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AI Product Manager — Freddy AI
T1
Freshworks

AI Product Manager — Freddy AI

Freshworks seeks AI Product Managers for the Freddy AI suite (customer service AI products). ₹40-70 LPA + ESOPs. Chennai or Bengaluru. Eligibility: 5+ years of B2B SaaS PM, at least 2 years on AI/ML products. Required: deep understanding of LLM applications, GenAI evaluation meth
private-mnc
AI Product Manager
senior
on-site

Quick take: AI Product Manager at Freshworks for Freddy AI suite. ₹40–70 LPA permanent role in Bengaluru/Chennai. Requires 5+ years B2B SaaS PM + 2+ years AI/ML products. Direct apply via careers portal.

About this AI Product Manager role at Freshworks

Freshworks, a global leader in customer engagement software, is hiring AI Product Managers for Freddy AI—their cutting-edge suite of AI-powered customer service products. This is a senior-level opportunity in Bengaluru for experienced product managers ready to shape the future of generative AI in customer support, with competitive compensation and equity upside.

What you'll do

  • Define and ship AI product features for Freddy AI's large language model–powered customer service solutions, translating customer needs into roadmap priorities
  • Evaluate and benchmark GenAI models and methodologies, selecting the right architectures and LLM applications for customer success
  • Partner with engineering and customer teams to understand how LLM capabilities translate to real support workflows and outcomes
  • Build deep customer empathy through research and feedback loops, ensuring AI features solve genuine pain points in customer service
  • Own the technical fluency to engage in AI/ML discussions—understanding model limitations, fine-tuning trade-offs, and generative AI evaluation best practices
  • Drive go-to-market strategy for AI-powered product launches, positioning Freddy AI's differentiation in a fast-moving GenAI landscape

Who should apply

You need at least 5+ years of B2B SaaS product management experience, with a minimum of 2 years specifically shipping AI or ML products. This is a senior-level AI Product Manager role, so Freshworks expects strong technical fluency—you should be comfortable discussing LLM applications, GenAI evaluation methodologies, and AI/ML product strategy. If you've driven adoption of generative AI features or evaluated large language models in production, you're a strong candidate.

Salary & offer in context

This role offers ₹40–70 LPA (₹3,33,333–₹5,83,333 per month) plus ESOPs, placing it at the high end of the senior AI Product Manager salary range in India. For context, senior AI product management roles in India typically range from ₹30–80 LPA at tier-1 tech companies; this package reflects Freshworks' recognition of the specialized skills required to shape AI products in the competitive generative AI space.

Path to apply

This is a direct online application—no exam, no intermediary. Visit Freshworks' careers portal and search for AI Product Manager roles in Bengaluru or Chennai to apply immediately. The deadline is 20 June 2026, so move quickly if this aligns with your background. Once you apply, you'll progress through their standard interview process with direct feedback from hiring managers.

One Glance

Sector
Private-mnc
விண்ணப்பிக்கும் முறை
Online-portal
Role
AI Product Manager
Experience
Senior
Salary
₹3.3L–₹5.8L/mo
Location
Bengaluru
வேலை ஏற்பாடு
On-site
Deadline
20 Jun 2026
கடைசியாக சரிபார்க்கப்பட்டது
2026-06-12T00:00:00.000Z

AI Product Manager வேலைகளுக்கு தகுதி பெற free courses

இந்த வேலைக்குத் தேவையான course ladder — AIshala மூலம் சரிபார்க்கப்பட்ட free courses. மொத்தமாக 6 வாரங்கள்.

Step 1
Free AI Basics
Builds foundational understanding of AI/ML concepts and real-world applications, essential baseline for evaluating generative AI solutions.
Step 2
Practice + Portfolio
Teaches large language model architectures, prompt engineering, and GenAI evaluation—the core technical skills for shipping AI products at Freshworks.
Step 3
Confident-ஆ விண்ணப்பிக்கவும்
Covers enterprise AI evaluation methodologies and responsible AI frameworks, critical for product decisions on LLM deployment and customer impact.

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