{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/city/cincinnati-oh-chicago"},"x-facet":{"type":"city","slug":"cincinnati-oh-chicago","display":"Cincinnati, Oh; Chicago","count":11},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_475b708b-087"},"title":"Lead Product Manager - APPLIED AI (P4560)","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>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_475b708b-087","directApply":true,"hiringOrganization":{"@type":"Organization","name":"84.51°","sameAs":"https://8451.com","logo":"https://logos.yubhub.co/8451.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/8451/jobs/8631401002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$125,000-$207,000 USD","x-skills-required":["AI/ML","GenAI","product management","stakeholder management","technical liaison"],"x-skills-preferred":[],"datePosted":"2026-10-24T14:23:11.028Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cincinnati, OH; Chicago, IL"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"AI/ML, GenAI, product management, stakeholder management, technical liaison","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":207000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4fb0a470-38b"},"title":"Lead Product Manager - AI Platforms Kroger Precision Marketing (P989)","description":"<p><strong>84.51° Overview</strong></p>\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<p><strong>Role Summary</strong></p>\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<p><strong>Key Responsibilities</strong></p>\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<p><strong>Minimum Qualifications</strong></p>\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<p><strong>Preferred Qualifications</strong></p>\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<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: $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>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4fb0a470-38b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"84.51°","sameAs":"https://8451.com","logo":"https://logos.yubhub.co/8451.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/8451/jobs/8842412002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$125,000-$170,000 USD","x-skills-required":["product management","GenAI product delivery","platform and builder mindset","stakeholder intake and roadmap tradeoffs","technical fluency","communication","leadership","operating judgment"],"x-skills-preferred":["B2B platform","retail analytics","experimentations and measurement","AI evaluation and observability"],"datePosted":"2026-10-24T14:22:22.817Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cincinnati, OH; Chicago, IL"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Other","skills":"product management, GenAI product delivery, platform and builder mindset, stakeholder intake and roadmap tradeoffs, technical fluency, communication, leadership, operating judgment, B2B platform, retail analytics, experimentations and measurement, AI evaluation and observability","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":170000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_61f07160-af7"},"title":"Lead Forward Deployed Engineer (P4570)","description":"<p>Overview</p>\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>Job Summary</p>\n<p>We are seeking a Lead Forward Deployed Engineer (FDE) to join our AI Software Development Lifecycle (SDLC) team and enable evolution of software development using AI tooling across Kroger and 84.51˚.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Exemplify best-practice for software delivery with Agentic Coding tools (such as Claude Code)</li>\n<li>Regularly document and present learnings gleaned from embedded work or experiments to the AI Enablement organization</li>\n<li>Ensure accurate observability of adoption and usage patterns of agentic Coding tools using Datadog, Dynatrace or other related observability tools</li>\n<li>Bridge the gap between Platform offerings and User adoption or usage patterns, discovering and documenting any gaps in capability and experience</li>\n<li>Closely monitor and maintain our internal Plugin Marketplaces or similar to enhance usability of offerings</li>\n<li>Ensure we hit SLAs and lead incident management procedures</li>\n<li>Engage with other technology, infrastructure, and product teams as necessary to complete tasks</li>\n<li>Participate routinely in team on-call rotation and customer support during business hours</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>4-year degree in a technology related discipline (Computer Science, Computer Engineering, Information Systems, etc.) or equivalent work experience</li>\n<li>5+ years of experience producing high-quality software on Agile development teams. (Python and Java preferred)</li>\n<li>5+ years of experience with public cloud technologies (Azure preferred)</li>\n<li>3+ years of experience in Platform Engineering, DevEx, or related roles</li>\n<li>Demonstrable experience working with Coding Agent Harnesses and related tooling in an enterprise setting (Claude Code, Codex, Cursor, etc.)