Technical Program Manager, Knowledge Systems

Coinbase

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$148,835–$175,100 / yr
Posted
13 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k
This role $162k
$133k $249k
below market most similar roles pay here above market

This role pays less than 80% of similar roles. Most pay $165,000–$219,481 — the blue band above. At the midpoint, this role pays about $162k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About Coinbase

Coinbase Global is a publicly traded cryptocurrency exchange platform where consumers can buy, sell, and store digital currencies including Bitcoin, Ethereum, and hundreds of other cryptocurrencies. Industry: Cryptocurrency Exchange & Financial Technology

Coinbase currently has 94 open roles on FindRole.

Listed pay typically runs $191,250–$218,900 across 85 roles with salary data.

Most-posted roles

View all roles at Coinbase

At a glance

TL;DR · Technical Program Manager, Knowledge Systems

The Technical Program Manager, Knowledge Systems joins the Knowledge Systems team to translate knowledge strategy into technical execution. This role focuses on building the infrastructure for customer self-service, internal tools, and AI-assisted support to scale operations without increasing headcount linearly. You will own technical programs to improve systems, workflows, and AI-assisted discovery, including RAG pipelines, semantic search, and agentic workflows. Responsibilities include driving cross-functional alignment to turn complex taxonomies into technical specifications, APIs, and schemas. You will lead initiatives for workflow automation, CMS improvements, and metadata enhancements. Required expertise includes information retrieval architectures like vector databases, LangChain, and LlamaIndex, alongside CMS platforms and metadata models. You must demonstrate systems thinking to connect technical decisions to customer impact, compliance risk, and business performance.

What does a Technical Program Manager earn in Remote?

Median $208800 from 33 postings across 14 companies.

See salary data

What you'll do

  • Own technical programs to improve systems, tooling, and workflows for customer self-service and AI-assisted discovery.
  • Translate complex knowledge taxonomies and unstructured data into technical specifications, APIs, schemas, and execution plans.
  • Lead the planning and delivery of workflow automation, CMS improvements, and metadata structure enhancements.
  • Ensure knowledge is structured for machine-readability and governed for customer, specialist, and compliance needs.
  • Build and run an operating cadence for roadmap tracking, dependency management, risk escalation, and delivery accountability.
  • Identify opportunities to reduce manual work and prevent headcount from growing linearly with business complexity.
  • Utilize generative AI responsibly to drive measurable improvements in workflow efficiency, cost, and quality.

What we're looking for

  • 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 including vector databases, RAG, and LLM orchestration tools like LangChain or LlamaIndex.
  • Experience with CMS platforms, structured content, and metadata models.
  • Ability to translate 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 and manage distributed ownership and tradeoffs.
  • Demonstrated experience leading ambiguous, multi-team initiatives from concept through launch with clear accountability and risk management.
  • Experience utilizing generative AI responsibly to deliver business-ready outputs and improve workflow efficiency.

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