{"data":{"company":{"name":"Komodo Health","slug":"komodo-health","logo_url":"https://logos.yubhub.co/komodohealth.com.png","canonical_domain":"komodohealth.com","editorial":null,"wikidata_id":null,"founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":null,"github_public_repos":null,"github_followers":null,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[{"title":"Chutes & Ladders—Providence names new CFO; Humana taps new CMO - Fierce Healthcare","url":"https://news.google.com/rss/articles/CBMiwwFBVV95cUxObzdyTGN2RTkwa2l5S2QtOHlsOW5jeFN6UDBLckZ0VE5TODA0bHVoZlY3RDB0Z1FQblV4VUFpTkJmUDhuUlZLQ00xTC1fR2w0UDdlYWhRY0dzcWZweFczY3BUUmlfMm12QVlkUTZIUXJXT0Q1QmwwSEVVY1c3Wl8tWGVQbjFnOFlsREdSb25qOWxoSTBfNXJzMFluUjI3WWhDWDRpX2hEV2pWUVNSR2tXa0gtMDN3b2tkSXRrNlFuTHAwWG8?oc=5","publisher":"Fierce Healthcare","date":"2026-08-20","snippet":"Chutes & Ladders—Providence names new CFO; Humana taps new CMO Fierce Healthcare"},{"title":"2026 Healthcare Forecast Cloudy, But AI Rays Could Poke Through - Digital Health Wire","url":"https://news.google.com/rss/articles/CBMijwFBVV95cUxQQlBLdUtCdTM4empySGdZTDFPTGF0U1lzcG9WbF9vQW9CTi15WDlvUjNMcDQybkVuazFUUTFWSDE5STNHUnlhSUc1SlJ3Z2U3M1FtVFlnNW1FVmpRSEotM005SXNqQUswWGVoSzNaWE50NnE2RndFdWVuaWNjV1NMcHdWUlhFQWFpeTJxdTY4TQ?oc=5","publisher":"Digital Health Wire","date":"2026-07-30","snippet":"2026 Healthcare Forecast Cloudy, But AI Rays Could Poke Through Digital Health Wire"},{"title":"Weekly Recap: Alnylam (ALNY) Q2 revenue and AI partnerships - TradingView","url":"https://news.google.com/rss/articles/CBMiugFBVV95cUxQbXVWcUc1RHN0Y2o2R1hqXzM5NTB2MGxlWFNqMlh3NllNc05YRW5YaWlQRVBYcm1QOUJWZ0Mtdlo1cDB5dHlsY3ZSWm0xX1VvSm9XWE0tMWFfLWNZX1BwNkZzUXZFeTBMV0Q4OFM5YXJWSDh0aVpFYXRKRG16QkNERWtjX0Z0N0E0Mk5JZUo0VGNrVWZzTjF4dGxMV1hEemNuVnVDc0RqN2l4U0RRVU1odjI4Y3NENW81WlE?oc=5","publisher":"TradingView","date":"2026-08-03","snippet":"Weekly Recap: Alnylam (ALNY) Q2 revenue and AI partnerships TradingView"},{"title":"Top 10: Agentic AI Platforms for Life Sciences - Technology Magazine","url":"https://news.google.com/rss/articles/CBMiigFBVV95cUxOUlB4NGtiTmh5WGJodzBjZ3ozYkE1akNFaFFWNzhjcHFZbTVXVENpT0VtUG82Zzd2emtSc2RkN2Ftd3BWbEtRRThXMk1NdmQyS2Q4S3VYbjVRNEtiZmdDS3hVWnR2ODBPbXpJbDVDR3RRRmdGRVdyWnVTdTAzVDFfSmpfTGZpd1QzcXc?oc=5","publisher":"Technology Magazine","date":"2026-08-19","snippet":"Top 10: Agentic AI Platforms for Life Sciences Technology Magazine"},{"title":"US bars federal funding of gender-affirming care for low-income minors - Free Malaysia Today","url":"https://news.google.com/rss/articles/CBMiygFBVV95cUxPbHhGazN0VmZSQjc4RHB1cUhfSjlpdXdMYVRldEFxMi1sWHRYeGp1YjNWTGc0dWFGZ251WHFOdU1FUDRUVG14MnZ6S0NvTXhBclhXdWtqQmdUcWkwM0tkSnF0eV9VZ0NvVkhiU1NUSkNZTmNmeFVEQnBxTVFOZ3lxNFBmMVpNaFNKYzQ5cjNNRV9ta3BBejVvYUhZdXozV3F2ZWNlWmRsUm1VYUpscUQtWnMwY3o2RkNJS0lXbnZrTUNNVEVWaVdoU2Nn?oc=5","publisher":"Free Malaysia Today","date":"2026-08-12","snippet":"US bars federal funding of gender-affirming care for low-income minors Free Malaysia Today"}],"search_interest_index":null,"search_interest_trend":null,"wikipedia_monthly_views":null,"hn_mention_count":null,"hn_top_stories":[],"wayback_first_year":null,"sec_incorporation_state":null,"sec_latest_filing_type":null,"sec_latest_filing_date":null,"sec_filings":[],"research_papers_count":null,"research_citations_count":null,"research_h_index":null,"research_topics":[],"is_federal_contractor":null,"earnings_calendar":[],"industry_canonical":null,"enrichment_sources":[],"last_enriched_at":null},"hiring":{"total_jobs":27,"categories":[{"category":"engineering","count":10},{"category":"sales","count":4},{"category":"it","count":4},{"category":"consulting","count":4},{"category":"operations","count":2},{"category":"product management","count":1}],"experience_levels":[{"level":"senior","count":17},{"level":"staff","count":4},{"level":"executive","count":3},{"level":"mid","count":1}],"work_arrangements":[{"arrangement":"hybrid","count":17},{"arrangement":"remote","count":8}],"top_titles":[{"title":"Manager, Consulting","count":2},{"title":"Staff Platform Engineer (Pacific Time Zone)","count":1},{"title":"Staff Infrastructure Engineer","count":1},{"title":"Staff Data Engineer","count":1},{"title":"Staff Consultant, Research","count":1},{"title":"Solutions Architect","count":1},{"title":"Senior Salesforce Developer","count":1},{"title":"Senior Sales Engineer - Life Sciences","count":1},{"title":"Senior IT Operations Engineer","count":1},{"title":"Senior Data Quality Analyst","count":1},{"title":"Senior