Senior Engineer - Technical Staff

Responsibilities

• Lead the design and delivery of complex product features and platform systems, from scoping and architecture through production and iteration.
• Establish engineering patterns and standards for the team: how we build, test, observe, and iterate across both product and platform work.
• Apply and champion AI tooling (Claude Code, Cursor, Codex, and the rest) to accelerate your own output and raise the team's velocity.
• Drive architectural decisions: data models, service boundaries, system tradeoffs, and communicate them clearly to technical and non-technical stakeholders.
• Mentor engineers, give substantive feedback, and be a go-to resource for technical judgment across the team.
• Partner with Product and Design to shape scope and de-risk execution on high-ambiguity problems.
• Work directly with our customers (financial advisors) to understand their workflows and bring that context into how you build.

Must Have

• 5+ years of professional experience.
• You use AI tools aggressively in your daily workflow: Claude Code, Cursor, Codex, and whatever else is useful. You're consistently ahead of the curve on what's emerging, and you translate that into concrete decisions: what to build with AI, how to build it reliably, and where it's not worth the complexity.
• Track record of leading projects end-to-end with measurable business impact; you've taken ambiguous problems from 0 to production and held the quality bar throughout.
• Strong full-stack or platform engineering depth; we use Rails, React, Next.js, PostgreSQL, and GraphQL; comfortable across the stack or with the depth to close gaps fast.
• Strong system design instincts: data models, service boundaries, failure modes, and how systems hold up at scale.
• Strong technical communication: you write clearly, give effective feedback, and collaborate well across functions in a startup environment.

Nice To Have

• You've built AI-powered features or systems that customers rely on in production: LLM integrations, agentic workflows, retrieval pipelines, intelligent automations, or similar. You understand the real design tradeoffs: prompt reliability, latency, cost, failure modes, not just the happy path.
• You have experience with LLM evaluation frameworks (RAGAS, LangSmith, custom harnesses) and a systematic approach to measuring reliability.
• You have fintech domain knowledge: financial services, wealth management, regulatory compliance, or financial data integrations.
• You have experience with vector databases, embedding pipelines, or retrieval-augmented generation at production scale.
• You are fluent in the modern development ecosystem: macOS toolchains, CI/CD pipelines, IaaS (AWS/GCP), and observability platforms (Datadog, Honeycomb, etc.).

Benefits

• Competitive salary and equity package
• Unlimited PTO + paid company holidays
• Access to holistic medical, dental, and vision plans
• Company 401(k), Commuter, and HSA/FSA plans
• NYC office in the heart of Manhattan
• Lunch and snacks provided in the office
• Access to virtual mental health care (Spring Health), vision related benefits (XP Health), and health concierge (Rightway)
• Access to counseling for stress management, dependent care, nutrition, fitness, legal, and financial issues (Guardian WorkLifeMatters EAP)

Pay

Compensation Range: $175K - $230K