Lead Data Scientist, Relevancy Sciences Data Science & Research – Personalization & Loyalty Strategy (P3764)

Relevancy Sciences Team is responsible for powering relevant, personalized, and scalable customer experiences across Kroger’s e-commerce ecosystem. We build and evolve the science behind search and recommendations that serve millions of customers and support high-scale digital experiences.

We are seeking a Lead Data Scientist to provide technical leadership across search and recommender systems, with a strong focus on modern model architectures, and production-ready machine learning. This role is ideal for someone who combines depth in applied machine learning with strong systems thinking, cross-functional influence, and contributes towards agentic capabilities.

What does the role entail? (Responsibilities)

Technical Leadership, Ownership, and Influence. Own and drive technical initiatives across search & recommender systems. Define and evolve the science strategy for improving content discovery, relevance, personalization, and decision support across digital experiences. Identify high-impact opportunities, make clear technical tradeoffs, and guide the team towards scalable, practical solutions. Rapidly prototype and validate new ideas to accelerate adoption and demonstrate measurable value.

Develop innovative search & recommender systems. Design and build ML solutions tailored to the unique needs of grocery retail domain. Lead the development of systems that improve product discovery and personalization across customer journeys. Bring strong technical and thought leadership on next generation personalization, including the use of Generative AI and agent-based approaches.

Evaluate and improve ML performance. Establish rigorous evaluation methodologies to assess the performance of ML systems across key metrics. Define robust online evaluation frameworks, and guide experimentation strategies that connect model improvements to customer and business outcomes.

Model serving and deployment. Partner closely with Engineering to build and deploy production-ready ML systems. Influence design decisions related to real-time inference, feature access, system integration, monitoring, and reliability. Ensure solutions meet latency, scalability, and operational requirements. Contribute to the evolution of serving and deployment strategies.

Cross-functional leadership. Work closely with Product, Engineering, and business stakeholders to translate needs into clear problem statements, hypotheses, and execution plans. Drive alignment across teams and influence decisions through clear communication of tradeoffs, risks, and expected outcomes.

Mentoring and knowledge sharing. Mentor data scientists and lead technical reviews to improve model quality, experimentation rigor, and systems thinking. Promote best practices in reproducibility and evaluation. Contribute to building a strong, learning-oriented team culture.

What skills and experience do you need? (Requirements)

• Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 6+ years of experience applying machine learning to real-world problems with strong experience in search and recommender systems. Strong understanding of approaches such as embeddings and multi-stage decision systems.
• Strong proficiency in Python and SQL, with experience working on large-scale data using tools such as Spark.
• Experience with modern machine learning and deep learning frameworks such as PyTorch or TensorFlow.
• Strong foundation in statistics, experimentation, and data analysis, including design of experiments and A/B testing.
• Familiarity with large language models, foundation models, and emerging AI capabilities, including where they are applicable and where they are not.
• Experience evaluating or prototyping GenAI-based solutions is preferred.
• Experience partnering with engineering teams to deploy and maintain machine learning systems in production.
• Understanding of real-time systems, model serving, feature pipelines, and monitoring.
• Ability to make practical tradeoffs between model complexity, performance, latency, and scalability.
• Demonstrated ability to lead technical work across projects and influence direction across data science, engineering, and product teams.
• Experience mentoring or guiding other data scientists and contributing to a strong technical culture.
• Experience working with cloud platforms such as GCP or Azure.
• Experience in retail, e-commerce, or high-scale consumer domains is a plus.

Why join our team? (Rewards)

Impact millions of people. As a member of our data science team, you will have the opportunity to make a tangible difference in the lives of millions of customers by delivering relevant and personalized recommendations that enhance their grocery shopping experience. Your work will directly contribute to increasing customer satisfaction and loyalty, driving business outcomes for our company.

Continuous learning and development. Challenge yourself. We are committed to fostering a culture of continuous learning and development. You will have access to resources and support for expanding your knowledge and skills in cutting-edge technologies, including recommender systems, machine learning and artificial intelligence. Our team encourages exploration and experimentation, providing opportunities to stay at the forefront of industry advancements.

Work on new developments in recommender systems. Join a team at the forefront of innovation in recommender systems and AI. You will have the chance to contribute to pushing the boundaries of what’s possible in personalized recommendation technology. You will have the chance to work on exciting projects that leverage the latest developments in deep learning architectures and data science methodologies.

