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.

Education Requirements:

• A Bachelor’s degree in a related field is a plus

Experience Requirements:

• Proven SDR/ sales experience in the AI industry (a plus)

• A talent for building and maintaining long-lasting client relationships

Responsibilities:

• Developing and executing a strategy to identify and generate qualified leads through a multi-channel approach

• Building and maintaining strong client relationships

• Demonstrating a good grasp of knowledge around the benefits of AI and why Quench is the solution

• Collaborating with the sales team and management to develop and implement winning sales strategies

• Collaborating with the tech team to ensure a good feedback loop is in place from prospects and customers.

Benefits:

• Share Option!

• Flexible working!

• Annual Leave!

• Annual off-site

• Purpose driven!

Experience Requirements:

• 5+ years of experience in sales, business development, or growth roles, ideally in SaaS, AI, or technology-driven sectors, with a track record of exceeding revenue targets.

Responsibilities:

• Source, drive and build a robust sales pipeline through proactive prospecting, outreach, and networking in new markets, targeting key accounts and high-value leads.

• Establish and nurture strategic partnerships with potential clients, channel partners, and industry influencers to accelerate business growth and market penetration.

• Lead the charge in identifying new market opportunities and ideal customer accounts, craft go-to-market strategies and execute plans to expand our presence across the U.S.

• Lead and manage the full sales cycle from lead generation to closing, ensuring consistent progress, forecasting, and achieving monthly/quarterly revenue targets.

• Work with Customer Success Lead to cultivate long-term relationships with clients, ensuring satisfaction, repeat business, and continuous value creation through consultative selling and tailored solutions.

Benefits:

• Share options via tax efficient EMI scheme

• Private medical + dental insurance

• L&D Budget

• Enhanced parental & maternity leave

• Pension scheme

Education Requirements:

• Relevant degree: Computer Science, Mathematics, Engineering, STEM.

Experience Requirements:

• Previous experience working with complex algorithms and data structures

• Experience in building well-tested code for production and a demonstrable history of advocating for software quality and evangelising best practices.

• Experience with leading the process from ideation to production for brand new software systems.

• Experience working with cloud computing (AWS preferred, but any provider is fine.)