About the role

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

Reporting to the Senior Manager, Client Services, you’ll play an integral role in post-sales client relationships as it relates to user adoption of the StackAdapt platform, campaign management, client retention and account expansion opportunities. You’ll work closely with your Account Executives, Client Service support teams, and cross functional teams to maximize the campaign ROI of our customers. Additionally, this role will allow you to use your RTB/Programmatic media buying experience to optimize campaigns and come up with unique solutions that ensure our clients are satisfied with their campaign performance.

StackAdapt is a Remote First company although we are prioritizing candidates located in the NY/NJ area for this role.

What you'll be doing:

Act as the main point of contact for your portfolio of clients across a wide range of verticals
Design unique campaign strategies within the StackAdapt platform
Ensure client campaigns are successful by providing regular reporting on their campaign goals, providing strategic solutions and optimizations to meet identified KPIs
Set up/traffic advertising campaigns on the StackAdapt DSP, including third party tag implementation and pixel creation/troubleshooting
Participate in the identification of upselling opportunities and improve services such as the development of tools, procedures and reports aimed to increase efficiency
Optimize campaigns and recommend new opportunities by analyzing campaign performance on a regular basis
In-person and virtual meetings, presentations, Quarterly Business Reviews and training/education
Provide Strategic Thought Leadership, acting as a strategic advisor to your clients
Travel up to 20% of time

What you'll bring to the table:

6+ years of experience in Real Time Bidding/programmatic expertise (DSP, Ad Network)
Experience running Google Ad Words, Facebook Ads or executed through a DSP as a self-serve user
Proven success in managing client relationships and delivering service excellence
Focus on retaining accounts and growing revenue
The ability to grasp and communicate technical concepts and platform-based knowledge
Familiarity with the latest digital advertising trends and ideas
Experience working with complex databases is a plus

StackAdapter's Enjoy:

Highly competitive salary
Retirement/ 401K/ Pension Savings globally
Competitive Paid time off packages including birthday's off!
Access to a comprehensive mental health care program
Health benefits from day one of employment
Work from home reimbursements
Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
Robust training and onboarding program
Coverage and support of personal development initiatives (conferences, courses, books etc)
Access to StackAdapt programmatic courses and certifications to support continuous learning
An awesome parental leave program
A friendly, welcoming, and supportive culture
Our social and team events!

Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.

We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.

About StackAdapt

We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:

G2 Top Software for 2026
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising

To learn more about our privacy practices, please see our Privacy Policy.

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Skills & Tags

go ai data design marketing sales

Aplyr's read

StackAdapt is a data-driven programmatic advertising platform attracting tech-savvy professionals eager to innovate in digital marketing strategies.
Synthesized from recent postings & public sources

What's promising

•StackAdapt offers a robust platform for data-driven marketing, appealing to tech enthusiasts.
•The company is expanding its global presence, hiring roles in diverse regions like Hong Kong and Mexico City.
•StackAdapt's focus on programmatic advertising provides opportunities for growth in a cutting-edge industry.

What to watch

•Limited public information about StackAdapt's work-life balance and employee satisfaction.
•The competitive digital advertising space may present challenges for sustained differentiation.
•Potential candidates may face high expectations due to the technical nature of the roles.

Why StackAdapt

•StackAdapt specializes in programmatic advertising, setting it apart from generic digital marketing firms.
•The company's data-driven approach enables precise audience targeting, a key differentiator.
•StackAdapt's global hiring strategy reflects its commitment to diverse market penetration.

Aplyr’s read is generated by AI from public sources. Was it useful?