Product Engineer
About AirOps
Today thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.
We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.
We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.
About the Role
We're looking for a Product Engineer to build product experiences that people love. You'll collaborate across design, product, and engineering to rapidly prototype and ship magical experiences.
You'll work with people who are not only technically excellent but who care deeply about delivering something outstanding - and who move with urgency to get it in customers' hands.
Responsibilities
Design, prototype & launch AI-powered products that solve real user problems - from early concepts to scaled features
Work directly with customers to understand their needs, validate ideas quickly, and iterate based on real feedback
Collaborate with product, design, and data teams to take features from idea to production at startup speed
Navigate ambiguity to define what to build when the path forward isn't clear
Stay on top of research and identify opportunities to ship magic to users
Keep systems fast and reliable under real-world usage
Required Qualifications
3+ years building products that people love, with demonstrated experience taking ideas from zero to one
Track record of shipping quickly while maintaining quality - you know when to move fast and when to be thorough
Thrive in ambiguous, fast-changing environments where requirements shift and customer feedback drives decisions
Strong sense of product taste paired with deep customer empathy
Outstanding communication skills
Preferred Qualifications
Excited about all things AI
Experience working with Python
Strong ML/LLM knowledge
Experience with evals
History of direct customer engagement and interactions
Our Guiding Principles
Extreme Ownership
Quality
Curiosity and Play
Make Our Customers Heroes
Respectful Candor
Benefits
Equity in a fast-growing startup
Competitive benefits package tailored to your location
Flexible time off policy
Generous parental leave
A fun-loving and (just a bit) nerdy team that loves to move fast!
Average salary estimate
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