About the Role
We’re building the AI-powered systems that drive how our GTM organization sells, prioritizes, and engages customers. Our flagship internal platform is an AI revenue engine embedded directly into Salesforce that combines predictive scoring, generative outbound, account intelligence, and automated workflows to help hundreds of sellers work smarter across AMER, EMEA, APAC, and Japan.
We’re looking for a Product Owner who will take hands-on ownership of this platform and our broader GTM AI systems portfolio. You’ll own the backlog, drive cross-functional execution, and ensure our AI systems are trusted, adopted, and continuously improving. This role sits at the intersection of Product, Sales, RevOps, Data Engineering, and AI—and requires someone who can translate complex technical details.
This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements.
What you’ll achieve:
- AI Revenue Engine — Day-to-day product ownership of our Salesforce-embedded intelligence platform: scoring models, account POVs, generative email, contact sourcing, and signal-to-action workflows.
- GTM AI Systems Portfolio — Expand and maintain a growing ecosystem of AI-driven GTM tools including auto-outbound pipelines, meeting prep, deal assist, churn early warning, and enablement surfaces.
- Backlog & Roadmap Execution — Manage the product backlog end-to-end: write specs, prioritize ruthlessly, run sprint ceremonies, and ship iteratively with engineering.
- Cross-Functional GTM Alignment — Serve as the connective tissue between Sales, CS, RevOps, Data, and Engineering. Translate seller feedback into system improvements.
- Adoption & Enablement — Own adoption metrics, build enablement materials, run regional rollouts, and ensure global teams (including localized markets) are getting value.
- Prompt & Output Quality — Maintain and iterate on LLM prompts powering email generation, scoring justifications, and AI-generated account intelligence. Ensure output quality, tone, and accuracy.
- Data Model & Systems Integrity — Work across Salesforce, Databricks, Workato, and Outreach to ensure data flows are clean, logic is sound, and automations are reliable.
About you:
- 5+ years in a Product Owner, Product Manager, or Revenue Technology role within a B2B SaaS GTM organization.
- Strong working knowledge of Salesforce (objects, flows, permission sets, embedded components).
- Experience with at least one data/automation stack (e.g., Databricks, Workato, SnapLogic, Airflow, dbt) — you don’t need to build pipelines, but you need to read and reason about them.
- Comfort with AI/LLM systems: prompt engineering, output evaluation, understanding model behavior and limitations.
- Proven ability to write clear specs, BRDs, and acceptance criteria that engineering can ship from.
- Track record of driving adoption of internal tools or platforms across global teams.
- Excellent cross-functional communication — you can speak to a seller at SKO and present a technical architecture to an engineering lead in the same day.
- Experience with outbound sales tooling (Outreach, SalesLoft, Clay) or intent data platforms (6sense, Bombora, ZoomInfo).
- SQL proficiency for ad-hoc analysis, signal validation, or scoring model QA.
- Familiarity with revenue scoring models (propensity, intent, engagement) and the tradeoffs involved.
- Experience with global/localized rollouts (EMEA, APAC, Japan) — understanding that “one-size-fits-all” doesn’t work.
- Background in enablement, GTM strategy, or sales operations.