Senior Data Scientist Consultant, Managed Agent Platform (MAP) – Agent Platform Team P2392 

Summary 

The Agent Platform Team, within AI Enablement at 84.51°, owns and manages the core platforms that power data science and AI across the organization. This role sits on the MAP (Managed Agent Platform) squad and is focused on helping stand up a new, centralized platform that simplifies and accelerates the design, development, deployment, and monitoring of AI agents across the organization. 

The MAP is being built in response to growing demand for a flexible, no-code/low-code solution that enables both technical and non-technical users to build and deploy agents without deep engineering overhead. The platform is early-stage — the team is actively evaluating different platforms and tooling, defining workflows, and establishing standards. You will be joining at the ground floor and helping shape what this platform becomes. 

You will be the bridge between the engineers building/maintaining the MAP and the data scientists and agent builders who will use it. You are not building agents for end-clients. Instead, you ensure the platform works for the people on it — that capabilities are tested, documented, and adopted smoothly, and that practitioner needs make it back to the engineering team in a way that shapes the roadmap. 

You’ll bring hands-on familiarity with the open-source agent ecosystem — including frameworks like LangChain, LangGraph, Google ADK, and OpenAI Agents SDK — and apply that knowledge to evaluate platform capabilities, inform design decisions, and help practitioners understand what’s possible. As the platform matures, you’ll help onboard users, develop best practices, and drive adoption across the organization. 

This is a small, engineer-heavy squad that is standing something up from scratch. Everyone pitches in on a bit of everything. Priorities will shift frequently as the platform takes shape. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority. 

Responsibilities 

• Voice of the practitioner: Serve as the primary liaison between data scientists and agent builders and the MAP engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions, standards, and the roadmap. 

• Platform evaluation & definition: Help evaluate and select platform tooling and contribute to defining core platform capabilities — including agent building workflows, orchestration patterns, tool/API connectivity, observability and tracing, evaluation frameworks, and governance controls. Test and document findings, recommended use cases, limitations, and rollout considerations. 

• Onboarding & enablement: As the platform matures, write guides, maintain documentation, lead training sessions, and run office hours to help data scientists and agent builders adopt the MAP. Serve as a first line of support when teams hit roadblocks. 

• Adoption & communication: Evangelize the MAP to increase awareness and drive adoption across the organization. Produce clear communications and materials for both technical and non-technical audiences. 

• Cross-functional collaboration: Work closely with engineers, the solution architect, and product lead on the squad to ensure platform capabilities have well-defined use cases and that guidelines and best practices are established. Act as an agent-building ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices. 

• Governance & compliance support: Help validate that platform capabilities meet enterprise requirements around security, compliance, observability, scalability, and data governance. 

Qualifications & Experience 

• Bachelor’s degree in mathematics, statistics, computer science, economics, or a related discipline. 

• 2–4 years of experience in data science, AI/ML development, or applied analytics. 

• 2–4 years of experience in tech consulting, retail analytics, or related professional services. 

• Hands-on experience with Python and SQL. 

• Hands-on experience with one or more agent frameworks (e.g., LangChain, LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, AutoGen) is required. 

• Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams. 

• Experience partnering with software engineering and/or product management teams. 

• Familiarity with LLMs, prompt engineering, and agentic AI concepts. 

• Exposure to agent platforms is a strong plus. 

Skills 

• Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation. 

• Ability to influence across teams and seniority levels without direct authority. 

• Comfort operating in ambiguity — this platform is early-stage, and priorities will shift frequently as the team learns what works. 

• Strong project and time management skills; able to manage multiple priorities with minimal oversight. 

• Deep curiosity about the agentic AI ecosystem and a genuine desire to become a subject matter expert on agent orchestration, evaluation, observability, and deployment patterns. 

• Comfort working on a small, engineer-heavy team where you are often the only non-engineer voice in the room. 

#LI-SSS

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

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 States and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status)

You will be joining a team of data scientists operating within the PL&S at 84.51°. Our team partners across multiple portfolios, including Our Brands, Kroger Personal Finance, and the Kroger Enterprise Marketing organization, to support media strategy & execution, targeting, measurement, and enterprise level marketing initiatives.

We work closely with the Our Brands and Kroger Personal Finance teams to plan, execute and measure targeted media and deliver insights that drive growth and efficiency. The team leads the execution of brand loyalty mailers for the Big 3 Our Brands, with a focus on rewarding high‑brand‑loyal households that drive the greatest business value. We also collaborate with Kroger Marketing to execute and measure activations across a range of initiatives, ensuring data driven insights inform business decisions.

Our team is known for being subject matter experts of KPM processes for Kroger Model and owners of a broad set of analytical and external-facing tools. We solve complex client and customer problems by applying the most appropriate statistical and analytic approaches to answer meaningful business questions. In this role, you will be on the front lines supporting Sales and Account Management partners, while also developing deep expertise in retailer data.

You will work hands-on with large-scale retailer databases and leverage the full suite of 84.51° technical and visualization tools, including Python, SQL, Excel, Power BI, and internal platforms, to deliver timely, relevant, and actionable insights. We expect all data scientists on our team to be deeply engaged in advanced analytics and comfortable working directly with data to drive impact.

Responsibilities:  

• Lead end-to-end analytics and data science projects, managing stakeholders and delivering solutions on time, within scope, and to business objectives.
• Develop a strong understanding of the end-to-end CRM (Our Brands Loyalty Mailer) targeting and measurement process to ensure the timely, accurate delivery of mailers and the generation of actionable insights. 
• Apply optimizations and scientific enhancements in targeting to improve customer engagement and maximize ROI.
• Partner closely with Sales and Account Management to own the analytic relationship for OB, driving engagement and shaping analytical offerings through feedback and insight.
• Translate complex first-party data into clear, actionable customer stories and recommendations that inform media strategy, optimization, and business decisions.
• Drive continuous improvement through stronger measurement methodology, increased automation, and clearer data visualization that leads to more actionable insights.
• Attain deep expertise in 84.51° and KPM data assets, measurement techniques, QA processes, and analytic capabilities, confidently applying them to internal and external business needs.
• Collaborate across data science, product, engineering, and capabilities teams to validate new use cases, assess data quality, and support innovation.
• Mentor and support junior data scientists through onboarding, coaching, and knowledge sharing, while championing best practices across the data science community.

Qualifications, Skills and Experience: 

• Bachelor’s degree in statistics, mathematics, business analytics, economics, marketing, or related discipline.
• 2+ years of experience in retail, ad technology, digital media, and/or advertising analytics.
• 2+ years of experience in data science, ad technology, digital media, and/or advertising analytics.
• 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to clients.
• 2+ years of experience using advanced algorithms, programming languages (Python, SQL), or technologies in the development of technical analytics solutions, capabilities, and ad hoc analyses.
• Experience working cross-functionally to continuously improve existing solutions based on client feedback and validated demand.
• Strong interpersonal and communication skills including excellent verbal, written, presentation, and consultation skills.
• Comfortable conveying complex data science techniques and methodological approaches to less technical audiences – both internal and external.
• Strong analytical, problem-solving and decision-making skills.
• Strong data visualization and business acumen skills to link analysis to business impact (grocery and/or retail experience is a plus).
• Natural curiosity that welcomes and embraces ambiguity and change, with a willingness to try new things and to fail.
• Excellent attention to detail, organization skills and ability to work in a collaborative environment.

#LI-AB1

At 84.51°, people are the key to everything. We are dedicated to always doing what’s right and never compromising on our values. That’s why we have created a culture where every opinion is respected, and contrary thinking is encouraged. Making life more rewarding for our community and our associates is an essential part of the process. Our team is known for their enthusiasm, camaraderie and sense of fun. We work hard and we play just as hard. That’s why we engage in a range of official and unofficial activities to get together, serve the community, and have fun. We continually seek people who make us better. In order to continue to grow, we need more great people who want to join us in doing cool, industry-changing, brain-stimulating work.

RESPONSIBILITIES:

As a Senior Consultant at 84.51°, you will execute against our customer-first plan for our partners by using customer, market, and human insights to make customers’ lives easier. The customer’s voice influences every decision as you identify opportunities, develop solutions, activate insights and evaluate the impact on customers for Kroger and CPGs.

Your primary client is Kroger, one of the world’s largest retailers. You will build trusted relationships with stakeholders and use influence to shape decisions that drive long-term customer loyalty.

Key Responsibilities:

• Turn insights into customer-first merchandising recommendations: Synthesize customer, market, and performance inputs into clear guidance across assortment, pricing, promotions, and omnichannel experience.
• Lead cross-functional workstreams from question to recommendation: Define the business problem and success metrics, shape the analytical and/or research approach, and partner with analytics/research teams to deliver actionable learning and recommendations.
• Shape digital growth priorities: Build scalable frameworks and decision tools that help teams focus on the highest-impact categories and initiatives to improve the digital customer experience and business performance.
• Scale through automation and integration: Automate repeatable work and embed outputs into existing tools and operating rhythms—reducing manual effort while improving consistency, adoption, and speed.
• Provide strategic client consulting: Be a go-to customer strategy partner for Kroger—engaging when needed to bring customer and behavioral insights into planning, challenge assumptions, and help leaders set priorities and make decisions.
• Communicate with clarity and credibility: Create audience-appropriate deliverables (slides, briefs, and emails) that are ready for executive consumption when needed; clearly articulate the “so what,” recommended actions, and expected impact.

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

Successful candidates will thrive in a fast-paced, collaborative environment and will possess the following:

• 2-4 years of relevant experience
• Critical thinking skills
• Influencing skills
• Relationship management skills
• Strong business/commercial acumen
• Strong communication skills
• Tools and process acumen
• Education: Bachelor's Degree (Master's Degree preferred but not required)

#LI-AB1

As a Sr. Client Success Manager - Activation, you will serve as a strategic partner to a portfolio of CPG clients, driving holistic commercial growth across both Media and Incentives. You will leverage deep knowledge of Kroger Precision Marketing (KPM) products, incentive capabilities, media solutions, and activation workflows to deliver data‑driven recommendations that accelerate brand performance.

