AirOps Logo

AirOps

Forward Deployed Engineer

Reposted 12 Days Ago
In-Office or Remote
Hiring Remotely in New York City, NY, USA
Mid level
In-Office or Remote
Hiring Remotely in New York City, NY, USA
Mid level
The Forward Deployed Engineer at AirOps will build AI workflows, collaborate cross-functionally, analyze metrics, and enhance customer engagement processes.
The summary above was generated by AI
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

If you want to build where the action is — real customers, real problems, real product impact — this role is for you. As a Forward Deployed Engineer at AirOps, you’ll sit at the intersection of product, growth, and customer success, rapidly building AI workflows we use internally and then productizing them for customers across verticals.

You’ll move fluidly between execution and strategy: shipping in days, learning from live feedback, and turning “this worked for one customer” into “this scales for hundreds.” It’s a high-ownership seat for someone excited to shape how AI actually gets applied in the real world.

  • What you'll own

  • Build AI growth workflows using AirOps for internal use and customer-facing productization across verticals

  • Partner with Growth, Marketing, Sales, and Product to build templates and workflows aligned to product launches and expansion opportunities

  • Use the AirOps platform to improve internal and customer-facing processes and prove out new use cases

  • Monitor key metrics closely: analyze trends, identify patterns, and report findings and recommendations to the exec team

  • Test the product and provide structured feedback to improve customer experience and usability

What you'll bring

  • 2 to 6 years in Growth, BizOps, Product, Technical Account Management, Analytics, Solutions Engineering, or a similar role at a high-growth startup

  • Hands-on experience with LLMs and AI techniques including prompt engineering and retrieval

  • Experience automating processes with workflow automation tools such as Zapier

  • Strong analytical skills with a track record of using data to inform decisions

  • Excellent project management skills and proficiency with tools like Linear, Airtable, or Asana

Nice to haves

  • Familiarity with Python and JavaScript

  • Former founder or operator experience

  • Strong interest in the intersection of AI and growth

Our Guiding Principles
  1. Extreme Ownership

  2. Quality

  3. Curiosity and Play

  4. Make Our Customers Heroes

  5. 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!

Similar Jobs

11 Days Ago
Remote
United States
165K-350K Annually
Mid level
165K-350K Annually
Mid level
Artificial Intelligence • Legal Tech
Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.
Top Skills: APIsLlmsPythonSdksTypescriptWebhooksWorkflow Automation
An Hour Ago
In-Office or Remote
New York, NY, USA
181K-248K Annually
Senior level
181K-248K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads design decisions, implements data pipelines, integrates ML/AI models, ensures secure scalable deployments, provides technical guidance, and delivers measurable outcomes while contributing reusable assets and supporting customer adoption.
Top Skills: Ai ApisSparkAWSAzureCi/CdDatabricksGCPJavaScriptMlopsPythonScalaTypescript
Senior level
Information Technology • Software
Embed with client teams to diagnose operational friction, redesign operating models, and build AI-powered proofs of concept. Map workflows, establish governance and measurement frameworks, scope engagements, drive adoption, and deliver working prototypes to demonstrate measurable business value.
Top Skills: AILlm ApisLow-Code PlatformsNo-Code PlatformsSaaS

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account