Engineering Manager - CTV

We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data, and smart targeting. Through over 1 trillion monthly ad transactions, we help publishers and platforms monetize their businesses. Our technology is where the world's leading brands find audiences across online video, connected television, display, and native ads. Brand and enterprise customers choose us because of our innovative solutions, premium formats, and supportive experts dedicated to maximizing their performance. As part of the Vista Equity Partners portfolio, we are NMSDC certified, qualify for diverse spending goals, and are committed to economic inclusion. Find out how TripleLift raises up the programmatic ecosystem at triplelift.com. The Role Triplelift, a fast-growing startup tackling some of the most challenging problems in the world of digital advertising, is seeking a highly skilled and experienced Data Analytics Manager to join our Data Science team. As the Manager for the Data Analytics team, you will play a crucial role in analyzing ad inventory, bidding strategies, and performance metrics to identify trends, patterns, and anomalies that inform strategic decision-making aimed at maximizing revenue and Exchange efficiency. You will also build and mentor a team of proficient, outcome-driven Data Analysts. The ideal candidate will have a strong background in statistical analysis, data manipulation, and data visualization techniques, with a demonstrated history of recruiting and managing a team of exceptional data analysts. They will possess excellent problem-solving skills, attention to detail, and the ability to communicate findings effectively to stakeholders at all levels. Collaboration will be key in this role, as you will work closely with Product Development, Data Science, Engineering, and Marketplace teams to ensure that data-driven insights are seamlessly integrated into Triplelift's overarching strategy. Your leadership will be instrumental in fostering a culture of innovation and continuous improvement, driving the team towards excellence in data analytics and maintaining a high standard of analytical rigor within the team. Responsibilities Lead, hire, manage, and mentor a proficient team of data analysts focused on analyzing data from the Triplelift exchange, and build the function into a center of excellence for data analytics across the organization. Lead by example, set strong precedents for the team, and implement effective processes and practices to ensure consistent and effective delivery. Plan, coordinate, and manage the team's workflow to ensure optimal productivity and timely completion of tasks. Collaborate with cross-functional teams to define project objectives, data requirements, and analytical approaches, and help integrate data-driven insights into company strategy. Conduct ad-hoc analyses, provide guidance on analytical techniques and best practices, and provide analytical support to various departments as needed. Develop and implement advanced analytical models and algorithms to extract meaningful, actionable insights from data to inform strategic decision-making. Interpret and communicate findings through insightful reports, presentations, and data visualizations. Foster a culture of innovation and continuous improvement within the Data Analytics team. Contribute to the development and enhancement of data infrastructure, including data collection, storage, and retrieval systems. Stay up-to-date on emerging trends, tools, and technologies in data analysis. Qualifications Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics). Master's degree preferred. 7+ years of experience in data analytics, with 1+ years in a managerial capacity, with a proven track record of delivering actionable insights and driving business impact. Ability to work independently and collaboratively in a fast-paced environment, juggling managerial and IC responsibilities, while managing multiple priorities and deadlines effectively. High level of proficiency in data analysis tools and programming languages (e.g., SQL, Python, R). Strong analytical and quantitative skills, with expertise in statistical methods, hypothesis testing, and regression analysis. Familiarity with monitoring and measuring statistical modeling performance with the ability to quickly build dashboards using tools like Grafana, Looker, etc. Strong attention to detail and a commitment to delivering high-quality work. Knowledge of AdTech platforms and industry trends is a plus. Education Requirement B.S., M.S., or Ph.D. in Computer Science or equivalent experience (>=M.S. preferred). Life at TripleLift At TripleLift, we're a team of great people who like who they work with and want to make everyone around them better. This means being positive, collaborative, and compassionate. We hustle harder than the competition and are continuously innovating. Diversity, Equity, Inclusion and Accessibility at TripleLiftAt TripleLift, we believe in the power of diversity, equity, inclusion, and accessibility. Our culture enables individuals to share their uniqueness and contribute as part of a team. With our DE&I initiatives, TripleLift is a place that works for you, and where you can feel a sense of belonging and support. TripleLift is proud to be an equal opportunity employer.

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