Data Product Manager","count":1},{"title":"Senior Data Platform Engineer","count":1},{"title":"Senior Data Engineer, Sentinel (Pacific Time Zone)","count":1},{"title":"Senior Consultant, Analytics Services","count":1},{"title":"Senior Analytics Consulting Manager","count":1}],"locations":[{"location":"united states","count":15},{"location":"india","count":6},{"location":"new york, ny","count":2},{"location":"united states, us","count":1},{"location":"united states (remote)","count":1},{"location":"remote, united states","count":1},{"location":"remote","count":1}],"skills":[{"skill":"Python","required":8,"preferred":2,"total":10},{"skill":"SQL","required":7,"preferred":1,"total":8},{"skill":"AWS","required":5,"preferred":2,"total":7},{"skill":"AI Tools","required":5,"preferred":1,"total":6},{"skill":"Data Analysis","required":5,"preferred":0,"total":5},{"skill":"AI Agentic Workflows","required":0,"preferred":5,"total":5},{"skill":"Project Management","required":5,"preferred":0,"total":5},{"skill":"Life Sciences","required":2,"preferred":3,"total":5},{"skill":"Analytical Skills","required":4,"preferred":0,"total":4},{"skill":"Healthcare","required":2,"preferred":1,"total":3},{"skill":"Communication","required":3,"preferred":0,"total":3},{"skill":"Problem-solving","required":3,"preferred":0,"total":3},{"skill":"Salesforce","required":1,"preferred":2,"total":3},{"skill":"Snowflake","required":1,"preferred":2,"total":3},{"skill":"Technology","required":2,"preferred":0,"total":2},{"skill":"Strategic Account Management","required":2,"preferred":0,"total":2},{"skill":"Artificial Intelligence","required":1,"preferred":1,"total":2},{"skill":"Pharmaceutical Experience","required":0,"preferred":2,"total":2},{"skill":"Client Relationship Management","required":2,"preferred":0,"total":2},{"skill":"Cloud-based Analytics Platforms","required":0,"preferred":2,"total":2}],"salary_stats":{"count":20,"min":120500,"q1":160000,"median":171000,"q3":215000,"max":269250},"job_types":[{"type":"full-time","count":25}],"latest_jobs":[{"id":"job_5aaa9e4b-1d0","title":"Director, Customer Support","source_url":"https://job-boards.greenhouse.io/komodohealth/jobs/8821921002","location":"United States","job_type":"full-time","experience_level":"executive","work_arrangement":"hybrid","category":"Operations","description":"<p>At Komodo Health, our mission is to reduce the global burden of disease through smarter use of data.</p>\n<p>As the Director, Customer Support, you will lead Komodo Health&#39;s front-line support organization, managing a team of support professionals and ensuring continuous improvement of the customer experience.</p>\n<p>Key accomplishments in the first 12 months:</p>\n<ul>\n<li>Raise the team&#39;s independent issue resolution rate significantly</li>\n<li>Develop a clear triage and escalation process with defined timing and ownership</li>\n<li>Collaborate with analytics, engineering, and product to close the loop on recurring issues</li>\n<li>Coach the team to troubleshoot claims and healthcare data issues with domain fluency</li>\n<li>Roll out AI-enabled intake and triage processes</li>\n<li>Define and execute the global support strategy</li>\n</ul>\n<p>Essential job duties:</p>\n<h4>Operational Excellence</h4>\n<ul>\n<li>Analyze root causes of unresolved issues and create a plan to raise containment</li>\n<li>Establish and track KPIs, including resolution rate, containment rate, and response times</li>\n<li>Improve issue triage, escalation, and closure</li>\n</ul>\n<h4>Customer &amp; Data Advocacy</h4>\n<ul>\n<li>Serve as the front door for customer issues, technical and data-related</li>\n<li>Escalate issues to engineering and product with sufficient context</li>\n</ul>\n<h4>Team Management</h4>\n<ul>\n<li>Manage a team of support professionals directly, coaching and training day-to-day</li>\n<li>Build skills and judgment for handling claims data and healthcare customer issues independently</li>\n<li>Manage resourcing, including offshore team members</li>\n</ul>\n<h4>Cross-functional Collaboration</h4>\n<ul>\n<li>Work with analytics, engineering, and product leads to fix triage and escalation gaps</li>\n<li>Represent support in conversations about product and data quality issues</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>8+ years in customer support or technical support, including 4+ years managing a team</li>\n<li>Background in engineering, business analysis, or solutions architecture</li>\n<li>Experience