Sr. Product Manager II - AI Platform (Remote Eligible)
Smartsheet · United States · 3 wk ago
RemoteRemoteManagement$171k–$204k/yrFull-time
About the role
We're looking for a Senior Product Manager II to join our Applied AI organization at Smartsheet. You'll own the product roadmap for the AI platform the rest of the company builds on.
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.
- 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.
- Define the AI admin experience: Own the controls governing which AI features are on or off and for whom, and which usage, cost, and audit data gets surfaced to enterprise admins.
Requirements
You Will:
- 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.
- 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.
- Define the AI admin experience: Own the controls governing which AI features are on or off and for whom, and which usage, cost, and audit data gets surfaced to enterprise admins.
Qualifications
- 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
- Track record of shipping enterprise software from inception to launch with measurable business impact
- Comfort operating in high-ambiguity environments with significant autonomy and the ability to influence without authority across engineering, security, legal, and executive stakeholders
Skills
- Strong communication and collaboration skills
- Ability to work independently and as part of a cross-functional team
- Experience with agile methodologies and product development processes
- Understanding of data privacy and security regulations
Benefits
Current US Perks & Benefits:
- Employer subsidized medical/vision and dental coverage for full-time employees
- 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay)
- Monthly stipend to support your work and productivity
- Flexible Time Away Program, plus Sick Time Off
- US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans
- US employees receive 12 paid holidays per year
- Up to 24 weeks of Parental Leave
- Personal paid Volunteer Day to support our community
- Opportunities for professional growth and development including access to Udemy online courses
- Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account
- Teleworking options from any registered location in the U.S. (role specific)
Pay
US Base Salary Pay Range: $171,250 - $203,750 USD
Schedule
Based in our Bellevue, WA office, or remote from anywhere in the US where Smartsheet is a registered employer -- east coast time zone preferred for overlap with our distributed engineering teams.