Cerebras
Applied AI Platform Lead - Founding Team
Cerebras, San Francisco, California, United States, 94199
About Fulcrum
Fulcrum is re-wiring the insurance-brokerage industry with AI agents that let brokerages grow revenue without adding headcount. Our platform already saves customers thousands of hours and millions of dollars every year.
Why Fulcrum
Rocket-ship growth.
We’ve grown 5× in the last six months—and accelerating.
Extreme ownership.
You’ll work directly with enterprise users and ship end-to-end products that save them hours every week.
Bleeding-edge problems, real impact.
Tackle tough AI and product challenges whose wins show up immediately in customer workflows.
In-person collaboration.
Join a lean, staff-level team (ex-Affirm, Uber, DoorDash, McKinsey) working side-by-side in San Francisco; we believe the best ideas are fostered in an in-person environment.
Top-of-market rewards.
Competitive base salary plus meaningful founding-team equity.
Why join as the Applied AI Platform Lead?
Own the core engine.
Architect the data & ML platform that every Fulcrum workflow runs on—batch + real-time extraction, orchestration and evaluation for multi-hundred-page insurance documents.
Cutting-edge stack.
Closed- and open-source LLMs, retrieval pipelines, braintrust for LLM observability, and the latest NLP parsing libs.
Ship real impact.
Your models and infra directly unlock six- and seven-figure contracts within days, not quarters.
Hyper-growth, tiny team.
Enjoy massive autonomy and zero bureaucracy while we scale from
Founding-team equity.
Help define culture, process and technical direction from scratch.
Experiment with Bleeding Edge AI.
Experiment with cutting edge Applied AI to solve real enterprise problems.
What you’ll do
Design & build a unified data platform
that ingests, indexes and serves insurance documents at scale (100 MB+ PDFs, multi-pass extraction, lineage tracking).
Develop LLM orchestration & reliability tooling : self-eval pipelines, automated regression tests, prompt/version rollout, latency & cost dashboards.
Invent novel extraction methods
(tool-calling, chain-of-thought, retrieval-augmented reasoning) to boost accuracy on messy, heterogeneous documents.
Mentor & unblock ML / solutions engineers , reviewing designs, pairing on thorny bugs, and leveling up LLM best practices.
Triage production issues
and drive root-cause analyses for extraction failures—owning SLAs that keep brokers productive.
Partner with product & domain experts
to scope new modules (e.g., claim triage, endorsement comparison) and translate insurance edge-cases into robust data models.
Collaborate with founders
on technical strategy, hiring, and the long-term roadmap for Fulcrum’s data foundation.
About you
4–6 yrs building ML or data platforms
in production (senior / staff-level IC).
Deep understanding of
LLM pipelines : fine-tuning, RAG, evaluation, prompt management, cost/latency trade-offs.
Proven track record of
owning end-to-end systems —from architecture through deployment & monitoring.
Strong software-engineering fundamentals (Python/TypeScript, cloud infra, modern data tooling).
Pragmatic mindset: bias to ship, measure, iterate.
Bonus: direct finetuning experience, prior work on document intelligence, or mentoring junior engineers.
No formal management experience required —lead with technical excellence first.
What we offer
Competitive salary ($175k – $250k)
plus significant equity.
Full health, dental & vision.
High-trust, high-ownership culture: you set the bar.
Regular team off-sites, dinners, and an office stocked for builders.
Ready to build the data brain of the next era of insurance?
We’d love to meet you.
Ready to apply? Powered by First name * Last name * Email * LinkedIn URL * Resume * Click to upload or drag and drop here Req ID: R16 #J-18808-Ljbffr
Why Fulcrum
Rocket-ship growth.
We’ve grown 5× in the last six months—and accelerating.
Extreme ownership.
You’ll work directly with enterprise users and ship end-to-end products that save them hours every week.
Bleeding-edge problems, real impact.
Tackle tough AI and product challenges whose wins show up immediately in customer workflows.
In-person collaboration.
Join a lean, staff-level team (ex-Affirm, Uber, DoorDash, McKinsey) working side-by-side in San Francisco; we believe the best ideas are fostered in an in-person environment.
Top-of-market rewards.
Competitive base salary plus meaningful founding-team equity.
Why join as the Applied AI Platform Lead?
Own the core engine.
Architect the data & ML platform that every Fulcrum workflow runs on—batch + real-time extraction, orchestration and evaluation for multi-hundred-page insurance documents.
Cutting-edge stack.
Closed- and open-source LLMs, retrieval pipelines, braintrust for LLM observability, and the latest NLP parsing libs.
Ship real impact.
Your models and infra directly unlock six- and seven-figure contracts within days, not quarters.
Hyper-growth, tiny team.
Enjoy massive autonomy and zero bureaucracy while we scale from
Founding-team equity.
Help define culture, process and technical direction from scratch.
Experiment with Bleeding Edge AI.
Experiment with cutting edge Applied AI to solve real enterprise problems.
What you’ll do
Design & build a unified data platform
that ingests, indexes and serves insurance documents at scale (100 MB+ PDFs, multi-pass extraction, lineage tracking).
Develop LLM orchestration & reliability tooling : self-eval pipelines, automated regression tests, prompt/version rollout, latency & cost dashboards.
Invent novel extraction methods
(tool-calling, chain-of-thought, retrieval-augmented reasoning) to boost accuracy on messy, heterogeneous documents.
Mentor & unblock ML / solutions engineers , reviewing designs, pairing on thorny bugs, and leveling up LLM best practices.
Triage production issues
and drive root-cause analyses for extraction failures—owning SLAs that keep brokers productive.
Partner with product & domain experts
to scope new modules (e.g., claim triage, endorsement comparison) and translate insurance edge-cases into robust data models.
Collaborate with founders
on technical strategy, hiring, and the long-term roadmap for Fulcrum’s data foundation.
About you
4–6 yrs building ML or data platforms
in production (senior / staff-level IC).
Deep understanding of
LLM pipelines : fine-tuning, RAG, evaluation, prompt management, cost/latency trade-offs.
Proven track record of
owning end-to-end systems —from architecture through deployment & monitoring.
Strong software-engineering fundamentals (Python/TypeScript, cloud infra, modern data tooling).
Pragmatic mindset: bias to ship, measure, iterate.
Bonus: direct finetuning experience, prior work on document intelligence, or mentoring junior engineers.
No formal management experience required —lead with technical excellence first.
What we offer
Competitive salary ($175k – $250k)
plus significant equity.
Full health, dental & vision.
High-trust, high-ownership culture: you set the bar.
Regular team off-sites, dinners, and an office stocked for builders.
Ready to build the data brain of the next era of insurance?
We’d love to meet you.
Ready to apply? Powered by First name * Last name * Email * LinkedIn URL * Resume * Click to upload or drag and drop here Req ID: R16 #J-18808-Ljbffr