Sr. Engineering Manager, Precompute

About this role

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity.

Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a Precompute Platform Lead to own and scale Addepar's precompute layer — the platform that pre-calculates financial analytics and transparently integrates precomputed and real-time results, delivering step-change improvements in query latency and concurrency for enterprise-scale wealth management firms.

The team operates on terabyte-scale datasets, leveraging vector-oriented programming and distributed systems to enable sub-second performance. You will lead the evolution of this capability from targeted use cases to a platform-wide performance layer — solving hard problems in incremental computation, vectorised processing, and distributed data architecture as you scale. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment.

Please note that visa sponsorship is not available for this role. What You’ll Do Own the precompute platform roadmap in partnership with Product and engineering leadership, defining and meeting aggressive performance KPIs for daily processing, incremental processing, and query latency across enterprise clients Architect, implement, and maintain engineering solutions to solve sophisticated problems; reduce complexity through the adoption of strategic data architecture and workflows Drive integration with core compute infrastructure, growing the share of query traffic served through the precompute layer Continue global region support, building a repeatable architecture that scales across Addepar's multi-region deployment Drive deeper vectorisation of the calculation layer, moving compute-intensive factor math from row-by-row execution into the columnar engine for step-change throughput improvements Improve team efficiency by engaging with operational partners Drive Data Governance outcomes by integrating Data Publisher Responsibilities into precompute data creation workflows and achieving Data Health indicators for precompute artifacts Who You Are B.S., M.S., or Ph.D.