Job Description
We are looking for a (Senior) Product Manager (Agentic Discovery) to lead the charge in redefining how users find and interact with our marketplace through conversational search and AI agents. In this highly experimental and fast-moving role, you will collaborate with leadership, tech, and design to build a delightful agent-led experience from the ground up. You will be responsible for shaping product strategy, launching rapid experiments, and translating cutting-edge AI capabilities into tangible consumer value.
1. Shape the Agentic Product Experience: Help drive the transition from traditional search to conversational discovery, defining how agents solve complex user intents.
2. Rapid Prototyping & Evaluations: Partner with Tech to build agentic workflows, evaluations, and guardrails in a fast-moving, experimental environment.
3. Define New Success Metrics: Establish frameworks for measuring agent performance in a non-deterministic world, focusing on conversational quality, accuracy, and user delight.
4. Cross-Functional Alignment: Collaborate with leadership, tech and design to turn ambiguous AI capabilities into a cohesive, high-impact product experience.
At Delivery Hero, you’ll shape the global consumer experience for millions of users. Your work will have a direct impact on how we attract and retain customers, creating data-driven, personalized interactions that keep them coming back. As part of our Consumer Team, you’ll enhance customer satisfaction and drive global growth and profitability through innovative projects.
Qualifications
5. 3–5 years experience in Product Management or equivalent, in a startup or fast-moving environment
6. Extreme ownership & bias for action: You are a self-starter with a growth mindset and can operate in high ambiguity situations
7. Expertise in rapid prototyping, A/B testing and making decisions based on user feedback
8. Experience using, building & launching AI-driven products
9. Ability to translate complex technical concepts into clear strategies for stakeholders and leadership
Nice to Have:
10. Experience with evaluation & measurement of AI-driven products
11. SQL or hands-on analytics experience
12. Experience working on consumer products with millions of users