Senior Product Engineer, Cresta Labs

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage.

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.

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.

Responsibilities:

• 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.

Requirements:

• 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.

Perks & Benefits:

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family.
• Flexible PTO to take the time you need, when you need it.
• Paid parental leave for all new parents welcoming a new child.
• Retirement savings plan to help you plan for the future.
• Remote work setup budget to help you create a productive home office.
• Monthly wellness and communication stipend to keep you connected and balanced.
• In-office meal program and commuter benefits provided for onsite employees.