채용
About us:
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is
important, and you'll build relationships by being authentic and respectful.
Team overview:
The Enterprise Data Platform team has a unique role in providing the foundational infrastructure, reliability engineering capabilities, and developer tooling that power data products, analytics, AI, and operational systems across Target.
Role overview:
As a Sr Product Manager focused on Data Platform SRE & Platform Services, you will be accountable for evolving and maturing core platform capabilities that enable reliability, scalability, observability, and operational excellence across our enterprise data ecosystem. You will also identify and drive centralization of cross-platform primitive services that reduce toil for the platform engineering and data engineering teams. These capabilities form the foundation that ensures data products are resilient, performant, cost-efficient, and trusted at enterprise scale.
As you drive outcomes within your problem space, you will:
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Own and evolve the product strategy, and outcome-based roadmap for Data Platform SRE tooling and backend platform services, including observability, reliability automation, cost optimization, capacity management, and operational workflows
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Lead continuous discovery through engagement with SREs, platform engineers, data engineers, and platform consumers to identify reliability gaps, toil, and systemic risks
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Facilitate cross-functional collaboration to align on priorities, tradeoffs, reliability targets (SLOs/SLAs), and delivery plans
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Develop lightweight prototypes or proofs-of-concept to validate ideas and de-risk investments in automation, telemetry, or developer tooling
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Translate validated concepts into clear product requirements and partner with engineering through delivery of scalable, reusable platform capabilities
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Lead go-to-market activities, including documentation, enablement, internal standards adoption, and change management, to drive measurable improvements in reliability and operational maturity
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Conduct industry and competitive benchmarking to ensure Data Platform SRE capabilities align with modern best practices in site reliability engineering, platform engineering, and cloud-native operations
In this role, you are expected to operate with a strong ownership mindset, establishing the vision, strategy, roadmap, discovery, and product requirements for the Data Platform. You will use your strong influencing skills to drive alignment, encouraging open exchange of ideas to deliver shared product, engineering & UX outcomes, while maintaining a strong sense of urgency.
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About you:
You are a strong product thinker who thrives in platform environments and enjoys working at the intersection of distributed systems, developer experience, reliability engineering, and enterprise-scale data platforms.
Required qualifications
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Four-year degree or equivalent experience
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6+ years of Product Management experience, or equivalent experience in Platform engineering, Infrastructure, Site reliability engineering, or data platforms
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Demonstrated ability to influence without direct authority and align diverse stakeholders across engineering, architecture, and operations teams
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Proven track record of building strong relationships with platform consumers, engineering teams, and senior leaders
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Strong ability to work in an agile, collaborative and matrixed environment
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Proven track record of product and/or people leadership
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Excellent verbal and written communication skills
Preferred qualifications
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Working knowledge of Site Reliability Engineering principles, including SLOs/SLAs, incident management, and postmortems
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Experience with observability tooling (metrics, logs, tracing), reliability automation, or internal developer platforms
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Understanding of cloud-native architectures and distributed data systems
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Experience with one or more major cloud platforms (Google Cloud, Microsoft Azure, AWS)
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Familiarity with cost management, capacity planning, and operational excellence practices in large-scale data environments
Useful Links:
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Life at Target: https://india.target.com/
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Benefits: https://india.target.com/life-at-target/workplace/benefits
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Target 소개

Target
PublicTarget Corporation, doing business as Target, is an American retail corporation headquartered in Minneapolis, Minnesota, United States. Target operates retail stores. It is the eighth-largest retailer in the United States and is a component of the S&P 500 Index.
10,001+
직원 수
Minneapolis
본사 위치
$78B
기업 가치
리뷰
3.7
10개 리뷰
워라밸
3.2
보상
2.8
문화
4.1
커리어
3.5
경영진
3.4
68%
친구에게 추천
장점
Friendly coworkers and team environment
Flexible scheduling and hours
Inclusive and diverse workplace culture
단점
Compensation below industry standards
High-paced and demanding work environment
Management and leadership issues
연봉 정보
51개 데이터
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Product Manager L4
0개 리포트
$105,500
총 연봉
기본급
-
주식
-
보너스
-
$89,675
$121,325
면접 경험
46개 면접
난이도
4.0
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 65%
보통 21%
부정 14%
면접 과정
1
Recruiter Screen
2
ML Coding
3
ML System Design
4
Research Discussion
5
Team Interviews
자주 나오는 질문
ML fundamentals
Design an ML system
Research paper discussion
Statistical concepts
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Today
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News
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1d ago