In this role, you will connect client goals with integrated activation strategies bringing together audience planning, incentives, media investment, and campaign execution. You will collaborate closely with Client Partnerships, Lead Client Success Managers, Media and Insights Specialists, and Campaign Operations to ensure flawless activation from pre‑sale through post‑campaign optimization. You excel at telling a compelling data‑driven story, identifying organic growth opportunities, and proactively driving cross‑sell and up‑sell strategies that benefit customers, brands, and Kroger.

This role requires curiosity, strategic thinking, exceptional communication, and the ability to thrive in a fast‑paced and evolving environment.

RESPONSIBILITIES

Client Leadership & Relationship Management

• You are a key client contact, responsible for fostering client relationships, planning media investment and delivering highly effective media plans for a set of clients within your aligned client pod.
• Develop a deep understanding of client business objectives, KPIs, and competitive landscapes to craft actionable activation strategies.
• Lead client communications including status calls, planning discussions, and performance reviews.
• Translate client goals and potential pain points into strategic activation plans across Media and Incentives.

• Leverage data and insights to proactively uncover growth opportunities across Media and Incentives.
• Develop and present compelling narratives using campaign results, customer insights, and audience analytics.

• Manage the activation lifecycle: kickoffs, timelines, trafficking inputs, in‑flight optimization, reporting, and invoicing.
• Monitor campaign pacing, troubleshoot performance issues, and recommend optimizations to drive KPI achievement.
• Ensure accuracy, consistency, and timely delivery of all activation deliverables.

• Identify incremental opportunities to cross‑sell and up‑sell Media and Incentives solutions.
• Maintain strong understanding of relevant of the industry to inform strategic recommendations.

QUALIFICATIONS, SKILLS, AND EXPERIENCE

• Bachelor’s degree required.
• 4–5+ years of experience in media, incentives, account management, business development, or related digital marketing roles.
• Proven ability to build and maintain strong relationships with internal and external stakeholders.
• Strong strategic thinking skills with experience using data insights to drive performance.
• Experience managing integrated media or incentive‑based campaigns; publisher, agency, retail media, or CPG experience preferred.
• Exceptional communication, presentation, storytelling, and client‑facing skills.
• Strong project management abilities with experience managing multiple campaigns simultaneously.
• High attention to detail, strong organizational skills, and the ability to prioritize in fast‑paced environments.
• Comfort navigating ambiguity and driving solutions forward proactively.
• Ability to work independently while collaborating effectively across cross‑functional teams.

#LI-EB1

As a Lead Commercial Strategy & Sales Consultant, you are responsible for owning both commercial strategy and sales consultation for a defined set of streamlined 84.51° solutions (84.51° Collaborative Cloud).

This role blends the responsibilities of a Commercial Solutions Consultant and an Insights Sales Consultant, creating a tighter connection between strategy development, product alignment, and front-line sales execution. You serve as a key liaison between Sales, Product, Tech, and Commercial Strategy—ensuring solutions are positioned effectively, sold efficiently, and continuously informed by market and client feedback.

This role is intentionally scoped to offerings with well-defined use cases, standardized delivery, and clear strategic purpose.

RESPONSIBILITIES

Commercial Strategy & Solution Ownership

• In partnership with G4, lead commercial strategy for assigned solution(s), including positioning, go-to-market approach, and commercial principles.
• Partner closely with Product and Technology teams to align solution capabilities and roadmaps to client demand and commercial growth.
• Incorporate market trends, competitive intelligence, and client feedback into solution evolution and prioritization.

 Sales Consultation & Pitch Support

• Actively participate in client pitches, providing solution-specific domain expertise and real-time guidance during the sales process as needed.
• Support sales teams with optimized scoping recommendations aligned to client business objectives and solution guardrails.
• Serve as a trusted solution expert for Account Executives navigating complex or nuanced client scenarios.

 Proposal Scoping & Deal Enablement

• Lead scoping once opportunities advance, partnering with Data Science, Product, and technical teams to design optimal proposals.
• Translate client needs into clear technical requirements and negotiate scope details during the proposal phase.
• Own creation of client-facing proposals and ensure alignment to commercial standards.

Kickoff & Knowledge Transfer

• Lead internal project kickoffs following deal close to ensure seamless handoff from sale to delivery.
• Provide teams with full context on client objectives, scope decisions, and success measures.

Commercial Enablement & Collateral

• Create and maintain external sales collateral, including sales decks, one-pagers, use cases, and client case studies.
• Maintain internal commercial materials such as FAQs, rate cards, commercial standards, and contracting guidance.
• Support solution launches and enhancements in partnership with Sales Enablement and Product teams.

Governance & Stakeholder Alignment

• Support leadership review and recommendations for complex approvals (e.g., data exports for 84.51° Collaborative Cloud).
• Proactively engage Kroger and internal stakeholders when solutions require co-development, alignment, or endorsement.

COLLABORATION & PARTNERSHIPS

Strong cross-functional collaboration is required. This role partners closely with:

• Sales/Account Management: Provide solution expertise, messaging, and proposal support.
• Product: Align commercial strategy with roadmap and solution evolution.
• Technology & Data Science: Ensure feasibility, efficiency, and clarity in solution design and execution.
• Solutions Education & Enablement: Coordinate launches, enhancements, and ongoing training content.

QUALIFICATIONS, SKILLS, AND EXPERIENCE

• 6–8 years of relevant experience in commercial strategy, analytics consulting, product enablement, or sales support.
• Strong familiarity with the KPM Insights and activation ecosystem and solution portfolio.
• Strong commercial and analytical acumen with comfort navigating technical topics.
• Persuasive storyteller and trusted advisor to sales teams and stakeholders.
• Proven ability to influence without authority and manage cross-team relationships.
• Bachelor’s degree required (Master’s preferred but not required).

#LI-AB1

As a Lead Commercial Strategy & Sales Consultant, you are responsible for owning both commercial strategy and sales consultation for a defined set of streamlined 84.51° solutions (84.51° Consumer Research Full Service and 84.51° In-Queries).

This role blends the responsibilities of a Commercial Solutions Consultant and an Insights Sales Consultant, creating a tighter connection between strategy development, product alignment, and front-line sales execution. You serve as a key liaison between Sales, Product, Tech, and Commercial Strategy—ensuring solutions are positioned effectively, sold efficiently, and continuously informed by market and client feedback.

This role is intentionally scoped to offerings with well-defined use cases, standardized delivery, and clear strategic purpose.

RESPONSIBILITIES

Commercial Strategy & Solution Ownership

• In partnership with G4, lead commercial strategy for assigned solution(s), including positioning, go-to-market approach, and commercial principles.
• Partner closely with Product and Technology teams to align solution capabilities and roadmaps to client demand and commercial growth.
• Incorporate market trends, competitive intelligence, and client feedback into solution evolution and prioritization.

Sales Consultation & Pitch Support

• Actively participate in client pitches, providing solution-specific domain expertise and real-time guidance during the sales process as needed.
• Support sales teams with optimized scoping recommendations aligned to client business objectives and solution guardrails.
• Serve as a trusted solution expert for Account Executives navigating complex or nuanced client scenarios.

Proposal Scoping & Deal Enablement

• Lead scoping once opportunities advance, partnering with Data Science, Product, and technical teams to design optimal proposals.
• Translate client needs into clear technical requirements and negotiate scope details during the proposal phase.
• Own creation of client-facing proposals and ensure alignment to commercial standards.

Kickoff & Knowledge Transfer

• Lead internal project kickoffs following deal close to ensure seamless handoff from sale to delivery.
• Provide teams with full context on client objectives, scope decisions, and success measures.

Commercial Enablement & Collateral

• Create and maintain external sales collateral, including sales decks, one-pagers, use cases, and client case studies.
• Maintain internal commercial materials such as FAQs, rate cards, commercial standards, and contracting guidance.
• Support solution launches and enhancements in partnership with Sales Enablement and Product teams.

Governance & Stakeholder Alignment

• Support leadership review and recommendations for complex approvals.
• Proactively engage Kroger and internal stakeholders when solutions require co-development, alignment, or endorsement.

COLLABORATION & PARTNERSHIPS

Strong cross-functional collaboration is required. This role partners closely with:

• Sales/Account Management: Provide solution expertise, messaging, and proposal support.
• Product: Align commercial strategy with roadmap and solution evolution.
• Technology & Data Science: Ensure feasibility, efficiency, and clarity in solution design and execution.
• Solutions Education & Enablement: Coordinate launches, enhancements, and ongoing training content.

QUALIFICATIONS, SKILLS, AND EXPERIENCE

• 6–8 years of relevant experience in commercial strategy, analytics consulting, product enablement, or sales support.
• Strong familiarity with the KPM Insights and activation ecosystem and solution portfolio.
• Strong commercial and analytical acumen with comfort navigating technical topics.
• Strong knowledge of the consumer research ecosystem is a significant plus.
• Persuasive storyteller and trusted advisor to sales teams and stakeholders.
• Proven ability to influence without authority and manage cross-team relationships.
• Bachelor’s degree required (Master’s preferred but not required).

#LI-AB1

The Media Account Manager supports the Account Management and Account Executive teams across a portfolio of Kroger brands, playing a key role in campaign strategy and execution. This role contributes to informing media plans, building audiences, and delivering post-campaign reporting and insights.

The ideal candidate brings a strong understanding of Kroger Precision Marketing (KPM) media products and hands-on experience with 84.51° Stratum, leveraging data to answer client questions and inform media strategy.  Responsibilities include owning audience builds, analyzing 84.51° Stratum reports, translating insights into actionable recommendations that drive performance, and assisting with post-campaign QA and reporting.

Success in this role requires the ability to thrive in a fast-paced, evolving environment and maintain a high standard of quality, and the desire to “wow” your clients and partners.

RESPONSIBILITIES:

• Support the Account Management team with campaign intake and setup, ensuring all requirements are captured accurately.
• Deliver precise and timely audience sizing and final targeting to enable on-time, error-free campaign execution.
• Assist in QA and validation of wrap report analyses, ensuring insights and recommendations are accurate and actionable.
• Collaborate cross-functionally with Account Executives, Account Management, Campaign Operations, Data Scientists, and Client Partners to execute client campaigns effectively.
• Proactively identify and troubleshoot campaign issues, partnering with Campaign Operations and Account Managers to implement solutions.
• Leverage 84.51° Stratum to pull, analyze, and interpret reporting that informs and strengthens media strategy.
• Interface with cross-departmental stakeholders to ensure seamless coordination and execution across campaigns.
• Manage a high volume of campaigns with strong attention to detail, working both independently and collaboratively in a fast-paced, dynamic environment.

