San Francisco, CA

Salary
$281,000–$365,700
Posted
Jul 20, 2026
Location
San Francisco, CA
Last confirmed open
Jul 22, 2026

What this job asks for AI summary

An engineering manager role leading a team of roughly 8–12 engineers focused on growing adoption and usage of Airtable's AI Field Agents and related AI tooling. Day-to-day work spans setting technical direction, running product experiments, partnering with Product, Design, Data Science, and go-to-market teams, and coaching engineers. Suits an experienced engineering leader with product sense and a background in AI, automation, or growth-oriented product development.

Senior level · San Francisco-Oakland-Berkeley, CA · Full-time

Pay in the description: $281,000–$365,700

Nice to have (3)
experimentation platformsgrowth/adoption funnelsAirtable

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

What gives you an edge
Airtable6%

Rare in this occupation — lead with these, and say what you built with them.

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 (7)

This is a people-management role leading a team of 8–12 engineers; the primary day-to-day work is managing, coaching, and setting technical direction — hence 11-3021. The alt SOC 15-1252 reflects that the JD also calls for hands-on technical guidance across full-stack and AI product work.

The title 'Engineering Manager' carries no explicit seniority level word, so the title states no level. The scope (single team of 8–12 engineers, one product area) maps to Senior on the management ladder.

No minimum total years of experience is stated anywhere in the posting.

The JD names no specific technologies or frameworks in its requirements — it describes capabilities (full-stack product development, AI/ML, experimentation) rather than named tools. The few concrete items (experimentation platforms, billing/credits systems) appear only under 'Nice to have.'

The compensation range ($281,000–$365,700/year) is explicitly scoped to San Francisco Bay Area, Seattle, New York City, and Los Angeles work locations.

The role requires in-office presence ~2–3 days/week in San Francisco; it is not fully remote.

Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI/ML product development, full-stack product development, billing/credits/metering systems.

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