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Pump

AI-driven AWS cloud cost optimization

Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 7 years of total engineering experience.
  • At least 5 years in a managerial or technical leadership role.
  • Experience as a CTO, Engineering Lead, or similar role at a company with $5 million–$30 million or more in annual recurring revenue.
  • Strong backend and infrastructure expertise, particularly with AWS, GCP, or Azure.
  • A solid understanding of AI/ML applications in cloud or infrastructure optimization.
  • A degree in Computer Science or a related technical field.
  • Availability to work onsite in San Francisco, Monday through Friday.

Responsibilities

  • Lead and scale the engineering team from 10 to more than 20 engineers, including hiring and team structuring.
  • Remain hands-on with architecture and development as a technical leader.
  • Own delivery of scalable, performant systems across AI, infrastructure, and cloud services.
  • Collaborate with product, design, and business teams to translate strategy into execution.
  • Mentor and develop engineers at all levels, fostering a high-performing, inclusive culture.
  • Help shape engineering culture, tooling, and practices as the organization grows.

Desired Qualifications

  • Experience managing or scaling engineering teams of 10–15 or more people.
  • Experience building and scaling backend systems used by thousands of users.
  • Product-minded and data-driven approach.
  • Ability to navigate ambiguity and move quickly in a startup environment.
  • Experience in a Series A or growth-stage startup.
  • Previous founder or early-employee experience.

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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