AI Forward Deployed Software Engineer
- Location
- San Francisco, New York City
- Workplace
- Hybrid
- Compensation
- $150k – $200k + equity
- Visa
- No Visa Sponsorship
About this role
AI Forward Deployed Software Engineer
Location: San Francisco (in-office) Experience: 2+ years Travel: 30–40% to partner sites
We are looking for an AI Forward Deployed Software Engineer with 2+ years of experience to join a pioneering team building a new category of technology transformation company. You'll work alongside leaders who helped found and build Palantir Commercial, deploying AI and frontier technology into real businesses to create step-change value.
This is a software engineering role first. You'll spend most of your time writing production code and shipping systems. What makes it different is where you do it: inside our partner companies, close to the operators and the data, owning the outcome rather than a ticket.
Who thrives here
Strong software engineers who want to be closer to the problem. You're confident building end to end, you can take messy operational data and turn it into a decision a business can act on, and you have real intuition for how frontline users actually do their work.
Engineering is the foundation. Data problem-solving and working directly with customers are what you build on top of it.
What you'll do
Build and deploy production software, AI systems, and operational tools that solve real business problems for partner companies
Work directly with the data inside a business and turn it into working systems that drive decisions: pipelines, models, and interfaces that operators actually use
Partner directly with executives, operators, and frontline users to understand how companies actually work and where technology can create the most impact
Turn ambiguous business problems into deployed technical systems, owning outcomes end to end from discovery through adoption
Co-author transformation roadmaps: deciding what should be built, what should be scaled, and what organizational changes are needed
Travel to partner sites (30–40%) to work shoulder to shoulder with management teams and users
What we're looking for
2+ years of post-college experience as a software engineer, with a strong CS or software engineering background
Proficiency in Python, TypeScript, or similar languages, and a track record of writing high-quality, production code that other engineers depend on
Ability to reason from data to decisions: you're comfortable exploring an unfamiliar dataset, forming a hypothesis, and translating what you find into something a business can act on
AI-native working style: you use AI tools daily to write code, analyze data, and automate workflows
Strong user empathy and the ability to earn trust with both technical and non-technical stakeholders
Comfort creating structure in ambiguous environments with no roadmap or clean product spec
Based in San Francisco or willing to relocate
Is this the right fit?
This role is a great match if you're a software engineer who wants your work to land in the real world and change how a business runs. It's likely not the right fit if your background is primarily in data science or ML research rather than building and shipping software, or if you're looking for a solutions architect or pre-sales role. This is a builder's seat.
Location
This role is based in San Francisco. We're growing our SF office and you'll work in person alongside the team.
What happens next
Skip the application pile. I get you in front of the people who decide.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
When the company wants to meet, I get the call on your calendar. You just show up.
Culture & values
High-growth environment
Work with talented people
Company has defined values that candidates should resonate with
Transparent decision-making processes documented for engineering function
Know someone who'd be great for this?


