Founding Patent Engineer

Posted Yesterday
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2 Locations
In-Office
Junior
Artificial Intelligence • Legal Tech • Software
The Role
Serve as the company’s patent domain authority by supporting enterprise demos, onboarding IP customers, configuring workflows, and enforcing quality standards for AI-generated claim charts, prior-art mappings, and infringement assessments. Translate patent professionals’ needs into product priorities and collaborate with engineers to improve AI reasoning about claims, prior art, and infringement.
Summary Generated by Built In

In a world where products and software can be replicated overnight, intellectual property is one of the last durable moats. Stilta builds agentic AI for intellectual property, giving legal and IP teams software that can reason across massive document sets, surface evidence, and produce litigation-grade work faster and more reliably.

We recently raised a $10.5M seed round led by Andreessen Horowitz, with participation from Y Combinator and operators from companies including OpenAI, Legora, and Lovable. We already work with major IP firms and Fortune 500 companies, and we’re at the very beginning of defining what great AI-native software for intellectual property looks like.

About the role


We're hiring a patent professional who wants to shape the future of their field, not just practice in it. You'll be the domain authority inside the company: the person who knows what "good" looks like and makes sure our AI meets that bar. You'll lead the domain side of customer engagements with top IP firms and Fortune 500 IP teams, turn real litigation workflows into product, and work directly with engineering to improve how our agents reason about claims, prior art, and infringement.

What you will do
  • Join enterprise demos and pilots as the domain expert

  • Onboard customers: train teams, configure workflows, ensure first-week value

  • Set and enforce the quality standard for AI-generated analysis - claim charts, prior art mappings, infringement assessments - against the bar you know from practice

  • Translate what patent professionals need under real pressure into product decisions and feature priorities

  • Work with engineering to improve how our agents reason about claims, prior art, and infringement

What we are looking for
  • 2+ years of patent experience - litigation and invalidity experience is a plus, but we value anyone who has done serious patent work and knows what quality looks like

  • Have personally drafted claim charts and conducted prior art searches

  • Curious about AI and ready to be hands-on in shaping how it handles the work you have been doing manually

  • You want ownership and impact, not billable hours

What we can offer
  • Competitive Salary + Equity

  • Unlimited Claude Code - experiment with AI‑assisted workflows, prototypes, and automations from day one

  • Sponsored VISA

  • A front row seat - you will be shaping the foundation of our business

Stilta are an equal opportunities employer and welcome applications from all qualified candidates, regardless of age, disability, gender, gender identity, sexual orientation, ethnicity, religion, or background. Selection for this role will be based solely on suitability for the position and does not discriminate on any protected characteristic.

Skills Required

  • 2+ years of patent experience
  • Experience personally drafting claim charts
  • Experience conducting prior art searches
  • Curiosity about artificial intelligence and willingness to shape AI-assisted patent workflows
  • Litigation and invalidity experience
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The Company
8 Employees
Year Founded: 2026

What We Do

Stilta builds agentic AI software for high-stakes intellectual-property work, beginning with patent litigation. It helps intellectual-property law firms and in-house teams challenge or enforce patents through source-backed, auditable research and analysis. The platform searches and analyzes patents, scientific literature, and web archives to support tasks such as invalidity, infringement, and freedom-to-operate assessments, aiming to make intensive patent work faster while preserving traceability and defensible evidence.

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