Forward Deployed AI Strategist | Early Stage AI Native Startup | SF Onsite
Most “AI consulting” firms are still shipping demos, slide decks, and chatbot wrappers.
This team is building production-grade AI infrastructure inside real enterprise environments — solving the messy operational problems that standard automation tools break on.
Founded by former Meta and AWS engineers, they’re already working with $10M–$1B companies and scaling rapidly off real enterprise demand.
This is a rare opportunity to join an elite early-stage AI engineering firm before scale.
Why this role stands out:
- You own real enterprise transformations end-to-end. Not strategy theater. Not recommendations that disappear into a deck.
- You’ll work directly with CFOs, COOs, and operators to redesign workflows and deploy AI systems that actually run in production.
- Ground-floor seat with serious upside
- Small team, high trust, high ownership.
- Your thinking will directly shape how the company scales, hires, and builds.
- Work on problems that actually matter
Think:
- Autonomous finance operations
- Enterprise AI resolution engines
- Compliance-first copilots
- Forensic data pipelines handling messy unstructured enterprise data
- Exceptional technical pedigree
Founded by engineers from Meta + AWS with deep expertise in AI systems, infrastructure, and enterprise deployment.
What they’re looking for:
- Ideally 3–5 years in strategy consulting (MBB), biz ops, or Founder, early employee who sold into enterprise customers or owned a P&L
- Experience leading executive-level client engagements
- Strong first-principles problem solving
- AI-native mindset — someone who actively uses AI tools and has real opinions on where agents work (and where they don’t)
- Excited by ownership, ambiguity, and building in-person with a sharp team in San Francisco
Compensation
- Includes meaningful equity
- Sign on Bonus
- Relocation Bonus (If applicable)
This role is ideal for someone who’s tired of advising from the sidelines and wants to help build the future of enterprise AI adoption from inside the room where decisions get made.
