Sr. Technical Product Manager- Workforce AI

Education 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.

• 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.

Travel Requirements

• Up to 50% of the time

Want to know more about WWT Digital? https://www.wwt.com/category/digital/overview 

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $137,000 - $175,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.

The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:

• 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

We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!

If you have any questions or concerns about this posting, please email
[email protected].

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#LI-REMOTE

Why WWT

At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients.

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.

With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all.

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

What is the Solutions Consulting & Engineering Team and why join?

Solutions Consulting & Engineering is an organization that is customer-focused and solutions-led. We deliver end-to-end and emerging solutions to drive customer satisfaction and increase profitability and growth. Our world-class management consulting, delivery excellence, and engineering brilliance enable our success. We embody the OneWWT mindset by bringing the right talent at the right time from anywhere within WWT to solve our customer’s problems. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients’ most complex challenges. 

Job Summary:  

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.

Job Responsibilities/Essential Functions/Competencies  

 Presales & client advisory

• Lead discovery workshops and scoping sessions independently, translating client business challenges into a structured engagement model across the Workforce AI service pillars.
• Build and present solution narratives, demos, POCs, and estimates; contribute to proposals and executive-ready presentations that articulate platform value and projected ROI.
• Guide clients through platform selection, use case prioritization, and build-vs-buy decisions across AI solutions, drawing on a clear understanding of each platform’s strengths, limitations, and integration patterns.
• Develop trusted advisor relationships with client stakeholders from Business and IT through to CISO, CIO, and CTO.

• Provide Product Management leadership on engagements – from platform deployment and user enablement through agent design, custom connector build, and multi-agent ecosystem extension.
• Partner with AI architects, integration engineers, data platform engineers, and change management leads to ensure technical quality and on-time delivery.
• Maintain hands-on involvement in platform configuration, agent design reviews, connector scoping, and security/permissions validation – enough depth to unblock teams and make real-time scoping decisions.
• Develop and iterate ROI frameworks tied to measurable business outcomes (e.g., time saved, adoption rates, support deflection, onboarding acceleration).
• Leverage AI tools and continue to evolve the delivery practice for efficiency and better outcomes.

• Working knowledge of AI Platforms: enterprise search, agent building, connectors (native and custom).
• Ability to scope and implement agent workflows, including tool definitions, prompt design, multi-step orchestration, and agent lifecycle governance.
• Experience scoping and overseeing connector development.
• Ability to compare AI Platform (e.g. Glean, Gemini, Claude, Copilot) capabilities in context of a client’s existing investment and recommend a prioritized, integrated approach.

• Lead or oversee executive alignment sessions, persona-based change planning, communications strategy, and user training programs tied to AI Platform adoption across departments.
• Design or guide Center of Excellence (CoE) and Champions program structures that sustain adoption beyond initial deployment.
• Define success criteria, adoption KPIs, and business outcome frameworks for each engagement phase.

• Embed responsible AI practices throughout engagement delivery: data privacy, permissions enforcement, IAM review, transparency, and audit readiness.
• Ensure Glean deployments respect source system access controls end-to-end, and that agent and connector designs pass security review.
• Guide clients on AI governance frameworks for agent lifecycle management, including testing, versioning, and change control.