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.
About the Team:
The Programmatic Bidding team powers our Adtech platform by processing billions of ad auctions every day at millisecond latency. Our Bidding team designs, and builds scalable microservices that span every core aspect of the Adtech pipeline—including pacing, machine learning, bid price optimization, user-profile enrichment, and more. The StackAdapt bidding platform supports hundreds of thousands of advertisers, delivering real-time, intelligent and performant bidding decisions ensuring that every bid is both efficient, and strategically aligned with our customer's business goals. We empower our customers with the best performance driven platform for them to drive the best business decisions, and ROI.
The ideal candidates we're looking for must have proven experience in Adtech, exceptional analytical thinking, and superior execution skills. You'll thrive here if you are eager to build and experiment with new technologies and approaches, and can back your ideas with rigorous analysis and data-driven, pragmatic approaches.
What You'll Be Doing:
- Lead and collaborate with a team of engineers to design, implement, and optimize our programmatic bidding systems.
- Apply analytical, data-driven, and statistical methodologies to problem solving. Continuously optimizing programmatic performance through experimentation and quantitative analysis.
- Collaborate with ML engineers to architect and to build complex, innovative solutions that pushes the boundaries of programmatic advertising capabilities, and drive impactful business results.
- Rigorously optimize large-scale distributed systems capable of handling billions of requests per second with ms-level latency, ensuring high throughput and infrastructure performance under demanding workloads.
- Partner with Product teams to ship innovative features that advance the company's vision, and drive competitive advantage.
- Embody the team mission. Be adaptable, and ground development efforts in pragmatic, results-oriented decision making.
- Foster operational excellence across engineering and backend teams by cultivating a culture of trust, transparency and technical excellence
- Clearly articulate development ideas and hypotheses, openly embrace technical feedback to support collaborative innovation and continuous improvement.
What You'll Bring to the Table:
- 3+ years of experience in AdTech or MarTech, ideally working on high-scale or performance-critical systems.
- Advanced programming expertise in Go (or strong proficiency in comparable languages such as C++, Java, Scala, or Rust). We value engineers who can deliver high-performance applications regardless of language.
- Experience applying machine learning, mathematics, and numerical methods—including deploying large-scale models and real-time inference systems in production. (This is an applied engineering role, not research-focused.)
- 5+ years of experience in software development, particularly building high-throughput, low-latency distributed systems and architecting scalable microservices or data pipelines in a fast-growing tech environment.
- Hands-on experience with multiple database systems, with a solid grasp of their trade-offs and performance considerations.
- Strong foundation in computer science fundamentals, including data structures and algorithms.
- Up-to-date knowledge of modern technologies, tools, and frameworks, with curiosity to continuously learn and evolve.
- Bonus: Interest or experience in computational graphics, GPU programming, game development, game theory, or financial trading systems.
The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.
This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.
Factors Influencing Final Compensation:
- The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.
- Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.
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.
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
