Benefits:

• Stock options (based on seniority level)

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave Wellness Coverage Referral bonus program

Responsibilities:

• Design, test, and refine LLM prompts to optimize response quality, consistency, and accuracy.

• Experiment with prompt structures, context injection, and retrieval-augmented generation (RAG) to improve model outputs.

• Develop prompt evaluation frameworks, incorporating quantitative and qualitative assessments.

• Analyze AI responses for hallucinations, biases, inconsistencies, and improve prompt structures accordingly.

• Collaborate with AI engineers, product managers, and UX designers to align AI-generated outputs with business and user needs.

Benefits:

• Stock options (based on seniority level)

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave Wellness Coverage Referral bonus program

Responsibilities:

• Own the end-to-end LLM pipeline, ensuring scalability, maintainability, and documentation.

• Design and optimize LLM inference pipelines for production, ensuring scalability and reliability.

• Profile and optimize model performance based on speed, cost, and compute resource utilization.

• Work with cloud-based AI services (AWS, GCP, Azure) to manage compute resources efficiently.

• Monitor and log model performance, identifying areas for optimization.

Benefits:

• Stock options (based on seniority level)

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave Wellness Coverage Referral bonus program

Responsibilities:

• Develop and execute AI model evaluation strategies, ensuring accuracy, consistency, and fairness.

• Implement automated and manual testing for LLM-based applications.

• Collaborate with the AI Engineer to integrate testing into early-stage development.

• Build and manage test datasets, ensuring high-quality, diverse, and balanced samples.

• Develop synthetic data pipelines to enhance model evaluation.

Benefits:

• Stock options (based on seniority level)

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave Wellness Coverage Referral bonus program

Responsibilities:

• Design and implement large-scale features across both front-end and back-end systems

• Collaborate with product managers, designers, and engineers to translate business requirements into effective solutions

• Write high-quality, maintainable code that meets industry best practices

• Troubleshoot and resolve issues to ensure a seamless user experience

• Build and maintain scalable web applications using React and Node.js

Benefits:

• Stock options (based on seniority level)

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave Wellness Coverage Referral bonus program

Responsibilities:

• Take ownership of end-to-end behavioral and product analytics solutions, from requirement gathering to delivery, ensuring insights are closely aligned with business and product needs.

• Drive a deep understanding of product performance and user behavior through innovative analytics approaches.

• Design and develop detailed reports and dashboards that enable data-driven decision-making across the organization, with a focus on actionable insights for product and business teams.

• Actively contribute to making the insights function work effectively by both:

• Providing proactive insights from data to product teams to influence decision-making.

Benefits:

• Stock options (based on seniority level)

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave Wellness Coverage Referral bonus program

Responsibilities:

• Contribute to our existing Data Infrastructure

• Design and implement scalable data pipelines and ETL processes

• Participate in Data Warehouse creation and maintenance

• Develop data interfaces for downstream users

• Optimize existing data pipelines

Benefits:

• Stock options (based on seniority level)

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave Wellness Coverage Referral bonus program

Responsibilities:

• Plan and execute product launches, ensuring alignment across product, marketing, and sales teams.

• Own product communication across the entire lifecycle, tailoring messaging for different audiences and marketing channels, including email, website, and in-app experiences.

• Develop sales and marketing enablement materials such as pitch decks, battle cards, and case studies to support sales and marketing efforts.

• Conduct market and competitive research to analyze industry trends, competitors, and customer insights to refine strategies.

• Drive Krisp’s AI Meeting Assistant positioning and messaging to highlight differentiation and customer value.