.5em\">Experience with transformation frameworks (dbt or similar) and orchestration tools (Airflow, Dagster, Glue workflows, or similar)</p></li><li><p style=\"min-height:1.5em\">Solid AWS fundamentals: IAM, Lambda, Kinesis, Glue</p></li><li><p style=\"min-height:1.5em\">A pragmatic, reliability-first mindset</p></li><li><p style=\"min-height:1.5em\">Comfort operating with high autonomy and minimal specs in a flat, engineering-first organization</p></li><li><p style=\"min-height:1.5em\">Strong communication skills; you'll work directly with product, marketing, finance, and AI stakeholders</p></li></ul><p style=\"min-height:1.5em\"></p><h2>Nice to Have</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience with HIPAA/PHI data governance, anonymization, or healthcare data</p></li><li><p style=\"min-height:1.5em\">Experience with event/behavioral data pipelines (ClickHouse, GTM/server-side tracking, CDPs)</p></li><li><p style=\"min-height:1.5em\">Familiarity with ML data workflows: feature pipelines, training datasets, notebook environments (SageMaker, Databricks, Jupyter)</p></li><li><p style=\"min-height:1.5em\">Experience with BI tooling (Metabase or similar) and semantic/metrics layers</p></li><li><p style=\"min-height:1.5em\">Prior experience as the first or only data engineer at a startup</p></li></ul><p style=\"min-height:1.5em\"></p><h2>Compensation &amp; Benefits</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Base salary range: $200,000 to $275,000 annually, depending on experience, plus meaningful equity</p></li><li><p style=\"min-height:1.5em\">Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parent</p></li></ul><p style=\"min-height:1.5em\"></p>","descriptionPlain":"THE ROLE\n\nYou will be Doctronic's first dedicated data engineer, and you will own the plumbing end to end: how data moves from our production systems into our lakehouse and warehouse, how it gets transformed into trusted, documented tables, and who can access what.\n\n\n\nThis role serves every team in the company: AI engineering, product, finance, partnerships, and data to name a few.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build reliable, monitored CDC pipelines from our production databases (MariaDB, PostgreSQL, MongoDB) into our S3 + Iceberg lake and Snowflake\n\n - Stand up a transformation layer (e.g. dbt) on Snowflake so core business metrics (visits, bookings, revenue, retention) come from tested, version-controlled models\n\n - Select and implement an orchestration tool so pipelines and dashboard refreshes run automatically, with alerting when they break\n\n - Design and enforce the access control model for patient data: row/column-level PHI restrictions, HIPAA Safe Harbor compliance, anonymization pipelines, and account deletion workflows\n\n - Establish a single governed copy of production data that analytics, finance, and the AI team all read from\n\n - Support the AI team's data needs for model training\n\n - Design and build a best-practice warehouse architecture with clean raw, transformed, and business-ready layers powering our executive dashboards\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years of data engineering experience, including ownership of production data platforms end to end\n\n - Strong SQL and Python, with experience building and operating ELT/CDC pipelines (Fivetran, Airbyte, or similar)\n\n - Hands-on experience with a modern lakehouse/warehouse stack: S3, Apache Iceberg, a catalog layer, and Snowflake or an equivalent warehouse\n\n - Experience with transformation frameworks (dbt or similar) and orchestration tools (Airflow, Dagster, Glue workflows, or similar)\n\n - Solid AWS fundamentals: IAM, Lambda, Kinesis, Glue\n\n - A pragmatic, reliability-first mindset\n\n - Comfort operating with high autonomy and minimal specs in a flat, engineering-first organization\n\n - Strong communication skills; you'll work directly with product, marketing, finance, and AI stakeholders\n\n\n\n\nNICE TO HAVE\n\n - Experience with HIPAA/PHI data governance, anonymization, or healthcare data\n\n - Experience with event/behavioral data pipelines (ClickHouse, GTM/server-side tracking, CDPs)\n\n - Familiarity with ML data workflows: feature pipelines, training datasets, notebook environments (SageMaker, Databricks, Jupyter)\n\n - Experience with BI tooling (Metabase or similar) and semantic/metrics layers\n\n - Prior experience as the first or only data engineer at a startup\n\n\n\n\nCOMPENSATION & BENEFITS\n\n - Base salary range: $200,000 to $275,000 annually, depending on experience, plus meaningful equity\n\n - Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parent\n\n","compensation":{"compensationTierSummary":"$200K – $275K • Offers Equity","scrapeableCompensationSalarySummary":"$200K - $275K","compensationTiers":[{"id":"49fb4bc9-65c7-477e-9e05-b4e5c30c5e6e","tierSummary":"$200K – $275K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"7b8aa79b-81e3-47ea-a8c3-e91abd924bda","summary":"$200K – $275K","compensationType":"Salary","interval":"1 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City"}}}],"publishedAt":"2026-09-09T19:59:40.589+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/b144d470-a8e4-4e02-bbef-baab7aec2a64","applyUrl":"https://jobs.ashbyhq.com/doctronic/b144d470-a8e4-4e02-bbef-baab7aec2a64/application","descriptionHtml":"<h1>Senior Product Engineer (Full Stack)</h1><h2>Doctronic | New York City or San Francisco (hybrid) | Full-time</h2><p style=\"min-height:1.5em\"></p><h2>The role</h2><p style=\"min-height:1.5em\">Doctronic gives people free, private access to AI health guidance and affordable visits with human physicians. Millions of consultations already flow through the product.</p><p style=\"min-height:1.5em\">We are hiring a Senior Product Engineer to build features used by patients, clinicians, and healthcare partners.</p><p style=\"min-height:1.5em\">This is a full-stack role. We do not split product engineering into frontend and backend lanes. A project may require a patient workflow in Next.js, a FastAPI endpoint, a new data model, and changes to how the service runs in production. You will work across those boundaries to ship the complete feature.</p><p style=\"min-height:1.5em\">We expect product engineers to work AI-natively. Coding agents are part of daily delivery, not an occasional assistant. You will use them to explore code, plan changes, implement, test, review, debug, and automate repeated work. You remain responsible for product decisions, system design, and the correctness of every change.</p><p style=\"min-height:1.5em\"></p><h2>What you will do</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Build patient experiences for onboarding, AI consultations, health records, prescriptions, physician visits, and follow-up care.</p></li><li><p style=\"min-height:1.5em\">Connect AI consultations with clinical workflows so patients can move from guidance to treatment.</p></li><li><p style=\"min-height:1.5em\">Turn new clinical and AI capabilities into clear product features with appropriate safeguards.</p></li><li><p style=\"min-height:1.5em\">Build tools and integrations for clinicians and healthcare partners.</p></li><li><p style=\"min-height:1.5em\">Improve performance, accessibility, privacy, and reliability across web and mobile.</p></li><li><p style=\"min-height:1.5em\">Use agents to run parallel investigations, shorten the path from idea to tested production code, and turn repeated work into shared automation.</p></li><li><p style=\"min-height:1.5em\">Review product usage and feedback after launch, then improve the feature.</p></li></ul><p style=\"min-height:1.5em\"></p><h2>What we are looking for</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience shipping user-facing products across frontend and backend systems.</p></li><li><p style=\"min-height:1.5em\">Strong skills in at least one part of the stack and the ability to work effectively in the rest.</p></li><li><p style=\"min-height:1.5em\">Good product judgment and attention to interface quality.</p></li><li><p style=\"min-height:1.5em\">The ability to define and deliver a solution when the initial requirements are incomplete.</p></li><li><p style=\"min-height:1.5em\">Daily experience directing coding agents. You know how to supply context, split work, verify results, and decide when to work directly.</p></li><li><p style=\"min-height:1.5em\">A habit of turning manual engineering work into scripts, tools, or reusable agent workflows.</p></li><li><p style=\"min-height:1.5em\">Sound decisions about privacy, security, accessibility, reliability, and maintainability.</p></li><li><p style=\"min-height:1.5em\">Clear communication with clinical, product, design, AI, and operations teams.</p></li></ul><p style=\"min-height:1.5em\">Many candidates will have 5+ years of professional experience. We care more about the products you shipped and your role in shipping them than a specific degree or exact tool match.</p><p style=\"min-height:1.5em\">Experience in healthcare, fintech, AI products, or another regulated field is useful but not required.</p><p style=\"min-height:1.5em\"></p><h2>Production stack</h2><p style=\"min-height:1.5em\">Our product includes a Next.js, React, and TypeScript web application; native iOS and Android apps written in Swift and Kotlin; and Python and FastAPI services. Backend systems use MariaDB, SQLAlchemy, Redis, and Celery. Services run in Docker on AWS ECS and integrate with AI providers, telehealth systems, healthcare APIs, and FHIR-based workflows.</p><p style=\"min-height:1.5em\">You do not need experience with every part of the stack, but you should be able to learn unfamiliar systems and ship across product and backend code.</p><p style=\"min-height:1.5em\"></p><h2>How we work</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">A small, senior engineering team with high autonomy.</p></li><li><p style=\"min-height:1.5em\">Engineers take projects from initial definition through launch and production support.</p></li><li><p style=\"min-height:1.5em\">Short planning cycles and frequent releases.</p></li><li><p style=\"min-height:1.5em\">High standards for patient safety, privacy, and code quality.</p></li></ul><p style=\"min-height:1.5em\"></p><h2>Compensation and benefits</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">New York City and San Francisco base salary: $180,000 to $240,000, plus equity.</p></li><li><p style=\"min-height:1.5em\">Benefits reimbursement.</p></li></ul><p style=\"min-height:1.5em\"></p><h2>About Doctronic</h2><p style=\"min-height:1.5em\">Doctronic is the #1 AI Doctor and the first AI legally authorized to practice medicine. We process millions of consultations monthly, with 99%+ treatment-plan accuracy validated by board-certified clinicians. </p><p style=\"min-height:1.5em\">At <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://doctronic.ai\">doctronic.ai</a>, people can receive free, anonymous, HIPAA-compliant AI consultations and connect with human physicians for affordable visits, available 24/7 across all 50 states.</p><p style=\"min-height:1.5em\">Doctronic raised its seed, Series A, and Series B rounds between February 2025 and January 2026, with backing from Union Square Ventures, Lightspeed Venture Partners, and Abstract.</p>","descriptionPlain":"SENIOR PRODUCT ENGINEER (FULL STACK)\n\n\nDOCTRONIC | NEW YORK CITY OR SAN FRANCISCO (HYBRID) | FULL-TIME\n\n\n\n\nTHE ROLE\n\nDoctronic gives people free, private access to AI health guidance and affordable visits with human physicians. Millions of consultations already flow through the product.\n\nWe are hiring a Senior Product Engineer to build features used by patients, clinicians, and healthcare partners.\n\nThis is a full-stack role. We do not split product engineering into frontend and backend lanes. A project may require a patient workflow in Next.js, a FastAPI endpoint, a new data model, and changes to how the service runs in production. You will work across those boundaries to ship the complete feature.\n\nWe expect product engineers to work AI-natively. Coding agents are part of daily delivery, not an occasional assistant. You will use them to explore code, plan changes, implement, test, review, debug, and automate repeated work. You remain responsible for product decisions, system design, and the correctness of every change.\n\n\n\n\nWHAT YOU WILL DO\n\n - Build patient experiences for onboarding, AI consultations, health records, prescriptions, physician visits, and follow-up care.\n\n - Connect AI consultations with clinical workflows so patients can move from guidance to treatment.\n\n - Turn new clinical and AI capabilities into clear product features with appropriate safeguards.\n\n - Build tools and integrations for clinicians and healthcare partners.\n\n - Improve performance, accessibility, privacy, and reliability across web and mobile.\n\n - Use agents to run parallel investigations, shorten the path from idea to tested production code, and turn repeated work into shared automation.\n\n - Review product usage and feedback after launch, then improve the feature.\n\n\n\n\nWHAT WE ARE LOOKING FOR\n\n - Experience shipping user-facing products across frontend and backend systems.\n\n - Strong skills in at least one part of the stack and the ability to work effectively in the rest.\n\n - Good product judgment and attention to interface quality.\n\n - The ability to define and deliver a solution when the initial requirements are incomplete.\n\n - Daily experience directing coding agents. You know how to supply context, split work, verify results, and decide when to work directly.\n\n - A habit of turning manual engineering work into scripts, tools, or reusable agent workflows.\n\n - Sound decisions about privacy, security, accessibility, reliability, and maintainability.\n\n - Clear communication with clinical, product, design, AI, and operations teams.\n\nMany candidates will have 5+ years of professional experience. We care more about the products you shipped and your role in shipping them than a specific degree or exact tool match.\n\nExperience in healthcare, fintech, AI products, or another regulated field is useful but not required.\n\n\n\n\nPRODUCTION STACK\n\nOur product includes a Next.js, React, and TypeScript web application; native iOS and Android apps written in Swift and Kotlin; and Python and FastAPI services. Backend systems use MariaDB, SQLAlchemy, Redis, and Celery. Services run in Docker on AWS ECS and integrate with AI providers, telehealth systems, healthcare APIs, and FHIR-based workflows.\n\nYou do not need experience with every part of the stack, but you should be able to learn unfamiliar systems and ship across product and backend code.