Senior Technical Product Manager, Applied AI - Mattel Digital Studio
Mattel Inc · El Segundo, CALIFORNIA, us ·
- Seniority
- Senior
- Category
- AI engineering
- Experience
- 8+ years
- Visa sponsorship
- Yes
- Company size
- 501-1000
Mattel Inc · El Segundo, CALIFORNIA, us ·
Senior Technical Product Manager building and scaling AI-powered tools, workflows, and decision-support systems for Mattel’s digital gaming and interactive experiences, using LLM APIs, agent frameworks, and modern AI platforms.
The Opportunity:
Mattel Digital Studios (MDS) is a cross-functional division that leverages digital innovation to amplify Mattel’s iconic brands, expanding into digital gaming, interactive experiences, and emerging technologies. The MDS Tech organization serves as the technical foundation across this portfolio, building scalable systems, tools, and platforms that enable product teams to move quickly and deliver high-quality digital experiences. Working across multiple products and partners, the team focuses on unlocking the value of AI, data, and modern development frameworks to power personalization, content creation, and next-generation play experiences.
As part of this ecosystem, the Applied AI function sits at the intersection of product innovation and technical execution—unlocking new capabilities across creative workflows, internal tooling, and development pipelines.
What Your Impact Will Be:
As a Senior Technical Product Manager, Applied AI, you will define, build, and scale AI-powered tools, workflows, and decision-support systems across Mattel Digital Studios. You will be accountable for identifying friction in cross-functional workflows — process misalignment, communication overhead, unreliable data, and stretched team bandwidth — and for translating that friction into a prioritized portfolio of AI solutions that measurably move the business.
You will manage a portfolio framed in three buckets — Quick Wins, Efficiency Gains, and Strategic Bets — with the strongest opportunities progressing from proof-of-concept into strategic pilot and broader MDS rollout. The scope spans workflow automation, internal tooling, creative and content-generation tools, and decision-support systems tied to real operational use cases.
Unlike traditional product roles, this position requires hands-on technical execution. You will actively build prototypes, experiment with AI models and APIs, and develop working solutions; but success goes beyond prototyping — it is seeing opportunities through productization, rollout, stakeholder alignment, team enablement, and repeatability across disciplines. You will partner with MDS leadership and the Product, Engineering, Operations, and Creative teams, bringing external vendors where buying beats building.
This role is critical in ensuring that AI efforts are grounded in real business and user value, avoiding both strategy without execution and technology without clear application. You will also help flag and manage adoption risk—data quality, model accuracy and reliability, brand and creative integrity, and appropriate guardrails—partnering with the Office of AI and other governance stakeholders as needed.
This role reports to the MDS Technical Director and works cross-functionally across MDS.
Do you or someone you know have a passion to create products that inspire, entertain, and delight fans of all ages?
Join us to create the future of play.
What We’re Looking For:
Portfolio & Pain-Point Ownership
Own the applied AI roadmap from pitch to production — with direction and buy-in from MDS leadership, balancing speed, experimentation, and long-term value creation.
Identify and surface use cases and friction—assessing feasibility and scalability, translating them into high-impact AI opportunities.
Manage the opportunity portfolio—graduating the strongest proofs-of-concept into strategic pilots and broader MDS rollout.
Translate business needs into AI-powered tools, workflow automations, and decision-support solutions, defining clear requirements, success metrics, adoption targets, and iteration plans
Experiment, Innovate & Build
Continuously explore emerging AI capabilities and evaluate their application for internal tools, workflows, and content pipelines; apply them where operational impact, not novelty, justifies the work.
Build prototypes, lightweight applications, automations, and decision-support tools. Work hands-on, using modern AI platforms — LLM APIs, multimodal models, agent frameworks, orchestration tools, and evaluation harnesses.
Rapidly test and iterate on new ideas with a focus on measurable operational impact.
Partner with engineering, platform, and external vendors to productize, harden, and scale successful prototypes—owning build-vs-buy judgment and seeing opportunities through to live deployment.
Cross-Functional Enablement
Act as a bridge between MDS leadership, Product, Engineering, Operations, and Creative teams to identify and unlock AI opportunities within internal workflows and pipelines.
Secure leadership buy-in, drive alignment across stakeholders on priorities, and translate ambition into crisp execution plans with owners, timelines, and measurable outcomes.
Enable teams through reusable tools, workflow patterns, playbooks, and training that make adoption repeatable across disciplines—not one-off wins.
Collaborate with external partners (e.g., OpenAI) to accelerate internal capability building, and spearhead vendor evaluation and integration.
Governance, Responsible Use & Measurable Impact
Manage adoption risks—data quality, compliance, hallucinations, over-reliance, brand and creative integrity—setting guardrails with the Office of AI and consulting with legal and privacy teams.
Define success metrics per opportunity—productivity, quality, cost, effectiveness—and report portfolio impact on a regular cadence.
Requirements
Bachelor’s degree in Computer Science, Engineering, Product Design, or related field (or equivalent experience). Masters in Computer Science or related field preferred.
5–8+ years of experience in product management, engineering, or technical roles, with a demonstrated track record of personally shipping internal tools, automations, and cross-functional operational improvements—not just authoring requirements.
Hands-on experience building AI workflows and automations using LLM APIs, multimodal models, agent frameworks, and orchestration tools (e.g., OpenAI, Claude, LangChain, Python-based pipelines, Retool, low-code automation, etc.).
Demonstrated ability to take an AI solution from prototype through productization and rollout — including stakeholder alignment, enablement, and measuring business impact post-deployment — not just define requirements.
Strong product and operator mindset, with the ability to diagnose workflow pain points and connect user needs and business goals to technical solutions.
Experience working cross-functionally with production, engineering, design, creative, and business stakeholders.
Strong problem-solving skills, with a bias toward action and rapid iteration.
Ability to operate in ambiguity and navigate emerging technology landscapes.
Strong communication and storytelling skills, with the ability to influence across technical and non-technical audiences.
Demonstrated curiosity and growth mindset, staying current with rapidly evolving AI capabilities—including awareness of responsible-use considerations.
Don’t meet every single requirement? At Mattel, we are dedicated to an inclusive workplace and a culture of belonging. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Join Mattel's Talent Community and start receiving exciting updates about our company, our employees, and our culture. Also, interested in signing up for job alerts? Do so here!
How We Work:
We are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors:
Who We Are:
Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential.
Mattel’s award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more.
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Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, gender, gender identity or expression, sexual orientation, veteran and protected veteran status, disability status, and or any other basis protected by applicable federal, state or local law.
Pursuant to the Los Angeles Fair Chance Ordinance and the California Fair Chance Act, qualified applicants with arrest or conviction records will be considered for employment.
The pay range for this position is between $168,000 and $210,000 annual. The pay range is indicative of projected hiring range, however base pay will be determined based on a candidate’s work location, skills and experience. Mattel offers competitive total pay programs, comprehensive benefits, and resources to help empower a culture where every employee can reach their full potential.
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