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Manager, Software Engineering
$195K–$343K
Los Angeles, California +4 · Manager · Full-time · Posted Sep 30, 2026
- Location
- Los Angeles, California
New York - 229 W 43rd St
Bellevue - 110 110th Ave NE
San Francisco - 1160 Battery St
Palo Alto - 395 Page Mill Rd - Experience
- 9+ years post-Bachelor’s; or Master’s + 8+ years post-grad; or PhD + 5+ years post-grad. Also requires 1+ years managing a team or acting as a technical lead.
- Education
- Bachelor's degree in a relevant technical field or equivalent years of practical work experience; alternatives include a technical-field Master’s or related-field PhD, with the stated experience.
About the job
Manages an engineering team that plans and delivers scalable services and technical initiatives, using AI tools and high-velocity workflows while maintaining quality, security, and correctness.
What you'll do
- Manage, mentor, hire, grow, and retain developers; set strategy, roadmap, and measurable goals.
- Lead delivery of technical initiatives and evaluate tradeoffs in major engineering decisions.
- Collaborate with Product, Operation, Data Science, Engineering, and executive stakeholders.
What they ask for
- Bachelor's degree in a relevant technical field or equivalent years of practical work experience.
- 9+ years of post-Bachelor’s software development experience; or a Master’s degree in a technical field + 8+ years of post-grad experience; or a PhD in a related technical field + 5+ years of post-grad experience.
- 1+ years managing a team or acting as a technical lead.
- Experience with distributed systems and web development.
Nice to have
- Familiarity with driving large-scale initiatives from ideation to completion.
- Experience with Ops-heavy systems/products.
Pay
$229,000-$343,000 annually (USD, base salary); $218,000-$326,000 annually (USD, base salary); $195,000-$292,000 annually (USD, base salary)
Tools
distributed systems, web development, AI tools
AI focus
Use AI tools to streamline development and help design and ship scalable services; audit generated output for architectural integrity, performance bottlenecks, and security risks.
Model-written summary · the original posting is authoritative