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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!
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