Union.ai

Lead product backlog prioritization and delivery of cloud-native software solutions with cross-functional teams. | Over 10 years of product management experience with technical proficiency in software development and cloud-native products, but no direct Kubernetes or infrastructure platform management experience. | About Us At Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. Flyte, the open-source project we steward, has emerged as the modern standard for data and AI orchestration, and is trusted by leading technology organizations including LinkedIn, Stripe, and Wayve to run millions of mission-critical workflows on the platform. These workflows comprise data preparation, model training, and scaled inference spanning thousands of GPUs, all major clouds, and on-premise infrastructure. We have a technical founding team who created Flyte while at Lyft, a deep bench of infrastructure experts from top companies, and have raised from top investors like NEA and Nava Ventures. The Role We are seeking a technical, customer-obsessed Product Manager to own the platform operator experience for Union: the end-to-end journey of how customers evaluate, deploy, configure, and operate Union in their Kubernetes and cloud/on‑prem environments. This is not an internal "platform PM" role. Your primary stakeholders are Platform Operators (customer AI/ML platform teams, SREs, and DevOps engineers) who are the first people to interact with Union while trialing, deploying, and managing the platform. Your charter is to make Union feel like it was designed with platform operators in mind - from the first CLI command, to a production-ready installation, to day‑2 operations and observability - while scaling sustainably across a growing deployment matrix. What You'll Own You will own the Union platform interface used by platform operators, including: • Evaluation & onboarding: local sandbox / quickstart flows, "first successful run" experience, installation prerequisites, and guided setup. • Distribution & packaging: the supported install surface (e.g., Helm chart interfaces, configuration model, versioning/upgrade story, validation, and release ergonomics). • Diagnostics & reliability tooling: CLI diagnostics, preflight checks, and logging that reduce time-to-resolution. • Operational observability: health and status views for the Union control plane and runtime path; clear mental models for clusters, namespaces, capacity, and workload placement. • Supported deployment matrix: deciding what we support (and how), then making it excellent - balancing flexibility with operational scalability. What Success Looks Like A successful PM in this role drives a visible step-change on three axes: • World-class onboarding + operations for platform operators Platform teams can go from "heard about Union" → "deployed safely" → "confident operating it" with minimal friction, clear docs, and crisp tooling. • A broader, clearer supported deployment surface area We expand where Union can be deployed reliably (across clouds/on‑prem and common enterprise environments) while reducing one‑off "snowflake" deployments. • A "paved road" that reduces friction and improves architectural efficiency We deliver default configurations that "just work" for mid‑market teams, while still allowing deep customization for large enterprises - and we reduce ongoing KTLO by turning recurring one‑offs into scalable abstractions. What You'll Bring Required Qualifications • Technical product management experience: 3+ years of PM experience on developer tools, infrastructure platforms, or deployment/distribution systems. • Strong platform and Kubernetes intuition: You can reason about real-world Kubernetes operations, packaging, upgrades, observability, and failure modes. • Product taste: A track record of shipping opinionated, high-craft, end-to-end experiences that delight technical users. • Engineering empathy: You build credibility with senior engineers and can drive alignment through clear specs and crisp tradeoffs. • Data-informed decision making: You use qualitative and quantitative signals to prioritize, measure success, and iterate. Preferred Qualifications • Experience shipping infrastructure products deployed into customers' clouds (BYOC) or on-prem environments. • Prior software engineering background in infra/platform/SRE/DevOps. • Experience designing "paved road" defaults alongside escape hatches for enterprise customization. • Experience building diagnostics, onboarding flows, and operator-grade observability for self-serve products. Benefits & Belonging At Union.ai we know that employees who feel their best can build amazing things and we are proud to offer best in class benefits that will continually evolve and grow as the needs of our employees do. Benefits may vary based on country. • Excellent medical - We pay 100% of your premiums and 90% for your dependents • Generous dental and vision plans- We pay 90% of the premiums for you and your dependents • Meaningful equity in the form of options - all employees are owners here • Unlimited time off + 12 company holidays • 401K match - Union.ai matches 100% of contributions up to the first 3%, and 50% up to 5% • 16 weeks paid parental leave for primary and secondary caregivers • Flexible work schedule (some restrictions apply) • For in office employees: Lunch provided onsite and well stocked kitchen with snacks and drinks. We believe that our differences are what bring us together to achieve truly special outcomes. We strive to be inclusive and focus on building teams that embody that quality too. Union.ai is an equal-opportunity employer and we encourage you to apply, even if your experience doesn't align exactly with our job description.

