{"data":{"company":{"name":"84.51°","slug":"84-51","logo_url":"https://logos.yubhub.co/8451.com.png","canonical_domain":"8451.com","editorial":null,"wikidata_id":"Q114757332","founded":"2015-04-01","ceo":null,"founders":[],"hq_location":"Cincinnati","industry":null,"employee_count":null,"official_website":"https://www.8451.com/","wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":"8451group","linkedin_id":"84-51","instagram_username":"84.51","facebook_id":"8451group","parent_org":"Kroger","country":"United States","github_org":"8451","github_public_repos":25,"github_followers":15,"github_verified":0,"github_description":null,"github_location":"Cincinnati, OH","github_blog":"http://www.8451.com","github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[],"search_interest_index":null,"search_interest_trend":null,"wikipedia_monthly_views":null,"hn_mention_count":0,"hn_top_stories":[],"wayback_first_year":2001,"sec_incorporation_state":null,"sec_latest_filing_type":null,"sec_latest_filing_date":null,"sec_filings":[],"research_papers_count":null,"research_citations_count":null,"research_h_index":null,"research_topics":[],"is_federal_contractor":null,"earnings_calendar":[],"industry_canonical":null,"enrichment_sources":["wikidata","github","hackernews","wayback"],"last_enriched_at":"2026-11-01T00:01:51.333Z"},"hiring":{"total_jobs":13,"categories":[{"category":"product management","count":5},{"category":"engineering","count":5},{"category":"consulting","count":2},{"category":"data science","count":1}],"experience_levels":[{"level":"senior","count":12},{"level":"executive","count":1}],"work_arrangements":[{"arrangement":"hybrid","count":11},{"arrangement":"onsite","count":2}],"top_titles":[{"title":"Solution Architect (P4643)","count":1},{"title":"Senior Product Manager - KPM Audience & Measurement Research(P4115)","count":1},{"title":"Senior Data Engineer (P1754) (P1752)","count":1},{"title":"Senior Consumer Researcher (P1222)","count":1},{"title":"Salesforce Reporting Specialist (P4092)","count":1},{"title":"Lead Software Engineer, AI (P4577)","count":1},{"title":"Lead Product Manager- Salesforce Platform (P765)","count":1},{"title":"Lead Product Manager - APPLIED AI (P4560)","count":1},{"title":"Lead Product Manager - AI Platforms Kroger Precision Marketing (P989)","count":1},{"title":"Lead Data Engineer","count":1},{"title":"Lead Business Development Consultant- Merchandising (P3796)","count":1},{"title":"Director, Software Engineering (P4474)","count":1},{"title":"Director, Product Management, AI Platform, Kroger Precision Marketing (P4644)","count":1}],"locations":[{"location":"cincinnati, oh; chicago, il","count":7},{"location":"cincinnati, oh, oh","count":3},{"location":"cincinnati, oh","count":3}],"skills":[{"skill":"Python","required":4,"preferred":1,"total":5},{"skill":"Kubernetes","required":2,"preferred":2,"total":4},{"skill":"Communication","required":4,"preferred":0,"total":4},{"skill":"Product Management","required":4,"preferred":0,"total":4},{"skill":"Generative AI","required":3,"preferred":0,"total":3},{"skill":"Governance","required":3,"preferred":0,"total":3},{"skill":"Azure","required":2,"preferred":1,"total":3},{"skill":"Databricks","required":3,"preferred":0,"total":3},{"skill":"Apache Spark","required":3,"preferred":0,"total":3},{"skill":"Monitoring","required":2,"preferred":0,"total":2},{"skill":"Retail Analytics","required":0,"preferred":2,"total":2},{"skill":"Retail Media","required":0,"preferred":2,"total":2},{"skill":"Helm","required":1,"preferred":1,"total":2},{"skill":"Critical Thinking","required":2,"preferred":0,"total":2},{"skill":"Influencing","required":2,"preferred":0,"total":2},{"skill":"Salesforce","required":2,"preferred":0,"total":2},{"skill":"Problem-Solving","required":2,"preferred":0,"total":2},{"skill":"Organizational Skills","required":2,"preferred":0,"total":2},{"skill":"Platform Engineering","required":2,"preferred":0,"total":2},{"skill":"CI/CD","required":2,"preferred":0,"total":2}],"salary_stats":{"count":12,"min":118575,"q1":145000,"median":166000,"q3":212000,"max":212100},"job_types":[{"type":"full-time","count":13}],"latest_jobs":[{"id":"job_3d35aca3-782","title":"Senior Product Manager - KPM Audience & Measurement Research(P4115)","source_url":"https://job-boards.greenhouse.io/8451/jobs/8924413002","location":"Cincinnati, OH, OH","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Product Management","description":"<p>84.51° is a retail data science, insights and media company. They help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.</p>\n<p>The Senior Product Manager, Measurement Research, will shape how Kroger Precision Marketing (KPM) proves the value of advertising for the brands they work with. This role will own the strategy and delivery of new measurement products, helping KPM measure more of its media, deliver results faster, and offer the metrics brands care about most.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the product strategy and roadmap for new measurement capabilities</li>\n<li>Partner with data science to take new measurement methods from research to launch</li>\n<li>Lead discovery with internal teams and brands to understand which results they need</li>\n<li>Work with the measurement platform product manager and engineering to ensure new methods are built in a standardized way</li>\n<li>Plan and manage new product launches</li>\n<li>Partner with platform teams to bring measurement results into the places brands plan and buy media</li>\n<li>Communicate the value, trade-offs and status of measurement work to leaders and stakeholders</li>\n<li>Stay current on industry measurement standards and competitor approaches</li>\n<li>Lead the development, championing and prioritizing of a team backlog</li>\n<li>Manage work with a product mindset, focusing on outcomes over outputs</li>\n</ul>\n<p>Qualifications, Skills, and Experience:</p>\n<ul>\n<li>Experience in product management for data, analytics, advertising or measurement products</li>\n<li>Working knowledge of