#LI-SSS

Career Opportunity: Community Impact Analyst with Cincinnati Development Fund in Cincinnati, OH

Are you interested in a role that bridges data analysis and community impact? Do you enjoy working with both quantitative data and qualitative insights to tell meaningful stories? Are you motivated by community development and place‑based impact work? If you said yes, we’d love to speak with you!

As the Community Impact Analyst, you will join CDF’s Strategy team to measure and communicate the impact of our lending work by combining data analysis and storytelling. You will analyze loan‑level and market data, engage borrowers through surveys and interviews, and compile impact stories that inform strategy and decision‑making.

You will work closely with the lending, strategy/compliance/programs, and finance teams to ensure data integrity and produce impact reports that support stronger outcomes in underserved communities.

Other Responsibilities Include:

• Maintain accurate and consistent data across CDF’s data collection systems.
• Collect and analyze relevant external data from public sources to inform market and strategic decisions.
• Partner with internal teams to define key performance indicators, track impact, and support strategic planning.
• Analyze loan, project, and community data to assess the reach and effectiveness of CDF’s investments.
• Support grant applications, community engagement efforts, compliance reporting, and capital deployment with data‑driven insights.
• Design and administer surveys and conduct borrower interviews to gather qualitative and quantitative data.
• Translate data into clear metrics, impact narratives, and insights for stakeholders.
• Collaborate with the Strategy team to develop reports, presentations, and impact communications.
• Assist with quarterly and annual compliance reporting.

Qualifications:

• Bachelor’s degree in urban planning, geography, GIS, economics, public policy, finance, communications, or similar.
• 1-3 years of relevant experience (including internships).
• Strong proficiency in Microsoft Office, particularly Excel; experience with Power BI or Tableau preferred.
• Experience working with socioeconomic or community development datasets (Census, ACS, HUD, BLS).
• Strong analytical, organizational, and attention‑to‑detail skills.
• Ability to work effectively across cross‑functional teams.
• Demonstrated interest in equitable community and economic development.
• Experience with research projects and impact measurement or social performance metrics, preferred.
• GIS mapping and spatial analysis experience (ArcGIS, StoryMaps), preferred.
• Experience with basic design tools such as Canva, preferred.
• Familiarity with the Greater Cincinnati region and its housing, planning, and economic development landscape, preferred.

What We Offer:

• Competitive pay: $65,000-$75,000 base salary, depending on experience and qualifications
• Generous paid time off
• Comprehensive benefits options including medical, dental and vision insurance
• Long-term and short-term disability insurance
• 403(b) retirement plan (with company contribution)
• Company-paid life insurance
• Tuition reimbursement
• Technology stipend

Cincinnati Development Fund is a 501(c)(3) nonprofit lending institution that fills a gap not covered by traditional lenders. CDF provides funding for real estate development in underserved markets in the Greater Cincinnati area as well as facilities and equipment funding for nonprofit organizations in the region. CDF’s mission is to provide innovative real estate financing for projects that strengthen low-income neighborhoods and improve lives. Our vision is to be at the forefront of redevelopment plans in Greater Cincinnati, helping low-income communities preserve their historic buildings and create vibrant, inclusive neighborhoods.

Learn More:

https://cindevfund.org/

https://www.linkedin.com/company/cincinnati-development-fund/

Apply online today to join a great team!

A certified Community Development Financial Institution (CDFI) and Community Development Entity (CDE), CDF is an equal opportunity employer and an equal opportunity provider.

The Consumer Research team at 84.51° uncovers the “why” that complements the deep behavioral understanding 84.51° uniquely delivers.  Our focus is uncovering the “Why,” integrating it with the “What,” and turning these insights into human stories and business recommendations that compel actions to be taken that delight our customers in ways no other retailer can.  We strive to consistently bring this human understanding to the business and serve as a strategic partner to leaders at 84.51° and Kroger. 

A Senior Researcher on our Research Insights team is accountable for the creation and execution of research projects start to finish, applying best practices and standards to projects, and delivering actionable results to stakeholders- both internal and external. The role will execute research across a range of methodologies (Quantitative and Qualitative).  Additionally, this role is responsible for leveraging existing data for ad hoc analysis to support a holistic view that raises the collective understanding of our customers’ motivations and perceptions.

