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FutureSightPosted 3 weeks ago

Product & Technical Co-founder (CPTO) - AI Compliance Platform

RemoteUnited States

Full TimeSmall

Job Summary

Establish the core architecture, engineering culture, and security posture including SOC 2 readiness, tenant isolation, and audit logging. Write the first lines of production code to ship a marketing review prototype, then deliver communications surveillance, trading oversight, and audit-ready logs within 18 months. Own the training and evolution of the core AI/LLM model, the explainability layer for regulatory evidence, and reliability engineering. Represent the company as the technical voice to customers, investors, and design partners. Recruit and lead the founding engineering and applied AI team. Convert pilots into paying customers to reach $1M ARR and partner with the CEO on fundraising.

Required Qualifications

  • Shipped LLM-powered systems into production environments where incorrect outputs carried real consequences
  • 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

Desired Qualifications

  • 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

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