how marketing results are measured</li>\n<li>Comfortable partnering with data scientists and translating complex methods into clear product requirements</li>\n<li>Effective managing cross-functional software development teams in an agile environment</li>\n<li>Effective managing end-to-end product development and releases</li>\n<li>Stakeholder management skills</li>\n<li>Problem solving, critical thinking and analytical skills</li>\n<li>Comfort with ambiguity</li>\n<li>Verbal and written communication skills</li>\n<li>Technical acumen</li>\n<li>Exhibits qualities of, and has proven to be, a great teammate</li>\n<li>4+ years relevant experience</li>\n</ul>\n<p>Pay Transparency and Benefits:</p>\n<ul>\n<li>The stated salary range represents the entire span applicable across all geographic markets from lowest to highest</li>\n<li>Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor</li>\n<li>In addition to salary, this position is also eligible for variable compensation</li>\n<li>Benefits include health, wealth, and happiness programs</li>\n</ul>","enriched_at":1793434934135},{"id":"job_d2095e17-302","title":"Senior Data Engineer (P1754) (P1752)","source_url":"https://job-boards.greenhouse.io/8451/jobs/8923332002","location":"Cincinnati, OH, OH","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>Join 84.51°, a retail data science, insights and media company, as a Senior Data Engineer. You will take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC, including internal and external facing applications as well as process improvement activities.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Participate in the design and development of Databricks and Cloud-based solutions</li>\n<li>Implement automated unit and integration testing</li>\n<li>Collaborate with architecture and lead engineers to ensure consistent development practices</li>\n<li>Provide mentoring to junior engineers</li>\n<li>Collaborate within a cross-functional team of data scientists, Product partners, and engineers to translate analytical needs into reliable data pipelines and scalable solutions</li>\n<li>Participate in retrospective reviews</li>\n<li>Participate in the estimation process for new work and releases</li>\n<li>Collaborate with other engineers to solve and bring new perspectives to complex problems</li>\n<li>Drive improvements in data engineering practices, procedures, and ways of working</li>\n<li>Embrace new technologies and an ever-changing environment</li>\n<li>Prepare, validate, and organize governed data and metadata to support reliable analytics and downstream data consumers.</li>\n</ul>\n<p>Qualifications, Skills, and Experience:</p>\n<ul>\n<li>Bachelor’s Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM)</li>\n<li>3+ years proven ability of professional Data Development experience</li>\n<li>3+ years proven ability of developing with Databricks</li>\n<li>3+ years of experience with PySpark/Spark</li>\n<li>3+ years of experience developing with either Python or Java</li>\n<li>Full understanding of ETL concepts and Data Warehousing concepts</li>\n<li>Experience with Pipeline Orchestration</li>\n<li>Experience with CI/CD</li>\n<li>Experience with version control software</li>\n<li>Strong understanding of Agile Principles (Scrum)</li>\n<li>Experience preparing and validating data for downstream consumers, with an emphasis on data quality, governance, and clear metadata documentation.</li>\n</ul>\n<p>Bonus Points for Experience in the Following:</p>\n<ul>\n<li>Experience with Azure</li>\n<li>Experience with Databricks Delta Tables, Delta Lake, Delta Live Tables</li>\n<li>Proficient with Relational Data Modeling</li>\n<li>Experience with Python Library Development</li>\n<li>Experience with Structured Streaming (Spark or otherwise)</li>\n<li>Experience with Kafka and/or Azure Event Hub</li>\n<li>Experience with Github SaaS / Github Actions</li>\n<li>Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.)</li>\n<li>Experience with Kubernetes and Azure Kubernetes Service (AKS).</li>\n<li>Experience building APIs with FastAPI.</li>\n</ul>\n<p>Pay Transparency and Benefits:</p>\n<ul>\n<li>The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor.</li>\n<li>Base Pay Range: $121,000-$169,000 USD</li>\n<li>Benefits include health, wealth, and happiness programs.</li>\n</ul>","enriched_at":1793434916083},{"id":"job_51e0fd27-9b8","title":"Senior Consumer Researcher (P1222)","source_url":"https://job-boards.greenhouse.io/8451/jobs/8923812002","location":"Cincinnati, OH, OH","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Consulting","description":"<p>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.</p>\n<p>A Senior Researcher on our Research Insights team is a hands-on researcher accountable for independently leading the day-to-day execution and delivery of consumer research projects from start to finish. This role translates business questions into research approaches, executes research across qualitative and quantitative methodologies, and synthesizes new and existing learning into clear insights and recommendations that inform business decisions.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Research Execution &amp; Delivery:</li>\n<li>Independently execute research projects end-to-end partnering with Lead Researchers and stakeholders to recommend and align on appropriate scope and method, clarify business questions and translate them into research objectives, design or customize questionnaires/discussion guides, manage vendors and internal partners through fieldwork, synthesize across new and existing research, behavioral data and other relevant sources, develop clear, decision-oriented insights and recommendations, apply strong judgment in balancing speed, depth, feasibility, and cost in execution, and ensure quality, rigor, and clarity across all deliverables.</li>\n<li>Stakeholder &amp; Project Management:</li>\n<li>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, and show up as a confident research partner in working sessions and readouts.