StackAdapt

• Inspire clients to set ambitious priorities and build deeper partnerships.
• Lead a team to grow revenue through exceptional client experiences and goal achievement.
• Improve internal collaboration for overarching company goals and client success.

• Act as the main point of contact for your portfolio of clients.
• Design unique campaign strategies within the StackAdapt platform.
• Optimize campaigns and recommend new opportunities by analyzing campaign performance.

• Identifying, pitching, and closing platform sales deals with local agencies and brands
• Working closely with management/product teams to get products specified and built
• Working with your dedicated StackAdapt Account Manager to grow and retain existing accounts by presenting new campaign strategies and solutions to clients, and building strong relationships

• Identify, pitch, and close platform sales opportunities with top-tier agencies and brands.
• Develop and execute comprehensive account strategies that drive both short- and long-term growth.
• Build strong multi-stakeholder relationships across seniority levels in client organizations.

• Lead the creation and optimization of advanced machine learning algorithms to enhance advertising effectiveness and ROI.
• Own the end-to-end development of production-grade ML models and collaborate with Machine Learning Engineers.
• Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data.

• Innovate ML algorithms to maximize ROI and advertising performance.
• Write production code to implement the novel ML algorithms.
• Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights

• Build, design, improve, and debug complex product features and their underlying systems.
• Write extensible, scalable and test-driven code.
• Collaborate with team members on designing scalable, well tested, and well documented web architecture, including APIs and backend systems.

• Architect scalable, low-latency backend systems and data pipelines while writing code as necessary to support the team
• Provide technical leadership in the design of scalable solutions and the establishment of best practices
• Contribute positively to the team's productivity and growth

• Lead and mentor a team of 3-4 talented engineers within full-stack web engineering.
• Act as a hands-on manager and participate in project design and implementation.
• Plan and architect scalable web APIs and backend systems, and build UI components.

• Drive growth across channel formats, focusing on scaling emerging channels.
• Drive enablement and activation across publishers within StackAdapt’s deals library.
• Prioritise programmatic trends to identify opportunities to execute local strategies.

• Lead and mentor a team of 5+ talented engineers.
• Participate in project system design and implementation.
• Promote software development best practices and conduct rigorous code reviews

• Lead forecasting and monthly reporting for key operating cost categories.
• Provide actionable insights and trend analysis to guide business decisions.
• Collaborate with business teams and procurement to evaluate vendor spend.

• Fully own your product designs end-to-end, and solve complex user problems with delightful solutions.
• Conduct user research to understand our users' needs, and translate them into strong user experiences.
• Work with relevant stakeholders to continually test, iterate, and improve on your design ideas to ensure we put our best foot forward.

Lead teams in the development of our integrated marketing platform and have a direct impact on the success of our company. Work with large data sets and have exposure to modern tech stacks React, Typescript, Ruby on Rails, GraphQL, Golang and more. Lead the teams responsible for building and evolving the core platforms that power StackAdapt’s products and engineering organization.

• Managing operational support for inventory partners, ensuring their health, bid quality, and growth.
• Evaluating and leading operational initiatives with partners to unlock new opportunities.
• Troubleshooting complex issues with partners and identifying operational risks.

Design and maintain infrastructure supporting scalable real time data pipelines to handle huge datasets. Develop and support tooling enabling implementation of custom ML algorithms in a low latency environment. Work on infrastructure for running training, inference, monitoring, and deployment on thousands of ML tasks concurrently.