Remote Jobs at StackAdapt

Candidates should possess a Master's degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees being a plus. They must demonstrate the ability to break down ambiguously defined tasks into actionable steps and have a comprehensive understanding of statistics, optimization, and machine learning. Proficiency in coding, data structures, and algorithms is also required.

Candidates should possess at least 5 years of experience building highly performant web applications with outstanding UX, experience collaborating closely with Product and Design, and experience working with relational databases and key-value stores. They should also have experience analyzing, benchmarking, and optimizing web application page load performance across the entire stack, along with experience working on large-scale Ruby on Rails or Go projects and familiarity with Server Side Render…

Candidates should possess at least 3 years of experience in Infrastructure or Cloud/Backend engineering, and at least 3 years of experience with AWS or another cloud provider. Strong programming skills are required, along with experience in developing and maintaining infrastructure services for other engineers to manage, deploy, and scale infrastructure. Experience with infrastructure as code, intrusion/malware detection, business continuity, and disaster/recovery planning is also necessary.

Candidates should possess digital advertising sales experience, with programmatic advertising experience being a plus. They should have utilized various CRM tools to build a robust pipeline, ensured ongoing client satisfaction, renewal, and opportunity discovery, and have a track record of success in a quota-carrying environment. Strong ability to grasp and communicate technical concepts and platform-based knowledge is also required, along with willingness to travel occasionally to meet with cli…

Candidates should possess at least 5 years of experience in full-stack software development with expertise in web technologies and architecting scalable systems within a high-growth technology company, along with at least 1 year of leadership experience managing high-performing teams. Strong experience with GoLang, Ruby on Rails, React, GraphQL, and modern tech stacks is expected.

Candidates should possess a Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, with a Master's degree being a plus. They must have 3-5 years of technical product management experience in the advertising technology space, demonstrating a proven track record of delivering impactful projects. Strong proficiency in Ad servers, bidding, auctions, DSPs, SSPs, and MMPs is required, along with experience building CTR and CVR-type models. A deep understanding of ads inf…

Candidates should possess a Bachelor's degree and have a proven track record of success in selling complex solutions to Fortune 500 brands and leading advertising agencies, with a solid understanding of the programmatic ecosystem. Strong leadership skills and experience building and managing high-performing sales teams are essential, along with the ability to craft and execute a winning sales strategy.

Candidates should possess a Master’s degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees being a plus. They should have the ability to break down ambiguous tasks into actionable steps and demonstrate a comprehensive understanding of statistics, optimization, and machine learning. Proficiency in coding, data structures, and algorithms is also required.

Candidates should have digital political advertising sales experience, preferably with programmatic knowledge, an entrepreneurial mindset to seek and win new business, experience utilizing CRM tools, a track record of success in a quota-carrying environment, and the ability to grasp and communicate technical concepts.

Candidates should possess a Bachelor’s degree in Computer Science or a related field, along with 3+ years of experience in full-stack web engineering, and a strong understanding of Ruby on Rails, React, GraphQL, Redis, Elasticsearch, Amazon Redshift, and other relevant technologies. Experience with 1st Party Data Attribution (1PDA), Brand Lift Studies (BLS), Incremental Reach (ACR), and Footfall Attribution (FTA) measurement studies is preferred.

Candidates should have proven experience in a relevant sales role with both prospecting and closing experience, experience in media, marketing, and advertising industry preferred, strong communication and interpersonal skills, a growth mindset with a positive attitude and willingness to learn, strong organizational skills, and the ability to problem-solve and be adaptable.

Candidates should possess digital advertising sales experience, preferably with programmatic advertising, and a proven track record of success in a quota-carrying environment. They should also be able to grasp and communicate technical concepts, build client pitch decks, and utilize CRM tools to manage a robust sales pipeline.

Candidates should possess at least 5 years of experience as a Backend Software Engineer, with proven exposure to large-scale distributed systems and data pipelines, specifically within a mobile user acquisition environment. They must have a strong understanding of event-driven architectures and the ability to design and maintain high-performance, data-intensive microservices, primarily in Go.

Candidates should possess a Bachelor’s degree in Computer Science, Business, Data Science, or a related field, with a Master’s degree being a plus. They should have 3-5 years of experience as a Product Manager (Technical) with a proven track record of delivering impactful solutions in advertising technology, along with expertise in ad serving and bidding processes.

Candidates should possess a Bachelor's degree in Computer Science or a related field, ideally from a well-respected university, and have demonstrated experience in algorithm and software design, concurrency, and data structures. Strong experience in implementing probabilistic or machine learning algorithms is essential, along with a deep understanding of scalable distributed systems.