</li>\n<li>Ways of Working &amp; Team Contribution:</li>\n<li>Operate effectively within CR request intake, scoping, and prioritization processes, leverage existing research, AI-enabled capabilities, products, and tools before defaulting to custom solutions, contribute to shared learning by documenting work, sharing best practices, and flagging patterns across projects, and partner closely with Lead Researchers, Consultants, CX Measurement, and Research Operations.</li>\n</ul>\n<p><strong>Qualifications, Skills, and Experience:</strong></p>\n<ul>\n<li>Experience executing multiple research projects simultaneously with minimal oversight</li>\n<li>Comfort working across data types (qual, quant, secondary) and synthesizing into clear stories</li>\n<li>Strong analytical thinking and ability to translate findings into implications and recommendations</li>\n<li>Clear, concise communicator,able to present insights to non-research audiences</li>\n<li>Strong organizational skills and attention to detail</li>\n<li>Comfortable operating in a fast-moving, sometimes ambiguous environment</li>\n<li>Tools &amp; Platforms (experience with some preferred): Qualtrics, SPSS/R/Python/Alteryx, Tableau/PowerPoint, insights repositories, and qualitative platforms (e.g., VoxPopMe, QualBoard)</li>\n</ul>\n<p><strong>Education:</strong></p>\n<ul>\n<li>Bachelor’s degree or equivalent, ideally in business, marketing, social sciences, psychology or analytics/statistics.</li>\n<li>3-5 years of industry experience</li>\n</ul>\n<p><strong>Pay Transparency and Benefits:</strong></p>\n<ul>\n<li>The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.</li>\n<li>Base Pay Range: $98,000-$139,150 USD</li>\n<li>Benefits: Health, Wealth, Happiness</li>\n</ul>","enriched_at":1793434898711},{"id":"job_eed81a91-ebc","title":"Lead Data Engineer","source_url":"https://job-boards.greenhouse.io/8451/jobs/8773368002","location":"Cincinnati, OH","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>As a Lead Data Engineer, you will design and implement solutions to ingest, store, transform, and distribute big data on Azure Cloud.</p>\n<p>Our developers use Databricks (Spark, SQL, PySpark), Databricks Workflows, Python, JSON, and SQL to build products, tools, and features that power customer personalization at scale.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC.</li>\n<li>Develop business domain understanding and bridge this to technical stakeholders.</li>\n<li>Set technical strategy in partnership with Data Science, Product, Architecture, and Kroger partners.</li>\n<li>Oversee teams of Engineers including operations and development, blended Offshore/Onshore.</li>\n<li>Provide mentoring to junior resources.</li>\n<li>Lead design and development of Databricks-based solutions.</li>\n<li>Perform development of REST APIs hosted in Kubernetes.</li>\n<li>Execute unit and integration testing.</li>\n<li>Collaborate with senior resources to ensure consistent development practices.</li>\n<li>Bring new perspectives to problems and be driven to improve yourself and the way things are done.</li>\n</ul>\n<p>Qualifications, Skills, and Experience:</p>\n<ul>\n<li>Bachelor’s degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program.</li>\n<li>5+ years proven ability of professional data development experience.</li>\n<li>Strong understanding of Agile Principles (Scrum).</li>\n<li>5+ years proven ability of developing with Spark (Databricks, PySpark).</li>\n<li>Full understanding of ETL concepts and data warehousing concepts.</li>\n<li>3+ years developing experience with Python.</li>\n<li>1+ year developing experience with REST APIs.</li>\n<li>1+ year experience with Kubernetes.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Health: Medical, dental, and vision benefits with competitive plan designs and support for self-care, wellness, and mental health.</li>\n<li>Wealth: 401(k) with Roth option and matching contribution, Health Savings Account with matching contribution, AD&amp;D and supplemental insurance options.</li>\n<li>Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, and 6 company-paid holidays per year.</li>\n</ul>","enriched_at":1793434880759},{"id":"job_475b708b-087","title":"Lead Product Manager - APPLIED AI (P4560)","source_url":"https://job-boards.greenhouse.io/8451/jobs/8631401002","location":"Cincinnati, OH; Chicago, IL","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Product Management","description":"<p>We’re looking for a strategic, collaborative, and delivery-minded Applied AI Lead to help bring AI to life across Kroger, KTD and 84.51°. This role sits at the intersection of AI capability development and business impact, focused on driving AI adoption and application, from consultation to co-development.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with business and product teams to identify, co-develop, and validate high-impact use cases</li>\n<li>Lead Applied AI MVP and prototype delivery in close collaboration with data scientists, engineers, and UX</li>\n<li>Drive adoption of AI Enablement capabilities, GenAI productivity tools, and reusable components across business teams</li>\n<li>Champion responsible, explainable, and user-centered AI in all applied solutions</li>\n<li>Lead Super Agent (orchestration) strategy and implementation for Customer-facing and Supplier-facing experiences</li>\n<li>Serve as AI representative/lead on high-value, end-to-end initiatives, in a ‘tiger team’ capacity</li>\n<li>Own AI Spoke Lead network (AI advocates named on each business team) through monthly meetings, regular Teams communications, and ongoing check-ins; enable AI Spoke Leads to lead AI consults on their own teams and surface high-priority opportunities to our team</li>\n<li>Facilitate and scale AI opportunities through AI ideation workshop sessions</li>\n<li>Track ongoing business value of AI use cases</li>\n<li>Own core product management responsibilities, including OKRs, roadmaps, planning cycles, and day‑to‑day execution in Jira</li>\n</ul>\n<p>Qualifications, Skills, and