As a Customer Enablement Manager at Mindtickle, you will play a crucial role in partnering with customers to create impactful enablement programs that drive adoption, retention, and success. Your responsibilities will include: - Enable customers to self-serve effectively, improve product adoption, and enhance customer satisfaction & advocacy. - Own the end-to-end enablement journey for customers, ensuring alignment with their business objectives and success metrics. - Represent the Enablement function in customer-facing engagements and serve as a trusted advisor. - Champion best practices in customer enablement, stay updated on industry trends, and contribute to building a customer-obsessed culture. - Partner with Customer Success Managers and Sales leadership to develop scalable enablement strategies and track success using appropriate metrics. - Utilize data analytics, customer feedback, and performance data to continuously enhance enablement approaches and demonstrate ROI. - Collaborate closely with Product, Marketing, Sales, and Support teams to ensure consistency in messaging, training content, and customer communication. - Proactively manage internal and external stakeholders throughout enablement program lifecycles. - Balance multiple projects and customer needs, making informed prioritization decisions without compromising quality or impact. Qualifications required for this role include: - 5+ years of experience in Customer enablement, customer marketing, GTM strategy consulting, program management, and customer success. - Strong program management skills, exceptional communication, and stakeholder management capabilities. - High attention to detail, strong analytical and problem-solving skills, and a mindset of continuous learning and improvement. Preferred Qualifications: - Experience in SaaS, particularly in Sales Enablement or Revenue Operations platforms. - Familiarity with tools like Salesforce, Mindtickle, or other enablement platforms. - Exposure to global customer environments and cross-cultural communication. At Mindtickle, we prioritize creating an engaging and rewarding workplace that offers numerous growth opportunities. Our culture values diversity, commitment to customers, teamwork, and excellence. We are proud to be an Equal Opportunity Employer. In compliance with applicable laws, all hired individuals will be required to verify identity and eligibility to work in their respective locations. As a Customer Enablement Manager at Mindtickle, you will play a crucial role in partnering with customers to create impactful enablement programs that drive adoption, retention, and success. Your responsibilities will include: - Enable customers to self-serve effectively, improve product adoption, and enhance customer satisfaction & advocacy. - Own the end-to-end enablement journey for customers, ensuring alignment with their business objectives and success metrics. - Represent the Enablement function in customer-facing engagements and serve as a trusted advisor. - Champion best practices in customer enablement, stay updated on industry trends, and contribute to building a customer-obsessed culture. - Partner with Customer Success Managers and Sales leadership to develop scalable enablement strategies and track success using appropriate metrics. - Utilize data analytics, customer feedback, and performance data to continuously enhance enablement approaches and demonstrate ROI. - Collaborate closely with Product, Marketing, Sales, and Support teams to ensure consistency in messaging, training content, and customer communication. - Proactively manage internal and external stakeholders throughout enablement program lifecycles. - Balance multiple projects and customer needs, making informed prioritization decisions without compromising quality or impact. Qualifications required for this role include: - 5+ years of experience in Customer enablement, customer marketing, GTM strategy consulting, program management, and customer success. - Strong program management skills, exceptional communication, and stakeholder management capabilities. - High attention to detail, strong analytical and problem-solving skills, and a mindset of continuous learning and improvement. Preferred Qualifications: - Experience in SaaS, particularly in Sales Enablement or Revenue Operations platforms. - Familiarity with tools like Salesforce, Mindtickle, or other enablement platforms. - Exposure to global customer environments and cross-cultural communication. At Mindtickle, we prioritize creating an engaging and rewarding workplace that offers numerous growth opportunities. Our culture values diversity, commitment to customers, teamwork, and excellence. We are proud to be an Equal Opportunity Employer. In compliance with applicable laws, all hired individuals will be required to verify identity and eligibility to work in their respective locations.
