About Xenoss
Xenoss helps enterprises build, modernize and connect data platforms, develop AI products and tools and apply AI to business operations.
Our projects include real-time data systems, AI agents and multi-agent platforms, generative AI applications, enterprise knowledge systems, predictive models, process automation, cloud and data modernization, and high-load AdTech and MarTech platforms. We work with clients from discovery to production launch, scaling, and handover.
About the role
We are hiring a Senior Product Manager to own the product side of Xenoss client projects. You will often join when the business goal is clear, but the product and delivery path are not. Your job is to understand the problem, define a useful outcome, and give the client and engineering team a direction they can act on.
You will move between engagements over time. Most projects involve AI products, data platforms, enterprise automation, cloud or platform modernization, mostly for (but not limited to) AdTech and MarTech domains. You may join during presales or discovery, stay through an MVP or pilot, and continue into launch, productization, or scaling.
Production coding and solution architecture stay with the relevant specialists. You need enough technical depth to understand constraints, make sound product decisions, ask precise questions, and explain trade-offs to clients and engineers.
What you will own
Discovery and product direction
Lead discovery with client and internal stakeholders to define the problem, users, desired outcomes, value case, risks, and commercial constraints.
Choose the right approach — AI, data, automation, integration or conventional software — and define what a PoC, pilot or MVP must prove.
Set product direction through a phased roadmap, prioritized backlog, clear scope, acceptance criteria and success measures.
Product execution
Work with Solution Architects and technical leads on feasibility, delivery sequencing, dependencies, integrations and non-functional requirements.
Translate needs into actionable requirements and keep decisions, assumptions and scope changes clear as the product evolves.
Lead product validation, demos, UAT, release readiness and handover against agreed outcomes.
Define the measurement plan, including product KPIs and, where relevant, AI quality, cost, safety and reliability criteria.
Keep client, commercial and delivery teams aligned; support presales and solution shaping where a product perspective adds value.
What we’re looking for
5+ years in Product Management or Product Ownership for complex software products, with end-to-end responsibility from discovery through release and measurement.
Experience with B2B SaaS, enterprise platforms, custom software delivery, technology consulting, or another technically complex product environment.
Experience leading discovery and making decisions with senior client or business stakeholders.
Examples of turning an ambiguous business need into a strategy, MVP or pilot, roadmap, backlog, acceptance criteria, and shipped product.
Strong technical product knowledge across APIs, integrations, event and data flows, cloud and platform concepts, security, reliability, observability, and non-functional requirements.
Experience working with architects, engineers, QA, designers, data engineers or ML specialists while respecting their areas of responsibility.
Ability to define useful product and business metrics and use evidence to prioritize work.
Commercial judgment, including value, ROI/TCO, scope, dependencies and delivery constraints.
Strong written and spoken English, effectively C1, for client workshops, product documentation, decision records and executive communication.
Ability to work independently, think in a structured way, and learn a new domain quickly without losing precision.
Knowledge of AdTech, MarTech, or programmatic platforms, including areas such as DSPs, SSPs, ad serving, measurement, attribution, or campaig