\n\n\n\n\nHOW WE WORK\n\n - A small, senior engineering team with high autonomy.\n\n - Engineers take projects from initial definition through launch and production support.\n\n - Short planning cycles and frequent releases.\n\n - High standards for patient safety, privacy, and code quality.\n\n\n\n\nCOMPENSATION AND BENEFITS\n\n - New York City and San Francisco base salary: $180,000 to $240,000, plus equity.\n\n - Benefits reimbursement.\n\n\n\n\nABOUT DOCTRONIC\n\nDoctronic is the #1 AI Doctor and the first AI legally authorized to practice medicine. We process millions of consultations monthly, with 99%+ treatment-plan accuracy validated by board-certified clinicians. \n\nAt doctronic.ai http://doctronic.ai, people can receive free, anonymous, HIPAA-compliant AI consultations and connect with human physicians for affordable visits, available 24/7 across all 50 states.\n\nDoctronic raised its seed, Series A, and Series B rounds between February 2025 and January 2026, with backing from Union Square Ventures, Lightspeed Venture Partners, and Abstract.","compensation":{"compensationTierSummary":"$180K – $240K • Offers Equity","scrapeableCompensationSalarySummary":"$180K - $240K","compensationTiers":[{"id":"59139373-8099-4463-bbf8-0174d22601f3","tierSummary":"$180K – $240K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"1d7f80bc-7f89-4b3c-86c8-18f8383a569a","summary":"$180K – $240K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":240000},{"id":"27a4846b-d3dd-47fd-91a7-73b325cb5033","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":240000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"87a734a6-bf19-4843-a575-4838c0ff3726","title":"Senior Platform Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-09-09T18:48:23.603+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/87a734a6-bf19-4843-a575-4838c0ff3726","applyUrl":"https://jobs.ashbyhq.com/doctronic/87a734a6-bf19-4843-a575-4838c0ff3726/application","descriptionHtml":"<h1>Senior Platform Engineer</h1><h2>Doctronic | San Francisco | On-site | Full time</h2><p style=\"min-height:1.5em\"></p><h2>The role</h2><p style=\"min-height:1.5em\">Doctronic gives people free, private access to AI health guidance and affordable visits with human physicians. Millions of consultations already depend on our production systems.</p><p style=\"min-height:1.5em\">We are hiring a Senior Platform Engineer to improve the systems used to build, deploy, observe, and operate Doctronic. This role owns engineering enablement, including the environment in which engineers and coding agents understand the codebase, make changes, validate them, and ship.</p><p style=\"min-height:1.5em\"></p><h2>What you will do</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Improve the reliability and operation of production services on AWS ECS.</p></li><li><p style=\"min-height:1.5em\">Build shared infrastructure, service templates, and delivery workflows that reduce the time from code to production.</p></li><li><p style=\"min-height:1.5em\">Improve local development, CI, test, and deployment workflows so engineers can work without platform support for routine tasks.</p></li><li><p style=\"min-height:1.5em\">Build agent-ready repositories, documentation, and interfaces so coding agents can complete useful tasks with less supervision.</p></li><li><p style=\"min-height:1.5em\">Automate recurring work such as service setup, dependency changes, release checks, and incident triage.</p></li><li><p style=\"min-height:1.5em\">Create guardrails and feedback loops that make agent-produced changes fast to validate and safe to ship.</p></li><li><p style=\"min-height:1.5em\">Give engineers useful logs, metrics, alerts, and service health information.</p></li><li><p style=\"min-height:1.5em\">Define practical standards for incident response, recovery, capacity, and service reliability.</p></li><li><p style=\"min-height:1.5em\">Build security, privacy, and compliance controls into infrastructure and delivery workflows.</p></li><li><p style=\"min-height:1.5em\">Track infrastructure cost and improve efficiency as traffic, data, and AI workloads grow.</p></li><li><p style=\"min-height:1.5em\">Work with product, AI, data, and security engineers to solve production problems.</p></li></ul><p style=\"min-height:1.5em\"></p><h2>What we are looking for</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience building and operating production systems on AWS.</p></li><li><p style=\"min-height:1.5em\">Strong knowledge of containers, infrastructure as code, CI/CD, networking, and observability.</p></li><li><p style=\"min-height:1.5em\">Experience with container orchestration and automated delivery.</p></li><li><p style=\"min-height:1.5em\">Experience improving developer environments, CI performance, service templates, or internal engineering tools.</p></li><li><p style=\"min-height:1.5em\">The ability to write software and automation instead of relying on manual procedures.</p></li><li><p style=\"min-height:1.5em\">Daily experience with coding agents and evidence that you have built tools, context, or workflows that make them more reliable.</p></li><li><p style=\"min-height:1.5em\">Experience measuring or improving engineering throughput, CI time, test quality, or self-service adoption.</p></li><li><p style=\"min-height:1.5em\">Experience diagnosing incidents and making follow-up improvements.</p></li><li><p style=\"min-height:1.5em\">Good judgment about reliability, security, cost, and delivery speed.</p></li><li><p style=\"min-height:1.5em\">Clear written and verbal communication across engineering teams.</p></li><li><p style=\"min-height:1.5em\">Many candidates will have 5+ years of relevant experience. Exact tool overlap is not required if your platform fundamentals are strong.</p></li><li><p style=\"min-height:1.5em\">Experience with AI infrastructure, regulated systems, disaster recovery, or high-traffic applications is useful but not required.</p></li></ul><p style=\"min-height:1.5em\"></p><h2>Technical context</h2><p style=\"min-height:1.5em\">Our infrastructure runs on AWS. We use ECS and ECR for container workloads, Terraform and Terragrunt for infrastructure as code, GitHub Actions for CI/CD, and CloudWatch for monitoring. The broader environment includes RDS, DocumentDB, Redis, S3, CloudFront, Application Load Balancers, IAM, and Secrets Manager. Most automation is written in Python or shell.</p><p style=\"min-height:1.5em\"></p><h2>How we work</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">A small, senior engineering team with high autonomy.</p></li><li><p style=\"min-height:1.5em\">Application teams own the services they ship. Platform makes that ownership easier with shared infrastructure, tools, and standards.</p></li><li><p style=\"min-height:1.5em\">Infrastructure changes are reviewed and managed as code.</p></li><li><p style=\"min-height:1.5em\">High standards for patient safety, privacy, reliability, and code quality.</p></li></ul><p style=\"min-height:1.5em\"></p><h2>Compensation and benefits</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Base salary: $180,000 to $240,000, plus equity.</p></li><li><p style=\"min-height:1.5em\">Benefits reimbursement.</p></li></ul><p style=\"min-height:1.5em\"></p><h2>About Doctronic</h2><p style=\"min-height:1.5em\">Doctronic is the #1 AI Doctor and the first AI legally authorized to practice medicine. We process millions of consultations monthly, with 99%+ treatment-plan accuracy validated by board-certified clinicians. At <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://doctronic.ai\">doctronic.ai</a>, people can receive free, anonymous, HIPAA-compliant AI consultations and connect with human physicians for affordable visits, available 24/7 across all 50 states. Doctronic raised its seed, Series A, and Series B rounds between February 2025 and January 2026, with backing from Union Square Ventures, Lightspeed Venture Partners, and Abstract.</p>","descriptionPlain":"SENIOR PLATFORM ENGINEER\n\n\nDOCTRONIC | SAN FRANCISCO | ON-SITE | FULL TIME\n\n\n\n\nTHE ROLE\n\nDoctronic gives people free, private access to AI health guidance and affordable visits with human physicians. Millions of consultations already depend on our production systems.\n\nWe are hiring a Senior Platform Engineer to improve the systems used to build, deploy, observe, and operate Doctronic. This role owns engineering enablement, including the environment in which engineers and coding agents understand the codebase, make changes, validate them, and ship.\n\n\n\n\nWHAT YOU WILL DO\n\n - Improve the reliability and operation of production services on AWS ECS.\n\n - Build shared infrastructure, service templates, and delivery workflows that reduce the time from code to production.\n\n - Improve local development, CI, test, and deployment workflows so engineers can work without platform support for routine tasks.\n\n - Build agent-ready repositories, documentation, and interfaces so coding agents can complete useful tasks with less supervision.\n\n - Automate recurring work such as service setup, dependency changes, release checks, and incident triage.\n\n - Create guardrails and feedback loops that make agent-produced changes fast to validate and safe to ship.\n\n - Give engineers useful logs, metrics, alerts, and service health information.\n\n - Define practical standards for incident response, recovery, capacity, and service reliability.\n\n - Build security, privacy, and compliance controls into infrastructure and delivery workflows.\n\n - Track infrastructure cost and improve efficiency as traffic, data, and AI workloads grow.\n\n - Work with product, AI, data, and security engineers to solve production problems.\n\n\n\n\nWHAT WE ARE LOOKING FOR\n\n - Experience building and operating production systems on AWS.\n\n - Strong knowledge of containers, infrastructure as code, CI/CD, networking, and observability.\n\n - Experience with container orchestration and automated delivery.\n\n - Experience improving developer environments, CI performance, service templates, or internal engineering tools.\n\n - The ability to write software and automation instead of relying on manual procedures.\n\n - Daily experience with coding agents and evidence that you have built tools, context, or workflows that make them more reliable.\n\n - Experience measuring or improving engineering throughput, CI time, test quality, or self-service adoption.\n\n - Experience diagnosing incidents and making follow-up improvements.\n\n - Good judgment about reliability, security, cost, and delivery speed.\n\n - Clear written and verbal communication across engineering teams.\n\n - Many candidates will have 5+ years of relevant experience. Exact tool overlap is not required if your platform fundamentals are strong.\n\n - Experience with AI infrastructure, regulated systems, disaster recovery, or high-traffic applications is useful but not required.\n\n\n\n\nTECHNICAL CONTEXT\n\nOur infrastructure runs on AWS. We use ECS and ECR for container workloads, Terraform and Terragrunt for infrastructure as code, GitHub Actions for CI/CD, and CloudWatch for monitoring. The broader environment includes RDS, DocumentDB, Redis, S3, CloudFront, Application Load Balancers, IAM, and Secrets Manager. Most automation is written in Python or shell.\n\n\n\n\nHOW WE WORK\n\n - A small, senior engineering team with high autonomy.\n\n - Application teams own the services they ship. Platform makes that ownership easier with shared infrastructure, tools, and standards.\n\n - Infrastructure changes are reviewed and managed as code.\n\n - High standards for patient safety, privacy, reliability, and code quality.\n\n\n\n\nCOMPENSATION AND BENEFITS\n\n - Base salary: $180,000 to $240,000, plus equity.\n\n - Benefits reimbursement.\n\n\n\n\nABOUT DOCTRONIC\n\nDoctronic is the #1 AI Doctor and the first AI legally authorized to practice medicine. We process millions of consultations monthly, with 99%+ treatment-plan accuracy validated by board-certified clinicians. At doctronic.ai http://doctronic.ai, people can receive free, anonymous, HIPAA-compliant AI consultations and connect with human physicians for affordable visits, available 24/7 across all 50 states. Doctronic raised its seed, Series A, and Series B rounds between February 2025 and January 2026, with backing from Union Square Ventures, Lightspeed Venture Partners, and Abstract.","compensation":{"compensationTierSummary":"$180K – $240K • Offers Equity","scrapeableCompensationSalarySummary":"$180K - $240K","compensationTiers":[{"id":"ea500ddd-19fe-41b7-90bc-f292b8062d27","tierSummary":"$180K – $240K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"c89d8134-c8c1-4ebc-8437-c08378dedc10","summary":"$180K – $240K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":240000},{"id":"f99da2b7-4613-406c-9518-2339483aad76","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":240000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"3e250474-4b78-428f-94dd-efa2cd05bec2","title":"Engineering Manager, Platform","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-09-15T01:50:18.421+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/3e250474-4b78-428f-94dd-efa2cd05bec2","applyUrl":"https://jobs.ashbyhq.com/doctronic/3e250474-4b78-428f-94dd-efa2cd05bec2/application","descriptionHtml":"<h1>Engineering Manager, Platform </h1><h2>Doctronic | New York City or San Francisco (hybrid) | Full-time </h2><p style=\"min-height:1.5em\"></p><h2>The role </h2><p style=\"min-height:1.5em\">Doctronic gives people free, private access to AI health guidance and affordable visits with human physicians. Millions of consultations already depend on our production systems. </p><p style=\"min-height:1.5em\">We are hiring an Engineering Manager to lead the team responsible for the systems used to build, deploy, observe, and operate Doctronic. Your team will improve production reliability and make every engineer more effective. </p><p style=\"min-height:1.5em\">This is a hands-on management role. You will set direction, develop engineers, guide architecture, and contribute directly to platform code and operations. You will be accountable for engineering enablement, reliability, security, and infrastructure cost. </p><p style=\"min-height:1.5em\">We expect engineering leaders to work AI-natively. You will make agents and automation a normal part of planning, implementation, review, debugging, and operations. Your team will improve the context, tooling, validation, and guardrails that help agents complete useful work safely. </p><p style=\"min-height:1.5em\"></p><h2>What you