with claims data or life sciences/healthcare customers</li>\n<li>Track record of improving issue containment and building escalation processes</li>\n<li>Strong business judgment and familiarity with customer operational support systems</li>\n<li>Experience managing offshore or distributed team members</li>\n</ul>\n<p>Expectations of AI use:</p>\n<ul>\n<li>Use AI tools to triage issues, surface patterns, and speed up root-cause analysis</li>\n<li>Build and evaluate AI-enabled intake and support workflows</li>\n</ul>\n<p>The pay range for this role is: San Francisco Bay Area and New York City: $167,000-$197,000 USD All Other US Locations: $145,000-$175,000 USD</p>","enriched_at":1789769278859},{"id":"job_d07a6cd9-312","title":"Senior IT Operations Engineer","source_url":"https://job-boards.greenhouse.io/komodohealth/jobs/8820714002","location":"United States","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"IT","description":"<p>At Komodo Health, our mission is to reduce the global burden of disease through smarter use of data.</p>\n<p>The Senior IT Operations Engineer role involves automating manual processes, particularly the joiner/mover/leaver lifecycle, and owning the request types, routing, approvals, and SLA logic in Jira Service Management.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Automate the joiner/mover/leaver lifecycle end-to-end across Workday, Okta, Google Workspace, Jira Service Management, and downstream SaaS.</li>\n<li>Design, build, and own automation across the identity and service stack using Okta Workflows, orchestration platform recipes, Google Apps Script, and Python.</li>\n<li>Instrument and automate the IT service queue in Jira Service Management.</li>\n<li>Own configuration and governance for platforms such as Atlassian, Google Workspace, Slack, and Zoom.</li>\n<li>Build custom API integrations where native connectors do not exist.</li>\n<li>Own the SaaS and non-human identity lifecycle, including intake, security review, SSO, and license governance.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Proven experience automating IT and identity operations in a SaaS-first environment.</li>\n<li>Hands-on administration of Okta, including Okta Workflows, lifecycle management, and SCIM provisioning.</li>\n<li>Jira and Jira Service Management administration.</li>\n<li>Proficiency in Python or an equivalent scripting language.</li>\n<li>Experience building multi-step, event-driven flows in an integration or orchestration platform.</li>\n<li>Comfort working with RESTful APIs, JSON, and webhooks.</li>\n<li>Security-conscious by default.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive health, dental, and vision insurance.</li>\n<li>Flexible time off and holidays.</li>\n<li>401(k) with company match.</li>\n<li>Disability insurance and life insurance.</li>\n<li>Leaves of absence in accordance with applicable state and local laws and regulations and company policy.</li>\n</ul>\n<p>Salary Range:</p>\n<ul>\n<li>San Francisco Bay Area and New York City: $144,000-$180,000 USD</li>\n<li>All Other US Locations: $125,000-$155,000 USD</li>\n</ul>","enriched_at":1789769082537},{"id":"job_f3995050-61d","title":"Revenue Operations Manager","source_url":"https://job-boards.greenhouse.io/komodohealth/jobs/8817707002","location":"United States","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Operations","description":"<p>At Komodo Health, our mission is to reduce the global burden of disease through smarter use of data.</p>\n<p>The Revenue Operations team drives planning, operational excellence, and analytics that power Komodo&#39;s sales organization.</p>\n<p>As a Revenue Operations Manager, you will own the operating cadence, annual planning, and territory design for a core business segment.</p>\n<p>Key accomplishments in your first 12 months will include:</p>\n<ul>\n<li>Building and owning the annual planning process, including territory design for a core segment</li>\n<li>Managing reporting and forecasting cadences with sales leadership</li>\n<li>Building trusted relationships with new sales and cross-functional teams</li>\n<li>Using AI tools to automate recurring reporting and surface pipeline and forecast insights</li>\n<li>Identifying and closing process gaps</li>\n</ul>\n<p>Responsibilities include:</p>\n<ul>\n<li>Running the operating cadence for forecast calls, pipeline reviews, and QBRs</li>\n<li>Leading annual planning, capacity modeling, territory design, and