Collective Health Logo

Collective Health

Senior Engineering Manager, Claims

Reposted 5 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
200K-250K Annually
Senior level
In-Office
San Francisco, CA, USA
200K-250K Annually
Senior level
Lead and manage the core Claims processing system, owning development, testing, and maintenance. Partner with Product, Business, Operations, and Support to define and execute the technical roadmap, automate processes, and improve SLAs. Drive adoption of AI-powered developer tools and architect AI-native, agentic solutions. Provide technical and people leadership to build scalable, cloud-native backend services and integrations using Java/Spring Cloud, Kafka, AWS, Kubernetes, PostgreSQL, and BRMS.
The summary above was generated by AI

At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design.

What you'll do:
  • Engineering Management: Manage the core Claims processing system, taking full ownership of all development, testing, and maintenance cycles that go into the product development lifecycle.
  • Stakeholder Collaboration: Work closely with cross-functional stakeholders—including Business, Product, Operations, and Production Support—to continuously enhance the Claims platform and automate efficient processes to improve SLAs.
  • Roadmap Execution: Partner with Product teams to define, prioritize, and manage the technical claims roadmap, ensuring our architecture meets current and future business needs.
  • Drive AI & Agentic Development: Lead the team's adoption of AI-powered developer tools (e.g., GitHub Copilot, Cursor, WindSurf) and drive architectural decisions for building AI-native, Agentic solutions (utilizing tools like LangChain or Google ADK).
  • Technical and People Leadership: Guide the team in building scalable, cloud-native backend services and integrations using our tech stack (Java/Spring Cloud, Kafka, AWS, Kubernetes, PostgreSQL) and Business Rules Management Systems (BRMS).
To be successful in this role, you'll need:
  • Masters’ or Bachelor's degree in Computer Science Engineering, or a related field.
  • Experience: Minimum of 12 years of software engineering experience, with at least 3 years of experience directly managing engineering teams.
  • Healthcare Domain: Proven experience working in the Healthcare Payer or Provider domain; familiarity with claims adjudication, partner integrations, and healthcare payments is highly preferred.
  • Agile Delivery: Well-versed with the Agile development lifecycle, with a strong track record of building, launching, and maintaining complex, data-intensive systems.
  • AI & Agentic Proficiency: Working knowledge of AI coding and Agentic processes. You should have a foundational understanding of Large Language Models (LLMs) and how to leverage them for advanced developer operations and product features.
  • Cross-Functional Communication: Excellent communication skills with the ability to bridge technical architecture discussions with business needs across all levels and teams.
Pay Transparency Statement 

This is a hybrid position based out of one of our offices: San Francisco, CA, Plano, TX, or Lehi, UT. Hybrid employees are expected to be in the office two days per week.#LI-hybrid

The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 330,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.#LI-LN1

San Francisco, CA Pay Range
$200,000$250,000 USD
Lehi, UT Pay Range
$160,000$200,000 USD
Plano, TX Pay Range
$176,000$220,000 USD
Why Join Us?
  • Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare
  • Impactful projects that shape the future of our organization
  • Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests
  • Flexible work arrangements and a supportive work-life balance

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact [email protected].

Privacy Notice

For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.

HQ

Collective Health San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

41 Minutes Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
151K-215K Annually
Senior level
151K-215K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Lead digital transformation and AI-powered support initiatives to improve case lifecycle, self-service adoption, and customer outcomes. Own knowledge management (KCS), process optimization (Lean/Six Sigma), enablement, COE programs, and cross-functional partnerships with Engineering, Product, and Operations. Analyze case trends and metrics to drive product, process, and digital support improvements and reduce resolution times.
Top Skills: Ai-Enabled Support ToolsAi/MlAsanaConfluenceJIRAKcsSFDCTableau
An Hour Ago
Remote or Hybrid
United States
81K-122K Annually
Senior level
81K-122K Annually
Senior level
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Partner with Retail Consumer Engineering and Product leaders to deliver HR services: organizational design, talent management, workforce planning, change management, employee engagement, compliance, and people analytics. Advise leaders, support recruiting and retention, lead performance and compensation processes, and resolve employee relations issues while ensuring policy and legal compliance.
Top Skills: Excel
An Hour Ago
Remote or Hybrid
United States
89K-134K Annually
Senior level
89K-134K Annually
Senior level
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Lead planning, sequencing, and delivery of Employee Service Center and People Solutions Operations initiatives. Manage portfolio roadmap and intake, run end-to-end projects, govern risks/dependencies, enable BAU transitions, drive stakeholder alignment and change communications, and support continuous improvement of PM practices.
Top Skills: Ai-Enabled ToolsExcelMicrosoft PowerpointMicrosoft TeamsMicrosoft WordSmartsheetWorkday

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account