will do </h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Lead and grow a team of platform engineers through clear goals, feedback, coaching, and high standards. </p></li><li><p style=\"min-height:1.5em\">Set priorities with application, AI, data, security, and product teams based on engineering impact. </p></li><li><p style=\"min-height:1.5em\">Improve the reliability, scalability, and operation of production services. Reduce the time and effort required to build, test, deploy, and operate software. </p></li><li><p style=\"min-height:1.5em\">Guide key technical decisions and contribute directly to platform code, infrastructure, and automation. </p></li><li><p style=\"min-height:1.5em\">Build an AI-native engineering environment with agent-ready repositories, clear interfaces, automated validation, and reusable workflows. </p></li><li><p style=\"min-height:1.5em\">Improve how agent work is scoped, supplied with context, verified, and turned into reusable automation. </p></li><li><p style=\"min-height:1.5em\">Track delivery speed, CI performance, reliability, self-service adoption, and operational load. </p></li><li><p style=\"min-height:1.5em\">Lead incident response and ensure that follow-up work produces durable improvements. </p></li><li><p style=\"min-height:1.5em\">Hire strong engineers and build a team that can take on broader scope as Doctronic grows. </p></li></ul><p style=\"min-height:1.5em\"></p><h2>What we are looking for </h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience managing and developing platform, infrastructure, or developer productivity engineers. </p></li><li><p style=\"min-height:1.5em\">A strong technical background and current ability to contribute production code, infrastructure, and automation. </p></li><li><p style=\"min-height:1.5em\">The judgment to evaluate architecture, reliability, security, cost, and delivery tradeoffs. </p></li><li><p style=\"min-height:1.5em\">A record of turning ambiguous company needs into clear priorities and shipped improvements. </p></li><li><p style=\"min-height:1.5em\">Experience improving developer environments, CI/CD, observability, service templates, or internal engineering tools. </p></li><li><p style=\"min-height:1.5em\">Daily experience using coding agents and a clear view of where they improve engineering work and where human judgment remains essential. </p></li><li><p style=\"min-height:1.5em\">Evidence that you have improved engineering throughput without lowering quality. </p></li><li><p style=\"min-height:1.5em\">Experience hiring, coaching, giving direct feedback, and helping engineers grow. </p></li><li><p style=\"min-height:1.5em\">Clear communication across engineering and company leadership.</p></li></ul><p style=\"min-height:1.5em\">Many candidates will have eight or more years of engineering experience, including two or more years managing engineers. We care more about the teams and systems you improved than a specific title or exact tool match. </p><p style=\"min-height:1.5em\">Experience with AI infrastructure, regulated systems, disaster recovery, or high-traffic applications is useful but not required. </p><p style=\"min-height:1.5em\"></p><h2>Technical context </h2><p style=\"min-height:1.5em\">Our infrastructure runs on AWS. We use ECS and ECR for container workloads, Terraform and Terragrunt for infrastructure as code, GitHub Actions for CI/CD, and CloudWatch for monitoring. The broader environment includes RDS, DocumentDB, Redis, S3, CloudFront, Application Load Balancers, IAM, and Secrets Manager. Most automation is written in Python or shell. </p><p style=\"min-height:1.5em\"></p><h2>How we work </h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">A small, senior engineering team with high autonomy. </p></li><li><p style=\"min-height:1.5em\">Application teams own the services they ship. </p></li><li><p style=\"min-height:1.5em\">Platform makes that ownership easier with shared infrastructure, tools, and standards. </p></li><li><p style=\"min-height:1.5em\">Managers are responsible for team health, technical quality, and delivery outcomes. </p></li><li><p style=\"min-height:1.5em\">High standards for patient safety, privacy, reliability, and code quality. </p></li></ul><p style=\"min-height:1.5em\"></p><h2>Compensation and benefits </h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">New York City and San Francisco base salary: $200,000 to $300,000, plus equity. </p></li><li><p style=\"min-height:1.5em\">Benefits reimbursement. </p></li></ul><p style=\"min-height:1.5em\"></p><h2>About Doctronic </h2><p style=\"min-height:1.5em\">Doctronic is the #1 AI Doctor and the first AI legally authorized to practice medicine. We process millions of consultations monthly, with 99%+ treatment plan accuracy validated by board-certified clinicians.</p><p style=\"min-height:1.5em\">At <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://doctronic.ai\">doctronic.ai</a>, people can receive free, anonymous, HIPAA-compliant AI consultations and connect with human physicians for affordable visits, available 24/7 across all 50 states. </p><p style=\"min-height:1.5em\">Doctronic raised its seed, Series A, and Series B between February 2025 and January 2026, with backing from Union Square Ventures, Lightspeed Venture Partners, and Abstract</p>","descriptionPlain":"ENGINEERING MANAGER, PLATFORM \n\n\nDOCTRONIC | NEW YORK CITY OR SAN FRANCISCO (HYBRID) | FULL-TIME \n\n\n\n\nTHE ROLE \n\nDoctronic gives people free, private access to AI health guidance and affordable visits with human physicians. Millions of consultations already depend on our production systems. \n\nWe are hiring an Engineering Manager to lead the team responsible for the systems used to build, deploy, observe, and operate Doctronic. Your team will improve production reliability and make every engineer more effective. \n\nThis is a hands-on management role. You will set direction, develop engineers, guide architecture, and contribute directly to platform code and operations. You will be accountable for engineering enablement, reliability, security, and infrastructure cost. \n\nWe expect engineering leaders to work AI-natively. You will make agents and automation a normal part of planning, implementation, review, debugging, and operations. Your team will improve the context, tooling, validation, and guardrails that help agents complete useful work safely. \n\n\n\n\nWHAT YOU WILL DO \n\n - Lead and grow a team of platform engineers through clear goals, feedback, coaching, and high standards. \n\n - Set priorities with application, AI, data, security, and product teams based on engineering impact. \n\n - Improve the reliability, scalability, and operation of production services. Reduce the time and effort required to build, test, deploy, and operate software. \n\n - Guide key technical decisions and contribute directly to platform code, infrastructure, and automation. \n\n - Build an AI-native engineering environment with agent-ready repositories, clear interfaces, automated validation, and reusable workflows. \n\n - Improve how agent work is scoped, supplied with context, verified, and turned into reusable automation. \n\n - Track delivery speed, CI performance, reliability, self-service adoption, and operational load. \n\n - Lead incident response and ensure that follow-up work produces durable improvements. \n\n - Hire strong engineers and build a team that can take on broader scope as Doctronic grows. \n\n\n\n\nWHAT WE ARE LOOKING FOR \n\n - Experience managing and developing platform, infrastructure, or developer productivity engineers. \n\n - A strong technical background and current ability to contribute production code, infrastructure, and automation. \n\n - The judgment to evaluate architecture, reliability, security, cost, and delivery tradeoffs. \n\n - A record of turning ambiguous company needs into clear priorities and shipped improvements. \n\n - Experience improving developer environments, CI/CD, observability, service templates, or internal engineering tools. \n\n - Daily experience using coding agents and a clear view of where they improve engineering work and where human judgment remains essential. \n\n - Evidence that you have improved engineering throughput without lowering quality. \n\n - Experience hiring, coaching, giving direct feedback, and helping engineers grow. \n\n - Clear communication across engineering and company leadership.\n\nMany candidates will have eight or more years of engineering experience, including two or more years managing engineers. We care more about the teams and systems you improved than a specific title or exact tool match. \n\nExperience with AI infrastructure, regulated systems, disaster recovery, or high-traffic applications is useful but not required. \n\n\n\n\nTECHNICAL CONTEXT \n\nOur infrastructure runs on AWS. We use ECS and ECR for container workloads, Terraform and Terragrunt for infrastructure as code, GitHub Actions for CI/CD, and CloudWatch for monitoring. The broader environment includes RDS, DocumentDB, Redis, S3, CloudFront, Application Load Balancers, IAM, and Secrets Manager. Most automation is written in Python or shell. \n\n\n\n\nHOW WE WORK \n\n - A small, senior engineering team with high autonomy. \n\n - Application teams own the services they ship. \n\n - Platform makes that ownership easier with shared infrastructure, tools, and standards. \n\n - Managers are responsible for team health, technical quality, and delivery outcomes. \n\n - High standards for patient safety, privacy, reliability, and code quality. \n\n\n\n\nCOMPENSATION AND BENEFITS \n\n - New York City and San Francisco base salary: $200,000 to $300,000, plus equity. \n\n - Benefits reimbursement. \n\n\n\n\nABOUT DOCTRONIC \n\nDoctronic is the #1 AI Doctor and the first AI legally authorized to practice medicine. We process millions of consultations monthly, with 99%+ treatment plan accuracy validated by board-certified clinicians.\n\nAt doctronic.ai http://doctronic.ai, people can receive free, anonymous, HIPAA-compliant AI consultations and connect with human physicians for affordable visits, available 24/7 across all 50 states. \n\nDoctronic raised its seed, Series A, and Series B between February 2025 and January 2026, with backing from Union Square Ventures, Lightspeed Venture Partners, and Abstract","compensation":{"compensationTierSummary":"$200K – $300K • Offers Equity","scrapeableCompensationSalarySummary":"$200K - $300K","compensationTiers":[{"id":"2235059e-122b-4cfe-a17d-2f5483d60308","tierSummary":"$200K – $300K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"42f7f65f-275f-4fa2-9a07-997fa9c435a7","summary":"$200K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":300000},{"id":"c90e0db9-66fe-4a83-9bbf-7565d9bfbf22","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":300000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"7ce96c8d-5989-497f-b241-06c99e9e5246","title":"Vertical Sales Lead, Health Plans","department":"Partnerships","team":"Partnerships","employmentType":"FullTime","location":"New York City","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-19T13:51:54.648+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/7ce96c8d-5989-497f-b241-06c99e9e5246","applyUrl":"https://jobs.ashbyhq.com/doctronic/7ce96c8d-5989-497f-b241-06c99e9e5246/application","descriptionHtml":"<h2>About Doctronic</h2><p style=\"min-height:1.5em\">Doctronic is the #1 AI doctor. Our AI is free, anonymous and HIPAA-compliant, and it has delivered over 30 million consults to date. In December 2025 we became the first and only AI legally authorized to practice medicine, renewing prescriptions autonomously under Utah's AI Learning Lab, and the first AI ever granted medical malpractice insurance. We are live in all 50 states and DC with AI and human physicians available 24/7, and we have raised $65M through our Series B from Abstract, Lightspeed, Union Square Ventures and others.</p><p style=\"min-height:1.5em\">We are now building the enterprise organization that takes this to health plans, health systems and the wider healthcare ecosystem. This is one of the first senior sales hires on that team.<br /></p><h2>The Role</h2><p style=\"min-height:1.5em\">You will own the health plan vertical end to end: the pipeline, the relationships, the narrative, and the number. Regional and national commercial payers, Medicare Advantage plans, Medicaid managed care organizations, and third-party administrators.</p><p style=\"min-height:1.5em\">This is a fulltime role at a company where the product is genuinely new, so you will spend as much time teaching the market what autonomous clinical AI can do as you will running a process. You will report to the Chief Business Officer and work alongside our Chief Medical Officer, who carries the clinical credibility that opens these rooms.