Description :

Job Title : Staff Product Manager

Locations : Bangalore (3 days a week work from Conga office)

Reports to : Manager, Product Management

A Quick Snapshot :

We are seeking a Staff Product Manager who will drive strategic vision and execution for Discovery Agent's evolution from template-based extraction to autonomous, agentic AI capabilities.

This is a high-impact role requiring deep technical expertise in AI/ML products, contract domain knowledge, and the ability to influence across the organization.

You'll own multi-quarter product strategy, define breakthrough capabilities like Zero-Touch Setup, architect agent orchestration frameworks, and mentor other product managers while working directly with our most strategic enterprise customers.

About Discovery Agent :

Discovery Agent is Conga's AI-powered solution that transforms how enterprises extract, analyse, and manage contract data. Part of a three-agent architecture (Discovery Agent, Search Agent, and Redline Agent), Discovery Agent serves Fortune 500 customers, reducing contract implementation time through intelligent automation and agentic AI capabilities.

Why It's a Big Deal :

A Staff PM will play a critical role in shaping Discovery Agent ahead of competitors. It will directly impact Conga's strategic initiatives and set industry standards for AI-powered contract management.

Are You the Person We're Looking For ?

- Related Experience : You must have more than 8 years of experience in Product management with 5+ years in enterprise AI/ML products or intelligent automation platforms.

- 0 to 1 product Initiatives : You are good in leading 0-to-1 product initiatives in AI/ML, particularly in document intelligence, contract analytics, or enterprise automation

- AI/ML & Agentic Systems Expertise : You have a good understanding of Large Language Models (LLMs), prompt engineering, and agent architectures. You also have knowledge of multi-agent orchestration, including tool calling, conditional logic, and agent collaboration patterns

- AI Implementation challenges : You know how to deal with the AI implementation challenges at enterprise scale - latency, accuracy, cost optimization, and hallucination mitigation. You are familiar with RAG (Retrieval-Augmented Generation) systems and vector databases. You understand the model fine-tuning, evaluation frameworks, and AI performance metrics

- Design Patterns and MCP : You have good knowledge of agentic design patterns : autonomous decision-making, tool use, self-configuration, and adaptive behaviours. You have good understanding of Model Context Protocol (MCP) or similar agent communication frameworks

- Mentor and Strategy : You have good experience of mentoring and developing product managers, setting product standards across teams and a proven track record of defining and executing multi-quarter product strategies that drove significant revenue or market differentiation.

- Customer & Stakeholder Excellence : You are exceptional executive presence with Fortune 500 customers and internal C-suite stakeholders. You show a proven ability to run discovery sessions that uncover deep customer problems and quantify business impact

- Enterprise Product Expertise : You are a subject matter expert on enterprise AI product implementation and deployment and expertise with customer implementation strategies that reduce time-to-value from months to weeks.

- Configuration vs. customization : You also have a deep understanding of configuration vs. customization trade-offs in enterprise software. You have proven ability to design self-service and low-touch setup experiences for complex AI systems.

Here's What Will Give You an Edge :

- AI/ML & Agentic Systems Expertise : You have good familiarity with RAG (Retrieval-Augmented Generation) systems and vector databases. You are good in understanding model fine-tuning, evaluation frameworks, and AI performance metrics.

- Product Craft & Execution : You have mastery of product discovery techniques, jobs-to-be-done, outcome-driven innovation, continuous discovery habits. You are expert at writing detailed PRDs with clear success criteria, technical architecture, and launch strategies.

- Product Sense : You have strong product sense for AI UX/UI, conversational interfaces, trust indicators, explainability, and error handling. You are able to make hard trade-off decisions between accuracy, latency, cost, and user experience. You are also skilled at defining product roadmaps that balance innovation, technical debt, and customer commitments.

- Product Training : You have experience creating and delivering product training for sales teams, partners, and customer-facing teams.

- Good to have : It is good if you have knowledge of contract lifecycle management (CLM) workflows and pain points, deep understanding of contract data extraction challenges : clause identification, obligation tracking, metadata extraction, and relationship mapping and familiarity with legal and compliance requirements for Enterprise CLM

- Architecture : It is good if you have strong knowledge of enterprise integration patterns, APIs, and data pipeline architectures. You are good in understanding of multi-tenant SaaS architecture and enterprise security/compliance requirements