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Founding Member of Technical Staff

San Francisco,...
L

Locke

Startup
Category
Technical
Experience
0-3 years
Type
Full-Time
Location
San Francisco, CA, US
Salary
$100,000 - $200,000
Job Description
Benefits & Culture
Competitive salary
Meaningful equity
Competitive benefits
Generous PTO
Core Values
Mission-first
Talent-dense
Accuracy is everything
High agency
This goes straight to the founder
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No recruiters. Founders reply directly.

Founder Signals
Response Rate
85%
Avg Response Time
2 hours
Compensation Calculator
In startups, higher salary usually means lower equity.
Salary (affects equity %)
Link salary ↔ equity
$125,000
$100,000$200,000
Equity % (auto from trade-off model)
1.02%
0%5%
Projected Exit Value
$350,000,000
$10M$500M
Live Trade-off
Salary
Equity %
Est. Equity Value at Exit
$100,000
1.19%
$2,082,500
$125,000
1.02%
$1,785,000
$150,000
0.85%
$1,487,500
$175,000
0.68%
$1,190,000

Advanced Salary & Equity Calculator

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About the role

We're hiring our founding Members of Technical Staff - the engineers who build the AI agents at the heart of everything we do. You'll sit close to founders, government officials, and to the people who depend on your work every day, and you'll have real ownership from day one.

What we're building

Government runs on an enormous, constantly-changing pile of unstructured data - bills, rules, dockets, agency filings, and comment periods spread across Congress, federal agencies, and 50 states. We're building agents that read all of it and turns it into action for our clients. Specifically, that means:

  1. Agents that ingest legislation and regulations, reason over them, and produce real work product - memos, alerts, strategy, and proposals - reliably enough that our team stakes client relationships on it
  2. Retrieval and data pipelines that keep those agents fed with accurate, up-to-date information from messy, inconsistent government sources
  3. Eval frameworks that measure whether an agent's output is actually correct and useful
  4. The product surfaces our team works in all day - drafting tools, monitoring dashboards, and alerting
  5. Over time, the shared intelligence layer that sits underneath the entire firm

What You'll Do

  1. Build and own the AI agents our team relies on = end to end, from prototype to production
  2. Treat our policy staff as your users: ship the tools they depend on, and make them faster and sharper
  3. Build the retrieval and data pipelines that feed our agents accurate legislative and regulatory information
  4. Design eval frameworks to measure and steadily improve the quality of what our agents produce
  5. Work closely with our non-technical team - tight collaboration between our technical and non-technical people is how the agents get good
  6. Help build the technical playbook as we grow!

What We're Looking For

  1. Solid engineering experience: full-stack product work, applied AI/ML, or a closely related field
  2. You've built and shipped real LLM-powered products and agents
  3. You're comfortable with the modern AI stack — building agent workflows, wiring up retrieval, and writing evals to keep quality honest
  4. High agency and comfort with ambiguity — you figure things out and drive them to completion
  5. Tokenmaxxer: if you are not a power user of Claude Code / Codex / Cursor, this is not for you.
  6. Bonus: genuine curiosity about government, policy, or regulated industries. You don't need a Hill background, but you should be excited to learn the domain

Logistics

  1. In-person 5–6 days a week in SF, with occasional travel
  2. Meaningful founding-level equity, plus competitive salary, benefits, and PTO. Compensation will grow rapidly with performance
  3. Fun: we like traveling, grabbing food, and frolicking around SF / DC together