Forward Deployed Operations role embedding with operators to run daily workflows while identifying and shipping automations that remove friction. Requires 2-4 years experience, SQL + Python/TypeScript, and hands-on AI tooling experience.
125k – 175k
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About the role
Responsibilities
Embed with operators across sales, service, underwriting, and carrier relations to learn the operation end-to-end
Identify the 20% of friction causing 80% of operational drag and ship automations to remove it
Run daily operations: underwriter follow-ups, carrier communications, customer calls, and keeping deals moving through the pipeline
Build and ship AI agents, internal tools, and workflow automations — prototype in days, ship in weeks
Write SQL, pull data, and build dashboards to prove shipped work moved business metrics
Translate operational pain into product requirements that engineering builds next
Context-switch across functions based on what is most urgent that week
Requirements
2–4 years in a high-pace environment (startup, operations, consulting, or engineering)
Track record of building and shipping internal tools, automations, or workflows that ran in production
Comfortable in SQL and at least one of Python or TypeScript
Hands-on experience with AI coding tools (Cursor, Claude Code, or equivalent)
Strong written and verbal communication with both technical and non-technical audiences
Based in San Francisco or willing to relocate immediately
Nice-to-Haves
Experience with LLMs, AI agents, or voice AI
Background in insurance, fintech, or another regulated, high-stakes industry
Prior startup or founder experience
Solutions engineering, operations, or customer success experience
Compensation & Benefits
Salary: $125,000–$170,000 depending on experience + performance bonuses & equity
On-site in San Francisco, Monday–Friday with very early morning start, five days a week in-office
Uber commuter benefits; breakfast, lunch, and dinner provided; snacks, drinks, and coffee daily; free gym membership; health, dental, and vision insurance
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