Senior Forward Deployed Engineer, AI Infrastructure & Deployments
We Breathe Life Into Data
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. 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 behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.
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.
The Opportunity at Komodo Health
Komodo’s Labs team builds Marmot — our AI-native product, powered by an MCP Gateway architecture that connects our data platform to the tools customers need. The Forward Deployed Engineering team is where Marmot meets the real world: we deploy AI-native solutions into complex enterprise healthcare environments, including customer cloud infrastructure, strict compliance requirements, and integrations that vary by engagement.
We sit at the intersection of Engineering, Product, and Revenue. We build, deploy, and own production outcomes for some of Komodo’s most complex and visible customer engagements
About the role
As a Senior Forward Deployed Engineer, AI Infrastructure & Deployments you will own end-to-end delivery for some of Komodo’s most technically demanding customer engagements — from solution architecture through deployment inside a customer’s cloud, data infrastructure, and compliance environment.
This is a deeply technical engineering role with direct customer context. You will write production code, design cloud-native deployment patterns, build integrations, develop MCP servers that extend the Komodo platform into a customer’s stack, and debug issues in environments you do not fully control.
The Forward Deployed Engineering team operates with a clear principle: own your work end to end. You will be expected to translate customer requirements into scalable, product-adjacent solutions, communicate clearly with technical and non-technical stakeholders, surface risks early, and make sound tradeoffs between speed and production rigor.
This role is best suited for someone who enjoys ambiguity, takes initiative, and is energized by solving complex problems in close partnership with customers. You’ll work on some of Komodo’s most complex and visible deployments — and see your work run in production.
In your first 90 days, you will have:
- Learned the Marmot platform end to end, including the agent loop, MCP Gateway integration surface, and deployment toolchain that allows FDE to stand up isolated customer environments independently.
- Shipped your first customer-facing deliverable, such as a new MCP server, Databricks/Delta Lake integration, or agentic workflow — and seen it run in a real customer environment.
- Built strong working relationships with Sales, Solutions Engineering, and Product partners, with a clear understanding of who owns what and where you create leverage.
- Mapped the technical gaps in your first customer deployment and proposed a concrete plan to close them.
By the end of your first year, you will have:
- Led end-to-end delivery of at least one high-complexity customer deployment, standing up AI-native solutions inside a customer’s own cloud environment and delivering outcomes with measurable business impact.
- Built and shipped production-grade agentic workflows and MCP servers that solve customer-specific problems.
- Established yourself as a trusted technical partner to senior customer stakeholders by leading architecture reviews, navigating compliance constraints, and helping convert pilots into broader programs.
- Contributed reusable deployment patterns to the FDE playbook, creating frameworks the team can rely on for future customer engagements.
- Participated in Komodo’s architecture governance, influencing platform decisions based on what you have seen and built in the field.
- Partnered cross-functionally with Sales, Product, Data, and Core Engineering to close gaps and shape the roadmap.
These are the essential job duties you will be responsible for …
- Design, build, and deploy AI-native solutions inside customer environments, including MCP servers, agentic workflows, and custom integrations that adapt Komodo’s platform to each customer’s cloud infrastructure, systems, data contracts, and compliance requirements.
- Own the infrastructure layer for customer deployments, including Terraform-managed AWS environments, VPC networking, IAM, security controls, and data isolation requirements.
- Work with data at scale across tools like Databricks, Delta Lake, Snowflake, and S3 — debugging pipeline failures, optimizing performance, and building integrations that hold up in production.
- Drive day-to-day technical engagement with customer stakeholders by scoping work, communicating progress, explaining tradeoffs, surfacing risks early, and building trust over time.
- Turn field learnings into reusable FDE patterns, deployment templates, engineering standards, and roadmap input for Core Platform and architecture governance.
What you bring to Komodo Health (required):
We know strong candidates may not have every tool listed below. We’re most interested in engineers who have shipped production systems, learn quickly, and can operate across AI, infrastructure, data, and customer-facing technical work.
- Production engineering experience: 7+ years of software engineering experience, with a track record of building and owning systems that run in production.