Experience:</p>\n<ul>\n<li>Minimum Bachelor’s degree</li>\n<li>7+ years of experience influencing and driving business strategy, bridging technical and business needs, and driving cross-functional impact</li>\n<li>Strong understanding of AI/ML and GenAI technologies, and how to apply them to business problems</li>\n<li>Stakeholder management - proven relationship-builder with ability to lead cross-functional initiatives, facilitate workshops, influence and align diverse stakeholder groups to drive change</li>\n<li>Technical liaison - ability to effectively translate business requirements into clear technical specifications for DSR and Engineering teams</li>\n<li>Organize the chaos - demonstrated expertise in managing competing priorities across multiple business teams simultaneously, and ability to bring structure and clarity to complex, fast-moving environments</li>\n<li>Proactive influence - proactively seeks out opportunities, identifies unmet needs, and drives adoption of innovation solutions rather than waiting for inbound requests</li>\n<li>Executive-level presence - proven ability to influence senior stakeholders and navigate organization dynamics to advance strategic initiatives, and challenge existing processes when needed</li>\n<li>Business acumen - knows the 84.51 business, and has experience navigating KTD and GO initiatives and knows the cross-team ways of working</li>\n<li>Process-oriented - product management experience or process-oriented mindset for OKR, cycle planning, and roadmap development</li>\n<li>Intellectually curious and love learning new skills and capabilities, i.e., agile principles and AI technologies</li>\n<li>Value-driven decision making - proven track record of tracking business value and making data-driven prioritization decisions</li>\n</ul>","enriched_at":1792851791028},{"id":"job_4fb0a470-38b","title":"Lead Product Manager - AI Platforms Kroger Precision Marketing (P989)","source_url":"https://job-boards.greenhouse.io/8451/jobs/8842412002","location":"Cincinnati, OH; Chicago, IL","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Product Management","description":"<h4>84.51° Overview</h4>\n<p>84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.</p>\n<p>84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.</p>\n<h4>Role Summary</h4>\n<p>Kroger Precision Marketing (KPM) has launched an AI Platform domain to define how AI is built, scaled, and used across internal teams and external brand-facing platforms.</p>\n<p>This Senior Product Manager role leads a cross-functional team across Data Science and Engineering and owns the roadmap for the shared foundation that helps KPM teams build trusted agents at scale. The north star for this foundation is to reduce the time and cost of building new AI capabilities by turning common infrastructure, context, tooling, and governance into reusable platform services. This foundation is what makes a unified KPM AI experience possible , one assistant, across every platform, workflow, and team, built once and delivered everywhere.</p>\n<p>The work spans two layers. The infrastructure layer includes enterprise agent development and deployment patterns, shared chat and notification experiences, Agent-to-Agent (A2A) interactions, and Model Context Protocol (MCP) infrastructure. The intelligence and quality layer includes context-layer capabilities, agent reasoning and evaluation, LLM observability, feedback loop design, product analytics, and governance.</p>\n<p>The role partners with the AI Platform Director to connect these capabilities to the broader domain vision while creating practical, reusable platform services that teams can build on without reinventing the same foundations.</p>\n<h4>Key Responsibilities</h4>\n<ul>\n<li>Own the platform roadmap: translate the AI Platform vision into a clear roadmap, proactively define plans to move the work forward, and sequence foundational capabilities based on customer needs, business value, technical readiness, risk, cost, and reuse potential</li>\n<li>Scale reusable AI foundations: own shared agent infrastructure, context-layer capabilities, deployment patterns, tooling, and standards that help teams build new AI capabilities faster without duplicating platform wiring</li>\n<li>Know your builders: partner with product and agent builders to understand how they work, where they are blocked, and what shared capabilities would unlock the most value across the portfolio</li>\n<li>Pick the right bets: identify the highest-leverage platform investments, make explicit tradeoffs, and focus the team on the capabilities that unlock the most reuse, adoption, and downstream product impact</li>\n<li>Lead with market-informed judgment: stay current on AI trends, vendors, and competitor moves; form a clear point of view; seek input early; and adjust quickly when evidence points to a better approach</li>\n<li>Ship with momentum: drive delivery with Agile Delivery, Data Science, and Engineering by managing scope, dependencies, risks, tradeoffs, and timelines</li>\n<li>Drive adoption, quality, and impact: define rollout plans, success measures, agent quality evaluations, observability signals, and feedback loops that improve reliability, adoption, and business impact</li>\n<li>Enable the organization: educate teams on the platform, how to use it, and where it is going; rally stakeholders around the shared vision; and create the forums, documentation, and lightweight processes that help builders adopt the platform consistently</li>\n<li>Communicate clearly and build trust: communicate plans, progress, tradeoffs, risks, and decisions with clarity; raise issues early with context and options; and earn trust through strong follow-through and reliable decision-making</li>\n</ul>\n<h4>Minimum Qualifications</h4>\n<ul>\n<li>Product management: 3–5 years of product management experience</li>\n<li>GenAI product delivery and quality: strong understanding of how LLM-powered and agentic products move from prototype to production, including prompt