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Kiddom

Sr. Product Manager, Data

Sorry, this job was removed at 02:07 a.m. (PST) on Thursday, Nov 27, 2025
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In-Office
San Francisco, CA, USA
150K-200K Annually
In-Office
San Francisco, CA, USA
150K-200K Annually

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Kiddom is redefining how technology powers learning. We combine world-class curriculum with cutting-edge AI and modern SaaS infrastructure to help schools deliver truly personalized education at scale. Our platform equips educators with real-time insights and flexible tools, enabling them to focus on what matters most—driving student growth and equity.

We’re not just building ed-tech; we’re disrupting an industry that’s been slow to innovate. At Kiddom, product leaders sit at the center, partnering with engineers, designers, AI researchers, and educators to shape transformative experiences that reimagine what’s possible in classrooms.

If you thrive in ambiguity, love working in high-ownership cultures, and are energized by the intersection of human impact and next-gen technology, this is the place to shape something transformative.

You Will:

  • Set vision and strategy for data products – Define how Kiddom captures, structures, and leverages data to drive differentiation, adoption, and measurable impact for educators, students, and administrators.
  • Empower AI and analytics – Partner with AI researchers, engineers, and data scientists to deliver insights, recommendations, and models that enable personalized learning at scale.
  • Build data-first experiences – Transform raw data into actionable intelligence by designing dashboards, reporting, and embedded insights that seamlessly fit into educator workflows.
  • Drive execution at scale – Guide data-related products and platforms from concept through launch and iteration, ensuring accuracy, compliance, and usability across thousands of classrooms.
  • Champion interoperability and trust – Ensure Kiddom’s data systems integrate seamlessly with district SIS/LMS platforms while maintaining the highest standards of security and privacy.
  • Lead with influence – Align stakeholders across engineering, design, GTM, curriculum, and compliance teams, ensuring clarity and momentum in highly complex, cross-functional environments.
  • Champion outcomes, not just metrics – Ensure data initiatives tangibly improve teacher efficiency, student progress, district decision-making, and institutional adoption.

What We’re Looking For:

  • 5+ years of product management experience, with a strong track record in data, analytics, or platform products.
  • Proven experience delivering data-driven SaaS products at scale, preferably with complex integrations and high-stakes user impact.
  • Startup and growth experience – you’ve thrived in fast-moving environments where priorities shift and ownership is essential.
  • Strong knowledge of data systems, APIs, interoperability standards, and compliance requirements.
  • Ability to balance strategic vision with execution excellence—from roadmap planning to hands-on product delivery.
  • Exceptional influence and communication skills—you can inspire teams, simplify complexity, and drive alignment across technical and non-technical stakeholders.
  • Strong AI/ML literacy—you understand how data powers intelligent systems and can confidently partner with researchers and engineers to evaluate opportunities and bring AI-powered experiences to market.
  • Background in education/ed-tech is welcome but not required.

Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process.

What we offer
Full time permanent employees are eligible for the following benefits from their first day of employment:
* Competitive salary
* Meaningful equity
* Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
* One Medical membership (in participating locations)
* Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year.
* 10 paid sick days per year (pro rated depending on start date)
* Paid holidays
* Paid bereavement leave
* Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State.
Commuter and FSA plans

Equal Employment Opportunity Policy
Kiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.

HQ

Kiddom San Francisco, California, USA Office

We are in Union Square, close to BART, MUNI, other public transportation, coffee shops, restaurants, bars, and shops. It's a bustling neighborhood in the heart of San Francisco with easy access to restaurants for offsite socializing at lunch or after work.

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

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  • 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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