Applied AI Specialist, Commercial Customer Success

Responsibilities

• Design and build AI agent architectures using Python
• Establish success metrics and create automated testing frameworks
• Manage deployment plans, including versioning and rollback strategies
• Monitor real-time performance of AI agents and detect issues proactively
• Iterate on agent design based on product evolution and real-world performance data
• Champion cultural principles of the company within the team
• Develop and deliver agent solutions that improve customer outcomes

Qualifications

• 5+ years of experience with production LLM-based agents or automations
• Proficiency in Python with the ability to connect AI to external systems
• Ability to define success criteria and evaluation frameworks prior to building
• Genuine interest in Customer Success workflows and solving customer issues
• Intellectual honesty about AI's capabilities and designing effective guardrails
• 3+ years of software engineering or technical experience in a B2B SaaS environment
• Experience working hands-on with LLMs or AI agents in production

Benefits

• Flexible, employee-led remote working model
• Professional development stipend
• Comprehensive health and parental leave plans
• Above-market compensation including performance-based bonuses and equity options
• Supportive work environment focused on collaboration and growth