Senior Technical Program Manager

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Program Management · Product Management

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In short

Senior Technical Program Manager to lead end-to-end program management for large-scale ML and personalization initiatives, driving the delivery of recommendation systems and personalization models. Requires 8+ years of experience in technical program management with ML/AI background, and ability to build trusted relationships and communicate clearly.

Responsibilities

Lead end-to-end program management for large-scale ML and personalization initiatives.
Drive the delivery of recommendation systems and personalization models.
Own program roadmaps, milestones, dependency maps, and risk plans.
Orchestrate ML development workflows, including model training pipelines, experimentation, data infrastructure, and production deployment.
Partner with engineering leaders on capacity planning, resourcing, and technical trade-off decisions.
Drive alignment across ML engineering, data science, product, platform, and UX teams.
Set up program metrics, reporting rhythms, and dashboards.
Keep leadership well-informed with clear, data-informed communication.
Improve how teams work across the ML lifecycle.

Requirements

8+ years of experience in technical program management.
Meaningful time on ML, AI, data platforms, or similarly complex technical work.
Track record of delivering multi-team technical programs from early planning through production launch.
Understand ML development workflows such as model training, experimentation, feature engineering, data pipelines, and production inference.
Build trusted relationships with engineering and product leaders, especially in distributed, cross-functional organizations.
Communicate clearly and can turn technical work into stories.
Comfortable with ambiguity and creating clarity.
Lead through influence rather than authority.
Care about the people and teams you work with.
Enjoy helping others grow and bring curiosity and openness.

Desired Qualifications

You don't need to be an ML engineer yourself.

Benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off - for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Flexibility to work where you work best.
Some in-person meetings, but still allows for flexibility to work from home.

Skills

Machine LearningData ScienceProduct ManagementUX DesignRoadmappingRisk ManagementData PipelinesProgram Management

#engineering#machine learning#personalization#program management#data science#product#design#recommendation systems#mlops

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