Engineering Manager

Cloud spend is a whopping $500 billion/yr, the biggest growing expense category for any tech company - tackling these costs requires continuous effort and time from DevOps teams.

Pump is a building the fastest way to save ~60% on cloud spend. Our AI-powered platform not only fully automates savings but we also leverage the power of group buying for even greater discounts. Our mission is to use AI to transform the status quo of cloud cost optimization.

We are backed by Y Combinator and our founding team consists of seasoned entrepreneurs with prior exits. We have a transparent, collaborative and a fast-paced culture that prioritizes winning with a flat organizational structure.

We're looking for a hands-on Engineering Manager to lead and grow our engineering team as we scale our AI-powered cloud optimization platform. You'll play a key leadership role in shaping technical strategy, building scalable systems, and mentoring top-tier engineering talent.

This is an onsite role where you’ll stay actively involved in architecture and coding, while also managing people and processes. You’ll work closely with the founding team and cross-functional partners to ensure our engineering organization is aligned with product and business goals.

• Lead and scale the engineering team from 10 to 20+ engineers, including hiring and team structuring
• Stay hands-on with architecture and development—this is a technical leadership role
• Own the 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 we grow

• 7+ years of total engineering experience
• 5** + years** in a managerial or technical leadership role
• Experience as a CTO, Eng Lead, or similar role at a company with $5M–$30M+ ARR
• Strong backend and infrastructure expertise, particularly with AWS, GCP, or Azure
• Solid understanding of AI/ML applications in cloud or infrastructure optimization
• Degree in Computer Science or a related technical field
• Availability to work onsite in San Francisco, Monday–Friday

• Previously managed or scaled engineering teams of 10–15+ people
• Built and scaled backend systems used by thousands of users
• Product-minded and data-driven with strong communication skills
• Comfortable navigating ambiguity and moving quickly in a startup environment
• Experience in a Series A or growth-stage startup a strong plus
• Previous founder or early employee experience is a bonus

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

Compensation

$180,000—$250,000 USD