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Product Lead

San Francisco,...
T

Trellis AI

Startup
Category
Product
Experience
4-7 years
Type
Full-Time
Location
San Francisco, CA, US
Salary
$150,000 - $250,000
Job Description
Benefits & Culture
Flexible hours
Remote work
Paid time off
Fast-paced environment
Direct feedback
Growth opportunities
This goes straight to the founder
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No recruiters. Founders reply directly.

Founder Signals
Response Rate
85%
Avg Response Time
2 hours
Compensation Calculator
In startups, higher salary usually means lower equity.
Salary (affects equity %)
Link salary ↔ equity
$125,000
$150,000$250,000
Equity % (auto from trade-off model)
1.19%
0%5%
Projected Exit Value
$350,000,000
$10M$500M
Live Trade-off
Salary
Equity %
Est. Equity Value at Exit
$100,000
1.19%
$2,082,500
$125,000
1.19%
$2,082,500
$150,000
1.19%
$2,082,500
$175,000
1.02%
$1,785,000

Advanced Salary & Equity Calculator

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About Trellis

Trellis builds and deploys AI agents that help patients access life-saving therapies. Our platform automates the complex administrative workflows that stand between patients and treatment, including document intake, prior authorizations, appeals, reimbursement research, and coverage determination. Today, our self-improving AI agents process billions of dollars in therapies annually and support patients across all 50 states. Founded out of the Stanford AI Lab, Trellis combines cutting-edge AI with deep healthcare expertise to solve one of the largest operational challenges in healthcare: getting patients the care they need, faster. We work with leading healthcare organizations to streamline operations, reduce administrative burden, and accelerate access to treatment at scale. We’re backed by leading investors including General Catalyst, YC, Telesoft Partners, and executives from Google and Salesforce. Over the past year, we’ve experienced exceptional growth, scaling revenue rapidly while expanding our footprint across specialty healthcare markets. Joining Trellis means working at the intersection of AI, healthcare, and company-building. You’ll partner directly with the founders, help shape the next phase of growth, and see the real-world impact of your work in the number of patients who receive critical treatment because of the systems we build.

What You'll Do

Own Product Strategy and Execution

As Product Lead, you'll drive product development from concept through launch and iteration. You'll work directly with customers, engineers, and leadership to identify opportunities, validate solutions, and bring new products to market. You'll own major product initiatives end-to-end, leading 0→1 product development while ensuring existing products continue to evolve alongside customer needs and advances in AI capabilities. You'll work closely with the CEO and leadership team to shape company strategy, product direction, and go-to-market priorities.

Work Directly With Customers and C-Suite

You will spend significant time with customers across healthcare organizations, including executives, operations teams, and technical stakeholders. You'll:

  1. Understand customer workflows, requirements, and operational challenges
  2. Identify bottlenecks and opportunities for automation
  3. Run discovery sessions and gather product feedback
  4. Design and present product demos
  5. Partner with customers during implementation and rollout
  6. Act as a trusted advisor on AI adoption and workflow transformation
  7. Build deep relationships that influence both product direction and company strategy

What You Bring

  1. 5+ years building and shipping technical products
  2. Previous experience as a Product Manager, Product Lead, Founder, FDE or equivalent role
  3. Strong product intuition with a track record of turning ambiguous problems into successful products
  4. Excellent communication skills across technical and non-technical audiences
  5. Ability to influence executive stakeholders and build alignment across teams
  6. Experience working directly with customers and translating customer needs into product strategy
  7. Comfort operating in fast-moving, highly ambiguous startup environments
  8. Strong understanding of AI technologies and their practical applications
  9. Bachelor's degree in a technical, business, or related field (or equivalent practical experience)

Bonus Points

  1. Experience building AI agents, workflow automation systems, or LLM-powered products
  2. Healthcare, health-tech, or other complex regulated-industries experience
  3. Ability to prototype products using modern AI coding tools
  4. Experience writing or reviewing code, particularly Python or Typescript
  5. Consulting, solutions engineering, or other customer-facing experience
  6. Startup experience in high growth early-stage environments