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Technical Program Manager, CX Intelligence & AI

212k – 250kUnited StatesRemote10+ YOE
Summary

Lead Technical Program Manager driving AI-powered CX transformation at Coinbase. Owns cross-functional execution across CX Ops, Product, Engineering, and Analytics for agent tooling, automation, and intelligence initiatives.

About the role

What you'll do

  • Define a strategic roadmap and partner with Engineering to deliver high-priority initiatives and innovative solutions to CX challenges, while executing ongoing and annual roadmapping for priority programs across multiple product areas and holding the line on quality across product and operational areas.
  • Own a large portfolio of agent tooling and SaaS initiatives spanning AI automation, customer/agent insights, analytics infrastructure, and support channel strategy, including evaluating external vendors for new AI automation solutions to leverage as part of the tooling stack.
  • Independently uncover CX and customer opportunities where neither the problem nor the solution is well understood, and drive alignment with CX and Engineering leadership to shift resources, launch new projects, or cancel existing initiatives by leveraging frameworks and presenting tradeoffs to drive the right business priorities.
  • Own opportunity sizing, define north-star success metrics, and set quarterly targets for shared KRs in partnership with EAA product managers, while managing the source of truth for OKR performance and program reporting to leadership (WBR/QBR).
  • Drive business process documentation to ensure proper change management and rollout of tooling and automation changes across CX.
  • Innovate with technology and drive AI-first solutions across all responsibilities, continuously identifying opportunities to leverage automation and emerging AI capabilities to improve CX outcomes.

Required Skills and Experience

  • 10+ years of experience in technical program management, product/program management, strategy, or related roles within complex, scaled technology environments, preferably supporting CX engineering teams, with prior experience building or materially transforming a CX function at a product-led tech company where automation and AI were central to the roadmap.
  • Proven track record independently uncovering business and customer challenges where neither the problem nor the solution is well understood, creating strategies that span engineering teams, and demonstrated ability to make the call or escalate the need to shift resources, launch new projects, or cancel existing programs, including advising L8+/VP leadership on optimal execution paths and managing push-back.
  • Exceptional program management and execution discipline with the ability to size work, sequence dependencies, manage risk, and ship complex initiatives on time with quantified impact, including demonstrated success owning cross-functional, cross-org program portfolios with high ambiguity and external dependencies (regulatory, vendor, multi-product launches).
  • Fluency with AI/ML systems, automation platforms, data pipelines, and CX technologies, with the ability to leverage technical depth in your area and technical breadth across Coinbase to innovate, improve upon, and simplify technology solutions, combined with comfort working with analytics partners and BI tools (e.g., Looker, Snowflake) to define metrics, interpret trends, and make tradeoffs grounded in data.
  • Experience partnering deeply with Product, Engineering, Analytics, and Operations to translate customer and operational insights into roadmap changes and systemic improvements, with a background spanning multiple CX disciplines (VoC/insights, AI/ML, analytics, QA, content/knowledge management, experimentation, or workforce management) and comfort rotating across them, ideally within fintech, financial services, or regulated industries, with familiarity with Coinbase's products, customer segments, and risk surface or the curiosity to rapidly build that knowledge.
  • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Skills
Technical Program ManagementAI/ML SystemsAutomation PlatformsData PipelinesCX TechnologiesLookerSnowflakeProduct ManagementEngineering CollaborationAnalytics
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