and context design, RAG, orchestration, tool integration, evaluation frameworks, LLM observability, feedback loops, governance, and rollout</li>\n<li>Platform and builder mindset: experience building shared platforms, internal developer tools, or reusable capabilities where product and engineering teams are the primary customers</li>\n<li>Stakeholder intake and roadmap tradeoffs: experience gathering needs from multiple stakeholders, reconciling competing priorities, and sequencing shared platform work under resource constraints</li>\n<li>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</li>\n<li>Communication: ability to translate technical complexity into clear decisions, tradeoffs, risks, and recommendations for business and technical audiences</li>\n<li>Leadership: a humble, direct leadership style, comfortable saying “I don’t know,” and confident leading toward an answer</li>\n<li>Operating judgment: ability to move quickly while respecting security, governance, and enterprise delivery standards</li>\n</ul>\n<h4>Preferred Qualifications</h4>\n<ul>\n<li>B2B platform: experience building products for large, diverse internal or external user bases</li>\n<li>Industry: familiarity with retail analytics, retail media, adtech, and data-driven marketing platforms</li>\n<li>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>\n<li>AI evaluation and observability: familiarity with LLM evaluation frameworks, agent quality measurement, AI observability tooling, or feedback loop design</li>\n</ul>\n<h4>Pay Transparency and Benefits</h4>\n<ul>\n<li>The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.</li>\n<li>Base Pay Range: $125,000-$170,000 USD</li>\n<li>Benefits:</li>\n<li>Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.</li>\n<li>Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&amp;D and supplemental insurance options to help ensure additional protection for you.</li>\n<li>Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.</li>\n</ul>","enriched_at":1792851742817},{"id":"job_d3facae5-392","title":"Lead Business Development Consultant- Merchandising (P3796)","source_url":"https://job-boards.greenhouse.io/8451/jobs/8879198002","location":"Cincinnati, OH","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Consulting","description":"<h4>Overview</h4>\n<p>At 84.51°, people are the key to everything. We are dedicated to always doing what&#39;s right and never compromising on our values. That&#39;s why we have created a culture where every opinion is respected, and contrary thinking is encouraged.</p>\n<h4>Responsibilities</h4>\n<p>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&#39; 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&#39;s voice influences every decision as you identify problems, develop solutions, activate insights and evaluate the impact on customers for Kroger and CPGs.</p>\n<p>Your primary client is Kroger, one of the world&#39;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.</p>\n<p>Your primary area of focus is advancing Supplier Impact Maximization (SIM) capabilities that help Kroger and its supplier partners optimize merchandising and commercial investments through customer science, advanced analytics, and data-driven decision support. This includes evaluating investment effectiveness, identifying opportunities to improve return on investment, and delivering insights that inform planning, funding, and activation strategies across the enterprise.</p>\n<h4>Qualifications, Skills, and Experience</h4>\n<p>Successful candidates will thrive in a fast-paced environment that is a little unorthodox at times and will possess the following:</p>\n<ul>\n<li>4-8 years of relevant experience</li>\n<li>Critical thinking skills</li>\n<li>Influencing skills</li>\n<li>Relationship management skills</li>\n<li>Strong business/commercial acumen</li>\n<li>Strong communication skills</li>\n<li>Tools and process acumen</li>\n<li>Education: Bachelor&#39;s degree (Master&#39;s Degree preferred but not required)</li>\n</ul>\n<h4>Pay Transparency and Benefits</h4>\n<p>The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.</p>\n<p>Below is a list of some of the benefits we offer our associates:</p>\n<ul>\n<li>Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.</li>\n<li>Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&amp;D and supplemental insurance options to help ensure additional protection for you.</li>\n<li>Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.</li>\n</ul>","enriched_at":1792851254966},{"id":"job_d0f8226b-804","title":"Director, Software Engineering (P4474)","source_url":"https://job-boards.greenhouse.io/8451/jobs/8618229002","location":"Cincinnati, OH; Chicago, IL","job_type":"full-time","experience_level":"executive","work_arrangement":"hybrid","category":"Engineering","description":"<p>The AI Enablement team at 84.51° is seeking a Director of Software Engineering for its Agentic Foundations team.</p>\n<p>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.</p>\n<p>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.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with the Director of Product Management for Agentic Foundations to jointly lead the space for the Kroger enterprise</li>\n<li>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</li>\n<li>Lead and manage hiring efforts for engineers on the Agentic Foundations team</li>\n<li>Own and manage offshore reliability engineering teams</li>\n<li>Provide in-depth technical leadership in the scoping and implementation of enterprise-grade solutions to support agents across the Kroger enterprise</li>\n<li>Provide operational leadership across agentic platforms, ensuring enterprise-grade reliability, observability, and incident management</li>\n<li>Maintain an up-to-date expertise on agentic workflows, frameworks, platforms, and best practices to identify and inform new capabilities for implementation</li>\n<li>Foster a collaborative and innovative team environment, encouraging professional growth and development among team