Forward Deployed Product Engineer
$117,500–$157,500 year
HybridGlendale, California, United States or Burbank Los Angeles County, California, United States
Job Summary
Build and ship AI-powered features from problem definition through production, partnering with stakeholders across Marketing, Finance, Parks Operations, and HR to define what is worth building. Own the user experience, including workflows, interfaces, automation, and human-in-the-loop decisions, while using tools like LLM APIs, prompt design, RAG, and agents to solve problems effectively. Test changes before launch using regression checks and evaluation methods, then contribute reusable code and explain technical tradeoffs to business teams. Work in office Monday to Thursday in Burbank, CA. This early-career builder role on a small team focuses on delivering working products quickly to real users.
Required Qualifications
- Minimum 3 years of experience shipping software products for real users
- At least 1 year shipping AI-powered features in production
- Experience with modern AI development tools and methods, such as prompt design, agents, RAG, LLM APIs, and evals
- Daily or frequent use of AI coding tools such as Cursor, Claude Code, or similar tools
- Ability to read and reason about code, debug with teammates, and work with data using SQL, APIs, or basic transformations
- Strong product and business judgment, with experience connecting features to user needs and business outcomes
- Strong learning agility and comfort working with new tools and changing technology
- Ability to communicate clearly with senior stakeholders
- Bachelor's degree and/or equivalent work experience
Desired Qualifications
- Experience as a product manager, designer, operator, engineer, founder, or builder who has used AI tools to create working products
- Experience building AI products without a dedicated engineering team
- Forward-deployed engineering or similar experience
- Strong design-engineering instincts and ability to ship polished user experiences
- Experience working across multiple business areas such as media, parks, retail, operations, HR, or finance
- Experience with evaluation methods such as golden sets, trace analysis, LLM-as-judge, or production eval pipelines
- Strong writing skills for documentation, retrospectives, and technical decisions
- Experience with enterprise-scale data, legacy systems, or complex stakeholder environments
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