Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
When you join our Core Analytics Team, you become part of a centralized hub of analytics excellence. This team provides the unique opportunity to work alongside a world-class peer group, leveraging centrally maintained tools and resources to drive impactful results. We emphasize continuous learning and development, ensuring team members are always growing their skills and expertise. Collaborating closely with Engineering, Product, and Business teams, we deliver data-driven insights and innovative capabilities that guide our stakeholders, shape our strategies, and enhance the experiences of Roku's users globally.
The Senior Manager, Marketing Analytics leads a global team of analysts, data scientists, and BI engineers that measures how marketing influences business results across ecommerce, retail, subscriptions, and advertising-supported video on demand (AVOD). You will set the team's strategy, develop managers and technical talent, and guide how Roku measures the impact of brand, performance, and lifecycle marketing across paid and owned channels. Your work will help leaders understand which investments generate incremental results, where to allocate budgets, and how to improve marketing performance. The role combines people leadership with technical depth and hands-on analytical experience, including evaluating causal methods, reviewing analytical work, and working directly with data when needed. You will lead a distributed team, including colleagues in Amsterdam and the UK, and collaborate with partners in Taiwan and across other regions, as well as with Marketing, Finance, Product, Engineering, and other analytics teams.
For California Only - The estimated annual base salary for this position is between $233,000 - $304,600. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability.
We value curious, adaptable builders, who can show how they've used AI, agents, or automation to move faster, improve quality, and scale their impact. Strong candidates know how to frame problems, guide AI-assisted work, check the output, and learn quickly. Above all, they bring curiosity, adaptability, and sound judgment.
- Lead and develop a team of data scientists, analytics engineers, and managers, setting clear expectations, coaching managers, and supporting hiring and career development
- Own the Marketing Analytics roadmap, balancing measurement capabilities that serve multiple businesses with the priorities of individual marketing teams
- Partner with senior Marketing, Finance, and business leaders to define success, identify the decisions analytics needs to support, and translate those needs into a prioritized plan
- Establish and improve incrementality testing and media mix modeling to estimate marketing's contribution to business results and inform budget allocation
- Guide the design, execution, and analysis of experiments, including audience and geographic holdouts
- Apply causal inference methods when randomized testing isn't feasible, and communicate the limits of the evidence
- Turn measurement findings into recommendations about where to invest, what to test next, and which marketing activities to adjust or scale
- Oversee marketing-focused analysis of retail and DTC performance, conversion funnels, customer segmentation, and targeting
- Guide analytics engineering work that makes marketing data reliable and reusable, partnering with Data Engineering and Business Intelligence teams on data models, metric definitions, quality, and reporting
- Communicate findings and recommendations to executives, explaining business implications, trade-offs, and uncertainty in clear language
- Coordinate priorities and ways of working across a global team, maintaining technical standards while developing team members' autonomy and judgment
- 10+ years of relevant experience in marketing analytics, data science, or a closely related field, with a record of influencing marketing strategy and investment decisions
- 5+ years of experience leading analytics or data science teams, including experience managing and developing managers
- Deep expertise in marketing effectiveness measurement, including incrementality testing, media mix modeling, and using measurement to inform budget allocation
- Strong grounding in statistics, experimental design, and causal inference, with the judgment to choose methods suited to the business question and available data
- Hands-on proficiency in SQL and Python or R, and the technical depth to review analyses, challenge assumptions, and guide implementation
- Experience working with analytics engineers and data engineering partners to build reliable datasets and measurement capabilities
- Experience translating complex findings into clear recommendations and influencing senior stakeholders, including when evidence is incomplete or challenges existing assumptions
- Experience leading distributed teams and collaborating across functions, regions, and time zones
Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.
What are some of the benefits?
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to [email protected].
What should I know about Roku's culture?
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
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Skills Required
- 10+ years of relevant experience in marketing analytics, data science, or a closely related field
- 5+ years of experience leading analytics or data science teams, including managing and developing managers
- Expertise in marketing effectiveness measurement, including incrementality testing and media mix modeling
- Strong knowledge of statistics, experimental design, and causal inference
- Hands-on proficiency in SQL and Python or R
- Experience working with analytics engineers and data engineering partners to build reliable datasets and measurement capabilities
- Experience translating complex findings into recommendations and influencing senior stakeholders
- Experience leading distributed teams and collaborating across functions, regions, and time zones
Roku Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Roku and has not been reviewed or approved by Roku.
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Fair & Transparent Compensation — Pay is positioned as competitive across many roles, with frequent emphasis on strong base and total compensation relative to market expectations. Fair-pay perception appears comparatively stronger than overall satisfaction with the broader rewards package.
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Healthcare Strength — Healthcare coverage is framed as a standout, with sizable employer premium contributions that can reduce employee premiums significantly depending on plan choice. Preventive care and mental-health support are also described as part of the core offering.
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Leave & Time Off Breadth — Time-off offerings are presented as broad, including paid holidays, PTO, and multiple leave categories such as bereavement and family-related leave. Self-managed or “unlimited” PTO is also described for many salaried roles, supporting flexibility in taking time off.
Roku Insights
What We Do
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV OEMs and service operators.
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