{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/at/komodo-health"},"x-facet":{"type":"company","slug":"komodo-health","display":"Komodo Health","count":18},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4e6792dc-8f7"},"title":"Sr. Director, Infrastructure, SRE, & Security","description":"<p>We are seeking a Sr. Director, Infrastructure, SRE, &amp; Security to lead our Infrastructure, SRE &amp; Security team in building the cloud and data infrastructure that enables our AI platform.</p>\n<p>As a key member of our Engineering department, you will be responsible for owning the architecture, reliability, and cost efficiency of our cloud infrastructure, driving full IaC coverage and leading Kubernetes operations at scale.</p>\n<p>You will also own data infrastructure operations, cost governance, and security hardening, partnering with Data Product Engineering on modernizing data delivery infrastructure.</p>\n<p>In addition, you will lead security posture management across cloud, application, and identity layers, defining and instrumenting cost-per-unit metrics, implementing per-team budgets with automated alerting, and giving leadership direct visibility into infrastructure efficiency.</p>\n<p>You will operate internal developer platforms with self-service onboarding, CI/CD, and observability infrastructure that improves engineering velocity.</p>\n<p>You will also own incident response, on-call rotations, and post-mortem processes, driving reduction in preventable operational incidents and maintaining high availability SLAs.</p>\n<p>Lastly, you will lead, recruit, and grow a globally distributed team of cloud, data, and security engineers, fostering a culture of ownership and technical excellence.</p>\n<p>What you bring to Komodo Health:</p>\n<ul>\n<li>8+ years in infrastructure, SRE, or platform engineering;</li>\n<li>3+ years leading teams in an AI/ML-intensive environment;</li>\n<li>Hands-on experience with AI workload infrastructure , LLM serving, agent orchestration, GPU compute, or ML pipelines , and the reliability and cost challenges they introduce;</li>\n<li>Deep AWS and production Kubernetes expertise (EKS, autoscaling, multi-cluster management) and strong IaC discipline (Terraform or equivalent);</li>\n<li>Demonstrated track record of driving significant cloud cost reduction through systematic FinOps , team-level budgets, cost-per-unit metrics, and leadership-facing dashboards;</li>\n<li>Practical security and compliance experience , cloud posture management, vulnerability lifecycle, IAM, and SOC 2 or equivalent frameworks; comfort in regulated environments;</li>\n<li>Strong executive communication skills , able to translate infrastructure strategy into business outcomes for CTO, Finance, Legal, and Product stakeholders;</li>\n<li>Active user of AI tools in your own workflow; track record of driving AI-assisted automation adoption within your teams</li>\n</ul>\n<p>AI Use Expectations:</p>\n<ul>\n<li>Use AI coding tools (Copilot, Cursor, Claude Code, or equivalent) to accelerate IaC authoring, runbook generation, and infrastructure automation;</li>\n<li>Leverage AI-assisted observability and incident triage to reduce MTTR and surface patterns across system telemetry;</li>\n<li>Evaluate and adopt AI-native DevOps tooling; set the standard for responsible AI use across the team</li>\n</ul>\n<p>Additional skills and experience we’d prioritize (nice to have):</p>\n<ul>\n<li>Snowflake administration and data infrastructure experience at scale;</li>\n<li>Multi-cloud environment experience (AWS + GCP);</li>\n<li>Healthcare, life sciences, or regulated industry background;</li>\n<li>Experience with security automation or agentic security workflows;</li>\n<li>Familiarity with data pipeline technologies (Spark, Airflow, Temporal);</li>\n<li>Experience supporting multi-tenant SaaS infrastructure</li>\n</ul>\n<p>The pay range for this role is $225,000-$270,000 USD per year, depending on location. This position may be eligible for performance-based bonuses and equity awards.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4e6792dc-8f7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Komodo Health","sameAs":"https://www.komodohealth.com/","logo":"https://logos.yubhub.co/komodohealth.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/komodohealth/jobs/8515802002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$225,000-$270,000 USD","x-skills-required":["Cloud infrastructure","Kubernetes","IaC","Security engineering","Data infrastructure","FinOps","DevOps","AI native DevOps tooling"],"x-skills-preferred":["Snowflake administration","Multi-cloud environment","Healthcare, life sciences, or regulated industry background","Security automation","Agentic security workflows","Data pipeline technologies","Multi-tenant SaaS infrastructure"],"datePosted":"2026-04-24T16:04:32.207Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"Cloud infrastructure, Kubernetes, IaC, Security engineering, Data infrastructure, FinOps, DevOps, AI native DevOps tooling, Snowflake administration, Multi-cloud environment, Healthcare, life sciences, or regulated industry background, Security automation, Agentic security workflows, Data pipeline technologies, Multi-tenant SaaS infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":225000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_145b57d1-516"},"title":"Senior Data Quality Analyst","description":"<p>We Breathe Life Into Data</p>\n<p>At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map , the industry’s largest, most complete, precise view of the U.S. healthcare system , by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience.