Job description

Storytelling is, and will always be, the heart of what we do at Skydance. Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled. Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day. If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO! #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: Overview We’re seeking a Manager of Technical Program Management. This role will lead the delivery of Consumer AI. Consumer AI is the team focused on applied machine learning. They work on personalization, recommendations, and other AI-driven experiences for Paramount+ and Pluto TV. You will own delivery of cross-team programs and serve as a delivery engine for the roadmaps of the teams you support. The teams and focus areas will shift as business priorities do. This is a program management role, not an engineering role. You won’t write production code or design systems. You’ll bring the structure, visibility and coordination that let researchers and engineers advance fast, and you’ll understand the technology well enough to ask the right questions and spot risk early. What you’ll do Own end-to-end delivery of programs spanning multiple teams, from early experiments through production launch, across research, engineering and product. Define scope, milestones, OKRs and success metrics, and give senior executives clear, executive-ready updates on status, risks, decisions and tradeoffs. Give management reliable visibility into what is being built and learned, including experiment status and results and timelines to internal testing and launch. Own cross-team dependency tracking and priority alignment, including with teams outside Consumer AI, influencing a matrixed set of stakeholders without formal authority. Identify delivery and technical risks early (data quality, model readiness, infrastructure capacity) and drive mitigation with the accountable owners. Facilitate root-cause clarity on blocking issues and escalate decisions with crisp options and a recommendation. Translate technical tradeoffs into clear plans for technical and non-technical audiences. Use AI-assisted tools to build the operational tooling, dashboards and automation that improve how teams run. 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. Experience delivering programs for applied ML systems, such as personalization, ranking, recommendation or content knowledge, or for the data and platform infrastructure behind them. Day-to-day fluency with AI-assisted tools applied to program management work, such as dashboards, reporting and automation. You are not expected to write production code. Working knowledge with 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 Knowledge with the applied ML lifecycle: experimentation and evaluation, productionization and monitoring. Awareness with data and embedding pipelines and vector-based retrieval concepts. Knowledge with emerging practices such as prompt and context engineering and agent orchestration. About Skydance Skydance is a next-generation global media and entertainment company, comprised of three business segments: Studios, Direct-to-Consumer, and TV Media. Skydance's portfolio unites legendary brands, including Paramount, Warner Bros., HBO and HBO Max, Paramount+, Pluto TV, CBS, CNN, CBS Sports, TNT Sports, Nickelodeon, Cartoon Network, MTV, Food Network, BET, HGTV, and Comedy Central. ADDITIONAL INFORMATION Hiring Salary Range: $124,000.00 - 186,000.00. In compliance with local law, we are disclosing compensation, or a range thereof, for roles where legally required. Actual salaries will vary based on a variety of job-related factors, including but not limited to geographic location, external market data, internal equity, skill set, experience, training, education, and/or performance. Base pay is just one component of our total compensation package. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. This position is bonus eligible. What We Offer : • Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here . • Generous paid time off. • Complimentary subscriptions to HBO Max, Paramount+, and other Skydance streaming services and digital news products. • Robust employee engagement opportunities, including access to exclusive screenings and events, speaker series, volunteer activities and more. Skydance is an equal opportunity employer (EOE) We embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law. If you are a qualified individual with a disability, you may request a reasonable accommodation during the job application and/or recruitment process. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.

Requirements

Must-haves

Storytelling is, and will always be, the heart of what we do at Skydance.
If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO!
#WeAreParamount on a mission to unleash the power of content… you in?
46743 Manager, Technical Program Management — AI/ML
What you’ll do
Own end-to-end delivery of programs spanning multiple teams, from early experiments through production launch, across research, engineering and product.
Define scope, milestones, OKRs and success metrics, and give senior executives clear, executive-ready updates on status, risks, decisions and tradeoffs.
Give management reliable visibility into what is being built and learned, including experiment status and results and timelines to internal testing and launch.
Own cross-team dependency tracking and priority alignment, including with teams outside Consumer AI, influencing a matrixed set of stakeholders without formal authority.
Identify delivery and technical risks early (data quality, model readiness, infrastructure capacity) and drive mitigation with the accountable owners.
Facilitate root-cause clarity on blocking issues and escalate decisions with crisp options and a recommendation.
Translate technical tradeoffs into clear plans for technical and non-technical audiences.
Use AI-assisted tools to build the operational tooling, dashboards and automation that improve how teams run.
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.
Experience delivering programs for applied ML systems, such as personalization, ranking, recommendation or content knowledge, or for the data and platform infrastructure behind them.
Day-to-day fluency with AI-assisted tools applied to program management work, such as dashboards, reporting and automation. You are not expected to write production code.
Working knowledge with 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
Knowledge with the applied ML lifecycle: experimentation and evaluation, productionization and monitoring.
Awareness with data and embedding pipelines and vector-based retrieval concepts.
Knowledge with emerging practices such as prompt and context engineering and agent orchestration.

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Keywords to mirror

goaimlmachine learningdesign systems

Platform: successfactors
Effort: medium

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Paid Time Off