Help us deliver real AI, at scale
LoopMe's Data Science team builds production-grade AI that powers campaigns for brands like Nike, Amazon and Samsung — in real time, at massive scale. We’re looking for a Middle Project Manager to drive sprint delivery across multiple squads, steer our 12-month roadmap, and keep everyone coordinated with Engineering, Product and the wider business.
You’ll work closely with our Chief Data Scientist and lead delivery for a high-trust team that has a 5-star Glassdoor rating.
This is a role with real visibility and impact — and a culture that actually values process done well.
What you'll do
- Run agile delivery: lead sprint planning, daily standups, and retrospectives across 3–4 cross-functional data science squads
- Manage the roadmap: keep the 12-month project plan alive and aligned with Product, Data Engineering, and Go-to-Market
- Unblock teams: chase down dependencies, escalate blockers, and keep momentum high across time zones
- Support releases: coordinate release schedules, track bugs and rollout issues, and help QA stick the landing
- Continuously improve: introduce light-touch processes and rituals that help the team focus on shipping
What you bring
- 2+ years’ experience delivering software or data science projects in an agile environment
- Strong practical knowledge of Scrum or Kanban, plus confidence running multi-team delivery (e.g. multiple backlogs, overlapping stakeholders)
- Excellent communication skills — able to work smoothly with engineers, data scientists, and external teams alike
- Technical fluency — you’re not coding, but can follow a discussion on APIs, pipelines, or ML A/B testing
- Confident spoken and written English (our standups and sprint docs are in English)
Bonus if you have:
- Experience with adtech, big data systems, or AI/ML products
- Background in QA, data analytics, or engineering
- Jira fluency — dashboards, epics, filters, you name it
About the Data Science Team
We’re a 20-person team of data scientists, ML engineers, and Java developers building production AI for real-world use — not research experiments. We’re distributed across London, Poland, and Ukraine, and we act like one team, not a satellite office.
What sets us apart:
- Led by Leonard Newnham, an experienced Chief Data Scientist who codes, leads, and listens
- Strong culture of autonomy, collaboration, and pragmatism — no micromanagement, no drama
- Open to new ideas and ways of working — if it improves delivery, we want to hear it
- Genuinely supportive and fun to work with — it’s a team where people stay and grow
- Don’t just take our word for it — check our Glassdoor reviews. We have a solid 5-star rating. Search “Data Scientist” for a real view of the culture
About LoopMe
LoopMe is a global adtech company founded to close the loop on brand advertising. Our full-stack platform leverages AI, mobile data, and attribution to deliver measurable outcomes — from purchase intent to foot traffic and offline sales.
We have offices in New York, London, Dnipro, Lviv, Singapore and more — and we’re scaling fast. With over a billion data points processed daily, our technology is pushing the boundaries of what AI can do in a production environment.
What we offer
- Competitive salary + annual bonus
- Flexible remote/hybrid setup (Dnipro/Lviv hubs)
- Learning budget and career growth support
- Friendly, transparent culture with strong leadership support
Hiring process
- Intro with Talent Partner
- 30-min with Chief Data Scientist (delivery-focused)
- Panel with 2 team leads (culture & collaboration)
- Offer – usually within 48 hours of the final round
Ready to help a world-class data science team deliver faster, better, and smarter?