All Levels: Product Engineer (AI)

Location: Onsite in the San Francisco Bay Area or Los Angeles (Torrance), United States; occasional travel to customer and operator sites is required.

Salary: $223,000–$359,000 per year, plus equity.

Company

hirify.global builds autonomous factories and a Factory-as-a-Service platform using AI, software, robotics, and full-stack manufacturing for aerospace and defense production.

What you will do

• Build and ship full-stack products from empty repositories to production for users running mission-critical manufacturing programs.
• Own product areas end to end, from user discovery and ambiguous requirements through design, launch, and iteration.
• Design architectures, services, APIs, and data models, document technical decisions, and manage tradeoffs.
• Talk directly with users and observe their workflows to identify the underlying problems worth solving.
• Ship quickly while maintaining readable, tested code and feed successful requirements into the core platform.

Requirements

• Deep software engineering experience, including shipping full-stack applications, working in large codebases, and technical leadership of critical projects.
• Strong system design skills covering scalable services, APIs, and data models.
• Strong product intuition, a 0-to-1 track record, and comfort working in ambiguous environments.
• Ability to work directly with users, translate customer needs into shipped software, communicate tradeoffs clearly, and challenge requests that do not match the underlying problem.
• AI-native workflow: use AI throughout the development process and demonstrate how it increases effectiveness.
• No prior aerospace, defense, or manufacturing experience is required.
• Must meet applicable ITAR eligibility requirements: be a U.S. citizen or national, lawful permanent resident, protected individual, or eligible to obtain the required U.S. Department of State authorizations.

Nice to have

• Founder or founding engineer experience taking a new product from 0 to 1.
• Product ownership without a PM or experience combining engineering and product management.
• Experience building workflow tools or data-heavy applications for operations teams.
• Forward-deployed, solutions engineering, or technical consulting experience with customer-specific environments.
• A visible body of work, such as a strong GitHub presence or projects shipped outside of work.

Culture & Benefits

• Full-time employment with medical, dental, vision, and life insurance plans.
• 401(k), equity, and a flexible vacation policy.
• Relocation support may be provided in certain situations based on business need.
• Work is primarily office-based, with occasional customer-site visits but no heavy travel or long deployments.
• AI-assisted recruiting tools may be used, while candidate evaluations and hiring decisions remain human-led; interview recording requires advance notice and allows opting out.