</p>\n<p>The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviours and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.</p>\n<p>As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease , and enjoy the journey along the way.</p>\n<p><strong>The Opportunity at Komodo Health</strong></p>\n<p>Quality is core to Komodo Health’s mission to reduce the global burden of disease. As we scale the Healthcare Map and AI-driven products, the need for independent, rigorous data quality oversight is critical. We’re not hiring a traditional QA or testing specialist. We’re looking for an analytically rigorous, detail-oriented professional who knows pipelines can run flawlessly yet produce analytically wrong data,and that meeting specs doesn’t always mean meeting customer needs.</p>\n<p>This is where the Senior Data Quality Analyst comes in. You’ll be the independent voice on data outputs,asking not just “did it run?” but “does this make sense for the customer?” Grounded in how customers use healthcare data, you’ll drive the analysis and quality monitoring needed to ensure it delivers real value.</p>\n<p><strong>Role Mission &amp; Mandate</strong></p>\n<p>The Senior Data Quality Analyst will own three standing operational responsibilities that are critical to Komodo’s weekly data delivery and major version release process:</p>\n<ul>\n<li>Data output validation: Run pre/post-release comparisons across key attributes to ensure changes meet data quality standards,not just engineering specs.</li>\n</ul>\n<ul>\n<li>Bug investigation support: Investigate issues from customer complaints and monitoring, document findings, and partner with engineering on root cause and resolution.</li>\n</ul>\n<ul>\n<li>Weekly publication review preparation: Assemble the execution summary, test coverage audit, and issue disposition list to support DPQ’s Monday release recommendation.</li>\n</ul>\n<p><strong>Why This Role, Why Now</strong></p>\n<p>Komodo’s Data Product org is evolving,formalizing quality ownership, embedding automated QA, and establishing DPQ as the independent voice for every release. You’re joining at the moment that authority is being defined and put into practice.</p>\n<p><strong>Looking back on your first 12 months at Komodo Health, you will have...</strong></p>\n<p><strong>I. Data Output Validation (primary focus)</strong></p>\n<p>The core of this role is independently assessing whether Komodo’s data outputs are analytically sound,ensuring the data tells the right story for customers, not just that the engineering works.</p>\n<ul>\n<li>Release validation: Design and run pre/post-release comparisons across key attributes (patient counts, claim volumes, fill rates, deduplication, payer attribution, provider coverage).</li>\n</ul>\n<ul>\n<li>Anomaly identification: Surface and document issues missed by automated tests,valid but suspicious patterns like demographic shifts, volume changes, or rule edge cases.</li>\n</ul>\n<ul>\n<li>Disposition recommendations: For each issue, assess what changed, customer impact, and recommend action (approve, conditional approve, hold, or escalate).</li>\n</ul>\n<ul>\n<li>Coverage documentation: Track what was tested, what passed, and accepted risks for each release,creating an auditable quality trail.</li>\n</ul>\n<p><strong>II. Bug Investigation &amp; Root Cause Analysis</strong></p>\n<p>Data quality issues rarely surface clearly,this role requires the rigor to navigate ambiguity and the precision to communicate findings to both technical and non-technical stakeholders.</p>\n<ul>\n<li>Issue triage: Review and prioritize DPQ Jira issues, distinguishing data output problems (DPQ), pipeline failures (engineering), and cases needing joint investigation.</li>\n</ul>\n<ul>\n<li>Hands-on investigation: Query Snowflake to trace anomalies to source, validate against expectations, and rule out alternatives.</li>\n</ul>\n<ul>\n<li>Findings documentation: Produce clear reports outlining the issue, evidence, likely cause, and next steps for both technical and non-technical audiences.</li>\n</ul>\n<ul>\n<li>Resolution coordination: Partner with Data Engineering and Architects to drive resolution and verify fixes address the root issue.</li>\n</ul>\n<p><strong>III. Weekly Publication Review Preparation</strong></p>\n<p>Each week, Komodo publishes updated data. DPQ owns the release recommendation at the Monday meeting, and this role assembles the inputs that inform that decision.</p>\n<ul>\n<li>Pipeline execution summary: Compile a weekly record of which data pipelines ran, their completion status, any anomalies in run time or output volume, and a comparison against expected behavior.</li>\n</ul>\n<ul>\n<li>Test coverage audit: For each pipeline that ran during the week, document which quality checks were expected to execute and which did, surfacing any gaps in coverage that require manual review or escalation.</li>\n</ul>\n<ul>\n<li>Issue consolidation: Aggregate all quality issues raised during the week , from automated alerts, manual testing, and customer reports , into a single structured view with status, severity, and recommended disposition.</li>\n</ul>\n<ul>\n<li>Release recommendation package: Prepare the DPQ release recommendation document in advance of the Monday meeting, enabling DPQ leadership to review and present a confident, evidence-based recommendation.</li>\n</ul>\n<p><strong>What you bring to Komodo Health</strong></p>\n<p>This role rewards people who are energized by the gap between “it ran as designed” and “it’s actually right.” The ideal candidate is:</p>\n<ul>\n<li>Intellectually curious: Driven to investigate the unknown in complex data,never taking outputs at face value and always digging for root cause.</li>\n</ul>\n<ul>\n<li>Analytically rigorous: Go beyond error checks,spot missing data, unexpected trends, and subtle signals that something’s off.</li>\n</ul>\n<ul>\n<li>Customer-aware: Define quality by whether customers can answer real healthcare questions,not just whether tests pass.</li>\n</ul>\n<ul>\n<li>Precise communicator: Write clear, actionable reports for engineers and accessible summaries for non-technical partners.</li>\n</ul>\n<ul>\n<li>Operationally reliable: Consistently deliver a complete, on-time release package for the weekly publication meeting.</li>\n</ul>\n<p><strong>Technical Skills &amp; Experience</strong></p>\n<ul>\n<li>Experience: 6+ years of experience in data quality, data analysis, or analytics engineering , preferably in healthcare, life sciences, or another domain with complex, multi-source data.</li>\n</ul>\n<ul>\n<li>SQL proficiency: Strong SQL skills for large-scale analysis,joins, window functions, aggregations, and tracing data lineage. Snowflake preferred.</li>\n</ul>\n<ul>\n<li>Data investigation: Proven ability to work through ambiguous issues from signal to root cause,ruling out as well as ruling in.</li>\n</ul>\n<ul>\n<li>Structured QA process: Experience designing or executing pre/post release testing, including defining attributes, tolerances, and escalation criteria.</li>\n</ul>\n<ul>\n<li>Python (preferred): Comfortable using Python for analysis, validation, and light automation,able to read and adapt existing scripts.</li>\n</ul>\n<ul>\n<li>Healthcare data (required): Familiarity with claims data (medical, pharmacy, enrollment) and common quality patterns and failure modes.</li>\n</ul>\n<p><strong>Expectations of AI Use in this role</strong></p>\n<ul>\n<li>Ability to leverage AI tools (Gemini, Claude, Cursor, etc.) to enhance personal productivity, streamline workflows, content and visualization creation.</li>\n</ul>\n<p><strong>What This Role Is Not</strong></p>\n<p>We want candidates to be clear-eyed about the scope of this role:</p>\n<ul>\n<li>This is not a data engineering role,you won’t build or maintain pipelines.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_145b57d1-516","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Komodo Health","sameAs":"https://www.komodohealth.com/","logo":"https://logos.yubhub.co/komodohealth.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/komodohealth/jobs/8521862002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Snowflake","Python","Data investigation","Structured QA process","Healthcare data"],"x-skills-preferred":["Gemini","Claude","Cursor"],"datePosted":"2026-04-24T16:04:01.116Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"SQL, Snowflake, Python, Data investigation, Structured QA process, Healthcare data, Gemini, Claude, Cursor"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_956ba265-d67"},"title":"Senior Applied AI Engineer (Observability)","description":"<p>We&#39;re hiring a Senior Applied AI Engineer to join our AI Platform/Observability team. You will be responsible for building the foundation that makes AI systems trustworthy at scale. This is a backend-heavy, systems-focused role in a greenfield environment.</p>\n<p>Your starting point will be AI observability, evaluation, and production reliability. From there, your scope expands into broader platform ownership: agent systems, orchestration layers, and shared infrastructure. Observability is the entry point,not the end state.</p>\n<p>In this role, you will:</p>\n<ul>\n<li>Build the observability and reliability foundation for AI systems across Komodo (logging, tracing, evaluation pipelines, feedback loops)</li>\n<li>Define how the organization measures LLM performance and quality in production (hallucinations, drift, latency, failure modes)</li>\n<li>Ship production-grade AI systems that improve platform reliability, scalability, and performance</li>\n<li>Lead design and architecture for complex applied AI systems (multi-agent workflows, tool-calling systems, model pipelines)</li>\n<li>Establish evaluation frameworks and experimentation practices (A/B testing, offline + online evaluation)</li>\n</ul>\n<p>You will drive experimentation across the organization, set best practices, and integrate new AI techniques into Komodo’s broader engineering ecosystem.