Founders: Ketan Umare, Haytham Abuelfutuh, George Snelling
Funding: $10M seed (2022); $19.1M Series A (2023); Series A total reported $38.1M (2026 disclosure)
Company Overview
Problem Domain
AI/ML workflow orchestration and productionization
Industry
Enterprise AI / Machine Learning Infrastructure
Tech Stack
Flyte
Kubernetes
Funding Track Record
Seed- April 12, 2022
$10M
Emergence from stealth to commercialize Flyte
Series A- May 17, 2023
$19.1M
Announced Union Cloud GA; participation from Nava Ventures
Series A (updated total)- February 25, 2026
$38.1M
Company disclosure reporting a Series A total of $38.1M with participation from Nava Ventures and Mozilla Ventures
Investor Signal
“Backed primarily by NEA and Nava Ventures, with later participation from Mozilla Ventures”
Founders
What we do
Join the Team
Forward Deployed Engineer
RemoteRemote (US), US
Remote • Remote (US), US
Who you are
5+ years of experience in a pre-sales or deployment-focused engineering role for a deeply technical product, ideally in AI, ML, or infrastructure. Early-stage startup experience is highly desirable
Strong engineering foundation, preferably in Computer Science, Mathematics, Physics, Software Engineering, or Machine Learning. Advanced degrees are a plus
Hands-on experience with data processing, machine learning systems, MLOps, and production-grade AI pipelines, including frameworks like PyTorch, TensorFlow, HuggingFace, LangChain, DSPy, scikit-learn, and related tooling
Proficiency in coding and scripting (Python, TypeScript, Java, Bash, etc.)
Working knowledge of distributed systems, cloud platforms (AWS, GCP, Azure), infrastructure as code (Terraform, CloudFormation), containers (Docker, Kubernetes), and CI/CD pipelines
Comfortable in client-facing roles, translating technical concepts into actionable solutions and providing thought leadership
Strong problem-solving skills, able to own complex technical projects end-to-end, and thrive in high-volume, ambiguous environments
Excellent communication and collaboration skills across technical and non-technical stakeholders
Willingness to travel to customer sites and conferences as needed (Expect 25% travel)
What the job involves
Benefits
401K Match: Union.ai matches 100% of contributions up to the first 3%, and 50% up to 5%
Unlimited PTO + 12 paid holidays
Generous parental leave for either caregiver
Comprehensive paid medical, dental and vision plans for you and your dependents
Your company laptop is yours to keep after 2 years — we will replace it with a new one
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As a Forward Deployed Engineer, you will combine strong technical expertise with customer advisory skills to define, implement, and operationalize AI/ML applications, bridging the gap between research and production
You’ll engage strategically with clients, understanding complex business problems and architecting sophisticated solutions that integrate next-generation AI workflows such as Flyte
This hands-on role offers ownership of high-impact, strategic projects, end-to-end, solving real-world challenges while contributing insights back to the broader AI product strategy
You'll work directly with prospects and customers to review their AI/ML applications and provide guidance, including both architectural and hands on programming
Develop and deploy cutting-edge AI/ML solutions, including GenAI workflows, LLMs, RAG, multi-agent systems, and fine-tuning pipelines
Drive adoption of Union by leveraging hands-on experience in building demonstrable use cases, troubleshooting workflows, and showcasing platform value to prospective customers
Own the technical success of trials and production deployments by delivering on prospects’ success criteria and connecting the dots between business value and technical outcomes
Engage at all levels of technical stakeholders to drive technical debates and design choices with mid-market and enterprise customers
Serve as a trusted technical advisor, translating complex AI concepts into actionable solutions and influencing both product and customer strategy
Contribute to technical qualification of opportunities by pairing customer needs to key features and unique selling propositions
Represent the product at field events such as conferences, seminars, and workshops
Actively support Union users with onboarding, workflow implementation, debugging problems, and operational best practices
Dive deep into competitive and complementary technologies to better position Union during critical negotiations
Influence internal product roadmap and strategy by sharing field learnings and contributing to cross-functional initiatives
