84.51° Overview:
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.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.
Join us at 84.51°!
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The AI Enablement team builds foundational AI capabilities that transform Kroger and 84.51°. The AI SDLC Team focuses on evolving how software is built across the enterprise by leveraging AI-powered development tools, frameworks, and best practices.
As the Lead Product Manager, you will own the product strategy and execution for AI-powered software development tools and SDLC transformation. You will work closely with business stakeholders, software engineers, data scientists, and cross-functional teams to understand their needs, enable teams with reusable tools and patterns, and drive the evolution of the enterprise SDLC through AI.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United Stated and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Responsibilities- Own and drive the product roadmap, backlog prioritization, and value delivery for AI-powered SDLC tooling and strategy.
- Partner with business stakeholders, engineers, and data scientists to identify opportunities to improve the SDLC using AI.
- Translate business needs and developer workflows into product requirements, epics, and user stories.
- Define and deliver scalable tools, frameworks, and repeatable patterns that enable teams to adopt AI in their development workflows.
- Work closely with engineering, UX, and data science teams to deliver high-quality, impactful solutions.
- Manage multiple backlogs and priorities across cross-functional teams in an agile environment.
- Define success metrics and measure adoption, value realization, and efficiency improvements across the SDLC.
- Communicate product strategy, progress, risks, and outcomes to stakeholders at all levels.
- Drive continuous discovery through stakeholder interviews, research, and analysis of user workflows.
- Ensure alignment with governance, security, and responsible AI practices.
- Professional work experience in artificial intelligence or generative AI applications.
- Experience managing or developing products or tooling for software developers and/or data scientists.
- Experience working across the full Software Development Lifecycle (SDLC) as a Product Manager or Software Engineer.
- Strong technical acumen – ability to engage with engineering teams, understand technical tradeoffs, and influence decisions.
- Experience in Agile product development and managing cross-functional teams.
- Experience managing product roadmaps, prioritization, and end-to-end product delivery.
- Stakeholder management skills – ability to influence and align across multiple levels of the organization.
- Experience using coding agents (e.g., Claude Code, GitHub Copilot, Codex, Gemini CLI).
- Experience developing or using MCP servers.
- Experience creating or using Agent Skills and Agent Plugin Marketplaces.
- Experience leveraging generative AI chat tools (e.g., M365 Copilot, ChatGPT, Gemini, Claude).
- Prior experience as a Software Engineer or Technical Product Manager.
- Strong problem-solving, analytical, and critical thinking skills.
- Strong communication skills with the ability to translate between business and technical audiences.
- Comfort navigating ambiguity and driving clarity in evolving problem spaces.
- Planning, organizational, and time management skills.
- 4–6 years relevant experience.
- Bachelor’s degree or equivalent experience.
#LI-EB1
Pay Transparency and Benefits
- 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.
- Below is a list of some of the benefits we offer our associates:
- 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.
- Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
- 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.
Skills Required
- Professional work experience in artificial intelligence or generative AI applications.
- Experience managing or developing products or tooling for software developers and/or data scientists.
- Experience working across the full Software Development Lifecycle (SDLC) as a Product Manager or Software Engineer.
- Strong technical acumen and ability to engage with engineering teams and influence technical decisions.
- Experience in Agile product development and managing cross-functional teams.
- Experience managing product roadmaps, prioritization, and end-to-end product delivery.
- Stakeholder management skills with ability to influence and align across multiple organizational levels.
- Experience using coding agents (e.g., Claude Code, GitHub Copilot, Codex, Gemini CLI).
- Experience developing or using MCP servers.
- Experience creating or using Agent Skills and Agent Plugin Marketplaces.
- Experience leveraging generative AI chat tools (e.g., M365 Copilot, ChatGPT, Gemini, Claude).
- Prior experience as a Software Engineer or Technical Product Manager.
- Strong problem-solving, analytical, and critical thinking skills.
- Strong communication skills to translate between business and technical audiences.
- Comfort navigating ambiguity and driving clarity in evolving problem spaces.
- Planning, organizational, and time management skills.
- 4-6 years relevant experience.
- Bachelor's degree or equivalent experience.
- Work authorization in the U.S. that does not require sponsorship now or in the future.
84.51° Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about 84.51° and has not been reviewed or approved by 84.51°.
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Leave & Time Off Breadth — Time off is described as generous from day one, with substantial vacation alongside wellness/floating days and company holidays. This breadth of leave is treated as a standout element of the package.
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Retirement Support — The package includes a 401(k) with a matching contribution and an HSA match for eligible plans. These features are positioned as solid components that enhance overall compensation value.
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Parental & Family Support — Paid parental leave covers birth and adoption with support for both birthing and non‑birthing parents. This complements core health coverage and reinforces a family‑friendly offering.
84.51° Insights
What We Do
At 84.51° we use sophisticated tools, technology and data analytics to help retail partners develop, nurture and embrace customer-driven relationships. 84.51° is a retail data science, insights and media company. We help the Kroger company, consumer packaged goods companies, agencies, publishers and affiliated partners create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting edge science, we leverage 1st party retail data from nearly 1 of 2 US households and 2BN+ transactions to fuel a more customer-centric journey utilizing 84.51° Insights, 84.51° Loyalty Marketing and our retail advertising solution, Kroger Precision Marketing.