<br /></p><h2>What You'll Do</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own pipeline generation and closed contract value for the health plan vertical, with a target of at least four opportunities in contracting or later at any time</p></li><li><p style=\"min-height:1.5em\">Build the payer narrative and buyer persona map: total cost of care, access and network adequacy, member engagement, quality measures, and performance in value-based arrangements</p></li><li><p style=\"min-height:1.5em\">Run the full cycle, sourcing with business development and marketing, scoping the integration with solutions engineering, and closing with the deal desk</p></li><li><p style=\"min-height:1.5em\">Navigate payer procurement and compliance, including security review, diligence questionnaires, corporate practice of medicine considerations, and BAA and DUA negotiation</p></li><li><p style=\"min-height:1.5em\">Work with our Chief Medical Officer and research team to turn clinical evidence into payer-ready economic packages</p></li><li><p style=\"min-height:1.5em\">Partner with implementation before signature so that what you sell is what we can deliver, on the timeline you committed to</p></li><li><p style=\"min-height:1.5em\">Feed vertical requirements into the enterprise product roadmap, and push back on one-off builds that will not repeat</p></li><li><p style=\"min-height:1.5em\">Grow accounts after launch alongside customer success, because expansion inside a plan matters more to us than net-new logos<br /></p></li></ul><h2>What We're Looking For</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">10+ years selling into health plans, including multi-year enterprise contracts you personally closed and carried a number against</p></li><li><p style=\"min-height:1.5em\">Verifiable relationships with payer economic buyers: chief medical officers, VPs of clinical operations and network, and digital health or innovation leaders</p></li><li><p style=\"min-height:1.5em\">Fluency in payer economics and the vocabulary that goes with it: PMPM, risk adjustment, medical loss ratio, capitation, shared savings and value-based contracting</p></li><li><p style=\"min-height:1.5em\">A track record of selling clinical credibility rather than features, and the judgment to know which evidence a given buyer actually needs</p></li><li><p style=\"min-height:1.5em\">Comfort selling a product that is still moving, in a category that regulators are still defining</p></li><li><p style=\"min-height:1.5em\">Willingness to travel heavily. Our enterprise buyers do not buy over video alone</p></li><li><p style=\"min-height:1.5em\">Based in New York City or willing to relocate. This is a hybrid role<br /></p></li></ul><h2>Nice to Have</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Sold AI, digital health or virtual care into payers specifically</p></li><li><p style=\"min-height:1.5em\">Worked inside a health plan, on the buying side of a deal like this one</p></li><li><p style=\"min-height:1.5em\">Familiarity with CMS models and care management programs such as ACCESS, APCM, CCM and TCM</p></li><li><p style=\"min-height:1.5em\">Experience with co-branded or digital front door deployments inside a plan's member experience</p></li><li><p style=\"min-height:1.5em\">Early-stage experience, ideally as one of the first sellers in a vertical<br /></p></li></ul><h2>Compensation &amp; Benefits</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Base salary range: $225-$275k + commission of up to 50% of base</p></li><li><p style=\"min-height:1.5em\">Meaningful equity</p></li><li><p style=\"min-height:1.5em\">Health reimbursement allowance, support for well-being, and flexible time off</p></li></ul>","descriptionPlain":"ABOUT DOCTRONIC\n\nDoctronic is the #1 AI doctor. Our AI is free, anonymous and HIPAA-compliant, and it has delivered over 30 million consults to date. In December 2025 we became the first and only AI legally authorized to practice medicine, renewing prescriptions autonomously under Utah's AI Learning Lab, and the first AI ever granted medical malpractice insurance. We are live in all 50 states and DC with AI and human physicians available 24/7, and we have raised $65M through our Series B from Abstract, Lightspeed, Union Square Ventures and others.\n\nWe are now building the enterprise organization that takes this to health plans, health systems and the wider healthcare ecosystem. This is one of the first senior sales hires on that team.\n\n\n\nTHE ROLE\n\nYou will own the health plan vertical end to end: the pipeline, the relationships, the narrative, and the number. Regional and national commercial payers, Medicare Advantage plans, Medicaid managed care organizations, and third-party administrators.\n\nThis is a fulltime role at a company where the product is genuinely new, so you will spend as much time teaching the market what autonomous clinical AI can do as you will running a process. You will report to the Chief Business Officer and work alongside our Chief Medical Officer, who carries the clinical credibility that opens these rooms.\n\n\n\nWHAT YOU'LL DO\n\n - Own pipeline generation and closed contract value for the health plan vertical, with a target of at least four opportunities in contracting or later at any time\n\n - Build the payer narrative and buyer persona map: total cost of care, access and network adequacy, member engagement, quality measures, and performance in value-based arrangements\n\n - Run the full cycle, sourcing with business development and marketing, scoping the integration with solutions engineering, and closing with the deal desk\n\n - Navigate payer procurement and compliance, including security review, diligence questionnaires, corporate practice of medicine considerations, and BAA and DUA negotiation\n\n - Work with our Chief Medical Officer and research team to turn clinical evidence into payer-ready economic packages\n\n - Partner with implementation before signature so that what you sell is what we can deliver, on the timeline you committed to\n\n - Feed vertical requirements into the enterprise product roadmap, and push back on one-off builds that will not repeat\n\n - Grow accounts after launch alongside customer success, because expansion inside a plan matters more to us than net-new logos\n   \n\n\nWHAT WE'RE LOOKING FOR\n\n - 10+ years selling into health plans, including multi-year enterprise contracts you personally closed and carried a number against\n\n - Verifiable relationships with payer economic buyers: chief medical officers, VPs of clinical operations and network, and digital health or innovation leaders\n\n - Fluency in payer economics and the vocabulary that goes with it: PMPM, risk adjustment, medical loss ratio, capitation, shared savings and value-based contracting\n\n - A track record of selling clinical credibility rather than features, and the judgment to know which evidence a given buyer actually needs\n\n - Comfort selling a product that is still moving, in a category that regulators are still defining\n\n - Willingness to travel heavily. Our enterprise buyers do not buy over video alone\n\n - Based in New York City or willing to relocate. This is a hybrid role\n   \n\n\nNICE TO HAVE\n\n - Sold AI, digital health or virtual care into payers specifically\n\n - Worked inside a health plan, on the buying side of a deal like this one\n\n - Familiarity with CMS models and care management programs such as ACCESS, APCM, CCM and TCM\n\n - Experience with co-branded or digital front door deployments inside a plan's member experience\n\n - Early-stage experience, ideally as one of the first sellers in a vertical\n   \n\n\nCOMPENSATION & BENEFITS\n\n - Base salary range: $225-$275k + commission of up to 50% of base\n\n - Meaningful equity\n\n - Health reimbursement allowance, support for well-being, and flexible time off","compensation":{"compensationTierSummary":"$225K – $275K • Offers Equity • Offers Commission","scrapeableCompensationSalarySummary":"$225K - $275K","compensationTiers":[{"id":"7daaaaf1-d52b-4cf2-b64e-b30a045fc417","tierSummary":"$225K – $275K • Offers Equity • Offers Commission","title":null,"additionalInformation":null,"components":[{"id":"de8a2d79-d009-41b1-90de-9b80758afd26","summary":"Offers Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"7e4b0e36-648c-4033-8ada-046b12912e19","summary":"$225K – $275K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":225000,"maxValue":275000},{"id":"69c5a3d9-073f-44cc-a27e-979ba31d98de","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":225000,"maxValue":275000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"c159eac1-af81-48a7-8f49-8fc127f3f660","title":"Sales Operations Manager","department":"Partnerships","team":"Partnerships","employmentType":"FullTime","location":"New York City","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-19T14:08:09.016+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/c159eac1-af81-48a7-8f49-8fc127f3f660","applyUrl":"https://jobs.ashbyhq.com/doctronic/c159eac1-af81-48a7-8f49-8fc127f3f660/application","descriptionHtml":"<h2>About Doctronic<br /></h2><p style=\"min-height:1.5em\">Doctronic is the #1 AI doctor. Our AI is free, anonymous and HIPAA-compliant, and it has delivered over 30 million consults to date. In December 2025 we became the first and only AI legally authorized to practice medicine, renewing prescriptions autonomously under Utah's AI Learning Lab, and the first AI ever granted medical malpractice insurance. We are live in all 50 states and DC with AI and human physicians available 24/7, and we have raised $65M through our Series B from Abstract, Lightspeed, Union Square Ventures and others.</p><p style=\"min-height:1.5em\">We are now building the enterprise organization that takes this to health plans, health systems and the wider healthcare ecosystem. This role is the operational backbone of that team.<br /></p><h2>The Role</h2><p style=\"min-height:1.5em\">Your job is to take everything off our sellers that is not selling.</p><p style=\"min-height:1.5em\">Right now our enterprise deals slow down in the same place every time: contracting. Diligence questionnaires, security reviews, statements of work, redlines and procurement follow-through all land on people whose time is better spent in front of partners. You will own that layer, and the single number you are graded on is days in contracting, trending down.</p><p style=\"min-height:1.5em\">You will be the first dedicated operations hire on the enterprise team, reporting to the Chief Business Officer. There is no playbook to inherit, which is the appeal of the job if it is the right job for you.<br /></p><h2>What You'll Do</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own the CRM as the single source of truth: stage definitions, exit criteria, hygiene, and the dashboards leadership actually looks at</p></li><li><p style=\"min-height:1.5em\">Run the deal desk: pricing approval routing, statement of work drafting, SLA templates, and redline tracking across concurrent deals</p></li><li><p style=\"min-height:1.5em\">Own diligence questionnaires and security questionnaires end to end, coordinating answers from security, compliance, clinical and engineering so a seller never has to chase them</p></li><li><p style=\"min-height:1.5em\">Drive procurement and legal follow-through on both sides, and escalate the moment a deal goes quiet</p></li><li><p style=\"min-height:1.5em\">Build and run the weekly pipeline review and the monthly board pipeline pack</p></li><li><p style=\"min-height:1.5em\">Own forecast hygiene and report on forecast accuracy, so that the number leadership commits to is a number we can trust</p></li><li><p style=\"min-height:1.5em\">Build the deal record that implementation and customer success inherit at signature, covering scope, pricing and service commitments</p></li><li><p style=\"min-height:1.5em\">Automate what repeats. We would rather you build the process once than run it forty times<br /></p></li></ul><h2>What We're Looking For</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">4 to 7 years in sales operations, revenue operations, deal desk or business operations at a B2B company with real enterprise deals</p></li><li><p style=\"min-height:1.5em\">Fluent in a modern CRM and comfortable owning configuration yourself rather than filing tickets for it</p></li><li><p style=\"min-height:1.5em\">Has personally run diligence or security questionnaire responses, or managed complex enterprise procurement to close</p></li><li><p style=\"min-height:1.5em\">Strong analytical skills. Excellent with spreadsheets, comfortable writing SQL or learning to</p></li><li><p style=\"min-height:1.5em\">Unusually organized, and a clear writer. Much of this job is making a document say exactly what it needs to say</p></li><li><p style=\"min-height:1.5em\">Comfortable being the only operations person, with high autonomy and minimal specs</p></li><li><p style=\"min-height:1.5em\">Based in New York City or willing to relocate. This is a hybrid role<br /></p></li></ul><h2>Nice to Have</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Enterprise sales operations in healthcare or another regulated industry, where BAAs, DUAs and security review are part of every deal</p></li><li><p style=\"min-height:1.5em\">Experience with CPQ or contract lifecycle management tooling</p></li><li><p style=\"min-height:1.5em\">Experience with BI tooling and building reporting off a warehouse rather than by hand</p></li><li><p style=\"min-height:1.5em\">Has stood up a deal desk or a partner reporting function from scratch</p></li><li><p style=\"min-height:1.5em\">Exposure to implementation or post-sales, so you understand what your deal record has to carry downstream<br /></p></li></ul><h2>Compensation &amp; Benefits</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Base salary range: $125-$150k + equity</p></li><li><p style=\"min-height:1.5em\">Health reimbursement allowance, support for well-being, and flexible time off</p></li></ul>","descriptionPlain":"ABOUT DOCTRONIC\n\n\nDoctronic is the #1 AI doctor. Our AI is free, anonymous and HIPAA-compliant, and it has delivered over 30 million consults to date. In December 2025 we became the first and only AI legally authorized to practice medicine, renewing prescriptions autonomously under Utah's AI Learning Lab, and the first AI ever granted medical malpractice insurance. We are live in all 50 states and DC with AI and human physicians available 24/7, and we have raised $65M through our Series B from Abstract, Lightspeed, Union Square Ventures and others.\n\nWe are now building the enterprise organization that takes this to health plans, health systems and the wider healthcare ecosystem. This role is the operational backbone of that team.\n\n\n\nTHE ROLE\n\nYour job is to take everything off our sellers that is not selling.\n\nRight now our enterprise deals slow down in the same place every time: contracting. Diligence questionnaires, security reviews, statements of work, redlines and procurement follow-through all land on people whose time is better spent in front of partners. You will own that layer, and the single number you are graded on is days in contracting, trending down.\n\nYou will be the first dedicated operations hire on the enterprise team, reporting to the Chief Business Officer. There is no playbook to inherit, which is the appeal of the job if it is the right job for you.