Senior Product Engineer

Recruiting From Scratch•Palo Alto, CA

44d•Onsite

About The Position

The company is building an AI-powered legal technology platform that transforms one of the most complex and high-impact professional workflows by combining experienced domain experts with modern AI systems. Its platform leverages large language models, AI-assisted workflows, and automation to help legal professionals manage complex case work, streamline document preparation, and improve operational efficiency across high-volume legal processes. Backed by leading venture investors and led by an experienced founding team, the company is rapidly scaling its engineering organization while maintaining a high engineering bar and AI-native development culture. Engineers own products end-to-end—from backend architecture and APIs to frontend experiences and AI-powered product capabilities. As a Senior Product Engineer, you'll work directly with the founders and internal domain experts to build AI-powered software that solves meaningful real-world problems while shipping production features at startup speed. This is a rare opportunity to join an early-stage AI company where every engineer directly shapes product strategy, engineering culture, and customer impact while building software used in high-stakes real-world workflows.

Requirements

5+ years of experience as a Full-Stack Software Engineer or Product Engineer
Experience building and shipping production software end-to-end
Experience working at a high-growth startup, leading technology company, or as a founding engineer
Experience owning product features from concept through production deployment
Experience building customer-facing software products
Experience conducting code reviews and mentoring junior engineers
Experience collaborating closely with cross-functional stakeholders
Strong Python engineering skills
Experience building backend services using FastAPI or similar backend frameworks
Strong PostgreSQL and relational database experience
Comfortable working across frontend and backend systems
Experience building AI/LLM-powered applications
Daily user of AI coding tools such as Cursor, Claude Code, or Codex
Strong API design and backend architecture fundamentals
Experience building scalable production software
Familiarity with React, TypeScript, or modern frontend frameworks
Strong debugging, testing, and software engineering best practices
Strong product mindset
High ownership mentality
Excellent communication skills
Strong collaboration with technical and non-technical stakeholders
Comfortable operating in ambiguity
Self-directed and proactive
Bias toward execution
Startup mentality
Strong work ethic and ability to thrive in high-intensity environments

Nice To Haves

Startup experience strongly preferred
Bachelor's degree in Computer Science, Software Engineering, or related technical field preferred
Strong academic background from a top engineering program preferred
Top-20 Computer Science program strongly preferred for candidates with fewer than 5 years of experience
AI application startups
LegalTech companies
Product engineering organizations
Enterprise SaaS startups
Early-stage venture-backed startups
Founding engineering teams
AI-native software companies
Full-stack product engineering teams
Engineers building LLM-powered customer products
High-growth technology companies

Responsibilities

Own product features end-to-end across backend services, frontend applications, and AI-powered workflows
Design and build scalable APIs, backend services, and production application architecture
Design database schemas and backend systems supporting production applications
Build AI-powered product features leveraging LLMs and machine learning models
Develop user-facing experiences using modern frontend technologies
Partner directly with internal domain experts to understand workflows and rapidly build solutions
Build production-grade software using AI-assisted development tools
Collaborate closely with founders to shape product direction and engineering priorities
Prototype new product capabilities rapidly and iterate based on user feedback
Design scalable backend infrastructure supporting AI-powered workflows
Conduct code reviews and mentor engineers through engineering best practices
Contribute across the full technology stack whenever needed