Senior Product Engineer, Cresta Labs

About the role:

Cresta Labs is a small, high-ownership team focused on exploring and building the next generation of AI-native product experiences.

The team works at the intersection of product engineering, applied AI, user research, and design. We move quickly from customer problems to prototypes, validate ideas with real users, and help turn the strongest concepts into scalable product experiences.

You will work across the full product development loop: identifying user needs, designing product concepts, building working prototypes, evaluating quality, and partnering with product and engineering teams to bring the best ideas into production.

This is a hands-on builder role for someone who enjoys ambiguity, cares deeply about product quality, and wants to shape how AI agents are built and improved in real world enterprise environments.

What You'll Do

• Build zero-to-one AI product experiences from early concept through prototype, validation, and productionization.
• Work with users, product managers, designers, researchers, engineers, and customer-facing teams to identify high-impact opportunities.
• Translate ambiguous customer needs and product ideas into clear workflows, interfaces, and technical designs.
• Build and improve AI agent development, testing, evaluation, monitoring, and optimization workflows.
• Use product data, user feedback, and evaluation results to understand what is working and what needs to improve.
• Create clear demos, product notes, technical docs, and recommendations that help teams align and move faster.
• Help define the product and technical bar for AI-native experiences at Cresta.

What We're Looking For

• 5+ years as a software/ML engineer on user-facing systems with strong full-stack engineering skills.
• Experience building and shipping products or major features with significant end-to-end ownership.
• Hands-on experience with LLMs, AI agents, AI workflows or applied ML products.
• Strong product judgment and the ability to simplify complex technical ideas into intuitive user experiences.
• Comfort working in ambiguous problem spaces where the right answer is not yet obvious.
• Ability to move quickly from idea to prototype while maintaining strong engineering rigor.
• Strong communication skills, especially when explaining technical concepts to cross-functional audiences.

Bonus Points

• Experience designing and building evaluation and testing frameworks for machine learning systems
• A practical approach to validation, including user research, instrumentation, metrics, and evaluation.
• Previous experience in a startup or fast-paced product environment