Onsite Engineering Manager — AI Cloud & Platform Leader

Pump

San Francisco (CA)

On-site

USD 180,000 - 250,000

Full time

31 hours ago
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Benefits offered by this job

Competitive compensation
Equity
Healthcare
Dental coverage
401(k) plan
Paid time off
Free lunch
Gym access
Annual retreats
Professional development

Job summary

Pump is seeking an Engineering Manager to lead and grow our engineering team, scaling an AI-powered cloud optimization platform. This onsite role blends technical ownership with people leadership, ensuring alignment with product and business goals.

You will mentor engineers, shape architecture and tooling, and deliver scalable systems across AI, infrastructure, and cloud services while collaborating with cross-functional partners in a fast-paced startup environment.

Qualifications

  • 7+ years of total engineering experience.
  • 5+ years in a managerial or technical leadership role.
  • CTO, Eng Lead, or similar role at a company with $5M–$30M+ ARR.
  • Strong backend and infrastructure expertise with AWS, GCP, or Azure.
  • Solid understanding of AI/ML applications in cloud or infrastructure optimization.
  • Degree in Computer Science or related field.

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.

Skills

Leadership
Backend infra
Cloud platforms
AI/ML in cloud
CS degree
People management
Architectural design

Education

Computer Science degree

Job description

Pump is seeking an Engineering Manager to lead and grow our engineering team, scaling an AI-powered cloud optimization platform. This onsite role blends technical ownership with people leadership, ensuring alignment with product and business goals.

You will mentor engineers, shape architecture and tooling, and deliver scalable systems across AI, infrastructure, and cloud services while collaborating with cross-functional partners in a fast-paced startup environment.

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