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Pump.co

engineering opportunity

Engineering Manager

Engineering Manager role at Pump.co in San Francisco, California, US. Focus areas include AWS, GCP, Azure, Machine Learning, AWS, GCP. Work model: onsite. Mentor and develop engineers at all levels, fostering a high-performing, inclusive culture Help shape engineering culture, tooling, and practices as we grow Minimum Qualifications 7+ years of total engineering experience 5** + years** in a managerial or...

San Francisco, California, USonsiteFull-time

Posted

About the role

What will you do at Pump.co?

About the Role

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.

Key Responsibilities

  • 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 Minimum Qualifications 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 Ideal Candidate Profile 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 Benefits (U.S.
  • Full-Time Employees) 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

Which skills does this role require?

AWSGCPAzureMachine Learning

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