Senior Fullstack Software Engineer
About the role
Backend-focused role building and maintaining AI-driven tax preparation platform systems, including model pipelines, data extraction, tax software integrations, and client-facing touchpoints.
Responsibilities
- Build and maintain backend systems powering the AI-driven tax prep platform (model pipelines, data extraction logic, tax software integrations, and client-facing touchpoints).
- Collaborate with sales, product, and tax operations to ship features that improve speed, accuracy, and reliability for customers.
- Develop vision-language pipelines to extract structured data from unstructured client tax documents using AI models, rules, and human-in-the-loop corrections.
- Create systems to test and improve extraction accuracy for complex tax forms, handwritten notes, brokerage statements, and K-1s.
- Design distributed cloud infrastructure to process thousands of client files concurrently across firms and tax seasons.
- Integrate with major tax software systems, file portals, and document management tools.
Qualifications
- 3+ years experience with full-stack software engineering (as per Experience).
- US citizen/visa only (Visa)
Skills
About Magnetic
AI Tax Preparer for CPA firms
Magnetic scans client documents - from handwritten charity notes to excel spreadsheet Schedule Cs to multi-state K-1s - and enters them into tax software automatically, saving hours of tedious data entry. The accounting profession is facing a massive talent shortage, as graduates choose different professions and the old guard begins to retire. As a result, CPA and tax preparation firms are awash in clientele, but unable to keep up. At many firms, phones go unanswered, clients are "fired", and websites are taken down, as the existing workforce tries to handle the grueling 80 hour+ weeks necessary to push through tax season to the April 15th deadline. We built this because a former colleague who owns her own tax firm asked us to automate her workload, and we quickly realized the massive opportunity. Thomas brings deep domain expertise as the former Head of Product at Keeper (YC W19), where he built tax engine automation systems and an OCR form scanning system that outperformed everything else on the market. At Keeper, he leveraged early access to OpenAI's LLMs (well before ChatGPT) to build systems that automated the entire tax filing process, allowing a tiny team of CPAs to process thousands of returns with near zero busy work. Patrick was the first engineer at FunCraft, shipping multiple mobile games with 1M+ downloads and building scalable shared codebases. We've worked together since 2017, including co-leading multiple teams at Zynga as PM & Tech Lead respectively. We launched this year in the middle of tax season and quickly processed hundreds of returns, earning thousands in ARR, and since tax season we've been growing customers by >30% month-over-month. We've completely automated over 25% of the return process so far and developed a proprietary vision model that beats incumbent scanning technology by almost 2x on accuracy - jumping from 50% field-level accuracy to 89%, approaching the quality of their expensive human-verified service at 92%. The opportunity is massive - there are 80M US personal tax returns filed via professionals annually, in a $2B outsourcing market where individual CPA firms currently pay $100k-$1M per year for inferior services. We're positioned to capture significant market share by offering better accuracy & document coverage, instant processing, and superior user experience. We've built this kind of software before, we've worked together for years (and even lived together), we've built products to $10M ARR before, and we have the grit to outwork anyone in this space.
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