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• Bachelor’s degree (B.A./B.S.) or equivalent work experience
• 1+ years of experience managing client relationships within targeted marketing communications or related projects
• Knowledge of Kroger Precision Marketing inventory and its differentiation in the marketplace
• Proficiency in 84.51° Stratum
• Experience with Bullseye, Prism, and KAP platforms is a plus
• Strong attention to detail with effective project management capabilities
• Analytical mindset with the ability to translate data into actionable insights
• Technical proficiency and ability to leverage tools accurately and efficiently
• Strong communication and interpersonal skills, with the ability to collaborate effectively across cross-functional teams

#LI-EB1

As a Director, Investment Optimization & Performance at 84.51°, you will guide enterprise level investment strategies and activation plans that influence merchandising, retail media, and category decisions. You are responsible for leading a team of consultants and partnering with the broader cross-functional team that is critical for the mission’s success.

You will work across the Kroger enterprise, one of the world’s largest retailers and the third largest employer. This role requires building strong, trusted relationships with your Kroger stakeholders and influencing decisions that drive long-term customer loyalty and more effective use of supplier investment across the Kroger ecosystem.

Your primary area of focus is merchandising, leveraging our industry leading customer insights and intelligence to drive merchandising strategies that are relevant to our customers. This includes optimizing investment across trade promotion and alternative profit - balancing customer impact, investment efficiency, and long-term category health.  To operate effectively in this domain, you are expected to know the current state of the business, the latest trends, and the innovations that are impacting and disrupting this area – all from a customer perspective and an enterprise investment perspective.

What you'll own:

• Leadership of a team that builds and maintains solutions to evaluate total supplier investment and its connection to retail performance across a major retailer
• Stakeholder management across merchandising, commercial sales, and analytics - communicating findings and recommendations to senior leaders
• Product and roadmap ownership for investment evaluation and recommendation capabilities
• Team development: hiring, coaching, and growing a team of analysts and consultants

What makes this role distinctive:

• You will work at the intersection of retail strategy, commercial investment, and applied analytics - connecting how investment decisions across multiple vehicles relate to business outcomes
• You will have access to rich first-party data assets that enable a uniquely comprehensive view of investment and performance
• Your work will directly inform how investment is planned and allocated across a large, complex retail organization

QUALIFICATIONS, SKILLS, AND EXPERIENCE

Successful candidates will thrive in a fast‑paced environment that is a little unorthodox at times and will possess the following:

• 8–12 years of relevant experience in analytics, consulting, retail/CPG, merchandising, or related fields.
• Demonstrated ability to influence senior stakeholders
• Excellent communication and relationship management skills
• Strong business, commercial, and strategic acumen
• Demonstrated experience leading teams, driving change, and driving adoption of new tools, processes, or operating models
• Comfort with advanced analytics concepts and the ability to direct analytical teams and critically interpret model outputs.
• Experience working closely with retail, CPG, merchandising, sourcing, retail media or category leadership on investment or category strategy
• Education: Bachelor’s degree (master’s degree preferred but not required)

The AI Enablement team is building the AI foundation for 84.51° and Kroger. The AI Enablement team is composed of multiple squads, and we are looking for a Senior Agile Delivery to oversee the AI Proprietary Models + AI Hub group. Our AI Proprietary Models team creates domain specific models and associated services, while our AI Hub team maintains a centralized hub of AI information and capabilities for internal associates.

As the SENIOR AGILE DELIVERY, you'll be the orchestrator across three squads, ensuring seamless collaboration, clear visibility, and efficient delivery. You'll work closely with data scientists, researchers, engineers, and product managers to adapt Agile practices that fit the unique nature of AI and research work. Your focus will be on facilitating cross-team dependencies, managing delivery logistics, and ensuring teams have what they need to succeed. This role requires exceptional organizational skills, flexibility in approach, and the ability to thrive in an innovative environment.

RESPONSIBILITIES:

• Facilitate cross-team dependencies and alignment across three squads (two AI Proprietary Models sub-squads and one AI Hub squad), ensuring work flows smoothly and blockers are resolved quickly
• Adapt and evolve Agile practices to fit the unique workflows of data science, research, and engineering teams, moving beyond traditional sprint-based approaches where needed
• Manage and maintain Jira boards including stories, epics, and initiatives, ensuring clear visibility of progress, priorities, and team health
• Report on progress, risks, and blockers to leadership and stakeholders; escalate issues that require intervention
• Facilitate team ceremonies including stand-ups, planning, refinement, and retrospectives, ensuring clear ownership and productive outcomes
• Partner with Product Managers to ensure teams are planning the right amount of work and maintaining sustainable delivery pace
• Act as liaison across teams to successfully align work, manage dependencies, and mitigate risks
• Reduce friction and remove obstacles that slow down delivery, innovating on ways to make value delivery easier
• Champion continuous improvement, helping teams identify and execute on opportunities to enhance their ways of working

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• 2-4 years of experience as an Agile Delivery Lead, Scrum Master, or similar role supporting software engineering or data science teams
• Hands-on experience with Jira for managing backlogs, epics, stories, and reporting
• Exceptional organizational skills with proven ability to manage multiple priorities and keep teams aligned
• Strong written and verbal communication skills; ability to translate between technical and non-technical audiences
• Understanding of agile principles and practices (Scrum, Kanban) with flexibility to adapt methodologies to fit team needs
• Experience working with cross-functional teams including engineers, data scientists, product managers, and designers
• Ability to identify and resolve blockers, manage risks, and escalate appropriately
• Comfort with ambiguity and ability to remain resourceful in the face of changing priorities
• Certified Scrum Master (CSM or PSM I) preferred
• Experience in AI/ML, data science, or research environments a plus
• Bachelor's degree or equivalent experience

#LI-EB1

At 84.51°, people are the key to everything. We are dedicated to always doing what’s right and never compromising on our values. That’s why we have created a culture where every opinion is respected, and contrary thinking is encouraged. Making life more rewarding for our community and our associates is an essential part of the process. Our team is known for their enthusiasm, camaraderie and sense of fun. We work hard and we play just as hard. That’s why we engage in a range of official and unofficial activities to get together, serve the community, and have fun. We continually seek people who make us better. In order to continue to grow, we need more great people who want to join us in doing cool, industry-changing, brain-stimulating work. 

RESPONSIBILITIES:

As a Senior Consultant at 84.51°, you are flawlessly executing against the customer first plan for our partner and clients as you leverage leading customer insights from Kroger, market insights, and human insights to makes customers’ lives easier.  The customer’s voice influences every decision as you identify problems, develop solutions, activate insights and evaluate the impact on customers for Kroger and CPGs.

Your primary client is Kroger, one of the world’s largest retailers and the third largest employer.  You are expected to build strong, trusting relationships with your Kroger stakeholders and influence their decisions that drive long term customer loyalty.

Your primary area of focus is communications, leveraging our personalization science to create a relevant and long term relationship with our customers.  This includes:  targeting the right audience, delivering relevant content, using the right channel, timing it just right, and measuring the impact.  In this area, you may work on digital, word of mouth, retail media, and/or conventional campaigns, but all of them will be personalized.  To operate effectively in this domain, you are expected to know the current state of the business, the latest trends, and the innovations that are impacting and disrupting this area – all from a customer perspective. 

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

Successful candidates will thrive in a fast paced environment that is a little unorthodox at times and will possess the following:

• 2-4 years of relevant experience
• Critical thinking skills
• Influencing skills
•  Relationship management skills
•  Strong business/commercial acumen
•  Strong communication skills
• Tools and process acumen
• Education:  Bachelor's degree (Master's Degree preferred but not required)

#LI-AB1

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

Lead Cloud Engineer (P486)

Cincinnati / Chicago

SUMMARY

The Lead Cloud Engineer will help technology teams architect and operate cloud infrastructure on Microsoft Azure, applying Cloud Engineering principles and defining solutions where gaps exist. They will collaborate with teams to deliver cloud engagements that achieve business objectives, with a strong emphasis on Azure management, governance, and day-to-day operational excellence (identity, networking, security, cost, and reliability). The role owns primary responsibility for driving/evolving the Cloud Engineering team capabilities in Azure and Infrastructure as Code, including Terraform standards and reusable modules. The role is responsible for day-to-day operational response and problem resolution for referred incidents and is a participant in an on-call rotation.

RESPONSBILITIES:

• Prioritize referred incidents from the Service Desk, Engineering/Data Science projects and other technology teams and provide/guide problem resolution for those incidents, including managing any necessary vendor engagement and serving as escalation point for the team
• Own and improve Azure platform operations and administration, including subscription/resource organization, RBAC/identity integration, networking, security controls, monitoring, and cost management
• Responsible for managing and improving our Terraform ecosystem (Terraform Cloud/Spacelift, policy/standards, and reusable modules with best practices built in)
• Implement and enforce Infrastructure as Code workflows (code review, testing, CI/CD, drift detection, and remediation) to improve repeatability and auditability
• Responsible for input to and for meeting team SLO targets and collaboratively ensuring team objectives are met
• Independently define, prioritize and execute project tasks and plans to deliver cloud-related infrastructure and solutions
• Document work and solutions appropriately and review Cloud Engineering team documentation for accuracy/completeness
• Contribute technical/procedural ideas to Cloud Engineering team operations and define/execute strategies to integrate these solutions as appropriate
• Engage with other technology and infrastructure teams as necessary to complete tasks
• Responsible for one or more cloud-related technologies including complete ownership of all aspects of the technology (maintain, upgrade, train, mentor, document)
• Participate routinely in team on-call rotation

QUALIFICATIONS, SKILLS, & EXPERIENCE

• 4-year degree in a technology related discipline or equivalent work experience
• 5+ years of hands-on experience designing, administering, and operating production workloads in Microsoft Azure
• 5+ years of experience with Infrastructure as Code (IaC) and cloud automation
  • Required IaC deep tooling experience: Terraform/OpenTofu, module creation and management, and policy/guardrail application.
• 5+ years of experience with SDLC and working with Agile development teams
• Microsoft Azure Administrator Associate (or higher) certification preferred
• Experience with container technologies (e.g., Docker) and familiarity with Kubernetes/AKS are a plus
• Nice to have tooling experience:
  • Python or other high-level interpreted programming language
  • GitHub Actions
  • Helm
  • Datadog or other enterprise observability tool
  • Artifactory or other enterprise package management system
• Ability to manage small to medium size IT-related projects, solving related problems and working to tight deadlines while under pressure
• Strong interpersonal and communication skills with demonstrated experience leveraging these skills with technical teams and non-technical business units
• Desire to learn new technology and grow across different areas of technology
• Demonstrated ability to prioritize own workload with multiple responsibilities and adaptability to changes in those priorities

#LI-SSS

Senior Consultant, Investment Optimization & Performance 

Location: Cincinnati, OH; Chicago, IL 

SUMMARY 

The Senior Consultant, Investment Optimization & Performance supports Kroger and CPG partners by delivering a single source of truth for supplier investment reporting, identifying opportunities to protect and grow supplier funding, and translating insights into actions that improve performance. This role blends analytics, stakeholder partnership, and change management to drive adoption of internal tools and embed insights into day-to-day decision making. The ideal candidate has 2–4 years of experience in analytics, category/commercial planning, retail/CPG, or consulting. 