</p>\n<p>Additional responsibilities include:</p>\n<ul>\n<li>Contributing to reusable infrastructure, patterns, and standards adopted across teams</li>\n<li>Partnering with product, data, and platform teams to shape AI-driven solutions</li>\n</ul>\n<p>We&#39;re looking for someone with strong expertise in LLMs and prompt systems, agent orchestration, and tool/function calling. You should have hands-on experience with AI observability, evaluation, or monitoring systems, debugging and improving production AI behavior, and strong backend engineering skills.</p>\n<p>As a Senior Applied AI Engineer, you will be part of a team that is shaping the future of healthcare intelligence. You will have the opportunity to work on cutting-edge projects, collaborate with experts in the field, and make a meaningful impact on the company&#39;s mission.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_956ba265-d67","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Komodo Health","sameAs":"https://www.komodohealth.com/","logo":"https://logos.yubhub.co/komodohealth.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/komodohealth/jobs/8512224002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230,000-$270,000 USD","x-skills-required":["LLMs","prompt systems","agent orchestration","tool/function calling","AI observability","evaluation","monitoring systems","debugging","production AI behavior","backend engineering"],"x-skills-preferred":[],"datePosted":"2026-04-24T16:03:34.637Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"LLMs, prompt systems, agent orchestration, tool/function calling, AI observability, evaluation, monitoring systems, debugging, production AI behavior, backend engineering","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d5ac3046-dbb"},"title":"Manager, Information Technology","description":"<p>We are seeking an experienced Manager, Information Technology to join our team. 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optimization of IT tools and workflows: evaluate new solutions (e.g., automation via Workato, AI-powered service delivery), manage vendor relationships, and communicate changes to stakeholders.</li>\n<li>Manage infrastructure and systems administration: oversee device fleet management via Kolide, network management via Cisco Meraki, and internal tool configurations (Slack, Zoom, Confluence, Glean, Lucidchart).</li>\n<li>Partner on security, compliance, and data privacy: ensure team follows security best practices, manage access controls, handle identity governance via Okta, and balance privacy considerations when introducing new tools (especially AI-powered solutions).</li>\n<li>Create and maintain documentation: develop runbooks, knowledge base articles, and process diagrams that capture team procedures and reduce single points of failure.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years of IT management or team leadership experience, with demonstrated success building and scaling high-performing teams.</li>\n<li>Hands-on experience with user and computer management tools, ideally including directory services (Google Workspace, O365), identity/access management (Okta), and ticketing systems (Jira Service Management or similar).</li>\n<li>Proven background in helpdesk, IT support, or user services, with deep understanding of the IT service delivery lifecycle.</li>\n<li>Strong team leadership and people management skills: ability to mentor, develop, and hold direct reports accountable while fostering psychological safety and growth.</li>\n<li>Experience with IT automation, integration platforms, or workflow optimization (e.g., Workato, Zapier, API integrations, or scripting).</li>\n</ul>\n<p>Expectations of AI Use in this role:</p>\n<ul>\n<li>Leverage AI-powered tools (Google Gemini, Claude, Notebook LM, and similar) to streamline IT service delivery,e.g., using AI to draft documentation, analyze ticket patterns, and propose automation opportunities.</li>\n<li>Lead thoughtful adoption of AI-enhanced tools while managing associated data privacy, security, and change-management considerations with your team.</li>\n<li>Model responsible AI use and guide your team in identifying where AI can improve efficiency without compromising security or user trust.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience leveraging AI-powered tools and automation to enhance IT service delivery, while managing associated data privacy, security, and change-management considerations.</li>\n<li>Familiarity with low-code/no-code platforms (Workato, Zapier) and integration patterns that reduce manual IT overhead.</li>\n<li>Knowledge of cloud identity and access management (Google Workspace, Okta, Entra ID).