Act as the primary technical liaison for customers, ensuring successful adoption and optimization of AI infrastructure and workflows. | Extensive experience in technical roles involving AI, data orchestration, and customer engagement, with proficiency in Python and understanding of ML pipelines. | About Us At Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. Flyte, the open-source project we steward, has emerged as the modern standard for data and AI orchestration, and is trusted by leading technology organizations including LinkedIn, Stripe, and Wayve to run millions of mission-critical workflows on the platform. These workflows comprise data preparation, model training, and scaled inference spanning thousands of GPUs, all major clouds, and on-premise infrastructure. We have a technical founding team who created Flyte while at Lyft, a deep bench of infrastructure experts from top companies, and have raised from top investors like NEA and Nava Ventures. The goal of the AI Solutions Lead role is to be the primary liaison for our key customers, ensuring their successful adoption, implementation, and ongoing optimization of the Union Cloud platform and Flyte. Leveraging your deep expertise in AI workflows, data pipelines, and cloud environments, you will guide customers through complex integrations, provide training, troubleshoot challenges, drive product utilization, and translate their evolving business needs into actionable insights for our product and engineering teams. You will ensure stakeholders get maximum value from the platform. Your ability to build strong cross-functional relationships, anticipate requirements, and deliver proactive solutions will be pivotal in driving customer retention and expanding our platform’s value within their AI and data ecosystems. You’ll act as a strategic partner to users, helping them navigate evolving AI workflows while surfacing key insights that inform product development and roadmap priorities. You’ll collaborate directly with AI, ML and platform engineering teams, as well as technical decision-makers, to ensure seamless implementation, accelerate value realization, and build strong partnerships that support retention, expansion, and customer advocacy. In this role, you will: Own and drive strategic account plans focused on adoption milestones, usage expansion, and revenue growth in a land-and-expand model. Partner with internal technical teams to help customers design and optimize workflows for production-grade AI systems. Own end-to-end customers outcomes and value from Union. Guide customers through onboarding and integration, troubleshoot challenges, drive product utilization, and provide timely, effective expertise to resolve complex issues. Translate real-world challenges from customer environments into actionable feedback for our product and engineering teams. Track customer health, identify signs of friction or opportunity, and develop engagement strategies across both technical and executive stakeholders. Drive renewals and commercial growth by aligning our product capabilities with evolving customer needs and identifying upsell or cross-sell pathways. Facilitate technical enablement content creation—reference architectures, debugging guides, cookbooks, and tutorials—to scale your impact. Lead customer touchpoints such as roadmap sessions, architecture reviews, QBRs, and executive briefings to ensure we remain aligned with customer goals and value realization. Serve as the internal voice of the customer in planning, prioritization, and go-to-market alignment. About You: You’re excited to work at the intersection of AI infrastructure and customer outcomes—and are driven to own both the technical and commercial success of your accounts. 5+ years of experience in a technical role such as Solutions Engineer, Technical Account Manager, Solutions Architect, or ML/Data Engineer within a B2B devtools or platforms. You’ve worked closely with enterprise engineering and product teams—whether in customer success, solutions engineering, DevRel, or internal ML platform roles—and can credibly lead both architecture discussions and business reviews. You have at least design and architecture-level understanding of systems involving data processing, model training, serving, or monitoring. Experience in MLOps/LLMOps, machine learning pipelines, and data orchestration tools. Proficiency in Python, or genuine desire to learn, given its prevalence in data science. You’ve developed and executed account plans focused on growth through adoption, usage expansion, and product-led revenue—especially in a land-and-expand motion. You write clearly, speak thoughtfully, and can tailor your communication to both hands-on users and executive sponsors. You are curious, proactive, and self-directed—you seek ownership and are not afraid to experiment. You build trusted relationships quickly and are motivated by helping others succeed; you view the success of your customers as your own. Bonus: You’ve contributed to or participated in relevant AI or MLOps open-source communities, forums, or customer advocacy programs. Nice to Have Direct experience with Flyte (open-source or Union). Experience working with large enterprise customers. Prior experience at a startup or fast-growing technology company. Experience in pre-sales or post-sales technical consulting. Benefits & Belonging At Union.ai we know that employees who feel their best can build amazing things and we are proud to offer best in class benefits that will continually evolve and grow as the needs of our employees do. Benefits may vary based on country. Excellent medical - We pay 100% of your premiums and 90% for your dependents Generous dental and vision plans- We pay 90% of the premiums for you and your dependents Meaningful equity in the form of options – all employees are owners here Unlimited time off + 12 company holidays 401K match - Union.ai matches 100% of contributions up to the first 3%, and 50% up to 5% 16 weeks paid parental leave for primary and secondary caregivers Flexible work schedule (some restrictions apply) For in office employees: Lunch provided onsite and well stocked kitchen with snacks and drinks. We believe that our differences are what bring us together to achieve truly special outcomes. We strive to be inclusive and focus on building teams that embody that quality too. Union.ai is an equal-opportunity employer and we encourage you to apply, even if your experience doesn’t align exactly with our job description.