Convexent

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.

  • Jon Namnath

    Founder & Chairman

    Founder & CEO at Tribe Dynamics (acquired by CreatorIQ), CEO at CreatorIQ

  • Claude Rankin

    Co-Founder & CEO

    CFO at EV Connect, VP at Bank of America Merrill Lynch

  • Bryan Jacobs

    Co-Founder & CTO

    Led Engineering at multiple startups through IPO

  • 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.