The role involves collaborating with engineering and data science teams to enhance ad performance models, communicate with stakeholders, and analyze data for informed product decisions in mobile advertising technology.
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!
Top Skills
Dnn
SQL
Xgboost
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