StackAdapt

www.stackadapt.com

5 Jobs

1,362 Employees

About the Company

StackAdapt is a digital advertising platform that specializes in native, display, video, connected TV, audio, in-game, and DOOH advertising.

Our state-of-the-art platform is where some of the most progressive work in machine learning meets cutting-edge user experience. StackAdapt is designed around the three core pillars of programmatic—planning, executing and analyzing.

StackAdapt is ranked as the number 1 DSP on G2. For six consecutive years with over hundreds of reviews, StackAdapt has been recognized as a high performer and the highest-ranking DSP in customer satisfaction by G2. StackAdapt was also recognized as an Enterprise Fast 15 winner as part of the Technology Fast 50™ program in 2023 and is one of Ad Age’s Best Places to Work in 2024.

Learn more about StackAdapt here: www.stackadapt.com. And if you're looking for a change, we'd love to have you on our team—check out our open roles by visiting: www.stackadapt.com/careers.

StackAdapt is headquartered in Toronto, Canada. We have teams and client support across North America, EMEA, APAC, and LATAM.

Listed Jobs

Company Name: StackAdapt
Job Title: Machine Learning Engineer (Remote)
Job Description: **Job Title** Machine Learning Engineer (Remote) **Role Summary** Design and implement scalable, low‑latency machine‑learning pipelines that power real‑time ad optimization across a high‑volume digital advertising platform. Collaborate with data scientists, engineering teams, and leadership to build microservice architectures for training, inference, and monitoring of thousands of ML models concurrently. **Expectations** - Work in a fully distributed environment, primarily remote. - Translate ambiguous product requirements into actionable, technically sound solutions. - Interface with cross‑functional teams to deliver end‑to‑end machine‑learning solutions at production scale. **Key Responsibilities** - Architect and develop modular, high‑throughput real‑time data pipelines capable of handling millions of requests per second. - Implement custom machine‑learning algorithms optimized for low latency and high throughput in a production setting. - Build and maintain microservice architectures that support continuous training, inference, and monitoring for thousands of ML models operating concurrently. - Work closely with Data Scientists to operationalize research and experiment results into production code. - Ensure system scalability, reliability, and maintainability through rigorous testing and performance tuning. **Required Skills** - Strong background in algorithm design, data structures, concurrency, and software engineering best practices. - Proficiency in implementing probabilistic and machine‑learning algorithms. - Experience with distributed systems and scalable architecture design. - Ability to decompose ambiguous problems into clear, actionable steps. - Excellent collaboration and communication skills. - Comfortable working in a remote, distributed team culture. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a closely related field (or equivalent professional experience). - Demonstrated academic excellence (e.g., GPA in the upper tier of a respected program). ---

United kingdom

Remote

13-02-2026

Company Name: StackAdapt
Job Title: Full Stack Engineer, Internal Tools
Job Description: Job Title: Full Stack Engineer – Internal Tools Role Summary: Design, develop, and maintain scalable internal web tools that enable platform operations, such as ad compliance automation and account management. Lead end‑to‑end delivery, from architecture through production, ensuring high quality code and optimal performance. Expectations: - Minimum 2 years of professional experience building web applications with strong UX focus. - Proven ability to work cross‑functionally with Product, Design, and Operations. - Comfortable owning projects from conception to long‑term support. - Strong communication skills to collaborate with stakeholders and conduct code reviews. Key Responsibilities: - Write clean, modular, and well‑tested code for both frontend and backend components. - Design, build, and debug distributed systems that scale across the full stack. - Identify and resolve performance bottlenecks in UI and server logic. - Participate in technical planning and architectural decision‑making. - Develop RESTful and GraphQL APIs, integrate with relational databases, and document interfaces. - Deliver intuitive, polished user experiences for internal teams. - Own projects end‑to‑end, including planning, implementation, launch, and ongoing maintenance. - Contribute to engineering standards through code reviews and design reviews. - Keep the technology stack current by researching and adopting industry best practices. Required Skills: - Frontend: React, Redux, JavaScript, TypeScript. - Backend: Ruby on Rails, GoLang optional, REST, GraphQL. - Database: Proficiency with relational databases (SQL). - Testing: Unit, integration, and end‑to‑end test writing. - Version control and CI/CD pipelines. - Strong problem‑solving and debugging capabilities. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). - Knowledge of AdTech industry and experience building internal tools are desired, but not mandatory.