quota setting</li>\n<li>Using AI platforms to automate recurring reporting and surface anomalies in pipeline and forecast data</li>\n<li>Partnering with sales and cross-functional leaders to identify and solve process gaps</li>\n<li>Driving strategic and operational initiatives</li>\n<li>Building strong relationships with sales teams</li>\n<li>Analyzing ad hoc business questions and translating findings into recommendations</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years in revenue operations, sales operations, or business operations, ideally in enterprise SaaS</li>\n<li>Comfortable owning ambiguity and operating through constant change</li>\n<li>Hands-on experience with modern RevOps tooling (e.g., Gong, Clari, Claude, Salesforce)</li>\n<li>Strong analytical skills</li>\n<li>Experience with annual planning, capacity modeling, and territory design</li>\n<li>Strong track record building relationships and driving adoption with new stakeholders</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience supporting segment-specific sales motions</li>\n<li>Experience presenting to VP or executive sales leadership</li>\n<li>SQL or advanced data manipulation skills</li>\n</ul>\n<p>The pay range for this role is: San Francisco Bay Area and New York City: $145,000-$175,000 USD All Other US Locations: $125,000-$155,000 USD</p>","enriched_at":1789679199852},{"id":"job_33d529e6-246","title":"Senior Data Platform Engineer","source_url":"https://job-boards.greenhouse.io/komodohealth/jobs/8807352002","location":"New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Komodo Health, our mission is to reduce the global burden of disease through smarter use of data.</p>\n<p>Join Komodo Health&#39;s Data Foundations team as a Senior Data Platform Engineer and play a critical role in shaping the core data products that fuel our Healthcare Map.</p>\n<p>The Opportunity at Komodo Health: As a Senior Data Engineer, you will design, build, operate, and improve large-scale data pipelines and foundational data products that power Komodo’s Healthcare Map, analytics products, and downstream AI/ML-enabled use cases.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Build, operate, and optimize large-scale production data pipelines using Python, SQL, Airflow, cloud infrastructure, and distributed processing frameworks.</li>\n<li>Transform massive healthcare claims, EHR, and reference datasets into trusted, performant Healthcare Map data products and serving-ready data assets.</li>\n<li>Strengthen pipeline reliability through data quality checks, validation, lineage, observability, monitoring, and alerting.</li>\n<li>Debug complex data, system, and performance issues across computationally intensive workflows.</li>\n<li>Partner with Data Product Quality, Product, Platform, and Engineering teams to translate healthcare data needs into scalable technical solutions.</li>\n<li>Contribute to system design, architecture, code quality, testing, documentation, CI/CD, and rotational production support.</li>\n<li>Enable downstream analytics, product, and AI/ML use cases through high-quality, well-modeled, reliable data.</li>\n</ul>\n<p>What you bring to Komodo Health:</p>\n<ul>\n<li>Healthcare data experience across claims, clinical, RWE, provider, patient, or life sciences datasets, including coding systems such as ICD-10, CPT, NDC, or NPI.</li>\n<li>Strong hands-on experience building, operating, and debugging production-grade data pipelines at scale.</li>\n<li>Advanced Python and SQL skills, with experience in Airflow or similar workflow orchestration tools.</li>\n<li>Experience with Spark or comparable distributed data processing frameworks.</li>\n<li>Proven experience designing and operating data solutions in AWS.</li>\n<li>Strong instincts for data quality, reliability, root-cause analysis, and production troubleshooting.</li>\n<li>Ability to communicate technical trade-offs clearly and collaborate with engineering, product, and data partners.</li>\n<li>Comfort using AI-assisted engineering tools for productivity, debugging, documentation, and technical exploration.</li>\n</ul>\n<p>Additional skills and experience we’d prioritize (nice to have):</p>\n<ul>\n<li>Experience delivering external-facing data products through customers, APIs, serving layers, or production access patterns.</li>\n<li>Ability to optimize high-scale data architectures for performance, cost, versioning, and large-volume productization.