- Agentic AI experience: Hands-on experience building LLM-powered applications, agentic workflows, or AI tools beyond prototypes. Experience with frameworks such as LangGraph, Strands, CrewAI, or similar is a plus.
- Cloud infrastructure ownership: Strong AWS and Terraform experience, including VPC networking, IAM, security controls, and standing up reliable customer or single-tenant environments.
- Application engineering depth: Strong Python skills, experience with APIs, async service patterns, and building software that other teams, customers, or businesses depend on.
- Data platform experience: Experience working with large-scale data systems such as Databricks, Delta Lake, Snowflake, S3, or similar platforms, including debugging failures and improving performance or reliability.
- Security and enterprise judgment: Comfort designing for data isolation, customer security requirements, and regulated environments with constraints such as SOC 2, BAA, HIPAA, or similar considerations.
- Integration mindset: Experience building integration surfaces for AI systems, including MCP servers or equivalent patterns that connect tools, data, and workflows.
- Customer-facing technical leadership: Ability to lead technical conversations with customer engineers and senior stakeholders, explain tradeoffs clearly, drive alignment, and build trust without handing off the conversation.
- Comfort with ambiguity: Ability to work across infrastructure, application, data, and AI layers, find a path when one does not already exist, and deliver on what you commit to.
Nice to have:
- Experience with LLM evaluation frameworks in production, such as LangSmith, Braintrust, Ragas, or equivalent tools.
- Familiarity with healthcare or life sciences data, including IQVIA data structures, pharma customer workflows, payer data contracts, or similar data environments.
- Experience with API gateway or service mesh patterns used for AI tool integration.
- Contributions to shared platform infrastructure, including code committed to shared repos, participation in architecture reviews, or tooling that other engineers depend on.
- Experience deploying in regulated environments with data residency, audit logging, or multi-party data access constraints.
A Note On Travel:
#LI-Remote
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. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.
The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, 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.
Komodo's AI Standard
At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.
Join us in shaping the future of healthcare intelligence.
Where You’ll Work
Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join.
Equal Opportunity Statement
Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
By submitting your application, you acknowledge that you have read and understand Komodo Health’s Privacy Notice for Employees and Contractors.
This notice explains how we collect, use, and retain applicant data.
Databricks Database Administrator
Databricks Database Administrator
At Curana Health, we're on a mission to radically improve the health, happiness, and dignity of older adults—and we're looking for passionate people to help us do it.
As a national leader in value-based care, we offer senior living communities and skilled nursing facilities a wide range of solutions (including on-site primary care services, Accountable Care Organizations, and Medicare Advantage Special Needs Plans) proven to enhance health outcomes, streamline operations, and create new financial opportunities.
Founded in 2021, we've grown quickly—now serving 200,000+ seniors in 1,500+ communities across 32 states. Our team includes more than 1,000 clinicians alongside care coordinators, analysts, operators, and professionals from all backgrounds, all working together to deliver high-quality, proactive solutions for senior living operators and those they care for.
Ranked #147 on the Inc. 5000 list of America's fastest-growing private companies, we're just getting started. If you're looking to make a meaningful impact on the senior healthcare landscape, you're in the right place—and we look forward to working with you.
For more information about our company, visit CuranaHealth.com.
Summary
We are looking for a talented, experienced individual to join our Data Operations team and lead the company’s migration from SQL Server to DataBricks.
The DBA is a “hands on” position requiring the candidate to be able to work with applicable technologies to develop and maintain databases across the organization, while ensuring high levels of data availability. The ideal candidate will possess strong experience in Databricks Lakehouse architecture, Azure cloud services, automation, security, and platform operations within a healthcare or regulated environment.
Essential Duties & Responsibilities
About the team:
The department is comprised of database administrators and data engineers focused on modernizing our data platform and empowering our business stakeholders to make strategic decisions. Teaching, mentoring, and developing are part of our culture. The goal is to develop a balanced team with expertise in modern data solutions.
Responsibilities:
- Modernize the data warehouse environment by migrating the platform to Azure Databricks
- Administer and maintain Databricks workspaces across development, test, and production environments.
- Configure and manage clusters, cluster policies, instance pools, SQL Warehouses, and job scheduling.
