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Senior Product Manager, Mobile Conversational AI
General MotorsSenior Product Manager defining and leading the conversational AI strategy for GM's mobile apps. Collaborating in product strategy, AI, and customer experience.
Tech Stack
Tools & technologiesAndroidCyber SecurityFirebaseiOSSQL
About the role
Key responsibilities & impact- Own the long-term vision, roadmap, and KPIs for the mobile conversational AI experience across iOS and Android, defining what “great” looks like for customers interacting with GM via natural language
- Lead the end-to-end customer experience, including entry points, conversation UI, voice and text modalities, response formatting, error handling, hand-offs to humans or deeper app flows, and continuity across sessions
- Partner closely with agent, platform, and backend services teams to integrate new conversational use cases into the mobile experience, defining clear contracts, latency and quality expectations, and a consistent customer experience across agents built by different teams
- Develop the interaction design system for conversational AI in collaboration with Design and Research, covering tone of voice, prompt patterns, suggested actions, citations/disclosures, and fallback behaviors
- Define and drive the trust, safety, and quality bar for the experience, including policies for accuracy, transparency, escalation, and customer feedback loops
- Establish success metrics (task completion, containment, CSAT, latency, deflection, engagement, retention) and build dashboards and review rituals to track and improve them over time
- Run a continuous experimentation and evaluation program, A/B tests, prompt and model evaluations, and qualitative research, to iteratively improve customer outcomes
- Work with Legal, Privacy, Cybersecurity, and Responsible AI partners to ensure the experience meets GM’s standards for data handling, consent, and responsible AI
- Collaborate with Customer Care, Marketing, and Brand teams to align the conversational experience with broader customer journeys and to surface insights from real conversations back into the product organization
- Be the voice of the customer for conversational AI inside GM, communicating strategy, progress, and trade-offs clearly to senior stakeholders
Requirements
What you’ll need- 5+ years of digital/software product management experience
- 2+ years of hands-on product experience with conversational AI, virtual assistants, chatbots, voice interfaces, or LLM-powered products
- Proven ability to own and ship a customer-facing experience end-to-end in a complex environment with many upstream dependencies
- Strong understanding of LLMs, prompt design, retrieval, evaluation methods, and the trade-offs between model quality, latency, and cost, sufficient to make informed product decisions and partner credibly with AI/ML teams
- Demonstrated success partnering with platform, backend, and agent teams to compose a single coherent product experience from independently delivered services
- Excellent UX intuition for mobile, with experience working with Design on novel interaction patterns where best practices are still emerging
- Expertise in defining metrics and using analytics, experimentation, and user research to drive product decisions; comfortable with tools such as Adobe, Mixpanel, Firebase, SQL, or equivalent
- Strong written communication and narrative skills, able to articulate vision, strategy, and trade-offs clearly to engineers, designers, and senior executives
- Demonstrated success leading cross-functional initiatives in fast-paced, matrixed organizations
Benefits
Comp & perks- From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions
- Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
product managementconversational AIvirtual assistantschatbotsvoice interfacesLLMprompt designevaluation methodsUX designanalytics
Soft Skills
communicationcollaborationleadershipcustomer advocacystrategic thinkingproblem-solvingnarrative skillscross-functional leadershipadaptabilitycreativity