KEY RESPONSIBILITIES 

• Build and maintain standardized reporting and analysis related to investments, spend, and performance. 

• Deliver executive level reporting that provides a single source of truth on investment health, and performance.  

• Analyze investment trends to identify risks, opportunities, and areas for improvement across investment portfolios.  

• Develop actionable insights and recommendations to optimize investment allocation across programs, categories, and time periods.  

• Monitor performance indicators and flag emerging trends or issues. 

• Partner with Kroger teams and key CPGs to review performance, align on priorities, and track actions through to execution.  

• Monitor KPIs and performance outcomes; communicate performance narratives that connect data and insights to broader business objectives. 

• Support development of capability requirements (data, reporting, measurement, governance) to inform the roadmap of internal tools.  

• Ensure data quality and consistency by validating inputs, aligning definitions, and improving reporting workflows. 

QUALIFICATIONS 

• 2–4 years of experience in analytics, retail/CPG, category management, revenue growth management, finance, or consulting.  

• Strong analytical skills with proficiency in Excel; experience with BI tools (Power BI/Tableau) and/or SQL preferred.  

• Ability to translate data into clear insights, recommendations, and executive-ready storytelling.  

• Strong stakeholder management skills; comfortable working “shoulder to shoulder” with internal teams and external partners.  

• Experience building repeatable reporting processes, dashboards, or performance scorecards with consistent definitions.  

• Project management fundamentals: prioritization, tracking actions, and delivering against timelines in a cross-functional environment.  

• Change management mindset: ability to support training, adoption, and process improvements to embed new tools.  

• High attention to detail and comfort working with complex data sets and ambiguous problem statements. 

• Bachelor’s degree required; Master’s degree preferred but not required. 

#LI-AB1

At 84.51°, people are the key to everything. We are dedicated to always doing what’s right and never compromising on our values. That’s why we have created a culture where every opinion is respected, and contrary thinking is encouraged. Making life more rewarding for our community and our associates is an essential part of the process. Our team is known for their enthusiasm, camaraderie and sense of fun. We work hard and we play just as hard. That’s why we engage in a range of official and unofficial activities to get together, serve the community, and have fun. We continually seek people who make us better. In order to continue to grow, we need more great people who want to join us in doing cool, industry-changing, brain-stimulating work. 

RESPONSIBILITIES:

As a Lead Consultant at 84.51°, you are the driver of the customer first journey as you lead the insights driven strategy, execution, and implementation work that drives long term sustainable change and makes customers’ lives easier.  We are also counting on you to innovate.  You know the customer and our capabilities thoroughly, so you are in a great position to drive innovation.  The customer’s voice influences every decision as you identify problems, develop solutions, activate insights and evaluate the impact on customers for Kroger and CPGs.

Your primary client is Kroger, one of the world’s largest retailers and the third largest employer.  You are expected to build strong, trusting relationships with your Kroger stakeholders and influence their decisions that drive long term customer loyalty.

Your primary area of focus is Pricing & Promotions, leveraging our industry leading customer insights to drive strategies that are relevant to our customers.  To operate effectively in this domain, you are expected to know the current state of the business, the latest trends, and the innovations that are impacting and disrupting this area – all from a customer perspective.

In this role, you will be part of the Enterprise Price & Promotion Strategies (EPPS) team with key responsibilities in areas of both Strategy and Capability ownership:

• Build a deep understanding of customer sentiment and behavior around price and promotions
• Build a deep understanding of the business domain, stakeholders, business processes, and constraints in which your strategy solutions play
• Partner with Kroger stakeholders to understand the Price & Promotion vision and create a roadmap to achieve that vision
• Own and work to define intended outcomes of, and path forward for, development of strategy solutions
• Understand and communicate organization objectives, strategies and solution needs to the team to facilitate results (where collaborative/as colleague)
• In collaboration with internal business partners, own development and creation of strategy solutions
• Create, develop, and test new strategies designed to meet the needs of Kroger and our customers
• Measure the impact of Kroger strategy implementations against both short and long term objectives, including impact to both Kroger and our customers
• Manage and communicate dependencies and risks

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

Successful candidates will thrive in a fast paced environment that is a little unorthodox at times and will possess the following:

- 4-8 years of relevant experience

- Critical thinking skills

- Influencing skills

- Relationship management skills

- Strong business/commercial acumen

- Strong communication skills

- Tools and process acumen

- Education:  Bachelor's degree (Master's Degree preferred but not required)

#LI-EB1

Senior Data Scientist Consultant, SPI – Agent Platform Team

Summary

The Agent Platform Team, within AI Enablement at 84.51°, owns and manages the core platforms that power data science and AI across the organization. This role sits on the SPI (Science Platform Innovation) squad and is focused specifically on the Databricks environment and its evolving AI/ML capabilities.

You will be the bridge between the engineers building and maintaining our Databricks platform and the data scientists who use it every day. You are not building models for end-clients. Instead, you ensure the platform behaves as expected for the people on it—that new capabilities are tested, documented, and adopted smoothly, and that practitioner pain points make it back to the platform team in a way that shapes the roadmap.

You’ll build deep familiarity with Databricks’ infrastructure and AI powered capabilities —including Genie Code, Genie spaces, Agent Bricks, MLflow, and other features as they emerge—as well as the Unity Catalog governance layer that underpins them. You’ll test and evaluate new Databricks features and relevant third-party integrations from the perspective of an end-user, document your findings, and help the team decide what to adopt, how to roll it out, and what to skip.

This is a small, highly collaborative squad. Everyone pitches in on a bit of everything. Priorities shift frequently as the Databricks roadmap evolves. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority.

Responsibilities

• Voice of the practitioner: Serve as the primary liaison between data scientists using Databricks and the platform engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions and roadmaps.
• Technology evaluation: Lead the testing and evaluation of new Databricks capabilities (e.g., Mosaic AI features, Model Serving enhancements, Genie, new Unity Catalog functionality) and relevant third-party tools. Document findings, recommended use cases, limitations, and rollout considerations. Over time, this may evolve from hands-on beta testing toward designing and coordinating evaluation efforts across groups of practitioners.
• Onboarding & enablement: Write guides, maintain documentation, lead training sessions, and run office hours to help data scientists adopt new platform capabilities. Partner with Learning & Development where appropriate. Serve as a first line of support when teams hit roadblocks.
• Adoption & communication: Evangelize Databricks capabilities to increase awareness and drive adoption. Produce clear release notes, communications, and materials for both technical and non-technical audiences.
• Cross-functional collaboration: Work closely with the solution architect, cloud engineer, and product senior on the squad to ensure proposed technologies have well-defined use cases and that guidelines and best practices are established. Act as a data science ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices.
• Governance & compliance support: Help validate that new platform capabilities meet enterprise requirements around security, compliance, observability, and data governance (e.g., Unity Catalog lineage, Azure connectivity).

Qualifications & Experience

• Bachelor’s degree in mathematics, statistics, computer science, economics, or a related discipline.
• 2–4 years of experience in data science, AI/ML development, or applied analytics.
• 2–4 years of experience in tech consulting, retail analytics, or related professional services.
• Hands-on experience with Python, SQL, PySpark and Databricks
• Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams.
• Experience partnering with software engineering and/or product management teams.
• Familiarity with LLMs, prompt engineering, or agentic AI concepts is a strong plus.
• Experience with the Databricks ecosystem (Unity Catalog, MLflow) is a strong plus.
• Exposure to agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen) is a plus.

Skills

• Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation.
• Ability to influence across teams and seniority levels without direct authority.
• Comfort operating in ambiguity—priorities shift frequently, and you need good instincts about where to focus.
• Strong project and time management skills; able to manage multiple priorities with minimal oversight.
• Curiosity and enthusiasm for emerging AI technologies and a genuine desire to become a subject matter expert on the Databricks platform and its AI capabilities.

#LI-SSS

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

Senior Business Acceleration Consultant – Merchandising

Cincinnati

SUMMARY:

At 84.51°, people are the key to everything. We are dedicated to always doing what’s right and never compromising on our values. That’s why we have created a culture where every opinion is respected, and contrary thinking is encouraged. Making life more rewarding for our community and our associates is an essential part of the process. Our team is known for their enthusiasm, camaraderie and sense of fun. We work hard and we play just as hard. That’s why we engage in a range of official and unofficial activities to get together, serve the community, and have fun. We continually seek people who make us better. In order to continue to grow, we need more great people who want to join us in doing cool, industry-changing, brain-stimulating work.

RESPONSIBILITIES:

As a Senior Business Acceleration Consultant at 84.51°, you are critical in driving a customer first journey as you support insights driven strategy, execution, and implementation work that drives long-term sustainable change and makes customers’ lives easier.  We are also counting on you to bring new and innovative ideas forward. You know the customer and our capabilities thoroughly, so you are in a great position to help drive innovation. The customer’s voice influences every decision as you identify problems, develop solutions, activate insights, and evaluate the impact on customers.

Your primary client is Kroger, one of the world’s largest retailers and the third largest employer.  You are expected to build strong, trusting relationships with your Kroger stakeholders and influence their decisions that drive long term customer loyalty.

