Venn Logo

Venn

Forward Deployed Engineer

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in U.S.
Senior level
Remote
Hiring Remotely in U.S.
Senior level
Embed with enterprise clients to identify high-value problems, design and ship end-to-end AI-powered solutions on Venn's platform, own outcomes, and scale successful work across customers.
The summary above was generated by AI
About Venn

Venn is a fast-growing technology company transforming the relationship between renters and multifamily operators. Our platform connects every aspect of apartment living - rent payments, events, services, maintenance, and community engagement - creating a lifestyle co-pilot for residents and an engagement engine for operators.

For operators, Venn is more than an app: we sit at the center of their business as the data warehouse, centralization layer, and semantic layer,  the operational brain of the organization. That position gives us visibility into operations, marketing, and finance data that almost no other company has, and lets us deliver personalized experiences at scale, drive long-term loyalty, and unlock new revenue opportunities.

We're trusted by industry leaders like Related Companies, Bozzuto, and Kairoi, and we're scaling fast. Our ambition is to be the market's defining Resident Operating System - we're not just building software; we're redefining how people experience home.

About the Role

As a Forward Deployed Engineer, you'll embed directly inside one of our enterprise clients as their AI transformation partner. You'll sit with their operations, marketing, and finance teams, find the deepest pain points in the business, and ship solutions in near real time.

The role works like a hands-on startup CTO operating inside a large organization: you'll walk into an ambiguous problem space, figure out what matters, build it, ship it, and own the outcome, with the leverage of Venn's platform, data position, and engineering organization behind you.

What You'll Do

Embed with the client. Go deep on their organization, stakeholders, tech stack, and business model to find where the highest-value problems live, and win trust fast by solving the most urgent one first.

Build and ship independently. Design, build, and release solutions end-to-end on top of Venn's platform and the client's centralized data. 

Shape the roadmap. Work directly with client stakeholders to decide what gets built first, second, and third, then execute it yourself.

Own the outcome. Bring your learnings to the product team and scale your solutions beyond the first client.

Requirements
  • You've scoped and built products from 0 to 1 in ambiguous environments. 
  • You’ve built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience.
  • You simplify complexity and make fast, sound decisions under pressure.
  • You communicate clearly with engineers, product teams, and customer stakeholders.
  • You spot risks early and adjust without slowing down.
  • Ability to travel up to 25% to work on-site with clients. 
Nice to Haves
  • Experience as a founder or in a forward deployed engineering role.
  • A technical degree in CS, engineering, math, or a related field.
  • Engineering or technical deployment experience that includes customer-facing work.
  • Experience driving technology adoption inside large enterprises.
  • Demonstrated proficiency writing and reviewing production-grade code across frontend and backend using Python, JavaScript, or comparable stacks.
HQ

Venn New York, New York, USA Office

12 Vestry St, New York, New York, United States, 10013

Similar Jobs

12 Days Ago
In-Office or Remote
100K-180K Annually
Mid level
100K-180K Annually
Mid level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Customer-facing technical engineer supporting sales and onboarding for Runpod's AI cloud. Troubleshoot escalated issues, build POCs, collaborate with engineering and product, create documentation, and train customers to ensure smooth deployment and operation of AI workloads.
Top Skills: Ai/MlDjangoDnsDockerFlaskGoGpuHTTPHttpsJavaScriptLinuxLlmMongoDBMySQLNode.jsPostgresPythonPyTorchReactRunpodSshTcp/IpUbuntu
Yesterday
Easy Apply
Remote or Hybrid
US
Easy Apply
Mid level
Mid level
Artificial Intelligence • Machine Learning
Embed with life sciences customers to build and deploy production-grade AI/MLOps solutions on the Domino platform. Deliver end-to-end ML workflows, cloud and Kubernetes integrations, GPU workloads, monitoring, and reusable playbooks. Advise technical and business stakeholders, translate field feedback to product teams, and own customer engagements from onboarding through strategic scale.
Top Skills: Agent FrameworksAksAWSAzureBashDockerDominoEksGCPGenerative AiGkeGpuKubernetesMlopsPythonRSQL
2 Days Ago
Remote or Hybrid
2 Locations
167K-264K Annually
Expert/Leader
167K-264K Annually
Expert/Leader
Cloud • Information Technology • Security • Software • Cybersecurity
Embed with strategic enterprise customers to architect and implement complex cloud and web infrastructure migrations. Provide technical leadership on application and network security using Cloudflare Workers and Terraform, act as liaison to product and engineering teams, drive AI/LLM-enabled solutions, and remain a long-term trusted advisor for SASE and network security initiatives.
Top Skills: Cloudflare WorkersSaseSlackTerraformWorkers AiZero Trust

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