Engineering Director- Ads Measurement

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Join us to transform the way the world works.

Responsibilities

Top Outcomes; Establish a company-standard experimentation and incrementality framework used across LMS AMO; Improve decision quality and speed for product launches and iterations (clear guardrails, power analysis, confidence intervals); Deliver resilient attribution signals that align with privacy constraints and drive better decisioning; Ship measurement features and APIs that increase measurable lift and advertiser trust; Build and retain a high-performing measurement team with clear operating mechanisms; Responsibilities; Own end-to-end measurement strategy for LMS AMO: hypothesis development, experiment design, lift estimation, and causal inference; Define and scale experimentation guardrails: randomized holdouts, multi-cell designs, geo tests, sequential testing, and power/sample-size planning; Lead incrementality measurement across funnel stages (including BOFU), quantifying true lift for conversions, leads, and revenue outcomes; Architect privacy-aware attribution approaches (event-level, conversions windows, view-through policy, path-based and data-driven methods) with robust uncertainty estimates; Partner with PM/Eng to make measurement a product capability: telemetry requirements, experiment platforms, APIs, dashboards, and reviewer workflows; Establish canonical reporting, confidence intervals, and decision thresholds to reduce ambiguity and prevent p-hacking; Collaborate with Privacy, Legal, and Compliance to ensure methods meet regulatory and platform constraints; Create operating rhythms: weekly measurement reviews, pre-mortems/post-mortems, and portfolio-level learning agendas; Mentor and grow measurement scientists and engineers; set clear goals, career paths, and hiring plans; Communicate outcomes to executives and customers in clear, actionable narratives (what changed, by how much, and what we will do next)

Requirements

Basic Qualifications; Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields; 10+ years of experience in leadership positions; Preferred Qualifications; Background in AI/ML techniques with applications to the Advertising domain. Proven experience designing and building scalable, reliable infrastructure for marketing technology platforms, with emphasis on data pipelines, eventing systems, and integration across adtech, CRM, and analytics ecosystems.; A proven track record of delivering end-to-end solutions for high QPS systems, working with massive amounts of data.; Proven experience designing and building scalable, reliable infrastructure for marketing technology platforms, with emphasis on data pipelines, eventing systems, and integration across adtech, CRM, and analytics ecosystems.; Experience managing teams of 50+ individuals and first/second-line managers. Ability to lead by example and inspire the team to perform at a high level, and collaborate very well across different teams.; Good understanding of large-scale engineering systems and some or all of big data technologies like Hadoop, Spark, distributed key-value stores, streaming processes, recommender systems, statistical methods, and experimental design.; Highly motivated and able to work with ambiguous fast-changing problem landscapes, convert vague and ill-defined problems into well-defined problems, take initiative and encourage consensus building across partners.; Strong leadership abilities in order to communicate and drive cross-functional efforts. Good relationship building and people skills.; Publications at conferences and patents are highly desirable.; Suggested Skills:; People Leadership; Ads experience; AI/ML experience; You will Benefit from our Culture:; We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.; LinkedIn is committed to fair and equitable compensation practices.; The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.