A career that’s the whole package!
At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.
Conga lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, Conga aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust Conga when commercial complexity is high and global impact is on the line.
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
Did we pique your interest?
If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you!
Preferred Resume Format
We accept resumes in any format, we suggest using PDF or plain text. These formats help ensure that your resume’s formatting remains intact, making it easier for our recruiters to review your application promptly.
Don’t meet every requirement for the role?
Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At Conga we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles.
Conga is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. We understand interviewing can be stressful for those with disabilities. If reasonable accommodation is needed to allow you to show us your best self, please let your recruiter know as soon as possible. All your information will be kept confidential according to EEO guidelines. Conga is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.
Conga's Applicant Privacy Statement
The information you provide during the application process will be used in accordance with Conga’s Applicant Privacy Statement (https://conga.com/applicant-privacy-statement). By submitting your application, you acknowledge and agree to the terms outlined in this privacy statement.
Skills Required
- More than 8 years of product management experience
- At least 5 years of experience with enterprise AI/ML products or intelligent automation platforms
- Experience leading 0-to-1 AI/ML product initiatives
- Understanding of large language models, prompt engineering, and agent architectures
- Knowledge of multi-agent orchestration, including tool calling, conditional logic, and agent collaboration patterns
- Experience addressing enterprise AI implementation challenges such as latency, accuracy, cost optimization, and hallucination mitigation
- Familiarity with RAG systems and vector databases
- Understanding of model fine-tuning, evaluation frameworks, and AI performance metrics
- Knowledge of agentic design patterns, including autonomous decision-making, tool use, self-configuration, and adaptive behavior
- Understanding of Model Context Protocol or similar agent communication frameworks
- Experience mentoring and developing product managers
- Proven track record defining and executing multi-quarter product strategies that drive revenue or market differentiation
- Executive presence with Fortune 500 customers and C-suite stakeholders
- Experience running customer discovery sessions and quantifying business impact
- Expertise in enterprise AI product implementation and deployment
- Experience developing customer implementation strategies that reduce time to value
- Understanding of configuration versus customization trade-offs in enterprise software
- Experience designing self-service and low-touch setup experiences for complex AI systems
- Mastery of product discovery techniques such as jobs-to-be-done, outcome-driven innovation, and continuous discovery
- Expertise writing detailed PRDs with success criteria, technical architecture, and launch strategies
- Strong product sense for AI UX/UI, conversational interfaces, trust indicators, explainability, and error handling
- Ability to balance accuracy, latency, cost, user experience, technical debt, innovation, and customer commitments
- Experience creating and delivering product training for sales, partners, and customer-facing teams
- Knowledge of contract lifecycle management workflows and contract data extraction challenges
- Familiarity with legal and compliance requirements for enterprise contract lifecycle management
- Knowledge of enterprise integration patterns, APIs, and data pipeline architectures
- Understanding of multi-tenant SaaS architecture and enterprise security and compliance requirements
Conga Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Conga and has not been reviewed or approved by Conga.
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Fair & Transparent Compensation — Key roles like sales and senior engineering are associated with strong total compensation and OTE ranges. Market positioning for similar postings is described as competitive for mid‑to‑senior roles in mid‑market SaaS.
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Healthcare Strength — U.S. medical coverage is offered through major carriers with HSA‑eligible options, prescription coverage, telehealth, and a health navigation resource. Company HSA contributions are available for eligible plans.
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Parental & Family Support — Paid parental leave is provided in the U.S. with meaningful bonding time. Inclusive family‑forming benefits are available through Carrot, covering adoption, surrogacy, fertility treatments, and pregnancy.
Conga Insights
What We Do
Conga crushes complexity within an increasingly complex world. With our revenue lifecycle management solution, we transform your unique complexities for order configuration, execution, fulfillment, and contract renewal processes with a single critical insights data model that adapts to ever-changing business requirements and aligns the understanding and efforts of every team. Our approach is grounded in the Conga Way, a framework of entrepreneurial spirit and achieving together to champion our 11,000+ customers. We’re committed to our customers and to removing complexity in an increasingly complex world. Our solutions quickly adapt to changing business models so you can normalize your revenue operations.
Why Work With Us
Under the leadership of our CEO, Noel Goggin, we're building an environment that fosters the natural attributes of Conganeers: curious, driven, gritty, creative, collaborative, caring, hard-working, servant oriented, humble, and honest. If you want to work hard and help create raving fans of our customers, we want you to join our global team!
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