Smarsh

Senior Principal, Product Management

Smarsh

full-time

Posted on:

Location Type: Hybrid

Location: Atlanta • United States

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Salary

💰 $210,000 - $240,000 per year

Job Level

Senior

About the role

  • Define and socialize the multi-year MLOps platform roadmap, spanning model training, evaluation, deployment, monitoring, and retirement across global regions
  • Architect product solutions for multi-region model inference with data residency constraints — ensuring our models operate compliantly across jurisdictions without sacrificing performance
  • Drive model observability and drift detection capabilities from concept to adoption, in partnership with Data Science and Engineering
  • Own the vendor and tooling strategy across the MLOps stack evaluating build vs. buy tradeoffs with a clear lens on total cost of ownership and compliance posture
  • Publish the Agent Framework Reference Architecture defining how autonomous and semi-autonomous agents are designed, tested, and deployed within a regulated FinServ environment
  • Lead product strategy for agentic workflow reliability, including human-in-the-loop design patterns, tool-use governance, and failure mode handling
  • Champion model governance as a product capability not a compliance checkbox by embedding risk controls directly into the platform so teams can move fast within guardrails
  • Drive adoption of the Model Governance Framework with Model Risk Management (MRM) teams, ensuring our AI systems meet regulatory expectations across all deployment regions
  • Define meaningful KPIs and observability standards that allow risk and compliance teams to assess model health without becoming a bottleneck to innovation
  • Develop and maintain a model risk taxonomy that scales across foundation models, fine-tuned models, and agentic systems
  • Partner with Applied ML, Engineering, Product, Finance, and Procurement to ensure alignment on strategy, performance, and cost.
  • Represent the MLOps and Agent Frameworks product domain to senior leadership, translating complex technical tradeoffs into strategic narratives that drive decision-making

Requirements

  • 8+ years of product management experience, with at least 3 years focused on ML infrastructure, MLOps platforms, or AI/ML product strategy
  • Experience partnering directly with Data Science/Applied ML and Engineering teams.
  • Demonstrated experience shipping ML platform or AI infrastructure products in a regulated industry — financial services, healthcare, or similarly complex environments strongly preferred
  • Hands-on experience/ strong familiarity with MLOps tooling (e.g., MLflow, Kubeflow, SageMaker, Vertex AI, Databricks) and the ability to evaluate them critically as a product strategist
  • Working knowledge of LLM orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI) and the architectural tradeoffs they represent
  • Demonstrated experience managing build vs. buy decisions or large-scale vendor evaluations.
  • Excellent communication skills and ability to work across product, engineering, and commercial teams.
  • Willingness to support deal cycles with competitive insights and analytics expertise.
Benefits
  • Healthcare insurance - We provide medical, dental, and vision insurance, and a flexible spending account that allows you to set aside pre-tax dollars to pay for eligible out-of-pocket expenses.
  • Personal time off - A healthy work-life balance is critical to your success at the office. Smarsh offers a “take-what-you-need” time off policy as well as flexible work arrangements
  • 401K Match - Smarsh provides a 4% 401K match for which employees are fully vested on day one.
  • Sabbatical – The Smarsh sabbatical program provides a time to recharge, to study or simply a time to do something you are passionate about away from the workplace. Employees are eligible after six years of service.
  • Recognition - We’re big on kudos for a job well done. Our employee-recognition program enables co-workers to nominate their peers who best embody our core values for recognition
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
MLOpsmodel trainingmodel evaluationmodel deploymentmodel monitoringmodel observabilitydrift detectionmodel governanceKPI developmentmodel risk taxonomy
Soft Skills
communicationleadershipstrategic thinkingcollaborationproblem-solvingdecision-makingrisk managementproduct strategytool-use governancefailure mode handling