</li>\n<li>Experience applying AI or agentic workflows to engineering, data quality, delivery, or operations.</li>\n<li>Success in high-growth or ambiguous environments that require balancing architecture, speed, and quality.</li>\n</ul>\n<p>The pay range for this role is: San Francisco Bay Area and New York City: $196,000-$230,000 USD All Other US Locations: $170,000-$200,000 USD</p>","enriched_at":1789506313988},{"id":"job_5e96c663-5c7","title":"Senior Data Quality Analyst","source_url":"https://job-boards.greenhouse.io/komodohealth/jobs/8789344002","location":"New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"IT","description":"<p>At Komodo Health, our mission is to reduce the global burden of disease through smarter use of data.</p>\n<p>We are seeking a Senior Data Quality Analyst to join our Data Products team. The successful candidate will play a crucial role in defining, building, monitoring, and improving the quality of Komodo&#39;s Data Products.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Performing complex data analysis to assess completeness, consistency, and accuracy of data products</li>\n<li>Supporting the customer issue resolution process</li>\n<li>Implementing operational workflows that support end-to-end data quality</li>\n<li>Designing, maintaining, and implementing data quality assurance processes</li>\n<li>Managing the daily data issue resolution workflow</li>\n</ul>\n<p>In the first 12 months, you will:</p>\n<ul>\n<li>Become an expert with our healthcare datasets, especially data sources for Komodo&#39;s healthcare map</li>\n<li>Effectively partner with customer-facing teams to reconcile client requirements with data quality capabilities</li>\n<li>Identify and manage the resolution of data product bugs</li>\n<li>Implement and improve data quality monitoring for incoming source data</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Fluency with healthcare data, specifically claims, EHR, and lab data</li>\n<li>Analytical mindset with problem-solving skills</li>\n<li>Experience with SQL queries and relational databases</li>\n<li>Proficiency in scripting with Python</li>\n<li>Ability to work independently and collaboratively in a fast-paced environment</li>\n<li>Experience with testing data within a data warehouse or analytics DB</li>\n<li>Familiarity with version control systems like Git/GitHub</li>\n<li>Ability to leverage AI tools to enhance productivity and streamline workflows</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience interacting with, managing, or building AI agentic workflows</li>\n</ul>\n<p>The pay range for this role is:</p>\n<ul>\n<li>San Francisco Bay Area and New York City: $153,000-$179,000 USD</li>\n<li>All Other US Locations: $133,000-$156,000 USD</li>\n</ul>","enriched_at":1788977210901},{"id":"job_87b1032a-230","title":"Staff Consultant, Research","source_url":"https://job-boards.greenhouse.io/komodohealth/jobs/8769833002","location":"United States","job_type":"full-time","experience_level":"staff","work_arrangement":"hybrid","category":"Consulting","description":"<p>At Komodo Health, our mission is to reduce the global burden of disease through smarter use of data.</p>\n<p>The Evidence Intelligence team at Komodo Health applies health economics and outcomes research (HEOR) methods to real-world healthcare data, generating insights for life sciences, provider, and payer organizations.</p>\n<p>As a Staff Consultant, Research, you will:</p>\n<ul>\n<li>Design and execute research studies using real-world healthcare data sources</li>\n<li>Lead client conversations and working sessions, presenting findings and navigating questions in real time</li>\n<li>Distill complex datasets into clear, actionable insights and communicate them through reports, presentations, and dialogue</li>\n<li>Collaborate with cross-functional teams to integrate research insights into product development and strategy</li>\n<li>Evaluate and pilot new AI tools to improve research speed, quality, and client responsiveness</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>PhD or equivalent advanced degree in a quantitative field (e.g., epidemiology, biostatistics, health economics)</li>\n<li>Minimum of 5 years of experience in healthcare research or analytics, preferably in a client-facing consulting or industry setting</li>\n<li>Demonstrated client relationship management skills</li>\n<li>Experience conducting end-to-end RWE/HEOR studies</li>\n<li>AI-native fluency or a strong willingness to