Engineering Manager

AI Talent Now


Job Location:

San Francisco, CA - USA

Monthly Salary: $ 300 - 400
Experience Required: 5years
Posted on: 3 days ago
Vacancies: 1 Vacancy

Job Summary

  • This dynamic client is helping push the frontier of LLMs and AI Agents through novel datasets and experimentation. We work on building the most complex infrastructure that powers frontier data creation for agentic and hard reasoning workflows. We work with all 5 of the leading AI labs and are becoming the go-to partner for data infrastructure for YC companies. We have a sharp hockey stick growth rate and are extremely talent-dense with most of our founding team coming from top IB and quant firms.

  • This company builds the data and evaluation systems powering every frontier AI lab. They scaled from 0 to $100M ARR in 14 months and recently raised a $30M Series A at a $300M valuation.

  • YC-backed with a founding team from top IB and quant firms. Theyre the go-to data infrastructure partner for leading AI labs and growing on a sharp hockey stick trajectory.

  • As Engineering Manager youll own a team of 5-10 engineers with a 50/50 split between building core infra and leading people. This is an ownership role youll ship critical systems while mentoring the next generation of engineers.

  • Role Details: Engineering Manager

    • Responsibilities: 50% coding 50% team management
    • Reports to: Works alongside and managing junior engineers

    Candidate Requirements: Engineering Manager

    • Experience: Senior or staff-level willing to manage
    • Skills: Must code and manage experience in infra or platform engineering

    Compensation and Logistics: Engineering Manager

    • Salary: $300000 to $400000 base
    • Equity: Significant equity offered

    Role Details: Security Engineer

    • Responsibilities: Security engineering infrastructure work
    • Need: To enhance security and prevent breaches

    Candidate Requirements: Security Engineer

    • Experience: 4-7 years senior level preferred
    • Skills: Security and infrastructure expertise

    Compensation and Logistics: Security Engineer

    • Salary: $200000 to $350000
    • Equity: $250000 to $500000

    Company Context and Culture

    • Series A startup fast-paced environment
    • Onsite work in San Francisco required

    Ideal Candidate Profile

    • Traits: Fast learner adaptable startup-minded
    • Background: Experience in high-growth environments




    Requirements

    Ideal candidate:

    6 - 10 years of experience building and maintaining platform infrastructure but still with full-stack capabilities.


    Work experience

    Experience at VC-backed startup as founding engineer at company that raised $2.5M or from company that specializes in managing data at scale (e.g. Snowflake Databricks Confluent).


    Has been hands-on coding within the last 2 years.


    Experience managing a team of ICs and conducting code reviews (PRs).


    Education

    CS degree from top-30 school (US/CA/EUR only)


    Hard skills

    Fullstack capability: Kubernetes


    Kafka Redis Elasticsearch


    Soft skills

    Excited about managing a team of ICs and conducting code and performance reviews


    Miscellaneous

    Willing to be in office in SF 5 days a week.

    Seeking an Engineering Manager with 5 years of experience to lead a team of 510 engineers while staying deeply hands-on in the code. This is a 50/50 split between IC work and people management youll build core infrastructure horizontally across the company while owning performance reviews mentorship and hiring decisions for your direct reports. The ideal candidate is a senior or staff-level engineer who wants to step into management without leaving the codebase behind. Youll work directly alongside the CTO to offload engineering leadership and drive execution across critical systems.


    Required Skills:

    Python Agentic AI LLM AWS GCP


    Required Education:

    BS in engineering (EE preferred any engineering accepted

    This dynamic client is helping push the frontier of LLMs and AI Agents through novel datasets and experimentation. We work on building the most complex infrastructure that powers frontier data creation for agentic and hard reasoning workflows. We work with all 5 of the leading AI labs and are becomi...