Pump

AI-driven AWS cloud cost optimization

Technical Product Manager

Technical Product ManagementConfirmed live in the last 24 hours

Full-timeSan Francisco, CA, USA

About the Job

Requirements

Three to seven years of product management experience; experience at a fast-growing B2B SaaS startup is ideal.
A track record of shipping technical products adopted and paid for by customers.
Technical fluency to discuss infrastructure, APIs, and data in depth with engineers.
Comfort using SQL and analytics tools to make data-driven decisions.
Hands-on experience with AI tools such as Claude and Cursor for prototyping, analysis, and workflow acceleration.
Availability to work onsite five days a week in the San Francisco office.

Responsibilities

Own the roadmap for the product area, from discovery and prioritization through launch and iteration.
Speak regularly with customers, including engineers, platform teams, and finance leaders, to understand cloud and AI cost challenges.
Write product specifications and work with engineering and design to ship quickly without compromising quality.
Define success metrics, track adoption, and measure savings delivered by product features.
Partner with sales, customer success, and marketing on launches, positioning, and customer feedback loops.
Monitor changes in cloud pricing, the FinOps tooling market, and AI infrastructure.

Desired Qualifications

Experience in cloud infrastructure, observability, developer tools, or FinOps.
Experience with usage-based or consumption-priced products.
Former engineering or founder experience.

About the Role

We’re hiring a Product Manager to help decide what Pump builds next as we grow from cloud savings into AI cost optimization. You’ll own key parts of our platform, from savings and billing visibility across AWS, GCP, and Azure to tracking LLM and AI usage. Your job is to turn customer problems into products thousands of companies rely on. You’ll work directly with our founders, engineers, and designers with little process in between, and help shape our company culture and values.

Responsibilities

Own the roadmap for your product area, from discovery and prioritization to launch and iteration
Talk to customers constantly, including engineers, platform teams, and finance leaders, to understand their cloud and AI cost pain points
Write clear product specs and work closely with engineering and design to ship fast without cutting quality
Use data to make decisions: define success metrics, track adoption, and measure the savings our features deliver
Partner with sales, customer success, and marketing on launches, positioning, and customer feedback loops
Stay ahead of changes in cloud pricing, the FinOps tooling market, and AI infrastructure

Qualifications

3–7 years of product management experience, ideally at a fast-growing B2B SaaS startup
Track record of shipping technical products that customers adopted and paid for
Technical enough to go deep with engineers on infrastructure, APIs, and data, without needing a translator
Strong product sense, with a preference for clean, simple user experiences
Comfortable with SQL and analytics tools; makes decisions from data
Hands-on with AI tools like Claude and Cursor to prototype, analyze, and move faster
Excellent written and verbal communication
Ability to thrive in a fast-paced, constantly evolving environment
Available to work 5 days a week onsite in our San Francisco office

Bonus Points

Experience in cloud infrastructure, observability, dev tools, or FinOps
Experience with usage-based or consumption-priced products
Former engineer or founder

Benefits

Competitive compensation + equity
Comprehensive healthcare and dental coverage for you
401(k) plan
Generous PTO: 13 accrued days, plus company shutdown December 24–January 1
Free lunch & dinner at the office
Annual company-paid retreats
Developmental bonuses: support for professional development tied to cloud and related fields

About the Company

Pump

AI-driven AWS cloud cost optimization

Pump automates cloud cost savings for AWS by using artificial intelligence to identify and apply optimal optimization strategies without any engineering input from customers. By analyzing usage and automatically applying savings plans, it serves businesses spending roughly $1,000 to $200,000 per month on AWS. Its group billing model pools savings across a growing base and it charges a fee based on the savings achieved. Its goal is to democratize FinOps and make meaningful, hassle-free AWS cost reductions accessible for companies of all sizes.

Company size: 51-200
Company stage: Seed
Total funding: $4.1M
Headquarters: San Francisco, CA
Founded: 2022

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