Account Manager

Stack Adapt 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 Stack Adapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose Stack Adapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

Reporting to the Manager of Client Services, you’ll play an integral role in post‑sales client relationships as it relates to user adoption of the Stack Adapt 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.

Stack Adapt is a Remote First company although we are prioritizing candidates located in London for this role.

• Act as the main point of contact for your portfolio of clients across a wide range of verticals
• Design unique campaign strategies within the Stack Adapt 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 Stack Adapt DSP, including third‑party tag implementation and pixel creation/troubleshooting
• Identify opportunities to upsell services and contribute to the development of tools, reports, and processes that enhance operational efficiency
• Analyze campaign data to make informed recommendations and uncover new growth opportunities
• Lead in‑person and virtual client meetings, presentations, training sessions, and Quarterly Business Reviews
• Act as a strategic advisor, providing thought leadership and guidance to help clients scale their business
• Travel to meet clients when required, including hosting meetings, agency visits, and client events

• 3+ years of experience in Real Time Bidding/programmatic expertise (DSP, Ad Network)
• Experience running Google AdWords, 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

• 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 Stack Adapt programmatic courses and certifications to support continuous learning
• An awesome parental leave program
• A friendly, welcoming, and supportive culture
• Our social and team events!

Stack Adapt 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  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.