A

Air

Subscription-based digital asset management for marketers

Forward Deployed Data Scientist

Full-TimeUpdated on 10/21/2026
No salary listed
Junior
Bachelor's
Remote in USA+2 moreMore locations: Arlington County, Arlington, VA, USA | Pittsburgh, PA, USA
HybridMay require up to 60% travel.
Software EngineeringAI Application Engineering
No H1B Sponsorship
US Citizenship Required

About the job

Requirements
  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field, or equivalent work experience.
  • At least 1 year of experience delivering data science, machine learning, or artificial intelligence solutions into a production software system.
  • Ability to translate customer problems into technical artificial intelligence requirements.
  • Experience integrating artificial intelligence and data science solutions into agentic frameworks.
  • End-to-end ownership of client problems.
  • Ability to work independently with little supervision.
  • Ability to communicate with both non-technical and technical users.
  • Ability to collaborate with cross-functional teams for production deployment.
Responsibilities
  • Spend time onsite with users, listening to problems and asking questions to understand pain points.
  • Collaborate with software engineers, implementation engineers, designers, and product managers to scope, architect, and deliver zero-to-one product initiatives, prototypes, and solutions.
  • Build and deliver working, customer-facing prototypes.
  • Assess, prioritize, and correct important gaps in prototype solutions under development based on user feedback.
  • Iterate rapidly on solutions and prototypes.
  • Conduct customer site visits to diagnose and understand pain points.
  • Translate vague customer needs into concrete artificial intelligence workflows and data science solutions.
  • Develop new artificial intelligence and data science solutions and use existing solutions to solve customer problems.
  • Rapidly prototype artificial intelligence models, systems, heuristics, and agentic solutions.
  • Evaluate solution effectiveness with customers, tune solutions, and redefine them when needed.
  • Take end-to-end ownership of client problems.
  • Work with cross-functional forward-deployed teams to build end-to-end solutions in production deployments.
  • Collaborate with artificial intelligence platform and agentic artificial intelligence teams to generalize capabilities into reusable agentic artificial intelligence features and skills for other deployments.
  • Wrap artificial intelligence and data science solutions into agentic artificial intelligence frameworks and skills.
  • Craft clean, testable, and maintainable code.
Desired Qualifications
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment.
  • Experience working within the boundaries of a federally accredited software environment.
  • Experience working in a customer-facing or consulting role.

About the company

Air Inc. provides digital asset management software that helps marketers and creatives organize, find, approve, and share digital content. Its core product automates asset organization, search, approval workflows, and sharing within a subscription-based platform, enabling teams to collaborate more efficiently. The company differentiates itself through workflow automation and a community-driven approach, offering a Beta and Research program where users test features and influence development, and by supporting social initiatives (donating 100% of merchandise profits to the Red Hook Initiative). Air Inc.'s goal is to boost productivity for marketing and creative teams while building a collaborative user community and supporting social causes.

Company Size

201-500

Company Stage

Series B

Total Funding

$70.5M

Headquarters

New York City, New York

Founded

2017

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Simplify's Take

What believers are saying

  • Air launched its largest product update on March 24, 2026, adding Canvas and Agentic Chat.
  • Air says over 3,000 businesses and 250,000 users already use its platform daily.
  • The March 2026 release targets a painful bottleneck: teams scaling approved creative across channels.

What critics are saying

  • Adobe, Bynder, and Canto bundle similar AI workflow features, squeezing Air’s pricing power by 2027.
  • Air’s March 24, 2026 free-plan relaunch and free AI tools weaken monetization and upgrade urgency.
  • If generative suites absorb asset management, Air becomes a niche DAM and loses platform status.

What makes Air unique

  • Air turns approved assets into editable, on-brand outputs with Context Layer, Canvas, and Agentic Chat.
  • Air combines DAM, approvals, and creative production in one visual workspace for 3,000 brands.
  • Air’s AI auto-tags, searches, and scales content around existing libraries, not blank-canvas creation.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Disability Insurance
  • Home Office Stipend
  • Professional Development Budget
  • Unlimited Paid Time Off

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

8%
VeriSwarm Inc.
Sep 15th, 2026
Agent certification is a photograph. Trust is the film.

