Zefr is the leader in AI-powered content classifications for brands and advertisers. Zefr’s platform is purpose built for multi-modal content understanding on open platforms like YouTube, TikTok, Meta and Snap, with pre-bid activation and verification solutions. Our products safeguard media and AI investments, while maximizing performance and efficacy on those channels.
Headquartered in Los Angeles with global offices across New York, Chicago, London, Toronto, Singapore, and more, Zefr is redefining what trust and transparency means for social media in the age of AI.
As a Product Manager specializing in reporting, you will play a pivotal role in leading the ideation, development, and execution of our reporting platform. You will collaborate closely with cross-functional teams, including engineering, marketing, sales & customer service to create and deliver market-leading solutions.
Own the roadmap for data driven reporting on the largest social media platforms in the world including YouTube, Meta, and TikTok.
Collaborate closely with a cross-functional team consisting of UX/UI, Engineering & QA experts to conceptualize, scope, and execute captivating and immersive reporting experiences for leading global brands & ad agencies
Provide leadership and mentorship to the product organization. Including setting and executing the company's strategic vision for the future.
Drive the Go-To-Market execution for your features, crafting a compelling narrative that highlights the unique insights of Zefr’s Platform
Lead the engineering team between known work to be done and discovering what our customer truly wants.
Run data-driven experiments to tactical decisions
Work closely with business stakeholders to constantly show the value of the decisions you and your team make
Serve as the Subject Matter Expert for our Looker powered reporting platform, helping Custom Success and Sales best utilize the solution
Run all Engineering Ceremonies including daily stand-ups, grooming, planning and retros
5+ years at a technology company with at least 1 year experience in Product Management.
3+ years of experience working with advertisers or in advertising technology preferred.
Experience with Big Data and Data Analytics tools like Snowflake and Looker are preferred.
Knowledge and exposure Agile Product Management processes, frameworks, and templates
Experience interfacing with customers and using feedback to drive roadmaps.
Metrics driven approach to delivering product value
A strong passion for data (both qualitative and quantitative)
A bias for action - pushing projects forward with urgency, even in ambiguity.
Ability to learn/understand complex technical systems/processes and explain them to customers and senior leaders in terms they understand
Strong written and verbal communication skills, adept at explaining complex technical concepts to diverse audiences, including marketing and data science teams.
Acts as a bridge between technical and go-to-market teams, ensuring product decisions are tightly aligned with customer needs and commercial strategy.
Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better. We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.
Flexible PTO
Medical, dental, and vision insurance with FSA options
Company-paid life insurance
Paid parental leave
401(k) with company match
Professional development opportunities
14+ paid holidays off
In-office, hybrid, and fully-remote work options available
In-office lunches and lots of free food
Optional in-person and virtual events (we like to celebrate!)
The anticipated base salary for this position is between $130,000 - $150,000 Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.
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