- Monitor platform utilization, performance, and capacity planning.
- Optimize cluster configurations for cost, performance, and reliability.
- Manage workspace configurations, notebooks, libraries, and package dependencies.
- Experience implementing Lakehouse architecture and Medallion data patterns (Bronze, Silver, Gold)
- Implement and maintain RBAC, Unity Catalog, workspace permissions, and data access controls.
- Collaborate with Azure platform teams to manage - Azure Key Vault, Azure Virtual Networks, Private Endpoints, Managed Identities, Azure Monitor and Log Analytics
- Troubleshoot cloud connectivity, networking, and authentication issues.
- Ensure secure connectivity between Databricks and enterprise systems.
- Support Data Engineering, Analytics, AI/ML, and Data Science teams.
- Establish operational processes for environment provisioning, support, monitoring, and incident management.
- Perform and/or coordinate installations, upgrades, and patches to Microsoft SQL products and tools
- Develop Infrastructure as Code (IaC) solutions using Terraform and CI/CD pipelines.
- Automate workspace provisioning, user onboarding, cluster deployments, and policy management.
- Integrate Databricks deployments with Azure DevOps or GitHub Actions.
- Manage source control integration and release processes.
- Provide On-call Support during off- hours for Production, test and development DBs based on criticality
Qualifications
- 5+ years of experience administering enterprise data platforms.
- 3+ years of hands-on Databricks administration experience.
- Strong experience with: - Azure Databricks, Unity Catalog, Delta Lake, Azure Data Lake Storage (ADLS), Azure Active Directory (Entra ID), Azure Networking
- Experience implementing RBAC, security policies, and governance controls.
- Strong knowledge of monitoring, logging, troubleshooting, and performance tuning.
- Experience managing production environments and platform support operations.
- Proficiency in Python, SQL, and scripting languages.
- Experience with Infrastructure as Code (Terraform preferred).
- Has familiarity with Microsoft Azure and provisioning of SQL Server Databases
- Understanding of HIPAA, SOC 2, or other compliance frameworks relevant to healthcare data
- Bachelor’s degree from an accredited college or university or equivalent experience
Options
Curana Health is dedicated to the principles of Equal Employment Opportunity. We affirm, in policy and practice, our commitment to diversity. We do not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable or state law, genetic information, or any other characteristic protected by applicable federal, state and local laws and ordinances.
The EEO policy applies to all personnel matters as outlined in our company policy including recruitment, hiring, transfers, and general treatment during employment.
*The company is unable to provide sponsorship for a visa at this time (H1B or otherwise).
Software Powered by ICIMS
www.icims.com
Operations Manager, Workforce Strategy & Planning
Company Overview:
Role:
Key Responsibilities:
- Workforce Management & Capacity Planning
- Run demand forecasting and capacity planning using AI model outputs - validate projections, apply bias corrections, and translate forecasts into interval-level staffing plans. Inputs include demand trends, seasonality, product launches, and marketing activity.
- Maintain, update, and improve existing staffing models (headcount-to-volume alignment, SLA modeling, scenario planning) as inputs change - you're not building these from scratch, but you need to understand the logic well enough to adjust, improve, and defend the outputs.
- Build and distribute weekly schedules; coordinate with Team Leads on shift coverage, gaps, and real-time adjustments.
- Drive resource planning for new initiatives, including shift coverage for new channels, skill-based routing changes, and staffing implications of product or geographic launches.
- Own BPO forecast and capacity planning: translate volume projections into vendor capacity needs and flag misalignment early.
- Process contractor invoices on cadence.
- Manage schedule publishing and headcount updates.
- Operational Optimization
- Co-own the monthly Finance labor cost model review, prepare inputs, flag variances, maintain the rolling forecast.
- Work with Product, Engineering, Marketing and Support teams to stay ahead of feature rollouts and changes that will impact volume or staffing needs, as well as feed those inputs into the forecasting and planning cycle.
- Deliver hiring plan recommendations tied to volume projections, attrition trends, and batch hiring constraints.
- Track and report on OKRs: prepare leadership updates, maintain KR tracking, flag risks to targets.
