Product Engineer (Senior/Staff)

Recruiting From ScratchSan Francisco, CA
Onsite

About The Position

The company is building one of the world's leading AI-powered labor marketplaces, transforming how industrial staffing operates through intelligent automation, agentic AI, and modern software infrastructure. Its platform leverages AI agents, machine learning, marketplace intelligence, and large language models to automate sourcing, vetting, matching, scheduling, and workforce operations for businesses operating across logistics, manufacturing, warehousing, and supply chain industries. By combining marketplace technology with AI-native workflows, the platform has dramatically improved fill rates, reduced hiring timelines, and enabled customers to operate with unprecedented efficiency. Backed by world-class investors including Founders Fund, Khosla Ventures, and General Catalyst, the company has raised over $45M while growing revenue more than 40x since 2022. With strong unit economics, significant market traction, and a clear path toward IPO, the company is redefining one of the world's largest and least technologically advanced industries. As a Product Engineer (Senior/Staff), you'll build AI-native product experiences, scalable backend systems, distributed infrastructure, and intelligent marketplace capabilities while partnering closely with leadership, product, operations, and customers to shape the future of industrial staffing. This is a rare opportunity to join one of the fastest-growing AI-native startups where you'll directly influence platform architecture, agentic AI adoption, marketplace intelligence, and product strategy while owning mission-critical systems that impact company growth every day.

Requirements

  • 5–10 years of software engineering experience (5+ years for Senior; 7+ years for Staff)
  • Experience building and shipping production software in fast-growing startup environments
  • Experience owning products or major features end-to-end
  • Experience building AI-powered or agentic AI products in production
  • Demonstrated impact through measurable business outcomes
  • Experience working across backend systems, APIs, infrastructure, and customer-facing products
  • Proven ability to thrive in high-growth, ambiguous startup environments
  • Strong product intuition with demonstrated engineering ownership
  • Strong Python and/or TypeScript/Node.js engineering skills
  • Experience designing scalable distributed systems and backend architectures
  • Experience building production APIs and backend services
  • Strong experience with PostgreSQL, data modeling, and query optimization
  • Experience with messaging systems such as Kafka, RabbitMQ, or similar distributed event platforms
  • Experience building AI-powered products using LLMs, agentic workflows, and modern AI tooling
  • Strong understanding of marketplace architectures, recommendation systems, or multi-sided platforms
  • Experience building scalable infrastructure supporting high-growth production systems
  • Strong software engineering fundamentals across system design, scalability, reliability, and observability
  • Ability to rapidly learn and adopt emerging AI technologies while maintaining engineering quality
  • Bachelor's degree in Computer Science, Software Engineering, or another technical field required
  • Strong communication skills
  • High ownership mentality
  • Excellent collaboration across Engineering, Product, Operations, and Leadership
  • Comfortable operating in ambiguity
  • Self-directed and proactive
  • Strong learning agility
  • Startup mentality
  • Product-first engineering mindset
  • Customer obsession
  • High execution velocity

Nice To Haves

  • Strong academic background from a Top 25 Computer Science program or equivalent technical university preferred

Responsibilities

  • Build AI-native product experiences across backend services, platform infrastructure, and customer-facing applications
  • Develop production-grade agentic AI workflows powering sourcing, matching, vetting, and workforce automation
  • Architect scalable distributed systems supporting millions of marketplace interactions
  • Design and implement high-performance APIs, backend services, and data models
  • Build intelligent recommendation, matching, and marketplace optimization systems
  • Partner closely with Product, Operations, Design, and Leadership to solve high-impact business problems
  • Build scalable infrastructure supporting AI agents, orchestration, evaluation, and production deployment
  • Leverage modern AI engineering workflows and frontier LLM technologies to accelerate development
  • Design highly reliable backend services using Python, TypeScript, Node.js, PostgreSQL, Kafka, and distributed messaging systems
  • Contribute across platform engineering, AI applications, infrastructure, and marketplace systems as a true product generalist
  • Improve platform performance, scalability, observability, and engineering quality
  • Own highly impactful product initiatives from technical design through production deployment

Benefits

  • Competitive Equity Package
  • Relocation Assistance Available
  • Visa Sponsorship Available (H-1B Transfers)
  • Direct collaboration with executive leadership and CTO
  • Significant ownership over AI-native marketplace products
  • Opportunity to build foundational AI infrastructure
  • High-impact Senior/Staff Product Engineering role
  • Exposure to cutting-edge LLMs, agentic AI, distributed systems, and marketplace technologies
  • Rapid career growth opportunities
  • Collaborative, high-performing engineering culture
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