</li>\n<li>Strong interpersonal and communication skills with demonstrated experience leveraging these skills with technical teams and non-technical business units</li>\n<li>Desire to learn new technology and grow across different areas of technology</li>\n<li>Familiarity with AI-related concepts such as LLMs, Agents, Model Context Protocol (MCP)</li>\n</ul>\n<p>Preferred Qualifications</p>\n<ul>\n<li>Strong technical writing, documentation, or functional research skills</li>\n<li>Experience developing AI-powered features or applications</li>\n<li>Experience developing CI/CD workflows or other similar automations contributing to code safety and reliability</li>\n<li>Experience working with IAC systems, eg. Terraform/Spacelift, Kubernetes, Helm, etc.</li>\n<li>Demonstrated ability to prioritize own workload with multiple responsibilities and adaptability to changes in those priorities</li>\n</ul>\n<p>Benefits</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>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_61f07160-af7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"84.51°","sameAs":"https://8451.com","logo":"https://logos.yubhub.co/8451.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/8451/jobs/8760741002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$125,000-$207,000 USD","x-skills-required":["Agentic Coding","Datadog","Dynatrace","Platform Engineering","DevEx","Cloud Technologies","Python","Java","Azure","Kubernetes","Terraform"],"x-skills-preferred":["Technical Writing","AI-powered features","CI/CD workflows","IAC systems"],"datePosted":"2026-10-24T14:21:17.415Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cincinnati, OH; Chicago, IL"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Agentic Coding, Datadog, Dynatrace, Platform Engineering, DevEx, Cloud Technologies, Python, Java, Azure, Kubernetes, Terraform, Technical Writing, AI-powered features, CI/CD workflows, IAC systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":207000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ab1846e5-5b2"},"title":"Lead Data Scientist - Relevancy Sciences (P3764)","description":"<p><strong>Overview</strong></p>\n<p>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.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Provide technical leadership, ownership, and influence across search and recommender systems.</li>\n<li>Define and evolve the science strategy for improving content discovery, relevance, personalization, and decision support across digital experiences.</li>\n<li>Identify high-impact opportunities, make clear technical tradeoffs, and guide the team towards scalable, practical solutions.</li>\n<li>Rapidly prototype and validate new ideas to accelerate adoption and demonstrate measurable value.</li>\n<li>Develop innovative search and recommender systems.</li>\n<li>Design and build ML solutions tailored to the unique needs of the grocery retail domain.</li>\n<li>Lead the development of systems that improve product discovery and personalization across customer journeys.</li>\n<li>Bring strong technical and thought leadership on next-generation personalization, including the use of Generative AI and agent-based approaches.</li>\n<li>Evaluate and improve ML performance.</li>\n<li>Establish rigorous evaluation methodologies to assess the performance of ML systems across key metrics.</li>\n<li>Define robust online evaluation frameworks, and guide experimentation strategies that connect model improvements to customer and business outcomes.</li>\n<li>Model serving and deployment.</li>\n<li>Partner closely with Engineering to build and deploy production-ready ML systems.</li>\n<li>Influence design decisions related to real-time inference, feature access, system integration, monitoring, and reliability.</li>\n<li>Ensure solutions meet latency, scalability, and operational requirements.</li>\n<li>Contribute to the evolution of serving and deployment strategies.</li>\n<li>Cross-functional leadership.</li>\n<li>Work closely with Product, Engineering, and business stakeholders to translate needs into clear problem statements, hypotheses, and execution plans.</li>\n<li>Drive alignment across teams and influence decisions through clear communication of tradeoffs, risks, and expected outcomes.</li>\n<li>Mentoring and knowledge sharing.</li>\n<li>Mentor data scientists and lead technical reviews to improve model quality, experimentation rigor, and systems thinking.</li>\n<li>Promote best practices in reproducibility and evaluation.</li>\n<li>Contribute to building a strong, learning-oriented team culture.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.</li>\n<li>6+ years applied ML with explicit search and/or recommendation systems experience.</li>\n<li>Demonstrated experience designing and building systems at scale , including representation learning, candidate retrieval and ranking with multi-stage pipelines.</li>\n<li>Proficient in Python and SQL, with experience processing large-scale data in distributed environments (e.g., Spark).</li>\n<li>Track record of shipping ML systems that moved business or customer metrics at scale – not just exposure to frameworks or techniques.</li>\n<li>Strong foundation in statistics, experimentation, and data analysis, including design of experiments and A/B testing.</li>\n<li>Hands-on experience building or rigorously evaluating LLM- and agent-based systems (e.g., RAG, agentic workflows, LLM-based evaluation), with clear judgment on where these techniques apply and where they don&#39;t.</li>\n<li>Experience partnering with engineering teams to deploy and maintain machine learning systems in production.</li>\n<li>Understanding of real-time systems, model serving, feature pipelines, and monitoring.</li>\n<li>Ability to make practical tradeoffs between model complexity, performance, latency, and scalability.</li>\n<li>Demonstrated ability to lead technical work across projects and influence direction across data science, engineering, and product teams.</li>\n<li>Experience mentoring or guiding other data scientists and contributing to a strong technical culture.</li>\n<li>Experience working with cloud platforms such as GCP or Azure.</li>\n<li>Experience in retail, e-commerce, or high-scale consumer domains is a plus.</li>\n</ul>\n<p><strong>Why Join Our Team?</strong></p>\n<ul>\n<li>Impact millions of people.</li>\n<li>Continuous learning and development.</li>\n<li>Work on new developments in search and recommender systems.</li>\n</ul>\n<p><strong>Rewards</strong></p>\n<ul>\n<li>Health: Medical, dental, and vision benefits.</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>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ab1846e5-5b2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Relevancy Sciences","sameAs":"https://8451.com","logo":"https://logos.yubhub.co/8451.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/8451/jobs/8618262002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$125,000-$207,000 USD","x-skills-required":["Python","SQL","Spark","Machine Learning","Statistics","Experimentation","Data Analysis","LLM","Agent-based systems","Cloud platforms"],"x-skills-preferred":["Retail","E-commerce","High-scale consumer domains"],"datePosted":"2026-10-24T14:15:01.247Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cincinnati, OH; Chicago, IL"}},"employmentType":"FULL_TIME","occupationalCategory":"Data Science","industry":"Technology","skills":"Python, SQL, Spark, Machine Learning, Statistics, Experimentation, Data Analysis, LLM, Agent-based systems, Cloud platforms, Retail, E-commerce, High-scale consumer domains","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":207000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5980c963-98e"},"title":"Lead AI/ML Engineer (P4656)","description":"<p>We are seeking an experienced Lead AI/ML Engineer to serve as an AI Engineer for our Applied AI team.</p>\n<p>The Applied AI team is a group of data scientists and engineers that drive co-development and integration of AI solutions throughout the Kroger and 84.51 businesses.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Work with business teams to co-develop AI solutions, including AI Agents, for their business</li>\n<li>Mentor and lead work for junior members of the team</li>\n<li>Quickly upskill on stakeholder domains, technologies, and ways of working</li>\n<li>Proactively identify and evaluate business use cases that can be solved with AI</li>\n<li>Design and execute rapid proof of concepts to demonstrate business value and feasibility for specific business problems to gain buy-in</li>\n<li>Democratize learnings from projects across the business via creation of cookbooks, trainings, and informal presentations</li>\n<li>Provide technical guidance for production implementations and troubleshoot integration challenges</li>\n<li>Work cross-functionally with engineering partners and business teams to ensure solutions that are flexible and modular</li>\n<li>Stay up to date on changes in the Generative AI, Agents, and Embeddings spaces</li>\n</ul>\n<p>Qualifications and Experience:</p>\n<ul>\n<li>Advanced degree in Data Science, ML, Computer Science, or related field; 5+ years data science experience with 2+ years in senior role</li>\n<li>Hands-on experience with LLMs, embeddings, and AI Agents in a variety of Agent Harnesses</li>\n<li>Strong understanding of AI Agent Tools, Skills, and Prompting</li>\n<li>Understanding of how to apply Embeddings to different AI projects</li>\n<li>Strong programming in Python</li>\n<li>Exceptional communication skills with ability to explain complex technical concepts to non-technical audiences</li>\n<li>Experience in stakeholder management, technical documentation creation, and cross-functional collaboration</li>\n<li>Strong analytical, problem-solving, and decision-making skills</li>\n<li>High level of independence to develop and own toolkits, pipelines, and dashboards</li>\n<li>Excellent written and verbal communication skills to work with cross-functional teams</li>\n<li>Ability to work in a highly collaborative environment</li>\n<li>Strong ability to quickly adapt to new business problems and technologies</li>\n<li>Desire to lead project work and mentor junior members of the team</li>\n</ul>\n<p>Preferred:</p>\n<ul>\n<li>Experience deploying solutions for quick proof-of-concept work</li>\n<li>Experience building AI Agent Evaluations and Trace</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. In addition to salary, this position is also eligible for variable compensation.</li>\n<li>Below is a list of some of the benefits we offer our associates:</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>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5980c963-98e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"84.51°","sameAs":"https://8451.com","logo":"https://logos.yubhub.co/8451.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/8451/jobs/8750678002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$125,000-$207,000 USD","x-skills-required":["LLMs","embeddings","AI Agents","Python","AI Agent Tools","Skills","Prompting","stakeholder management","technical documentation creation","cross-functional collaboration"],"x-skills-preferred":["Experience deploying solutions for quick proof-of-concept work","Experience building AI Agent Evaluations and Trace"],"datePosted":"2026-10-24T14:13:36.387Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cincinnati, OH; Chicago, IL"}},"employmentType":"FULL_TIME","occupationalCategory":"Data Science","industry":"Technology","skills":"LLMs, embeddings, AI Agents, Python, AI Agent Tools, Skills, Prompting, stakeholder management, technical documentation creation, cross-functional collaboration, Experience deploying solutions for quick proof-of-concept work, Experience building AI Agent Evaluations and Trace","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":207000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d0f8226b-804"},"title":"Director, Software Engineering (P4474)","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>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d0f8226b-804","directApply":true,"hiringOrganization":{"@type":"Organization","name":"84.51°","sameAs":"https://8451.com","logo":"https://logos.yubhub.co/8451.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/8451/jobs/8618229002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$162,000-$262,000 USD","x-skills-required":["cloud-based software architecture","end-to-end SDLC","AIOps/MLOps","large-scale AI/ML systems","GenAI","deep learning methods","production-grade agentic systems","AI/ML frameworks and tooling","PyTorch","OpenAI SDK","LangChain","autogen","MLflow","Model Registry","Model Monitoring","Microsoft Azure","Google Cloud","Kubernetes","Helm","Python","Terraform"],"x-skills-preferred":[],"datePosted":"2026-10-24T14:12:05.045Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cincinnati, OH; Chicago, IL"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"cloud-based software architecture, end-to-end SDLC, AIOps/MLOps, large-scale AI/ML systems, GenAI, deep learning methods, production-grade agentic systems, AI/ML frameworks and tooling, PyTorch, OpenAI SDK, LangChain, autogen, MLflow, Model Registry, Model Monitoring, Microsoft Azure, Google Cloud, Kubernetes, Helm, Python, Terraform","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":162000,"maxValue":262000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_90db61b8-ced"},"title":"Director, Product Management, AI Platform, Kroger Precision Marketing (P4644)","description":"<p><strong>Job Summary</strong></p>\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<p><strong>Key Responsibilities</strong></p>\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<p><strong>Minimum Qualifications</strong></p>\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<p><strong>Preferred Qualifications</strong></p>\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<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</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>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_90db61b8-ced","directApply":true,"hiringOrganization":{"@type":"Organization","name":"84.51°","sameAs":"https://8451.com","logo":"https://logos.yubhub.co/8451.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/8451/jobs/8614134002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$162,000-$262,200 USD","x-skills-required":["AI/ML product development","GenAI","retrieval-augmented generation (RAG)","model context protocol (MCP)","agent patterns and skills","data readiness","model development","evaluation","deployment","monitoring","governance","responsible AI practices"],"x-skills-preferred":["B2B software experience","retail analytics","retail media","adtech","data-driven marketing platforms"],"datePosted":"2026-10-24T14:11:21.650Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cincinnati, OH; Chicago, IL"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"AI/ML product development, GenAI, retrieval-augmented generation (RAG), model context protocol (MCP), agent patterns and skills, data readiness, model development, evaluation, deployment, monitoring, governance, responsible AI practices, B2B software experience, retail analytics, retail media, adtech, data-driven marketing platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":162000,"maxValue":262200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a4c14c75-1c2"},"title":"Solution Architect (P4643)","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>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a4c14c75-1c2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"84.51°","sameAs":"https://8451.com","logo":"https://logos.yubhub.co/8451.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/8451/jobs/8733073002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$162,000-$262,200 USD","x-skills-required":["Software engineering","Data engineering","Platform engineering","Solution architecture","Cloud platforms","Data platforms","APIs","AI and machine learning","Microservices","Event-driven architecture","Domain-driven design","Evolutionary architecture","CI/CD","Automated testing","Monitoring","Logging","Production support","Databricks","Snowflake","Delta Lake","Azure Data Lake Storage","Spark","MLOps","LLM application patterns","Managed AI services","REST","GraphQL","Event-based APIs","Asynchronous APIs","API gateways","OAuth","OIDC","OpenAPI specifications","Rate limiting","Versioning","Service-to-service authentication","Governance","Security","Observability","RBAC","Lineage","Audit logging","Cost attribution","Data access controls","Platform monitoring"],"x-skills-preferred":[],"datePosted":"2026-10-24T14:04:45.675Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cincinnati, OH; Chicago, IL"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering, Data engineering, Platform engineering, Solution architecture, Cloud platforms, Data platforms, APIs, AI and machine learning, Microservices, Event-driven architecture, Domain-driven design, Evolutionary architecture, CI/CD, Automated testing, Monitoring, Logging, Production support, Databricks, Snowflake, Delta Lake, Azure Data Lake Storage, Spark, MLOps, LLM application patterns, Managed AI services, REST, GraphQL, Event-based APIs, Asynchronous APIs, API gateways, OAuth, OIDC, OpenAPI specifications, Rate limiting, Versioning, Service-to-service authentication, Governance, Security, Observability, RBAC, Lineage, Audit logging, Cost attribution, Data access controls, Platform monitoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":162000,"maxValue":262200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_543785ec-602"},"title":"Lead Software Engineer, AI (P4577)","description":"<p><strong>Overview</strong></p>\n<p>We are seeking a Lead Software Engineer to join our AI Software Development Lifecycle (SDLC) team and build the engineering backbone that scales AI-assisted development across 84.51° and Kroger.</p>\n<p><strong>Summary</strong></p>\n<p>As AI workforce tooling matures and adoption grows from pilot teams to dozens of delivery teams, this role provides the systems and patterns that keep pace: deployment automation, standardized templates, and a prompt and skill marketplace that makes best practices discoverable and reusable at scale.</p>\n<p>This team is charged with re-inventing Software Developer for 84.51º and Kroger with AI at the forefront. This role provides an opportunity to shape how thousands of developers adopt AI within a large enterprise. Success means turning repeatable friction into platform infrastructure: authoring workflows, creating templates, and contributing plugins to internal marketplaces to shorten onramps and increase AI-assisted development velocity.</p>\n<p>This role spans the spectrum from hands-on automation engineering to cross-team enablement and requires someone who can both build systems and communicate their value across technical and non-technical audiences.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and build deployment automation for AI workforce tooling , including Agentic Harness configurations, MCP server or similar service-level integrations, and related CI/CD pipelines</li>\n<li>Define and enforce standards for AI tooling configuration, security posture, and observability across teams – often via direct enhancements to the coding harness hook and plugin layers</li>\n<li>Ensure accurate observability of AI tooling adoption and usage patterns using Datadog, Dynatrace, or related tools</li>\n<li>Own and evolve the internal prompt and skill marketplace , enabling teams to publish, discover, version, and reuse prompts, skills, and MCP tools across the enterprise</li>\n<li>Develop workflow playbooks that codify AI-SDLC integration patterns for consistent, repeatable adoption across engineering teams</li>\n<li>Work directly with delivery teams to embed AI tooling into their development workflows, translating friction and capability gaps into scalable platform improvements</li>\n<li>Regularly document and present learnings from platform work and team engagements to the broader AI Enablement organization</li>\n<li>Engage with technology, infrastructure, and product teams as necessary to integrate and extend AI workforce tooling</li>\n<li>Participate routinely in team on-call rotation and customer support during business hours</li>\n</ul>\n<p><strong>Minimum Qualifications, Skills, and Experience</strong></p>\n<ul>\n<li>4-year degree in a technology related discipline (Computer Science, Computer Engineering, Information Systems, etc.) or equivalent work experience</li>\n<li>Minimum 5+ years of experience producing high-quality software on Agile development teams (Python preferred)</li>\n<li>5+ years of experience with public cloud technologies (Azure preferred)</li>\n<li>3+ years of experience in Platform Engineering, DevEx, or related roles</li>\n<li>Demonstrated experience building or operating CI/CD pipelines and deployment automation (GitHub Actions or equivalent)</li>\n<li>Familiarity with AI-related concepts such as LLMs, Agents, and Model Context Protocol (MCP)</li>\n<li>Strong experience with AI coding tools like Claude Code, Codex, Cursor or equivalent.