- Stakeholder & System Coordination
- Serve as the primary WFM point of contact for Ops leadership, Finance, and cross-functional partners during the engagement.
- Collaborate with Data Science on predictive model refinement and operational dashboard development.
- Maintain recurring operational reporting cadences
Qualifications/Skills:
- 4+ years in workforce management, capacity planning, or workforce operations
- Experience scaling support functions in high-growth companies. You'll be operating the WFM function during a period of significant membership growth, new channel launches, and geographic expansion. Healthcare or digital health experience is a major plus.
- Strong modeling skills and comfort with large datasets. Experience with BI tools (Databricks, Looker, Tableau, or similar) are a plus - you should be able to pull data, validate assumptions, and translate analysis into actionable staffing decisions.
- Experience managing or coordinating BPO vendors: capacity planning, performance tracking, invoice reconciliation.
- Familiarity with WFM tools, helpdesk platforms (we use Intercom), and HRIS/scheduling systems (we use Rippling).
- Demonstrated ability to work cross-functionally with Finance, Marketing, Product, and Data teams.
- Strong operational reporting skills
- Comfortable stepping into an established system. You'll inherit existing models, processes, vendor relationships, and reporting cadences built by the person you're covering for.
To be a strong fit, you embody our Core Values:
- Ruthless Prioritization:
- We don’t let perfect get in the way of progress.
- We move quickly to drive value, not perfection.
- We prioritize what drives impact.
- We never compromise on standards of excellence.
- Member-First, Always:
- We design and deliver like we’re caring for someone we love.
- We create calendar, actionable, human experience.
- We prioritize responsiveness, peace of mind, and outcomes.
- We empower members with truth, clarity, and care.
- One Team, Moving Fast:
- We are aligned in purpose, prioritization, and speed.
- We gather diverse perspectives to make informed decisions.
- We clear paths for each other and move fast together.
- We communicate clearly and respectfully, rallying around shared goals.
- Radical Ownership, Relentless Execution:
- We don’t just ship– we own outcomes and drive results.
- We act with urgency and precision
- We anticipate, initiate, and follow through.
- We meet challenges with grit and pragmatism.
- We embrace new tech to deliver better outcomes.
- Mission Over Ego:
- We are ruthlessly aligned to our mission - and leave ego at the door.
- We disagree and commit.
- We don't tolerate politics or withholding information.
- We operate with honesty, transparency, and respect.
- Sustained Integrity in Every Detail:
- We earn trust by obsessing over accuracy, quality, and clarity in everything we do.
- We prioritize clinical precision - data must be right.
- We sweat the details because outcomes depend on them.
Why You'll Love Working With Us:
Staff Software Engineer, Backend
About Us:
Role:
Key Responsibilities:
- Contribute to the design, development, and scaling of core data infrastructure using GCP, Spark, Databricks, and Fivetran.
- Develop robust and maintainable ETL/ELT workflows that support diverse structured and unstructured data needs across the organization.
- Implement and manage Change Data Capture (CDC) pipelines to enable near real-time data replication and synchronization.
- Define and enforce data governance and compliance standards, including access control, auditability, lineage, and metadata management.
- Build and manage streaming and batch data pipelines to serve high-impact use cases across analytics, product, compliance, and experimentation.
- Act as a strategic partner to cross-functional teams (product, analytics, engineering, clinical) to ensure data is accessible, trustworthy, and impactful.
- Drive the long-term architectural vision of our data platform to support current and future business and product needs.
Qualifications/Skills:
- 5+ years of experience in software engineering, with a focus on scalable data architectures.
- Strong expertise in GCP (IAM, GCS, Pub/Sub, etc.) and hands-on experience with Spark and Databricks.
- Hands-on experience with CDC technologies like Fivetran, or equivalent.
- Proficiency in ETL/ELT tools and frameworks (dbt, Apache Airflow, Dataform, etc.).
- Deep understanding of data governance principles, including compliance and security best practices.
- Demonstrated success in collaborating across functions to deliver data solutions for analytics, experimentation, or compliance.
- A balance of IC execution and leadership skills; you’re equally comfortable rolling up your sleeves or mentoring others.
