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Staff Product Manager - AI SaaS Collaboration

General Motors, Austin, Texas, us, 78716

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The Role: The SaaS Collaboration Engineering Team within GM’s Core IT organization is looking for a Staff level Product Managers. Responsible for managing a distinct set of IT tools focused on Enterprise AI Tools.

The successful candidate will demonstrate the ability to own the end-to-end product lifecycle for their suite of designated tools. Each will partner with key senior stakeholders to deliver modern, intuitive and scalable experiences while ensuring strong governance, measurable value, and high adoption across a global, diverse workforce.

What You’ll Do: Product Strategy & Leadership

Define and own the long-term product vision and multi-year roadmap for GM’s Core IT Enterprise AI tools.

Translate IT strategies into prioritized product outcomes, clear use cases, and measurable business value.

Serve as a thought leader influencing product direction and strategy.

Collaborate closely with engineering, UX, change management, and operations to ensure on-time, high-quality delivery and resilient, supportable solutions.

Executive & Business Partnership

Partner with senior leaders to shape strategy, clarify priorities, and align on desired outcomes and success metrics.

Lead discovery and framing of complex problems, synthesizing user research, analytics, and stakeholder input into clear problem statements and solution approaches.

Influence decision-making across collaboration, infrastructure, data, security, legal, and compliance stakeholders, driving consensus on roadmap, investment, and risk posture.

Vendor & Platform Strategy

Manage strategic relationships with vendors and key partners.

Lead fit-gap analysis, build‑vs‑buy decisions, and business cases for new capabilities and platform investments.

Drive vendor accountability for roadmap alignment, delivery quality, security, innovation, and value realization, including SLAs and performance metrics.

Monitor the external market for technologies, identifying opportunities to pilot and scale new capabilities.

Value Realization & Optimization

Define and track KPIs to measure adoption, engagement, quality, productivity, and impact (e.g., time saved, reduced manual effort, improved decision speed).

Use analytics, user feedback, and experimentation to continuously optimize product performance and user experience.

Proactively identify low‑value, redundant, or underused tools and features and lead efforts to rationalize, simplify, or retire them.

Employee Digital Experience Leadership

Champion a consistent, intuitive, and personalized employee and manager experience across platforms and endpoints (desktop, mobile, web).

Partner with UX, change management, and communications teams to design user‑centric experiences and drive awareness, adoption, and sustained behavior change.

Ensure solutions scale globally, support diverse workstyles (remote, hybrid, on‑site), and meet accessibility and localization needs.

Your Skills and Abilities (Required Qualifications):

Experience leading Enterprise AI Tools: Experience supporting tools within the AI technology space such as MoveWorks, Serval, and Glean.

Bachelor’s degree in Business, Information Systems, Computer Science, Human‑Computer Interaction, Technology Management, related field; or equivalent work experience.

7+ years of relevant experience in product management, digital workplace/collaboration platforms, SaaS applications, or enterprise technology roles.

Demonstrated hands‑on experience using tools like Jira to manage complex backlogs, multiple workstreams, and cross‑team delivery.

Strong understanding of collaboration and productivity use cases, digital employee experience, and end‑user support models.

Excellent communication, facilitation, and storytelling skills, with the ability to engage both technical and non‑technical audiences.

What Will Give You A Competitive Edge (Preferred Qualifications):

Experience supporting large, global organizations with diverse roles, regions, and environments.

Experience leading SaaS transformations, migrations from on‑prem or legacy tools to modern cloud collaboration and AI platforms.

Background in user research, service design, or design thinking for digital employee experiences.

Experience working closely with security, legal, and compliance teams on collaboration and AI‑related risks.

Master’s Degree Business, Information Systems, Computer Science, Human‑Computer Interaction, Technology Management or related field.

Strategic product leadership with the ability to define vision, set direction, and drive execution.

Executive‑level communication and influence, including the ability to build business cases and drive consensus.

Strong business and technology acumen related to collaboration, productivity, and digital employee experience.

AI‑first and employee‑experience mindset, focused on simplifying work and augmenting human potential.

Data‑driven decision‑making using quantitative and qualitative insights.

Comfort navigating ambiguity and change, with a bias toward experimentation, learning, and iterative improvement.

Company Vehicle Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

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