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Engineering Lead / Engineering Manager

syndesus, inc. San Francisco Bay Area
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AI Summary

Lead a small, high-performing engineering team in a fast-growing AI startup, owning day-to-day execution, roadmaps, and architectural decisions. Remain hands-on with production code 20-30% of the time while guiding senior engineers and partnering with leadership. Requires 4-12 years of experience, strong Python backend skills, and formal management of 4+ engineers.

Key Highlights
Formally lead 4+ engineers while remaining 20-30% hands-on with code
5 days/week on-site in San Francisco
Compensation of $240K-$260K base plus equity
Key Responsibilities
Lead the day-to-day execution of a small, high-performing engineering team
Own engineering priorities, roadmaps, 1:1s, and project delivery
Guide architectural decisions and maintain a high bar for code quality, performance, and system design
Introduce processes and engineering practices that help the team ship quickly without sacrificing quality
Partner directly with senior leadership and customer-facing teams on technical and business priorities
Remain hands-on, contributing production code roughly 20-30% of your time
Technical Skills Required
Python Cloud Technologies LLMs
Benefits & Perks
$240K-$260K base salary
Equity
Visa transfers
Nice to Have
Several years as a Senior/Staff Engineer at a leading technology company or high-growth scale-up
More recent experience as an Engineering Manager or Tech Lead at an early-stage startup
Experience with LLMs, conversational AI, AI agents, or other production AI systems
Founder, early-stage startup, or management consulting experience
Strong business acumen and an understanding of how engineering decisions affect customers and revenue

Job Description


Engineering Lead / Engineering Manager (San Francisco)


***On-site in San Francisco, If not, must willing to relocate. Open to visa transfers.


A fast-growing early-stage AI startup is looking for a Tech Lead with 4–12 years of experience to own day-to-day engineering execution. You'll formally lead 4+ engineers while remaining 20–30% hands-on with code. The ideal candidate spent several years as a senior engineer at a leading tech company or scale-up, followed by an EM or Tech Lead role at a fast-moving startup. This is 5 days/week on-site in San Francisco.


Comp: $240K–$260K base + equity

Stack: Python, LLMs, Cloud Technologies, Full-Stack Development


🛠️ You will:

  • Lead the day-to-day execution of a small, high-performing engineering team.
  • Own engineering priorities, roadmaps, 1:1s, and project delivery.
  • Guide architectural decisions and maintain a high bar for code quality, performance, and system design.
  • Introduce processes and engineering practices that help the team ship quickly without sacrificing quality.
  • Partner directly with senior leadership and customer-facing teams on technical and business priorities.
  • Remain hands-on, contributing production code roughly 20–30% of your time.


🧩 100% Required:

  • 4–12 years of software engineering experience with a strong hands-on IC foundation.
  • Experience formally managing 4+ software engineers.
  • Strong backend engineering experience with Python and cloud technologies.
  • Ability to evaluate architecture, code quality, performance, scalability, and technical tradeoffs.
  • Comfortable balancing people leadership with meaningful hands-on engineering work.
  • Highly structured, proactive, and strong at prioritizing competing projects in a demanding startup environment.
  • Strong communication skills and the confidence to work directly with senior company leadership.
  • Willing to work 5 days/week on-site in San Francisco.


🪶 Other Skills:

  • Several years as a Senior/Staff Engineer at a leading technology company or high-growth scale-up.
  • More recent experience as an Engineering Manager or Tech Lead at an early-stage startup.
  • Experience with LLMs, conversational AI, AI agents, or other production AI systems.
  • Founder, early-stage startup, or management consulting experience.
  • Strong business acumen and an understanding of how engineering decisions affect customers and revenue.


🧬 How The Company Works

  • High-growth – ARR doubled in the first half of the year, with another 2x growth target for the second half.
  • Early-stage – join a small, funded team where engineering leadership has an immediate impact.
  • High ownership – take responsibility for engineering execution rather than simply managing individual projects.
  • Hands-on leadership – technical leaders are expected to stay close to the architecture and codebase.
  • Fast-moving – priorities evolve quickly and engineers are expected to take initiative rather than wait for direction.
  • High standards – the environment rewards strong execution, clear communication, and people who make the engineers around them better.
  • AI-native – building production AI systems that automate real-world customer interactions.

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