[Hiring] Senior Technical Product Manager - Workforce AI @World Wide Technology Healthcare Solutions

Role Description

The Sr. Technical Product Manager within the Workforce AI practice leads the discovery, solutioning, and delivery of enterprise AI engagements centered on the Glean AI Platform, with secondary expertise in Google Gemini & Claude. This role sits at the intersection of client advisory, technical presales, and hands-on delivery – serving as the primary client-facing resource who can run a scoping session independently, architect a solution, and lead an engagement from kickoff through value realization.

The ideal candidate is fluent enough in platform implementation, agent design, and custom data connector development to hold detailed technical conversations with architects and engineers, while also being comfortable presenting ROI narratives and adoption strategies to C-suite stakeholders. This is not a pure PM role – it requires direct delivery ownership and the commercial instinct to identify and qualify new opportunities.

Qualifications

• Bachelor’s degree required (Computer Science, Engineering, Robotics, Systems, or related preferred).
• Master’s degree a plus (AI/ML, Robotics, Computer Vision, Systems Engineering, HCI).
• 6–10+ years of experience in technical product management, solution architecture, or consulting delivery for enterprise software or AI platform engagements.
• Demonstrated success supporting presales independently: running discovery sessions, building solution narratives, creating estimates, and contributing to proposals and executive presentations.
• Working knowledge of agent design principles: prompt engineering, tool/function definition, multi-step orchestration, and agent testing and governance.
• Experience scoping or overseeing API-based integrations and custom data connectors, including understanding of REST/GraphQL, authentication patterns (OAuth, SAML), and permissions/IAM models.
• Strong understanding of enterprise AI concepts – RAG, semantic search, embeddings, LLM grounding – and the ability to translate them into client-facing business value narratives.
• Proven ability to manage cross-functional delivery teams and hold accountability for engagement outcomes in a consulting or professional services environment.
• Excellent communication and stakeholder management skills: equally comfortable in a technical architecture review and a C-suite ROI conversation.

Requirements

• Direct Glean platform experience: Glean admin, Agent Builder, connector framework, or Glean API.
• Experience with Google Gemini and Claude Enterprise.
• Familiarity with data platforms (Snowflake, Databricks, BigQuery) in the context of enterprise AI grounding and semantic layer design.
• Experience designing or facilitating organizational change management programs, Center of Excellence models, or AI adoption strategies.
• Understanding of enterprise security architecture as it relates to AI platforms: IAM, SSO, data classification, and permissions enforcement.
• Familiarity with MCP (Model Context Protocol) and emerging agentic integration standards.
• Experience using AI-assisted development tools to accelerate prototyping and delivery (e.g., Claude Code, Cursor, Cognition, or similar).
• Hands-on familiarity with Glean or a comparable enterprise AI search/knowledge platform (e.g., Microsoft Copilot, Coveo, Guru, Notion AI), with the ability to ramp quickly on Glean-specific capabilities.
• Up to 50% travel required.

Benefits

• Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program.
• Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement.
• Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement.
• Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program.