Key Responsibilities:

• Enable Strategic Impact: You will translate rich insights into compelling, customer‑centric stories that inform merchandising strategies across assortment, pricing, promotions, in‑store experience. You influence strategy for addressing emerging trends including – but not limited to – multicultural and health & wellness initiatives. You will collaborate with cross‑functional partners to shape recommendations that support Kroger’s strategic objectives and performance.
• Champion the Customer: Be the unwavering voice of the Kroger shopper, ensuring that every strategic recommendation and activation plan is grounded in a profound understanding of their needs, behaviors, and motivations.
• Innovate the Future of Retail: Stay at the forefront of customer and retail trends, technologies, and competitive intelligence, leveraging this knowledge to proactively identify and seize merchandising opportunities for Kroger.

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

Successful candidates will thrive in a fast-paced environment that is a little unorthodox at times and will possess the following:

• 2-4 years of relevant experience
• Critical thinking skills
• Influencing skills
• Relationship management skills
• Strong business/commercial acumen
• Strong communication skills
• Tools and process acumen
• Education: Bachelor's degree (Master's Degree preferred but not required)

#LI-EB1

Lead API Platform Engineer (Cincinnati / Chicago) P181

About 84.51°

84.51° is a data science and technology company (owned by Kroger) that turns customer data into decisions that improve how people shop. Engineers here work with modern cloud and data tech at meaningful scale, alongside product, data science, and business teams.

The role

We’re hiring a Lead API Platform Engineer to join our Application Delivery team within Platform Engineering. This is an individual contributor (IC) technical lead role, owning the API gateway experience end-to-end — from pre-production through production. You’ll help shape technical direction, mentor engineers, and continuously improve our on-call/escalation rotation — participating and fielding gateway-related production issues when on rotation.

If you meet most—but not all—requirements, we still encourage you to apply.

What you’ll do

• Own our gateway platforms: Maintain and evolve our Kong Enterprise API Gateway and Azure Application Gateway configurations, standards, and best practices—and help design what’s next.
• Strengthen API security: Implement and promote API security standards, including OAuth2, JWT, and SAML, along with access controls and encryption.
• Improve reliability and performance: Monitor, troubleshoot, and optimize using Datadog. Tune latency, caching behavior, and rate limiting to support high-performing APIs.
• Automate delivery: Build and maintain automation and CI/CD workflows (using GitHub Actions) for gateway deployments and policy/configuration updates.
• Enable great developer experience: Improve how teams build and test APIs by standardizing gateway onboarding, providing self-service patterns, and supporting reliable local development workflows (e.g., local gateway tooling, mock/test routes, and clear “run it locally” docs).
• Shape work for success: define and decompose scope into ready-to-build requirements (clear user stories and acceptance criteria), aligning on delivery standards, and proactively removing blockers to keep execution on track.
• Support production operations: Provide L2/L3 support, participate in an on-call rotation, lead root-cause analysis, and drive permanent fixes.
• Collaborate and document: Partner with development, QA, security, and architecture teams. Create clear documentation, SOPs, and onboarding materials to help teams ship confidently.

What we’re looking for

• Bachelor’s degree (Master’s degree desired) typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program.
• 5+ years of hands-on experience operating API gateways in production environments (especially Kong)
• Strong API fundamentals (REST, JSON) and security best practices
• Experience working in a public cloud environment, plus solid networking knowledge (DNS, firewalls, load balancers) – Azure preferred but not required
• Comfort scripting and/or coding in one or more languages (e.g., Python, Shell, Java, Node.js)
• Familiarity with DevOps/Agile practices, Docker/Kubernetes/Helm, and Terraform (or other IaC tools)
• Clear communication skills and a collaborative mindset in a fast-moving environment

#LI-SSS

Lead Product Manager – Forecasting Center of Excellence P4373

The Forecasting Center of Excellence (FCOE) at 84.51° delivers accurate, timely sales forecasts that empower decision-makers at Kroger, 84.51°, and our CPG partners. Our forecasts fuel better insights, optimized operations, and strategic business decisions.

As a Lead Product Manager, you'll drive day-to-day delivery and medium term strategic direction for forecasting products. You'll translate business needs into clear, prioritized work, own the near-term product roadmap, and collaborate closely with engineering and data science teams to ensure timely, high-quality delivery. You’ll influence stakeholders, guide strategic decisions, and mentor junior team members to ensure product success.

This role reports directly to the Product Director of FCOE.

Responsibilities:

Product Roadmap and Business Ownership

• Own and maintain the product roadmap (0-12 months), clearly aligning work priorities with user needs, business objectives, and strategic initiatives.
• Develop clear measures of success focused on user value, tracking and communicating outcomes regularly to stakeholders.

Product Delivery and Technical Collaboration

• Actively lead sprint planning, clearly defining user stories, acceptance criteria, and prioritization frameworks for forecasting products.
• Collaborate closely with Engineering and Data Science partners to ensure technical feasibility, remove obstacles, and deliver timely, impactful solutions.
• Own product backlog management, including writing clear, detailed user stories and managing initiatives through completion.

Communication and Stakeholder Alignment

• Serve as a cross-functional and cross-team connector, proactively identifying and managing critical touchpoints.
• Clearly communicate product goals, progress, and value, influencing leaders and stakeholders to align around strategic priorities.

Strategic Influence and Thought Leadership

• Continuously inform product strategy by identifying emerging opportunities or risks, influencing senior stakeholders to maximize product value.
• Proactively suggest improvements to team practices, processes, and approaches, using feedback, data, and market insights to drive innovation.

Mentorship and Functional Leadership

• Actively coach and mentor junior team members (Product Managers, Associate PMs), supporting their growth and improving team performance.
• Contribute functional expertise within the broader organization, acting as a resource and informal leader for best practices in product management.

Qualifications, Skills, and Experience:

• 5+ years of product management experience, ideally focused on data-intensive, analytical, or technical products.
• Proven ability to autonomously manage complex product roadmaps, balancing competing priorities and delivering measurable outcomes.
• Excellent communication and influencing skills, capable of clearly articulating technical information and business value to diverse stakeholders.
• Demonstrated proficiency in agile methodologies, including writing user stories, defining acceptance criteria, and prioritizing work effectively.
• Experience collaborating closely with technical teams (Engineering/Data Science), ensuring mutual clarity and timely execution.
• Experience with product management software. Our tech stack is Github, Jira, and Shibumi and experience here is a plus, but not required.
• Familiarity with forecasting, data science, or analytics products is strongly preferred; retail/grocery experience is a plus.
• Bachelor’s degree or equivalent experience in data science, computer science, engineering, mathematics, or related fields

#LI-EB1

Senior Data Scientist / P3358

Summary

We are seeking a Senior Data Scientist to join our Proprietary Models team. In this role, you will play a critical part in developing, evaluating, and democratizing our foundation models portfolio—including embeddings, pre-trained LLMs, and fine-tuned language models. You will build and optimize embedding pipelines, design rigorous evaluation frameworks, drive models from experimentation to production, and guide business stakeholders through the process of integrating these models into their workflows. The ideal candidate combines deep technical expertise in machine learning and AI with strong problem-solving abilities, a commitment to engineering excellence, and a passion for enabling others to leverage AI effectively.

Responsibilities

Your work will cover a lot of ground, from engineering data pipelines to testing novel AI methodologies to guiding business stakeholders. You will be expected to flex between these skill domains as work progresses through its lifecycle, and to collaborate within a team to make it all happen.

• Develop and optimize embedding pipelines for vector search, retrieval-augmented generation (RAG), and downstream ML applications.
• Conduct rigorous model testing, evaluation, and validation against quality metrics, performance benchmarks, and reliability standards prior to release.
• Design and execute proof of concepts to demonstrate feasibility for specific business problems.
• Build and maintain automated testing frameworks for model performance, data quality, and pipeline integrity.
• Collaborate with MLE/Researchers/Engineers to develop, fine-tune, and deploy foundation models.
• Perform exploratory data analysis (EDA), feature engineering, and data preprocessing to support model development.
• Develop and maintain Jupyter notebooks, scripts, and workflows for reproducible experimentation and analysis.
• Contribute to building and maintenance of code packages, APIs, hosted applications, and other foundation model delivery mechanisms.
• Troubleshoot integration challenges and provide technical guidance for model integrations.
• Guide business stakeholders, data science and engineering teams through adoption and integration of foundation embedding and generative AI models.
• Create documentation, user guides, and best practices for internal model adoption and usage.
• Serve as a liaison between the Foundation Models team and business stakeholders, gathering feedback to inform the development roadmap.

Qualifications and Experience

Required

• Bachelor’s degree in Data Science, ML, Computer Science, or a related discipline
• 3+ years of hands-on experience in data science or machine learning roles
• 3+ years’ experience building in Python using big data tools (e.g. Hadoop, Databricks)
• Hands-on experience building processes incorporating LLMs, embeddings, or related model architecture
• Experience applying embeddings within AI projects and machine learning applications
• Track record of shipping, measuring, and maintaining machine learning models in production
• Exceptional communication skills with ability to explain complex technical concepts to non-technical audiences
• Experience in stakeholder management, technical documentation creation, and cross-functional collaboration

Preferred

• Experience building in cloud data platforms (i.e. Azure, GCP)
• Previous developer relations, technical evangelism, or advocacy experience
• Background in NLP, conversational AI, or generative AI applications
• Open-source contributions or thought leadership in AI/ML community

#LI-SSS

DIRECTOR, DATA SCIENCE - SUPPLY CHAIN, OPERATIONS, REPLENISHMENT

Cincinnati, OH

Chicago, IL

SUMMARY:

The Supply Chain, Operations, and Replenishment  (SCORe) team is responsible for creating for cutting edge supply chain and operations sciences to meet Kroger’s need now and in the future, ensuring that we deliver value for our Kroger stakeholders and the enterprise.  This role will lead the supply chain data scientists and partner heavily with our Product and Engineering community to develop the best solutions for our stakeholders within our supply chain workstreams.

