Senior Engineering Manager leading Automation and AI Team for General Motors. Driving innovative solutions and managing team capabilities to optimize engineering tools and systems.
About the role
- Technical co-founder needed for an AI compliance platform focusing on regulatory review. Lead architecture, product build, and the AI/LLM training while partnering with the CEO.
Responsibilities
- 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
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
- Strongly preferred: 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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