Dynamo AI

We are seeking a strategic Customer Success Senior Manager to build our Customer Success team. Reporting directly to the Head of Growth, you will be responsible for fostering long-term relationships with our clients, ensuring their success and satisfaction with our AI solutions, along with driving customer retention and growth.​ Responsibilities Build and lead Customer Success Team:  Build and lead the Customer Success team, providing guidance and support to ensure the team delivers exceptional service and support to our clients.​ Customer Relationship Management:  Develop and maintain relationships with key clients, serving as the primary point of contact for escalations and strategic discussions.​ Customer Onboarding and Adoption:  Oversee the customer onboarding process to ensure a smooth transition from Sales to Customer Success. Implement strategies that drive product adoption and utilization.​ Customer Advocacy:  Act as the voice of the customer within the company, ensuring that customer feedback is heard and acted upon to improve product offerings and customer experience.​ Retention and Growth Strategies:  Develop and execute strategies to increase customer retention and reduce churn. Identify upsell and cross-sell opportunities by understanding customer needs and aligning them with our product offerings.​ Performance Management:  Establish key performance indicators (KPIs) for the Customer Success team and regularly track and report on these metrics to assess team performance and customer health.​ Cross-Functional Collaboration:  Collaborate with Sales, Product Management, and Engineering teams to ensure alignment between customer requirements and product development.​ Continuous Improvement:  Identify areas for improvement in the customer experience and customer success processes, driving continuous improvement and innovation.​ Qualifications Bachelor’s degree in Business Administration, Marketing, or a related field.​ At least 8-10 years of experience in customer success or a related field, with a proven track record of leading a customer success team in a technology-driven environment.​ Strong understanding of customer success metrics and the ability to link them to business outcomes.​ Excellent interpersonal and communication skills, with the ability to build relationships and influence both customers and internal stakeholders.​ Demonstrated ability to manage and inspire a team in a dynamic and fast-paced setting.​ Proficient in CRM and Customer Success software platforms such as Salesforce or Hubspot. Dynamo AI is committed to maintaining compliance with all applicable local and state laws regarding job listings and salary transparency. This includes adhering to specific regulations that mandate the disclosure of salary ranges in job postings or upon request during the hiring process. We strive to ensure our practices promote fairness, equity, and transparency for all candidates. Salary for this position may vary based on several factors, including the candidate's experience, expertise, and the geographic location of the role. Compensation is determined to ensure competitiveness and equity, reflecting the cost of living in different regions and the specific skills and qualifications of the candidate.

At Dynamo AI, we believe that LLMs must be developed with safety, privacy, and real-world responsibility in mind. Our ML team comes from a culture of academic research driven to democratize AI advancements responsibly. By operating at the intersection of ML research and industry applications, our team empowers Fortune 500 companies’ adoption of frontier research for their next generation of LLM products. Join us if you: • Wish to work on the premier platform for private and personalized LLMs. We provide the fastest end to end solution to deploy research in the real world with our fast-paced team of ML Ph.D.’s and builders, free of Big Tech / academic bureaucracy and constraints. • Are excited at the idea of democratizing state-of-the-art research on safe and responsible AI. • Are motivated to work at a 2023 CB Insights Top 100 AI Startup and see your impact on end customers in the timeframe of weeks not years. • Care about building a platform to empower fair, unbiased, and responsible development of LLMs and don’t accept the status quo of sacrificing user privacy for the sake of ML advancement. Responsibilities Own LLM evaluation processes and methods with a focus on generating benchmarks representative of real-world usage and safety vulnerabilities. Generate high quality synthetic data, curate labels, and conduct rigorous benchmarking. Deliver robust, scalable, and reproducible production code. Push the envelope by developing methods for benchmarking that revamps how we assess the best LLMs for harmlessness and helpfulness. Your research will directly empower our customers to more feasibly deploy safe and responsible LLMs. Co-author papers, patents, and presentations with our research team by integrating other members’ work with your vertical. Qualifications Domain knowledge in LLM evaluation and data curation techniques. Extensive experience in designing and implementing LLM benchmarking, extending previous methods. Comfortability with leading end-to-end projects. Adaptability and flexibility. In both the academic and startup world, a new finding in the community may necessitate an abrupt shift in focus. You must be able to learn, implement, and extend state-of-the-art research. Preferred: past research or projects in benchmarking LLMs. Dynamo AI is committed to maintaining compliance with all applicable local and state laws regarding job listings and salary transparency. This includes adhering to specific regulations that mandate the disclosure of salary ranges in job postings or upon request during the hiring process. We strive to ensure our practices promote fairness, equity, and transparency for all candidates. Salary for this position may vary based on several factors, including the candidate's experience, expertise, and the geographic location of the role. Compensation is determined to ensure competitiveness and equity, reflecting the cost of living in different regions and the specific skills and qualifications of the candidate.

