Why This Job is Featured on The SaaS Jobs
This Product Manager role sits at the intersection of enterprise SaaS and applied generative AI, focused on shipping conversational copilots and agentic workflows inside a production platform. In the current SaaS landscape, where many teams are moving from prototypes to dependable AI features, the emphasis on grounding, safety rules, and measurable reliability signals work that is closer to “platform capability” than one-off experimentation.
From a SaaS career perspective, the scope builds durable product muscles: turning ambiguous user needs into PRDs and acceptance criteria, partnering tightly with engineering and UX, and using telemetry (adoption, retention, latency, fallback rates) to iterate. Experience defining evaluation frameworks—golden datasets, quality scoring, hallucination detection—also translates well across SaaS companies adopting LLMs, because it reflects the operational discipline required to maintain non-deterministic systems over time.
The role is best suited to a product manager who prefers hands-on execution and enjoys working through cross-functional trade-offs with AI/ML and design partners. It will fit someone motivated by technical-user workflows and comfortable treating product quality as a measurable system, not just a roadmap outcome, while operating within a globally distributed team setup.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Product Manager - CoreAI
Sumo Logic is hiring a Senior Product Manager to help shape the future of conversational AI experiences across our platform. In this role, you'll help deliver LLM-powered copilots and intelligent agents that make complex tasks easier, faster, and more context-aware for technical users.
You’ll collaborate with cross-functional partners across a globally distributed team—including engineering, design, data science, and fellow product managers. You’ll help us shape our high-level strategy into shipped features that are safe, grounded, and valuable to our customers. This is a hands-on, execution-focused role for someone who thrives on shipping high-quality AI products at scale.
Responsibilities
- Own the entire product lifecycle - from research and ideation to execution, launch, and iteration for conversational copilots and agent-assist capabilities
- Translate strategic direction into actionable PRDs, user stories, and testable acceptance criteria.
- Collaborate with AI/ML engineers and UX to refine prompts, improve grounding, and optimize user interactions.
- Define product strategy for agent-to-agent interactions and task orchestration, including delegation patterns, handoff protocols, and multi-agent coordination across the platform ecosystem.
- Contribute to the development of an evaluation framework, including golden datasets, LLM quality scoring, and hallucination detection.
- Partner with Engineering to implement guardrails, fallbacks, and safety rules to ensure responsible and evidence-backed AI outputs.
- Establish tolerance thresholds and reliability ranges for non-deterministic AI outputs, defining what "good enough" means for different use cases and user contexts.
- Monitor product KPIs like adoption, retention, fallback frequency, latency, quality scores, and usage telemetry
- Run regular data analysis to uncover user patterns, pain points, and opportunities for iteration.
- Support beta testing, issue triaging, and customer feedback synthesis for continuous improvement.
- Coordinate with Product Marketing and Enablement on rollout readiness and go-to-market activities.
Required Qualifications and Skills
- 4+ years of experience in product management, ideally with exposure to AI/ML or enterprise SaaS environments.
- Proven track record of deeply understanding user pain, running discovery, and converting ambiguous feedback into structured, testable hypotheses.
- Experience working on AI-powered tools, LLM copilots, or conversational agent experiences.
- Familiarity with prompt engineering, grounding techniques (RAG), and LLM evaluation best practices (e.g. LLM as a Judge ).
- Data fluency: Strong SQL skills; comfortable with dashboards, retention funnels, guardrail metrics, and driving data-informed decisions.Strong track record of managing roadmaps and executing cross-functional projects with engineering, design, and AI teams.
- Self-starter who thrives in fast-paced environments and adapts quickly to changing priorities.
- Excellent communication skills, both written and verbal, with a proven track record of effectively engaging with customers and cross-functional teams.
- Bachelor's degree in Computer Science, Engineering, or a related field
About Us
Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.
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