Senior Manager, Product Management (AI)

TL;DR

Senior Manager, Product Management (AI): Leading PMs responsible for building agentic authoring and delivery platform, user experience, and platform interoperability with an accent on AI-native product craft. Focus on reducing friction in decision-making, shipping, and customer adoption.

Location: Only able to hire for this role in North America (ET or CT required)

Company

Workera's skills intelligence platform is the critical infrastructure for the AI era, helping organizations understand, mobilize, manage, and develop their talent with precision.

What you will do

• Lead a team of PMs owning assessment authoring, assessment delivery, enterprise platform, and user experience.
• Drive decision-making from behavioral data and ensure instrumentation is designed in from the start.
• Ensure Workera’s AI-native skill verification system is an experience that enterprise customers renew on and grow into.
• Own model behavior as a product problem, including prompts, failure modes, guardrails, and evaluation.
• Drive continuous discovery and ensure customer insight and usage data are first-class inputs to every prioritization decision.
• Establish an operating model that captures the advantage of AI, proving that a focused team can outpace larger organizations.

Requirements

• You've led a PM team and can point to initiatives where your ability to align, prioritize, and execute across functions was the deciding factor.
• You've built feedback systems, and customer conversations and usage data are first-class inputs to every decision you make.
• You treat instrumentation as a product requirement and have built products where measurement was designed in from the start.
• You're analytically fluent and know how to interpret behavioral data.
• You think about AI as a product design problem and have hands-on experience shaping how LLM behavior becomes user experience.
• You understand enterprise deployment realities and have built with those constraints in mind from the start.

Nice to have

• Exposure to psychometrics, talent science, or evidence-based design is a meaningful plus.

Culture & Benefits

• AI isn't a feature we sell — it's how we operate.
• Every team member is expected to use AI daily and actively experiment with new tools.
• Build your own leverage by automating workflows.
• Think in systems, not tasks, and build repeatable, scalable solutions.