Who We Are
At adMarketplace, our mission is to deliver the most engaging consumer search experiences while empowering advertisers to measure media performance accurately. Today, millions of people worldwide engage with our exclusive, transparent media placements across the internet’s leading browsers, shopping apps, and review sites.
Our mantra at adMarketplace is to let our winners run. From your very first day at AMP, you’ll have the opportunity to start making a valuable contribution to our company.
We’ve built our award-winning culture around five core values (known as our 5C’s): Curiosity, Collaboration, Creative Conflict, Commitment, and Competitiveness. With these guiding values, adMarketplace seeks to empower each and every employee to succeed, continue learning, and do their best work.
The Role
adMarketplace focuses on improving the search journey for consumers through innovative search media solutions. We are looking for a Product Manager II who will be responsible for building products to transform consumers’ online search experiences through machine learning and generative AI. You’ll work with internal and external stakeholders to address new challenges and drive business outcomes. A successful candidate is curious, creative, passionate about consumer experience, and will be able to make data-driven decisions.
What You’ll Do:
- Own the full lifecycle of product development from ideation to market launch to iteration
- Analyze data to make informed product decisions on features and prioritization
- Define key metrics and monitor a product’s success pre and post launch
- Create product requirements based on business strategy
- Work closely with the engineering and UX teams to deliver a successful solution
- Collaborate with stakeholders (internal and external) and the executive team to understand use-cases and validate product strategy
Qualifications:
- BA/BS in Data Analytics, Computer Science, Design or comparable discipline
- 3-5+ years of product management or related experience
- Experience working with cross-functional teams without formal authority
- Ability to think strategically and prioritize product requirements
- Highly analytical; able to make data-informed decisions
- Love tackling complex problems in fast-paced environments and have the grit and creativity to get to a great solution
- Passionate about consumer experience and online shopping
- Prior experience building Machine Learning / AI powered products is a plus
#LI-Onsite
*Compensation Range: $120,000 - $180,000
#LI-Onsite
Join Us
adMarketplace has been named as one of the best places to work in New York City by Built In and Crain’s- the latter of which have recognized us the past three years straight! AMP is currently experiencing triple digit growth, and it’s never been a better time to join our team!
We offer a robust continuing education program, management training, regular company-wide lunch and learns, and well-defined career paths to ensure all our employees have an opportunity to grow.
At adMarketplace, we play to win, but we learn from our setbacks. Our commitment to a collaborative environment means no one succeeds alone, and no one fails alone either.
We know you’ve come to expect comprehensive healthcare, wellness programs, paid time off, commuter benefits, and 401k matching from any company, so it’s a good thing we offer all of that and so much more. adMarketplace offers a dog friendly office, Summer Fridays, catered lunches, a fully stocked kitchen, ZogSports teams, happy hours and corporate retreats to encourage a strong work/life balance.
Must be located or willing to relocate to New York City Metropolitan Area
*This range represents the low and high end of the base salary someone in this role may earn as an employee of adMarketplace in the New York office. Salaries will vary based on various factors including but not limited to professional and academic experience; training; associated responsibilities; and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire.