CORE RESPONSIBILITIES

Research Execution & Delivery:

• Independently execute research projects end‑to‑end once scope and approach are aligned, including:
• Translating business questions into research objectives
• Designing or customizing questionnaires / discussion guides
• Managing vendors and internal partners through fieldwork
• Conducting analysis and synthesis across qualitative, quantitative, and secondary data
• Developing clear, decision‑oriented insights and recommendations
• Apply strong judgment in balancing speed, depth, feasibility, and cost in execution
• Ensure quality, rigor, and clarity across all deliverables

Stakeholder & Project Management:

• Serve as the day‑to‑day research owner for assigned projects
• Proactively manage timelines, dependencies, and risks
• Communicate clearly with partners on status, tradeoffs, and implications
• Show up as a confident research partner in working sessions and readouts

Ways of Working & Team Contribution:

• Operate effectively within CR request intake, scoping, and prioritization processes
• Leverage existing research, products, and tools before defaulting to custom solutions
• Contribute to shared learning by documenting work, sharing best practices, and flagging patterns across projects
• Partner closely with Lead Researchers, Consultants, CX Measurement, and Research Operations

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• Experience executing multiple research projects simultaneously with minimal oversight
• Comfort working across data types (qual, quant, secondary) and synthesizing into clear stories
• Strong analytical thinking and ability to translate findings into implications and recommendations
• Clear, concise communicator—able to present insights to non‑research audiences
• Strong organizational skills and attention to detail
• Comfortable operating in a fast‑moving, sometimes ambiguous environment
• Tools & Platforms (experience with some preferred): Qualtrics, SPSS/R/Python/Alteryx, Tableau/PowerPoint, insights repositories, and qualitative platforms (e.g., VoxPopMe)

EDUCATION:

• Bachelor’s degree or equivalent, ideally in business, marketing, social sciences, psychology or analytics/statistics.
• 3-5 years of industry experience

#LI-AB1

The Lead Product Manager is the business champion and team linguist that is accountable for maximizing the value of their product in partnership with their development team. You will own the details, requirements, and communication of the business value delivered at the team level. You translate business requirements into product requirements to ensure that your team builds a product that delivers on user needs.  

This role will be the primary product manager for the Data Direct product, an API first product delivering syndicated data assets to clients, as well as the newly launched UI ordering capability. The person in this role is responsible for the strategy and execution of the Data Direct roadmap, shepherding a future of growth for both syndicated and custom assets for clients needing raw data at scale.  A successful candidate will have a deep understanding of product management and iterative software development, as well as exemplify keen stakeholder management and a desire to make our users’ lives easier.  API experience is a bonus.

RESPONSIBILITIES: 

• Establish the strategy for Data Direct, syndicated and custom assets, now and in the future. 
• Oversee product development process including discovery, release breakdown, development, quality assurance testing, stakeholder collaboration, launch, user feedback / research, and iterative roadmap planning.
• Drive business value for the team by prioritizing and ordering product backlog items based on the product roadmap, inclusive of product, engineering, UX and data science roadmaps. 
• Experienced in managing team’s product backlog and ensuring it is transparent, visible and clearly communicated. 
• Partner with cross-functional engineering, agile delivery, experience design, commercial stakeholders and data science peers to translate business desires/requirements into effective features and stories that are ready for development. 
• Outlines clear acceptance criteria, to clearly communicate the definition of “done” 
• Stakeholder management – experienced in building and managing internal and external stakeholder relationships to influence and drive change. 
• Experienced level knowledge in the development and use of product data to influence product decisions/roadmap – both quantitative and qualitative. 
• Deep understanding of the business domain, stakeholders, business processes and constraints in which your product(s) play  
• Deep understanding of customers/users’ problems, how they think and operate and the platforms/technology they use. Ability to become familiar with new technology, business domains, and/or analytical practices that impact your product(s). 
• Understand and communicate organization objectives, strategies and solution needs to the team to facilitate results (where collaborative/as colleague) 
• Manage and communicate dependencies and risks across teams and the organization at large
• Participate in product support triage and on-call rotation to ensure the product is operational and user issues are addressed. 

