Channel Factory

Compensation

Full Description

Channel Factory provides intelligent marketing solutions for the next generation of contextual safety, suitability, and performance for brands and agencies. Our platform helps marketers implement, automate, and scale their marketing programs across the world’s largest video library, YouTube and emerging growth channels. We sit at the intersection of marketing and suitability and have a mission of enabling the world’s top brands to consciously connect with the right audience in the right context, maximizing suitability and contextual performance. Channel Factory embodies a strong start-up culture that values diversity, collaboration, and results. Our bias towards execution balances critical thinking, analysis, and pragmatic problem solving. We expect a lot from one another and value our thoughtful and intellectually curious company culture. Channel Factory is seeking a Senior Manager, Analytics & Insights to drive our evolution from descriptive campaign reporting to systematic performance research and validation. This role will architect analytical frameworks that answer the fundamental question: "What actually drives campaign performance variation?" - serving as the measurement foundation that validates whether data science innovations, targeting solutions, and optimization features deliver measurable business impact. You'll build systematic learning cycles that transform raw campaign data into organizational intelligence, moving beyond dashboard reporting to robust research methodologies that identify causal performance drivers across our brand-safe video inventory marketplace spanning YouTube, Facebook, TikTok, X, LinkedIn, and emerging platforms. Key Responsibilities Performance Research & Market Intelligence - Design and implement systematic performance clustering methodologies to identify campaign performance variations and their underlying drivers - Develop market segmentation frameworks applied to campaign data that reveal hidden patterns in audience behavior and contextual effectiveness - Create hypothesis-driven research cycles that move from exploratory data analysis to validated insights through rigorous statistical testing - Build organizational learning systems that transform ad hoc analysis into systematic competitive intelligence and strategic advantage - Establish measurement protocols that distinguish correlation from causation in campaign performance patterns Data Science Validation & Experimentation - Architect comprehensive A/B testing and experimentation frameworks that isolate the performance impact of data science solutions - Design control group methodologies to measure incremental lift from new targeting algorithms, optimization features, and contextual classification improvements - Build statistical validation protocols that determine whether algorithmic innovations actually improve margins, conversion rates, and client ROI - Create performance benchmarking systems that track the business impact of machine learning model deployments over time - Develop causal inference methodologies that separate genuine algorithmic improvements from market noise and external factors Strategic Research & Client Intelligence - Transform complex analytical research into strategic recommendations that drive campaign optimization and client success - Lead quarterly research cycles that identify emerging performance patterns and competitive insights for account teams - Design custom measurement studies that demonstrate campaign effectiveness and isolate the drivers of client success - Build automated research pipelines that continuously monitor performance variations and alert teams to optimization opportunities - Create client-facing research reports that showcase Channel Factory's analytical sophistication and performance validation capabilities Technical Leadership & Research Methodology - Leverage Starrocks, AWS, Datorama, and Python to build scalable research infrastructure that supports systematic performance analysis - Partner with data science teams to design controlled experiments that isolate algorithmic performance improvements from market effects - Develop feature engineering pipelines that transform raw campaign data into analytical datasets optimized for clustering and segmentation analysis - Create reproducible research workflows that enable quarterly learning cycles and systematic hypothesis validation - Establish statistical rigor and best practices for measuring ROI and business impact of algorithmic innovations Analytics & Research Expertise - 5+ years of experience in performance measurement, market research, or business intelligence with focus on systematic analytical methodologies - Advanced proficiency in Python (Pandas, Scikit-learn, Statsmodels) with demonstrated experience in clustering, segmentation, and hypothesis testing - Strong SQL and data warehousing skills with ability to engineer features from complex campaign datasets - Proven track record in A/B testing, experimental design, and causal inference methodologies - Experience building systematic research frameworks that drive organizational learning and strategic decision-making Media & Marketing Acumen - Deep understanding of digital media buying, campaign optimization, and performance measurement - Experience with walled garden platforms (YouTube, Facebook, TikTok, LinkedIn) and their measurement APIs - Knowledge of brand safety, contextual targeting, and audience segmentation strategies - Familiarity with media mix modeling, attribution, and incrementality measurement approaches - Understanding of programmatic advertising and real-time optimization concepts Technical & Communication Skills - Experience with cloud platforms (AWS preferred) and modern data stack tools - Proficiency in data visualization tools (Tableau, Power BI, or similar) - Strong project management skills with ability to lead cross-functional initiatives - Excellent communication skills with experience presenting to both technical and non-technical stakeholders - Track record of translating complex analytical concepts into actionable business insights Preferred Qualifications - Advanced degree in Statistics, Economics, Psychology, or related research-focused discipline - Experience in ad tech, programmatic advertising, or media research with focus on performance validation - Background in market research, customer segmentation, or business intelligence consulting - Familiarity with reinforcement learning concepts and performance-based optimization approaches - Experience designing systematic research methodologies and organizational learning framework. Work with a leading startup in a high-demand industry, and you would be working with like-minded experts aiming to transform video ad operations Competitive salary + bonus Comprehensive medical benefits (Medical, Vision, Dental, and Life Insurance) Cell phone and Wifi Reimbursement Bill Spend Stipend Work-life flexibility – we value your contributions above all About Channel Factory Founded in 2010, Channel Factory is an award-winning marketing technology company that helps top global brands and agencies maximize YouTube advertising. Recognized as a technology innovator by Cynopsis and one of the fastest-growing companies by Inc., Channel Factory has served over three hundred of the Fortune 500 in delivering scalable, brand-safe, contextually aligned YouTube advertising software and services. By tapping into the deepest proprietary data pool on the market, the company enables highly customized, contextually aware, and dynamically optimized campaigns and provides industry-leading performance for a portfolio of clients across all industries. Channel Factory is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Channel Factory makes hiring decisions based solely on qualifications, merit, and business needs at the time. The company also has employee resource groups focusing on encouraging inclusion and diversity in the workplace, including an LGBTQ+ committee.