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Staff Inbound Product Manager - ServiceNow Platform Analytics

ServiceNow

Staff Inbound Product Manager - ServiceNow Platform Analytics

ServiceNow

Hyderabad

·

On-site

·

Full-time

·

1mo ago

필수 스킬

Machine Learning

Team:

The Service Now Platform Analytics team delivers world-class analytics solutions used by millions of users worldwide. We empower organizations to take action using data, workflows, and AI—introducing innovative capabilities that help businesses connect, understand, and act on any data.

What you get to do in this role:

  • Lead product strategy that sets us up for success as we look to grow to $10B+ in revenue
  • Drive customer engagement to uncover requirements, prioritize use cases, and define the roadmap for a new enterprise-grade DSML platform
  • Evangelize DSML capabilities with internal and external stakeholders to drive awareness, enablement, and adoption.
  • Integrate usability studies, research, and market insights into product roadmaps that deliver clear customer value.
  • Collaborate with engineers, designers, product manager and senior leadership to deliver exceptional solutions
  • Develop multi-mode communications that convey a clear understanding of the needs of different audiences
  • Lead the promoting of efforts across different groups of team members, along with the ability to influence inside and outside of your team.

To be successful in this role you have:

  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
  • Strong domain expertise in data science, machine learning, analytics, data products, semantic layers, and/or knowledge graphs.
  • 8+ years of software product management experience
  • Strong understanding of the data and analytics landscape and how organizations leverage data in near real-time to power AI and innovation.
  • Excellent prioritization skills and the discipline to focus on high-impact activities.
  • Customer-obsessed mindset: skilled at identifying root problems and translating them into scalable product solutions.
  • Proven ability to build deep customer relationships and deliver customer-centric outcomes.
  • Ability to inspire and align engineering teams to deliver exceptional user experiences.
  • Technical acumen and experience collaborating with developers and architects to build scalable, reliable platform services.
  • Drive solution development through big-picture solution development
  • Ability to serve as a team lead and coach employees at lower levels

FD21

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to Service Now employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, Service Now may confirm the distance between your primary residence and the closest Service Now office using a third-party service.

Equal Opportunity Employer

Service Now is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), Service Now may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon Service Now obtaining any export license or other approval that may be required by relevant export control authorities.

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

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모의 지원자 수

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스크랩

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ServiceNow 소개

ServiceNow

ServiceNow, Inc. is an American software company that supplies a cloud computing platform for the creation and management of automated business workflows. The company was founded in Santa Clara, California, United States, in 2003 by Fred Luddy.

10,001+

직원 수

Santa Clara

본사 위치

$150B

기업 가치

리뷰

3.9

25개 리뷰

워라밸

3.2

보상

3.8

문화

2.8

커리어

3.5

경영진

2.9

45%

친구에게 추천

장점

Good compensation and benefits package

Learning opportunities and skill development

Work-life balance emphasis and flexible remote options

단점

Toxic management and politics

Heavy bureaucracy and slow decision making

Layoffs and restructuring uncertainties

연봉 정보

35개 데이터

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Staff/L6

VP

Director

Junior/L3 · Product Manager IC1

0개 리포트

$127,416

총 연봉

기본급

-

주식

-

보너스

-

$108,403

$146,429

면접 경험

11개 면접

난이도

2.8

/ 5

소요 기간

14-28주

합격률

45%

경험

긍정 18%

보통 82%

부정 0%

면접 과정

1

Application Review

2

Phone Screen/Online Assessment

3

Technical Interview

4

Behavioral Interview

5

Final Round/Panel Interview

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience