Jobs at Addepar

• Collaborate with product, design, engineering, and key clients to define and deliver solutions that support and streamline user workflows
• Work alongside senior software engineers to deliver features end to end, with strong opportunities for ownership

• Design and build end-to-end AI-native products, from initial prototype all the way to scalable production services.
• Develop and productionize core components of our AI platform – including:

LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.)
Agentic frameworks
Core agent capabilities like MCP/ cross-platform tool use, web browsing, computer use

• Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity
• Architect, build, and productionize core components of our AI platform – including:

• Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production
• Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows

• Coach and develop a small team, setting direction and creating an environment where people can do their best work
• Shape the annual and long-range GTM planning cycle, including revenue planning by market, geography, and product, capacity and headcount planning, segmentation, and quota design

• 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...

• 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...

• 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 ...

• + 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

• 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.

• 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

• Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity.
• Architect, build, and productionize core components of our AI platform – including: