- Страна
- США
- Зарплата
- 121 000 $ – 201 250 $
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Lead Technical Product Manager - Agent Platform (P4476)
Отличная позиция в технологически продвинутой компании с доступом к уникальным данным. Высокий уровень компенсации, сильный социальный пакет и возможность стоять у истоков создания ИИ-платформы для гиганта ритейла.
Сложность вакансии
Роль требует глубокого понимания современных ИИ-технологий (агенты, MCP, LLM) и опыта управления сложными платформенными продуктами в корпоративной среде. Высокая планка ожиданий к лидерским качествам и способности работать в условиях неопределенности.
Анализ зарплаты
Предложенный диапазон ($121k - $201k) полностью соответствует рыночным стандартам для позиции Lead Product Manager в сфере AI/ML в США. Верхняя граница диапазона является весьма конкурентной для рынков Цинциннати и Чикаго.
Сопроводительное письмо
I am writing to express my strong interest in the Lead Technical Product Manager position for the Agent Platform team at 84.51°. With a solid background in managing enterprise-grade AI and data platforms, I am excited by the opportunity to architect the agentic foundation that will power Kroger’s next generation of customer-centric experiences. My experience in navigating ambiguous environments and translating complex technical requirements into actionable roadmaps aligns perfectly with your team's mission to reduce time-to-value and ensure safe, compliant AI use.
Throughout my career, I have successfully led cross-functional teams of engineers and data scientists to deliver high-impact software products. I am particularly impressed by 84.51°'s commitment to utilizing first-party retail data to drive innovation. I am confident that my technical acumen in LLM orchestration, agent registries, and evaluation frameworks, combined with my focus on developer experience, will allow me to make immediate contributions to the Agentic Foundations leadership team.
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Описание вакансии
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°!
________________________________________________________
Lead Technical Product Manager – Agent Platform
LOCATION: Cincinnati / Chicago(P4476)
SUMMARY:
The AI Enablement team at 84.51° is seeking a Lead Product Manager for its Agent Platform team. This team is responsible for architecting, implementing, maintaining, and supporting the use of the agentic foundation of the Kroger enterprise.
The Lead Product Manager will discover, prioritize, plan the implementation of the agent platform – this could include: a control layer consisting of agent, MCP, eval, and prompt registries; evaluation and monitoring tools; and pro-code, low-code, and no-code development capabilities. The role will partner closely with engineering and data science leads to shape the roadmap, translate business and technical needs into clear requirements, and ensure the delivery of high-value, enterprise-grade capabilities that reduce time-to-value, improve quality and reliability, and promote safe, compliant use of agentic systems.
RESPONSIBILITIES:
- Own product discovery and roadmap for the managed agent platform
- Maintain a current roadmap and communicate trade-offs, dependencies, and timelines to stakeholders and delivery teams
- Translate business goals, user needs, and technical constraints into product requirements and acceptance criteria with a clear definition of done
- Partner with the Agentic Foundations leadership, as well as engineering and data science leads, to plan quarters/cycles/sprints and ensure efficient, predictable delivery
- Define and evolve core agentic platform capabilities, including:
- Registries (agent/MCP/scorer/prompt), templates, and pattern libraries
- Agent development and monitoring tools, including evaluation frameworks and observability
- Integration with data and API layers and pro-code agent frameworks
- Integration with enterprise AIOps/MLOps, CI/CD, and governance workflows
- Facilitate user research and testing to understand developer and business user workflows; validate usability, safety, reliability, and performance
- Analyze product usage and operational data to inform prioritization, measure value, and guide iteration
- Drive adoption across customer teams through documentation, enablement, demos, and feedback loops; remove friction points and champion best practice
- Ensure alignment with enterprise strategies for scale, reliability, safety, compliance, and cost-efficiency
- Manage progress toward objectives; proactively surface risks, blocks, and cross-team dependencies; coordinate mitigation plans
- Develop strong internal and external stakeholder relationships; influence and drive change in ambiguous, evolving environments
- Communicate realized value and outcomes, including usage, adoption, productivity improvements, and risk reduction
QUALIFICATIONS, SKILLS, AND EXPERIENCE:
- Professional experience in leading enterprise AI, ML, or data platforms
- Professional experience in a product/software development team
- Professional experience in managing technical and business stakeholders
- Professional experience in ambiguous environments
- Skilled in a general technical acumen, able to efficiently converse with software engineers and AI engineers and understand their development processes
- Skilled in managing cross-functional technical development teams in an agile environment
- Skilled in managing business priorities against design/user needs while delivering against product roadmaps
- Skilled in managing end-to-end software product development
- Skilled in problem solving, analytic thinking, and creativity
- Skilled in planning, organization, and verbal/written business communication
- Skilled in maintaining a positive leader persona in ambiguous and changing environments
- Skilled in quickly flexing between technical and business stakeholder conversations, adapting to a variety of audiences
- Demonstrated excellence as a teammate and leader
- 4-6 years relevant experience
- Education: Bachelor’s degree or higher in Software Engineering, Computer Science, Machine Learning, or a related field
#LI-SSS
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.
Pay Range
$121,000—$201,250 USD
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Навыки
- Product Management
- Artificial Intelligence
- Machine Learning
- Agile
- Roadmapping
- Software Development
- Data Science
- LLM
- AIOps
- MLOps
- CI/CD
- API
Возможные вопросы на собеседовании
Проверка понимания специфики продукта и технических компонентов платформы.
Как бы вы подошли к приоритизации функций между 'pro-code' инструментами для инженеров и 'no-code' решениями для бизнес-пользователей в рамках платформы агентов?
Оценка опыта в области безопасности и надежности ИИ.
Какие метрики и фреймворки оценки (evaluation frameworks) вы считаете критически важными для обеспечения безопасного и надежного использования агентных систем в масштабах предприятия?
Проверка навыков управления стейкхолдерами в сложной структуре.
Опишите случай, когда вам приходилось убеждать технических лидеров (Data Science или Engineering) изменить направление развития продукта из-за бизнес-ограничений. Как вы достигли консенсуса?
Оценка продуктового мышления в области инфраструктуры.
Как вы планируете измерять 'time-to-value' для разработчиков, использующих вашу платформу, и какие шаги предпримете для устранения трения в их рабочих процессах?
Проверка способности работать в быстро меняющейся среде ИИ.
Технологии ИИ-агентов развиваются стремительно. Как вы балансируете между внедрением новейших инструментов (например, новых протоколов типа MCP) и поддержанием стабильности корпоративной платформы?
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- Страна
- США
- Зарплата
- 121 000 $ – 201 250 $