Technical Product Manager - Mobile App Machine Learning

July 12

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StackAdapt

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Discover the self-serve programmatic advertising platform used by digital marketers around the world.

Content amplification • Content Distribution • Advertising • Native Ads • Display Ads

501 - 1000

💰 Series A on 2016-01

Description

• 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.

Requirements

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

Benefits

• 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!