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Compa

Innovation Program Manager

Sorry, this job was removed at 05:15 p.m. (PST) on Wednesday, May 20, 2026
Hybrid
San Francisco, CA, USA
Hybrid
San Francisco, CA, USA

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About Compa

Compa is a venture-backed AI startup revolutionizing the future of compensation.

In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams.

Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI.

Our customers include the world’s biggest companies: NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, Target, and more.

Locations:

Compa headquarters are located in Irvine, California, with growing sites in Denver, Colorado and San Francisco, California. We’re a collaborative, curious, and driven team that values transparency, ownership, and continuous learning and prioritizing in person work where possible.

Location: Irvine, CA (hybrid) or remote in San Francisco, CA.

The Role:

Compa is seeking an Innovation Program Manager to lead how we collaborate with enterprise customers and to shape the future of compensation intelligence. In this role, you will design and facilitate structured customer programs that surface insights, validate concepts, and accelerate product development. You will partner closely with Product, Compensation, Sales, and Marketing to translate customer input into meaningful impact across the business. This is a highly cross-functional role that requires strong facilitation, strategic thinking, and a customer-centered mindset.

Key Responsibilities
  • Architect and facilitate Design Partner Programs with enterprise customers

  • Conduct customer research studies to uncover insights and validate product direction

  • Partner with Product to synthesize research into actionable product requirements

  • Develop customer enablement content, resources, and program materials

  • Collaborate with Product and Compensation teams to define and deliver program objectives

  • Support Sales with program insights and engagement to accelerate deals

  • Partner with Marketing to publish customer case studies and highlight program impact

  • Establish a repeatable, scalable playbook for running design partner programs

Minimum Qualifications:

  • 5+ years experience in program management and/or product management

  • Expertise in design research & customer insight discovery

  • Expertise in facilitation (virtual & in-person)

  • Exceptional communication, collaboration, and strategic planning skills

Preferred Qualifications:

  • Experience with Compensation, Talent Acquisition, or HR

  • Experience working with Fortune 100 company leadership

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

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