\n\n\n\nWHAT YOU'LL DO\n\n - Own the CRM as the single source of truth: stage definitions, exit criteria, hygiene, and the dashboards leadership actually looks at\n\n - Run the deal desk: pricing approval routing, statement of work drafting, SLA templates, and redline tracking across concurrent deals\n\n - Own diligence questionnaires and security questionnaires end to end, coordinating answers from security, compliance, clinical and engineering so a seller never has to chase them\n\n - Drive procurement and legal follow-through on both sides, and escalate the moment a deal goes quiet\n\n - Build and run the weekly pipeline review and the monthly board pipeline pack\n\n - Own forecast hygiene and report on forecast accuracy, so that the number leadership commits to is a number we can trust\n\n - Build the deal record that implementation and customer success inherit at signature, covering scope, pricing and service commitments\n\n - Automate what repeats. We would rather you build the process once than run it forty times\n   \n\n\nWHAT WE'RE LOOKING FOR\n\n - 4 to 7 years in sales operations, revenue operations, deal desk or business operations at a B2B company with real enterprise deals\n\n - Fluent in a modern CRM and comfortable owning configuration yourself rather than filing tickets for it\n\n - Has personally run diligence or security questionnaire responses, or managed complex enterprise procurement to close\n\n - Strong analytical skills. Excellent with spreadsheets, comfortable writing SQL or learning to\n\n - Unusually organized, and a clear writer. Much of this job is making a document say exactly what it needs to say\n\n - Comfortable being the only operations person, with high autonomy and minimal specs\n\n - Based in New York City or willing to relocate. This is a hybrid role\n   \n\n\nNICE TO HAVE\n\n - Enterprise sales operations in healthcare or another regulated industry, where BAAs, DUAs and security review are part of every deal\n\n - Experience with CPQ or contract lifecycle management tooling\n\n - Experience with BI tooling and building reporting off a warehouse rather than by hand\n\n - Has stood up a deal desk or a partner reporting function from scratch\n\n - Exposure to implementation or post-sales, so you understand what your deal record has to carry downstream\n   \n\n\nCOMPENSATION & BENEFITS\n\n - Base salary range: $125-$150k + equity\n\n - Health reimbursement allowance, support for well-being, and flexible time off","compensation":{"compensationTierSummary":"$125K – $150K • Offers Equity","scrapeableCompensationSalarySummary":"$125K - $150K","compensationTiers":[{"id":"93b5230d-a594-49c1-8883-53998313e3ab","tierSummary":"$125K – $150K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"b9752d02-fde5-4090-bc8e-ae394afa09e6","summary":"$125K – $150K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":125000,"maxValue":150000},{"id":"2bb0fdaa-d70d-4b71-b5f2-f3ec15a89433","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":125000,"maxValue":150000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"188d54b7-b519-4ebe-88a9-571a325185a1","title":"Senior Director of Implementation","department":"Partnerships","team":"Partnerships","employmentType":"FullTime","location":"New York City","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-19T14:13:51.151+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/188d54b7-b519-4ebe-88a9-571a325185a1","applyUrl":"https://jobs.ashbyhq.com/doctronic/188d54b7-b519-4ebe-88a9-571a325185a1/application","descriptionHtml":"<h2>About Doctronic<br /></h2><p style=\"min-height:1.5em\">Doctronic is the #1 AI doctor. Our AI is free, anonymous and HIPAA-compliant, and it has delivered over 30 million consults to date. In December 2025 we became the first and only AI legally authorized to practice medicine, renewing prescriptions autonomously under Utah's AI Learning Lab, and the first AI ever granted medical malpractice insurance. We are live in all 50 states and DC with AI and human physicians available 24/7, and we have raised $65M through our Series B from Abstract, Lightspeed, Union Square Ventures and others.</p><p style=\"min-height:1.5em\">We are now building the enterprise organization that takes this to health plans, health systems and the wider healthcare ecosystem. This role owns everything that happens after a partner signs.<br /></p><h2>The Role</h2><p style=\"min-height:1.5em\">Every signed partnership goes live on time, at quality, without engineering heroics. That is the whole mandate.</p><p style=\"min-height:1.5em\">We have live partners today and more in build, and we have learned the hard way that launch quality currently depends too much on who happens to be assigned. You will fix that: build the delivery pods, build the repeatable launch process, and own the launch date. Your primary metric is on-time launch rate, with a target of moving signature to go-live under 60 days.</p><p style=\"min-height:1.5em\">You will report to the Chief Business Officer and lead a team of deployment strategists and solutions engineers, growing to three pods. You will also be the escalation path for partners, which today defaults to engineering and should not.<br /></p><h2>What You'll Do</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own the launch of every enterprise partnership from signature to go-live, across co-branded deployments, embedded chat and API integrations</p></li><li><p style=\"min-height:1.5em\">Build and lead delivery pods, each pairing a deployment strategist who owns the plan and the partner relationship with one to two solutions engineers</p></li><li><p style=\"min-height:1.5em\">Own the requirements document and hold the line on scope. If a partner asks for something new, it goes to the deal desk and product, not into the build</p></li><li><p style=\"min-height:1.5em\">Own the technical service level agreement and the delivery commitments we make in every statement of work, including before signature</p></li><li><p style=\"min-height:1.5em\">Stand up the launch playbook: internal kickoff at 80% closed, external kickoff, build, QA, clinical readiness, go-live, and the 30-day retro</p></li><li><p style=\"min-height:1.5em\">Run the handoff from sales, and make sure nobody walks into a partner kickoff without having read the statement of work</p></li><li><p style=\"min-height:1.5em\">Partner with our Enterprise Product Lead on the bespoke versus platform call, and drive the share of partner requirements we can meet with existing product upward every quarter</p></li><li><p style=\"min-height:1.5em\">Own the reuse verdict after each launch: template it, productize it, or retire it</p></li><li><p style=\"min-height:1.5em\">Be the escalation path, so that engineering can build instead of firefight<br /></p></li></ul><h2>What We're Looking For</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">8+ years in implementation, professional services, technical program management or solutions delivery, including 3+ years managing people</p></li><li><p style=\"min-height:1.5em\">Has delivered technical integrations into regulated enterprises: health systems, payers, pharmacy, or financial services</p></li><li><p style=\"min-height:1.5em\">Technically fluent. APIs, webhooks, SSO, and healthcare data standards such as FHIR. You can hold your own with engineers and be useful in the conversation</p></li><li><p style=\"min-height:1.5em\">Has told a customer no and kept the relationship. This is the single most important thing we are screening for</p></li><li><p style=\"min-height:1.5em\">Has built process where none existed, rather than administered process someone else designed</p></li><li><p style=\"min-height:1.5em\">Writes clearly and runs a meeting well. Most of the failure modes in this job are communication failures</p></li><li><p style=\"min-height:1.5em\">Based in New York City or willing to relocate. This is a hybrid role<br /></p></li></ul><h2>Nice to Have</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">FHIR R4, HL7, or direct Epic or Cerner integration experience</p></li><li><p style=\"min-height:1.5em\">Has run a pod, squad or forward-deployed engineering model</p></li><li><p style=\"min-height:1.5em\">Telehealth or clinical workflow delivery experience</p></li><li><p style=\"min-height:1.5em\">Experience introducing self-service tooling or a partner portal to reduce manual onboarding</p></li><li><p style=\"min-height:1.5em\">Has owned a technical SLA and the support tiering behind it<br /></p></li></ul><h2>Compensation &amp; Benefits</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Base salary range: $225-$250k + equity</p></li><li><p style=\"min-height:1.5em\">Health reimbursement allowance, support for well-being, and flexible time off</p></li></ul>","descriptionPlain":"ABOUT DOCTRONIC\n\n\nDoctronic is the #1 AI doctor. Our AI is free, anonymous and HIPAA-compliant, and it has delivered over 30 million consults to date. In December 2025 we became the first and only AI legally authorized to practice medicine, renewing prescriptions autonomously under Utah's AI Learning Lab, and the first AI ever granted medical malpractice insurance. We are live in all 50 states and DC with AI and human physicians available 24/7, and we have raised $65M through our Series B from Abstract, Lightspeed, Union Square Ventures and others.\n\nWe are now building the enterprise organization that takes this to health plans, health systems and the wider healthcare ecosystem. This role owns everything that happens after a partner signs.\n\n\n\nTHE ROLE\n\nEvery signed partnership goes live on time, at quality, without engineering heroics. That is the whole mandate.\n\nWe have live partners today and more in build, and we have learned the hard way that launch quality currently depends too much on who happens to be assigned. You will fix that: build the delivery pods, build the repeatable launch process, and own the launch date. Your primary metric is on-time launch rate, with a target of moving signature to go-live under 60 days.\n\nYou will report to the Chief Business Officer and lead a team of deployment strategists and solutions engineers, growing to three pods. You will also be the escalation path for partners, which today defaults to engineering and should not.\n\n\n\nWHAT YOU'LL DO\n\n - Own the launch of every enterprise partnership from signature to go-live, across co-branded deployments, embedded chat and API integrations\n\n - Build and lead delivery pods, each pairing a deployment strategist who owns the plan and the partner relationship with one to two solutions engineers\n\n - Own the requirements document and hold the line on scope. If a partner asks for something new, it goes to the deal desk and product, not into the build\n\n - Own the technical service level agreement and the delivery commitments we make in every statement of work, including before signature\n\n - Stand up the launch playbook: internal kickoff at 80% closed, external kickoff, build, QA, clinical readiness, go-live, and the 30-day retro\n\n - Run the handoff from sales, and make sure nobody walks into a partner kickoff without having read the statement of work\n\n - Partner with our Enterprise Product Lead on the bespoke versus platform call, and drive the share of partner requirements we can meet with existing product upward every quarter\n\n - Own the reuse verdict after each launch: template it, productize it, or retire it\n\n - Be the escalation path, so that engineering can build instead of firefight\n   \n\n\nWHAT WE'RE LOOKING FOR\n\n - 8+ years in implementation, professional services, technical program management or solutions delivery, including 3+ years managing people\n\n - Has delivered technical integrations into regulated enterprises: health systems, payers, pharmacy, or financial services\n\n - Technically fluent. APIs, webhooks, SSO, and healthcare data standards such as FHIR. You can hold your own with engineers and be useful in the conversation\n\n - Has told a customer no and kept the relationship. This is the single most important thing we are screening for\n\n - Has built process where none existed, rather than administered process someone else designed\n\n - Writes clearly and runs a meeting well. Most of the failure modes in this job are communication failures\n\n - Based in New York City or willing to relocate. This is a hybrid role\n   \n\n\nNICE TO HAVE\n\n - FHIR R4, HL7, or direct Epic or Cerner integration experience\n\n - Has run a pod, squad or forward-deployed engineering model\n\n - Telehealth or clinical workflow delivery experience\n\n - Experience introducing self-service tooling or a partner portal to reduce manual onboarding\n\n - Has owned a technical SLA and the support tiering behind it\n   \n\n\nCOMPENSATION & BENEFITS\n\n - Base salary range: $225-$250k + equity\n\n - Health reimbursement allowance, support for well-being, and flexible time off","compensation":{"compensationTierSummary":"$225K – $250K • Offers Equity","scrapeableCompensationSalarySummary":"$225K - $250K","compensationTiers":[{"id":"1bb66af4-09e0-4c69-a2d8-00be665545f6","tierSummary":"$225K – $250K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"10e76f95-6f1f-4c17-bd07-820787fb26d2","summary":"$225K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":225000,"maxValue":250000},{"id":"b9e7f4e9-7ba9-46a9-b4a2-f1fe84dfd309","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":225000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"ec2a12d6-2e53-4d9e-a36c-93a0826f76ff","title":"Vertical Sales Lead, Health Systems ","department":"Partnerships","team":"Partnerships","employmentType":"FullTime","location":"New York City","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-24T03:17:41.465+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/ec2a12d6-2e53-4d9e-a36c-93a0826f76ff","applyUrl":"https://jobs.ashbyhq.com/doctronic/ec2a12d6-2e53-4d9e-a36c-93a0826f76ff/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>About Doctronic</strong></p><p style=\"min-height:1.5em\">Doctronic is the #1 AI doctor. Our AI is free, anonymous and HIPAA-compliant, and it has delivered over 30 million consults to date. In December 2025 we became the first and only AI legally authorized to practice medicine, renewing prescriptions autonomously under Utah's AI Learning Lab, and the first AI ever granted medical malpractice insurance. We are live in all 50 states and DC with AI and human physicians available 24/7, and we have raised $65M through our Series B from Abstract, Lightspeed, Union Square Ventures and others.</p><p style=\"min-height:1.5em\">We are now building the enterprise organization that takes this to health plans, health systems and the wider healthcare ecosystem. This is one of the first senior sales hires on that team.<br /></p><p style=\"min-height:1.5em\"><strong>The Role</strong></p><p style=\"min-height:1.5em\">You will own the health systems vertical end to end: the pipeline, the relationships, the narrative, and the number. Academic medical centers, integrated delivery networks, community health systems, and multi-specialty provider groups.</p><p style=\"min-height:1.5em\">This is a fulltime role at a company where the product is genuinely new, so you will spend as much time teaching the market what autonomous clinical AI can do as you will running a process. You will report to the Chief Business Officer and work alongside our Chief Medical Officer, who carries the clinical credibility that opens these rooms.