adapt</li>\n<li>Strong written and verbal communication skills</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience working with real-world healthcare data sources</li>\n<li>Knowledge of healthcare industry trends</li>\n<li>Familiarity with advanced statistical methods</li>\n<li>Experience building or using AI-powered analytics pipelines</li>\n</ul>\n<p>The pay range for this role is: San Francisco Bay Area and New York City: $160,000-$195,000 USD All Other US Locations: $139,000-$175,000 USD</p>","enriched_at":1788447871072},{"id":"job_27835fb6-515","title":"Principal Product Manager, AI Products","source_url":"https://job-boards.greenhouse.io/komodohealth/jobs/8750798002","location":"United States","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Product Management","description":"<p>We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease.</p>\n<p>The Opportunity at Komodo Health Komodo Health&#39;s AI Platform and Services organization builds the platform every AI product at Komodo runs on: agent infrastructure, evals, data context, and the surfaces customers touch.</p>\n<p>You will define the next generation of Komodo&#39;s product suite and prove it by building it.</p>\n<p>Looking back on your first 12 months at Komodo Health, you will have…</p>\n<ul>\n<li>Put a thesis on record for what the next generation of the suite is, argued in working software customers have touched, and won cross-functional and leadership support for it.</li>\n<li>Built the first version of at least two new products from that thesis yourself, then ran a pod of four or fewer from prototype to GA with no dedicated project management.</li>\n<li>Those products live in customer environments, with measurable revenue, adoption, or retention impact.</li>\n<li>Made the current suite smaller.</li>\n</ul>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the thesis for what customers touch.</li>\n<li>Build first versions with AI tools and platform primitives.</li>\n<li>Deploy forward.</li>\n<li>Propose and defend the shape of the growing portfolio.</li>\n<li>Set the pattern.</li>\n</ul>\n<p>What the next generation of the suite actually is remains an open question, and today it needs ownership.</p>\n<p>Requirements:</p>\n<ul>\n<li>Builds the first version.</li>\n<li>AI native at product depth.</li>\n<li>Forward deployed instinct.</li>\n<li>Zero to one at Principal scope.</li>\n<li>Excellent written communication.</li>\n<li>Ability to leverage AI tools to enhance personal productivity.</li>\n</ul>\n<p>Additional skills and experience we’d prioritize:</p>\n<ul>\n<li>Healthcare or regulated data experience.</li>\n<li>Experience interacting with, managing, or building with AI agentic workflows.</li>\n</ul>\n<p>The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US.</p>\n<p>San Francisco Bay Area and New York City: $245,000-$331,000 USD All Other US Locations: $213,000-$288,000 USD</p>","enriched_at":1787922178897},{"id":"job_72fda883-f06","title":"Senior Data Product Manager","source_url":"https://job-boards.greenhouse.io/komodohealth/jobs/8752285002","location":"Remote, United States","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"IT","description":"<p>We are seeking a Senior Data Product Manager to join our team at Komodo Health. As a Senior Data Product Manager, you will play a crucial role in driving the development and innovation of our core data products. You will work closely with engineers to define our product strategy and execute on our growing suite of data products.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop fluency in our data through a customer lens</li>\n<li>Lead discovery into customer use cases and build an evidence-based point of view on where Komodo is uniquely positioned to win</li>\n<li>Ship marked improvements to one or more core data products</li>\n<li>Identify, scope, and validate new data product opportunities or significant enhancements to existing products</li>\n<li>Build a prioritized, evidence-backed backlog that the team and stakeholders trust</li>\n<li>Earn trust as a thought partner to Data Engineering and the commercial-facing team</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Experience in a data-focused role at a B2B technology or software company, with prior product management experience a strong plus</li>\n<li>Real technical depth, including the ability to write and understand SQL, reason about data models and pipelines, and engage substantively with engineers</li>\n<li>Working