Product Engineer
Requirements at a glance
Product Engineer at AirOps is a full-time role based in New York City or San Francisco. The posting mentions 3+ years of experience. It does not mention visa sponsorship. Key skills include Python, Machine learning, and Generative AI. Applications are submitted through Ashby.
- Experience
- 3+ years (mentioned)
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- Ashby
Skills in this posting
- Python
- Machine learning
- Generative AI
Extracted automatically from the job description. Confirm details in the full posting below.
About AirOps
AirOps is the first end-to-end content engineering platform built for the AI era. In a world where discovery is shifting from traditional search to AI-driven platforms, we help brands get found—and stay found. We are currently in a phase of hyper-growth, having 5x’d our revenue in the last year by helping marketing teams at Ramp, Chime, Carta, and Rippling turn content quality into a durable competitive advantage.
Our platform equips marketers to navigate the new discovery landscape, prioritize high-impact opportunities, and create accurate, on-brand content that earns citations from AI and trust from humans. Backed by Greylock, Unusual Ventures, Wing VC, and Founder Collective, we are building the intelligent systems that will empower the next generation of marketing leaders. AirOps is headquartered in San Francisco, New York and Montevideo.
About the Role
AirOps is building the product content teams use to win in AI search — and this role is about turning hard problems into experiences people actually love. We’re hiring a Product Engineer to prototype quickly, ship customer-visible features, and iterate based on real feedback in days, not quarters.
You’ll work tightly with Design and Product, talk directly with customers, and help define what “great” looks like as we scale. If you have strong product taste, deep customer empathy, and love taking ideas from zero to one, you’ll be excited about this seat.
What you'll do:
Design, prototype, and launch AI-powered products that solve real user problems — from early concept through scaled feature
Direct customer engagement: understand needs, validate ideas quickly, and iterate based on what you learn
Cross-functional collaboration with product, design, and data teams to take features from idea to production at startup speed
Navigate ambiguity: define what to build when the path forward is not clear
Keep systems fast and reliable under real-world usage
Who you are:
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
Strong product taste paired with deep customer empathy
Thrives in ambiguous, fast-changing environments where requirements shift and customer feedback drives decisions
Outstanding communication skills across technical and non-technical audiences
Nice to haves
Excitement about AI and its application in product experiences
Experience working with Python and strong ML or LLM knowledge
Experience with evals
History of direct customer engagement
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
Parental Leave
A fun-loving and (just a bit) nerdy team that loves to move fast!