Tech Lead at Clera
San Francisco, CA
$220,000–$250,000from the description
Jul 18, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A technical leadership role at a small, early-stage startup building AI-powered voice and messaging products for the home services sector. The position combines hands-on coding (roughly a fifth to a third of the time) with day-to-day engineering management — setting priorities, reviewing code, guiding architecture across the full stack and cloud infrastructure, and establishing engineering processes as the team grows. It suits an experienced engineer-manager with a background in conversational AI or voice technology.
Senior level · 6+ years · San Francisco-Oakland-Berkeley, CA · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 760 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (computer and information systems managers). range 570–990
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
What the occupation pays Median $238,011 (middle half $208,323–$320,108). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (5)
This role is a genuine hybrid between people management (day-to-day team management, mentoring, prioritization, liaison to CEO/CTO/Sales/CS) and hands-on IC work (~20–30% coding, code review, RFCs). 11-3021 was chosen as primary because managing the engineering team is the dominant framing, but 15-1252 is a real runner-up given the explicit coding contribution requirement.
The title 'Tech Lead' carries no standard seniority level word, so the title states no level. The actual scope (leading a team at a ~10-person seed-stage startup, partnering with CTO, final say on prioritization) maps to Senior on the management ladder — not Staff or Principal, which would imply multi-team or org-wide authority beyond what is described here.
Azure is listed as the preferred cloud platform; AWS and GCP are explicitly named as 'also relevant' — captured as alternatives on the same requirement.
Hands-on LLMs and conversational AI / voice technology experience is explicitly called out as a 'hard requirement' in the posting.
ML/NLP model deployment in production is listed under 'Nice to Have' and is marked accordingly.
Read the full posting
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