Product Manager
About The Position
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.
Requirements
- 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.
- A bachelor’s degree or equivalent practical experience.
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- Annual performance-based bonus
- Equity (NASDAQ: MGNI)
- Comprehensive benefits package
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