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United Stated and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

QUALIFICATIONS, SKILLS, AND EXPERIENCE:  

• Proven experience owning API‑driven products where external clients ingest data into their own infrastructure.
• Comfort designing experiences that serve both technical (API) and non‑technical (UI) users.
• Proven ability to understand how clients operationalize data internally (analytics teams, IT, data science, BI).
• Comfortable engaging directly with clients to validate needs, diagnose friction, and prioritize improvements.
• Strong partner to Sales, Account Teams, and Enablement on product positioning, client onboarding, change management when migrating from legacy exports or tools
• Experience with product launch activities including alpha/beta/general release management. Monitor product performance post-launch and make necessary adjustments based on user feedback and/or other user signals.
• Experience partnering with commercial go-to-market, user education, and product support teams
• Experience with product analytics toolkit to measure feature success
• Skilled in managing cross-functional software development teams in an agile environment 
• Skilled in managing business priorities against design/user needs while delivering against product roadmaps 
• Skilled in managing end-to-end software product development as well as solid understanding of data product management. 
• Stakeholder management skills – experienced in building and managing stakeholder relationships to influence and drive change. 
• Problem solving, critical thinking and analytical skills 
• Planning, organizational and time management skills 
• Comfort with ambiguity – remains confident, positive and resourceful in the face of ambiguity and unexpected results; recovers quickly from setbacks. 
• Exhibits qualities of and have proven to be a great teammate 
• Verbal and written communication skills, ability to translate between business and technical 
• Technical acumen – grasps the technical details to lead a team 
• 4-6 years relevant experience 
• Education: Bachelor’s degree or equivalent experience 

#LI-EB1

Lead Technical Product Manager(G3) 

LOCATION: Chicago/Cincinnati 

COMPANY OVERVIEW: 

84.51° knows customers, and we know how to connect you.  

Using a sophisticated, proprietary suite of tools and technology, we turn customer data into actionable knowledge. With unparalleled customer data and predictive analytics capabilities, we deliver personalized marketing strategies and ensure the best experience for customers of Kroger and more than 300 consumer-packaged-goods companies. We put the customer at the center of everything we do, resulting in a more dynamic, informed and personal approach to driving customer loyalty. 

SUMMARY:  

The AI Enablement team builds foundational AI capabilities that transform Kroger and 84.51, including better solutions and outcomes for our shoppers and our associates. AI Gateway is a cross-functional team within AI Enablement responsible for the primary AI model and API infrastructure that powers these solutions and democratizes access to AI across the org. As the Product Manager for this team, you will work closely with the Director of Product, Tech Leads for the AI Gateway, and cross-functional design and development teams. 

The LEAD PRODUCT MANAGER is the chief navigator, business champion, and team linguist that is accountable for setting team priorities and maximizing the value of the product results from the work of the development team. You own the details of the business and technical value delivered at the team level. You translate business requirements into product requirements to ensure that the product delivers on user needs. You own the measurement of the value delivered and other metrics for your product. This role requires excellent organizational and communication skills, technical acumen, and artificial intelligence domain knowledge. 

RESPONSIBILITIES:  

• Drive business value for the team by prioritizing and ordering product backlog items based on the product roadmap, inclusive of product, engineering, UX and data science roadmaps. 
• Experienced in managing multiple teams’ product backlogs in parallel and ensuring they’re transparent, visible and clearly communicated.
• Partner with cross-functional engineering, UX and data science peers to translate business desires/requirements into effective features and stories that are ready for development.
• Outlines clear acceptance criteria, to clearly communicate the definition of “done”.
• Partner with external contractors or technical support to ensure the delivery of the scope of work, within the agreed timeline, and in accordance to the stated acceptance criteria.
• Deep understanding of the business domain, stakeholders, business processes and constraints in which your product(s) play 
• Deep understanding of customers/users’ problems, how they think and operate and the platforms/technology they use. Ability to become familiar with new technology, business domains, and/or analytical practices that impact your product(s). 
• Understand and communicate organization objectives, strategies and solution needs to the team to facilitate results (where collaborative/as colleague)
• Manage and communicate dependencies and risks.
• Stakeholder management – experienced in building and managing internal and external stakeholder relationships to influence and drive change.
• Experienced level knowledge in the development and use of product data to influence product decisions/roadmap – both quantitative and qualitative.
• Clearly communicate the value of the work being delivered

QUALIFICATIONS, SKILLS, AND EXPERIENCE:  

• Professional work experience in artificial intelligence / Generative AI applications.
• Experience managing and/or developing an API-based product or developer tooling.
• Experience managing and/or developing cloud-based solutions in Azure or Google Cloud.
• Experience scaling apps or systems to meet high-availability and resiliency requirements for critical internal and customer facing solutions.
  • Experience managing and/or working on a team that deploys AI/ML models in cloud-based settings.
  • Technical acumen – possess the foundational technical knowledge needed to communicate with the technical team, understand blockers/trade-offs, and incorporate technical needs in the roadmap.
  • Experience navigating corporate governance processes including Security, Cloud, Privacy, Data Sharing, and Legal.
• Skilled in managing cross-functional software development teams in an agile environment
• Skilled in managing business priorities against design/user needs while delivering against product roadmaps
• Skilled in managing end-to-end software product development.
• Stakeholder management skills – experienced in building and managing stakeholder relationships to influence and drive change.
• Problem solving, critical thinking and analytical skills
• Planning, organizational and time management skills
• Comfort with ambiguity – remains confident, positive and resourceful in the face of ambiguity and unexpected results; recovers quickly from setbacks.
• Exhibits qualities of and have proven to be a great teammate
• Verbal and written communication skills, ability to translate between business and technical
• 4-6 years relevant experience
• Education: Bachelor’s degree or equivalent experience

ADDITIONAL SKILLS OF INTEREST (NOT REQUIRED) 

• Prior experience as a software engineer or Technical Product Manager – many of our customers are software engineers and data scientists.
• Experience leveraging various Generative AI chat tools (ie M365 Copilot, ChatGPT, Gemini, Claude) to simplify your life, work, or otherwise automate processes and accomplish previously impossible things. 
• Experience developing AI Agents using an agent builder or agent framework.
• Experience developing or using MCP servers.
• Experience using coding agents (ie Claude Code, Codex, Gemini CLI, Github Copilot).

84.51° is a retail data science, insights, and media company that helps brands grow by delivering smarter, more accountable marketing powered by Kroger’s first-party data. Kroger Precision Marketing (KPM) is our commercial arm, enabling brands to connect with customers through insights, incentives, and media.

Role Summary

Kroger Precision Marketing (KPM) recently launched a new AI Platform team to help product teams bring safe, scalable AI to market across our brand-facing platforms. We do that by (1) consulting on standards and guardrails; (2) accelerating reusable tools and early features, then transitioning long-term ownership to product teams; and (3) operationalizing a repeatable way to ship, monitor, and improve AI at scale.

As a Product Manager on this team, you will work alongside other PMs and a Product Director who sets the overall vision and strategy. You will own end-to-end initiatives that span multiple projects and features, from discovery through delivery and adoption, and you will be accountable for the business outcomes and KPIs those initiatives drive. You will also build and evolve reusable AI tooling for other teams, and consult with those teams to align strategies, reduce duplication, and ensure we ship AI consistently and safely across KPM’s brand-facing platforms.

Key Responsibilities

• Build the game plan: translate the AI portfolio vision into a clear roadmap for your initiatives
• Pick the right bets: focus the roadmap on the highest-impact work by weighing impact, effort, and risk, and deprioritizing the rest
• Stay ahead of the market: stay current on AI trends, vendors, and competitor moves, and use those insights to inform recommendations and influence our strategy
• Have a point of view, stay curious: form a clear perspective, seek input early, and adjust quickly when evidence points to a better approach
• Get close to users: partner with Experience Design to run discovery and define what we will build, why it matters, and why now
• Ship with momentum: drive delivery with Agile Delivery, Data Science, and Engineering by managing scope, dependencies, risks, tradeoffs, and timelines
• Prove and improve: measure outcomes against business KPIs, collect user and stakeholder feedback, and iterate based on real signal (qualitative and quantitative)
• Make it stick: support rollout and adoption, then hand off with clear enablement and accountability
• Scale the capabilities: own reusable AI capabilities, including skills, patterns, and tooling, that help teams across the company build smarter and faster
• Tell the story: communicate progress, tradeoffs, and decisions with clarity, and raise risks early with context and options
• Be the go-to partner: earn trust through strong follow-through, clear communication, and reliable decision-making, while balancing confidence with humility

Minimum Qualifications

• Product management: 3–5 years of product management experience
• AI/ML delivery: familiarity with the AI/ML product lifecycle, including data readiness, model development, deployment, monitoring, and governance
• GenAI fundamentals: working knowledge of prompting, retrieval-augmented generation (RAG), agent patterns and skills, and quality and safety evaluation
• Roadmap: ability to set priorities and drive execution independently
• Decision-making: ability to make calls, clarify tradeoffs, and create clarity in ambiguity
• Delivery: experience partnering with Experience Design, Data Science, Engineering, and Agile Delivery
• Communication: ability to translate between technical and business teams, manage stakeholders, and raise risks early with context and options
• Metrics: ability to define success, measure outcomes, and iterate based on real signal
• Leadership: a humble, direct leadership style, comfortable saying “I don’t know,” and confident leading toward an answer
• Collaboration: ability to move fast within security, governance, and complex stakeholder environments