<br /></p><p style=\"min-height:1.5em\"><strong>What You'll Do</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own pipeline generation and closed contract value for the health systems vertical, with a target of at least four opportunities in contracting or later at any time</p></li><li><p style=\"min-height:1.5em\">Build the health system narrative and buyer persona map: cost of care, patient access and capacity, patient engagement, quality measures, and performance in value-based arrangements</p></li><li><p style=\"min-height:1.5em\">Run the full cycle, sourcing with business development and marketing, scoping the integration with solutions engineering, and closing with the deal desk</p></li><li><p style=\"min-height:1.5em\">Navigate health system procurement and compliance, including security review, diligence questionnaires, corporate practice of medicine considerations, and BAA and DUA negotiation</p></li><li><p style=\"min-height:1.5em\">Work with our Chief Medical Officer and research team to turn clinical evidence into health system-ready economic packages</p></li><li><p style=\"min-height:1.5em\">Partner with implementation before signature so that what you sell is what we can deliver, on the timeline you committed to</p></li><li><p style=\"min-height:1.5em\">Feed vertical requirements into the enterprise product roadmap, and push back on one-off builds that will not repeat</p></li><li><p style=\"min-height:1.5em\">Grow accounts after launch alongside customer success, because expansion inside a health system matters more to us than net-new logos<br /></p></li></ul><p style=\"min-height:1.5em\"><strong>What We're Looking For</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">10+ years selling into health systems, including multi-year enterprise contracts you personally closed and carried a number against</p></li><li><p style=\"min-height:1.5em\">Verifiable relationships with health system economic buyers: chief medical officers, VPs of clinical operations and network, and digital health or innovation leaders</p></li><li><p style=\"min-height:1.5em\">Fluency in health system economics and the vocabulary that goes with it: cost per case, DRG reimbursement, bundled payments, shared savings, risk-based arrangements, and value-based contracting</p></li><li><p style=\"min-height:1.5em\">A track record of selling clinical credibility rather than features, and the judgment to know which evidence a given buyer actually needs</p></li><li><p style=\"min-height:1.5em\">Comfort selling a product that is still moving, in a category that regulators are still defining</p></li><li><p style=\"min-height:1.5em\">Willingness to travel heavily. Our enterprise buyers do not buy over video alone</p></li><li><p style=\"min-height:1.5em\">Based in New York City or willing to relocate. This is a hybrid role<br /></p></li></ul><p style=\"min-height:1.5em\"><strong>Nice to Have</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Sold AI, digital health or virtual care into health systems specifically</p></li><li><p style=\"min-height:1.5em\">Worked inside a health system, on the buying side of a deal like this one</p></li><li><p style=\"min-height:1.5em\">Familiarity with CMS models and care management programs such as ACCESS, APCM, CCM and TCM</p></li><li><p style=\"min-height:1.5em\">Experience with co-branded or digital front door deployments inside a health system's patient experience</p></li><li><p style=\"min-height:1.5em\">Early-stage experience, ideally as one of the first sellers in a vertical<br /></p></li></ul><p style=\"min-height:1.5em\"><strong>Compensation &amp; Benefits</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Base salary range: $225-$275k + commission of up to 50% of base</p></li><li><p style=\"min-height:1.5em\">Meaningful equity</p></li><li><p style=\"min-height:1.5em\">Health reimbursement allowance, support for well-being, and flexible time off</p></li></ul>","descriptionPlain":"About Doctronic\n\nDoctronic is the #1 AI doctor. Our AI is free, anonymous and HIPAA-compliant, and it has delivered over 30 million consults to date. In December 2025 we became the first and only AI legally authorized to practice medicine, renewing prescriptions autonomously under Utah's AI Learning Lab, and the first AI ever granted medical malpractice insurance. We are live in all 50 states and DC with AI and human physicians available 24/7, and we have raised $65M through our Series B from Abstract, Lightspeed, Union Square Ventures and others.\n\nWe are now building the enterprise organization that takes this to health plans, health systems and the wider healthcare ecosystem. This is one of the first senior sales hires on that team.\n\n\nThe Role\n\nYou will own the health systems vertical end to end: the pipeline, the relationships, the narrative, and the number. Academic medical centers, integrated delivery networks, community health systems, and multi-specialty provider groups.\n\nThis is a fulltime role at a company where the product is genuinely new, so you will spend as much time teaching the market what autonomous clinical AI can do as you will running a process. You will report to the Chief Business Officer and work alongside our Chief Medical Officer, who carries the clinical credibility that opens these rooms.\n\n\nWhat You'll Do\n\n - Own pipeline generation and closed contract value for the health systems vertical, with a target of at least four opportunities in contracting or later at any time\n\n - Build the health system narrative and buyer persona map: cost of care, patient access and capacity, patient engagement, quality measures, and performance in value-based arrangements\n\n - Run the full cycle, sourcing with business development and marketing, scoping the integration with solutions engineering, and closing with the deal desk\n\n - Navigate health system procurement and compliance, including security review, diligence questionnaires, corporate practice of medicine considerations, and BAA and DUA negotiation\n\n - Work with our Chief Medical Officer and research team to turn clinical evidence into health system-ready economic packages\n\n - Partner with implementation before signature so that what you sell is what we can deliver, on the timeline you committed to\n\n - Feed vertical requirements into the enterprise product roadmap, and push back on one-off builds that will not repeat\n\n - Grow accounts after launch alongside customer success, because expansion inside a health system matters more to us than net-new logos\n   \n\nWhat We're Looking For\n\n - 10+ years selling into health systems, including multi-year enterprise contracts you personally closed and carried a number against\n\n - Verifiable relationships with health system economic buyers: chief medical officers, VPs of clinical operations and network, and digital health or innovation leaders\n\n - Fluency in health system economics and the vocabulary that goes with it: cost per case, DRG reimbursement, bundled payments, shared savings, risk-based arrangements, and value-based contracting\n\n - A track record of selling clinical credibility rather than features, and the judgment to know which evidence a given buyer actually needs\n\n - Comfort selling a product that is still moving, in a category that regulators are still defining\n\n - Willingness to travel heavily. Our enterprise buyers do not buy over video alone\n\n - Based in New York City or willing to relocate. This is a hybrid role\n   \n\nNice to Have\n\n - Sold AI, digital health or virtual care into health systems specifically\n\n - Worked inside a health system, on the buying side of a deal like this one\n\n - Familiarity with CMS models and care management programs such as ACCESS, APCM, CCM and TCM\n\n - Experience with co-branded or digital front door deployments inside a health system's patient experience\n\n - Early-stage experience, ideally as one of the first sellers in a vertical\n   \n\nCompensation & Benefits\n\n - Base salary range: $225-$275k + commission of up to 50% of base\n\n - Meaningful equity\n\n - Health reimbursement allowance, support for well-being, and flexible time off","compensation":{"compensationTierSummary":"$225K – $275K • Offers Equity • Offers Commission","scrapeableCompensationSalarySummary":"$225K - $275K","compensationTiers":[{"id":"bda5bc79-d350-4969-8613-69ed95d172dd","tierSummary":"$225K – $275K • Offers Equity • Offers Commission","title":null,"additionalInformation":null,"components":[{"id":"cd4c3fc4-c306-438d-848b-b64da09210dc","summary":"Offers Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"5a353fa4-2890-4ebf-acba-ef4be103d029","summary":"$225K – $275K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":225000,"maxValue":275000},{"id":"4ed6c2bd-a26a-4814-98a3-502c92433c05","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":225000,"maxValue":275000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"3bed9c6b-cd82-4793-83cc-f7413c5ca80b","title":"Senior Product Manager, Consumer","department":"Product","team":"Product","employmentType":"FullTime","location":"New York City","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-24T12:10:47.037+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/3bed9c6b-cd82-4793-83cc-f7413c5ca80b","applyUrl":"https://jobs.ashbyhq.com/doctronic/3bed9c6b-cd82-4793-83cc-f7413c5ca80b/application","descriptionHtml":"<h2><strong>About Doctronic</strong></h2><p style=\"min-height:1.5em\">Doctronic is the first AI legally authorized to practice medicine. We are striving to make high-quality healthcare free and accessible to everyone through AI. Doctronic's AI doctor already handles millions of consultations, while continuously improving clinical safety and accuracy. We are advancing how AI systems reason, learn, retrieve evidence, and earn trust in real clinical care.<br /></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">We're looking for a Senior Product Manager to lead key parts of our core consumer product experience. You'll turn a fast-moving roadmap into a shipped product, optimize the existing experience for completion and conversion to a physician visit, and identify and own new product opportunities across the patient journey. You'll build with AI tools as part of how you work every day.<br /></p><h2><strong>What You'll Do</strong></h2><p style=\"min-height:1.5em\"><strong>Roadmap Execution &amp; Delivery</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own execution of the consumer product roadmap, turning ideas into shipped features</p></li><li><p style=\"min-height:1.5em\">Prototype flows to validate ideas and de-risk specs before engineering commits time</p></li><li><p style=\"min-height:1.5em\">Use AI tools to draft specs, tickets, and documentation quickly</p></li><li><p style=\"min-height:1.5em\">Break down ambiguous problems into sequenced, shippable increments</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Roadmap Development</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Independently scope and propose roadmaps for defined product areas</p></li><li><p style=\"min-height:1.5em\">Bring a clear, data-backed point of view on prioritization and sequencing</p></li><li><p style=\"min-height:1.5em\">Identify quick wins and low-lift improvements worth pursuing outside the primary roadmap</p></li><li><p style=\"min-height:1.5em\">Size opportunities quickly so leadership can decide what's worth resourcing</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Data-Driven Iteration &amp; Growth</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Define and track success metrics for shipped features</p></li><li><p style=\"min-height:1.5em\">Run and interpret A/B tests (Statsig) to validate what's working and kill what isn't</p></li><li><p style=\"min-height:1.5em\">Run user research to find new product opportunities</p></li><li><p style=\"min-height:1.5em\">Report progress and impact clearly to leadership on a regular cadence</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Cross-Functional Coordination</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Serve as the connective tissue between eng, design, AI/clinical teams, and marketing</p></li><li><p style=\"min-height:1.5em\">Coordinate launches across web and native apps (iOS/Android)</p></li><li><p style=\"min-height:1.5em\">Escalate risks and blockers, and keep stakeholders informed without excessive process</p></li><li><p style=\"min-height:1.5em\">Partner with support and clinical ops to catch and fix issues surfaced from real patients<br /></p></li></ul><h2><strong>Who You Are</strong></h2><p style=\"min-height:1.5em\"><strong>Required Qualifications</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">5+ years of consumer product management experience</p></li><li><p style=\"min-height:1.5em\">Sharp product sense: a clear point of view on what's worth building and what to cut</p></li><li><p style=\"min-height:1.5em\">Track record of taking consumer web and mobile features from idea to shipped</p></li><li><p style=\"min-height:1.5em\">Able to independently scope and propose a roadmap for a well-defined product area</p></li><li><p style=\"min-height:1.5em\">Data fluency: comfortable defining metrics, reading dashboards, and running experiments</p></li><li><p style=\"min-height:1.5em\">Strong technical fluency: able to work closely with engineers on tradeoffs and constraints</p></li><li><p style=\"min-height:1.5em\">Comfort operating with ambiguity, incomplete information, and making decisions quickly</p></li><li><p style=\"min-height:1.5em\">Experience working in a fast-paced, resource-constrained startup or growth-stage company</p></li><li><p style=\"min-height:1.5em\">AI-native workflow: use AI to prototype ideas, synthesize research, draft, and iterate quickly</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Preferred Qualifications</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience in healthcare or other regulated consumer industries</p></li><li><p style=\"min-height:1.5em\">Experience at an early-stage company where you owned a defined roadmap area</p></li><li><p style=\"min-height:1.5em\">Experience building or shipping AI-powered or conversational product experiences<br /></p></li></ul><h2><strong>Compensation &amp; Benefits</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Competitive salary plus meaningful equity with real upside as we grow</p></li><li><p style=\"min-height:1.5em\">Build AI systems transforming healthcare for millions</p></li><li><p style=\"min-height:1.5em\">High autonomy and end-to-end ownership on problems that matter</p></li><li><p style=\"min-height:1.5em\">Work side by side with physician-scientists</p></li><li><p style=\"min-height:1.5em\">Health benefits reimbursement </p></li><li><p style=\"min-height:1.5em\">Flexible PTO</p></li></ul>","descriptionPlain":"ABOUT DOCTRONIC\n\nDoctronic is the first AI legally authorized to practice medicine. We are striving to make high-quality healthcare free and accessible to everyone through AI. Doctronic's AI doctor already handles millions of consultations, while continuously improving clinical safety and accuracy. We are advancing how AI systems reason, learn, retrieve evidence, and earn trust in real clinical care.