Why This Role Stands Out
This role offers a unique opportunity to directly impact product development at a fast-growing AI/ML startup, owning the full customer deployment lifecycle and shaping the future of the technology. You'll thrive here if you're a proactive engineer with strong technical skills and a passion for direct customer engagement and problem-solving. Embrace this chance to gain invaluable experience and contribute significantly to an innovative company.
Quick Overview
Job Description
About the Role
This is a forward-deployed engineering role at an early-stage AI/ML startup, sitting at the intersection of customer success and core product development. You will own the full lifecycle of new customer deployments, from initial integration through first detection to first merged PR, and feed everything you learn back into the product. You report directly to the founding leadership on a small, high-impact team.
What You'll Do
Own new customer deployments end to end: drive integration, surface first traces, catch first failures, and land first PRs in their codebases.
Embed in customer Slack channels and become the resident expert on their agent architecture and failure modes.
Write detection logic and evals tailored to each customer's specific problems, then generalize recurring patterns across the customer base.
Open PRs against unfamiliar codebases and defend them in code review with engineers who did not ask for your help.
Represent the company solo in critical conversations including security reviews, deployment architecture decisions, and trust-building discussions.
Continuously feed learnings back into the product so that manual work shrinks every quarter.
What We're Looking For
3 or more years shipping production software, with demonstrated success working directly with customers in a forward-deployed, solutions engineering, consulting, or founding capacity.
Strong TypeScript proficiency and comfort reading, patching, and opening PRs against unfamiliar codebases constantly.
Real, hands-on experience building and running AI agents in production, with genuine opinions about why they fail.
Experience writing detection logic, evals, and observability or monitoring code for production systems.
Demonstrated ability to walk into an unfamiliar company, understand what matters, and identify critical issues within days.
Comfortable with ambiguity and fast execution: you compress the time between "something is broken" and "it's fixed."
Experience with security reviews and deployment architecture discussions is a strong plus.
Prior experience running agents in production yourself, with production incidents to learn from, is a bonus.
Compensation & Benefits
Salary range: $150,000 to $200,000 USD annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, six days per week, with travel to customer sites.
Similar jobs
- AS
Software Developer - API modernization
NewApex Systems
Maryland Heights, MO🇺🇸On-site23 hours agoMicroservicesSpringSpring Boot+3Technology - LT
Senior Java with AI Experience
NewLorven Technologies, Inc.
Chicago, IL🇺🇸Hybrid23 hours agoDynamoDBMicroservicesSpring+12 - ES
Software Developer (.NET with Oracle) STATE exp in Austin, TX (HYBRID) only Austin
NewEsolvit, Inc.
Austin, TX🇺🇸Hybrid23 hours agoOracleScrumAgile+4Technology - SP
Software Engineer
NewSparibis, LLC
United States🇺🇸Remote23 hours agoDockerScrumAgile+13Technology - KT
Mainframe Programmer
NewKayDev Technology, LLC
Albany, NY🇺🇸Hybrid23 hours agoTechnology - AS
Software Engineer - Sharepoint/0365 III
NewApex Systems
OH🇺🇸Remote23 hours agoAzurePowerShellTechnology