Senior Engineering Manager (Precompute)

Join Addepar as a Senior Engineering Manager (Precompute) and lead the evolution of our precompute platform. You will own the roadmap, architect and implement engineering solutions, drive integration with core compute infrastructure, and improve team efficiency. This role offers equity, a global hybrid workforce, flexible time off, competitive benefits packages, and a learning and development allowance.

Responsibilities

• Lead the evolution of Addepar's precompute layer, scaling it from targeted use cases to a platform-wide performance layer.
• Own the precompute platform roadmap in partnership with Product and engineering leadership, defining and meeting aggressive performance KPIs.
• Architect, implement, and maintain engineering solutions to solve sophisticated problems; reduce complexity through the adoption of strategic data architecture and workflows.
• Cross-team technical influence — demonstrated ability to facilitate constructive discussions around complex technical and organisational issues and drive architectural decisions across team boundaries

Requirements

• Data Governance experience — familiarity with publisher responsibilities, data health indicators, and building governance into engineering workflows
• B.S., M.S., or Ph.D. in Mathematics, Statistics, or similar numerate field (or equivalent practical experience)
• Strong cloud data infrastructure background — AWS, Databricks, Kubernetes
• Extensive background in software engineering or data platform roles, with significant experience in performance engineering under large scale and high-concurrency systems
• Experience leading global, distributed engineering teams through production system transformation
• A confident and positive outlook with low ego; high degree of ingenuity, resourcefulness, and problem-solving skills
• Finance or wealth management domain knowledge is a plus but not required
• A hands-on engineering leader with demonstrated experience in vector-based data processing

Preferred

• Data-driven prioritisation mindset — you build and act on usage analytics and cost/performance/accuracy tradeoffs, not just receive them