\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Senior Product Manager to lead key parts of our core consumer product experience. You'll turn a fast-moving roadmap into a shipped product, optimize the existing experience for completion and conversion to a physician visit, and identify and own new product opportunities across the patient journey. You'll build with AI tools as part of how you work every day.\n\n\n\nWHAT YOU'LL DO\n\nRoadmap Execution & Delivery\n\n - Own execution of the consumer product roadmap, turning ideas into shipped features\n\n - Prototype flows to validate ideas and de-risk specs before engineering commits time\n\n - Use AI tools to draft specs, tickets, and documentation quickly\n\n - Break down ambiguous problems into sequenced, shippable increments\n\n\n\nRoadmap Development\n\n - Independently scope and propose roadmaps for defined product areas\n\n - Bring a clear, data-backed point of view on prioritization and sequencing\n\n - Identify quick wins and low-lift improvements worth pursuing outside the primary roadmap\n\n - Size opportunities quickly so leadership can decide what's worth resourcing\n\n\n\nData-Driven Iteration & Growth\n\n - Define and track success metrics for shipped features\n\n - Run and interpret A/B tests (Statsig) to validate what's working and kill what isn't\n\n - Run user research to find new product opportunities\n\n - Report progress and impact clearly to leadership on a regular cadence\n\n\n\nCross-Functional Coordination\n\n - Serve as the connective tissue between eng, design, AI/clinical teams, and marketing\n\n - Coordinate launches across web and native apps (iOS/Android)\n\n - Escalate risks and blockers, and keep stakeholders informed without excessive process\n\n - Partner with support and clinical ops to catch and fix issues surfaced from real patients\n   \n\n\nWHO YOU ARE\n\nRequired Qualifications\n\n - 5+ years of consumer product management experience\n\n - Sharp product sense: a clear point of view on what's worth building and what to cut\n\n - Track record of taking consumer web and mobile features from idea to shipped\n\n - Able to independently scope and propose a roadmap for a well-defined product area\n\n - Data fluency: comfortable defining metrics, reading dashboards, and running experiments\n\n - Strong technical fluency: able to work closely with engineers on tradeoffs and constraints\n\n - Comfort operating with ambiguity, incomplete information, and making decisions quickly\n\n - Experience working in a fast-paced, resource-constrained startup or growth-stage company\n\n - AI-native workflow: use AI to prototype ideas, synthesize research, draft, and iterate quickly\n\n\n\nPreferred Qualifications\n\n - Experience in healthcare or other regulated consumer industries\n\n - Experience at an early-stage company where you owned a defined roadmap area\n\n - Experience building or shipping AI-powered or conversational product experiences\n   \n\n\nCOMPENSATION & BENEFITS\n\n - Competitive salary plus meaningful equity with real upside as we grow\n\n - Build AI systems transforming healthcare for millions\n\n - High autonomy and end-to-end ownership on problems that matter\n\n - Work side by side with physician-scientists\n\n - Health benefits reimbursement \n\n - Flexible PTO","compensation":{"compensationTierSummary":"$160K – $200K • Offers Equity","scrapeableCompensationSalarySummary":"$160K - $200K","compensationTiers":[{"id":"38f3c246-5a65-47b8-89e2-38233b9802eb","tierSummary":"$160K – $200K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"ec963b9f-4e81-4e25-aff0-0d08b6ce305b","summary":"$160K – $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":200000},{"id":"a27adc4b-b6ad-4544-93e9-bfaa21096c38","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":200000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"51f29cac-ee65-4b56-ad0d-3094ff63de80","title":"Engineering Manager, Product","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-22T22:28:52.442+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/51f29cac-ee65-4b56-ad0d-3094ff63de80","applyUrl":"https://jobs.ashbyhq.com/doctronic/51f29cac-ee65-4b56-ad0d-3094ff63de80/application","descriptionHtml":"<h1>Engineering Manager, Product</h1><h2>Doctronic | New York City or San Francisco (hybrid) | Full time</h2><p style=\"min-height:1.5em\"></p><h2>The role</h2><p style=\"min-height:1.5em\">Doctronic gives people free, private access to AI health guidance and affordable visits with human physicians. Millions of consultations already flow through the product. </p><p style=\"min-height:1.5em\">We are hiring an Engineering Manager to lead a team building Doctronic’s products and the AI systems behind them. You will develop engineers, shape technical direction, and turn ambiguous product needs into software that works reliably in production.</p><p style=\"min-height:1.5em\">This is a hands-on management role. You will work in the codebase, guide architecture, review changes, debug production issues, and ship alongside your team. You will be accountable for team health, technical quality, delivery, and the impact of what you build.</p><p style=\"min-height:1.5em\">We expect engineering leaders to work AI-natively. Coding agents are part of daily delivery across planning, implementation, testing, review, and debugging. You should have strong opinions grounded in practice about how to direct agents, validate their work, and help a team accomplish more with them. You remain responsible for the decisions and correctness of what ships.</p><p style=\"min-height:1.5em\"></p><h2>What you will do</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Lead and grow a team of product engineers through clear expectations, coaching, direct feedback, and high standards.</p></li><li><p style=\"min-height:1.5em\">Partner with product, design, clinical, AI, and operations teams to understand problems, set priorities, and define what success looks like.</p></li><li><p style=\"min-height:1.5em\">Turn incomplete requirements into focused projects, make technical tradeoffs, and keep the team shipping through short planning cycles.</p></li><li><p style=\"min-height:1.5em\">Contribute production code, lead technical investigations, review changes, and help resolve difficult implementation and production problems.</p></li><li><p style=\"min-height:1.5em\">Guide work across user experiences, backend services, data models integrations, and AI workflows. Help engineers own complete solutions across those boundaries.</p></li><li><p style=\"min-height:1.5em\">Turn AI capabilities into useful product behavior, with clear interfaces, reliable orchestration, appropriate safeguards, and evaluations that reflect real use.</p></li><li><p style=\"min-height:1.5em\">Make coding agents and automation effective across the team. Improve how work is scoped, context is supplied, results are verified, and repeated work becomes reusable tooling.</p></li><li><p style=\"min-height:1.5em\">Own the operation of the services your team ships, partnering with Platform on shared infrastructure, tooling, and standards.</p></li><li><p style=\"min-height:1.5em\">Review product usage, user feedback, AI evaluations, and production performance after launch. Use what you learn to improve the product and the team’s decisions.</p></li><li><p style=\"min-height:1.5em\">Hire strong engineers and build a team that can take on broader scope as Doctronic grows.</p></li></ul><p style=\"min-height:1.5em\"></p><h2>What we are looking for</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience managing and developing engineers who build and operate user-facing products or the systems behind them.</p></li><li><p style=\"min-height:1.5em\">A strong software engineering background and the current ability to contribute production code and work through difficult technical problems.</p></li><li><p style=\"min-height:1.5em\">Experience shipping across frontend and backend systems, with depth in at least one area and the ability to lead work across the rest.</p></li><li><p style=\"min-height:1.5em\">Good product judgment: you can clarify the problem, challenge assumptions, choose an appropriate scope, and connect engineering decisions to user outcomes.</p></li><li><p style=\"min-height:1.5em\">Daily experience directing coding agents and evidence that you have improved how a team builds software with them.</p></li><li><p style=\"min-height:1.5em\">Practical judgment about AI systems, including where to use models and agents, how to evaluate their behavior, and where explicit controls and human judgment are needed.</p></li><li><p style=\"min-height:1.5em\">A record of improving engineering throughput while maintaining quality, reliability, and maintainability.</p></li><li><p style=\"min-height:1.5em\">Experience hiring, coaching, giving direct feedback, and helping engineers grow.</p></li><li><p style=\"min-height:1.5em\">Sound decisions about patient safety, privacy, security, accessibility, and production reliability.</p></li><li><p style=\"min-height:1.5em\">Clear communication across engineering and company leadership, including the ability to explain tradeoffs and surface risks early.</p></li></ul><p style=\"min-height:1.5em\">Many candidates will have eight or more years of engineering experience, including two or more years managing engineers. We care more about the products you shipped, the engineers you developed, and your contribution to both than a specific degree, title, or exact tool match. Experience with AI products, agent orchestration, evaluation systems, healthcare, or another regulated field is useful but not required.</p><p style=\"min-height:1.5em\"></p><h2>Production stack</h2><p style=\"min-height:1.5em\">Our product includes a Next.js, React, and TypeScript web application; native iOS and Android apps written in Swift and Kotlin; and Python and FastAPI services. Backend systems use MariaDB, SQLAlchemy, Redis, and Celery. Services run in Docker on AWS ECS and integrate with AI providers, telehealth systems, healthcare APIs, and FHIR-based workflows. You do not need experience with every part of the stack, but you should be comfortable learning unfamiliar systems and contributing across product and backend code.</p><p style=\"min-height:1.5em\"></p><h2>How we work</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">A small, senior engineering team with high autonomy.</p></li><li><p style=\"min-height:1.5em\">Managers stay close to the work and ship alongside their teams.</p></li><li><p style=\"min-height:1.5em\">Teams own projects from initial definition through launch, iteration, and production support.</p></li><li><p style=\"min-height:1.5em\">Short planning cycles and frequent releases.</p></li><li><p style=\"min-height:1.5em\">High standards for patient safety, privacy, reliability, and code quality.</p></li></ul><p style=\"min-height:1.5em\"></p><h2>Compensation and benefits</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">New York City and San Francisco base salary: $200,000 to $300,000, plus equity.</p></li><li><p style=\"min-height:1.5em\">Benefits &amp; 401k </p></li></ul><p style=\"min-height:1.5em\"></p><h2>About Doctronic</h2><p style=\"min-height:1.5em\">At <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://doctronic.ai\">doctronic.ai</a>, people can receive free, private AI health guidance and connect with human physicians for affordable visits. We build products for patients, clinicians, and healthcare partners to help people move from questions about their health to care.</p>","descriptionPlain":"ENGINEERING MANAGER, PRODUCT\n\n\nDOCTRONIC | NEW YORK CITY OR SAN FRANCISCO (HYBRID) | FULL TIME\n\n\n\n\nTHE ROLE\n\nDoctronic gives people free, private access to AI health guidance and affordable visits with human physicians. Millions of consultations already flow through the product. \n\nWe are hiring an Engineering Manager to lead a team building Doctronic’s products and the AI systems behind them. You will develop engineers, shape technical direction, and turn ambiguous product needs into software that works reliably in production.\n\nThis is a hands-on management role. You will work in the codebase, guide architecture, review changes, debug production issues, and ship alongside your team. You will be accountable for team health, technical quality, delivery, and the impact of what you build.\n\nWe expect engineering leaders to work AI-natively. Coding agents are part of daily delivery across planning, implementation, testing, review, and debugging. You should have strong opinions grounded in practice about how to direct agents, validate their work, and help a team accomplish more with them. You remain responsible for the decisions and correctness of what ships.\n\n\n\n\nWHAT YOU WILL DO\n\n - Lead and grow a team of product engineers through clear expectations, coaching, direct feedback, and high standards.\n\n - Partner with product, design, clinical, AI, and operations teams to understand problems, set priorities, and define what success looks like.\n\n - Turn incomplete requirements into focused projects, make technical tradeoffs, and keep the team shipping through short planning cycles.\n\n - Contribute production code, lead technical investigations, review changes, and help resolve difficult implementation and production problems.\n\n - Guide work across user experiences, backend services, data models integrations, and AI workflows. Help engineers own complete solutions across those boundaries.\n\n - Turn AI capabilities into useful product behavior, with clear interfaces, reliable orchestration, appropriate safeguards, and evaluations that reflect real use.\n\n - Make coding agents and automation effective across the team. Improve how work is scoped, context is supplied, results are verified, and repeated work becomes reusable tooling.\n\n - Own the operation of the services your team ships, partnering with Platform on shared infrastructure, tooling, and standards.\n\n - Review product usage, user feedback, AI evaluations, and production performance after launch. Use what you learn to improve the product and the team’s decisions.\n\n - Hire strong engineers and build a team that can take on broader scope as Doctronic grows.