</li>\n<li>Experience with network management tools (Cisco Meraki or similar) or endpoint management platforms (Kolide, Jamf, Intune).</li>\n<li>Background in a fast-growing, high-growth tech company or healthcare data 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project, ensuring successful delivery and customer satisfaction.</li>\n<li>Drive account expansion and growth by fostering deeper engagement across the existing account base.</li>\n<li>Proactively identify and pursue new opportunities within a dedicated portfolio of top 20 accounts, focusing on strategic growth and value creation.</li>\n</ul>\n<p>Value Delivery:</p>\n<ul>\n<li>Communicate/evangelize the value delivered and ROI for renewals and existing business</li>\n<li>Prepare for and lead QBRs</li>\n<li>Ensure effective management of customer escalations in collaboration with the Engagement Lead to drive resolution and maintain client satisfaction</li>\n</ul>\n<p>Account Growth:</p>\n<ul>\n<li>Proactively educate stakeholders on new services and product features in coordination with Solution Leads</li>\n<li>Ensure BANT and secure budget for renewals, managed services on existing business</li>\n<li>Ensure BANT and secure the budget for certain allowed upsells on existing business: Additional Mavens assets, including Medical Information Cloud, Publications Planning, Care Connect, or Grants Management</li>\n<li>Engage regularly with buyers / key decision makers for existing business</li>\n<li>Develop all renewal/expansion collateral</li>\n<li>Identify other upsell opportunities</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>10+ years overall working experience in the biopharma industry, with 10+ years in a client-facing role as a consultant or life sciences software/service provider</li>\n<li>Prior experience in sales or delivery of software/consulting services with penetration into multiple customer groups, experience selling, deploying, or servicing cloud-based SaaS product offerings to Life Sciences customers, specifically related to Force.com</li>\n<li>Effective communication and storytelling skills, and the ability to successfully communicate with a variety of levels within a biopharma organization</li>\n<li>Strong project coordination and account management skills, with a passion for delivering tailored solutions and driving customer success through strategic planning and execution</li>\n<li>Impeccable project management skills and the ability to influence without authority using Salesforce, Salesloft, and/or Qualified.io</li>\n<li>A track record of consistently meeting or exceeding department goals and/or customer satisfaction, with comfort in providing recommendations and solutions based on rigorous research and analysis underpinned by deep expertise and thought leadership</li>\n<li>Demonstrated ability to work with and manage relationships with customers and partners at a senior management and director level</li>\n<li>Experience with structuring client deliverables using AI/GenAI tools to streamline, automate, or enhance your ability to “tell the story” with supporting analysis in a clear and effective manner</li>\n</ul>\n<p>Preferred Skills:</p>\n<ul>\n<li>Network of medical affairs and/or commercial teams within the pharma 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As a Staff Applied AI Engineer, you will be a cross-functional AI leader and strategic thought partner. This role exists to define Komodo&#39;s long-term AI capabilities, set company-wide technical standards, architect foundational AI systems, and guide teams toward scalable, safe, and innovative AI development.</p>\n<p>You will influence data strategy, drive build-vs-buy evaluations, and meaningfully shift Komodo&#39;s AI-native infrastructure and culture. 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They will have extensive experience architecting end-to-end AI systems, multi-agent architectures, and large-scale orchestration frameworks. They will also have strong fluency in Python, GenAI frameworks (vLLM, Strands, Crew AI), and full-stack system integration.</p>\n<p>We offer a competitive salary range of $274,000-$322,000 USD per year, depending on location. This role may be eligible for performance-based bonuses and equity awards. We also offer comprehensive health, dental, and vision insurance, flexible time off and holidays, 401(k) with company match, disability insurance and life insurance, and leaves of absence in accordance with applicable state and local laws and regulations and company policy.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0c6077e7-8e1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Komodo Health","sameAs":"https://www.komodohealth.com/","logo":"https://logos.yubhub.co/komodohealth.