Senior Product Engineer

Role Overview

• Own outcomes end-to-end, wherever you're deployed.
• Frame the problem, design it, ship it, own the metric.
• Descope to the cheapest version that works.
• Prototype in days.
• Stay close to customers.
• Shadow sales and support, join advisory conversations, and let customer reality drive technical decisions.
• Propose what to build, defer, and kill.
• Own your domain and share it. Its interfaces, reliability, performance, and security, including on-call for the systems you own.
• Consent and PII handling are central to customer trust.
• Bring patterns, tooling, and hard-won context back to the wider org rather than hoarding them.
• Build and scale both the product surface and the platform beneath it.
• Ship responsive, accessible React interfaces with a strong UI/UX eye, back them with Node.js and Python services and APIs, and keep the cloud batch platform and data pipelines that deliver multi-tenant products reliable as they scale.
• Architect AI-driven leverage.
• Build AI-assisted workflows that hold up, evolve the team's practices as tooling changes (Cursor, Claude Code, and whatever comes next), and look for product wins AI unlocks (smarter routing, anomaly detection, and more).
• Multiply the teams you touch.
• Mentor on judgment and product sense, not just syntax.
• Write decision memos and ADRs.
• Enable Product and Design to self-serve.

Requirements

• A track record of shipping something end-to-end that you cared about and owning the outcome, not just the code.
• Product judgment: pushing back on a bad spec, proposing the cheapest experiment, descoping well, and collaborating with Product to suggest solutions rather than waiting for a fully specced ticket.
• Comfort embedding with unfamiliar teams and codebases, getting productive fast, and leaving them better than you found them.
• Deep full-stack expertise: React (component lifecycle, state management, rendering optimization), JavaScript/TypeScript, and modern CSS on the frontend; Node.js and Python services, RESTful APIs, and asynchronous data handling on the backend.
• Cloud and data-pipeline depth: AWS core services (Lambda, EC2, S3, DynamoDB, API Gateway) and cloud batch / workflow orchestration (Step Functions, Airflow, or similar) to deliver multi-tenant batch products and data solutions reliably at scale.
• A strong UI/UX eye: you turn wireframes, mockups, and ambiguous requirements into intuitive, accessible, user-centric journeys.
• Strong systems design judgment in ambiguous contexts, and a security mindset aligned with sensitive consumer data and compliance.
• Fluency building your own AI-assisted workflows and reading AI output critically.
• Daily use of AI-native tools (Cursor, Claude Code) and precise prompting across OpenAI and Claude models, with the judgment to know when to trust output, how to review it for hidden bugs and security issues, and when to override it.
• Clear written and verbal communication.
• Mentorship experience.

Tech Stack

• Airflow
• AWS
• Cloud
• DynamoDB
• EC2
• JavaScript
• Node.js
• Python
• React
• TypeScript

Benefits

• 5-10% travel