Agent certification is a photograph. Trust is the film. In the space of about one week this September, agent vetting stopped being a niche concern and became an industry. At Fal.Con on August 31, CrowdStrike launched its AI Partner Specialization, including a Verified Agent certification that validates partner-built agents against CrowdStrike's requirements before they're published to its marketplace. The next day, a startup called AIR emerged from stealth with $50 million - two seed rounds, led by Sequoia and Greenoaks - to discover the agents running inside companies and vet the skills and add-ons those agents load. Tenable shipped an AI Inspector for vetting third-party agents in the same news cycle. The vetting economy is here. Good. Somebody needed to build it. Now let's talk about what a certification badge actually is: a photograph. A statement that on a particular day, under particular conditions, an agent (or a skill, or an MCP server) looked clean to a particular reviewer. That statement is useful. It is also the beginning of a trust story, not the end of one - and the companies selling certification will tell you so themselves, if you listen closely. Start with AIR's numbers. The company says it filters out roughly 27% of the agent skills and add-ons it finds online - a striking figure on its own. But the more interesting detail in their pitch is what they do after approval: AIR continuously re-evaluates components, because a skill that passed review can turn hostile later. Dependencies change. Developer accounts get compromised. The thing you certified in September is not reliably the thing executing in your environment in October. AIR's CEO Yair Saban frames the problem as a signing gap: "Every time you install a driver, you see a signature saying who signed it... You don't have that with skills or plug-ins or MCPs." He's right. But notice what even a perfect signature gives you: provenance. Who built it, and whether it's been altered. A signature has never told anyone what the signed thing will do with production credentials at 3 a.m. on a Saturday. Meanwhile, the enterprises deploying these agents are far behind even the photograph stage. Okta's AI Agents at Work 2026 report - surveying 292 executives and 492 knowledge workers across seven countries - found that only 34% of organizations apply the same security controls to their agentic workforce as their human one, and 58% of executives reported an AI-related security issue or close call in the past year. Certification programs will raise the floor here, and they should be welcomed for it. A marketplace that rejects a quarter of what it inspects is doing real work. Three ways a photograph fails. The gap between certification and trust isn't a marketing distinction. It's structural, and it fails in three specific ways. Drift. The certified artifact changes after certification. Supply-chain attackers have fully internalized this: compromise the update channel, not the initial release. The badge stays green the whole time. This is precisely why AIR re-scans continuously - point-in-time review is a known-insufficient control even to the people selling it. Context. Certification happens in a lab; deployment happens in your tenant. A "verified" agent tested with sandbox permissions is a different risk object once it holds your production API keys, your customer data access, and delegation authority over three other agents. No third-party reviewer certified that configuration, because no third-party reviewer has seen it. Behavior. This is the one that matters most. The failure modes that actually burn agent operators - memory poisoning, goal drift, prompt-injected tool misuse, an agent quietly widening its own scope - are runtime phenomena. They don't exist at inspection time. They exist in the event stream: the sequence of tool calls, refusals, escalations, and anomalies an agent produces while working. A badge cannot see an event stream. By definition, it was issued before the stream started. Certification is an input. Trust is a computation. Here's the model VeriSwarm think the industry lands on, because it's the only one that closes all three gaps: treat certification as one signal feeding a live trust score, not as a substitute for one. That's how VeriSwarm is built. Passport handles the photograph layer properly - signed manifests, ES256-signed portable credentials, explicit delegation chains - so an agent's provenance and claimed capabilities are cryptographically checkable, and a marketplace certification can ride along as an attestation. Identity and provenance, done right, are the prior. Then Gate runs the film. Gate ingests the agent's actual behavior as events and maintains a continuous trust score against policy tiers - so a certified agent starts with a better prior, and then its score moves with what it does, not what it once was. Drift shows up as scoring anomalies. Context is handled because the score is computed on your deployment's events, not a lab's. And when behavior falls off a cliff, the decision layer doesn't file a finding for next quarter's review - Guard's kill switch ends the session now, and the whole episode lands in Vault's hash-chained audit ledger for the postmortem. Certification answers "should this agent be allowed in the building?" Trust scoring answers "should it still be in the building, right now, doing that?" You need both questions answered, continuously, and only one of them can be outsourced to a badge. The vetting economy that arrived this month is real progress - it means the market has accepted that agents are a supply chain, with a supply chain's failure modes. The next step is accepting that agents are also a workforce, and nobody manages a workforce with a photograph taken on hiring day. Gate is VeriSwarm's always-on foundation - trust scoring starts free. Point your agents' events at it and find out what your certified agents have been doing since the photo was taken.

ExecutiveBiz
Aug 5th, 2026
Air appoints Anduril president & chief business officer Matthew Steckman to board of directors.

