About Onshore
Onshore is the modern standard for U.S. companies claiming the R&D tax credit. We find, document, and defend the tax credits and deductions that farms, manufacturers, architects, and engineers have earned. Claiming the R&D tax credit has historically been an ordeal full of consultants, spreadsheets, and hidden fees. Now, our software and AI-powered solutions read every line of a client's records against the tax code, produce verified computations, and are reviewed by a credentialed tax professional before filing.
About the team
The Agriculture team builds the product that made Onshore the name in farm R&D credits. Most farms run genuine research every season: variety trials, breeding, feed programs, soil work. Almost none claim the credit that work earns, because the analysis is brutal. This team encodes that analysis as software: pipelines that turn farm records into qualified research expenses, a qualification engine with per-variety rationale, and reports that hold up to expert and IRS review. The team runs two workstreams: connectors, pulling data directly from the systems farms already use, and methodology, extending coverage into livestock, dairy, and soil fertility deductions. You'll pick a lane and range across both.
What you'll do
Build ingestion pipelines that turn messy real-world records into structured, computable data: scanned invoices, co-op statements, tax schedules, agronomy reports
Build connectors to the systems farms already use, so document chasing stops being the bottleneck of every study
Extend the qualification engine: per-variety determinations with rationale that feeds both the computation and the report narrative
Encode expert tax methodology into automated report checks, so reviewer knowledge compounds instead of living in one person's head
Help build the methodology for new incentive types: livestock, dairy, and soil fertility deductions
Write the evals for what you ship; a wrong number here is a wrong number on a federal filing
About you
If you meet the minimum requirements, apply. The preferred qualifications are a bonus, not a gate, and we would rather see your work than a perfectly matched resume.
Minimum requirements
2+ years designing, shipping, and operating production software, from requirements through architecture, delivery, and post-launch iteration.
Strong proficiency in a typed language and in SQL. We work in TypeScript; deep experience elsewhere with real interest in switching counts.
You've worked with messy data at scale: OCR output, inconsistent spreadsheets, ten formats for the same document.
You care about correctness beyond what most product engineering demands. Our output is reviewed by tax professionals and filed with the IRS.
Clear, precise communication on technical topics, in writing and in person.
Able to work in person at our New York City office.
Preferred qualifications
Experience building document extraction or structured-output LLM pipelines in production.
Experience with third-party integrations: OAuth flows, webhook reliability, rate limits, and the general art of depending on someone else's API.
Background in agtech, or you grew up around farming and know what a co-op statement looks like.
Experience with scientific, trial, or geospatial data.
Pay and benefits
The annual base salary for this role is $185,000, with a total equity grant valued at $70,000. Equity is ISOs valued at our Series B preferred price, on a standard four-year vest with a one-year cliff and early exercise available. Benefits include health, dental, and vision coverage and unlimited PTO.
Our interview process
Three conversations, about two hours of live time, with a decision typically one day after each step.
Resume deep dive, 30 minutes. We go through your experience and projects at real depth: what you built, the decisions you made, and what you'd do differently. Bring the work you're proud of.
Take-home assessment, then a one-hour review. You build something on your own time, then walk us through it live: your assumptions, patterns, and tradeoffs. We care as much about how you reason through the decisions as the code itself.
Behavioral interview, 30 minutes. How you work, how you handle ambiguity and disagreement, and whether Onshore is the right place for you, in both directions.
No six-round gauntlets, no trick questions, no waiting weeks to hear back.
Skills Required
- 2+ years designing, shipping, and operating production software through requirements, architecture, delivery, and post-launch iteration
- Strong proficiency in a typed programming language and SQL
- Experience working with messy data at scale, including OCR output and inconsistent spreadsheets
- Strong attention to correctness for outputs reviewed by tax professionals and filed with the IRS
- Clear, precise technical communication in writing and in person
- Ability to work in person at the New York City office
- Production experience building document extraction or structured-output LLM pipelines
- Experience with third-party integrations, including OAuth flows, webhook reliability, and rate limits
- Background in agtech or familiarity with farming and co-op statements
- Experience with scientific, trial, or geospatial data
What We Do
Traditional firms rely on interviews, retroactive documentation, and billable hours. Onshore applies AI at the point of substantiation, providing documentation tied directly to source data and pairing it with expert review. The result is defensible, audit-ready work delivered in weeks, not quarters. We help companies claim R&D Tax Credits, 179D Deductions, and Cost Segregation with proof, not process. 500+ companies have trusted Onshore to identify and defend more than $600M in incentives. We operate with clear accountability and high standards. Outcomes matter more than activity.
Onshore Offices
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