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/komodohealth/jobs/8512187002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$274,000-$322,000 USD","x-skills-required":["applied AI","data strategy","build-vs-buy evaluations","AI-native infrastructure","data orchestration","Python","GenAI frameworks","full-stack system integration"],"x-skills-preferred":["deep healthcare data","healthcare system expertise","large-scale distributed data and compute systems"],"datePosted":"2026-04-18T15:50:57.542Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"applied AI, data strategy, build-vs-buy evaluations, AI-native infrastructure, data orchestration, Python, GenAI frameworks, full-stack system integration, deep healthcare data, healthcare system expertise, large-scale distributed data and compute systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":274000,"maxValue":322000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d2b1604a-c20"},"title":"Applied AI Engineer","description":"<p>We are seeking an Applied AI Engineer to join our team at Komodo Health. As an Applied AI Engineer, you will design and deploy end-to-end AI solutions that power real products and internal tools. You&#39;ll work at the intersection of applied research, engineering, and product development, bringing modern AI techniques into scalable production systems.</p>\n<p>You will collaborate closely with product, platform, and data teams to build AI capabilities that transform how healthcare data is explored, understood, and operationalized. Your work will involve designing, building, and deploying agent-based AI pipelines integrated into real customer-facing products, as well as building internal AI productivity tools that accelerate engineering workflows across Komodo.</p>\n<p>In this role, you will have the opportunity to work on a wide range of projects, from developing AI-powered applications to integrating AI capabilities across backend services and product interfaces. You will also contribute reusable patterns to Komodo&#39;s AI infrastructure and internal tooling ecosystem.</p>\n<p>To be successful in this role, you will need to have experience building production-grade AI systems or AI-powered applications, strong proficiency in Python, and experience working with LLMs, prompt engineering, or agent-based architectures. You will also need to be able to integrate AI capabilities across backend services and product interfaces, and have experience designing evaluation frameworks, testing strategies, or monitoring systems for AI features.</p>\n<p>If you are passionate about using AI to drive innovation and improvement in healthcare, and have the skills and experience to succeed in this role, we encourage you to apply.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Design and deploy end-to-end AI solutions that power real products and internal tools</li>\n<li>Collaborate closely with product, platform, and data teams to build AI capabilities that transform how healthcare data is explored, understood, and operationalized</li>\n<li>Develop agent-based AI pipelines integrated into real customer-facing products</li>\n<li>Build internal AI productivity tools that accelerate engineering workflows across Komodo</li>\n<li>Contribute reusable patterns to Komodo&#39;s AI infrastructure and internal tooling ecosystem</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Experience building production-grade AI systems or AI-powered applications</li>\n<li>Strong proficiency in Python</li>\n<li>Experience working with LLMs, prompt engineering, or agent-based architectures</li>\n<li>Ability to integrate AI capabilities across backend services and product interfaces</li>\n<li>Experience designing evaluation frameworks, testing strategies, or monitoring systems for AI features</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Healthcare data expertise</li>\n<li>Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing</li>\n</ul>\n<p><strong>Location</strong></p>\n<p>This role is located in San Francisco, California, and is available for remote work.</p>\n<p><strong>Benefits</strong></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><strong>Equal Opportunity Employer</strong></p>\n<p>Komodo Health is an equal opportunity employer and welcomes applications from all qualified candidates. 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As a Senior Revenue Accounting Analyst, you will be responsible for providing critical support for our NetSuite ARM implementation and contributing to the day-to-day accuracy of our revenue operations. 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exposure to revenue automation tools (e.g., NetSuite ARM or Zuora RevPro) is a strong plus.</li>\n<li>Outcome-Driven Mindset: A self-disciplined professional who thrives in fast-paced environments and is eager to take ownership of complex technical reconciliations.</li>\n<li>Professional Attributes: A detail-oriented professional who is outcome-driven, self-disciplined, and thrives in a fast-paced environment.</li>\n<li>Ownership: A proactive individual eager to take ownership of complex reconciliations and technical accounting challenges.</li>\n<li>Education: Bachelor’s degree in Accounting; experience within a Big 4 or large regional public accounting firm is strongly preferred.</li>\n</ul>\n<p>Leveraging GenAI in this Role:</p>\n<ul>\n<li>Summarize Complex Agreements: Quickly extract key revenue triggers from lengthy legal documents.