Technical Program Manager, Knowledge Systems

Coinbase, Inc.
Baton Rouge, LA, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$148,835.0 - $175,100.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Database Schema Information Retrieval Knowledge Management Knowledge-Based Systems Search Technologies Unstructured Data Large Language Models

Job description

Ready to do the most impactful work of your career? AtCoinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn’t a place for complacency, it’s a place to be pushed past your perceived limits. If you’re ready to build the future of finance alongside people who refuse to settle for “good enough,” you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”learn more about working at Coinbase.

Team/ Role Paragraph: The Knowledge Systems team builds the infrastructure powering accurate knowledge across customer self-service, internal tools, and AI-assisted support. As Technical Program Manager, you will translate knowledge strategy into technical execution. This is a systems-focused role bridging customer experience, knowledge operations, and technical delivery to build the foundation required to scale support without scaling headcount linearly.

What you’ll do:

  • Own technical programs that improve the systems, tooling, and workflows behind customer self-service, internal support knowledge, and AI-assisted discovery (e.g., RAG pipelines, semantic search, and agentic workflows).
  • Drive cross-functional alignment across Knowledge Systems, engineering, product, and partner teams to translate complex knowledge taxonomies and unstructured data into clear technical specifications, APIs, schemas, and execution plans.
  • Lead the planning and delivery of high-leverage initiatives such as workflow automation, knowledge system modernization, CMS improvements, metadata and structure enhancements, and launch-readiness tooling.
  • Partner with Knowledge Systems leads to ensure knowledge is accurate, structured for machine-readability and actionability, ready ahead of launch, and governed appropriately for customer, specialist, and compliance needs.
  • Build and run an operating cadence for technical initiatives, including roadmap tracking, dependency management, risk escalation, and delivery accountability.
  • Identify opportunities to reduce manual work, improve scale, and prevent headcount from growing linearly with business complexity and launch volume.

Requirements

  • 5+ years of technical program management, systems implementation, or operational program leadership in a complex cross-functional environment.
  • Deep familiarity with modern information retrieval architectures (such as vector databases, RAG, and LLM orchestration tools like LangChain or LlamaIndex)alongside CMS platforms, structured content, and metadata models.
  • Strong systems thinking and operational judgment, with the ability to connect technical decisions to customer impact, specialist usability, compliance risk, and business performance.
  • Experience translating operational strategy into technical requirements, data schemas, and tooling investments.
  • Strong understanding of content systems, knowledge management, workflow automation, and internal tooling in operations or CX environments.
  • Proven ability to drive alignment across technical and non-technical stakeholders, especially where ownership is distributed and tradeoffs must be actively managed.
  • Demonstrated experience leading ambiguous, multi-team initiatives from concept through launch with clear accountability, risk management, and measurable outcomes.
  • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality

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