Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor’s Degree.

Experience Requirements:

• 1+ years of experience in a Business Development or Sales Development role at a high-growth SaaS or tech company.

• Experience with Salesforce, Outreach, Zoominfo, etc.

• Willingness to engage in a high volume of outbound calling and emailing activities daily.

• Self-motivated with the ability to thrive in a fast-paced, high-growth environment within a distributed workforce.

Responsibilities:

• Educate the Market–Most companies don’t realize AI can prevent injuries. You’ll be the first to tell them.

• Own outbound prospecting—research, identify, and engage key prospects to build a high-value sales pipeline.

• Break through the noise—use creative, multi-channel outreach (cold calls, emails, LinkedIn) to grab attention and drive conversations.

• Engage top decision-makers—connect with leaders in safety, operations, and risk management to uncover pain points and spark interest.

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.

Education Requirements:

• BA/BS degree or equivalent experience.

Experience Requirements:

• A minimum of 5 years in customer-facing roles in SaaS, with at least 3 years of experience in technical consulting, technical account management, or solutions engineering.

• Ideally, you have experience with AI/Machine Learning/NLP technologies and are familiar with Helpdesks and CRMS like Zendesk, Salesforce, Kustomer, and others.

Responsibilities:

• Technical Product Enablement: Provide technical guidance to customers on our AI solutions, including demonstrating capabilities, advising on best practices, and helping customers integrate and maximize value.

• Solution Delivery & Scoping: Lead scoping sessions with customers to collect business requirements and work cross-functionally to ensure the delivery of the right technical solutions.

• Collaborative Leadership: Collaborate closely with internal teams (Sales, Implementation, Engineering, Product) to ensure smooth execution of customer solutions, from pre-sales to deployment.

• Thought Leadership: Become a trusted advisor, sharing knowledge and best practices to promote AI adoption and usage.

• Customer Advocate: Champion customer needs within Forethought, ensuring that customer feedback directly influences our product and service strategies.

Education Requirements:

• BA/BS degree or equivalent experience.

Experience Requirements:

• A minimum of 5 years in customer-facing roles in SaaS, with at least 3 years of experience in technical consulting, technical account management, or solutions engineering.

• Ideally, you have experience with AI/Machine Learning/NLP technologies and are familiar with Helpdesks and CRMS like Zendesk, Salesforce, Kustomer, and others.

Responsibilities:

• Technical Product Enablement: Provide technical guidance to customers on our AI solutions, including demonstrating capabilities, advising on best practices, and helping customers integrate and maximize value.

• Solution Delivery & Scoping: Lead scoping sessions with customers to collect business requirements and work cross-functionally to ensure the delivery of the right technical solutions.

• Collaborative Leadership: Collaborate closely with internal teams (Sales, Implementation, Engineering, Product) to ensure smooth execution of customer solutions, from pre-sales to deployment.

• Thought Leadership: Become a trusted advisor, sharing knowledge and best practices to promote AI adoption and usage.

• Customer Advocate: Champion customer needs within Forethought, ensuring that customer feedback directly influences our product and service strategies.

Education Requirements:

• BA/BS degree or equivalent experience.

Experience Requirements:

• A minimum of 5 years in customer-facing roles in SaaS, with at least 3 years of experience in technical consulting, technical account management, or solutions engineering.

• Ideally, you have experience with AI/Machine Learning/NLP technologies and are familiar with Helpdesks and CRMS like Zendesk, Salesforce, Kustomer, and others.

Responsibilities:

• Technical Product Enablement: Provide technical guidance to customers on our AI solutions, including demonstrating capabilities, advising on best practices, and helping customers integrate and maximize value.

• Solution Delivery & Scoping: Lead scoping sessions with customers to collect business requirements and work cross-functionally to ensure the delivery of the right technical solutions.

• Collaborative Leadership: Collaborate closely with internal teams (Sales, Implementation, Engineering, Product) to ensure smooth execution of customer solutions, from pre-sales to deployment.

• Thought Leadership: Become a trusted advisor, sharing knowledge and best practices to promote AI adoption and usage.

• Customer Advocate: Champion customer needs within Forethought, ensuring that customer feedback directly influences our product and service strategies.

Education Requirements:

• BA/BS degree or equivalent experience.

Experience Requirements:

• A minimum of 5 years in customer-facing roles in SaaS, with at least 3 years of experience in technical consulting, technical account management, or solutions engineering.

• Ideally, you have experience with AI/Machine Learning/NLP technologies and are familiar with Helpdesks and CRMS like Zendesk, Salesforce, Kustomer, and others.

Responsibilities:

• Technical Product Enablement: Provide technical guidance to customers on our AI solutions, including demonstrating capabilities, advising on best practices, and helping customers integrate and maximize value.

• Solution Delivery & Scoping: Lead scoping sessions with customers to collect business requirements and work cross-functionally to ensure the delivery of the right technical solutions.

• Collaborative Leadership: Collaborate closely with internal teams (Sales, Implementation, Engineering, Product) to ensure smooth execution of customer solutions, from pre-sales to deployment.

• Thought Leadership: Become a trusted advisor, sharing knowledge and best practices to promote AI adoption and usage.

• Customer Advocate: Champion customer needs within Forethought, ensuring that customer feedback directly influences our product and service strategies.

Benefits:

• Share Options!

• Flexible working!

• Annual Leave!

• Annual off-site

• Purpose driven!

Experience Requirements:

• 8+ years of experience in software engineering, including technical leadership and team management.

• Proven experience scaling engineering teams in a fast-paced startup environment.

• Deep expertise in backend development (Python preferred), cloud infrastructure (GCP/AWS), and system design.

• Strong understanding of modern software development best practices, including CI/CD, containerization, observability, and microservices.

• Experience working closely with Product teams to align technical decisions with business priorities.

Responsibilities:

• Own the technical strategy for the team's scope, ensuring scalability, performance, and security.

• Lead the architecture and design of backend systems, APIs, and infrastructure to support rapid growth.

• Collaborate closely with the VP of Engineering & Product to align technical decisions with business goals.

• Ensure technical excellence by championing best practices, high code quality, and operational excellence.

• Lead, manage, and mentor a high-performing engineering team, fostering a culture of learning, innovation, and accountability.