\n\n\n\n\nWHAT WE ARE LOOKING FOR\n\n - Experience managing and developing engineers who build and operate user-facing products or the systems behind them.\n\n - A strong software engineering background and the current ability to contribute production code and work through difficult technical problems.\n\n - Experience shipping across frontend and backend systems, with depth in at least one area and the ability to lead work across the rest.\n\n - Good product judgment: you can clarify the problem, challenge assumptions, choose an appropriate scope, and connect engineering decisions to user outcomes.\n\n - Daily experience directing coding agents and evidence that you have improved how a team builds software with them.\n\n - Practical judgment about AI systems, including where to use models and agents, how to evaluate their behavior, and where explicit controls and human judgment are needed.\n\n - A record of improving engineering throughput while maintaining quality, reliability, and maintainability.\n\n - Experience hiring, coaching, giving direct feedback, and helping engineers grow.\n\n - Sound decisions about patient safety, privacy, security, accessibility, and production reliability.\n\n - Clear communication across engineering and company leadership, including the ability to explain tradeoffs and surface risks early.\n\nMany candidates will have eight or more years of engineering experience, including two or more years managing engineers. We care more about the products you shipped, the engineers you developed, and your contribution to both than a specific degree, title, or exact tool match. Experience with AI products, agent orchestration, evaluation systems, healthcare, or another regulated field is useful but not required.\n\n\n\n\nPRODUCTION STACK\n\nOur product includes a Next.js, React, and TypeScript web application; native iOS and Android apps written in Swift and Kotlin; and Python and FastAPI services. Backend systems use MariaDB, SQLAlchemy, Redis, and Celery. Services run in Docker on AWS ECS and integrate with AI providers, telehealth systems, healthcare APIs, and FHIR-based workflows. You do not need experience with every part of the stack, but you should be comfortable learning unfamiliar systems and contributing across product and backend code.\n\n\n\n\nHOW WE WORK\n\n - A small, senior engineering team with high autonomy.\n\n - Managers stay close to the work and ship alongside their teams.\n\n - Teams own projects from initial definition through launch, iteration, and production support.\n\n - Short planning cycles and frequent releases.\n\n - High standards for patient safety, privacy, reliability, and code quality.\n\n\n\n\nCOMPENSATION AND BENEFITS\n\n - New York City and San Francisco base salary: $200,000 to $300,000, plus equity.\n\n - Benefits & 401k \n\n\n\n\nABOUT DOCTRONIC\n\nAt doctronic.ai http://doctronic.ai, people can receive free, private AI health guidance and connect with human physicians for affordable visits. We build products for patients, clinicians, and healthcare partners to help people move from questions about their health to care.","compensation":{"compensationTierSummary":"$200K – $300K • Offers Equity","scrapeableCompensationSalarySummary":"$200K - $300K","compensationTiers":[{"id":"377df0d9-73f2-46da-bb1c-f21a1895fbe5","tierSummary":"$200K – $300K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"abc2ca2f-a20c-4745-a58d-7f83ce498318","summary":"$200K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":300000},{"id":"b0bd0995-89d6-45eb-a1b6-1d42778bba5b","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":300000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"9ddc0c0d-14ae-4d92-8c90-4f1428c8760b","title":"Workplace Experience Manager ","department":"Operations","team":"Operations","employmentType":"FullTime","location":"New York City","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-30T18:26:07.605+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/doctronic/9ddc0c0d-14ae-4d92-8c90-4f1428c8760b","applyUrl":"https://jobs.ashbyhq.com/doctronic/9ddc0c0d-14ae-4d92-8c90-4f1428c8760b/application","descriptionHtml":"<h2><strong>About Doctronic</strong></h2><p style=\"min-height:1.5em\">Doctronic is building AI-powered clinical tools that help patients get accurate answers and appropriate care faster. Backed by Union Square Ventures and Lightspeed Venture Partners, the team is scaling quickly across engineering, clinical, and product functions — and needs a Workplace Experience Manager who can keep leadership's time, communication, and priorities running smoothly as the company grows.<br /></p><h2><strong>The Role</strong></h2><p style=\"min-height:1.5em\"><br />As Workplace Experience Manager, you’ll be the face of Doctronic and own the day-to-day employee experience in our NY office. You’ll keep the space running smoothly, from vendor relationships and supplies to events, in-office  interviews and new employee onboarding, while serving as a force multiplier for our leadership team. You’ll manage complex calendars, anticipate needs before they’re voiced, and handle sensitive information with discretion. You will interact closely with Doctronic’s executive team. In-office Monday - Thursday in NYC.<br /></p><h2><strong>What You'll Do</strong></h2><p style=\"min-height:1.5em\"></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Office administration:</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Manage outside vendors that support our office including IT, food, janitorial</p></li><li><p style=\"min-height:1.5em\">Be responsible for an office budget</p></li><li><p style=\"min-height:1.5em\">Take ownership of all coordination with the building</p></li><li><p style=\"min-height:1.5em\">Manage any urgent office issues in person, including facilities issues (leaks, broken lights, etc.)</p></li><li><p style=\"min-height:1.5em\">Manage all package deliveries, including breaking down boxes as needed</p></li><li><p style=\"min-height:1.5em\">Determine best approach to snacks and stock the kitchen; empty the dishwasher</p></li><li><p style=\"min-height:1.5em\">Manage incoming mail and distribute to appropriate team members</p></li></ul></li><li><p style=\"min-height:1.5em\">Workplace Experience:</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Be the first friendly face of Doctronic for visitors who come to the office</p></li><li><p style=\"min-height:1.5em\">Support NY team events (happy hours, lunches, etc.)</p></li><li><p style=\"min-height:1.5em\">Review and approve larger team expenses through Ramp</p></li><li><p style=\"min-height:1.5em\">Research vendors for upcoming events</p></li><li><p style=\"min-height:1.5em\">Support ordering and distribution of company swag</p></li><li><p style=\"min-height:1.5em\">Plan and execute internal events, offsites, and team gatherings, including logistics and budget management</p></li><li><p style=\"min-height:1.5em\">Be a key partner in any senior team or company-wide off-sites</p></li></ul></li><li><p style=\"min-height:1.5em\">Calendar coordination:</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Periodically coordinate senior team calendars for larger group meetings or time sensitive meetings</p></li><li><p style=\"min-height:1.5em\">Coordinate standing quarterly review meetings</p></li></ul></li><li><p style=\"min-height:1.5em\">Support HR and Recruiting Initiatives:</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Support in-person interview calendars and conference room coordination</p></li><li><p style=\"min-height:1.5em\">Support onboarding and new hire orientation</p></li><li><p style=\"min-height:1.5em\">Address employee needs within the office space (noise, allergies, etc.)</p></li><li><p style=\"min-height:1.5em\">Handle confidential and sensitive information with absolute discretion</p></li><li><p style=\"min-height:1.5em\">Surface any in-person employee needs to HR</p></li></ul></li></ul><h2><strong>What We're Looking For</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">8+ years of experience as an Office Manager or Executive Assistant supporting C-level leadership, ideally at a fast-moving company.</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience as an office manager with team support as part of the responsibilities</p></li></ul></li><li><p style=\"min-height:1.5em\">Exceptional organizational skills and an ability to juggle competing priorities without dropping details</p></li><li><p style=\"min-height:1.5em\">Strong written and verbal communication, with a polished, professional presence</p></li><li><p style=\"min-height:1.5em\">A high degree of discretion and sound judgment when handling sensitive or confidential information</p></li><li><p style=\"min-height:1.5em\">Comfort operating in ambiguity and building process where none exists yet</p></li><li><p style=\"min-height:1.5em\">Proficiency with common productivity and calendar tools (Google Workspace, Slack, Notion, expense platforms)</p></li><li><p style=\"min-height:1.5em\">Strong use of AI to streamline tasks, improve processes and reduce mistakes</p></li></ul><h2><strong>Nice to Have</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience supporting teams in preparing materials for recurring meetings such as monthly KPI meetings, all hands, etc. (ideally with the help of AI)</p></li><li><p style=\"min-height:1.5em\">Familiarity with IT and security in offices</p></li></ul><h2><strong>Why Doctronic</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Work directly with founders and leadership at a fast-scaling AI healthcare company</p></li><li><p style=\"min-height:1.5em\">Backed by top-tier investors (Union Square Ventures, Lightspeed Venture Partners)</p></li><li><p style=\"min-height:1.5em\">High-trust, high-autonomy role with real influence over how the executive office runs</p></li><li><p style=\"min-height:1.5em\">Competitive compensation, equity, and benefits</p></li></ul><p style=\"min-height:1.5em\"></p>","descriptionPlain":"ABOUT DOCTRONIC\n\nDoctronic is building AI-powered clinical tools that help patients get accurate answers and appropriate care faster. Backed by Union Square Ventures and Lightspeed Venture Partners, the team is scaling quickly across engineering, clinical, and product functions — and needs a Workplace Experience Manager who can keep leadership's time, communication, and priorities running smoothly as the company grows.\n\n\n\nTHE ROLE\n\n\nAs Workplace Experience Manager, you’ll be the face of Doctronic and own the day-to-day employee experience in our NY office. You’ll keep the space running smoothly, from vendor relationships and supplies to events, in-office  interviews and new employee onboarding, while serving as a force multiplier for our leadership team. You’ll manage complex calendars, anticipate needs before they’re voiced, and handle sensitive information with discretion. You will interact closely with Doctronic’s executive team. In-office Monday - Thursday in NYC.\n\n\n\nWHAT YOU'LL DO\n\n\n\n - Office administration:\n   \n   - Manage outside vendors that support our office including IT, food, janitorial\n   \n   - Be responsible for an office budget\n   \n   - Take ownership of all coordination with the building\n   \n   - Manage any urgent office issues in person, including facilities issues (leaks, broken lights, etc.)\n   \n   - Manage all package deliveries, including breaking down boxes as needed\n   \n   - Determine best approach to snacks and stock the kitchen; empty the dishwasher\n   \n   - Manage incoming mail and distribute to appropriate team members\n\n - Workplace Experience:\n   \n   - Be the first friendly face of Doctronic for visitors who come to the office\n   \n   - Support NY team events (happy hours, lunches, etc.)\n   \n   - Review and approve larger team expenses through Ramp\n   \n   - Research vendors for upcoming events\n   \n   - Support ordering and distribution of company swag\n   \n   - Plan and execute internal events, offsites, and team gatherings, including logistics and budget management\n   \n   - Be a key partner in any senior team or company-wide off-sites\n\n - Calendar coordination:\n   \n   - Periodically coordinate senior team calendars for larger group meetings or time sensitive meetings\n   \n   - Coordinate standing quarterly review meetings\n\n - Support HR and Recruiting Initiatives:\n   \n   - Support in-person interview calendars and conference room coordination\n   \n   - Support onboarding and new hire orientation\n   \n   - Address employee needs within the office space (noise, allergies, etc.)\n   \n   - Handle confidential and sensitive information with absolute discretion\n   \n   - Surface any in-person employee needs to HR\n\n\nWHAT WE'RE LOOKING FOR\n\n - 8+ years of experience as an Office Manager or Executive Assistant supporting C-level leadership, ideally at a fast-moving company.\n   \n   - Experience as an office manager with team support as part of the responsibilities\n\n - Exceptional organizational skills and an ability to juggle competing priorities without dropping details\n\n - Strong written and verbal communication, with a polished, professional presence\n\n - A high degree of discretion and sound judgment when handling sensitive or confidential information\n\n - Comfort operating in ambiguity and building process where none exists yet\n\n - Proficiency with common productivity and calendar tools (Google Workspace, Slack, Notion, expense platforms)\n\n - Strong use of AI to streamline tasks, improve processes and reduce mistakes\n\n\nNICE TO HAVE\n\n - Experience supporting teams in preparing materials for recurring meetings such as monthly KPI meetings, all hands, etc. (ideally with the help of AI)\n\n - Familiarity with IT and security in offices\n\n\nWHY DOCTRONIC\n\n - Work directly with founders and leadership at a fast-scaling AI healthcare company\n\n - Backed by top-tier investors (Union Square Ventures, Lightspeed Venture Partners)\n\n - High-trust, high-autonomy role with real influence over how the executive office runs\n\n - Competitive compensation, equity, and benefits\n\n","compensation":{"compensationTierSummary":"$120K – $140K • Offers Equity","scrapeableCompensationSalarySummary":"$120K - $140K","compensationTiers":[{"id":"6a604df8-ea40-4d0b-be01-e8d6ed8849f3","tierSummary":"$120K – $140K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"8d9e0636-dc68-4404-932f-6e09bc9f5a7b","summary":"$120K – $140K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":140000},{"id":"60eb79dc-7e99-494a-bd86-61715d47490e","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":140000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}}],"apiVersion":"1"}