At Dynamo AI, we believe that LLMs must be developed with safety, privacy, and real-world responsibility in mind. Our ML team comes from a culture of academic research driven to democratize AI advancements responsibly. By operating at the intersection of ML research and industry applications, our team empowers Fortune 500 companies’ adoption of frontier research for their next generation of LLM products. Join us if you: • Wish to work on the premier platform for private and personalized LLMs. We provide the fastest end to end solution to deploy research in the real world with our fast-paced team of ML Ph.D.’s and builders, free of Big Tech / academic bureaucracy and constraints. • Are excited at the idea of democratizing state-of-the-art research on safe and responsible AI. • Are motivated to work at a 2023 CB Insights Top 100 AI Startup and see your impact on end customers in the timeframe of weeks not years. • Care about building a platform to empower fair, unbiased, and responsible development of LLMs and don’t accept the status quo of sacrificing user privacy for the sake of ML advancement. Responsibilities Own an ML privacy vertical e.g. data leakage attacks, sensitive PII detection, and/or membership inference attacks. Collaborate with our engineering team to deliver real-world applications of your algorithms for our customers. Generate high quality synthetic training data, train LLMs, and conduct rigorous evaluation and benchmarking. Qualifications Deep domain knowledge in privacy-preserving ML. Practical experience in techniques to attack or defend ML models in terms of privacy. Extensive experience in implementing multiple different types of LLM models and architectures in the real world. Comfortability with leading end-to-end projects. Adaptability and flexibility. In both the academic and startup world, a new finding in the community may necessitate an abrupt shift in focus. You must be able to learn, implement, and extend state-of-the-art research. Preferred: previous projects or research in LLM privacy. Dynamo AI is committed to maintaining compliance with all applicable local and state laws regarding job listings and salary transparency. This includes adhering to specific regulations that mandate the disclosure of salary ranges in job postings or upon request during the hiring process. We strive to ensure our practices promote fairness, equity, and transparency for all candidates. Salary for this position may vary based on several factors, including the candidate's experience, expertise, and the geographic location of the role. Compensation is determined to ensure competitiveness and equity, reflecting the cost of living in different regions and the specific skills and qualifications of the candidate.

At Dynamo AI, an ML Research Engineer Intern will work at the intersection of machine learning research and production systems. You will help design, prototype, and deploy advanced evaluation, guardrailing, and agent security mechanisms across Dynamo Guard, Dynamo Eval, and AgentWarden. This role blends hands-on engineering with applied ML experimentation in real-world enterprise environments. Responsibilities Design and implement ML-driven features across Dynamo Guard, Dynamo Eval, and AgentWarden. Build and optimize evaluation pipelines for LLMs and agentic systems, including attack simulations and red-teaming frameworks. Develop scalable components within our Kubernetes-based infrastructure to support secure and reliable ML deployment. Translate research prototypes into production-grade systems with strong performance and observability. Implement automated testing, benchmarking, and monitoring workflows for model safety and robustness. Collaborate closely with research and product teams to iterate quickly from experimentation to deployment. Contribute to internal tooling for model validation, guardrail enforcement, and runtime monitoring. Qualifications Currently pursuing or recently completed a degree in Computer Science, Machine Learning, AI, or related field. Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow). Understanding of LLMs, agentic systems, or model evaluation techniques. Experience with cloud environments, APIs, or containerized systems (Docker/Kubernetes) is a plus. Strong problem-solving mindset and eagerness to build production-quality ML systems.

