Job Description
Be an Early Applicant
New York NY USA
Hybrid
179K-268K Annually
Senior level
AdTech • Digital Media • Marketing Tech
Empowering all segments of The New TV Ecosystem.
The Role
Lead AI-driven FinOps and engineering efficiency initiatives across Snowflake Aerospike and Databricks. Drive cost optimization governance forecasting and AI adoption; build dashboards metrics and cross-functional programs to reduce infrastructure spend and improve engineering productivity and platform economics.
Summary Generated by Built In
FreeWheel 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 FinOps 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:
Required / Preferred Experience
Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties responsibilities and qualifications.
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race color religion age sex sexual orientation gender identity national origin disability veteran status genetic information or any other basis protected by applicable law.
Skills:
Artificial Intelligence (AI); Innovation; Communication
Salary:
Primary Location Pay Range: $178972.57 - $268458.86
Comcast intends to offer the selected candidate base pay within this range dependent on job-related non-discriminatory factors such as experience. The application window is 30 days from the date job is posted unless the number of applicants requires it to close sooner or later.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan while most non-sales positions are eligible for a Bonus. Additionally Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most and should help you care for those who matter most. That's why we provide an array of options expert guidance and always-on tools that are personalized to meet the needs of your reality - to help support you physically financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
Education
Bachelor's Degree
While possessing the stated degree is preferred Comcast also may consider applicants who hold some combination of coursework and experience or who have extensive related professional experience.
Relevant Work Experience
7-10 Years
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 FinOps 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 platform engineering teams to optimize workload placement platform architecture and storage/compute consumption across Snowflake Aerospike and Databricks.
- Establish measurement frameworks and success metrics to quantify the business impact of AI-driven optimization initiatives.
Required / Preferred Experience
- Experience delivering AI machine learning or LLM-enabled business solutions in enterprise environments.
- Strong understanding of AI/ML concepts and practical application of large language models including evaluation adoption and operationalization.
- Experience with FinOps practices cloud cost management financial planning budgeting and financial modeling.
- Deep experience with Snowflake and its AI/ML ecosystem optimization capabilities and cost management best practices.
- Experience with Aerospike and large-scale distributed data platforms.
- Experience with Databricks for analytics data engineering and AI-related use cases.
- Familiarity with BI and analytics tools such as Looker.
- Experience evaluating and implementing commercial off-the-shelf (COTS) software products and technology platforms.
- Strong ability to translate technical platform capabilities into measurable business and financial outcomes.
- Experience partnering with Engineering Architecture Finance and Product teams to drive enterprise-scale optimization initiatives.
Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties responsibilities and qualifications.
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race color religion age sex sexual orientation gender identity national origin disability veteran status genetic information or any other basis protected by applicable law.
Skills:
Artificial Intelligence (AI); Innovation; Communication
Salary:
Primary Location Pay Range: $178972.57 - $268458.86
Comcast intends to offer the selected candidate base pay within this range dependent on job-related non-discriminatory factors such as experience. The application window is 30 days from the date job is posted unless the number of applicants requires it to close sooner or later.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan while most non-sales positions are eligible for a Bonus. Additionally Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most and should help you care for those who matter most. That's why we provide an array of options expert guidance and always-on tools that are personalized to meet the needs of your reality - to help support you physically financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
Education
Bachelor's Degree
While possessing the stated degree is preferred Comcast also may consider applicants who hold some combination of coursework and experience or who have extensive related professional experience.
Relevant Work Experience
7-10 Years
Skills Required
- Experience delivering AI machine learning or LLM-enabled business solutions in enterprise environments.
- Strong understanding of AI/ML concepts and practical application of large language models including evaluation adoption and operationalization.
- Experience with FinOps practices cloud cost management financial planning budgeting and financial modeling.
- Deep experience with Snowflake and its AI/ML ecosystem optimization capabilities and cost management best practices.
- Experience with Aerospike and large-scale distributed data platforms.
- Experience with Databricks for analytics data engineering and AI-related use cases.
- Familiarity with BI and analytics tools such as Looker.
- Experience evaluating and implementing commercial off-the-shelf (COTS) software products and technology platforms.
- Strong ability to translate technical platform capabilities into measurable business and financial outcomes.
- Experience partnering with Engineering Architecture Finance and Product teams to drive enterprise-scale optimization initiatives.
- Bachelor's degree (or equivalent combination of coursework and experience).
- 7-10 years of relevant work experience.
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The Company
HQ: New York NY
1249 Employees
Year Founded: 2007
What We Do
FreeWheel 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.
Why Work With Us
FreeWheel is an industry leader built on a culture of creativity ingenuity and inclusion. We welcome big ideas give you space to grow and offer the support you need. We’re proud to be a division of Comcast which is consistently rated one of Fortune’s Best Companies to Work For.
FreeWheel Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site: Not Specified
HQNew York NY
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Date Posted
06/27/2026
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