Member of Technical Staff

Location - San Francisco CA or New York City NY (Onsite 5 days/week)

Compensation - $150000 $300000 Base Competitive Equity

Visa - No Visa Sponsorship Available
Must be a U.S. Citizen or Green Card Holder due to ITAR requirements

Company Stage - Seed Stage ($5M raised 7 employees)

Industry - AI Manufacturing Industrial Automation Operations Research

About the Company

The company is building autonomous AI systems that operate factories by connecting fragmented manufacturing systems and deploying AI agents that optimize operations in real time.

The platform integrates data from ERP systems MES platforms PLCs sensors spreadsheets and other legacy systems into a unified intelligence layer. On top of this foundation AI agents automate scheduling dispatch work to operators identify bottlenecks and improve factory throughput and profitability.

Founded in 2024 and backed by leading early-stage investors the company is already deployed at a precision aerospace manufacturer supplying major aerospace and defense organizations.

The team combines expertise from some of the worlds most technically demanding companies across AI systems engineering manufacturing and operations research.

This is an opportunity to join as an early technical team member and directly influence the future of autonomous industrial operations.

What Youll Do

• Own and ship customer-facing features from ideation through production deployment
• Build AI-powered interfaces and workflows used directly by factory operators and managers
• Develop and extend agent orchestration systems that optimize factory operations
• Work on the unified data platform connecting manufacturing systems and operational data
• Build AI systems that automate scheduling dispatching bottleneck detection and operational decision-making
• Apply LLMs reinforcement learning context engineering and agent-based workflows to real-world manufacturing environments
• Collaborate directly with customers to understand operational challenges and deploy solutions
• Design scalable backend systems supporting factory intelligence and automation
• Work across the full stack from infrastructure and data systems to customer-facing applications
• Help define engineering standards architecture and product direction as the company scales

Ideal Candidate Background

Experience Requirements

• 28 years of experience building production software systems
• Experience shipping customer-facing products into production environments
• Strong ownership mentality and ability to operate independently
• Experience working in startups or high-ownership environments
• Demonstrated ability to take projects from concept through deployment
• Experience working directly with customers or operational stakeholders preferred
• Founder founding engineer quantitative or systems engineering experience highly valued

Technical Requirements

• Strong Python engineering skills
• Experience building production software systems
• Familiarity with AI/ML systems LLMs or agent-based architectures
• Experience designing scalable backend systems and APIs
• Strong understanding of data systems and operational workflows
• Experience with PostgreSQL data pipelines or cloud infrastructure preferred
• Exposure to reinforcement learning optimization or operations research is a plus
• Comfortable working across multiple technical domains and technology stacks

Education

• BS/MS in Computer Science Engineering Mathematics or related technical field preferred
• Strong technical fundamentals from rigorous academic or professional backgrounds

Soft Skills

• High ownership mentality
• Strong problem-solving and first-principles thinking
• Comfortable operating in ambiguity
• Excellent communication and collaboration skills
• Ability to work independently with minimal oversight
• Strong product intuition and customer empathy
• Excited by fast iteration and real-world impact

Preferred Backgrounds

• Early-stage startups
• Manufacturing technology companies
• Industrial software organizations
• AI infrastructure startups
• Operations research teams
• Systems engineering organizations
• Quantitative trading or optimization backgrounds
• Founding Engineer or startup founder experience

Compensation & Benefits

• Base Salary: $150000 $300000
• Competitive Founding-Stage Equity
• Significant ownership and influence over product direction
• Direct access to founders and customers
• Opportunity to work on real-world AI deployments
• Exposure to advanced manufacturing and industrial operations
• Small highly technical team environment
• Massive upside as an early employee
• Direct impact on company and product trajectory

Why Join

This is a rare opportunity to help build autonomous AI systems that directly operate real factories.

Youll work on technically challenging problems spanning AI agents operations research reinforcement learning distributed systems and industrial automation while seeing your work immediately impact production environments.

As an early member of a world-class engineering team youll have significant ownership over technical decisions product direction and customer outcomes while participating in meaningful equity upside as the company scales.