- Familiarity with streaming data architecture, real-time ingestion, and delivery frameworks.
- Proficient in SQL and Python for data processing and automation.
- Strong problem-solving skills with the ability to work in a fast-paced environment.
- Excellent communication and technical storytelling skills — you can align technical work with business value.
Nice-to-Have Skills and Experiences:
- Experience with Terraform or Infrastructure-as-Code (IaC) for data infrastructure automation.
- Background in HIPAA or other regulated environments with sensitivity to data privacy and compliance.
- Familiarity with the dbt Semantic Layer and modern data modeling best practices.
- Exposure to data observability platforms and practices.
- Familiarity with machine learning data pipelines.
- Exposure to multi-cloud or hybrid-cloud environments.
- Experience building scalable solutions in a 0-1 environment.
To be a strong fit, you also need:
- Bias Toward Action: Demonstrated ability to take initiative, make decisions under uncertainty, and move projects forward even in the face of ambiguity. We value individuals who are self-starters and ready to act on opportunities and challenges alike.
- Entrepreneurial Spirit: Strong adaptability to changing business needs with a knack for building and optimizing processes. Your entrepreneurial mindset will be crucial in navigating the dynamic landscape of our industry, ensuring our platform remains competitive and responsive to user needs.
- Communication: Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders. Effective communication is vital for cross-functional collaboration and ensuring alignment across our organization.
- Remote Work Adaptability: Comfort with remote work environments, demonstrating the ability to stay productive and connected with the team irrespective of physical location.
- Continuous Improvement: A willingness to question assumptions and a commitment to continuous improvement. Your openness to feedback and dedication to personal and professional growth will contribute significantly to our collective success.
Senior Infrastructure Engineer
We Breathe Life Into Data
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. 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 behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.
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.
The Opportunity at Komodo Health:
Komodo aims to build the best healthcare data architecture in the industry. We are rapidly growing and expanding our infrastructure stack and adopting SRE best practices.
You will be joining the Platform team. We build, operate, and constantly improve our infrastructure offerings for 150+ client organizations.
The team achieves our business goals by adopting best infrastructure practices and leveraging 100% automation to scale our product offerings and reduce costs.
You will work with passionate team members across the country, and to accomplish our goal: reduce the burden of disease.
Looking back on your first 12 months at Komodo Health, you will have accomplished…
- Have developed a deep understanding of Platform and Platform customers
- Have built and operated cloud infrastructure (AWS) based on customer requirements
- Have solved any development and deployment challenges around making Platform infrastructure highly reliable, easy to maintain, and cost-effective
- Have participated in the development, execution, and support of the new feature rollout with solution architects, forward-deployed engineers, and customer success teams
- Led the development of improvements to data infrastructure, pipeline automation, codebase quality, and/or data quality.
- Designed, architected and/or implemented systems for supporting data processing tasks, like metadata, configuration and/or data pipeline inputs.
- Have developed and contributed to existing and new monitoring and alerting systems for Platform infrastructure
- Have hardened infrastructure security including network, storage, user access, etc.
- Have responded and solved key customer reported issues in a timely manner
- Participated in an on-call rotation
- Spearheaded the adoption of AI-driven development workflows, integrating LLM-based tools into the SDLC to accelerate feature delivery and reduce mean time to resolution (MTTR)
What you bring to Komodo Health (required):
- Engineering Excellence: Proficiency in Python, with deep technical troubleshooting skills and extensive experience building backend APIs and microservices.
- Cloud Infrastructure: Expert-level knowledge of AWS core services and the ability to architect scalable solutions from high-level requirements.
- Infrastructure as Code & CI/CD: Proficiency in Terraform/Scalr and experience building robust CI/CD pipelines using GitHub Actions.
- Networking & Connectivity: Solid understanding of networking fundamentals (subnets, CIDR, VPCs) to ensure secure, global application accessibility.
- Big Data Frameworks: Knowledge with big-data tools and workflow orchestrators such as Snowflake, Databricks, Airflow, Temporal.
- AI & Productivity: Ability to leverage AI tools (Gemini, ChatGPT, Cursor) to streamline engineering workflows and enhance personal productivity.