At Dynamo AI, we believe that LLMs must be developed with safety, privacy, and real-world responsibility in mind. Our ML team comes from a culture of academic research driven to democratize AI advancements responsibly. By operating at the intersection of ML research and industry applications, our team empowers Fortune 500 companies’ adoption of frontier research for their next generation of LLM products. Join us if you: • Wish to work on the premier platform for private and personalized LLMs. We provide the fastest end to end solution to deploy research in the real world with our fast-paced team of ML Ph.D.’s and builders, free of Big Tech / academic bureaucracy and constraints. • Are excited at the idea of democratizing state-of-the-art research on safe and responsible AI. • Are motivated to work at a 2023 CB Insights Top 100 AI Startup and see your impact on end customers in the timeframe of weeks not years. • Care about building a platform to empower fair, unbiased, and responsible development of LLMs and don’t accept the status quo of sacrificing user privacy for the sake of ML advancement. Responsibilities Own an LLM vertical with a focus on a specific safety domain, technique, or use case (either from defense or red-team attack perspective) Generate high quality synthetic data, train LLMs, and conduct rigorous benchmarking. Deliver robust, scalable, and reproducible production code. Push the envelope by developing novel techniques and research that delivers the world’s most harmless and helpful models. Your research will directly empower our customers to more feasibly deploy safe and responsible LLMs. Co-author papers, patents, and presentations with our research team by integrating other members’ work with your vertical. Qualifications Deep domain knowledge in LLM safety techniques. Extensive experience in designing, training, and implementing multiple different types of LLM models and architectures in the real world. Comfortability with leading end-to-end projects. Adaptability and flexibility. In both the academic and startup world, a new finding in the community may necessitate an abrupt shift in focus. You must be able to learn, implement, and extend state-of-the-art research. Preferred: past research or projects in either attacking or defending LLMs. Dynamo AI is committed to maintaining compliance with all applicable local and state laws regarding job listings and salary transparency. This includes adhering to specific regulations that mandate the disclosure of salary ranges in job postings or upon request during the hiring process. We strive to ensure our practices promote fairness, equity, and transparency for all candidates. Salary for this position may vary based on several factors, including the candidate's experience, expertise, and the geographic location of the role. Compensation is determined to ensure competitiveness and equity, reflecting the cost of living in different regions and the specific skills and qualifications of the candidate.

At Dynamo AI, an ML Research Scientist Intern will focus on advancing the state of AI evaluation, adversarial robustness, and agent security. You will contribute to novel research in model safety, hallucination detection, red-teaming, runtime guardrails, and AI risk remediation across DynamoGuard, DynamoEval, and AgentWarden. Responsibilities Conduct research on LLM evaluation methodologies, adversarial attack generation, and model robustness. Develop novel techniques for detecting hallucinations, policy violations, prompt injection, and agent misalignment. Design experiments to evaluate AI systems under real-world enterprise constraints. Contribute to research artifacts, including internal technical reports, benchmarking frameworks, and potentially publications. Collaborate with engineering teams to transition research innovations into deployable guardrails and runtime protections. Analyze large-scale model behavior data to uncover systematic vulnerabilities and improvement opportunities. Qualifications Currently pursuing a Master’s or PhD in Machine Learning, Artificial Intelligence, Computer Science, or related field. Strong theoretical foundation in ML, NLP, or deep learning. Experience working with large language models or generative AI systems. Familiarity with adversarial ML, AI safety, or model evaluation frameworks is a strong plus. Demonstrated ability to design rigorous experiments and analyze results critically. Passion for advancing secure and production-grade AI systems.

