5-7 years of engineering experience with technical leadership.
Degree in Computer Science or related field from a top-tier university.
Strong expertise in AWS, GCP, and Azure.
Proven knowledge of AI/ML technologies for cloud optimization.
Solid background in backend systems and infrastructure.
Familiarity with agile methodologies and software development practices.
Responsibilities
Lead engineering team growth from 5 to 10+ engineers.
Maintain hands-on involvement in coding and system architecture.
Drive development of AI-powered platform focusing on scalability and performance.
Collaborate with cross-functional teams to align on goals.
Mentor engineers to create an inclusive, high-performing culture.
Stay updated on AI, cloud, and infrastructure trends.
Benefits
100% medical coverage for employees.
401(k) plan.
Company-sponsored yearly retreats.
Performance and development bonuses.
Full Job Description
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