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Sr. Manager, AI Strategy, FinOps & Optimization- FreeWheel

Job in New York, New York County, New York, 10261, USA
Listing for: FinOps Weekly
Full Time position
Listed on 2026-09-18
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 179000 - 268000 USD Yearly USD 179000.00 268000.00 YEAR
Job Description & How to Apply Below
Location: New York

# Sr. Manager, AI Strategy, Fin Ops & Optimization
- Free Wheel New  York Fin Ops
150k+27/06/2026

Full-time

Hybrid Favorite Access  Job##

Job Description Free Wheel , a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

Job Summary  Responsible for establishing a culture of engineering performance, scalability, and financial optimization through the strategic adoption of AI, machine learning, and data platform technologies. Partners with Engineering, Product, Architecture, Data, and Finance teams to evaluate and implement scalable, cost-effective AI solutions across enterprise technology investments. Drives optimization initiatives leveraging platforms such as Snowflake, Aerospike, and Databricks while applying Fin Ops principles, financial modeling, and operational analytics to improve efficiency, reduce infrastructure costs, and maximize business value.

Focuses on identifying, evaluating, and operationalizing AI capabilities, commercial software solutions, and emerging technologies rather than building foundational AI/ML models.  

Job Description  Responsibilities:  Lead the identification, prioritization, and execution of cost optimization initiatives across audience, identity, measurement, decisioning, activation, and platform engineering domains.  Develop and implement AI-driven solutions that improve engineering productivity, automate repetitive tasks, reduce operational overhead, and accelerate software delivery.  Establish and monitor engineering efficiency metrics, including infrastructure utilization, cloud spend, cost per transaction, cost per audience activation, developer productivity, and platform unit economics.  

Lead cloud and infrastructure cost management initiatives across public cloud, data platforms, and distributed systems environments, ensuring optimal resource utilization and financial accountability.  Create governance processes that incorporate cost, efficiency, and operational sustainability into architectural reviews, technical design decisions, and investment planning.  Leverage artificial intelligence and advanced analytics to identify cost anomalies, forecast capacity needs, recommend optimization opportunities, and improve financial predictability.  

Develop executive dashboards and reporting mechanisms that provide visibility into engineering spend, infrastructure utilization, AI adoption, productivity gains, and realized business value.  Drive continuous improvement initiatives focused on reducing technical debt, eliminating redundant systems, simplifying platform operations, and improving engineering velocity.  Build organizational awareness and accountability for engineering efficiency through education, coaching, performance metrics, and operational best practices.  Establish forecasting and planning processes that improve budget accuracy, resource allocation, and long-term infrastructure planning  Define and execute strategies for incorporating AI capabilities into enterprise data platforms, with particular focus on Snowflake, Aerospike, and Databricks environments.  

Evaluate commercial off-the-shelf (COTS) technologies, AI-enabled products, and platform capabilities to accelerate adoption and reduce implementation complexity.  Assess emerging AI, machine learning, and large language model (LLM) technologies and determine practical use cases that drive productivity, automation, and cost efficiency.  Collaborate with…
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