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
Similar Jobs
Artificial Intelligence • Healthtech • Information Technology • Natural Language Processing • Software • Analytics • Generative AI
The Product Manager will lead healthcare analytics initiatives, drive data-driven enhancements, support implementations, and collaborate with stakeholders.
Top Skills:
Data AnalyticsHealthcare ItSaas Solutions
Big Data • Cloud • Software • Database
Lead the product vision and strategy for MongoDB Atlas, collaborating across teams to enhance customer experience and scale adoption. Engage with users to advocate for automation, usability, and security while analyzing market trends.
Top Skills:
APIsCloudFormationDevsecopsMongoDBTerraform
Enterprise Web • Fintech • Marketing Tech • Software
The Director of GTM Business Systems will lead systems management, optimize go-to-market processes, and collaborate across departments to align technology solutions with business needs while mentoring a systems team.
Top Skills:
Agile MethodologiesBoomiCongaExcelJIRALeandataLinkedin Sales NavigatorNetSuiteSalesforceSalesforce CpqSalesloftScrumZoominfo
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