RESPONSIBILITIES:

• Influence and partner with SCORe team leaders to set the vision and future road map by developing immediate and long-term strategic plans in supply chain and operations
• Partner with the other SCORe Tech DSR Leads to develop and oversee innovation/capability roadmaps to support strategic supply chainplans
• Bring transformational, innovative thinking to the SCORe team, creating and/or improving ways of working, products, sciences, tools and initiatives
• Develop and manage stakeholder relationships within 84.51° and Kroger to drive better decisions across the Supply Chain space
• Understand business priorities and project value to make prioritization decisions
• Partner with cross-functional leaders to ensure shared goals that enable delivery of science services and insights at scale
• Enable & manage a team of data scientists in delivering strategic objectives and work plans while developing their individual technical and business skills

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• 7+ years developing analytical solutions using advanced AI, Machine learning, and optimization methods
• 7+ years querying data from relational databases using SQL/Python to develop analytical solutions
• 7+ years with data wrangling, data cleaning and prep, problem framing, and analysis
• Experience with managing, recruiting, training, developing, coaching, and/or inspiring highly technical associates
• Proficient in technology stack (Azure, Databricks, Python, Spark)

• Experience applying data science capabilities to supply chain and operations business problems

• Experience with developing, coaching, and/or inspiring highly technical associates
• Ability to work in a highly collaborative cross functional environment
• Comfort with fast pace and multiple moving parts, anticipating and solving for future barriers/ changes 
• Excellent interpersonal, collaboration, and communication skills
• Strong business acumen
• Strong academic background in mathematics, statistics, computer science, economics, or similar discipline
• Strong analytical, creative problem-solving and decision-making skills
• Ability to create computationally efficient solutions
• Natural curiosity and passion around data, analysis and insights
• Welcomes and embraces change
• Ability to work fast yet accurately
• An openness and willingness to try new things and to fail 

An ideal candidate has a strong track record of: 

• Building stakeholder relationships at a senior level
• Internal or External client exposure and strong understanding of client’s business needs
• Ability to present technical solutions to non-technical audience
• Managing, recruiting, training, developing, coaching, inspiring and/or leading others
• Championing an inclusive culture and embracing 84.51° D&I initiatives 
• Creating and/or improving large-scale processes or initiatives
• Leading Data Scientists through product life cycle and projects
• Independently creating solutions and solving open-ended and/or complex problems, analyzing both successes and failures
• Collaborating across all functions of 84.51° 
• Providing direct, constructive feedback to peers and junior data scientists 
• Making data-driven decisions and priority calls
• Clearly articulating their point-of-view
• Comfortability with fast pace and multiple moving parts, anticipating and solving for future barriers/ changes 

#LI-SSS

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

#LI-EB1

SENIOR DATA SCIENTIST (P2408)

SUMMARY:

The Core Science team is responsible for some of our most foundational data science products including enterprise-wide segmentations and store measurement tools. As Senior Data Scientist on the Core Science team, you will build and maintain our new Customer Dimensions and Functional Loyalty. Our team plays a crucial role in building core segmentations that are used across the business in various functions like customer reporting and targeting.

In this role, you will maintain and enhance existing dimensions, support business use of dimensions, build and monitor data quality dashboards, and develop new customer dimensions to expand our view of customers. This includes responding to time-sensitive requests for deep-dive analyses, managing routine processes, and innovation of new segmentations.

You will leverage a diverse technical toolkit including Power BI for dashboard development, GitHub for code management and version control, and PySpark for programming. Additionally, you'll have opportunities to explore the use of embeddings and incorporate AI technologies to enhance our analytical capabilities and create more efficient solutions.

Success in this role requires strong analytical skills and business insights combined with intellectual curiosity and adaptability. We're looking for someone who embraces change, demonstrates enthusiasm for learning new methodologies, and can balance maintaining existing systems while innovating for the future.

RESPONSIBILITIES:

• Effectively managing projects, tasks and stakeholders to ensure that projects are delivered on time, within budget and to brief specification while ensuring minimal downtime and maximum utilization.
• Interpreting results and developing actionable recommendations from the data analysis to build relevant customer stories for clients.
• Identifying and implementing artificial intelligence solutions to enhance business processes, drive operational efficiencies, and deliver increased value to stakeholders.
• Quality Assurance of own code and that of team members to ensure the highest quality work is being delivered to our clients.
• Identifying opportunities for standardization & automation of existing solutions and processes to enable 84.51° to realize the maximum potential from our teams.
• Challenging and improving 84.51° analytical capabilities/products.
• Working closely with key internal stakeholders to ensure sound knowledge of client objectives and customer insight, to subsequently design best-in-class solutions.

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• 2+ years of experience in consulting or professional services
• 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to clients
• 2+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities.
• Experience querying data from relational databases using SQL.
• Experience using R, Python, or other similar statistical software to develop analytical solutions.
• Experience with data wrangling, data cleaning and prep, dimensionality reduction.
• Experience with Big Data concepts, tools, and architecture (e.g. Hadoop, Pig, Hive, Spark, Sparkling Water).
• Ability to create computationally efficient solutions.
• Strong academic background in mathematics, statistics, computer science, economics, or similar discipline.
• Data visualization skills and ability to present technical solutions to non-technical audience.
• Strong interpersonal and communication skills.
• Strong analytical, creative problem-solving and decision making skills
• Strong business acumen; grocery and/or retail experience is a plus.
• Passionate about data, analysis and insights.
• Natural curiosity that welcomes and embraces change and willingness to try new things and to fail, particularly in exploring emerging technologies and AI applications.
• Ability to work in a highly collaborative environment.

#LI-SSS

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).

As a Commercial Strategy Lead for In-Store Media at the G3 level, you shape the commercial strategy and market positioning for Kroger’s in-store screen portfolio. This role defines how emerging in-store capabilities translate into compelling advertiser value, scalable revenue streams, and differentiated shopper experiences.

You will operate at the intersection of media strategy and commercialization, ensuring that new in-store capabilities are positioned effectively in market, adopted by internal & external teams, and monetized at scale.

This role is responsible for:

• Defining client value propositions and commercial viability for new in-store media capabilities
• Bringing a market, portfolio, and monetization lens to emerging products and pilots
• Driving go-to-market readiness, adoption, and sales enablement across the organization

Success looks like creating & optimizing a portfolio of in-store media products that are clearly positioned, commercially viable, and widely adopted by advertisers, sales teams, and internal partners.

CORE RESPONSIBILITIES 

QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree in Marketing, Business, Retail Management, or related field (MBA preferred).
• 6–8+ years in retail media, in-store media, DOOH, merchandising strategy, or ad-tech.
• Experience managing capital-intensive rollouts or physical retail infrastructure.
• Proven ability to connect product capabilities with advertiser needs and revenue outcomes.
• Familiarity with retail data platforms (e.g., 84.51°), store operations, and cross-functional governance models.

KEY COMPETENCIES

• Enterprise Thinking – understands how in-store media impacts merchandising, operations, and brand relationships.
• Operational Rigor – can scale installs across hundreds of stores while maintaining execution standards.
• Financial Acumen – provides input into capital planning, pricing strategy and yield optimization.
• Strategic Vision – connects today’s tactics to a three-year growth horizon.
• Process Orientation – builds scalable playbooks that survive rapid growth.
• Cross-Functional Influence – rallies product, sales, analytics, and engineering around a shared roadmap.
• Influence Without Authority – aligns divisions, store design, merchandising, finance, and partners toward shared monetization goals.
• Analytical Rigor – leverages data to size markets, prioritize features, and prove ROI.
• Change Leadership – drives adoption of new ways of working across diverse teams.

Why Kroger Precision Marketing

• Leverage first-party shopper data from 60 MM households to create industry-leading media products.
• Join a culture that pairs experimentation with deep analytic horsepower.
• Competitive compensation, performance bonus, 401(k) match, flexible PTO, and professional-development stipend.
• Direct impact on the evolution of a top-five U.S. retail media network as it scales from product launch to enterprise maturity.

#LI-AB1

SENIOR AGILE DELIVERY (G2) P3176

LOCATION: Cincinnati, Chicago

SUMMARY:

At 84.51°, we build software products that make customers’ lives easier and move the retail industry forward with our bleeding-edge data science. We believe high-performing teams deliver exceptional results time and time again.

As Senior Agile Delivery associate, you’ll be part of a team bringing principles-based thinking to create environments of empowerment and accountability – where product-led delivery teams are charged with solving problems for customers - not given work to do.

As scrum master for retail operations & ecomm, you will operate in a time sliced model where you are fully embedded with 1-2 teams and providing targeted consulting & support to the other 3-4 teams. You know what good looks like and how to create flow, helping teams move closer to the problem space and customer. You create strong cross-functional partnerships and co-create standards that give teams the anchor they need in their quest for high performance. You are an executor – an active team member and a trusted partner who wears a delivery hat. You remove ambiguity and enable the right conversations at the right time.
You thrive in a workplace of open feedback and trust. Your dream job lets you have fun while learning, improving and taking risks along the way.

RESPONSIBILITIES:

• Create and evolve successful agile team ways of working – implementing, facilitating, and evolving practices and ownership to create the right flow. Partner to create team standards.
• Enable successful sprint / cycle activities - stand-ups, planning, refinement, shaping, demos, releases.
• Help bring teams closer to the problem space and enable Product to spend time closer to the customer.
• Reduce friction - remove obstacles and impediments and innovate on ways to make value delivery easier.
• Act as liaison across teams to successfully align work, dependencies and manage risks including escalation. Remove ambiguity, communicate effectively and create shared understanding across teams.
• Provide clear visibility of sprint/cycle/release using electronic and physical information radiators. 
• Create and maintain metrics for team and stakeholders, using data points and trends to communicate progress, quality, bottlenecks, team health.
• Understand team(s) agile maturity and partner cross-functionally to help the team on their journey. Partner to identify coaching opportunities e.g. agile fundamentals, principles, and practices.
• Help team(s) identify, prioritize, and execute improvement opportunities.
• Promote a fun, learning culture and an environment enabling high performing teams.

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• 4-year degree in related field or equivalent experience
• 3+ years experience in an agile environment
• Product mindset and deep knowledge of agile principles and practices (Scrum, Kanban, DevOps, Scaled Agile)
• Certified Scrum Master (CSM or PSM I) (optional)
• Software Development, Business Analysis or Project Management experience in an agile environment a plus
• Experience in data science, data analytics and insights or adtech a plus
• Strong organization, time management and communication skills
• High emotional intelligence and ability to build trust and influence others

As a Senior Pricing/Promotion Consultant at 84.51° on the Enterprise Pricing & Promotion Product team, you are the driver of the ‘customer-first’ journey as you advance price/promo science-driven strategy, execution, and implementation work that drives long term sustainable change and makes customers’ lives easier. We are also counting on you to innovate.

