Sr. Principal, Product Management

🇺🇸 Atlanta, Georgia
$210K - $240K Annual
Posted 1 month ago
Expires May 29, 2026

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Smarsh is the world’s leading provider of intelligence on sensitive communications for regulated industries. Global banks, insurers, and enterprises rely on Smarsh to detect risk, reduce noise, uncover insights, and apply compliant AI at scale. Our AI/ML platform integrates audio analytics, speech-to-text, OCR, translation, classification, and language identification to power supervision, surveillance, investigations, and next-generation GenAI-enabled workflows.
The AI Analytics capabilities and AI/ML models serve as core platform services used by every Smarsh product. Ensuring that the MLOps and Agentic infrastructure is robust and scalable while aligned with technology landscape is of strategic importance to the company.
 
Role Overview
We are seeking a product leader to own MLOps and Agentic strategy for Smarsh’s Analytics Platform. Models are proliferating faster than the infrastructure to govern them, and agentic workflows are moving from proof-of-concept to production with real money, real customers, and real regulatory scrutiny on the line. This is not a role for someone who thinks about MLOps and agent frameworks separately. We need a product leader who sees them as two sides of the same coin: the platform that governs how models are built, deployed, and monitored, and the orchestration layer that determines how those models act autonomously on b...

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