Built by people who have sat in the chair
Who we are
Specified by a CFO, built by AI engineers
Convexent does the thing a CFO wishes existed, because a CFO specified it. Between us we have run finance at a venture-backed company, sat on the banking side of the table, and led engineering teams from inception through acquisition and IPO. We have lived in the workbook that only one person can run, and we know what modern AI can and cannot be trusted with. Both halves of that shape what we build.
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Jon Namnath
Founder & Chairman
Founder & CEO at Tribe Dynamics (acquired by CreatorIQ), CEO at CreatorIQ
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Claude Rankin
Co-Founder & CEO
CFO at EV Connect, VP at Bank of America Merrill Lynch
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Bryan Jacobs
Co-Founder & CTO
Led Engineering at multiple startups through IPO
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Nicholas Hilton
Co-Founder & Head of AI
Led AI at multiple venture-backed startups
What we value
Mathematical Integrity
We don’t approximate financial math with language models. Convexent uses deterministic calculation engines and produces real Excel models that users can audit, trace, and trust.
Technical Rigor
Finance teams stake real decisions on these numbers. Precision is not optional.
Craft & Clarity
Clean code, structured outputs, clear thinking. We care about the details that build trust, in the systems and in the decisions they support.
High Ownership
We operate with strong ownership and end-to-end accountability. Problems are solved directly, with a bias toward thoughtful execution over hand-offs and bureaucracy.
Who we're looking for
Sr. Forward Deployed Financial Engineer
New York / Los Angeles
Embed directly with customers to translate their Excel models, CIMs, and financial data into structured, inspectable models. You’ve built high-stakes financial models in investment banking, private equity, or Big 4 advisory — and you understand how deal teams actually work. Prior modeling experience required.
Staff AI Engineer
New York / Los Angeles
Build the core AI systems that power financial model generation. You’ll work on LLM orchestration, structured output generation, and domain-specific reasoning for M&A, LBO, and DCF models. Prior experience with large language models required; finance background a plus.
Quantitative Finance Lead
New York / Los Angeles
Define the financial logic that underpins our models. You’ll architect valuation frameworks, sensitivity analyses, and scenario modeling systems that meet institutional standards. CFA, MBA, or equivalent experience in investment banking or private equity required.
Sr. Product Lead
New York / Los Angeles
Own the product vision and roadmap. You’ve spent time on deal teams — investment banking, private equity, or corp dev — and know firsthand what’s broken. Now you want to fix it. You’ll work directly with customers and shape what we build.
Don't see the perfect role for you?
We're always looking for exceptional people. Reach out and tell us what you'd build.