</li>\n<li>Draft Documentation: Assist in generating initial drafts for technical accounting memos and Standard Operating Procedures.</li>\n<li>Data Cleaning: Use AI-assisted tools to identify anomalies in large datasets before performing final reconciliations in Excel.</li>\n</ul>\n<p>Your First 90 Days at Komodo Health:</p>\n<p>The First 30 Days: Immersion</p>\n<ul>\n<li>Product Knowledge: Deep dive into Komodo’s product stack (Sentinel, Prism, etc.) to understand the underlying delivery mechanisms (SaaS vs. Data Licenses).</li>\n<li>Audit Trail: Review the prior year’s revenue audit workpapers and current technical memos to understand the historical application of ASC 606.</li>\n<li>Stakeholder Sync: Establish relationships with the Deal Desk, Sales Ops, and Legal teams to understand the current contract-to-cash workflow.</li>\n</ul>\n<p>The First 60 Days: Execution</p>\n<ul>\n<li>Close Ownership: Take full ownership of the monthly revenue close cycle, including managing the revenue waterfall and preparing relevant revenue journal entries.</li>\n<li>Process Assessment: Identify at least two manual “workarounds” in the current revenue process and propose an automation plan within the ERP.</li>\n<li>Contract Checklist Preparation: Review contracts and prepare revenue checklists in accordance with ASC 606.</li>\n</ul>\n<p>The First 90 Days: Impact</p>\n<ul>\n<li>SSP Evolution: Gain a comprehensive understanding of the revenue footnote disclosures and how to prepare them.</li>\n<li>Technical Leadership: Assist the team with gathering the necessary relevant data and preparing ad hoc analysis for the purpose of drafting technical memos.</li>\n<li>Audit Readiness: Organize the revenue documentation folder to be “evergreen,” ensuring the team is prepared for the next interim audit with zero lag time.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fdcac092-158","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Komodo Health","sameAs":"https://www.komodohealth.com/","logo":"https://logos.yubhub.co/komodohealth.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/komodohealth/jobs/8465401002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Revenue Accounting","ASC 606","NetSuite","Excel","Data Analysis","Financial Reporting"],"x-skills-preferred":["GenAI","Automation Tools","CRM","ERP"],"datePosted":"2026-04-18T15:49:53.243Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote (Must Reside in Pacific or Mountain Time Zone)"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Healthcare","skills":"Revenue Accounting, ASC 606, NetSuite, Excel, Data Analysis, Financial Reporting, GenAI, Automation Tools, CRM, ERP"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3362a07b-0d0"},"title":"Senior AI Engagement Manager","description":"<p>We are seeking a Senior AI Engagement Manager to join our Analytics Centre of Excellence team. The successful candidate will be responsible for ensuring Komodo&#39;s AI capabilities are translated into real, measurable impact for our customers. This role will bridge Komodo&#39;s internal product, data science, and analytics capabilities with the strategic needs of our clients, working closely with both existing and new customers to integrate Komodo&#39;s AI offerings into their workflows, deliver measurable value to key strategic accounts, and drive renewals through sustained client impact.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Own a significant portion of direct project delivery for client engagements, with support from team members as needed.</li>\n<li>Serve as the primary point of contact for clients throughout the AI engagement lifecycle, from initial scoping and pilot design through execution and final delivery.</li>\n<li>Lead strategic advisory conversations with senior client stakeholders, translating Komodo&#39;s AI capabilities into actionable solutions for their business needs.</li>\n<li>Manage 3-5 concurrent AI engagements, balancing timelines, deliverables, and client expectations across accounts.</li>\n<li>Support presales and renewal conversations by bringing credible AI and life sciences expertise to the table.</li>\n<li>Proactively identify risks and opportunities within client engagements, escalating or acting as appropriate.</li>\n<li>Contribute to the development of the AI engagement practice by documenting learnings and refining delivery processes over time.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Willingness to travel approximately 50% of the time to support client engagements.</li>\n<li>Experience in management consulting with a focus on strategic advisory work, preferably at a top-tier or life sciences-focused firm.</li>\n<li>Direct experience working with pharmaceutical, biotech, or broader life sciences clients.</li>\n<li>Hands-on experience scoping, managing, or delivering AI or digital transformation pilots in a client-facing context.</li>\n<li>Strong executive presence with the ability to lead complex conversations with senior 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