Role Description We are seeking a highly organized and proactive Operations Coordinator to support and optimize our day-to-day operations. The ideal candidate is a resourceful problem solver with strong attention to detail, a knack for agile project management, and a passion for driving operational efficiency. You will play a key role in ensuring the seamless functioning of our internal processes, contributing directly to the company's success. Key Responsibilities: Onboarding: Own the onboarding process for new hires, ensuring a seamless and welcoming experience. Employee Engagement: Assist in planning and executing employee engagement initiatives, such as wellness programs, recognition events, and team-building activities. Policy Management: Help maintain and update employee handbooks, policies, and procedures, ensuring compliance with local and national regulations. HR Administration: Manage employee records, update HR systems, and ensure accurate tracking of PTO, benefits, and other HR-related data. Recruitment Support: Coordinate interviews, manage candidate communications, and assist with scheduling as needed. Process Optimization: Identify inefficiencies in current workflows and propose improvements to streamline operations. Project Coordination: Support the planning and execution of company-wide initiatives, ensuring timely delivery of objectives. Data Management: Organize and maintain accurate records, reports, and documentation across operational systems. Vendor Management: Serve as the point of contact for third-party vendors, managing contracts, invoices, and related communications. Event Coordination: Plan and execute team events, offsites, and company-wide gatherings. Qualifications: Bachelor’s degree in Business Administration, Operations, or a related field (or equivalent experience). 2+ years of experience in an operational or administrative role, preferably in a fast-paced environment. Exceptional organizational and time management skills with a strong attention to detail. Excellent written and verbal communication skills. Proficiency in office productivity tools (e.g., Google Workspace, Microsoft Office) and familiarity with project management tools (e.g., Asana, Trello, Notion). Ability to manage multiple priorities and adapt to changing needs with a positive attitude. Self-starter with a strong sense of ownership and a results-driven mindset. Experience in a technology-focused environment is a plus. Dynamo AI is committed to maintaining compliance with all applicable local and state laws regarding job listings and salary transparency. This includes adhering to specific regulations that mandate the disclosure of salary ranges in job postings or upon request during the hiring process. We strive to ensure our practices promote fairness, equity, and transparency for all candidates. Salary for this position may vary based on several factors, including the candidate's experience, expertise, and the geographic location of the role. Compensation is determined to ensure competitiveness and equity, reflecting the cost of living in different regions and the specific skills and qualifications of the candidate.

Product Manager - AI Location: Remote (US-based preferred) Experience: 1+ years in Product Management About Dynamo AI Dynamo AI is building the future of trustworthy AI for the enterprise. Our platform provides real-time guardrails, redteaming, and observability for generative AI systems—ensuring safe, compliant, and reliable AI deployments in regulated industries such as financial services, insurance, DoD, and healthcare. We’re backed by leading partners and rapidly expanding with some of the world’s most sophisticated enterprises. The Role We’re seeking an AI Product Manager who will own the vision and execution of new product directions in trustworthy AI. You will work closely with our founders, engineers, and enterprise partners to identify high-impact opportunities, shape product roadmaps, and deliver solutions that set the standard for safe and scalable AI adoption. This role is ideal for a builder excited to drive the future of AI governance, safety, and compliance. Responsibilities Define and lead product strategy for Dynamo AI’s redteaming, guardrails, and observability solutions. Collaborate with engineering and research teams to translate customer requirements into product roadmaps. Engage directly with enterprise partners in regulated industries to pilot and deploy solutions. Monitor AI regulatory and compliance landscapes to ensure our products stay ahead of industry needs. Drive rapid iteration, from concept to launch, ensuring measurable business and user impact. Requirements 1+ years of experience in a Product Management role (preferably in enterprise software, AI/ML, or adjacent fields). Strong communication skills and the ability to work cross-functionally with technical and non-technical stakeholders. Demonstrated ability to translate complex technologies into actionable product directions. Entrepreneurial mindset: comfortable with ambiguity, speed, and high-growth environments. Passion for AI safety, trustworthy AI, and building responsible technology. Why Join Us Work at the forefront of generative AI safety and compliance. Partner with Fortune 500 and leading global enterprises on real-world deployments. Be part of a fast-moving, founder-led startup with opportunities for outsized impact. Competitive compensation, equity, and benefits.