Company Name: StackAdapt
Job Title: Senior Programmatic Account Manager, France
Job Description: **Job title** Senior Programmatic Account Manager, France **Role Summary** Lead post‑sales client success for programmatic advertising on a DSP platform, driving adoption, optimisation, retention and revenue growth across a diverse portfolio of brands. **Expectations** - 6+ years of experience in real‑time bidding and programmatic media buying (DSP, ad network). - Demonstrated success in managing client relationships, delivering service excellence, and driving account expansion. - Native French speaker, fluent in English. **Key Responsibilities** - Serve as the primary point of contact for a client portfolio across multiple verticals. - Design and execute tailored campaign strategies within the DSP, including campaign setup, ad placement, third‑party tag implementation, and pixel troubleshooting. - Regularly report on campaign performance, provide data‑driven optimisations, and achieve client KPIs. - Identify upsell and cross‑sell opportunities, contribute to tool and process development, and improve service efficiency. - Act as a strategic advisor: conduct presentations, quarterly business reviews, and training sessions for clients. - Travel to client sites for in‑person meetings, agency visits, and events when required. **Required Skills** - Expertise in RTB/Programmatic media buying with hands‑on experience using DSPs. - Proficiency with Google Ads and Meta Ads Manager, or similar self‑serve platforms. - Strong analytical capability to evaluate campaign data and recommend actionable optimisations. - Excellent communication skills to explain technical concepts and platform features. - Awareness of current digital advertising trends and emerging technologies. - Familiarity with complex databases is advantageous. **Required Education & Certifications** - Bachelor’s degree in Marketing, Communications, Business, or a related field. - Relevant programmatic or digital advertising certifications (e.g., Google Ads Certification, Meta Blueprint) are preferred.

Company Name: StackAdapt
Job Title: Software Engineer, Stats & Analytics
Job Description: Job Title: Software Engineer, Stats & Analytics Role Summary: Design, develop, and operate highly scalable, low‑latency micro‑services in Go that ingest and process billions of marketing events daily. Focus on performance, reliability, and data correctness for downstream analytics, reporting, and machine learning pipelines. Expectations: - Minimum 2 years of backend engineering experience. - Strong problem‑solving with data structures, algorithms, and optimization. - Proven ability to build distributed micro‑services and scalable systems. - Hands‑on experience with Go, relational and key‑value data stores, and messaging queues. Key Responsibilities: - Build and maintain real‑time ingestion pipelines for impressions, clicks, conversions, and third‑party signals. - Develop Go micro‑services that interface with Aerospike, Elasticsearch, Redis, ScyllaDB, MariaDB, TiDB, and Redshift. - Create data lakehouse pipelines using Apache Iceberg, Trino, StarRocks, and ClickHouse. - Implement and manage messaging queues (Kafka, SQS, Kinesis). - Optimize code for throughput, latency, and memory efficiency. - Collaborate cross‑functionally with Data Ingestion, Data Platform, and Data Delivery teams to ensure data quality and availability. Required Skills: - Go programming (≥2 years). - Distributed systems design and implementation. - Relational DB experience (Redshift, TiDB, MariaDB) and key‑value store experience (Aerospike, Redis, ScyllaDB). - Data lakehouse technologies (Apache Iceberg, Trino). - Real‑time analytics engines (StarRocks, ClickHouse). - Messaging systems (Kafka, SQS, Kinesis). - Strong knowledge of data structures, algorithms, and performance tuning. - Clean, testable, and efficient coding practices. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience). - Certificate(s) in cloud services, containerization, or database architecture are a plus.

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