The VP of Engineering will lead architectural vision, mentoring engineers, defining platform architecture, and championing AI integration in systems design.
VP of Engineering
Platform Architecture & Scale
About Advocate
Advocate is transforming how Americans access government benefits. Using cutting-edge AI technology, we're reducing months-long disability application processes to days, helping vulnerable citizens get the support they deserve. After 2.5 years of rapid growth, we've built systems with increasing scale and complexity. Now we need an architectural visionary to design our next-generation platform.
The Opportunity
We're seeking a VP of Engineering who sees elegant simplicity where others see overwhelming complexity. You'll partner with our CTO to head architecture and engineering, reimagining how case development platforms should work in an AI-first world. This role is for an architect who finds simple elegance in design, creating minimal technical surface area to deliver maximum value. You understand that the best systems grow incrementally but are guided by a coherent vision from day one - not through endless complexity or components without consideration for the whole.
The Role
You'll lead and mentor a team of engineers while partnering with our CTO to define platform architecture. This uniquely combines deep technical architecture, strategic thinking, and hands-on engineering leadership. You'll need world-class system design skills paired with the ability to inspire brilliant engineers toward a unified vision.
The Person We're Looking For
Essential Background You're an accomplished architect and engineering leader who has designed sophisticated platforms that model human workflows with AI to transform facts into meaningful insights. You've led teams through platform transformations and built best-in-class user experiences. Most importantly, you've fully integrated AI into your workflow - it's not a tool you use, it's a partner that amplifies your capabilities 10x.
Location & Work Requirements
This position requires candidates who are currently authorized to work in the United States without sponsorship and are based in the US. The role requires travel to our SF and NY office locations at least 6 times per year for strategic planning sessions, team collaboration, and key company events. Unfortunately, we are unable to consider international applicants or provide visa sponsorship at this time.
Core Responsibilities
- Architectural & Engineering Leadership: Partner with the CTO to design enterprise-grade systems that seamlessly blend event-driven architectures, stream processing, workflow orchestration, and AI pipelines. Build and mentor a high-performing engineering team, creating a culture where engineers grow while delivering exceptional results. Your architectural reviews are teaching moments; your pair programming sessions demonstrate AI-amplified development
- AI-Native Development Culture: Champion the use of AI in every aspect of development. At Advocate, we believe in human intellectual amplification through AI partnership \- we'll never be "vibe coders." You'll establish workflows and practices that make AI collaboration second nature for the entire team, teaching others to achieve 10x productivity through AI partnership
- Platform Evolution: Design systems that handle data changing over time through human and machine steps. As humans review data and AI generates insights, your architecture must elegantly handle cascading changes while maintaining perfect audit trails. Transform existing systems into clean, scalable patterns while maintaining 99.99% uptime
- Simplicity Through Sophistication: Create architectures that are profoundly simple despite underlying complexity. The best solution to a 10-component problem might be 3 elegant abstractions, not 20 micro-services
Technical Excellence
- AI & Architecture Mastery : You've developed a profoundly effective personal workflow with Claude Code, Codex, GPT-5, and other AI systems. You understand the difference between "vibe coding" and true AI partnership. You're equally fluent in distributed systems patterns (event sourcing, CQRS, saga patterns), know when to use Kafka vs. Kinesis vs. neither, and understand AWS services deeply without being dependent on them
- Framework & Performance Expertise: Experienced with modern orchestration (Temporal, Airflow), data processing (Spark, Flink), and application frameworks \- understanding their internals, not just usage. You predict bottlenecks before they exist and design security-first systems where protection is inherent, not added
Cognitive Approach
- Systems Thinker: You see connections others miss \- between data points, algorithms, and human processes. You question every assumption from first principles. Your designs start from fundamental truths, not industry conventions
- Right, A Lot: Your instincts about what will work are correct more often than not. You have a track record of successful bets on architectural decisions that seemed risky but proved transformative
- Extreme Ownership: You're obsessively driven to solve problems. When you take on a challenge, it becomes yours completely. The problem stays with you in the shower, on walks, in dreams. You wake up at 3 AM with breakthrough ideas and immediately test them
- Intellectual Humility: You understand AI may produce insights beyond human comprehension and build systems that account for this. You admit when wrong and change course quickly
- Communication Clarity: You can explain distributed consensus to an intern and data sharding to a board member. Your architecture documents are clear, visual, and impossible to misinterpret
Leadership Excellence
- Technical Influence: Engineers follow your vision because your designs are obviously correct. You lead through clarity and competence
- Team Builder: You identify talent, develop potential, and create teams greater than the sum of their parts. You elevate every engineer, teaching them to think architecturally and collaborate with AI effectively
- Decisive Under Uncertainty: You make architectural decisions with 70% information and adjust as you learn. You build consensus without compromise
Unique Qualifications
- Interdisciplinary Background: Your expertise spans multiple fields - software engineering, data science, user experience, organizational behavior
- Speed & Outcome Obsession: You measure iterations in hours and days. A working solution today beats perfection next quarter Invention Track Record: You've created novel architectural patterns and think in terms of "what's possible" not "what's been done"
Technical Environment
- Event-driven architectures (Kafka/Kinesis/EventBridge)
- Multi-tier data platforms (Aurora, DynamoDB, OpenSearch, S3)
- Orchestration (Temporal, Step Functions, custom engines)
- Real-time processing (Flink/Kinesis Analytics)
- Container orchestration (ECS/EKS)
- Infrastructure as Code (CDK/Terraform)
- AI/ML pipelines throughout You'll have full authority to evaluate, adopt, or replace any part of our stack.
- AI Orchestration (LlamaIndex, LangChain)
Are You Ready?
If you read this and thought "finally, a role that values both architectural elegance and AI amplification" - send us:
- A complex system you've architected and your key design decisions
- How AI has transformed your development workflow
- Your approach to building AI-native engineering teams
This role is for those rare individuals who can hold an entire platform in their mind while inspiring others to build it - those who see AI as a partner in invention, not just automation.
Join us in building the platform that will revolutionize government services.
Top Skills
AI
Ai/Ml Pipelines
Aurora
Cdk
DynamoDB
Ecs
Eks
Event-Driven Architectures
Flink
Infrastructure As Code
Kafka
Kinesis
Langchain
Llamaindex
Opensearch
S3
Step Functions
Temporal
Terraform
Similar Jobs
Hardware • Healthtech • Software • Analytics
Lead the software engineering team, define technical strategy, mentor engineers, and ensure operational excellence while supporting the company's mission.
Top Skills:
Engineering ManagementHealthtech
_0.png)
Fintech
The Vice President of Engineering leads technology strategy and execution, oversees engineering and DevOps, drives AI innovation, and ensures compliance while developing talent.
Top Skills:
AIAPIsAWSCloud TechnologiesDevOpsMachine LearningSaaS
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead the research and development of AI technologies, manage product development initiatives, recruit talent, and drive engineering excellence.
Top Skills:
Agentic AiCloud EnvironmentsGenerative AiSoftware Development Life Cycle (Sdlc)
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
