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Senior Product Manager, Mobile Conversational AI

United States, Austin · Job Posted May 28, 2026
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Job Description

As a Senior Product Manager, Mobile Conversational AI, you will define and lead the strategy for the conversational AI experience inside GM's flagship mobile applications. You will own the end-to-end customer experience for how owners and drivers interact with GM through natural language, from intent capture and dialogue design to response rendering, multi-modal interactions, and follow-up actions across the app.

Job Responsibility

  • 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

  • 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

Nice to have

  • 3+ years of product management experience focused on mobile applications (iOS/Android) as a primary surface
  • MBA or advanced degree in Business, Engineering, Computer Science, HCI, or a related field
  • Experience shipping production LLM- or agent-based products at consumer scale, including evaluation pipelines and human-in-the-loop quality programs
  • Familiarity with multi-agent architectures, tool/function calling, RAG systems, and orchestration frameworks
  • Experience with voice and multi-modal interactions (e.g., speech-to-text, text-to-speech, in-vehicle assistants)
  • Background in automotive, connected vehicle, IoT, or another domain with deep integrations between mobile, cloud services, and physical devices
  • Experience working with Responsible AI, Privacy, and Safety programs for customer-facing AI experiences
  • Track record of driving engagement and retention in high-scale consumer mobile applications

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