Technical Product Manager

present of AI; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Pump.co is looking for a product manager who can own a product area from customer conversations to shipping and measuring results. The role leans technical, with expectations to discuss infrastructure, APIs and data with engineers, and to pull numbers with SQL.

The role focuses on AI spend tracking and FinOps, offering practice with AI tools and prototyping ideas. You will gain exposure to AI infrastructure and usage metrics to guide product decisions.

Qualifications

• Own a product area end to end from discovery to shipping and measurement.
• Experience with B2B products at a fast-moving startup.
• Able to discuss infrastructure, APIs and data with engineers and pull numbers with SQL.

Responsibilities

• Own a product area end-to-end, from talking with customers to shipping and measuring results.
• Collaborate with engineers on infrastructure, APIs and data, and pull experimental and operational metrics with SQL.

Skills

SQL

Data-driven decisions

Customer discovery with engineers

Prototyping with AI tools

FinOps knowledge

Tools

AI coding tools

APIs

Job description

This role asks for a product manager who can own a product area end to end, from talking with customers to shipping and measuring results. The work leans technical, so a strong candidate can discuss infrastructure, APIs and data with engineers directly and is comfortable pulling their own numbers with SQL. Someone with a few years of B2B product experience at a fast-moving startup, plus a feel for simple, clean design, would fit well.

How it fits the AI era

The company is moving from cloud savings into tracking and optimizing AI spend, so AI is both the tool and the subject of the work. Prototyping, analysis and drafting can go faster with AI assistants, which frees time for harder calls. Deciding which customer problems matter, earning trust with finance and platform leaders, and judging what is worth building stay human.

How it builds AI experience

The role offers a close view of how companies spend on LLMs and AI infrastructure, which is a fast-growing problem for many teams. A candidate can build experience by learning how usage-based AI pricing works and by prototyping product ideas with AI coding and analysis tools. Working on features that measure AI usage and savings gives direct practice in judging what AI products really cost to run.

Worth showing

• Shipped technical B2B products
• SQL and data-driven decisions
• Customer discovery with engineers
• Prototyping with AI tools
• Cloud cost or FinOps knowledge

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Pump.co

A free platform that, the company says, cuts a company's AWS, GCP and Azure bills by pooling many customers' cloud spend to unlock volume discounts, without engineering work.