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Andela

Senior Product Manager

Posted an hour ago
5-10 years experience
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You will own the day-to-day operations, roadmap, and feature development of the Andela Talent Cloud platform. This includes collaborating with operations and engineering teams to drive product metrics, improve quality, and integrate AI solutions effectively.

Senior Product Manager — Andela Talent Cloud Platform

About Andela

At Andela, we know brilliance is evenly distributed around the world, but opportunity is not. For over 10 years, Andela has connected customers with top global, remote technical talent from over 135 countries, the majority residing in emerging markets across Africa and Latin America. As one of the world's largest talent marketplaces, Andela gives companies the flexibility to deploy qualified technologists fast — across Application Development, AI, Cloud & DevOps, and Data Engineering. Andela Talent Cloud (ATC) is our platform for managing the complete global talent lifecycle.

We're at the intersection of two industry transformations — one in staffing and hiring, one in software development — both accelerated by AI. We're looking for a builder who wants to own the platform at the center of it.

About the role

The Andela Talent Cloud platform runs Andela’s business. We're looking for a Senior Product Manager to take ownership of the platform's day-to-day: prioritization, feature development, roadmap, metrics, and maintaining a high quality bar. Andela’s throughput and quality of delivery ride on how well the platform works. You'll also help shape where the product goes next as Andela defines what it means to be relevant in the AI age.

What you'll own

  • Full day-to-day ownership of the ATC platform
    Prioritize needs across our client, operational, and talent users.

  • Fixing immediate pain points
    Close feature gaps that force staff into off-platform workarounds. You’ll have a mandate to bring day-to-day running costs down so that Andela can focus more on business acceleration.

  • Product metrics and analytics
    Build and maintain metrics and funnels to guide product decisions and catch issues before users report them.

  • Deep partnership with operations
    Our operations team uses ATC to run Andela’s business every day. Strong stakeholder relationships are key to uncovering what matters most to move Andela forward.

  • Platform QA and comms processes
    Our amazing engineering team can build and ship fast. You will work with them to maintain a high quality bar and manage communications out to customers.

  • Deep AI integration
    We’re using AI at all levels of Andela – from engineering development to interactive PRDs to integration in user-facing features. You’ll help guide Andela about how to best apply AI to deliver real value, not vaporware or empty marketing claims.

What we're looking for

  • Strong platform ownership in an operations company
    You’ve managed a system where operations teams are the core users and where failures had real business consequences. Experience at a company with at least $50M revenue range is a strong signal.

  • AI-forward disposition
    You don't need a stack of AI projects on your résumé, but you must be deeply curious about where AI is taking the industry, actively hands-on with modern AI tooling in your own workflow, and able to follow and reason about the space as it evolves.

  • Initiative and follow-through
    You see a problem, you own it end-to-end, and you drive it to done without being managed to it. The buck stops with you.

  • 5+ years of product experience
    Product management experience with a clear track record of owning a product and shipping things that drive measurable value. Prior engineering experience is a big plus.

  • Cross-functional leadership
    Relationship-building and the instinct to ask detailed, insightful questions that surface the real requirement beneath a vague ask.

  • US west coast working hours
    At least 6 hours of daily overlap with US West Coast hours (8 AM–2 PM PT).

Nice to have

  • ATS / recruiting / staffing-tech platform experience.

  • Assessment, training, or learning systems experiences.

  • Hands-on experience with AI-native development tools (e.g., Claude Code, Claude Design) or agentic workflows.

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