members</li>\n<li>Reduce the development time of the team by leveraging agentic SDLC tooling provided by the enterprise</li>\n<li>Lead the abstraction of tooling and services to user-friendly interfaces like APIs, Python packages, or UIs</li>\n<li>Understand business requirements and trade-off scale, risk, and accuracy to maximize value and translate research into consumable products or services</li>\n<li>Guide the development teams to follow software development standards, including version control, documentation, testing, and support</li>\n<li>Make time-sensitive decisions and solve urgent problems without escalation</li>\n</ul>\n<p>Qualifications, Skills, and Experience:</p>\n<ul>\n<li>7+ years professional experience with cloud-based software architecture focused on scalability, performance, and reliability</li>\n<li>7+ years professional experience with end-to-end SDLC leveraging CI/CD and AIOps/MLOps, including experience with agentic SDLC tooling</li>\n<li>7+ years professional experience with large-scale AI/ML systems, including 2+ years with GenAI and deep learning methods</li>\n<li>Professional experience with production-grade agentic systems</li>\n<li>Professional experience with AI/ML frameworks and tooling (PyTorch, OpenAI SDK, LangChain, autogen)</li>\n<li>Professional experience with AIOps/MLOps tooling and concepts (MLflow, Model Registry, Model Monitoring)</li>\n<li>Professional experience with scaling and deploying AI/ML systems using tooling in Microsoft Azure and Google Cloud</li>\n<li>Professional experience with Kubernetes (AKS) and Helm</li>\n<li>Professional experience with Python</li>\n<li>Professional experience with infrastructure-as-code using Terraform</li>\n<li>Professional experience leading technical teams and consulting with customers</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Health: Medical, Dental, Vision</li>\n<li>Wealth: 401(k) with Roth option and matching contribution, Health Savings Account with matching contribution</li>\n<li>Happiness: Paid time off, 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, 6 company-paid holidays per year</li>\n</ul>","enriched_at":1792851125045},{"id":"job_90db61b8-ced","title":"Director, Product Management, AI Platform, Kroger Precision Marketing (P4644)","source_url":"https://job-boards.greenhouse.io/8451/jobs/8614134002","location":"Cincinnati, OH; Chicago, IL","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Product Management","description":"<h4>Job Summary</h4>\n<p>Kroger Precision Marketing (KPM) has launched an AI Platform domain to define how AI is built, scaled, and used across internal teams and external brand-facing platforms. This is a high-impact opportunity to shape how KPM does AI: setting the vision, strategy, and operating model that help product teams turn emerging technology into practical, trusted, production-ready capabilities.</p>\n<p>The AI Platform domain brings that strategy to life by consulting with teams on shared resources, standards, guardrails, best practices, and upskilling; accelerating innovation by building early capabilities on behalf of teams before transitioning long-term ownership; and operationalizing reusable skills, tools, access layers, and delivery patterns that reduce the path from idea to production-ready launch. This leader will have the trust and autonomy to shape strategy, take thoughtful creative bets, iterate quickly, and build the operating model needed to make AI a durable advantage for KPM.</p>\n<h4>Key Responsibilities</h4>\n<ul>\n<li>Set the AI vision: define the product vision and strategy for how AI shows up across KPM, anchored in customer value, commercial impact, responsible delivery, and long-term platform leverage</li>\n</ul>\n<ul>\n<li>Lead the domain portfolio: manage multiple product teams across the AI Platform domain, ensuring roadmaps ladder to shared outcomes, clear sequencing, and the highest-value bets</li>\n</ul>\n<ul>\n<li>Coach product leaders: develop Product Managers by helping them shape team vision, set 18-month roadmaps, clarify outcome metrics, and make stronger prioritization and tradeoff decisions</li>\n</ul>\n<ul>\n<li>Define domain outcomes: establish measurable outcomes that Product, Engineering, Design, Data Science, Commercial, and Strategy teams can align around and use to guide planning and execution</li>\n</ul>\n<ul>\n<li>Build the operating system: create repeatable systems, standards, and decision frameworks that help KPM teams develop AI products quickly, consistently, and safely</li>\n</ul>\n<ul>\n<li>Scale reusable capabilities: guide investment in shared AI capabilities, skills, patterns, evaluation methods, and tooling that reduce duplication and accelerate product teams across the business</li>\n</ul>\n<ul>\n<li>Shape go-to-market strategy: partner with Commercial and Strategy leaders to ensure product strategy informs go-to-market motions, while market needs, customer priorities, and commercial goals shape roadmap decisions</li>\n</ul>\n<ul>\n<li>Align technical direction: partner with Engineering, Data Science, and Architecture leaders to define requirements, evaluate technical options, and make decisions based on risks, tradeoffs, opportunities, scalability, and platform fit</li>\n</ul>\n<ul>\n<li>Coordinate across product domains: partner with peer Product Directors to align roadmaps, clarify ownership, manage dependencies, and ensure broader KPM outcomes are pursued cohesively across domains</li>\n</ul>\n<ul>\n<li>Stay ahead of the market: track emerging AI strategy, retail media innovation, competitive moves, and vendor capabilities, then translate that signal into a differentiated niche KPM can credibly pursue</li>\n</ul>\n<ul>\n<li>Make smart portfolio tradeoffs: balance customer needs, business value, technical readiness, risk, cost, and reuse potential to decide what to accelerate, pause, partner on, or stop</li>\n</ul>\n<ul>\n<li>Drive adoption and impact: build a productionized AI engine by shipping new capabilities, iterating on released features, defining rollout plans, establishing success measures, and creating feedback loops that continuously improve quality, adoption, and business impact</li>\n</ul>\n<ul>\n<li>Tell the strategic story: communicate the AI portfolio narrative, progress, risks, tradeoffs, and decisions with clarity for executives, cross-functional leaders, and delivery teams</li>\n</ul>\n<ul>\n<li>Build a high-trust culture: create an environment where teams move fast, learn quickly, challenge assumptions, and stay accountable to shared outcomes</li>\n</ul>\n<h4>Minimum Qualifications</h4>\n<ul>\n<li>Product leadership: 6-10+ years of product management experience, including experience leading multiple product teams, domains, or complex product portfolios</li>\n</ul>\n<ul>\n<li>Degree Requirements: Bachelor’s degree or equivalent experience.