Senior Product Engineer, Cresta Labs

About the role

Cresta Labs is an agile, high-ownership unit dedicated to designing and developing the next generation of AI-native products. You will operate at the intersection of user research, applied AI, and engineering to transform early concepts into scalable, production-ready solutions.

Key facts

What you'll do

• Develop AI product experiences from initial concept through prototyping, validation, and production.
• Collaborate with product managers, designers, researchers, and engineers to uncover high-impact opportunities.
• Convert ambiguous customer requirements into functional workflows, user interfaces, and technical architectures.
• Construct and refine workflows for AI agent development, including testing, monitoring, and performance optimization.
• Analyze product data and user feedback to iterate on features and improve system performance.
• Produce technical documentation, product notes, and demos to align cross-functional teams.
• Establish the technical and product quality standards for AI-native features at the company.

Requirements

• 5+ years of experience as a software or machine learning engineer working on user-facing systems.
• Proven track record of shipping major features or products with full end-to-end ownership.
• Practical experience working with LLMs, AI agents, AI workflows, or applied ML.
• Ability to distill complex technical concepts into intuitive user experiences.
• Comfort navigating ambiguous problem spaces where solutions are not clearly defined.
• Proficiency in rapid prototyping while maintaining high engineering standards.
• Strong ability to communicate technical concepts to diverse, cross-functional stakeholders.

Nice to have

• Experience creating evaluation and testing frameworks for machine learning systems.
• A practical approach to validation using user research, instrumentation, and metrics.
• Background working in startup environments or fast-paced product organizations.

Skills & tools

• Full-stack engineering
• LLMs and AI agents
• Machine learning workflows
• Product design and user research

Practical notes

• The hiring process begins with a self-paced CoderPad technical assessment following your resume review.
• Benefits include medical, dental, and vision coverage, flexible PTO, paid parental leave, and a retirement savings plan.
• The company provides a remote work setup budget and a monthly wellness and communication stipend.
• Official recruiting communications only originate from the @cresta.ai domain. Verify any suspicious outreach by contacting recruiting@cresta.ai.