</li>\n<li>Strong interpersonal and communication skills with demonstrated experience working across technical teams and non-technical business units</li>\n<li>Desire to learn new technology and grow across different areas of technology</li>\n</ul>\n<p><strong>Preferred Qualifications, Skills, and Experience</strong></p>\n<ul>\n<li>Experience building or operating internal developer platforms, marketplaces, or catalog systems</li>\n<li>Experience developing agentic AI applications, prompt libraries, skill registries, or MCP servers</li>\n<li>Experience working with IaC systems, e.g. Terraform/Spacelift, Kubernetes, Helm</li>\n<li>Strong technical writing, documentation, or playbook-authoring skills</li>\n<li>Demonstrated ability to prioritize own workload with multiple responsibilities and adaptability to changes in those priorities</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.</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: 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>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_543785ec-602","directApply":true,"hiringOrganization":{"@type":"Organization","name":"84.51°","sameAs":"https://8451.com","logo":"https://logos.yubhub.co/8451.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/8451/jobs/8725891002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$125,000-$207,000 USD","x-skills-required":["Agentic Harness","CI/CD pipelines","Datadog","Dynatrace","GitHub Actions","LLMs","MCP","Python","Azure","Platform Engineering","DevEx"],"x-skills-preferred":["IaC systems","Terraform/Spacelift","Kubernetes","Helm","technical writing","documentation","playbook-authoring"],"datePosted":"2026-10-24T14:02:15.455Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cincinnati, OH; Chicago, IL"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Agentic Harness, CI/CD pipelines, Datadog, Dynatrace, GitHub Actions, LLMs, MCP, Python, Azure, Platform Engineering, DevEx, IaC systems, Terraform/Spacelift, Kubernetes, Helm, technical writing, documentation, playbook-authoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":207000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4fc80fee-eff"},"title":"Lead Product Manager- Salesforce Platform (P765)","description":"<p><strong>Overview</strong></p>\n<p>The Lead Product Manager- Salesforce Platform (P765) role at 84.51° enables how KPM products are brought to market, sold, contracted, activated, monetized, and scaled through connected seller experiences and Salesforce-powered commercial capabilities.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Salesforce Platform Product Definition &amp; Business Analysis</strong></p>\n<ul>\n<li>Lead discovery across business and technology teams to define platform problems, desired outcomes, user needs, and enterprise impacts.</li>\n<li>Translate demand into well-defined Salesforce capabilities, business rules, process flows, data requirements, security considerations, dependencies, assumptions, and testable acceptance criteria.</li>\n<li>Evaluate whether needs should be addressed through standard Salesforce functionality, configuration, automation, integration, or targeted customization.</li>\n<li>Assess impacts across the Salesforce data model, integrations, identity and access, reporting, environments, and dependent platforms before work enters delivery.</li>\n<li>Partner with architecture, engineering, design, and quality teams to resolve tradeoffs and maintain shared understanding from discovery through release.</li>\n</ul>\n<p><strong>Salesforce Platform Strategy &amp; Roadmap</strong></p>\n<ul>\n<li>Own the vision, strategy, roadmap, and backlog for KPM’s Salesforce platform and its connected enterprise capabilities.</li>\n<li>Prioritize investments based on business value, platform health, architectural alignment, risk reduction, reuse, scalability, commercial growth opportunities, and organizational needs.</li>\n<li>Define measurable outcomes and use platform telemetry, adoption insights, delivery performance, and stakeholder feedback to guide roadmap decisions.</li>\n</ul>\n<p><strong>Salesforce Product Leadership</strong></p>\n<ul>\n<li>Serve as product owner for KPM’s Salesforce ecosystem, including Media Cloud and the shared account, opportunity, product, pricing, contracting, workflow, and reporting capabilities delivered through the platform.</li>\n<li>Establish platform product principles and governance for configuration, customization, automation, data, integrations, security, environments, and release management.</li>\n<li>Partner with business and technology teams to evolve CRM operating models, platform capabilities, and user experiences.</li>\n<li>Partner with architecture and engineering to manage technical debt, platform limits, upgrade impacts, nonfunctional requirements, and long-term maintainability.</li>\n<li>Drive Salesforce modernization, lifecycle planning, adoption, and optimization to improve platform reliability, usability, scalability, and business value.</li>\n</ul>\n<p><strong>Product Commercialization</strong></p>\n<ul>\n<li>Lead product strategy for lead-to-revenue processes, product commercialization, commercial approval workflows, and contract lifecycle management capabilities.</li>\n<li>Design connected seller experiences that simplify how teams manage accounts, opportunities, products, pricing, and customer interactions.</li>\n<li>Identify opportunities to improve operational efficiency through standardization, automation, and workflow transformation.</li>\n</ul>\n<p><strong>AI &amp; Automation</strong></p>\n<ul>\n<li>Define a responsible Salesforce AI and automation strategy using Agentforce, Einstein, Flow, and related capabilities where they create measurable value.</li>\n<li>Ensure intelligent capabilities are supported by appropriate data readiness, security, governance, human oversight, reuse, and lifecycle ownership.</li>\n</ul>\n<p><strong>Platform Governance, Adoption &amp; Delivery</strong></p>\n<ul>\n<li>Build trusted partnerships across business product teams, enterprise architecture, data, security, engineering, operations, and platform administration.</li>\n<li>Establish transparent intake, prioritization, decision, and governance practices that align demand to platform strategy and delivery capacity.</li>\n<li>Coordinate release readiness, dependency management, change impacts, adoption planning, and outcome measurement across Salesforce initiatives.</li>\n<li>Maintain product-definition quality through delivery by resolving requirement gaps, clarifying intent, validating acceptance criteria, and confirming that released capabilities achieve intended outcomes without compromising platform integrity.</li>\n</ul>\n<p><strong>Qualifications, Skills, and Experience</strong></p>\n<ul>\n<li>4-6 years of relevant experience in product management, product ownership, sales technology, revenue operations, or a related discipline.</li>\n<li>Demonstrated experience leading product strategy, roadmaps, prioritization, end-to-end product development, and releases for complex business capabilities.</li>\n<li>Experience supporting commercial, sales, account management, CRM, lead-to-revenue, or go-to-market processes.</li>\n<li>Skilled in managing cross-functional software development teams in an agile environment.</li>\n<li>Skilled in balancing business priorities, design and user needs, technical feasibility, and product roadmap commitments.</li>\n<li>Experienced in building and managing stakeholder relationships to influence decisions and drive change.</li>\n<li>Strong problem-solving, critical-thinking, analytical, planning, organizational, and time-management skills.</li>\n<li>Ability to translate effectively between business and technical audiences through strong verbal and written communication.</li>\n<li>Technical acumen sufficient to grasp platform, data, integration, and architecture details and lead a product team or program.</li>\n<li>Comfort with ambiguity and the ability to remain confident, positive, and resourceful when navigating unexpected results or setbacks.</li>\n<li>Demonstrated qualities of a collaborative and effective teammate.</li>\n<li>Demonstrated ability to lead structured product discovery and translate complex or ambiguous business needs into clear, actionable, and testable product requirements.</li>\n<li>Experience defining business rules, process flows, data requirements, dependencies, acceptance criteria, and nonfunctional considerations for complex enterprise capabilities.</li>\n<li>Ability to evaluate Salesforce solution implications and engage credibly with architects and engineers on configuration, data models, integrations, security, automation, and platform constraints.</li>\n<li>Strong judgment in determining when a request is sufficiently defined for delivery and when further discovery, validation, or technical assessment is required.</li>\n<li>Bachelor&#39;s degree or equivalent experience.</li>\n</ul>\n<p><strong>Required Salesforce &amp; Product-Definition Expertise</strong></p>\n<ul>\n<li>Demonstrated experience defining product strategy and roadmaps for Salesforce-enabled commercial capabilities.</li>\n<li>Hands-on or product leadership experience with Salesforce Sales Cloud, Media Cloud, Revenue Cloud, Marketing Cloud, contract lifecycle management integrations, or related commercial technologies.</li>\n<li>Deep understanding of Salesforce CRM operating models, account and opportunity management, workflow automation, security concepts, data quality, reporting, integrations, release practices, and adoption strategies.</li>\n<li>Experience leading Salesforce transformation, modernization, implementation, or optimization initiatives in a complex enterprise environment.</li>\n<li>Experience with Agentforce, Einstein capabilities, or intelligent AI seller enablement solutions.</li>\n<li>Experience with commercial workflows such as product commercialization, pricing, quoting, approvals, upfront commitments, contracting, or revenue operations.</li>\n<li>Salesforce certifications such as Administrator, Advanced Administrator, Business Analyst, Platform App Builder, Sales Cloud Consultant, or other relevant credentials are not necessary but are beneficial.</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>Below is a list of some of the benefits we offer our associates:</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>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4fc80fee-eff","directApply":true,"hiringOrganization":{"@type":"Organization","name":"84.51°","sameAs":"https://8451.com","logo":"https://logos.yubhub.co/8451.