</li>\n</ul>\n<ul>\n<li>Portfolio strategy: ability to set long-term direction, connect multiple team roadmaps into a coherent 18-month portfolio plan, and make tradeoffs across competing priorities</li>\n</ul>\n<ul>\n<li>People leadership: experience coaching Product Managers, raising the quality of roadmaps, improving decision-making, and helping teams translate strategy into clear outcomes and execution plans</li>\n</ul>\n<ul>\n<li>AI expertise: deep understanding of GenAI, AI/ML product development, retrieval-augmented generation (RAG), model context protocol (MCP), agent patterns and skills, agent-to-agent interactions, data readiness, model development, evaluation, deployment, monitoring, governance, responsible AI practices, quality controls, and safety guardrails, with the technical judgment to shape vision, guide architecture tradeoffs, and challenge assumptions across Product, Engineering, and Data Science</li>\n</ul>\n<ul>\n<li>Commercial partnership: proven ability to partner with Commercial and Strategy leaders to shape how product strategy informs go-to-market strategy, and how market needs, customer priorities, and commercial goals shape product direction</li>\n</ul>\n<ul>\n<li>Technical partnership: deep experience partnering with Engineering, Data Science, and Architecture leaders to define product requirements, evaluate technical architecture options, and make decisions based on risks, tradeoffs, opportunities, scalability, and long-term platform fit</li>\n</ul>\n<ul>\n<li>Cross-domain alignment: experience partnering with peer Product Directors to coordinate roadmap dependencies, clarify ownership across domains, sequence when roadmaps come together, and ensure broader KPM outcomes are pursued cohesively across connected product areas</li>\n</ul>\n<ul>\n<li>Product judgment and measurement: ability to combine strong product intuition with evidence from product analytics, user research, customer feedback, experimentation, and portfolio-level success metrics, using data to pressure-test decisions, identify what teams should chase next, and build a compelling case for why it matters</li>\n</ul>\n<ul>\n<li>Systems thinking: ability to design scalable operating models, reusable product patterns, and governance mechanisms that help teams build AI faster, with more consistency and trust</li>\n</ul>\n<ul>\n<li>Executive communication: ability to translate complex product, technical, and commercial topics into clear recommendations, risks, decisions, and strategic narratives</li>\n</ul>\n<ul>\n<li>Market awareness: ability to translate AI trends, competitive moves, and emerging capabilities into a differentiated strategy for KPM</li>\n</ul>\n<h4>Preferred Qualifications</h4>\n<ul>\n<li>B2B software experience: experience leading B2B software products, ideally platform products that serve multiple product teams, business users, or enterprise customer groups</li>\n</ul>\n<ul>\n<li>Industry depth: familiarity with retail analytics, retail media, adtech, data-driven marketing platforms, and the commercial models that support them</li>\n</ul>\n<ul>\n<li>Technical background: direct experience in Engineering, Data Science, Architecture, or another technical discipline is preferred, as it strengthens empathy, credibility, and decision quality when working through complex technical choices</li>\n</ul>\n<h4>Pay Transparency and Benefits</h4>\n<ul>\n<li>The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.</li>\n</ul>\n<ul>\n<li>Below is a list of some of the benefits we offer our associates:</li>\n</ul>\n<ul>\n<li>Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.</li>\n</ul>\n<ul>\n<li>Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&amp;D and supplemental insurance options to help ensure additional protection for you.</li>\n</ul>\n<ul>\n<li>Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.</li>\n</ul>\n<p>Base Pay Range $162,000-$262,200 USD</p>","enriched_at":1792851081650},{"id":"job_a4c14c75-1c2","title":"Solution Architect (P4643)","source_url":"https://job-boards.greenhouse.io/8451/jobs/8733073002","location":"Cincinnati, OH; Chicago, IL","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>84.51° is seeking a Solutions Architect to help design and deliver the technical foundations that power AI-enabled products across the Kroger Precision Marketing portfolio.</p>\n<p>In this role, you will define practical architecture patterns that make data, APIs, and platform capabilities easier to access, govern, integrate, and scale. You will work closely with data scientists, ML engineers, software engineers, data engineers, product managers, and business stakeholders to translate complex product and data needs into production-ready solutions.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with product managers, engineers, data scientists, machine learning engineers, and business stakeholders to understand problems, shape solutions, and define technical paths forward.</li>\n<li>Design end-to-end solution architectures across data platforms, APIs, AI-enabled applications, internal tools, and client-facing capabilities.</li>\n<li>Translate business and product needs into technical designs, implementation plans, architecture diagrams, and phased delivery roadmaps.