Technical Program Manager, Knowledge Systems
Coinbase is hiring a Technical Program Manager, Knowledge Systems for a remote role open to applicants in United States. It pays $149k-$175k a year and Level rates it ; you can apply on Coinbase.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include LangChain, LlamaIndex and RAG Pipelines.
- Level classifies it as a senior role.
- Level lists 226 other open roles at Coinbase.
AI in this role
Manage technical programs and infrastructure for AI-assisted customer support and semantic knowledge systems.
Ready to do the most impactful work of your career? At Coinbase, 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.
Required skills and experience:
- 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
JOB ID: P77124
Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
Annual base salary range (excluding equity and bonus):$148,835—$175,100 USD
- Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
- Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
- US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
- Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
- Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
How we rate this
Technical Program Manager, Knowledge Systems at Coinbase rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where technical program management was part of your work. What did you do?
- Tell me about a project where knowledge systems was part of your work. What did you do?
- Tell me about a project where semantic search was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, Technical Program Management, Knowledge Systems, and Semantic Search. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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