Tech Lead

Clera

$130K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6-10+ years in software/ML engineering with some leadership experience
  • Proven track record in designing and scaling AI/ML systems in a SaaS or startup environment
  • Hands-on experience with conversational AI, voice tech, and NLP/LLM applications
  • Strong skills in deploying ML models on cloud platforms (AWS, GCP, Azure)
  • Demonstrated ability to mentor engineers and build engineering culture
  • Excellent communication skills for interacting with technical and non-technical audiences
  • Authorized to work in the U.S. without requiring visa sponsorship

Responsibilities

  • Design, build, and lead AI/ML systems for voice and text conversational agents
  • Define and implement engineering strategy for delivery and scalability
  • Mentor and develop engineering teams, promoting ownership and quality
  • Collaborate across product, research, and marketing to align tech with business
  • Communicate technical decisions effectively to non-technical stakeholders
  • Ensure deployment and reliability of ML models within a SaaS framework
  • Stay updated on LLMs, NLP, and voice AI innovations for product enhancement

Benefits

  • Competitive compensation with equity options
  • Opportunity to influence engineering direction and potentially advance on a CTO track
  • Work in a dynamic, Y Combinator-backed startup environment
  • Hands-on tech leadership role
  • Flexibility in a hybrid in-person work environment in San Francisco
Full Job Description
About the Role

We're a Y Combinator-backed startup building AI-powered voice and messaging agents for enterprise call centers - automating customer service, lead qualification, and appointment scheduling at scale. Founded in 2023 and operating in a fast-moving space alongside players like Parloa, Vapi, Retell AI, and Cognigy, we're a small, high-velocity team looking for a Tech Lead to help shape our engineering foundation and take us through our next phase of growth.

This is a hands-on leadership role - you'll be writing code, making architectural decisions, and directly mentoring engineers. If you're excited about conversational AI, love building real products that ship to production, and want a clear path toward CTO-track influence, this could be a great fit.
What You'll Do
  • Design, build, and lead AI/ML systems powering voice and text-based conversational agents in production
  • Define and drive the engineering strategy, balancing short-term delivery with long-term scalability
  • Mentor and grow a team of engineers, fostering a culture of ownership, quality, and continuous improvement
  • Collaborate cross-functionally with product, research, and go-to-market teams to translate business goals into technical roadmaps
  • Advocate for and communicate technical decisions clearly to non-technical stakeholders
  • Own deployment and reliability of ML models and cloud infrastructure in a SaaS environment
  • Stay current with the latest developments in LLMs, NLP, and voice AI - and bring the best ideas into the product
What We're Looking For

Required:
  • 6-10+ years of software/ML engineering experience, with a meaningful portion in leadership or staff-level roles
  • Proven experience designing and scaling AI/ML systems, ideally at a cloud-based SaaS company or high-growth startup
  • Hands-on expertise with conversational AI, voice technology, and/or NLP/LLM applications
  • Strong command of cloud platforms (AWS, GCP, or Azure) and deploying ML models to production
  • Demonstrated people management and mentorship skills - you've led engineers and driven engineering culture
  • Excellent communication skills; comfortable bridging technical and non-technical audiences
  • Must have the right to work in the United States - no visa sponsorship is available

Nice to Have:
  • Experience in call center, customer service automation, or enterprise voice platforms
  • Background at an AI-focused startup or conversational AI platform
  • Familiarity with real-time audio/speech pipelines or telephony integrations
  • Prior experience scaling an engineering team from early-stage through Series A/B
Compensation & Benefits

Compensation details will be discussed during the interview process and will be competitive with early-stage AI startup benchmarks, including equity commensurate with the Tech Lead seniority level.
Location

This role is based in San Francisco, CA. We are an in-person / hybrid team - candidates who prefer fully remote arrangements are not a strong fit at this stage. Relocation is welcome; visa sponsorship is not available.

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