Develop a deep understanding of client context and Qventus capabilities to identify high-leverage opportunities for rapid impact with bespoke AI Operational Assistant workflows
Responsible for the design, execution, and optimization of bespoke AI Operational Assistant use cases at the client
Technical Implementation
Leverage LLM-based AI (GPT, Claude, Gemini, LLaMA, etc.) to build advanced conversational systems.
Apply conversation modeling techniques like state machines, decision trees, and graph-based flows.
Use frameworks such as Dialogflow, Rasa, Amazon Lex, Langchain, or similar tools.
Collaborate with backend teams to integrate bots with APIs, CRMs, and enterprise systems.
Enhance bot functionality with custom scripts, API calls, and external system integrations.
Optimization, Testing & Maintenance
Continuously tune and improve intent recognition and response quality using real user data.
Monitor and resolve conversation breakdowns, mismatches, and fallback issues.
Develop and run unit, regression, and A/B tests to ensure conversational performance.
Implement real-time monitoring, analytics, and logging to drive performance insights.
Collaboration & Documentation
Shape client use cases in partnership with the AI Solution Consultant
Collaborate closely with Qventus architects, engineers, and data scientists, as well as client end-users and IT teams to define and refine product requirements
Work closely with software engineers and data scientists to refine LLM integration and behavior.
Document conversation logic, prompt structures, and decision workflows for scalability and maintainability.
Mentor and support cross-functional teammates across forward-deployed client team

Requirements

5+ years of experience and proven track record in product management or solution architect roles
Strong communicator with the ability to influence and collaborate across all levels
Hands-on experience with agentic design and prompt engineering + architecture
Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar
A go-to expert on emerging LLM technologies
High customer empathy and passion for real-world impact and solving meaningful problems
Self-starter, confident in troubleshooting complex systems issues independently
Ability to work with a high level of autonomy and responsibility in a rapidly changing environment with dynamic objectives and iteration with users
Demonstrated ability to collaborate effectively in teams of technical and non-technical individuals, and comfortable working in a rapidly changing environment with dynamic objectives and iteration with users.
Ability to travel as needed to client sites (expected 25-50%)

Benefits

Open Paid Time Off
Paid parental leave
Professional development
Wellness and technology stipends
Generous employee referral bonus
Employee stock option awards

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJavaC++TypeScriptJavaScriptLLM technologiesagentic designprompt engineeringconversation modelingAPI integration

Soft Skills

strong communicatorinfluencecollaborationcustomer empathyself-startertroubleshootingautonomyresponsibilityteam collaborationadaptability