AI Platform Engineer Jobs in Boston, MA

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 - the infrastructure that serves models, orchestrates agents, measures quality, governs AI behavior, and connects AI activity to business value. You'll be the product owner for the AI Platform engineering team, bridging to our data engineering and product feature teams where those areas intersect.

You'll report to our Director of Product Management for Applied AI and partner closely with the AI Platform engineering team. 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.

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 - 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.
• 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.

You Have:

• 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 (strongly preferred)
• Familiarity with data and ML platforms, particularly Databricks (Delta Lake, Unity Catalog, MLflow) or equivalent lakehouse environments (strongly preferred)
Demonstrated experience with responsible AI frameworks
• - governance policy, agent access controls, audit logging, or enterprise AI compliance (preferred)
• 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