AI Data Platform Engineer

About Ridgeline

Ridgeline is the first front-to-back system of record for investment managers. Founded by visionary entrepreneur Dave Duffield (co-founder of both People Soft and Workday), the company was created to modernize an industry held back by outdated, disconnected technology. Powered by a single, real-time data set and embedded AI, Ridgeline helps firms automate complexity, accelerate collaboration, and deliver tailored client experiences at scale, without added headcount or risk.

Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, and the Bay Area, and is recognized by Fast Company as a “Best Workplace for Innovators,” by Frost & Sullivan as a “Technology Innovation Leader,” and by The Software Report as a “Top 100 Software Company.”

San Ramon, CA or Reno, NV

Ridgeline is the first front-to-back system of record for investment managers. Founded by visionary entrepreneur Dave Duffield (co-founder of both People Soft and Workday), the company was created to modernize an industry held back by outdated, disconnected technology. Powered by a single, real-time data set and embedded AI, Ridgeline helps firms automate complexity, accelerate collaboration, and deliver tailored client experiences at scale, without added headcount or risk.

Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, and the Bay Area, and is recognized by Fast Company as a “Best Workplace for Innovators,” by Frost & Sullivan as a “Technology Innovation Leader,” and by The Software Report as a “Top 100 Software Company.”

Ridgeline is building the connective tissue that will power the next generation of its data and AI strategy — and we're looking for a senior engineer to help build it. This isn't a governance role, and it isn't a support function. It's hands‑on engineering with real, visible business impact: the systems you build will directly enable how Ridgeline stores, connects, and activates its data across the business.

You'll join a team at an inflection point. What started as a connectivity‑focused function is being asked to own something much bigger — the architecture behind secure integrations, Model Context Protocols (MCPs), API gateways, and the AI platform (RAG pipelines, vector databases, model provider gateways) that will define how Ridgeline uses AI responsibly and effectively. You won't be maintaining someone else's roadmap.

You'll be helping write it.