</li>\n<li>Build prototypes, proofs of concept, and reference implementations to validate technical feasibility and help teams move faster.</li>\n<li>Help define practical architecture patterns for cloud applications, APIs, data pipelines, semantic layers, AI and machine learning workflows, and event-driven integrations.</li>\n<li>Work with engineering teams to make key technical decisions around system design, integration patterns, data models, platform choices, and build versus buy trade-offs.</li>\n<li>Help shape API strategies that make data, models, and platform capabilities easier to consume securely and consistently across teams and products.</li>\n<li>Create solution design documents, API specifications, architecture decision records, reference architectures, and technical implementation guidance.</li>\n<li>Embed with delivery teams when needed to clarify requirements, unblock implementation issues, validate technical feasibility, or help move a concept from prototype to production.</li>\n<li>Partner with security, data governance, and platform teams to ensure solutions are secure, compliant, observable, and supportable.</li>\n<li>Mentor engineers and technical teams on architecture practices, API design, data architecture, AI system design, and pragmatic delivery.</li>\n<li>Evaluate emerging technologies, including managed AI platforms, semantic layer tools, agent frameworks, and cloud data services, with a focus on practical adoption.</li>\n</ul>\n<p>Qualifications, Skills, Experience:</p>\n<ul>\n<li>Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field, or equivalent practical experience.</li>\n<li>7 or more years of experience in software engineering, data engineering, platform engineering, solution architecture, or a related technical role.</li>\n<li>3 or more years of experience in a technical leadership, architecture, staff engineer, principal engineer, or solution design role.</li>\n<li>Experience designing distributed systems, APIs, data platforms, or cloud applications.</li>\n<li>Strong understanding of architecture patterns such as microservices, API-first design, event-driven architecture, domain-driven design, and evolutionary architecture.</li>\n<li>Experience with cloud platforms, preferably Azure, and modern data platform patterns.</li>\n<li>Experience building prototypes or proof-of-concept solutions to validate ideas before full-scale implementation.</li>\n<li>Experience working with cross-functional teams including product, engineering, data science stakeholders.</li>\n<li>Experience with CI/CD, automated testing, monitoring, logging, and production support practices.</li>\n<li>Experience with Databricks, Snowflake, Delta Lake, Azure Data Lake Storage, Spark, or similar cloud data platforms.</li>\n<li>Familiarity with AI and machine learning system patterns such as model training pipelines, inference services, feature engineering, model registries, or MLOps.</li>\n<li>Familiarity with LLM application patterns such as retrieval-augmented generation, semantic search, vector databases, prompt orchestration, or AI agents.</li>\n<li>Experience with managed AI services such as Azure OpenAI, Databricks AI and ML capabilities, Snowflake Cortex AI, or similar platforms.</li>\n<li>Experience designing REST, GraphQL, event-based, or asynchronous APIs.</li>\n<li>Familiarity with API gateways, OAuth, OIDC, OpenAPI specifications, rate limiting, versioning, and service-to-service authentication.</li>\n<li>Experience with governance, security, and observability concepts including RBAC, lineage, audit logging, cost attribution, data access controls, and platform monitoring.</li>\n<li>Experience in retail media, ad tech, marketing technology, customer analytics, loyalty, or large-scale consumer data environments.</li>\n</ul>\n<p>Pay Transparency and Benefits:</p>\n<ul>\n<li>The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor.</li>\n<li>In addition to salary, this position is also eligible for variable compensation.</li>\n<li>Benefits include:</li>\n<li>Health: Medical, dental, and vision insurance</li>\n<li>Wealth: 401(k) with Roth option and matching contribution, Health Savings Account with matching contribution</li>\n<li>Happiness: Paid time off, paid leave for maternity, paternity, and family care instances</li>\n</ul>","enriched_at":1792850685675}],"category_normalised":[{"category":"product management","count":5},{"category":"engineering","count":5},{"category":"consulting","count":2},{"category":"data science","count":1}],"velocity":{"weeks":[{"week_start":"2026-10-19","count":9},{"week_start":"2026-10-26","count":4}],"trend":"stable","wow_pct":-56},"momentum":{"recent_14d":13,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":156750,"industry_median":null,"percentile":null,"sample_size":12,"by_region":[{"region":"United States","company_median":156750,"industry_median":null,"sample":12}],"transparency_pct":92,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":13,"industry_total":13,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.302,"skill_weighted_score":0.295,"top_exposed_titles":[],"top_exposed_skills":[{"skill":"Product Management","count":4,"score":0.32},{"skill":"Python","count":3,"score":0.288},{"skill":"Kubernetes","count":3,"score":0.288},{"skill":"Databricks","count":3,"score":0.284},{"skill":"Apache Spark","count":3,"score":0.284}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":13,"share_pct":100}],"emerging":[{"region":"United States","recent_30d":13,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":2,"exec_prior_90d_avg":0,"exec_growth_pct":100,"notable_exec_hires":[{"title":"Director, Software Engineering (P4474)","location":"Cincinnati, OH; Chicago, IL","posted_at":"2026-10-24"},{"title":"Director, Product Management, AI Platform, Kroger Precision Marketing (P4644)","location":"Cincinnati, OH; Chicago, IL","posted_at":"2026-10-24"}]},"posting_dynamics":{"median_days_open":null,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":24}}}}