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.

About Pump

Pump is an AI-driven cloud cost optimization platform that helps companies reduce cloud spend and maximize performance across AWS, GCP, and Azure. We’re backed by top-tier investors and rapidly scaling our team to meet growing customer demand.

About the Role

We’re looking for an Engineering Manager to lead and scale our engineering team as we build the future of cloud cost optimization. You'll be hands-on with architecture and coding, while also managing and growing a high-performing team.

You’ll work closely with our founding team to define technical strategy, build scalable infrastructure, and deliver an outstanding product to thousands of customers.

Key Responsibilities

• Lead and scale the engineering team from 5 to 10+ engineers, including hiring and team structure.
• Remain hands-on with coding and architecture—this is a technical leadership role, not purely managerial.
• Drive development of our AI-powered platform with a focus on scalability, reliability, and performance.
• Collaborate with product, design, and business teams to align engineering with company goals.
• Mentor and develop engineers across levels, fostering a strong, inclusive, and high-performing culture.
• Stay up to date on the latest in AI, cloud computing, and infrastructure technologies.

Minimum Qualifications

• Degree in Computer Science or a related field from a top-tier university.
• Strong experience across AWS, GCP, and Azure.
• Proven knowledge of AI/ML technologies and their applications in cloud or infrastructure optimization.
• 6+ years of engineering experience with a track record of technical leadership.
• Solid foundation in backend systems, architecture, and infrastructure.
• Familiarity with agile methodologies and modern software development practices.
• Excellent communication and problem-solving skills.
• Prior experience at a FAANG or Tier 1 tech company is a strong plus.

Ideal Candidate Profile

• 6–10 years of experience
• Managed engineering teams of 15+ people in the past.
• Experience in a CTO or senior leadership role at a company with $30M+ ARR.
• Previously founded or exited a startup (a major plus).
• Strong backend and infra expertise; built products used by 1000+ customers (preferably in Series A+ startups).
• Deep knowledge of AWS, GCP, and Azure.
• Extremely data-driven with a product-oriented mindset and consumer product experience.

Benefits (U.S. Full-Time Employees)

• 100% medical coverage for you
• 401(k) plan
• Unlimited PTO
• Weekly team lunches & dinners in-office
• Yearly, company-paid team retreats
• Performance and developmental bonuses