Job Description
1. Analyze agent performance and user feedback in collaboration with Product Analysts to identify opportunities for immediate improvement.
2. Design and execute rapid experiments to enhance agent behavior, primarily through prompt engineering and adjustments to the agent’s knowledge base.
3. Manage and curate the content and data that fuel the agent’s responses, ensuring its knowledge is accurate, relevant, and effective.
4. Support the go-to-market (GTM) strategy for new AI agent features, from planning and coordination to launch and post-launch monitoring.
5. Collaborate closely with Product, Engineering, Data Science, and local teams to ensure a smooth rollout of new capabilities, providing clear business context to guide technical solutions.
6. Manage operational readiness for agent deployment, which includes training local teams, localizing knowledge bases, and defining clear operating procedures.
7. Gather and synthesize feedback from our markets and users to uncover friction points and inform the product improvement cycle.
Qualifications
8. 1-2 years of experience in a strategic role in a fast-paced environment such as a startup, scale-up, VC, or strategy consulting.
9. Exceptional problem-solving skills, with an ability to break down complex issues, form hypotheses, and test solutions quickly.
10. An execution-focused mindset with a proactive attitude and comfort navigating unstructured projects.
11. Comfortable with both understanding business needs and engaging with technical concepts.
12. Strong communication and collaboration skills, with the ability to align and work effectively with diverse stakeholders.
13. Good commercial sense and an ability to understand how product features create value for users and the business.
14. A genuine curiosity and passion for Artificial Intelligence and its practical applications.
15. An outstanding academic track record.
Nice to have:
16. Experience with data query languages (like SQL) and programming languages such as Python.
17. Experience working with product or data teams.