Manager, AI/ML Technical Program Management, Content Engineering

This is a Full Time Job

WeAreParamount on a mission to unleash the power of content… you in?
We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

46743 Manager, Technical Program Management – AI/ML

Overview & Summary:

We're seeking a Manager, Technical Program Management to drive execution for engineering teams within a broader applied ML organization, powering personalization and applied ML across Paramount and Pluto TV. This role will support content data, metadata, and embedding pipelines that feed downstream models, or on the personalization, recommendation, and ranking models built from them – the two ends of the same pipeline. You will own delivery of cross-team programs, bringing structure to a fast-moving environment and becoming a delivery engine for the team's roadmap.

Key Responsibilities

Program Execution & Delivery Leadership

Coordinate all activities for projects with multiple teams. This may include working on content and data pipelines. It could also involve model development or personalization systems, depending on the task.

Define scope, milestones, OKRs, and success metrics, and report against them for the senior executive team and stakeholders.

Bring systems thinking and technical judgment to pipeline, model, and infrastructure tradeoffs, and influence outcomes across a matrixed set of stakeholders without formal authority.

Risk Mitigation & Issue Resolution

Own cross-team dependency tracking and priority alignment across technology touchpoints. Identify technical and delivery risks. These risks include issues with data quality, gaps in model readiness, and problems with infrastructure capacity. Work with the responsible owners to address these risks.

Facilitate root-cause clarity on complex, blocking issues; surface tradeoffs and escalate decisions with crisp options and recommendations.

Cross-Functional Communication

Partner with engineering and adjacent product teams to align milestones and ensure delivery. Translate technical tradeoff discussions into clear plans for both technical and non-technical audiences.

Provide clear, executive-ready updates on status, risks, decisions, and tradeoffs to team and org management.

Basic Qualifications

Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent applicable experience. 8 years of experience in Technical Program Management, Engineering Program Management, or a related role delivering complex, multi-team technical systems.

Hands-on experience with AI-Assisted Development Tools and AI to build operational tooling, dashboards, or automation that measurably improves team efficiency.

Experience with applied machine learning systems is required. This includes developing models. It also includes personalization, ranking, and recommendation engineering. Experience with content or data engineering systems is also acceptable. This includes large-scale content ingestion, metadata, and embedding pipelines.

Working knowledge of at least one major cloud platform. Proven ability to operate in ambiguity and bring structure to a fast-moving, still-evolving problem space.

Additional Qualifications

Experience with content and data ingestion. Knowledge of metadata and embedding or feature pipelines. Knowledge of vector-based retrieval concepts. Skills in content engineering. Knowledge of emerging practices like prompt/context engineering and agent orchestration. Technical Cloud certifications are a plus, not a requirement.