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/8451/jobs/8894860002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$125,000-$170,000 USD","x-skills-required":["Salesforce","Product Management","CRM","Data Analysis","Technical Acumen","Communication","Problem-Solving","Critical Thinking","Analytical Skills","Planning","Organizational Skills","Time Management","Collaboration","Influencing","Change Management","Business Strategy","Roadmap Planning","Prioritization","Product Development","Release Management","Governance","Adoption Strategies","AI","Automation","Einstein","Agentforce","Flow"],"x-skills-preferred":[],"datePosted":"2026-10-24T14:01:18.912Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cincinnati, OH; Chicago, IL"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"Salesforce, Product Management, CRM, Data Analysis, Technical Acumen, Communication, Problem-Solving, Critical Thinking, Analytical Skills, Planning, Organizational Skills, Time Management, Collaboration, Influencing, Change Management, Business Strategy, Roadmap Planning, Prioritization, Product Development, Release Management, Governance, Adoption Strategies, AI, Automation, Einstein, Agentforce, Flow","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":170000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c0a30111-d90"},"title":"Client Success Manager - Activation (P2733)","description":"<p>The Client Success Manager - Activation will support the execution of media campaigns across multiple verticals. This role is responsible for learning key aspects of campaign activation, completing core tasks, and contributing to team initiatives that support campaign setup, launch, optimization, and delivery across onsite, offsite, and in-store channels.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Support the execution of media campaigns across various verticals</li>\n<li>Assist with campaign setup, trafficking, QA, and launch readiness to help ensure accuracy, timeliness, and compliance</li>\n<li>Translate client briefs and campaign inputs into executional requirements with guidance from team members and partners</li>\n<li>Monitor campaign pacing and performance and escalate risks, issues, or optimization opportunities as needed</li>\n<li>Support the development of campaign reporting, performance recaps, and other materials used in internal and client discussions</li>\n<li>Learn and apply category-specific requirements, including relevant compliance considerations for regulated industries such as Pharma and Alcohol</li>\n<li>Contribute to campaign execution across onsite, offsite, and in-store media channels in coordination with internal teams</li>\n<li>Partner with Client Partnerships Executives, Sales, Campaign Operations, Creative, Product, and other cross-functional teams to support campaign delivery</li>\n<li>Assist with client onboarding, platform access, billing, invoicing, and other activation-related support activities</li>\n<li>Maintain accuracy and organization across assigned campaigns and day-to-day tasks</li>\n<li>Identify questions, issues, and process improvement opportunities and raise them to the appropriate team members</li>\n<li>Learn and apply 84.51° tools, processes, products, and ways of working in support of campaign execution</li>\n</ul>\n<p>Qualifications, Skills, and Experience:</p>\n<ul>\n<li>Bachelor’s degree required or equivalent practical experience</li>\n<li>0–3 years of relevant experience in digital media activation, campaign management, ad operations, retail media, or a related field</li>\n<li>Foundational understanding of digital media, campaign execution, or advertising operations</li>\n<li>Strong attention to detail and organizational skills</li>\n<li>Ability to manage multiple tasks and priorities in a fast-paced team environment</li>\n<li>Strong written and verbal communication skills</li>\n<li>Foundational analytical and problem-solving skills with the ability to interpret campaign performance data with guidance</li>\n<li>Ability to work collaboratively with cross-functional partners</li>\n<li>Proficiency in Microsoft Office, including Excel and PowerPoint</li>\n<li>Familiarity with onsite media, programmatic media, retail media, or regulated categories such as Pharma or Alcohol is a plus</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c0a30111-d90","directApply":true,"hiringOrganization":{"@type":"Organization","name":"84.51°","sameAs":"https://8451.com","logo":"https://logos.yubhub.co/8451.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/8451/jobs/8908726002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$65,000-$80,000 USD","x-skills-required":["Microsoft Office","Excel","PowerPoint","digital media","campaign execution","advertising operations","analytical skills","problem-solving skills","communication skills"],"x-skills-preferred":["onsite media","programmatic media","retail media","Pharma","Alcohol"],"datePosted":"2026-10-24T13:59:44.845Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cincinnati, OH; Chicago, IL"}},"employmentType":"FULL_TIME","occupationalCategory":"Consulting","industry":"Consulting","skills":"Microsoft Office, Excel, PowerPoint, digital media, campaign execution, advertising operations, analytical skills, problem-solving skills, communication skills, onsite media, programmatic media, retail media, Pharma, Alcohol","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":65000,"maxValue":80000,"unitText":"YEAR"}}}]}