Proven experience in building and deploying machine learning products at scale., Advanced technical specification and data analysis skills with a strong understanding of machine learning methodologies., Strong proficiency in SQL, with familiarity in Python, AWS, and K8s., Demonstrated leadership in managing complex, cross-functional projects in fast-paced environments..
Key responsabilities:
Lead the strategic planning and execution of innovative machine learning projects across the product family.
Define and document technical specifications for machine learning initiatives in collaboration with application teams.
Communicate project progress and strategic impact to the executive team and stakeholders.
Mentor and guide other product managers, fostering a culture of innovation and continuous improvement.
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Numerator is a data and tech company bringing speed and scale to market research. Numerator blends first-party data from over 1 million US households with advanced technology to provide unparalleled 360-degree consumer understanding for the market research industry that has been slow to change. Headquartered in Chicago, IL, Numerator has more than 2,000 employees worldwide. The majority of Fortune 100 companies are Numerator clients.
We’re reinventing the market research industry. Let’s reinvent it together.
At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.
The Machine Learning Team is central to Numerator’s strategy for the future. The Senior Product Manager will be a pivotal leader in Numerator's machine learning strategy. As a Senior Product Manager, you will spearhead the development and execution of our machine learning roadmap, working closely with our machine learning team to transform our extensive data and advanced technologies into impactful product experiences.
What You'll Do:
Lead the strategic planning and execution of complex, innovative machine learning projects across the Numerator product family. You will drive the overall machine learning roadmap to maximize business and industry impact
Define and document comprehensive technical specifications for machine learning initiatives while partnering with application teams
Be a passionate advocate for machine learning and potential applications
Effectively communicate project progress, results, and strategic impact to the executive team and key stakeholders
Mentor and guide other product managers and team members, fostering a culture of innovation and continuous improvement
What You'll Bring to Numerator
Insatiable curiosity and passion for machine learning
Proven experience building and deploying machine learning products at massive scale
Advanced technical specification and data analysis skills, with a keen understanding of machine learning methodologies
Demonstrated leadership in managing complex, cross-functional projects and delivering results in a fast-paced environment
Ability to collaborate effectively with stakeholders at all levels, including executive leadership, to gather feedback, prioritize initiatives, and manage the engineering backlog strategically
A proactive and strategic mindset, with the ability to anticipate challenges and develop effective solutions
Strong proficiency in SQL. Familiarity in Python, AWS, K8s, or experience training and evaluating your own machine learning models.
Extra nice to haves
Experience working and/or leading geographically dispersed teams.
Work experience in a market intelligence company.
What We Offer
A highly collaborative and inclusive company culture that values innovation and continuous learning.
Market competitive total compensation package.
Volunteer time off and charitable donation matching.
Strong support for career growth, including mentorship programs, leadership training, access to conferences, and employee resource groups.
Great benefits package including health/vision/dental, flexible PTO, 401K matching, and more.
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.