Product Manager

6 days ago


Noida Or Bangalore India Sumo Logic Full time ₹ 8,00,000 - ₹ 24,00,000 per year

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.

What You Will Be Doing:

  • 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.

What You Bring:

  • 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. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit

Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.


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