Senior Director, Product Management

Posted 24 Days Ago
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Pune, Mahārāshtra, IND
In-Office
Senior level
Artificial Intelligence • Information Technology • Analytics
The Role
The Director of Product Management will lead product strategy and execution for AI-driven enterprise platforms, focusing on copilot-style experiences and agentic workflows. Responsibilities include problem definition, system design, and cross-functional leadership to create reliable, scalable solutions for enterprise customers.
Summary Generated by Built In

We are looking for a Senior Product Manager / Director (Individual Contributor) to lead complex, high-impact product areas across AI-powered enterprise platforms. 
This role is suited for someone who operates as a senior IC with end-to-end ownership—driving product strategy, shaping system design, and delivering high-quality outcomes in ambiguous problem spaces.

You will work at the intersection of AI/LLM systems, search, and enterprise workflows, building copilot-style and agentic AI experiences that enable users to interact with systems through natural language, contextual insights, and intelligent assistance. You will also be responsible for designing scalable, extensible platform systems that serve as the foundation for AI-driven capabilities across the product. 

Responsibilities

1. Problem Solving & Product Strategy 

  • Own ambiguous problem areas and define clear product direction 
  • Break down complex workflows into structured, solvable components 
  • Drive roadmap decisions grounded in business impact, feasibility, and scale 



2. AI & Agentic Experience Ownership 

Lead product thinking across: 

  • Copilot-style interfaces (natural language, conversational UX) 
  • AI-powered capabilities such as retrieval, and reasoning 
  • Agentic workflows — autonomous task execution, multi-agent orchestration, tool-use patterns, and planning-execution loops 

Design systems that: 

  • Enable context-aware exploration and decision support 
  • Support multi-step reasoning, iterative workflows, and goal-driven agent behavior 
  • Combine assistance (copilot) with autonomous action (agents) 
  • Allow agents to plan, decompose tasks, select tools, and execute reliably 

Define how systems: 

  • Transition from insight → recommendation → autonomous action 
  • Balance autonomy vs control in agent behavior 
  • Ensure reliability, guardrails, observability, and explainability 

Drive key trade-offs: 

  • Accuracy vs latency 
  • Cost vs performance 
  • Automation vs human-in-the-loop control 
  • Agent autonomy vs enterprise governance 



3. Hands-on Execution & Scalable System Thinking 

Create clear product artifacts (PRDs, frameworks, decision docs). 

Go deep into: 

  • Feature definition and edge cases 
  • System behavior, failure modes, and recovery patterns 
  • End-user experience, clarity, and trust 

Shape: 

  • Interaction patterns (response flows, reasoning transparency) 
  • Agent behaviors (triggering, execution boundaries, fallback logic) 
  • How outputs are grounded, verifiable, and actionable 

Design for scale: 

  • Build reusable, extensible platform components that serve multiple product areas 
  • Think in terms of shared primitives, APIs, and composable capabilities 
  • Ensure systems are designed for multi-tenant, high-volume enterprise environments 

Partner closely with engineering on system architecture, scalability, and implementation decisions. 

4. Cross-Functional Leadership 

  • Work closely with engineering, design, and business teams 
  • Align stakeholders and drive decisions across functions 
  • Execute without formal authority, relying on influence and clarity 

5. Customer-Centric Thinking 

  • Translate real-world problems into scalable solutions 
  • Balance domain depth with platform generalization 
  • Ensure solutions are practical, reliable, and enterprise-ready 

Qualifications

Experience 

  • 8–12 years in Product Management 

Experience in at least 2 of the following areas (with demonstrated product ownership): 

  • AI/ML or LLM-based products, including copilot-style or agent-driven experiences 
  • Enterprise SaaS platforms 
  • Search, data, or workflow systems 

Core Skills 

Strong problem structuring and analytical thinking. 

Solid understanding of: 

  • AI/LLM product patterns (search, reasoning, summarization) 
  • Designing copilot and agent-based systems (assist + automate) 
  • Agentic AI patterns — tool-use, planning loops, multi-agent coordination, and autonomous execution 
  • System trade-offs in distributed or data-heavy environments 



Familiarity with: 

  • Multi-step reasoning workflows and orchestration patterns 
  • Human-in-the-loop vs autonomous execution models 
  • Designing for trust, observability, and failure handling in AI systems 
  • Building scalable, multi-tenant platform systems with reusable components and extensible APIs 



Ability to: 

  • Operate at both system and feature level 
  • Write clear, structured product documentation 
  • Work hands-on with engineering teams on architecture and scale decisions 



Operating Style 

  • High ownership, strong execution focus 
  • Comfortable navigating ambiguity and evolving requirements 
  • Influences without authority; drives outcomes independently 

Success in This Role 

  • Takes ownership of critical product areas end-to-end 
  • Brings clarity to ambiguous problems and drives execution 
  • Builds intuitive copilot experiences and reliable agentic workflows 
  • Designs scalable systems that become the foundation for multiple product capabilities 
  • Improves product quality across usability, trust, and impact 
  • Enables systems that not only answer questions—but plan, act, and complete meaningful tasks autonomously 
About Us

Icertis is the global leader in AI-powered contract intelligence. The Icertis platform revolutionizes contract management, equipping customers with powerful insights and automation to grow revenue, control costs, mitigate risk, and ensure compliance - the pillars of business success. Today, more than one third of the Fortune 100 trust Icertis to realize the full intent of millions of commercial agreements in 90+ countries.

About the Team

Who we are:  Icertis is the only contract intelligence platform companies trust to keep them out in front, now and in the future. Our unwavering commitment to contract intelligence is grounded in our FORTE values—Fairness, Openness, Respect, Teamwork and Execution—which guide all our interactions with employees, customers, partners, and stakeholders. Because in our mission to be the contract intelligence platform of the world, we believe how we get there is as important as the destination.

Icertis, Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Icertis, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to [email protected] or get in touch with your recruiter.


Skills Required

  • 8-12 years in Product Management
  • Experience in AI/ML or LLM-based products
  • Experience in Enterprise SaaS platforms
  • Experience in Search, data, or workflow systems

Icertis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Icertis and has not been reviewed or approved by Icertis.

  • Fair & Transparent Compensation Pay is described as competitive in select roles and markets, and bands for functions like sales and engineering often track broader tech‑market levels. This points to compensation that can align well with market for certain functions and geographies.
  • Retirement Support A 401(k) with company match is employer‑verified in the U.S., indicating solid retirement benefits in core markets. This provides a clear foundation of long‑term financial support.
  • Leave & Time Off Breadth Vacation and paid time off are employer‑verified in the U.S., and programs such as “7 Days for Humanity” and an additional July 4th break extend time‑off options. Together these elements reflect a broad mix of leave offerings beyond standard PTO.

Icertis Insights

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The Company
HQ: Bellevue, WA
1,746 Employees
Year Founded: 2009

What We Do

With unmatched technology and category-defining innovation, Icertis pushes the boundaries of what’s possible with contract lifecycle management (CLM). The AI-powered, analyst-validated Icertis Contract Intelligence (ICI) platform turns contracts from static documents into strategic advantage by structuring and connecting the critical contract information that defines how an organization runs. Today, the world’s most iconic brands and disruptive innovators trust Icertis to fully realize the intent of their combined 10 million+ contracts worth more than $1 trillion, in 40+ languages and 90+ countries.

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