As a Software Engineer or SDET at Mindtickle, you will have the exciting opportunity to design, build, and maintain scalable automation frameworks to ensure consistent product quality. You will be responsible for developing comprehensive automated test suites, improving CI/CD pipelines, and building scalable testing systems for reliable and repeatable releases. Your role will involve working on test automation frameworks to qualify AI-driven features, testing LLM-powered features, and maintaining evaluation frameworks to measure quality and accuracy. Key Responsibilities: - Design, build, and maintain scalable automation frameworks for project qualification pre- and post-release - Develop comprehensive automated test suites and improve CI/CD pipelines - Build scalable testing systems, generate test data, and ensure ongoing quality through automated regression and synthetic monitoring - Work on test automation frameworks to qualify AI-driven features and LLM-powered features - Develop and maintain evaluation frameworks to measure quality, accuracy, relevance, bias, and hallucination rates - Conduct robustness, safety, and adversarial testing for AI systems - Improve quality engineering aspects and Developer Experience (DevEx) - Collaborate closely with developers and product managers to ensure exceptional reliability and performance Qualifications Required: - 2+ years of experience as a Software Engineer or SDET - Proficiency in Go, Java, or Python - Hands-on experience with LLM APIs and pipelines - Experience integrating automation into CI/CD pipelines - Strong skills in API testing, version control, and containerization - Familiarity with cloud platforms - Clear communication and collaboration skills - Experience in prompt engineering, embeddings, RAG, and LLM evaluation metrics preferred Preferred Qualifications: - Bachelor's degree in Computer Science, Engineering, or related field - Familiarity with LLMs and GenAI concepts - Experience with LLM testing tools - Experience in evaluating AI systems for bias, fairness, and AI safety principles - Strong analytical mindset and structured problem-solving approach Please note that the company details were not explicitly mentioned in the job description. As a Software Engineer or SDET at Mindtickle, you will have the exciting opportunity to design, build, and maintain scalable automation frameworks to ensure consistent product quality. You will be responsible for developing comprehensive automated test suites, improving CI/CD pipelines, and building scalable testing systems for reliable and repeatable releases. Your role will involve working on test automation frameworks to qualify AI-driven features, testing LLM-powered features, and maintaining evaluation frameworks to measure quality and accuracy. Key Responsibilities: - Design, build, and maintain scalable automation frameworks for project qualification pre- and post-release - Develop comprehensive automated test suites and improve CI/CD pipelines - Build scalable testing systems, generate test data, and ensure ongoing quality through automated regression and synthetic monitoring - Work on test automation frameworks to qualify AI-driven features and LLM-powered features - Develop and maintain evaluation frameworks to measure quality, accuracy, relevance, bias, and hallucination rates - Conduct robustness, safety, and adversarial testing for AI systems - Improve quality engineering aspects and Developer Experience (DevEx) - Collaborate closely with developers and product managers to ensure exceptional reliability and performance Qualifications Required: - 2+ years of experience as a Software Engineer or SDET - Proficiency in Go, Java, or Python - Hands-on experience with LLM APIs and pipelines - Experience integrating automation into CI/CD pipelines - Strong skills in API testing, version control, and containerization - Familiarity with cloud platforms - Clear communication and collaboration skills - Experience in prompt engineering, embeddings, RAG, and LLM evaluation metrics preferred Preferred Qualifications: - Bachelor's degree in Computer Science, Engineering, or related field - Familiarity with LLMs and GenAI concepts - Experience with LLM testing tools - Experience in evaluating AI systems for bias, fairness, and AI safety principles - Strong analytical mindset and structured problem-solving approach Please note that the company details were not explicitly mentioned in the job description.
As a Quality Engineer at Mindtickle, you will be responsible for owning the end-to-end qualification lifecycle for AI/LLM systems. Your key responsibilities will include: - Designing and implementing scalable automated test suites across unit, integration, regression, and system levels. - Building and enhancing frameworks to test, evaluate, and continuously improve complex AI and LLM workflows. - Leading the design and automation of LLM-powered features, such as prompt pipelines, RAG workflows, and AI-assisted developer tools. - Developing evaluation pipelines to measure factual accuracy, hallucination rates, bias, robustness, and overall model reliability. - Defining and enforcing metrics-driven quality gates and experiment tracking workflows to ensure consistent, data-informed releases. - Collaborating with agile engineering teams, participating in design discussions, code reviews, and architecture decisions to drive testability and prevent defects early (shift left). - Developing monitoring and alerting systems to track LLM production quality, safety, and performance in real time. - Conducting robustness, safety, and adversarial testing to validate AI behavior under edge cases and stress scenarios. - Continuously improving frameworks, tools, and processes for LLM reliability, safety, and reproducibility. - Mentoring junior engineers in AI testing, automation, and quality best practices. - Measuring and improving Developer Experience (DevEx) through tools, feedback loops, and automation. - Championing quality engineering practices across the organization, ensuring delivery meets business goals, user experience, cost of operations, etc. In order to excel in this role at Mindtickle, you should have experience with LLM testing & evaluation tools such as MaximAI, OpenAI Evals, TruLens, Promptfoo, and LangSmith. Additionally, you should have expertise in building LLM-powered apps, CI/CD design for application and LLM testing, API, performance, and system testing, as well as Git, Docker, and cloud platforms like AWS, GCP, or Azure. You should also be knowledgeable in bias, fairness, hallucination detection, and AI safety testing, with a passion for mentorship and cross-functional leadership. Preferred qualifications for this position include: - A Bachelors or Masters degree in Computer Science, Engineering, or equivalent. - 4+ years of experience in software development, SDET, or QA automation. - Proficiency in GoLang, Java, or Python. - Proven experience in building test automation frameworks. - Ability to design CI/CD pipelines with automated regression and evaluation testing. - Hands-on exposure to LLMs, GenAI applications. - 2+ years of hands-on experience with LLM APIs and frameworks such as OpenAI, Anthropic, Hugging Face. - Proficiency in prompt engineering, embeddings, RAG, and LLM evaluation metrics. - Strong analytical, leadership, and teamwork skills. - Excellent communication and collaboration abilities across teams. We look forward to hearing from you if you meet these qualifications and are excited about the opportunity to contribute to our innovative team at Mindtickle. As a Quality Engineer at Mindtickle, you will be responsible for owning the end-to-end qualification lifecycle for AI/LLM systems. Your key responsibilities will include: - Designing and implementing scalable automated test suites across unit, integration, regression, and system levels. - Building and enhancing frameworks to test, evaluate, and continuously improve complex AI and LLM workflows. - Leading the design and automation of LLM-powered features, such as prompt pipelines, RAG workflows, and AI-assisted developer tools. - Developing evaluation pipelines to measure factual accuracy, hallucination rates, bias, robustness, and overall model reliability. - Defining and enforcing metrics-driven quality gates and experiment tracking workflows to ensure consistent, data-informed releases. - Collaborating with agile engineering teams, participating in design discussions, code reviews, and architecture decisions to drive testability and prevent defects early (shift left). - Developing monitoring and alerting systems to track LLM production quality, safety, and performance in real time. - Conducting robustness, safety, and adversarial testing to validate AI behavior under edge cases and stress scenarios. - Continuously improving frameworks, tools, and processes for LLM reliability, safety, and reproducibility. - Mentoring junior engineers in AI testing, automation, and quality best practices. - Measuring and improving Developer Experience (DevEx) through tools, feedback loops, and automation. - Championing quality engineering practices across the organization, ensuring delivery meets business goals, user experience, cost of operations, etc. In order to excel in this role at Mindtickle, you should have experience with LLM testing & evaluation tools such as MaximAI, OpenAI Evals, TruLens, Promptfoo, and LangSmith. Additionally,
As a Senior Manager/Head of Support at Mindtickle, you will play a crucial role in shaping the strategy, structure, and culture of the Support function. Your primary focus will be on ensuring customer trust, technical depth, and operational rigor in delivering exceptional service to global enterprise customers. Here are some key responsibilities and qualifications for this role: **Key Responsibilities:** - Lead a high-performing support team to provide superior customer experience grounded in customer trust, empathy, and responsiveness. - Champion a customer-first culture and drive an enterprise mindset to customer success. - Elevate the role of the engineer within customer support by ensuring deep product knowledge and proactive ownership. - Implement AI-driven support trends and tooling to enhance support operations and improve customer satisfaction. - Lead high-severity escalations and complex technical issues to ensure customer confidence. - Utilize automation and AI tools to improve resolution times, customer satisfaction, and team productivity. - Make data-driven decisions by leveraging customer insights to guide strategic decisions and improve operational efficiency. - Partner cross-functionally with Product, Engineering, and Customer Success teams to influence roadmap and resolve root causes. - Promote knowledge sharing through documentation and training programs to scale expertise and reduce time to resolution. - Recruit, retain, and develop top-tier support talent with technical acumen and service excellence. - Instill a culture of accountability, collaboration, and continuous improvement within the support organization. **Qualifications Required:** - 12-15 years of experience in technical support and customer success, with 2+ years in senior leadership managing managers in a B2B SaaS setup or an Enterprise organization. - Proven leadership skills with the ability to lead at scale and drive clarity across cross-functional teams. - Experience in building and leading support functions for global enterprise customers with a focus on security, compliance, and operational expectations. - Ability to lead through high-severity incidents, platform outages, or enterprise escalations with calmness and stakeholder management excellence. - Deep empathy for customer pain points and the ability to translate them into business value and technical solutions. - Strong technical understanding of modern SaaS architecture, cloud-native infrastructure, APIs, authentication protocols, and enterprise data platforms. - Operational excellence with experience in tools like Salesforce, Freshworks, and Reporting/BI Tools. If you are ready to lead with heart, act with urgency, and engineer with purpose, Mindtickle welcomes your application. Join us in our mission to provide exceptional support to global enterprise customers and shape the future of support operations. As a Senior Manager/Head of Support at Mindtickle, you will play a crucial role in shaping the strategy, structure, and culture of the Support function. Your primary focus will be on ensuring customer trust, technical depth, and operational rigor in delivering exceptional service to global enterprise customers. Here are some key responsibilities and qualifications for this role: **Key Responsibilities:** - Lead a high-performing support team to provide superior customer experience grounded in customer trust, empathy, and responsiveness. - Champion a customer-first culture and drive an enterprise mindset to customer success. - Elevate the role of the engineer within customer support by ensuring deep product knowledge and proactive ownership. - Implement AI-driven support trends and tooling to enhance support operations and improve customer satisfaction. - Lead high-severity escalations and complex technical issues to ensure customer confidence. - Utilize automation and AI tools to improve resolution times, customer satisfaction, and team productivity. - Make data-driven decisions by leveraging customer insights to guide strategic decisions and improve operational efficiency. - Partner cross-functionally with Product, Engineering, and Customer Success teams to influence roadmap and resolve root causes. - Promote knowledge sharing through documentation and training programs to scale expertise and reduce time to resolution. - Recruit, retain, and develop top-tier support talent with technical acumen and service excellence. - Instill a culture of accountability, collaboration, and continuous improvement within the support organization. **Qualifications Required:** - 12-15 years of experience in technical support and customer success, with 2+ years in senior leadership managing managers in a B2B SaaS setup or an Enterprise organization. - Proven leadership skills with the ability to lead at scale and drive clarity across cross-functional teams. - Experience in building and leading support functions for global enterprise customers with a focus on security, complian