Legal and Product Engineer (USPTO Examiner Background)
Company websitesolveintelligence.com (Solve Intelligence, opens in new tab)
Base salary $100K to $220K
Employer-published annual base salary, USD. Advertised base range in New York, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Are you a patent attorney or agent who spent time as a USPTO examiner and knows firsthand what happens on the other side of the desk? Do you want to help build the product that changes how the patent office itself works, not just the firms filing into it? Do you want real ownership over a brand new frontier at a fast-growing company, instead of another year of incremental work at a firm?
This is your chance to join a rocket ship! 🚀
🏗️ About the role
We are looking for a Legal & Product Engineer with USPTO examiner experience to help us build for the patent office side of the table, as we expand beyond private practice law firms into direct relationships with patent offices themselves.
You'll be joining the most lean, talent-dense, and fast-moving legal team in New York.
You'll be responsible for:
Bringing firsthand USPTO examiner experience into product discussions, shaping how Solve builds for the examiner side of the patent process
Supporting Solve's push into working directly with global patent offices, including the USPTO and EPO, by lending credibility and hands on domain expertise
Helping onboard and support examiner users as Solve's examiner-facing product and contracts come online
Partnering closely with Solve's existing patent attorneys to ramp quickly on Solve's workflows and tooling
👤 About you
As a Legal & Product Engineer, you will have extensive experience navigating patent prosecution from both sides of the process, through work as a USPTO examiner and time in private practice.
Registered US patent attorney or patent agent, with a technical degree in a field like computer science or electrical engineering
Former USPTO patent examiner, having examined applications for at least 1 to 2 years
Currently working in private practice or in-house, not a currently active examiner and not someone who has returned to government work
3 to 5+ years of total experience across USPTO examining and private practice combined
Comfortable and confident in customer-facing settings, from customer calls to product demos
Self-directed with a startup mindset, ready to move faster and take more ownership than typical government or firm work allows
Nice to have:
Examining background in software, AI, or electrical art units
Comfort using AI tools as part of daily workflow
Drafting or prosecution experience in software or AI-adjacent technologies
Time at a well-regarded firm
💰 What we offer
Competitive base salary depending on skill and experience.
Significant equity - we want you to take ownership in Solve Intelligence and share in the success that lies ahead.
Full visa sponsorship.
Opportunity to work with a super smart and ambitious group of people building something people want.
Private medical insurance.
Free meals.
🚀 About Solve Intelligence
Solve Intelligence is the fastest-growing startup transforming the IP landscape. Solve's AI platform manages everything from invention harvesting and patent generation through to litigation and licensing.
Growth: ~20–30% MoM revenue growth; selling to 700+ global IP teams across 6 continents (DLA Piper, tech giants, boutiques, etc); 8 figures of ARR — all just ~3 years since we started.
Backing: $55M backing from YC, 20VC, Microsoft, Thomson Reuters, and the founders of top companies like Stripe, Perplexity, Tinder, Deel, Hugging Face, and Canva.
Impact: 50–90% efficiency and quality improvements.
See our latest Series B announcement.
We're on a high-growth trajectory, and we're looking for people who want to join us on the journey to building a generational AI company.
👥 Meet the founders
You’ll work directly with a founding team of AI PhDs and systems experts:
Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired).
Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute.
Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard).
Source: Solve Intelligence on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($100,000) is above 0% of the 487 Product roles in New York listed on this site; 11 others list the same floor. Their median floor is $170,000; the middle half runs from $143,100 to $200,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingLegal and Product Engineer (USPTO Examiner Background)$100K to $220K
Legal and Product Engineer (Japanese Speaking)$100K to $220K
US Infrastructure Engineer$120K to $250K
Legal Counsel$150K to $220K
Chart as a table
| Role | Published base |
|---|---|
| Legal and Product Engineer (USPTO Examiner Background) (this listing) | $100K - $220K |
| Legal and Product Engineer (Japanese Speaking) | $100K - $220K |
| US Infrastructure Engineer | $120K - $250K |
| Legal Counsel | $150K - $220K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-08-07
Where this pay comes from
Location as the employer wrote it: New York
USD 100,000 – 220,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