Air appoints Anduril president & chief business officer Matthew Steckman to board of directors. * Matthew Steckman, president and chief business officer of defense technology company Anduril, has joined the board of directors of Air * Air CEO Tara Murphy Dougherty said Steckman's expertise in defense technology will be valuable to her organization * His appointment comes less than a week after Dave DeWalt was named a member of the board Air announced Tuesday that it has named Matthew Steckman to its board of directors. Steckman, a Wash100 Award winner, currently serves as president and chief business officer of defense technology company Anduril. "Matt has been at the center of the defense tech revolution, taking game-changing innovation from vision to scale," said Tara Murphy Dougherty, CEO of Air. "As Air accelerates to meet urgent readiness challenges and immense market demand, his unparalleled expertise as a successful operator in this space will be invaluable to the next phase of our growth." What is Steckman's professional background? Steckman has been at Anduril for over eight years. He has helped guide the company's strategic direction while working to maintain operational efficiency across its growing set of defense and security offerings. Before joining Anduril, Steckman was chief revenue officer at Zipline, which offers a drone delivery service focused on medical and blood product transport. He also spent time in leadership positions at Palantir, where he managed internal business operations and maintained relationships with some of the company's largest customers. "Real-time readiness is a critical challenge in national security today, and Air has built a category-defining platform to address it," said Steckman. "Having spent my career scaling hyper-growth defense tech, I couldn't be more excited to join Tara and the team to expand Air's footprint and execute on this vital mission." Who else has recently joined Air? Steckman's addition to Air's board comes less than a week after Dave DeWalt, CEO of NightDragon, became a member of the board. The company also tapped retired U.S. Air Force Lt. Gen. Tom Miller as a senior adviser in June. Shortly after the company rebranded from Govini to Air, it hired David Kensick from ID.me as its chief operating officer.

Defence Industries
Jun 30th, 2026
U.S. Army extends its partnership with Air on NGC2 initiative.

U.S. Army extends its partnership with Air on NGC2 initiative. 30 June 2026 Air, the leader in Enterprise Readiness, today announced that the U.S. Army has extended its partnership with the company to continue supporting the service's Next Generation Command and Control (NGC2) initiative with Air Enterprise Readiness, the AI-native system that closes the gap between what the frontline needs and what the national security enterprise can deliver. As part of this ongoing partnership, Air will directly participate in upcoming field exercises during the Army's Project Convergence Capstone 6 (PCC6) experiment at Fort Irwin, California this summer. Air has been a partner with Anduril on the NGC2 team since its inception. "This award underscores the Army's continued confidence in Air Enterprise Readiness, our AI-native platform, and its unique ability to accelerate warfighter readiness," said Tara Murphy Dougherty, CEO of Air. "By modernizing sustainment for NGC2, Air is collapsing the distance between the factory and the fight, ensuring needed supplies and materiel reach warfighters at the edge ahead of need." Air transforms battlefield activity into continuous demand signals and leverages its agentic AI architecture to provide predictive insight into inventory, combat power, and combat strength. This shift from reactive to predictive logistics directly addresses the Army's most persistent sustainment challenges and provides the information needed to enhance readiness and lethality. In the latest iteration of its support to NGC2, Air was on the ground in Colorado at the Ivy Mass exercise in May 2026, where the Enterprise Readiness platform has been deployed with the 4th Infantry Division (4ID) - the Army's designated prototyping division for modern command and control - to operationalize predictive logistics as part of the Army's NGC2 initiative. By replacing manual spreadsheets and whiteboards with the Enterprise Readiness platform, 4ID is moving from reactive planning to real-time execution. The platform predicts fuel and ammunition demand, automates resupplies, and tracks combat readiness. It also manages critical frontline data in real time, from personnel and equipment replacements to casualty reports and medical evacuations. Ultimately, Air's predictive modeling shrinks complex division planning cycles from days to minutes. This summer, Air will participate in PCC6, a concept-driven experiment utilizing live, virtual, and constructive environments to test future concepts, capabilities, and formations for the Army, Joint Force, and Multinational allies and partners. PCC6 brings together a diverse range of warfighting systems and personnel to enhance lethality, agility, and survivability through the integration of emerging technologies. Successful technology demonstrations at PCC6 will help inform and drive formal Programs of Record for follow-on fielding across the force. As the Department of War (DoW) embarks on a sweeping modernization initiative, Air's AI-native platform is proving to be the essential connective tissue between the industrial base and operational deployments, accelerating the delivery of new systems to the warfighter while improving sustainment and maintenance to enhance frontline readiness and lethality.

Complete AI Training
Apr 10th, 2026
Air CEO raises $70M betting AI won't replace creative professionals

Air CEO Shane Hegde published a handwritten letter in the New York Times arguing AI will never replace creative professionals, listing his personal mobile number for anyone who disagreed. This comes as his company has raised $70 million to build AI tools for creative teams. Hegde's central thesis: machines find patterns and recommend common answers, but lack the creative inefficiency and risk-taking that produces great work. He positions Air as automating logistics like file management and approvals whilst preserving human judgment in creative decisions. Founded in 2017, Air targets companies scaling creative output. Nearly all product resources have shifted toward AI-centric features. Hegde maintains humans will remain essential for the "zero-to-one moment" in creative work, though he acknowledges creative professionals face declining freelance rates as routine tasks become automated.

Ad Age
Mar 26th, 2026
Air debuts AI tools with handwritten ad saying they'll never replace creatives.

Air debuts AI tools with handwritten ad saying they'll never replace creatives. Last Updated March 26, 2026 10:00 AM EDT Air, the creative operations platform, is introducing new AI tools for creatives with a handwritten New York Times ad featuring a somewhat counterintuitive message: a mini-manifesto emphasizing AI's limitations.