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Conga

Staff Product Manager (AI Engineering)

Conga · Bulgaria

Posted 21 days ago

or apply directly on Conga's site. We never take the application ourselves.

Is this posting real?

This role has been open
21 days
Conga's roles stay open a median of 45 days
Reposted
No
Salary listed
No
0% of Conga's roles list one
Ghost-job risk at Conga
high
24 stale, 5 reposted of 43 open
Hiring momentum
77 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Conga's own greenhouse board since 2026-08-03. Full hiring picture for Conga.

About this role

As a Staff Product Manager at Conga, you will lead the strategic vision and execution for the Discovery Agent, focusing on enhancing its AI capabilities from template-based extraction to autonomous functions. Your role will involve defining product strategies, mentoring other product managers, and collaborating with enterprise customers to address their needs in contract management. You will also tackle AI implementation challenges and influence product standards across teams.

Our read on this posting3.0out of 5
benefits
1/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Conga as an employer.

What you need

  • More than 8 years of experience in Product management
  • 5+ years in enterprise AI/ML products or intelligent automation platforms
  • Experience leading 0-to-1 product initiatives in AI/ML
  • Understanding of Large Language Models (LLMs), prompt engineering, and agent architectures
  • Knowledge of multi-agent orchestration and AI implementation challenges at enterprise scale
  • Familiarity with RAG (Retrieval-Augmented Generation) systems and vector databases

Nice to have

  • Knowledge of contract lifecycle management (CLM) workflows and pain points
  • Understanding of contract data extraction challenges
  • Familiarity with legal and compliance requirements for Enterprise CLM
  • Strong knowledge of enterprise integration patterns, APIs, and data pipeline architectures
  • Understanding of multi-tenant SaaS architecture and enterprise security/compliance requirements

Worth weighing

  • No salary listed
  • Role involves high-impact responsibilities with significant influence across the organization
  • Focus on AI/ML technologies may require continuous learning and adaptation to new developments in the field

Summarised from Conga's posting. Read the full original.

Listed by Conga on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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