Your primary client is Kroger, one of the world’s largest retailers and the third largest employer. You are expected to build strong, trusting relationships with your Kroger stakeholders and influence their decisions that drive long term customer loyalty.

ROLE RESPONSIBILITIES

In this role, you will help shape the vision, development, and rollout of pricing and promotion products used by Kroger merchandising partners. You will leverage industry-leading price science, optimization expertise, and AI-driven capabilities to support product innovation that strengthens Kroger’s ability to connect with customers and compete effectively in the market.

On a day-to-day basis, you will collaborate with cross-functional stakeholders, business partners, and end users to shape product strategy, gather and translate business requirements, and support adoption of pricing and promotion solutions. You will act as a bridge between business, product, data science, and technology teams to ensure product capabilities align with user needs, strategic priorities, and operational processes.

You will work closely with the Enterprise Pricing & Promotion Data Science team to build a strong foundation in 84.51° price science methodologies and applications. You will also develop expertise in Kroger’s pricing, merchandising systems, and business processes, while staying informed on customer needs, market trends, competitive dynamics, and industry innovations that can influence product direction.

Additional responsibilities include supporting product roadmap planning, identifying opportunities for enhancements, assisting with change management efforts, and helping measure product impact and user adoption. Success in this role requires strong collaboration, strategic thinking, customer-centric problem solving, and the ability to align diverse stakeholders around a shared product vision.

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

Successful candidates will thrive in a fast-paced environment that is a little unorthodox at times and will possess the following:

• 3-5 years of relevant experience
• Strong strategic thinking skills and ability to understand the customer perspective
• Ability to own and independently lead initiatives
• Comfort with ambiguity
• Strong analytical, critical thinking, and problem solving skills
• Relationship management skills, ability to drive alignment across stakeholder groups
• Strong business/commercial acumen
• Strong communication skills, especially with driving change with senior level stakeholders
• Tools and process acumen
• Ability to explain technical concepts
• Price/promo experience and/or familiarity with price/promo concepts is a plus
• Prior experience at a consulting company, data science company, retailer, or CPG is a plus
• Education: Bachelor's degree (Master's Degree preferred but not required)

#LI-EB1

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 States and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status)

84.51° is seeking a ServiceNow Team Lead to guide the strategic and technical direction of our ServiceNow platform. This role serves as both technical architect and hands-on lead, responsible for driving platform enhancements, ensuring best practices, and overseeing the work of a blended team consisting of offshore developers, system administrators, and a configuration manager. The ideal candidate will combine strong ServiceNow expertise with leadership, platform governance, and architectural experience.

Key Responsibilities

• Platform Leadership: Serve as the technical owner of the ServiceNow platform, providing direction on architecture, integrations, performance, and scalability.
• Team Management: Lead a global team including 2 developers, 2 system administrators, and 1 configuration manager. Provide guidance, mentorship, and workload prioritization.
• Solution Architecture: Design and review technical solutions across ITSM, ITOM, HRSD, and other ServiceNow modules to ensure alignment with 84.51°’s enterprise architecture and security standards.
• Governance & Best Practices: Establish development standards, enforce coding practices, and ensure adherence to ITIL and ServiceNow governance models.
• Project Delivery: Collaborate with stakeholders to translate business requirements into technical solutions and ensure timely delivery of platform enhancements and integrations.
• Quality & Performance: Oversee instance health, upgrades, and performance monitoring. Coordinate testing and deployment of new releases.
• Stakeholder Collaboration: Partner with internal teams (security, infrastructure, product, and business units) to optimize the ServiceNow platform’s adoption and value.
• Continuous Improvement: Identify opportunities for automation, process optimization, and leveraging new ServiceNow capabilities

Qualifications:

Required:

• Bachelor’s degree (Master’s degree desired) typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program.
• 7+ years of progressive ServiceNow experience, including 2+ years in a lead or architect role.
• Proven experience with core ServiceNow modules (ITSM, ITOM, CMDB, HRSD, CSM, etc.).
• Strong understanding of ServiceNow architecture, data models, scripting (JavaScript, Glide), and integrations (REST, SOAP, API).
• Experience managing offshore or distributed teams.
• Excellent communication, leadership, and stakeholder management skills.

Preferred:

• ServiceNow Certified System Administrator (CSA) and one or more advanced certifications (CAD, CIS–ITSM, CIS–Discovery, etc.).
• Experience with Agile delivery and DevOps pipelines (ATF, Git, CI/CD).
• Familiarity with CMDB governance and platform security models (ACLs, roles, domain separation).
• Background in enterprise IT or data-driven organizations.

#LI-AB1

Cincinnati

SUMMARY:

At 84.51°, people are the key to everything. We are dedicated to always doing what’s right and never compromising on our values. That’s why we have created a culture where every opinion is respected, and contrary thinking is encouraged. Making life more rewarding for our community and our associates is an essential part of the process. Our team is known for their enthusiasm, camaraderie and sense of fun. We work hard and we play just as hard. That’s why we engage in a range of official and unofficial activities to get together, serve the community, and have fun. We continually seek people who make us better. In order to continue to grow, we need more great people who want to join us in doing cool, industry-changing, brain-stimulating work. 

RESPONSIBILITIES:

As a Lead Consultant at 84.51°, you are the driver of the customer first journey as you lead the insights driven strategy, execution, and implementation work that drives long term sustainable change and makes customers’ lives easier.  We are also counting on you to innovate.  You know the customer and our capabilities thoroughly, so you are in a great position to drive innovation.  The customer’s voice influences every decision as you identify problems, develop solutions, activate insights and evaluate the impact on customers for Kroger and CPGs.

Your primary client is Kroger, one of the world’s largest retailers and the third largest employer.  You are expected to build strong, trusting relationships with your Kroger stakeholders and influence their decisions that drive long term customer loyalty.

Your primary area of focus is merchandising, leveraging our industry leading customer insights to drive merchandising strategies that are relevant to our customers.  This includes:  assortment, pricing, promotion, space management, visual display, and the customer experience.  To operate effectively in this domain, you are expected to know the current state of the business, the latest trends, and the innovations that are impacting and disrupting this area – all from a customer perspective.

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

Successful candidates will thrive in a fast paced environment that is a little unorthodox at times and will possess the following:

- 4-8 years of relevant experience

- Critical thinking skills

- Influencing skills

- Relationship management skills

- Strong business/commercial acumen

- Strong communication skills

- Tools and process acumen

- Education:  Bachelor's degree (Master's Degree preferred but not required)

#LI-EB1

Director, Software Engineering – Agentic Foundations (P4474)

PREFERRED LOCATION: Cincinnati / Chicago

SUMMARY:

The AI Enablement team at 84.51° is seeking a Director of Software Engineering for its Agentic Foundations team. This team is responsible for designing, developing, and maintaining the agentic backbone of the Kroger enterprise, including platforms, patterns, and tools to support the best practice development of AI agents.

The Director of Engineering requires a unique mix of software engineering and AI skills necessary to lead the technical design of platforms, patterns, and tools to support the enterprise agentic ecosystem. This role has a focus on providing the technical leadership needed for engineering and data science development teams implementing solutions like agent/MCP/scorer/prompt registries, agent-related tools to aid in the development and monitoring of best practice agents and tools, and managing low-code and no-code agent platforms that integrate with agentic support.

RESPONSIBILITIES:

• Partner with the Director of Product Management for Agentic Foundations to jointly lead the space for the Kroger enterprise
• Lead and manage a team of engineers, guiding them in the design and development of their product/platform areas and in the management of their own reports
• Lead and manage hiring efforts for engineers on the Agentic Foundations team, including finding interview panelists, writing interview guides and questions, and assisting with coding screening questions
• Own and manage offshore reliability engineering teams
• Provide in-depth technical leadership in the scoping and implementation of enterprise-grade solutions to support agents across the Kroger enterprise
• Provide operational leadership across agentic platforms, ensuring enterprise-grade reliability, observability, and incident management
• Maintain an up-to-date expertise on agentic workflows, frameworks, platforms, and best practices to identify and inform new capabilities for implementation
• Foster a collaborative and innovative team environment, encouraging professional growth and development among team members
• Reduce the development time of the team by leveraging agentic SDLC tooling provided by the enterprise
• Lead the abstraction of tooling and services to user-friendly interfaces like APIs, Python packages, or UIs
• Understand business requirements and trade-off scale, risk, and accuracy to maximize value and translate research into consumable products or services
• Guide the development teams to follow software development standards, including version control, documentation, testing, and support
• Make time-sensitive decisions and solve urgent problems without escalation

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• 7+ years professional experience with cloud-based software architecture focused on scalability, performance, and reliability
• 7+ years professional experience with end-to-end SDLC leveraging CI/CD and AIOps/MLOps, including experience with agentic SDLC tooling
• 7+ years professional experience with large-scale AI/ML systems, including 2+ years with GenAI and deep learning methods
• Professional experience with production-grade agentic systems, including concepts like design and development, evals, deployment, and monitoring
• Professional experience with AI/ML frameworks and tooling (PyTorch, OpenAI SDK, LangChain, autogen)
• Professional experience with AIOps/MLOps tooling and concepts (MLflow, Model Registry, Model Monitoring)
• Professional experience with scaling and deploying AI/ML systems using tooling in Microsoft Azure and Google Cloud, including CI/CD, containerization, orchestration, and API development (in particular FastAPI)
• Professional experience with Kubernetes (AKS) and Helm
• Professional experience with Python
• Professional experience with infrastructure-as-code using Terraform
• Professional experience leading technical teams and consulting with customers, including managing senior engineers, communicating complex technical topics, and driving outcomes in ambiguous environments
• Skilled in partnering with product management peers to jointly define product and team direction and priorities
• Education: Bachelor’s degree or higher in Software Engineering, Computer Science, Machine Learning, or a related field

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Sr. ML Data Engineer, Relevancy Sciences – Personalization & Loyalty Strategy (P508)

The Relevancy Sciences Team is responsible for creating relevant and personalized customer experiences for Kroger's E-commerce platform, which ranks among the top 10 ecommerce companies in the US. We generate trillions of recommendations at scale and deliver them to millions of Kroger customers daily. Our team maintains a comprehensive portfolio of machine learning solutions for search & product recommendations. We are seeking a talented and experienced Senior ML Data Engineer to join our data science team, with specialized expertise in building search and recommender systems.

