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8451
Страна
США
Зарплата
121 000 $ – 201 250 $
+500% приглашений

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Ускорим процесс поиска работы
LeadВ офисеПолная занятость

Lead Product Manager- Data Platforms (P2507)

Оценка ИИ

Сильная позиция в известной дата-сайнс компании с прозрачной вилкой зарплаты и отличным соцпакетом (5 недель отпуска). Однако требование 5-дневной офисной работы может быть минусом для некоторых кандидатов.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубокого понимания технических аспектов перемещения данных (асинхронность, задержки, контракты данных) и умения управлять сложными стейкхолдерами в крупной корпоративной структуре. Высокая планка ответственности за стратегию масштабируемой платформы.

Анализ зарплаты

Медиана165 000 $
Рынок140 000 $ – 210 000 $
Оценка ИИ

Предложенный диапазон ($121k - $201k) полностью соответствует рыночным стандартам для позиции Lead Product Manager в США, особенно в секторе Data/Platform. Верхняя граница диапазона выше медианы, что делает предложение конкурентоспособным для опытных специалистов.

Сопроводительное письмо

I am writing to express my strong interest in the Lead Product Manager position for the Data Platforms team at 84.51°. With a solid background in managing enterprise-level data platform capabilities and a proven track record of leading technical development teams in agile environments, I am confident in my ability to drive the strategy for your Asynchronous File Movement product space. My experience in balancing technical tradeoffs—such as scalability, reliability, and FinOps—aligns perfectly with your goal of delivering measurable value across the Kroger enterprise.

Throughout my career, I have focused on defining the right problems and validating solutions with users to ensure long-term strategic impact. I am particularly drawn to this role because of the scale of 84.51°'s data ecosystem, moving hundreds of thousands of files monthly. I am eager to bring my skills in cross-functional leadership and product vision to help maintain a robust 12-month roadmap and foster a culture of excellence within your data program.

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Присоединяйтесь к команде 84.51° и возглавьте стратегию перемещения данных для одной из крупнейших ритейл-экосистем в США!

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°!

________________________________________________________

The Data Platform team at 84.51° and Kroger is seeking a Lead Product Manager for Asynchronous File Movement product space. This role will lead the file movement strategy, aligning capabilities governing enterprise‑wide data movement that collectively moves hundreds of thousands of files each month across our data ecosystems at 84.51˚ and Kroger.

The Lead Product Manager will own outcomes (not outputs) by defining the right problems, validating solutions with users, and delivering measurable value—balancing time‑to‑value, cost, reliability, security, compliance, and long‑term strategic impact to ensure product direction aligns with business priorities and cross‑organizational goals.

RESPONSIBILITIES:

  • Shape long‑term product vision, connecting platform capabilities to broader business objectives while ensuring alignment across user needs and strategy is understood, supported, and executable.
  • Maintains a 12-month delivery roadmap that clearly articulates how the work progresses strategic outcomes and integrates business priorities, user research/needs, and cross functional dependencies.
  • Translate business goals, user needs, and technical constraints into product requirements and acceptance criteria with clear definitions of done and crisp functional & nonfunctional requirements.
  • Partner with the Data Program leadership, as well as engineering and data science leads, to plan quarters/cycles/sprints and ensure efficient, predictable delivery.
  • Own, define, and evolve core data platform file movement capabilities, including:

+ Fast, asynchronous data movement with smooth ingestion, built in observability and data quality checks.

+ Asynchronous and self-service file movement in and out of our four walls, between applications, data platforms, and cloud tenants across the 84.51˚ and Kroger enterprise.

  • Monitors leading and lagging indicators for product health: adoption/activation/engagement, reliability & operability.
  • Tracks user sentiment via industry standard metrics (such as SUS or NPS); using insights to influence product strategy, vision, and priorities.
  • Maintain a customer panel and map key stakeholders (architecture, governance, security/privacy, finance, operations, vendors).
  • Build and maintain a strong cross functional communication plan ensuring alignment between users, Kroger, 84.51°, vendors, and adjacent product teams.
  • Maintain core product artifacts such as vision one‑pager; strategy brief; metrics tree/OKRs, operational readiness checklist (monitoring, alerts, runbooks, support model), etc.
  • Analyze product usage and operational data to inform prioritization, measure value, and guide iteration
  • Drive adoption across internal teams through documentation, enablement, demos, and feedback loops; remove friction points and champion best practice.

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).

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

  • Professional experience leading product strategy for internal, enterprise-level data platform capabilities.
  • Professional experience managing highly technical development teams in an agile environment.
  • Professional experience aligning and influencing cross-functional teams across organizational boundaries to ensure seamless execution beyond your immediate scrum team.
  • Capable of evangelizing product purpose, strategic impact, and customer value with executive-ready narratives; user enablement; visible decision records, etc.
  • Skilled in managing technical tradeoffs (scale, reliability, latency, data contracts, data quality, isolation, and FinOps/cost requirements) against long term plan and strategy.
  • General technical acumen, able to efficiently converse with software engineers, data engineers, and, data scientists to understand their development processes.
  • 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 or equivalent professional 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.

Pay Range

$121,000—$201,250 USD

+400% к собеседованиям

Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Product Strategy
  • Agile
  • Data Platform
  • Data Engineering
  • FinOps
  • Roadmapping
  • Stakeholder Management
  • Data Quality
  • Observability

Возможные вопросы на собеседовании

Проверка опыта работы с высоконагруженными системами и понимания специфики продукта.

Как бы вы приоритизировали требования к надежности и стоимости (FinOps) при проектировании системы, перемещающей сотни тысяч файлов в месяц?

Оценка навыков управления стейкхолдерами в сложной среде (Kroger + 84.51°).

Опишите случай, когда вам нужно было согласовать дорожную карту продукта между командами с конфликтующими приоритетами. Как вы достигли консенсуса?

Проверка продуктового мышления и ориентации на результат, а не на процесс.

Какие метрики, помимо технических показателей (uptime, latency), вы бы использовали для оценки успеха платформы перемещения данных?

Оценка технического кругозора и способности общаться с инженерами.

Как вы подходите к управлению техническим долгом в платформенных продуктах, когда бизнес требует новых функций?

Проверка способности работать в условиях неопределенности.

Расскажите о самом сложном решении по продукту, которое вам пришлось принять в условиях нехватки данных или меняющихся приоритетов.

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8451
Страна
США
Зарплата
121 000 $ – 201 250 $