Job description

Product Manager, Traffic Shaping Boston, MA Hybrid Schedule (M/F remote, T/W/TH in-office) At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we’re looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world’s largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day! About this team: Traffic Shaping uses machine learning to determine which ad requests are worth processing. This helps publishers earn more while reducing Magnite’s infrastructure costs. We operate at the scale of trillions of ad requests per day and ship improvements frequently, partnering closely with Data Science and Engineering from analysis and A/B testing through release. We’re hiring a Product Manager to join the Traffic Shaping team in Boston. You’ll dig into a complex, data-heavy product area, develop a point of view, and help take features from problem definition through launch and measurement. In this role, you will: Build deep knowledge of Traffic Shaping, including the product, its data, its customers, and the systems it connects to Gather stakeholder feedback and turn it into clear product recommendations Analyze large, imperfect datasets and evaluate experiments, explaining what the results mean and what we should do next Develop prioritization recommendations for your area grounded in customer needs, product data, technical constraints, and business impact Define problems clearly and draft requirements and user stories; proposing features and improvements when you identify an opportunity Partner with Engineering and Data Science from ideation through rollout and validation, surfacing risks and tradeoffs early Identify opportunities to improve our product operations, launch processes, and recurring workflows; recommending what to streamline or automate and helping to put those changes into practice. We’re looking for someone with: 2 years of product management experience. You have owned product features, experiments, or improvements, partnering directly with Engineering and cross-functional stakeholders to take work from a loosely defined problem through a validated launch. Strong analytical judgment. You can reason carefully about metrics, experiments, uncertainty, and data quality, even when the underlying information is incomplete. You can distinguish a meaningful result from noise. Technical fluency. You can understand how a system works, ask questions that move an engineering conversation forward, and write SQL when it is the fastest path to an answer. You do not need to be an engineer. Clear communication. You can turn complex analysis into a recommendation people understand, explain the reasoning behind it, and update your point of view when the evidence or a stronger argument warrants it. Ownership and learning speed. You take initiative and develop a thoughtful first pass. You surface risks early, seek feedback before over-investing, and follow through. You get up to speed quickly in unfamiliar territory. Relevant domain experience is helpful, but not required. Experience with programmatic advertising, auctions, marketplaces, or another large-scale transaction system may shorten your ramp-up. Machine learning experience is also helpful but not required. A bachelor’s degree or equivalent practical experience. In Massachusetts, the base salary range for this role is $125,000 – $135,000. Actual compensation will be determined based on location, experience, skills, and internal equity. This role is also eligible for: Annual performance-based bonus Equity (NASDAQ: MGNI) Comprehensive benefits package During the interview process, candidates will receive more specific information about the salary range applicable to their experience and location. Perks and Benefits : Comprehensive Healthcare Coverage from Day One Generous Time Off Holiday Breaks and Quarterly Wellness Days Equity and Employee Stock Purchase Plan Family-Focused Benefits and Parental Leave 401k Retirement Savings Plan with Employer Match Disability and Life Insurance Cell Phone Subsidy Monthly Fitness and Reimbursement Career Growth: We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs. Company Culture: Magnite’s culture is rooted in collaboration and connection, recognizing that both are essential to success. Our hybrid schedule includes two remote workdays (Monday and Friday) and three in-office days (Tuesday through Thursday), where employees can take advantage of catered lunches, beverages, snacks, training opportunities, and engaging office events that enhance the work experience. In addition, we support our team through meaningful benefits and programs, including community service and volunteer opportunities, company-matched charitable contributions, access to mental health resources, structured career development initiatives and growth frameworks, culture and inclusion programs, and our Bonusly peer-to-peer recognition platform. About Us The world s leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC. Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class. Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite’s local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change. Want to learn more about us? Check out our blog for Magnite announcements and Ad Tech industry news! Recruiting Agency Notice Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.

Requirements

Must-haves

Product Manager, Traffic Shaping
Hybrid Schedule (M/F remote, T/W/TH in-office)
Build deep knowledge of Traffic Shaping, including the product, its data, its customers, and the systems it connects to
Gather stakeholder feedback and turn it into clear product recommendations
Analyze large, imperfect datasets and evaluate experiments, explaining what the results mean and what we should do next
Develop prioritization recommendations for your area grounded in customer needs, product data, technical constraints, and business impact
Define problems clearly and draft requirements and user stories; proposing features and improvements when you identify an opportunity
Partner with Engineering and Data Science from ideation through rollout and validation, surfacing risks and tradeoffs early
Identify opportunities to improve our product operations, launch processes, and recurring workflows; recommending what to streamline or automate and helping to put those changes into practice.
Strong analytical judgment. You can reason carefully about metrics, experiments, uncertainty, and data quality, even when the underlying information is incomplete. You can distinguish a meaningful result from noise.
Technical fluency. You can understand how a system works, ask questions that move an engineering conversation forward, and write SQL when it is the fastest path to an answer. You do not need to be an engineer.
Clear communication. You can turn complex analysis into a recommendation people understand, explain the reasoning behind it, and update your point of view when the evidence or a stronger argument warrants it.
A bachelor’s degree or equivalent practical experience.
Actual compensation will be determined based on location, experience, skills, and internal equity.
Equity (NASDAQ: MGNI)
Comprehensive benefits package
We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs.

Nice-to-haves

Annual performance-based bonus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningsql

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

401k

Parental Leave

Wellness