Full-Stack Engineer (Application Pod)

Parspec•San Mateo, CA

2d•Hybrid

About The Position

Parspec is building the AI and digital infrastructure for the construction materials supply chain. Construction is a $15 trillion industry, yet the systems that underpin the buying and selling of materials remain fragmented, manual, and disconnected. Distributors and rep agencies rely on spreadsheets, PDFs, phone calls, and siloed tools to find new products and quote and manage projects; creating delays, errors, and margin erosion across the supply chain. Parspec is an AI-native platform that powers how construction products are discovered, bought, and sold. Trusted by more than 300 MEP distributors and rep agencies, Parspec helps project-driven businesses bid faster, win more work, and operate more profitably. By combining product intelligence, AI-powered workflows, and a connected ecosystem, Parspec is laying the foundation for a more intelligent, efficient construction supply chain. Founded in 2021 and headquartered in San Mateo, California, Parspec has raised $31 million from leading deep-tech and construction-technology investors. We are seeking our first Bay Area Engineer to help build a new kind of engineering team—one where two people (an engineer and a PM-builder), powered by AI, can ship as fast as a traditional five-person team. This is a hands-on role for someone who enjoys owning entire product domains end-to-end and shipping production code daily. You will be Engineer #1 for the Sales Rep Portal, owning the Sales Management & Pricing domain from backend to frontend. You will work directly with an experienced PM-builder and designer to ship the Sales Rep Portal MVP—a product that transforms how electrical distributors and manufacturers’ reps quote and price projects. This is a senior individual contributor role focused on ownership, velocity, and quality. The ideal candidate thrives in an AI-native development environment, directing AI agents to produce high-quality code while maintaining strong engineering judgment and standards.

Requirements

Full-stack engineering experience (Django + React preferred, or strong experience in similar frameworks with willingness to learn)
Experience building and shipping production software used by real customers
Strong proficiency with modern AI coding tools (e.g., Claude Code, Copilot, Cursor) as a core part of your workflow
Ability to architect systems, review AI-generated code, and intervene when necessary
Strong product mindset—you think beyond tickets and focus on solving user problems
Experience writing comprehensive tests (unit, integration, E2E) as a standard part of development
Strong code review skills and judgment in evaluating code quality and readiness for production
Comfort working in small, high-ownership teams where you are responsible for end-to-end delivery

Nice To Haves

Experience building products with Django + React/TypeScript in a unified codebase
Experience working in teams of 2–5 engineers with high ownership and minimal hierarchy
Track record of building non-trivial projects using AI coding tools (side projects, production systems, or open source)
Strong opinions on testing strategies for AI-generated code
Familiarity with modern AI-first engineering discourse (e.g., How I AI, Pragmatic Engineer, Lenny’s Podcast)

Responsibilities

Own the Sales Management & Pricing domain end-to-end, including backend (Django/DRF), frontend (React/TypeScript), database design, APIs, and infrastructure
Build and ship features independently without relying on separate frontend/backend teams or handoffs
Collaborate closely with a PM-builder and designer to translate product ideas into production-ready features
Contribute to shaping the architecture, domain boundaries, and technical direction of the Sales Rep Portal
Direct AI agents (Claude Code) to generate code, orchestrating multiple parallel development workflows
Manage development across git worktrees and parallel agent sessions
Review, refine, and validate AI-generated code to ensure correctness, performance, and maintainability
Continuously improve development workflows using AI tools like Claude Code, CodeRabbit, and automated pipelines
Ship code to production daily through an automated CI/CD pipeline
Write and maintain high-quality tests (unit, integration, and E2E using Playwright) as a core part of development
Ensure all features meet quality standards through automated testing, AI-assisted code review, and manual validation
Act as the quality bar for all code shipped, including contributions from AI, PM-builders, and designers
Review AI-generated and cross-functional PRs (including frontend contributions from PM-builders)
Collaborate with design to take features from Figma to production efficiently
Work with product and design to challenge assumptions, refine requirements, and improve solutions
Define best practices for AI-assisted development, testing, and code review
Create and maintain CLAUDE.md files and development conventions that scale across the team
Establish patterns for domain ownership, system design, and engineering workflows as the first engineer in the Bay Area