Technical Program Manager, CX Intelligence & AI

Coinbase

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$212,330–$249,800 / yr
Posted
53 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $231k
$139k most similar roles pay here $265k

This role pays more than 80% of similar roles. Most pay $174,950–$222,301 — the shaded band above. At the midpoint, this role pays about $231k versus about $199k 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 58 open roles on FindRole.

Listed pay typically runs $215,177–$253,150 across 50 roles with salary data.

Most-posted roles

View all roles at Coinbase

At a glance

TL;DR · Technical Program Manager, CX Intelligence & AI

As the Technical Program Manager, CX Intelligence & AI, you will serve as the embedded program management owner for all of CX, driving cross-functional execution across operations, programs, product, engineering, and analytics. You will manage a large portfolio of agent tooling and SaaS initiatives involving AI automation, customer insights, and analytics infrastructure to transform support into an AI-powered experience. Your daily work involves defining strategic roadmaps, managing complex dependencies, and identifying opportunities where solutions are not yet well understood. You will utilize technical depth in AI/ML systems, automation platforms, data pipelines, and tools like Looker and Snowflake to drive innovation. The role focuses on the specific challenge of building an intelligent layer for customer support within a regulated fintech environment, requiring you to translate operational insights into systemic improvements through automated workflows and advanced technology integration.

What does a Technical Program Manager earn in Remote?

Median $210285 from 30 postings across 17 companies.

See salary data

What you'll do

  • Define strategic roadmaps and partner with Engineering to deliver high-priority AI solutions for customer experience challenges.
  • Manage a portfolio of agent tooling and SaaS initiatives including AI automation and analytics infrastructure.
  • Evaluate external vendors to integrate new AI automation solutions into the existing technology stack.
  • Identify ambiguous customer opportunities and drive leadership alignment to prioritize resources, launch projects, or cancel initiatives.
  • Define success metrics and manage the source of truth for OKR performance and reporting to leadership.
  • Document business processes to ensure effective change management during the rollout of new tools and automation.
  • Innovate AI-first solutions across all responsibilities to improve customer outcomes and operational efficiency.

What we're looking for

  • 10+ years of experience in technical program management, product/program management, or strategy within complex, scaled technology environments.
  • Experience building or transforming a CX function at a product-led tech company where automation and AI were central to the roadmap.
  • Proven ability to independently identify business challenges and create strategies for engineering teams while advising senior leadership on execution paths.
  • Demonstrated success managing cross-functional program portfolios with high ambiguity, external dependencies, and complex risk management.
  • Fluency with AI/ML systems, automation platforms, data pipelines, and CX technologies.
  • Proficiency with analytics partners and BI tools like Looker and Snowflake to define metrics and interpret trends.
  • Experience partnering with Product, Engineering, Analytics, and Operations teams in fintech or other regulated industries.
  • Ability to use generative AI responsibly to improve workflow efficiency, cost, and quality.

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