As the Technical Product Manager for the Core Platform at Dynamo.ai, you will be responsible for steering the vision, strategy, and execution of our platform's infrastructure and deployment capabilities. This is a hands-on, high-impact role that requires deep technical expertise, a strong understanding of platform engineering, and excellent stakeholder management skills. You will collaborate closely with engineering, compliance, and customer success teams to ensure that Dynamo.ai’s platform meets customer requirements, handles demanding performance metrics, and maintains industry-leading standards of security, scalability, and usability. Responsibilities  Below are the Responsibilities for the Technical Product Manager Role: 1. Platform Deployment as a PaaS (Platform as a Service) Define and prioritize technical requirements to ensure the Dynamo.ai product can be deployed seamlessly in customer environments (e.g., VPCs, on-premises physical servers) as a scalable PaaS offering. Collaborate with engineering teams to optimize Kubernetes-based deployment pipelines to support high throughput and ultra-low latency. Work with DevOps and infrastructure engineers to enhance platform stability and ensure robust CI/CD practices for customer environments. 2. Security and Compliance Ensure the platform aligns with industry standards such as SOC2, ISO 27001, and customer-specific compliance needs. Drive the implementation of robust Role-Based Access Control (RBAC) systems, encryption protocols, and other security features. Partner with security teams to develop and execute audits, penetration testing, and ongoing compliance validation. 3. Documentation and Self-Installation Enablement Lead the creation of detailed, user-friendly documentation and installation guides to empower customers to independently deploy and manage Dynamo.ai’s platform. Collect feedback from customers to continuously improve the self-installation process and reduce dependency on Dynamo.ai’s technical support. 4. SaaS Platform Scalability and Robustness Oversee initiatives to ensure the SaaS offering can scale efficiently to handle large numbers of customer users without compromising performance. Identify potential bottlenecks in the SaaS architecture and collaborate with engineers to address them proactively. 5. System Validation and Error Messaging Define and implement validation testing strategies to ensure the platform is resilient when deployed in diverse customer environments. Work with engineering teams to create clear, actionable error messages that improve troubleshooting and system reliability. Qualifications Below are the Qualifications for the Technical Product Manager Role: Experience: 3+ years of product management experience in a technical role, preferably in platform engineering, infrastructure, or DevOps-oriented environments. Experience managing PaaS products deployed in both cloud and on-prem environments. Proven track record of driving large-scale deployments with performance and latency requirements. Technical Expertise : Strong understanding of Kubernetes, container orchestration, and microservices architecture. Familiarity with cloud infrastructure (AWS, Azure, GCP) and on-premises deployment models. Knowledge of security and compliance frameworks (e.g., SOC2, ISO 27001, RBAC). Experience with CI/CD pipelines, observability tools, and system validation testing. Soft Skills : Excellent communication skills with the ability to translate technical details into business value for stakeholders. Strong problem-solving skills with a customer-first mindset. Proven ability to collaborate cross-functionally with engineering, security, and customer success teams. Education : Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience). Advanced degrees or certifications in cloud computing, product management, or security are a plus. Preferred Qualifications: Experience working with high-

Location: US San Francisco At Dynamo AI, our mission is to empower every organization to harness AI’s transformative potential with confidence and control. Our solutions empower customers to ensure AI safety and compliance while delivering top-tier AI innovations. We are looking for a highly talented and experienced Lead Software Engineer to lead the development of our ML services on the cloud. Join us in defining the future of AI safety and compliance! Responsibilities Lead the engineering team to design, develop, and deploy high-performance, secure, and reliable ML services adhering to industry-leading standards. Partner closely with the ML team to streamline and optimize the transition from experimentation to production for cutting-edge ML models and AI solutions. Deeply understand customer needs and industry trends in AI safety and compliance, collaborating with leadership and product managers to shape and execute technical strategies. Work directly with customers to deliver tailored solutions, ensuring seamless integration of our products with their AI systems. Establish yourself as a thought leader in the AI safety and compliance domain by providing insights and influencing the broader community and industry. Qualifications 7+ years of experience delivering industry-leading solutions that achieve exceptional customer satisfaction. Demonstrated success in delivering and maintaining AI products at scale, including building services for the training and inference of AI models, ensuring reliability and performance in production environments. Expertise in API design, Typescript or Python programming languages, and good knowledge on Kubernetes systems. Deep knowledge of best engineering practices and a strong track record of designing and building scalable, distributed systems. A mission-driven approach with a commitment to continuously innovate our products and solutions. Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.

At Dynamo AI, a Senior Software Engineer will design, develop, and maintain robust, secure, and scalable infrastructure and applications. You will be instrumental in deploying our advanced machine learning models in diverse production environments, ensuring optimal performance and reliability. You build full set of features in our Kubernetes based infrastructure and apply the bast practices in the industry. Responsibilities Design and develop systems on our Kubernetes-based infrastructure, ensuring seamless deployment and management of our ML models. Maintain and enhance the infrastructure and applications, focusing on scalability, security, and high availability. Implement industry best practices in software development and infrastructure management to achieve excellence in operations and service delivery. Take complete ownership of the infrastructure and applications, proactively identifying and addressing issues to ensure our products consistently meet the highest standards of quality and performance in customer environments. Implement and maintain automated testing and CI/CD pipelines to ensure code quality and deployment efficiency. Qualifications 3+ years of experience developing and managing scalable services in Kubernetes. Proficiency in Kubernetes, cloud services, and modern DevOps practices. Strong coding skills in one or more programming languages. Excellent problem-solving abilities and a commitment to innovation and continuous improvement. Experience in deploying machine learning models in production is a plus.