knowledge of statistical data analysis and the judgment to notice when they are being misapplied</li>\n<li>Experience with US healthcare data and an understanding of the questions life sciences teams bring to it</li>\n<li>Curiosity about how data and systems are built and where they break, paired with the drive to go find the answer and comfort in not knowing something for a while</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive health, dental, and vision insurance</li>\n<li>Flexible time off and holidays</li>\n<li>401(k) with company match</li>\n<li>Disability insurance and life insurance</li>\n<li>Leaves of absence in accordance with applicable state and local laws and regulations and company policy</li>\n</ul>\n<p>Salary Range:</p>\n<ul>\n<li>San Francisco Bay Area and New York City: $186,000-$252,000 USD</li>\n<li>All Other US Locations: $162,000-$219,000 USD</li>\n</ul>","enriched_at":1787835751805},{"id":"job_35f05f4d-d5a","title":"Staff Infrastructure Engineer","source_url":"https://job-boards.greenhouse.io/komodohealth/jobs/8729916002","location":"United States","job_type":"full-time","experience_level":"staff","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Komodo Health, our mission is to reduce the global burden of disease through smarter use of data. We&#39;re building the Healthcare Map, the industry&#39;s largest and most complete view of the U.S. healthcare system, combining de-identified patient data with innovative algorithms and clinical experience.</p>\n<p>As a Staff Infrastructure Engineer, you will join the Infrastructure team, which builds, operates, and improves the cloud-native stack for the entire engineering organization. You&#39;ll focus on AWS, Kubernetes, Terraform, ArgoCD, and GitHub Actions, along with shared services like identity and access, API gateway, and traffic management.</p>\n<p>Your key accomplishments in the first 12 months will include:</p>\n<ul>\n<li>Establishing AI-assisted workflows as the team&#39;s default operating model</li>\n<li>Bringing inherited shared services under infrastructure-as-code with documented ownership and modernization roadmaps</li>\n<li>Delivering measurable cloud cost reduction and a reusable framework for cost vs. reliability tradeoffs</li>\n<li>Improving platform currency and upgrade discipline across shared services</li>\n<li>Reducing developer friction and support toil through automation</li>\n</ul>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the architecture, operating model, and modernization roadmap for cloud infrastructure and shared services</li>\n<li>Design, build, and operate AWS and Kubernetes infrastructure as code using Terraform, GitOps, and CI/CD</li>\n<li>Set standards and safe patterns for AI-assisted infrastructure work</li>\n<li>Harden security and compliance posture, focusing on least-privilege IAM and RBAC, identity and access management, and secrets hygiene</li>\n<li>Drive infrastructure optimization across reliability, scalability, developer experience, and cost</li>\n<li>Raise the technical bar across the infrastructure team through design review, mentorship, and enablement</li>\n<li>Participate in and improve the shared on-call rotation, incident response, and alerting</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>8+ years of experience in infrastructure, cloud, or platform engineering with deep hands-on AWS experience</li>\n<li>Proficiency with infrastructure-as-code using Terraform</li>\n<li>Kubernetes platform ownership experience</li>\n<li>Track record of taking ownership of ambiguous or under-documented systems</li>\n<li>Fluency with AI-assisted engineering tools and sound judgment on their application</li>\n<li>Security and compliance fluency in a regulated environment</li>\n<li>Staff-level partnership and influence</li>\n</ul>\n<p>Preferred skills and experience:</p>\n<ul>\n<li>Identity and access platforms: Okta, OIDC, SAML</li>\n<li>API gateway and service networking: Envoy</li>\n<li>Scripting and automation in Python, Go, or Bash</li>\n<li>FinOps or cloud cost-optimization program experience</li>\n<li>Observability at platform scale</li>\n<li>Familiarity with cloud data warehouses like Snowflake</li>\n</ul>\n<p>The pay range for this role is: San Francisco Bay Area and New York City: $215,000-$265,000 USD All Other US Locations: $187,000-$235,000 USD</p>","enriched_at":1787213095257},{"id":"job_e76e60ed-04c","title":"Implementation Operations Engineer – AI Solutions","source_url":"https://job-boards.greenhouse.io/komodohealth/jobs/8725146002","location":"Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>At Komodo Health, our mission is to reduce the global burden of disease through smarter use of data.