Product Manager at Sumo Logic

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

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

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

Skills

Key technologies and capabilities for this role

Product ManagementLLMConversational AICopilotsIntelligent AgentsPRDsUser StoriesAI/MLPrompt EngineeringGroundingEvaluation FrameworkHallucination DetectionGuardrailsProduct KPIsData Analysis

Questions & Answers

Common questions about this position

What experience is required for this Product Manager role?

Candidates need 4+ years of experience in product management, ideally with exposure to AI/ML or enterprise SaaS environments, plus experience with AI-powered tools, LLM copilots, or conversational agents.

What technical skills are essential for this position?

Key skills include familiarity with prompt engineering, grounding techniques (RAG), LLM evaluation best practices, and strong SQL skills for data fluency and analysis.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of team will I be working with?

You'll collaborate with cross-functional partners across a globally distributed team, including engineering, design, data science, and fellow product managers.

Sumo Logic

Cloud-based data analytics and security platform

About Sumo Logic

Sumo Logic provides data analytics and security tools that help businesses collect, analyze, and visualize large datasets. Their cloud-based platform allows medium to large enterprises in various industries to manage their data efficiently and securely from anywhere. Unlike many competitors, Sumo Logic operates on a subscription model, offering scalable solutions that enable clients to budget their expenses predictably. The company's goal is to empower businesses to make informed decisions and enhance their operational efficiency and security.

Redwood City, CaliforniaHeadquarters

2010Year Founded

$330.8MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise Software, CybersecurityIndustries

501-1,000Employees

Benefits

Competitive base salary + bonus + RSU's

Unlimited PTO + 12 company holidays + 4 quarterly wellness days

100% remote or in office

Employee stock purchase plan- ESPP

Medical, Dental, Vision

Paid Parental leave

Risks

Increased competition from companies like Magna5 could threaten market share.

Free data ingest model may lead to revenue challenges if not enough paying customers.

Rapid global data growth could overwhelm infrastructure, affecting service reliability.

Differentiation

Sumo Logic offers a cloud-native platform for real-time machine data analytics.

The company provides a unique Flex Licensing model for unlimited log data ingest.

Sumo Logic's Cloud SIEM solution automates threat detection and provides contextualized threat insights.

Upsides

Expansion into South Korea opens new customer bases in the Asian market.

Recognition as a Challenger in Gartner's Magic Quadrant enhances credibility and attracts clients.

Flex Licensing model removes cost barriers, potentially increasing customer acquisition.

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