Technical Product Manager - Mobile App Machine Learning

July 12

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StackAdapt

Content amplification β€’ Content Distribution β€’ Advertising β€’ Native Ads β€’ Display Ads

501 - 1000

πŸ’° Series A on 2016-01

Description

β€’ 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. β€’ Infrastructure Integration: Collaborate with the engineering team to ensure seamless integration of existing ad infrastructure, including bidding, serving, pacing, etc. β€’ Stakeholder Communication: Communicate clearly and precisely with stakeholders across the organization, ensuring everyone is informed and aligned at the right times. β€’ Data-Driven Decisions: Utilize analytical skills to define key success metrics, monitor KPIs, and make data-driven decisions that drive product success. β€’ Industry Expertise: Stay ahead of industry trends, competitive landscape, and evolving market needs, aligning these insights with StackAdapt's mission and vision.

Requirements

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

Benefits

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

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