</p>\n<p>The Implementation Operations team owns customer implementations, recurring data refreshes, production deliveries, operational support, and technical onboarding.</p>\n<p>As an Implementation Operations Engineer – AI Solutions, you will:</p>\n<ul>\n<li>Own end-to-end implementation operations, including customer onboarding, recurring data deliveries, production workflows, and operational support.</li>\n<li>Support AI-enabled implementations and onboarding by partnering with relevant technical and cross-functional teams.</li>\n<li>Execute and validate production deliveries while maintaining high standards for data quality, timeliness, documentation, and customer impact.</li>\n<li>Collaborate closely with Product, Engineering, DPQ, Customer Success, and Technical Engagement to resolve issues and deliver customer outcomes.</li>\n<li>Use GenAI tools and AI capabilities to improve productivity, accelerate technical workflows, and identify opportunities for operational improvement.</li>\n<li>Drive automation, documentation, and process improvements that make implementation operations more scalable and reliable.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Strong SQL and data fundamentals, with the ability to investigate data, validate outputs, and troubleshoot delivery workflows.</li>\n<li>Curiosity and aptitude to learn AI technologies and AI-enabled implementation workflows.</li>\n<li>Experience working with APIs, cloud platforms, or modern data ecosystems.</li>\n<li>Strong ownership, communication, and stakeholder management skills across technical and non-technical partners.</li>\n<li>Comfort working through ambiguity, learning new systems, and taking initiative to solve problems.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with Snowflake, AWS, Python, or Airflow.</li>\n<li>Healthcare or Life Sciences industry experience.</li>\n<li>SaaS implementation or technical onboarding experience.</li>\n<li>Familiarity with GenAI tools and AI-enabled workflows.</li>\n</ul>","enriched_at":1787126582870}],"category_normalised":[{"category":"engineering","count":11},{"category":"sales","count":4},{"category":"it","count":4},{"category":"consulting","count":4},{"category":"operations","count":2}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":1},{"week_start":"2026-05-04","count":1},{"week_start":"2026-05-11","count":2},{"week_start":"2026-05-25","count":1},{"week_start":"2026-06-08","count":1},{"week_start":"2026-06-15","count":6},{"week_start":"2026-06-22","count":2},{"week_start":"2026-07-06","count":2},{"week_start":"2026-07-20","count":1},{"week_start":"2026-08-17","count":2},{"week_start":"2026-08-24","count":2},{"week_start":"2026-08-31","count":1},{"week_start":"2026-09-07","count":1},{"week_start":"2026-09-14","count":4}],"trend":"stable","wow_pct":300},"momentum":{"recent_14d":5,"prior_14d":3,"growth_pct":67,"classification":"stable"},"salary_vs_industry":{"company_median":166000,"industry_median":null,"percentile":null,"sample_size":15,"by_region":[{"region":"United States","company_median":164750,"industry_median":null,"sample":14}],"transparency_pct":56,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":27,"industry_total":27,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.266,"skill_weighted_score":0.277,"top_exposed_titles":[],"top_exposed_skills":[{"skill":"Data Analysis","count":3,"score":0.357},{"skill":"AI Agentic Workflows","count":4,"score":0.34},{"skill":"AI Tools","count":4,"score":0.34},{"skill":"Python","count":8,"score":0.264},{"skill":"SQL","count":6,"score":0.264},{"skill":"AWS","count":6,"score":0.235},{"skill":"Snowflake","count":3,"score":0.174}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":19,"share_pct":70.4},{"region":"India","count":6,"share_pct":22.2},{"region":"Remote","count":2,"share_pct":7.4}],"emerging":[{"region":"United States","recent_30d":7,"prior_30d":2,"growth_pct":250}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":1,"exec_prior_90d_avg":0.3,"exec_growth_pct":233,"notable_exec_hires":[{"title":"Director, Customer Support","location":"United States","posted_at":"2026-09-18"}]},"posting_dynamics":{"median_days_open":42,"industry_median_days_open":null,"long_open_count":12,"closure_rate_pct":62}}}}