The job, in the employer's words
Teamwork makes the stream work.
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.
About the role
Roku is seeking a Senior Product Manager to lead exchange optimization initiatives within Roku's advertising platform, driving programmatic CTV innovation at scale. In this role, you will own the strategy and execution of how Roku's exchange delivers optimal outcomes for advertisers, maximizes revenue, and operates with efficiency across a real-time bidding environment powered by more than 100 million household devices. You will pioneer projects across traffic shaping, dynamic price floors, deal optimization, and outcome-driven auction mechanics, partnering closely with data science, engineering, and demand partner teams. You will define product requirements, design experimentation frameworks, and translate complex advertiser and marketplace signals into algorithmic improvements that balance yield, latency, and user experience. This is a unique opportunity for a product leader who deeply understands programmatic ad tech ecosystems to shape how Roku collaborates with the world's leading adtech companies and industry groups such as the IAB Tech Lab. The ideal candidate thrives in technically complex environments, brings a strategic mindset paired with strong execution skills, and is energized by building at the intersection of data, engineering, and advertising.
For New York Only - The estimated annual base salary for this position is between $119,100 - $265,400.
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.
How will I use AI at Roku?
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.
What you'll be doing
- Partner with data science and engineering teams to design, test, and maintain algorithms for dynamic price floor optimization using real-time signals such as demand density, device and content context, seasonality, and competing bid landscape to maximize auction outcomes
- Develop traffic shaping strategies that route and pace bid requests across supply paths, SSPs, DSPs, and inventory tiers to balance latency, timeout rates, and win-rate economics within CTV's unique ad pod and long-form video environment
- Build and iterate on auction mechanics including pricing dynamics, pod optimization, and floor personalization to improve yield
- Own experimentation execution for pricing and routing changes with clear measurement of impact on fill rate, CPM, latency, revenue, and user experience
- Analyze the impact of various bid request signals on advertiser and exchange outcomes
- Model and forecast supply and demand elasticity by inventory segment including device type, content genre, daypart, and geography to inform pricing and packaging strategy
- Partner with engineering to productionize optimization models into production systems
- Monitor exchange health metrics such as QPS, timeout rates, win rate, revenue per mille, and bid density
- Collaborate with demand partner teams to translate business goals including revenue targets, fill guarantees, and publisher relationships into algorithmic constraints and objectives
- Stay current on programmatic and CTV ecosystem shifts including SSP consolidation, curation, supply path optimization trends, and privacy-driven identity changes to adapt strategies accordingly
- Engage directly with industry groups such as the IAB Tech Lab to understand demand partner perspectives and identify opportunities for more efficient collaboration
- Define product requirements, user stories, and acceptance criteria for complex technical features
- Communicate product strategy, roadmap, and progress to executive leadership and cross-functional stakeholders
We're excited if you have
- 6+ years of product management experience, with at least 3 years at an RTB-enabled ad tech company such as a large publisher operating a scaled exchange, SSP, or DSP, with direct involvement in programmatic optimization at scale
- Deep understanding of real-time bidding and exchange dynamics including auction mechanics, bid request and response protocols, and supply path optimization
- Advertising DNA: Strong understanding of advertiser and agency dynamics and how different parties interact with DSPs, SSPs, and publishers
- Experience deploying ML-driven optimization models at scale in an RTB environment
- Strong statistical analysis and data interpretation skills with the ability to design and evaluate experiments
- Proven ability to work cross-functionally with engineering, data science, sales, partnerships, and executive stakeholders
- Strong written and verbal communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
- Strategic thinking combined with strong execution skills, with the ability to see the big picture while driving into the details
- Bachelor's degree or equivalent experience in a quantitative or technical field
#LI-RN1
What's Roku's approach to hybrid working?
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 EmployeeRelations@Roku.com.
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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Benefits mentioned
- 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.
Requirements mentioned
- 6+ years of product management experience, with at least 3 years at an RTB-enabled ad tech company such as a large publisher operating a scaled exchange, SSP, or DSP, with direct involvement in programmatic optimization at scale
- Deep understanding of real-time bidding and exchange dynamics including auction mechanics, bid request and response protocols, and supply path optimization
- Advertising DNA: Strong understanding of advertiser and agency dynamics and how different parties interact with DSPs, SSPs, and publishers
- Experience deploying ML-driven optimization models at scale in an RTB environment
- Strong statistical analysis and data interpretation skills with the ability to design and evaluate experiments
- Proven ability to work cross-functionally with engineering, data science, sales, partnerships, and executive stakeholders
- Strong written and verbal communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
- Strategic thinking combined with strong execution skills, with the ability to see the big picture while driving into the details
- Bachelor's degree or equivalent experience in a quantitative or technical field
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