Jobs at 84.51°

Defines and scales experiential in-store media within Kroger Precision Marketing. Owns portfolio strategy, product positioning, go-to-market adoption, monetization, pricing, partner governance, sales enablement, and cross-functional execution. Develops scalable media products, operating models, business cases, and measurement approaches that drive advertiser investment, revenue growth, and customer engagement across Kroger’s physical ecosystem.

Designs and delivers architectures for AI-enabled products across data platforms, APIs, cloud applications, machine learning workflows, and event-driven integrations. Partners with product, engineering, data science, security, and business teams to translate needs into technical designs, prototypes, implementation plans, and scalable production solutions. The role also defines API and governance patterns, evaluates emerging AI technologies, supports delivery teams, and mentors engineers on architecture and pragmatic technical execution.

Lead design and delivery of cloud-native, AI-ready data architectures and semantic layers. Define data models, integration patterns, governance, and migration roadmaps. Guide technical decisions, build reference implementations, mentor teams, and ensure security, cost management, and observability for production-grade AI and analytics platforms.

Lead strategy and execution for an AI Platform domain: set vision, manage multiple product teams, define measurable outcomes, build operating systems and reusable capabilities, partner with engineering and commercial teams, drive adoption, and coach product leaders to deliver production-ready, responsible AI features that create business impact.

Lead development of AI workforce platform infrastructure, including deployment automation, CI/CD pipelines, observability, configuration standards, prompt and skill marketplaces, MCP integrations, and workflow playbooks. Partner with engineering teams to embed AI tooling into development workflows, improve platform capabilities, document best practices, and provide technical leadership. The role includes production-quality coding, cross-functional communication, on-call participation, and business-hours customer support.

Leads the creation of an enterprise AI Reliability Engineering discipline, establishing production standards, SLOs, observability, AgentOps, incident response, resilience, quality controls, cost optimization, and safe deployment practices. Builds and leads a multidisciplinary engineering team while partnering across platform, AI, infrastructure, security, and Responsible AI organizations to ensure reliable, high-quality, scalable operation of models, agents, gateways, and shared AI services.

Serve as a strategic partner to CPG clients, managing integrated media and incentive activations from planning through optimization and reporting. Develop data-driven activation strategies, lead client communications, monitor campaign performance, resolve issues, and identify cross-sell and up-sell opportunities. Collaborate with sales, account management, media, insights, and campaign operations teams to deliver accurate, timely campaign execution and commercial growth.

Lead client-facing account strategy and growth for Media, Incentives, and Insights. Manage renewals, drive commercialization and cross-functional execution, lead and develop a team of success managers, engage senior client and Kroger stakeholders, and ensure efficient workflows and strong client retention.

Serve as a strategic client partner for CPG brands, driving media and incentive-based activation across planning, execution, optimization, and reporting. Lead client communications, campaign pacing, troubleshooting, and performance storytelling while identifying cross-sell and up-sell opportunities. Collaborate with sales, account, media, insights, and operations teams to ensure flawless activation and KPI achievement.

Lead a portfolio of clients and a small team to drive retention, organic growth, and client outcomes across Media, Incentives, and Insights. Build senior client and Kroger relationships, own renewal and growth strategies, run business planning and reviews, partner cross-functionally to remove execution barriers, and develop team capabilities while improving operational consistency and client value.

The role involves supporting investment reporting and performance analytics for Kroger and CPG partners using data insights to drive decision-making and optimize funding.

Design, build, and maintain Databricks and cloud-based data pipelines and tooling to ingest, transform, store, and distribute large retail datasets. Implement automated testing, CI/CD, and pipeline orchestration, mentor junior engineers, collaborate on architecture and estimations, and drive improvements in data engineering practices and reliability.

Lead end-to-end client partnerships for 84.51° products, build digital media plans, prospect and grow CPG and agency relationships, drive revenue against quota, coordinate cross-functional execution, use insights and CRM to inform strategies, and support advertising campaign delivery. Requires frequent client engagement and travel.

Lead a Labs team as a hands-on engineer building hybrid AI/optimization systems: design ML-augmented optimization, prototype and productionize solutions, architect MLOps/CI-CD, benchmark solvers, mentor engineers, and collaborate with researchers and stakeholders to scale reusable components and APIs across Kroger.

Lead end-to-end growth for enterprise, mid-tier and agency clients—balancing new business acquisition with client success, retention, and expansion. Manage and develop a client-facing team, drive revenue planning and forecasting, negotiate complex deals, influence product roadmaps, and coordinate cross-functional execution to deliver data-driven media, incentives, and insights. Represent the company externally and stay current on retail media and digital marketing trends.

Own product strategy and execution for AI-powered SDLC tooling. Define roadmaps, translate developer workflows into requirements, deliver scalable AI developer tools, measure adoption and value, manage cross-functional agile teams, and ensure governance, security, and responsible AI practices.

Lead Applied AI product initiatives: identify and co-develop high-impact AI use cases, lead prototypes/MVPs with cross-functional teams, drive adoption of GenAI and AI Enablement capabilities, champion responsible and explainable AI, run AI ideation workshops, manage AI Spoke network, track business value, and own product responsibilities (OKRs, roadmaps, planning, Jira execution).

Lead product owner for the AI Gateway platform driving roadmap, prioritization, backlog management, cross-functional delivery, stakeholder management, and measurement of AI product value. Requires translating business needs into technical requirements, defining acceptance criteria, and partnering with engineering, UX, and data science to deliver AI/Generative AI solutions.

Provide technical leadership for search and recommender systems: design, prototype, and deploy production-ready ML solutions (including LLM and agent-based methods); define evaluation and experimentation frameworks; partner with engineering on real-time serving, feature pipelines, and monitoring; drive cross-functional alignment and mentor data scientists.

Lead design and implementation of Databricks/Azure data solutions to ingest, store, transform, and distribute large-scale retail data. Own features through the SDLC, mentor engineers, lead cross-functional collaboration, build REST APIs on Kubernetes, execute testing, and set technical strategy with Product, Data Science, and Architecture.