- Leadership & Collaboration: A proactive team player with excellent cross-team communication skills and a proven track record of driving complex projects to completion.
Additional skills and experience we’d prioritize (nice to have)
- Experience with AWS preferred. AWS Cloud Infrastructure certification is a plus.
- Experience with data privacy concerns such as HIPAA or GDPR
- Experience working with cross-functional teams and with other customer-facing teams
- Passion! We hope you are passionate about our mission and technology
- Ownership! We hope you own your work, be accountable, and push it through the finish line. We hope you treat yourself as a cofounder and do not hesitate to share any idea that helps Komodo
- Expertise! We do not need you to know everything, but we hope you have deep knowledge in at least one area and can start contributing quickly. And we would love to learn from you in your area(s) of expertise as well.
Location: PST / Pacific timezone
#LI-Remote
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. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.
The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, 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.
Komodo's AI Standard
At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.
Join us in shaping the future of healthcare intelligence.
Where You’ll Work
Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join.
Equal Opportunity Statement
Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
By submitting your application, you acknowledge that you have read and understand Komodo Health’s Privacy Notice for Employees and Contractors.
This notice explains how we collect, use, and retain applicant data.
Staff Data Scientist, Product Analytics
Company Overview:
Role:
Key Responsibilities:
- Develop measurement frameworks and north star metrics and data structures that allow different parts of the company to facilitate decision-making.
- Perform strategic and operational analyses to identify and prioritize product and business initiatives (e.g. analyses to uncover insights from member support and health testing data, improving user experiences).
- Develop models (heuristic, predictive, or ML) and data products that empower the business (e.g. customer support demand forecasting).
- Drive self-service to enable a data-driven organization through documentation, education, and training
- Ensure data quality, security, and compliance within all analytical frameworks.
Qualifications/Skills:
- Must have items
- Degree in Data Science, Biostatistics, Computer Science, or a relative quantitative field.
- 5+ years of experience in data science or analytics at consumer or Enterprise tech companies
- Proficiency in Python, SQL, and data visualization tools
- Ability to communicate complex findings to non-technical stakeholders
- Experience using generative AI tools to accelerate project development
- Nice to have items
- Domain/data experience working with Operations (Customer experience measurement, Customer issue tracking/modeling, Demand forecasting)
- Experience with GCP (Google Cloud Platform) and Databricks
- Experience with customer support tools like Intercom, Zendesk, or similar
- Experience in healthcare analytics or bioinformatics
- Advanced expertise in machine learning, data visualization, and statistical analysis.
- Background in healthcare data compliance (HIPAA) and privacy standards.
To be a strong fit, you embody our Core Values:
- Ruthless Prioritization:
- We don’t let perfect get in the way of progress.
- We move quickly to drive value, not perfection.
- We prioritize what drives impact.
- We never compromise on standards of excellence.
- Member-First, Always:
- We design and deliver like we’re caring for someone we love.
- We create calendar, actionable, human experience.
- We prioritize responsiveness, peace of mind, and outcomes.
- We empower members with truth, clarity, and care.
- One Team, Moving Fast:
- We are aligned in purpose, prioritization, and speed.
- We gather diverse perspectives to make informed decisions.
- We clear paths for each other and move fast together.
- We communicate clearly and respectfully, rallying around shared goals.
- Radical Ownership, Relentless Execution:
- We don’t just ship– we own outcomes and drive results.
- We act with urgency and precision
- We anticipate, initiate, and follow through.
- We meet challenges with grit and pragmatism.
- We embrace new tech to deliver better outcomes.
- Mission Over Ego:
- We are ruthlessly aligned to our mission– and leave ego at the door.
- We disagree and commit.
- We don't tolerate politics or withholding information.
- We operate with honesty, transparency, and respect.
- Sustained Integrity in Every Detail:
- We earn trust by obsessing over accuracy, quality, and clarity in everything we do.
- We prioritize clinical precision– data must be right.
- We sweat the details because outcomes depend on them.
Why You'll Love Working With Us:
The full posting opens here — pay, setting and the full description, without leaving the list.