Offer summary

Qualifications:

At least 3 years of experience delivering software or data science projects in an agile environment., Strong practical knowledge of Scrum or Kanban methodologies., Excellent communication skills to collaborate with engineers, data scientists, and external teams., Technical fluency in APIs, pipelines, or ML A/B testing discussions..

Key responsibilities:

Lead sprint planning, daily standups, and retrospectives across multiple data science squads.

Manage and keep the 12-month project roadmap aligned with various teams.

Unblock teams by managing dependencies and escalations across time zones.

Coordinate release schedules, track bugs, and support quality assurance processes.

Job description

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 Technical Program 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

3+ 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: