AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Director of Sales - West
Voxel’s site intelligence platform empowers safety and operations leaders to make strategic decisions with its video-based AI site visibility platform.
Benefits:
Daily lunch provided for in-office employees.
Paid Parental Leave Policy.
Company events, including an annual onsite gathering for the entire team, team-specific events throughout the year, and regular small office events such as happy hours, ultimate frisbee games, and escape rooms.
Health, dental, and vision coverage.
Unlimited paid-time off.
Education Requirements:
Bachelor’s degree in a relevant field.
Experience Requirements:
At least 5 years of experience in technology sales, with a focus on sectors like EHNS platforms, Business Insights tools, or related areas in the risk management industry.
Strong skills in account mapping and multi-threaded pursuits in large enterprises.
Proficiency in Salesforce is crucial.
A consistent history of meeting or exceeding sales targets.
Responsibilities:
Spearhead new business development initiatives, focusing on establishing and nurturing client relationships.
Target and manage a list of 25 key regional accounts, alongside ICP inbound opportunities.
Implement account mapping and multi-threaded pursuit strategies for large enterprise penetration.
Utilize Salesforce for comprehensive commercial operations management.
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Prompt Engineer
Krisp is an AI-powered tool that removes background noise and offers voice enhancement features for clearer communication during online meetings and calls.
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.
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Senior AI Engineer – LLM Pipelines & Automation
Krisp is an AI-powered tool that removes background noise and offers voice enhancement features for clearer communication during online meetings and calls.
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.
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Senior AI QA Engineer
Krisp is an AI-powered tool that removes background noise and offers voice enhancement features for clearer communication during online meetings and calls.
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.
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Senior Full Stack Engineer
Krisp is an AI-powered tool that removes background noise and offers voice enhancement features for clearer communication during online meetings and calls.
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
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Lead Data Analyst
Krisp is an AI-powered tool that removes background noise and offers voice enhancement features for clearer communication during online meetings and calls.
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.
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Data Engineer
Krisp is an AI-powered tool that removes background noise and offers voice enhancement features for clearer communication during online meetings and calls.
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
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Product Marketing Manager
Krisp is an AI-powered tool that removes background noise and offers voice enhancement features for clearer communication during online meetings and calls.
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.
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Sales Development Representative
Taia is an AI-powered localization platform offering fast, accurate translations. It combines AI with human expertise to translate any content easily, and streamline the localization process with transparent pricing and various service levels.
Benefits:
competitive pay (fixed plus commission)
dynamic environment that embraces freedom and autonomy
values team spirit and open communication
great career development opportunities
flexible working hours and remote location options
Experience Requirements:
B2B sales (added value)
affinity or experience within the translation and localization industry
Responsibilities:
prospect sales opportunities for the Key Account Manager to convert
work with our in-house CRM (Pipedrive) and our lead generation database software
communicate across various channels with prospects including cold calling, email communication, and via social media platforms to raise brand awareness
work closely with the KAM to create individual sales and marketing campaigns
shadow the KAM on the leads you pass on, to learn the selling process from start to end.
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Customer Success Manager
Forethought is an AI platform transforming customer service. It offers Solve, Triage, Assist, and Discover to streamline CX, maximize ROI, and improve agent productivity and customer retention.
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.
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Customer Success Manager
Forethought is an AI platform transforming customer service. It offers Solve, Triage, Assist, and Discover to streamline CX, maximize ROI, and improve agent productivity and customer retention.
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.
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Customer Success Manager
Forethought is an AI platform transforming customer service. It offers Solve, Triage, Assist, and Discover to streamline CX, maximize ROI, and improve agent productivity and customer retention.
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.
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Customer Success Manager
Forethought is an AI platform transforming customer service. It offers Solve, Triage, Assist, and Discover to streamline CX, maximize ROI, and improve agent productivity and customer retention.
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.
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Implementation Engineer
Forethought is an AI platform transforming customer service. It offers Solve, Triage, Assist, and Discover to streamline CX, maximize ROI, and improve agent productivity and customer retention.
Education Requirements:
Bachelor's degree in Computer Science, Information Technology, Business Administration, or related field.
Experience Requirements:
Proven experience in technical consulting, implementation, or deployment roles within the SaaS industry.
Strong understanding of software deployment methodologies, system integration, and configuration best practices.
Experience working with customer support tools such as ZenDesk, SalesForce, Shopify, or similar platforms is preferred but not essential.
Responsibilities:
Lead the installation, configuration, and deployment of our solution according to client specifications and project timelines.
Conduct thorough assessments of client systems, workflows, and integrations to ensure seamless integration with our platform.
Work closely with clients to provide guidance, training, and support during the implementation process, ensuring a smooth transition and adoption of our solution.
Troubleshoot technical issues and resolve challenges encountered during the implementation phase, escalating to internal teams as needed.
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DevOps Engineer
E42 is an AI-powered intelligent enterprise process automation platform that allows you to build and deploy AI co-workers to handle complex tasks across industries and functions.
Experience Requirements:
0 - 2 years
Responsibilities:
Install and configure Linux Systems
Work on Kubernetes cluster creation and management
Assist developers to setup their Kubernetes environment
Responsible for containerizing applications
Perform system maintenance Create system backups Monitor system performance Monitor running services on system Experience of installing any web server or maintenance of web server Experience of handling any publicly accessible server (application that is hosted on this server) Provide technical support and guidance Maintain security and compliance for our infrastructure within the parameters set forth by our security team Troubleshoot and resolve issues related to our technologies Automate tasks that will increase the efficiency and velocity of our daily workflow
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Full-Stack Developer
E42 is an AI-powered intelligent enterprise process automation platform that allows you to build and deploy AI co-workers to handle complex tasks across industries and functions.
Experience Requirements:
2-5 years
Responsibilities:
Design, develop, and maintain scalable full-stack applications
Develop robust back-end services and APIs using Python frameworks like Django (DRF), FastAPI good to have
Implement and manage databases including MySQL, PostgreSQL, or MongoDB
Basic front-end collaboration: Work alongside UX team to implement designs in React, ensuring the final product matches our vision
Design user-centric interfaces: Create visually appealing and highly functional user interfaces that enhance the user experience Collaborate with cross-functional teams: Work with product managers, developers, and other stakeholders to understand project requirements and translate them into design solutions Prototyping & wireframing: Develop wireframes, prototypes, and mockups to communicate design concepts effectively with the help of UX team Design system management: Contribute to and maintain our design system to ensure consistency across product. User research: Conduct user research and testing to gather feedback and iterate on designs for continuous improvement Optimize applications for maximum performance, scalability, and security Write clean, maintainable, and well-documented code Troubleshoot, debug, and enhance existing systems
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Business Development Executive—US
E42 is an AI-powered intelligent enterprise process automation platform that allows you to build and deploy AI co-workers to handle complex tasks across industries and functions.
Experience Requirements:
2-5 years
Responsibilities:
Engage in high-volume outbound sales activity to meet and exceed monthly and quarterly targets
Conduct targeted outreach to potential clients through various channels, including email, phone calls, and LinkedIn Act as the initial point of contact with prospective clients and effectively deliver the E42 value proposition Qualify leads through strategic questioning and active listening to understand their business objectives and potential use of E42’s platform Establish and nurture relationships with key decision-makers within target organizations Work collaboratively with the sales team to develop targeted campaigns and manage a large portfolio of target accounts Maintain a high level of energy and enthusiasm in all interactions Become a subject matter expert on our business products, processes, and operations and remain up to date on industry news
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QA Engineer
E42 is an AI-powered intelligent enterprise process automation platform that allows you to build and deploy AI co-workers to handle complex tasks across industries and functions.
Experience Requirements:
2 – 4 years
Responsibilities:
Design, develop, and execute test cases for functional, integration, and regression testing
Design and develop the test automation framework Constantly evaluate the test automation strategy and approach to identify areas of improvement (i.e., test automation frameworks, coding standards, etc.) Build and maintain efficient test frameworks and pipelines for performance, stress, and integration tests Closely coordinate with the delivery team and share detailed test reports, communicate test progress, risks, including defect reports and test execution summaries Govern the adherence to the quality practices and address any impediments Designing methods for the creation of effective test data Identify what tools and technologies can be implemented, aligning with that already used across the broader development function and in-line with the skillset of the team Possess broad awareness of testing approaches, practices, and techniques to help design and deliver the overall testing methodology used by the team Perform usability testing to evaluate the user experience of the application Participate in planning, grooming, and review meetings and ensure adherence to QA best practices and contribute to continuous improvement initiatives
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AI Data Engineer
AI tool to generate product photos and videos, replacing traditional photoshoots with instant, studio-quality visuals at a fraction of the cost.
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AI Data Engineering Lead
AI tool to generate product photos and videos, replacing traditional photoshoots with instant, studio-quality visuals at a fraction of the cost.
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