Jobs at Addepar

• Build a deep understanding of the Advisor persona within the RIA segment, learning how their daily workflows connect across the broader Addepar platform.
• Collaborate with cross-functional partners and stakeholders to author a long-term product direction across mobile and web surfaces.

• Apply technical and industry expertise to design and implement scalable, best-practice solutions within existing Addepar environments—delivering with speed, precision, and an unwavering commitment to quality
• Deliver high-impact outcomes aligned to client goals, ensuring measurable value and satisfactio...

• Own and evolve the product roadmap for the Observability and Compute/Network teams, spanning metrics/logging/tracing platforms, alerting and on-call tooling, SLO and error-budget frameworks, dashboards, compute provisioning, container orchestration, networking, service mesh, capacity planning, and infrastructure cost management.

• Set the technical direction for AI engineering across the team: agent architecture patterns, evaluation methodology, deployment and monitoring strategies
• Design the AI platform layer, including the shared agent frameworks, tool integrations, and evaluation infrastructure the team builds on

• Architect, implement, and maintain backend services that manage file storage, permissions synchronization, and third-party integrations at enterprise scale — writing well-designed, testable code.
• Design and build event-driven systems for real-time permission propagation across Addepar's financial graph and external storage providers, meeting compliance revocation SLAs.

• Lead frontend development for the Advisor Experience Secure Messaging product, building rich, performant user interfaces using modern web frameworks.
• Design and maintain scalable frontend architecture, including component libraries, state management patterns, and client-side data layer integration.

• Lead, mentor, and grow a team of full-stack engineers, building a culture of accountability, quality, and continuous improvement from the ground up.
• Partner with product management and design to define roadmaps, prioritize work, and deliver on initiatives that directly shape the advisor-client experience on Addepar's platform.

• Architect, implement, and maintain full-stack engineering solutions to solve complex problems; write well-designed, efficient, and maintainable code that is scalable and extensible across frontend and backend systems
• Shape technical direction for the team by establishing engineering standards, contributing to s...

• Strategic Advisory: Act as the lead domain authority for global, multi-billion dollar opportunities, partner with account executives to design complex deal structures and multi-year expansion roadmaps
• Platform & AI Evolution: Guide existing clients through the modernization of their workflo...

• Requirements Gathering: Partner with stakeholders (like HR, Talent Acquisition, and Finance) to map current processes, translate needs into clear, testable technical requirements, and document them precisely
• Project Leadership: Run the end-to-end lifecycle across planning, execution, monitoring, risk ...

• Align every partnership initiative directly with Addepar’s core product strategy, ensuring integrations and overall partnerships strengthen platform stickiness rather than creating disparate feature forks.
• Deliver skilled relationship management in navigating external political organizations and infl...

• Architect, implement, and maintain engineering solutions to solve complex problems; write well-designed, testable code.
• Lead individual project priorities, deadlines, and solutions.

• + Innovation & Strategy - Keep up with the latest trends, models and innovations in all facets of AI Security and advise on proper architectures

Platform AI Security - Working with our Engineering and Application Security teams to ensure our products are leveraging AI in a secure manner across our platform.

AI Enablement -Partnering with our Architecture team to continue to evolve Addepar’s Internal AI Productivity initiatives by securely enabling our business to leverage AI to streamline processes and enhance productivity.

• Lead, mentor, and grow a high-performing engineering organization dedicated to the Institutional segment
• Establish clear engineering goals, operational metrics, and delivery standards aligned with company objectives and create a high-performing engineering culture

• Drive the annual and in-year GTM planning cycle, including revenue planning by market/geo/product, capacity and headcount planning, market segmentation, quota design, and margin planning
• Translate company targets into bottoms-up revenue plans with clear market, segment, and channel assumptions that align Sales, Finance, and executive leadership

• Build and scale a comprehensive platform, formalizing and optimizing data analytics across teams
• Collaborate with product managers and engineers to understand requirements, and architect solutions for sophisticated data and workflow challenges

• Lead and mentor a team of Data Validation Specialists, supporting career development, delivering regular feedback, and helping individuals thrive in their role
• Manage a team’s work allocation, prioritization, and execution to ensure on-time, high-quality project delivery

• Sales Process Support: Serve as the product domain expert, supporting Account Executives and their prospects throughout the entire sales lifecycle.
• Technical Consultation: Provide in-depth product knowledge to customers and prospects, clearly highlighting Addepar's differentiating advantages and capabilities over competitors.

• Strategic advisory: Act as the lead domain authority for fund managers, institutional allocators, and OCIOs. Partner with Account Executives to design complex deal structures and multi-year expansion roadmaps.
• Platform and AI evolution: Guide prospects and clients through the modernization of their work...

• Design and build distributed microservice components in Addepar’s calculation engine - a data intensive application
• Scale our Java-based calculation engine to 100x larger workloads using best-of-breed time series analytics database technologies