StackAdapt is a self-serve advertising platform specializing in multi-channel solutions, including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to achieve outstanding campaign performance and outcomes every day. Founded with a vision to be more than just an advertising platform, StackAdapt is a hub of innovation, imagination, and creativity.

What You'll Be Doing:

  • Technical Collaboration: Work closely with data science and machine learning engineers to develop and implement advanced models and algorithms that optimize ad performance and user acquisition.
  • Infrastructure Integration: Collaborate with the engineering team to ensure seamless integration of existing ad infrastructure, including bidding, serving, pacing, etc.
  • Stakeholder Communication: Communicate clearly and precisely with stakeholders across the organization, ensuring everyone is informed and aligned at the right times.
  • Data-Driven Decisions: Utilize analytical skills to define key success metrics, monitor KPIs, and make data-driven decisions that drive product success.
  • Industry Expertise: Stay ahead of industry trends, competitive landscape, and evolving market needs, aligning these insights with StackAdapt's mission and vision.

What You Bring to the Table:

  • Educational Background: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. A Master's degree is a plus.
  • Experience: 3-5 years of technical product management experience with a proven track record of delivering impactful projects in the advertising technology space.
  • AdTech Knowledge: Proficiency in Ad servers, bidding, auctions, DSPs, SSPs, and MMPs. Experience with building CTR and CVR-type models.
  • Technical Expertise: Deep understanding of ads infrastructure, including bidding and pacing, as well as experience with machine learning models (e.g., XGBoost, DNN).
  • Mobile Focus: Strong understanding of mobile app install workflows and key performance metrics such as CPI, IPM, C2I, etc.
  • Analytical Skills: Ability to derive insights from data using SQL queries or product analytics tools and apply these insights to product decisions.

StackAdapter's Enjoy

  • Highly competitive salary
  • RRSP/401K matching
  • 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
  • Access to a comprehensive mental health care platform
  • Full benefits from day one of employment
  • Work-from-home reimbursements
  • Optional global WeWork membership for those who want a change from their home office
  • Robust training and onboarding program
  • Coverage and support of personal development initiatives (conferences, courses, etc)
  • Access to StackAdapt programmatic courses and certifications to support continuous learning
  • An awesome parental leave policy
  • A friendly, welcoming, and supportive culture
  • Our social and team events!

Location

United States

Job Overview
Job Posted:
4 months ago
Job Expires:
Job Type
Full Time

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