Smartsheet

1 month ago

Sr. Product Manager II - AI Platform (Remote Eligible)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead the AI platform roadmap and governance for Smartsheet’s AI infrastructure, orchestrating model serving, agent orchestration, and responsible AI controls while partnering with data engineering and product teams to deliver enterprise-grade AI features that drive measurable business value.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•Own the AI platform roadmap: Define and drive strategy and execution for model serving, the LLM gateway, agent orchestration, and the infrastructure that keeps models and agents running reliably in production -- partnering with data engineering to define what the AI platform needs from the data layer without owning it directly.
•Bridge platform and product teams: Own the seams between infrastructure and the teams shipping AI-powered product features, ensuring agent capabilities are governed, discoverable, and consistently delivered.
•Own AI monetization as a product surface: Map agent activity to consumption-based AI credits, ensure logging infrastructure supports that mapping, and surface usage and cost data to enterprise admins.
•Make evaluation and observability first-class: Ship pre-deployment eval gates plus production tracing, monitoring, alerting, and regression detection so you catch quality issues before customers do.
•Build the AI governance and responsible AI layer: Own output-quality guardrails, agent access controls, data classification, audit logging, and enterprise compliance (SOC 2, EU AI Act, ISO 42001) as a horizontal control plane across every AI feature -- including the responsible AI framework governing how we evaluate bias, fairness, and safe agent behavior.

Pay and Benefits

Salary: USD 171,250 - 203,750 annually

Perks:401kHealth InsuranceDentalRemote WorkPaid LeaveSick TimeParliamentary LeaveVolunteer TimeLearning BudgetTeleworking Options

Key Requirements

•8+ years of product management experience with technically complex platforms, ideally in enterprise SaaS
•Deep fluency in AI/ML concepts -- agent and sub-agent architectures, orchestration, tool use, prompt engineering, and quality measurement
•Experience building or managing evaluation and quality infrastructure for AI or ML systems, including reading traces and eval runs to form your own opinion on technical tradeoffs
•Familiarity with data and ML platforms, particularly Databricks (Delta Lake, Unity Catalog, MLflow) or equivalent lakehouse environments
•Demonstrated experience with responsible AI frameworks -- governance policy, agent access controls, audit logging, or enterprise AI compliance

Experience:8+ yearsEnterprise SaaS

Skills:English

Languages:English

Tech Stack:DatabricksDelta LakeUnity CatalogMLflowLLMPrompt engineeringObservabilityMonitoringAudit loggingSOC 2EU AI ActISO 42001

Company Brief

Smartsheet

Provides a cloud-based work management platform that enables teams to plan, track, automate, and report on work. Smartsheet combines spreadsheets, collaboration, and workflow automation to help organizations manage projects and processes at scale.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bellevue, United States

Founded: 2005

Website LinkedIn

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Smartsheet

1 month ago

Sr. Product Manager II - AI Platform (Remote Eligible)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•Own the AI platform roadmap: Define and drive strategy and execution for model serving, the LLM gateway, agent orchestration, and the infrastructure that keeps models and agents running reliably in production -- partnering with data engineering to define what the AI platform needs from the data layer without owning it directly.
•Bridge platform and product teams: Own the seams between infrastructure and the teams shipping AI-powered product features, ensuring agent capabilities are governed, discoverable, and consistently delivered.
•Own AI monetization as a product surface: Map agent activity to consumption-based AI credits, ensure logging infrastructure supports that mapping, and surface usage and cost data to enterprise admins.
•Make evaluation and observability first-class: Ship pre-deployment eval gates plus production tracing, monitoring, alerting, and regression detection so you catch quality issues before customers do.
•Build the AI governance and responsible AI layer: Own output-quality guardrails, agent access controls, data classification, audit logging, and enterprise compliance (SOC 2, EU AI Act, ISO 42001) as a horizontal control plane across every AI feature -- including the responsible AI framework governing how we evaluate bias, fairness, and safe agent behavior.

Pay and Benefits

Salary: USD 171,250 - 203,750 annually

Perks:401kHealth InsuranceDentalRemote WorkPaid LeaveSick TimeParliamentary LeaveVolunteer TimeLearning BudgetTeleworking Options

Key Requirements

•8+ years of product management experience with technically complex platforms, ideally in enterprise SaaS
•Deep fluency in AI/ML concepts -- agent and sub-agent architectures, orchestration, tool use, prompt engineering, and quality measurement
•Experience building or managing evaluation and quality infrastructure for AI or ML systems, including reading traces and eval runs to form your own opinion on technical tradeoffs
•Familiarity with data and ML platforms, particularly Databricks (Delta Lake, Unity Catalog, MLflow) or equivalent lakehouse environments
•Demonstrated experience with responsible AI frameworks -- governance policy, agent access controls, audit logging, or enterprise AI compliance

Experience:8+ yearsEnterprise SaaS

Skills:English

Languages:English

Tech Stack:DatabricksDelta LakeUnity CatalogMLflowLLMPrompt engineeringObservabilityMonitoringAudit loggingSOC 2EU AI ActISO 42001

Company Brief

Smartsheet

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bellevue, United States

Founded: 2005

Website LinkedIn