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Product Management Director

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: Tableau
Full Time position
Listed on 2026-06-16
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Job Description & How to Apply Below
Location: Bengaluru

Job Category
Product
Job Details

About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About Employee Service at Salesforce
Salesforce Employee Service powers next-generation internal support and service management. Our platform enables organizations to deliver seamless IT and HR experiences to their workforce by:
Automating internal service processes and streamlining cross-departmental workflows.

Leveraging AI to intelligently mine knowledge, resolve employee inquiries instantly, and power autonomous, agent-driven interactions.

Delivering exceptional employee experiences with intelligent case routing, predictive insights, and real-time collaboration tools that boost enterprise productivity.

About the Role
We're seeking a visionary  Director of Product Management  to lead our next-generation AI initiatives and drive the strategy of AI-first, collaboration-first, and platform-centric innovations across our Employee Service portfolio (spanning IT Service Management and HR Service Delivery). This role is critical to building enterprise-grade internal service solutions that empower employees, IT helpdesks, and HR teams at scale.

You will lead the charge in transitioning our employee service paradigm from reactive ticketing to proactive, autonomous workflows. You will build and scale enterprise-grade Agentic AI systems, determining how autonomous agents collaborate with human employees, integrating state-of-the-art LLMs, and defining the future of AI-first work.
As the owner of the AI roadmap, you will translate the latest industry trends-spanning Generative AI and Predictive Machine Learning-into scalable product features. Working cross-functionally with engineering, data science, UX, sales, and marketing, you will ensure our AI solutions remain cutting-edge, secure, and highly impactful for transforming how enterprises support their workforce.

What You'll Do
Define Product Strategy:  Own the product vision and strategy for AI-driven capabilities within Employee Service (IT and HR domains), ensuring alignment with broader business goals.

Agentic AI Leadership:  Lead the conceptualization and delivery of Agentic AI workflows, enabling autonomous, task-oriented AI agents to resolve internal IT tickets and HR requests.

Architectural Strategy:  Drive product and architectural decisions around LLM integration, RAG pipelines, and agent orchestration frameworks. You will own the trade-offs between model performance, latency, cost, and context window optimization.

AI Trust, Safety & Evals:  Design robust evaluation frameworks for AI agents to measure accuracy, mitigate hallucinations, manage prompt injection risks, and maintain enterprise-grade data privacy.

AI-First UX :
Define the UX paradigms for human-in-the-loop (HITL) interactions, ensuring seamless handoffs between autonomous agents and employees/IT Teams.

Customer Discovery & Integration:  Engage directly with enterprise customers to understand complex pain points, specifically focusing on how they discover, adopt, and integrate AI applications into their internal IT, HR, and custom enterprise ecosystems (e.g., via API-based integrations and secure server environments).

Cross-Functional Execution:  Collaborate deeply with engineering, data science, and UX teams to build scalable, intuitive, and high-performance AI solutions, driving prioritization and trade-offs.

Go-to-Market Alignment:  Partner with sales, marketing, and enablement teams to define GTM strategies, positioning, and messaging to ensure successful product launches and market adoption.

Executive Communication:  Regularly present product updates, AI strategies, and measurable results to C-suite leadership and external partners, ensuring continuous alignment.

Data-Driven Iteration:  Leverage data-driven insights to continuously improve product offerings, tracking employee adoption, operational cost savings, and market share expansion.

What We're Looking For

Experience:

14+ years of product management experience in enterprise SaaS, with a demonstrated track record of taking an Agentic product from 0-to-1 and scaling it in a production environment.

AI/ML Expertise:  Hands-on familiarity with LLM orchestration (e.g., Lang Chain, Llama Index), embedding models, vector databases, and designing autonomous agent loops (planning, tool use, reflection). You deeply understand the trade-offs between different foundation models and fine-tuning vs. RAG approaches. Strong…
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