Engineering Manager

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$116,543 national median

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

84% above the BLS national median for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Engineering Manager San Francisco, CA 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

Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.