About Goodera

Goodera is the world’s leading employee volunteering platform, powering companies to scale employee volunteering experiences globally through our innovative technology platform and unique operating model. With a presence in over 100 countries and support for 30+ languages, we connect over 500 clients—including 60+ Fortune 500 companies—with meaningful volunteer opportunities tailored to their communities. To date, our impact has reached over 10 million beneficiaries, powered by 1 million+ employee volunteers and a network of 50,000+ nonprofit partners. Growing at 100% year on year, we are backed by top investors including Zoom Ventures, Elevation Capital, Nexus  Venture Partners, Omidyar Network, and Ursula Burns.

The Role

We're hiring an AI Product Manager to own AI across the Goodera platform and our internal operations.

This is a hands-on PM role, not a strategy seat. You'll ship features that customers and internal teams use every day — and you'll be measured on adoption, quality, and operational leverage, not on the number of AI initiatives launched. You'll work closely with engineering, design, ops, and customer success, and you'll report into the product leadership team.

What you'll work on

The problem space spans both the customer-facing platform and the internal operations engine that runs 1500+ events a month. Concretely:

• Booking and discovery intelligence — smart event recommendations, guided booking flows, and search/filtering across our opportunity catalogue so champions and admins can find the right event for their team without having to know exactly what they want.

• Content and collateral automation — flyers, decks, KBYG documents, post-event recap videos and impact summaries. Today these are partially automated; you'll own the roadmap to take them further with multimodal generation and quality checks.

• Translation and localization — we already run an AI-assisted translation workflow across ~150 multilingual assets a month. You'll evolve this into something more accurate, more reviewable, and broader in coverage.

• Internal AI tooling for ops, hosts, and program managers — extending the internal AI Agent Store, building copilots for repetitive workflows (host comms, event setup, escalation triage), and helping the org operate at higher leverage as we scale.

• Quality and trust — content validation, brand consistency, and guardrails so that AI-generated outputs going to clients and volunteers meet our bar before they ship.

What we're looking for

• 2-4 years of product management experience, with at least 1–2 years shipping AI/ML or LLM-powered features in production.

• Strong product instincts and design taste. You can tell the difference between an AI feature that genuinely solves a problem and one that's there because AI is in the name.

• Comfort going deep — writing detailed specs, sitting with engineers to debug a prompt or a pipeline, watching real users (champions, hosts, program managers) use what you've built and iterating fast.

• Solid grasp of how modern LLM products are built end-to-end: prompt design, evals, retrieval, agent workflows, fine-tuning trade-offs, cost and latency considerations. You don't need to be an ML engineer, but you need to be a credible counterpart to one.

• Comfort working with messy, real-world data — events, photos, host notes, nonprofit profiles, multilingual content — and turning that into something an AI system can reliably reason over.

• Experience with prototyping and "vibe-coding" tools (Lovable, Cursor, Claude, Relay, etc.) is a strong plus. A lot of our internal AI tooling has been built this way before it ever goes to engineering.

Nice to have

• Familiarity with Asana / Jira / Linear, and with Metabase or similar BI tools for tracking feature performance.

• Experience designing human-in-the-loop review workflows for AI-generated content.