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Senior Product Engineer, Cresta Labs

1 month, 2 weeks ago
United States
Full-time
Senior
Full-stack Engineer
Software Development
LLM Machine Learning Prototyping
Apply Now
Cresta

Cresta

Cresta AI provides generative AI solutions for intelligent contact centers, offering self-service, live coaching, and post-call insights. Their technology empowers sales and customer service teams to enhance customer interactions, boost revenue, and im...

Professional Services
51-250
Founded 2017
$151M raised
View All Jobs 12

Description

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

Benefits

  • Comprehensive medical, dental, and vision coverage for employees and families.
  • Flexible PTO.
  • Paid parental leave for all new parents.
  • Retirement savings plan.
  • Remote work setup budget.
  • Monthly wellness and communication stipend.
  • In-office meal program and commuter benefits for onsite employees.
  • Competitive location-based base salary with equity and a comprehensive benefits package.

Interested in this position?

Apply directly on the company website

Apply Now

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