Key skills
Product managementProduct analyticsBehavioral data analysisProduct instrumentationAI product designEnterprise deploymentLLM behavior managementPsychometricsTalent scienceEvidence-based designCustomer engagementPrioritizationExecutional excellenceAILLMAgenticAnalyticsProduct ManagementDecision MakingSales
About this role
Workera is a Silicon Valley company focused on building a skills intelligence platform for the AI era. As the Senior Manager of Product Management, you will lead a team of product managers to enhance the user experience and platform interoperability while driving operational excellence and product delivery.
Responsibilities:
- Lead the PMs responsible for building our agentic authoring and delivery platform, user experience, and platform interoperability
- Work closely with engineering leads, product design, and peers across PMM, partner and direct sales, and the customer organization
- Ensure the product team ships with precision and uses behavioral data for decision making
- Improve the craft of PMs on your team and enhance their capabilities
- Ensure AI-native products earn customer trust and drive expansion
- Create an operating model that others want to replicate and integrate continuous discovery into team operations
Requirements:
- You've led a PM team, not just contributed to one. You can point to initiatives where your ability to align, prioritize, and execute across functions was the deciding factor
- You've built feedback systems, not just products. Discovery is a habit for you, and customer conversations and usage data are first-class inputs to every decision you make
- You treat instrumentation as a product requirement, not an afterthought. You've built products where measurement was designed in from the start, and you've led teams to do the same
- You're analytically fluent. You work directly in product analytics, know how to interpret behavioral data, and can tell the difference between a metric that matters and one that flatters
- You think about AI as a product design problem, not a backend detail. You have hands-on experience shaping how LLM behavior becomes user experience — including failure modes, guardrails, and evaluation
- You understand enterprise deployment realities — permissions, procurement, integrations, buyer/user dynamics — and have built with those constraints in mind from the start
- Exposure to psychometrics, talent science, or evidence-based design is a meaningful plus