About The Position

This is a co-founder role, not a CPTO hire, for an AI Compliance Platform startup. The company is building an explainable AI platform to address the inefficiencies and risks in compliance processes for U.S. RIAs, broker-dealers, and wealth fintechs, which currently rely heavily on manual review. The platform aims to provide AI-driven judgments that are credible, audit-ready, and cite firm policies and regulations. The roadmap includes marketing review, communications surveillance, trading oversight, policy management, audit, and regulatory filings. The CEO co-founder is in place, customer thesis is validated, and design partners are engaged. The technical co-founder will own product and engineering with a founder-level equity stake, co-decision rights, and a genuine partnership with the CEO.

Requirements

  • Shipped LLM-powered systems into production environments where incorrect outputs carried real consequences — not prototypes or demonstrations.
  • Full-stack confidence across applied LLMs, RAG, retrieval, deterministic rules engines, human-in-the-loop workflows, observability, and secure multi-tenant SaaS (SOC 2, tenant isolation, encryption, audit logging).
  • Well-formed convictions about explainability and reliability engineering, developed through direct production experience.
  • Preference for systems that perform consistently in the field over systems that demonstrate well in controlled settings.
  • Prepared to operate as a principal — setting the technical agenda, making decisive calls under uncertainty, and owning the outcomes that follow.

Nice To Haves

  • Prior founder, founding engineer, or early-stage technical leadership experience.
  • Background in legal tech, RegTech, fintech compliance, healthcare, or another high-trust regulated vertical.
  • Familiarity with the U.S. wealth management ecosystem, including SEC and FINRA workflows, marketing review, communications surveillance, and trade monitoring.
  • Direct experience self-hosting or privately deploying foundation models.

Responsibilities

  • Write the first lines of production code, set the technical direction, and lead execution end-to-end.
  • Establish the core architecture, engineering culture, and security posture, including SOC 2 readiness, tenant isolation, encryption, and audit logging.
  • Ship a marketing review prototype into production with a design partner early adopter, then deliver communications surveillance, trading oversight, audit-ready logs and reporting; release GA v1 covering all core modules except regulatory filings within 9 months, and expand into regulatory filings and enterprise integrations through 18 months.
  • Own the training and constant evolution of the core AI/LLM model, delivering robust and highly reliable analysis.
  • Own the explainability layer that produces audit-ready evidence on demand, and the reliability engineering that ensures the platform performs consistently in the field.
  • Represent the company in front of all customer constituencies and third-party interests, as well as investors, as the technical voice of the venture.
  • Convert pilots into ten paying customers and reach $1M ARR within 18 months, partnering with the CEO on conversion and fundraising.
  • Recruit and lead the founding engineering and applied AI team, and establish the cultural foundation of the company.

Benefits

  • Founder-level equity
  • Founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy
  • Board or board-observer seat as appropriate to the cap table and stage
  • Genuine partnership with the CEO on every material decision
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