Preferred Qualifications

• B2B platform: experience building products for large, diverse internal or external user bases
• Industry: familiarity with retail analytics, retail media, adtech, and data-driven marketing platforms
• Technical fluency: background in engineering, data science, analytics, or a highly technical product area, with the ability to go deep on architecture and delivery tradeoffs
• Experimentation and measurement: product analytics experience defining success metrics, selecting the right measures for the job (for example, using Google’s HEART framework), and running experiments to quantify user and business impact

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Director, Product Management Kroger Advertising Platform

Summary:

The Director of Product Management will lead at scale, leveraging technology, product, and design expertise to address complex customer challenges while aligning with business objectives. This role requires a visionary leader with deep experience in building omnichannel activation platforms, stakeholder engagement, and the ability to oversee large, cross-functional teams. The Director will shape product vision, strategy, and innovation while ensuring scalable, engineering-ready solutions that integrate seamlessly with company platforms. They will also be accountable for evolving the organization’s media and adtech capabilities, driving innovation across omnichannel activation, and establishing partnerships with platform and technology providers to deliver integrated solutions at scale. This leader will bring a strong product mindset paired with technical acumen, enabling them to drive the development of API-first platforms anchored in agentic interaction to enable seamless, user-friendly media buying and activation.

Responsibilities:

• Product Vision and Strategy: Define and champion a long-term, business-level product vision for omnichannel activation. Ensure alignment with overarching business strategies and evolving client needs. Lead product discovery at scale and guide development of multi-year roadmaps.
• Stakeholder Management: Build and manage relationships with senior stakeholders, influencing strategy and driving organizational change. Clearly communicate the business impact, client value, and ROI of major platform initiatives.
• Product Development and Execution: Oversee end-to-end platform development across multiple workstreams. Ensure solutions are API-first, engineered for scale, and designed to integrate seamlessly with adtech and martech ecosystems. Prioritize platform features based on market trends, partner opportunities, customer needs, and business imperatives.
• Team Leadership and Development: Lead, develop, and mentor a large team of product directors and product managers. Establish and scale best practices, attract and retain top talent, and foster a high-performing, innovative, and inclusive team culture.
• Customer, Market, and Media Insights: Drive comprehensive research and analysis across media, adtech, and omnichannel activation trends. Translate industry shifts, consumer behavior, and technology advancements into actionable platform strategy.
• Data-Driven Decision Making: Promote a data-driven culture, leveraging both quantitative and qualitative insights to inform strategy, measure performance, and iterate rapidly across portfolios.
• Innovation and Culture: Serve as a champion for innovation in media and adtech. Ensure products are designed for API-first extensibility and agentic interaction, advancing the organization’s position as a leader in omnichannel activation. Promote a culture of curiosity, creativity, and disciplined experimentation.
• Cross-Functional Collaboration: Partner closely with commercial, technical, and platform leaders to align resources and integrate omnichannel activation at scale into client solutions. Drive cross-domain initiatives that require coordination and execution across multiple business areas.
• Domain Expertise: Demonstrate deep expertise in media, adtech, and omnichannel platform development. Navigate complex partner ecosystems to scale offerings and deliver seamless, user-friendly media buying and activation experiences. Ensure products are engineered with technical precision while remaining client-ready and intuitive.

Qualifications, Skills, and Experience:

• Proven experience leading large-scale product management organizations, including managing directors and senior product leaders.
• Expertise in media and adtech platforms, with a record of delivering scalable, innovative omnichannel solutions.
• Demonstrated success building and scaling API-first platforms with agentic interaction capabilities.
• Strong stakeholder management and executive communication skills, with the ability to influence at the business level. Advanced problem-solving, critical thinking, and analytical skills.
• Ability to plan and execute across multiple portfolios while navigating ambiguity and balancing competing priorities.
• Excellent verbal and written communication skills; able to translate between business, technical, and media/adtech domains.
• Technical acumen to lead advanced platform development, including APIs, integrations, and media activation solutions.
• 10–15+ years of relevant experience, with significant leadership responsibility.
• Bachelor’s degree or equivalent experience; advanced degree preferred.

#LI-EB1