Role Overview

You will architect, build, and operate the critical data infrastructure that powers our machine learning models, spanning from feature engineering to training data generation. This role serves as the bridge between ML requirements and production data systems, with ownership of feature stores, training/evaluation pipelines, and ML-specific data operations. You will enable data scientists to iterate rapidly while ensuring production-grade reliability and scalability.

What You'll Do

1. Feature Store Operations & Governance (40%)

• Own the feature request lifecycle from intake through deployment, driving reusability and maintaining a searchable feature catalog
• Design and build scalable feature pipelines that compute features from diverse sources (BigQuery, Azure Data Lake) and write to Feature Store infrastructure (Vertex AI Feature Store + BigQuery)
• Build streaming feature engineering pipelines using Apache Beam/Dataflow for real time feature computation and low-latency model serving with sub-second data freshness
• Ensure point-in-time correctness and online/offline feature consistency to prevent data leakage
• Implement drift detection, data quality monitoring, and alerting mechanisms
• Develop self-service tools and templates that enable teams to independently create features

1. Training & Evaluation Data Pipelines (30%)

• Build automated pipelines that generate ML-ready training datasets by combining features with labeled target variables
• Implement point-in-time correctness logic and sophisticated sampling strategies to ensure balanced, representative datasets
• Maintain comprehensive dataset versioning for full traceability across model versions
• Generate detailed evaluation reports with performance metrics segmented by business dimensions
• Support operations across both Azure and Vertex AI environments during platform migration

1. ML Data Operations & Reliability (20%)

• Serve as Tier 2/3 on-call responder for feature data quality incidents, diagnosing and resolving pipeline failures and performance issues
• Maintain comprehensive lineage tracking and metadata management for full data traceability
• Support regulatory compliance through proper data governance and documentation

1. Standards, Education & Collaboration (10%)

• Establish and enforce feature naming conventions, data quality thresholds, and point-in-time correctness patterns
• Conduct workshops on feature engineering best practices and provide expert guidance on feature design
• Partner with Data Scientists, ML Engineers, Data Engineering, and MLOps teams to optimize infrastructure and align with technical strategy

What We're Looking For

Required Qualifications:

• 3+ years of hands-on experience building and maintaining ML data pipelines in production environments with demonstrated expertise in scaling and reliability
• Expert-level SQL skills and advanced Python programming capabilities with experience in data processing frameworks and ML libraries
• Proven experience with cloud data platforms, with strong preference for GCP ecosystem including BigQuery, Dataflow, Vertex AI Feature Store, and associated ML services
• Deep understanding of end-to-end ML workflows including training data preparation, model evaluation methodologies, and serving infrastructure requirements
• Production operations mindset with experience in monitoring, alerting, on-call responsibilities, and meeting SLA commitments

Strongly Preferred Qualifications:

• Hands-on experience with Feature Store platforms such as Vertex AI Feature Store, Feast, Tecton, or similar enterprise solutions
• Deep knowledge of point-in-time correctness principles, temporal joins, and time-series data modeling best practices
• Multi-cloud experience with both Azure and GCP platforms, including data migration and hybrid cloud architectures
• Strong familiarity with core ML concepts including feature engineering, label creation, train/test/validation splits, and data leakage prevention
• Background spanning both analytics engineering and ML-specific data engineering with understanding of the unique requirements of each domain

Success Indicators:

• Improved Data Science Productivity:Data Scientists spend significantly less time on data preparation and infrastructure concerns, enabling more focus on model development and experimentation
• Increased Feature Reuse:Measurable increase in feature reuse across multiple models and teams, reducing redundant development effort and improving consistency
• Reliable Automation:Training and evaluation data generation processes operate reliably with minimal manual intervention and high uptime
• Efficient Incident Response:Data quality incidents are triaged quickly with clear escalation paths and rapid resolution times
• Accelerated ML Iteration:Overall ML model development and iteration velocity improves measurably across all teams using the platform

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Lead Software Engineer – Agentic Foundations (P4475, P4477)

LOCATION: Cincinnati / Chicago

SUMMARY:

The AI Enablement team at 84.51° is seeking a Lead Software Engineer for its Agentic Foundations team. This team is responsible for designing, developing, and maintaining the agentic backbone of the Kroger enterprise, including platforms, patterns, and tools to support the best practice development of AI agents.

The Lead Software Engineer will provide hands-on technical leadership across architecture, implementation, and operations of core agentic capabilities, including agent/MCP/scorer/prompt registries, evaluation and monitoring tooling, and low-code/no-code agent platforms that abstract complexity for developers and business users. You will partner closely with product management, data science, and engineering peers and leaders to deliver enterprise-grade capabilities that accelerate time-to-value, improve quality and reliability, and promote compliant, best-practice use of agentic systems.

RESPONSIBILITIES:

• Lead the design, development, and operation of core agentic platforms, services, and tooling used across the Kroger enterprise
• Own technical outcomes for a more specific product area, such as registries (agent/MCP/scorer/prompt), evaluation frameworks, observability/monitoring, SDKs/APIs/UIs, and low-code/no-code agent platforms
• Provide in-depth technical leadership to scope and implement scalable, secure, and reliable solutions;
• Uphold standards for architecture, code quality, testing, and documentation
• Partner with the Agentic Foundations leadership, as well as engineering and data science leads, to plan quarters/cycles/sprints and ensure efficient, predictable delivery
• Work with offshore reliability engineering teams to ensure SLAs are upheld
• Occasional participation in level 2 on-call support for production systems
• Abstract complex capabilities into developer-friendly interfaces (APIs, Python packages, CLIs, and UIs) to reduce friction and accelerate adoption
• Drive operational excellence across platforms, including incident management, on-call support, capacity planning, and cost optimization
• Mentor and guide engineers through code reviews, architecture discussions, and pairing; contribute to team growth, onboarding, and enablement

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• Professional experience with cloud-based software architecture focused on scalability, performance, and reliability
• Professional experience with end-to-end SDLC leveraging CI/CD and AIOps/MLOps, including experience with agentic SDLC tooling
• Professional experience with large-scale AI/ML systems, including 1+ years with GenAI and deep learning methods
• Professional experience with AI/ML frameworks and tooling (PyTorch, OpenAI SDK, LangChain, autogen)
• Professional experience with AIOps/MLOps tooling and concepts (MLflow, Model Registry, Model Monitoring)
• Professional experience with scaling and deploying AI/ML systems using tooling in Microsoft Azure and Google Cloud, including CI/CD, containerization, orchestration, and API development (in particular FastAPI)
• Professional experience with Kubernetes (AKS) and Helm
• Professional experience with Python
• Professional experience in ambiguous environments
• Skilled in problem solving, analytic thinking, and creativity
• Skilled in planning, organization, and verbal/written business communication
• Skilled in maintaining a positive leader persona in ambiguous and changing environments
• Demonstrated excellence as a teammate and leader
• 4-6 years relevant experience
• Education: Bachelor’s degree or higher in Software Engineering, Computer Science, Machine Learning, or a related field

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Lead Technical Product Manager – Agent Platform 

LOCATION: Cincinnati / Chicago (P4476) 

SUMMARY:  

The AI Enablement team at 84.51° is seeking a Lead Product Manager for its Agent Platform team. This team is responsible for architecting, implementing, maintaining, and supporting the use of the agentic foundation of the Kroger enterprise. 

The Lead Product Manager will discover, prioritize, plan the implementation of the agent platform – this could include: a control layer consisting of agent, MCP, eval, and prompt registries; evaluation and monitoring tools; and pro-code, low-code, and no-code development capabilities. The role will partner closely with engineering and data science leads to shape the roadmap, translate business and technical needs into clear requirements, and ensure the delivery of high-value, enterprise-grade capabilities that reduce time-to-value, improve quality and reliability, and promote safe, compliant use of agentic systems. 
 

RESPONSIBILITIES: 

• Own product discovery and roadmap for the managed agent platform 
• Maintain a current roadmap and communicate trade-offs, dependencies, and timelines to stakeholders and delivery teams 

• Translate business goals, user needs, and technical constraints into product requirements and acceptance criteria with a clear definition of done 

• Partner with the Agentic Foundations leadership, as well as engineering and data science leads, to plan quarters/cycles/sprints and ensure efficient, predictable delivery 

• Define and evolve core agentic platform capabilities, including: 

• Registries (agent/MCP/scorer/prompt), templates, and pattern libraries 

• Agent development and monitoring tools, including evaluation frameworks and observability 

• Integration with data and API layers and pro-code agent frameworks 

• Integration with enterprise AIOps/MLOps, CI/CD, and governance workflows 

• Facilitate user research and testing to understand developer and business user workflows; validate usability, safety, reliability, and performance 

• Analyze product usage and operational data to inform prioritization, measure value, and guide iteration 

• Drive adoption across customer teams through documentation, enablement, demos, and feedback loops; remove friction points and champion best practice 

• Ensure alignment with enterprise strategies for scale, reliability, safety, compliance, and cost-efficiency 

• Manage progress toward objectives; proactively surface risks, blocks, and cross-team dependencies; coordinate mitigation plans 

• Develop strong internal and external stakeholder relationships; influence and drive change in ambiguous, evolving environments 

• Communicate realized value and outcomes, including usage, adoption, productivity improvements, and risk reduction 

QUALIFICATIONS, SKILLS, AND EXPERIENCE:  

• Professional experience in leading enterprise AI, ML, or data platforms 

• Professional experience in a product/software development team  

• Professional experience in managing technical and business stakeholders  

• Professional experience in ambiguous environments  

• Skilled in a general technical acumen, able to efficiently converse with software engineers and AI engineers and understand their development processes  

• Skilled in managing cross-functional technical 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  

• Skilled in problem solving, analytic thinking, and creativity  

• Skilled in planning, organization, and verbal/written business communication  

• Skilled in maintaining a positive leader persona in ambiguous and changing environments  

• Skilled in quickly flexing between technical and business stakeholder conversations, adapting to a variety of audiences  

• Demonstrated excellence as a teammate and leader  

• 4-6 years relevant experience  

• Education: Bachelor’s degree or higher in Software Engineering, Computer Science, Machine Learning, or a related field 

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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.

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