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Smartsheet

Sr. Product Manager I - Data Mesh

Smartsheet is hiring a Sr. Product Manager I - Data Mesh for a remote role open to applicants in India. Level rates it ; you can apply on Smartsheet.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include AI agents, product management and data governance.
  • Level lists 88 other open roles at Smartsheet.
  • The role was posted in the last few days.

AI in this role

Own the product strategy for Smartsheet's DataMesh capability supporting enterprise data workflows.

ai-agentsproduct-managementdata-governanceroadmap-managemententerprise-saas

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.

We are looking for a Senior Product Manager to own DataMesh, one of Smartsheet’s most widely used cross-sheet data capabilities and a critical part of how enterprise customers build and run their solutions today. DataMesh sits at the centre of a multi-year shift in Smartsheet’s data model, as we evolve towards column links and, ultimately, relational data capabilities. 

You Will:

  • Own the product strategy and roadmap for DataMesh, balancing near-term stability and customer needs against the longer-term migration strategy
  • Own the operational stability and serviceability of DataMesh, partnering with engineering and Support to prioritise defects, performance issues, and escalations
  • Shape and execute the migration path from DataMesh to column links, working closely with the Data Links PM on feature parity, the advanced column links roadmap, and report-as-a-source as a critical dependency
  • Lead customer and user discovery with enterprise personas (work admins, solution builders, system administrators, and power users) to understand how DataMesh is used in practice, identify migration blockers, and validate decisions before they ship
  • Partner with Customer Success and GTM to plan communications, enablement, and migration support for enterprise accounts that depend on DataMesh
  • Work with one or more engineering squads, navigating dependencies and making clear scoping and sequencing decisions across a complex, interconnected backlog
  • Author clear product briefs, requirements docs, and feature specs that design and engineering can execute on without ambiguity
  • Define success metrics for everything you ship, including DataMesh usage, migration progress, and quality indicators, and partner with data and analytics teams on instrumentation and reporting
  • Represent DataMesh in leadership reviews, WBRs, and customer conversations, including enterprise account engagements
  • Perform other duties as assigned

You Have:

  • 4+ years of product management experience delivering features within enterprise SaaS or B2B software products
  • Experience with data management, data modelling, workflow automation, platform integrations, or cross-sheet data referencing is a strong plus
  • Experience managing a mature product through sustain, deprecation, or migration phases is a plus
  • Strong customer instincts: you can run structured discovery, synthesise customer feedback, and turn it into well-scoped, validated product decisions
  • A track record of writing product briefs, requirements docs, and specs that engineering and design can act on without ambiguity
  • Demonstrated ability to drive cross-functional alignment across engineering, design, GTM, and Customer Success
  • Comfort working with engineering teams across time zones, including stakeholders in North America
  • A data-driven mindset: you define adoption and quality metrics before you ship and use post-launch data to guide iteration
  • Excellent written and verbal communication skills, including confidence presenting in leadership reviews and speaking directly with enterprise customers
  • Familiarity with API-driven product development or working alongside platform engineering teams is a plus
  • Legally eligible to work in India on an ongoing basis
  • Fluency in English is required

 

Get to Know Us:

At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.

Equal Opportunity Employer:

Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. 

If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

 

#LI-Remote

How we rate this

Sr. Product Manager I - Data Mesh at Smartsheet rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsProduct ManagementData GovernanceRoadmap ManagementEnterprise Saas

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where product management was part of your work. What did you do?
  3. Tell me about a project where data governance was part of your work. What did you do?
  4. Tell me about a project where roadmap management was part of your work. What did you do?
  5. Tell me about a project where enterprise saas was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Product Management, Data Governance, Roadmap Management, and Enterprise Saas. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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