Senior Engineering Manager

Who you are

• B.S., M.S., or Ph.D. in Mathematics, Statistics, or similar numerate field (or equivalent practical experience)
• Extensive background in software engineering or data platform roles, with significant experience in performance engineering under large scale and high-concurrency systems
• A hands-on engineering leader with demonstrated experience in vector-based data processing
• Experience leading global, distributed engineering teams through production system transformation
• Strong cloud data infrastructure background — AWS, Databricks, Kubernetes
• Cross-team technical influence — demonstrated ability to facilitate constructive discussions around complex technical and organisational issues and drive architectural decisions across team boundaries
• Data-driven prioritisation mindset — you build and act on usage analytics and cost/performance/accuracy tradeoffs, not just receive them
• Data Governance experience — familiarity with publisher responsibilities, data health indicators, and building governance into engineering workflows
• Finance or wealth management domain knowledge is a plus but not required
• A confident and positive outlook with low ego; high degree of ingenuity, resourcefulness, and problem-solving skills

What the job involves

• 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
• 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

Benefits

• Equity: Stretch the idea of ownership beyond your day-to-day and take pride in being an owner in the growth of Addepar
• Global Hybrid Workforce: Whether you work remotely or on-site, you’ll have the opportunity to build and collaborate with colleagues around the world
• Flexible Time Off: Spend time traveling, celebrating with friends and family or relax on your schedule
• Benefits Packages: Competitive medical, dental and vision benefits along with a monthly wellness allowance to keep you healthy and happy
• Learning & Development Allowance: Your continued growth and development are important to us
• Dynamic Team: Strong investment in the best talent at the intersection of technology and finance