Tech Lead

Clera

$220K — $250K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of software engineering experience, primarily as a Staff Engineer or Tech Lead.
  • Demonstrated leadership in managing teams, mentoring staff, and driving engineering strategy.
  • Strong expertise in software architecture and cloud platforms, preferably Microsoft Azure.
  • Hands-on knowledge of LLMs and conversational AI systems is essential.
  • Experience in designing and implementing AI/ML systems at scale in SaaS or startup settings.
  • Proven ability to deliver projects under pressure in fast-paced environments.
  • Excellent skills in project management, prioritizing, and a strong business sense.
  • Strong communication skills to explain technical concepts to non-technical stakeholders.

Responsibilities

  • Manage day-to-day operations of the engineering team, eliminating obstacles to maintain delivery pace.
  • Own and guide architectural decisions and system design considerations.
  • Lead task prioritization and manage delivery trade-offs effectively.
  • Review code and RFCs to ensure high quality and adherence to engineering standards.
  • Establish and uphold engineering best practices, processes, and tools.
  • Act as a technical adviser to the CEO, CTO, and other senior leaders.
  • Contribute to the codebase significantly, dedicating 20-30% of time to hands-on coding.
  • Enhance the engineering organization's productivity and maturity overall.

Benefits

  • Competitive early-stage equity package.
  • Chance to influence the technical direction and culture of a growing AI company.
  • Work in a dynamic startup environment with a talented, focused team.
Full Job Description
About the Role

A fast-growing, Y Combinator-backed startup building AI-powered voice and text agents for the home improvement industry is looking for a Tech Lead to scale engineering impact and organizational maturity. You'll work hand-in-hand with the CTO and senior leadership to set technical direction, drive architectural decisions, and keep a talented team shipping high-quality software at pace.

This is an on-site role based in San Francisco, CA. The company is at the seed stage with strong investor backing and a lean, highly capable team. No visa sponsorship is available - candidates must have existing authorization to work in the United States.
What You'll Do
  • Manage the engineering team day-to-day, removing blockers and keeping delivery on track.
  • Own architectural decisions and guide the team on system design tradeoffs.
  • Have final say on task prioritization and delivery tradeoffs.
  • Review code and RFCs to maintain quality, consistency, and engineering standards.
  • Establish and enforce engineering best practices, processes, and tooling.
  • Act as a technical liaison and thought partner to the CEO, CTO, Director of Sales, and Head of Customer Success.
  • Contribute actively to the codebase (~20-30% of your time).
  • Raise the overall productivity and maturity of the engineering organization.
What We're Looking For

Required
  • 6+ years of professional software engineering experience, with most recent roles as a Staff Engineer or Tech Lead.
  • Proven leadership: you've managed engineering teams, mentored engineers, and driven engineering strategy.
  • Strong background in software architecture, cloud platforms (ideally Microsoft Azure), and full-stack development.
  • Hands-on experience with LLMs and conversational AI systems - this is a hard requirement.
  • Experience designing and leading AI/ML systems at scale in cloud-based SaaS or startup environments.
  • Track record of shipping under pressure in fast-growing startups or scale-ups.
  • Excellent project management and prioritization skills with strong business acumen.
  • Strong cross-functional communication - you can advocate technical decisions clearly to non-technical stakeholders.
  • Ability and willingness to work on-site in San Francisco, CA.

Nice to Have
  • Prior leadership experience in conversational AI or voice technology specifically.
  • Experience with NLP pipelines and production deployment of ML/LLM models.
  • Familiarity with telephony, call center automation, or home services industry workflows.
Compensation & Benefits
  • Salary: $220,000 - $250,000 USD per year
  • Competitive early-stage equity package
  • Opportunity to shape the technical foundation and culture of a high-growth AI company
Location
  • On-site - San Francisco, CA
  • Remote work is not available for this role
  • No visa sponsorship available; candidates must have the right to work in the United States

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