Doctrine

Account Manager

• You own your portfolio. Concretely, this means:
• Drive growth of a demanding, fast-expanding segment by identifying under-equipped or non-equipped departments
• Generate incremental ARR through targeted upsell and cross-sell strategies
• Secure account renewals and proactively anticipate churn before it occurs
• Build long-term relationships with users and decision-makers, up to the highest levels
• Navigate complex sales cycles in a competitive environment with method and tenacity
• Co-develop your strategy with BDRs and CSMs to maximize collective impact
• Act as the voice of your clients internally: surface their needs to Product and Tech teams to directly influence the roadmap

Key Account Manager

Machine Learning Engineer

• Develop NLP models (ML-based or rule-based) to support information retrieval and recommendation, particularly within legal documents.
• Maintain and monitor these models in production.
• Design conversational agents to accelerate lawyers’ work across different areas of law, ensuring accurate responses and assisting with drafting tasks.
• Collaborate with a range of profiles, including engineers, product managers, and product designers, to identify new product opportunities.
• Participate in internal knowledge sharing and consolidation of best practices; contribute to the development of our engineering strategy.

Senior Machine Learning Engineer

• Develop NLP models (ML-based or otherwise) to support information retrieval and recommendation, with a focus on legal documents.
• Maintain and monitor these models in production.
• Design conversational agents to accelerate lawyers’ work across different areas of law, ensuring accurate responses and supporting drafting tasks.
• Collaborate with diverse profiles, including engineers, product managers, and product designers, to identify new product opportunities.
• Participate in internal knowledge sharing and consolidation of best practices; contribute to the development of our engineering strategy.

Senior Machine Learning Engineer – Squad Maât

• Develop NLP models (machine learning-based and non-ML approaches) to support search and information recommendation within legal documents.
• Maintain and monitor these models in production.
• Design conversational agents to accelerate lawyers' work across different legal practice areas, ensuring accurate responses and facilitating drafting tasks.
• Collaborate with various profiles, including engineers, product managers, and product designers, to identify new product development opportunities.
• Share and consolidate internal best practices; contribute to shaping our Engineering strategy.

Senior Machine Learning Engineer – Access

Account Executive

• Full sales cycle management: qualify inbound leads, understand customer needs, present solutions, negotiate and close deals.
• Opportunity tracking: proactive use of the CRM and prioritization of opportunities.
• Cross-functional collaboration: work with Marketing, Product and Customer Success teams.
• Market knowledge development: maintain active market monitoring and propose sales initiatives.

Account Executive – SMB Inbound, Inside Sales

Full-stack Engineer

• Work closely with product designers and product managers to design the best possible user experiences
• Build reusable components used across all our product teams
• Develop products at the intersection of Web technologies and Machine Learning
• Help disseminate our internal best practices and actively contribute to our Engineering strategy

Fullstack Developer

Senior Fullstack Engineer – Squad Scribe

• Ensure the onboarding and training of new customers on our platform, guaranteeing an optimal user experience.
• Generate additional ARR and drive growth by addressing new client needs and strategically expanding accounts.
• Build strong relationships by being the main point of contact for your clients (users and decision-makers). Understand their needs and anticipate their business concerns.
• Prevent and minimize churn. Analyze relevant data to make the best recommendations, ensuring proper adoption and optimal usage of Doctrine.
• Customer feedback is precious. Collect and share client insights with internal technical and product teams to drive continuous improvement. Encourage client participation in case studies, testimonials, presentations, and events.