Technical Program Manager, CX Intelligence & AI

Coinbase

Confirmed live today High trust
Remote

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k
This role $231k
$137k $262k
below market most similar roles pay here above market

This role pays more than 81% of similar roles. Most pay $171,950–$218,056 — the blue band above. At the midpoint, this role pays about $231k versus about $195k 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, CX Intelligence & AI

The Technical Program Manager, CX Intelligence & AI serves as the embedded program management owner for the CX Intelligence & AI team. This role drives cross-functional execution across CX Ops, CX Programs, Product, Engineering, and Analytics to transform customer support into an AI-powered experience. You will define strategic roadmaps, manage a large portfolio of agent tooling and SaaS initiatives, and own project management for complex initiatives involving AI automation, analytics infrastructure, and support channel strategy. Key responsibilities include uncovering business opportunities, sizing work, and managing dependencies across product groups. Required skills include fluency with AI/ML systems, automation platforms, data pipelines, and CX technologies, alongside proficiency with BI tools like Looker and Snowflake. You will solve technical challenges by translating operational insights into systemic improvements within a regulated fintech environment.

What does a Technical Program Manager earn in Remote?

Median $208800 from 33 postings across 14 companies.

See salary data

What you'll do

  • Define and execute a strategic roadmap for high-priority CX initiatives and AI-powered support solutions.
  • Manage a portfolio of agent tooling and SaaS initiatives, including evaluating external AI automation vendors.
  • Identify ambiguous customer opportunities and align leadership on resource shifts, new projects, or cancellations.
  • Define north-star success metrics, set quarterly targets, and manage OKR reporting for leadership.
  • Document business processes to ensure proper change management for new tooling and automation rollouts.
  • Identify and implement AI-first solutions to improve CX outcomes and workflow efficiency.
  • Synchronize timelines and deliverables across Product, Engineering, Analytics, and Operations teams.

What we're looking for

  • 10+ years of experience in technical program management, product/program management, strategy, or related roles within complex, scaled technology environments.
  • Experience building or materially transforming a CX function at a product-led tech company where automation and AI were central to the roadmap (preferred).
  • Proven track record of independently uncovering business challenges, creating strategies across engineering teams, and advising L8+/VP leadership on execution paths.
  • Exceptional program management discipline to size work, sequence dependencies, manage risk, and ship complex initiatives with quantified impact.
  • Fluency with AI/ML systems, automation platforms, data pipelines, and CX technologies, including comfort with BI tools like Looker and Snowflake.
  • Experience partnering with Product, Engineering, Analytics, and Operations to translate insights into roadmap changes across multiple CX disciplines.
  • Experience within fintech, financial services, or regulated industries (preferred).
  • Ability to utilize generative AI responsibly to deliver business-ready outputs and drive measurable improvements in workflow efficiency.

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