Associate Product Manager, Traffic Shaping

MagniteBoston, MA
$95,000 - $105,000Hybrid

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 identify the ad requests most valuable to process, helping maximize publisher revenue while using infrastructure efficiently. Operating at a scale of trillions of requests per day, we partner closely with Data Science and Engineering through a fast, experiment-driven cycle of A/B tests and frequent high-impact deployments. We're hiring an Associate Product Manager to join our Boston team as an on-ramp into product management. We are not expecting a polished PM out of the gate. We're looking for someone analytical and technical, willing to learn on the job, and able to work side by side with an experienced team of product managers, data scientists, and engineers. We'll invest in developing your skills through real mentorship, hands-on projects, and direct feedback. This role is designed to build the skills and experience needed to take on progressively broader product ownership.

Requirements

  • Early-career hunger to learn. A recent graduate, or someone with ~1-2 years of experience in an analytical or technical role (e.g., analyst, entry-level data scientist, or engineer) who is looking to move into product. We care more about raw ability, curiosity, and grit than years of experience. Prior product management and ad tech experience are not required.
  • Strong problem-solving and analytical skills. Comfort with data (Excel charts, pivots, basic models, plus SQL or the ability to pick it up fast).
  • Technical comfort. Not scared to use the command line, work with AI tools, or read and write a little code. You don't need to be an engineer.
  • Clear communication, in writing and verbally. (This grows with repetition, and we'll coach you!)
  • An ownership mentality. You take something and follow through without being chased.
  • A Bachelor's degree or equivalent practical experience.

Nice To Haves

  • A quantitative or technical background (preferred, not required). e.g., math, statistics, economics, computer science, engineering. No specialized (e.g., ML) degree and no ad tech experience required.

Responsibilities

  • Build a deep understanding of the Traffic Shaping product, its data, and the systems it interacts with, developing the context needed to make sound product decisions
  • Analyze large and sometimes messy datasets, turning the results into clear insights, recommendations, and next steps
  • Partner with Product, Data Science, and Engineering to design, run, and evaluate A/B tests and deployment validations
  • Identify and implement improvements to product operations, launch processes, and recurring workflows, including opportunities for automation
  • Translate product problems into clear requirements, coordinate execution across functions, and communicate results to stakeholders
  • Take progressively broader ownership, beginning with scoped features and growing into end-to-end responsibility for initiatives from definition through rollout and validation

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
  • structured career frameworks and learning programs
  • 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
  • Bonusly peer-to-peer recognition platform
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