Technical Product Manager jobs in United States
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Dynamo AI · 8 months ago

Technical Product Manager

Dynamo AI is an enterprise platform for enabling private, secure, and regulation-compliant Gen AI models. The Technical Product Manager will steer the vision, strategy, and execution of the platform's infrastructure and deployment capabilities, collaborating closely with engineering and compliance teams to meet customer requirements and maintain high standards of security and usability.

Artificial Intelligence (AI)Generative AIMachine Learning

Responsibilities

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
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
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
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
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

Qualification

KubernetesPaaS productsCI/CD pipelinesCloud infrastructureSecurity frameworksMicroservices architectureObservability toolsSystem validation testingAI/ML platformsCross-functional collaboration

Required

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
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
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
Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience)

Preferred

Experience working with high-throughput systems and real-time data processing
Familiarity with AI/ML platforms and their unique deployment challenges
Prior experience in customer-facing roles, understanding deployment challenges in enterprise environments

Company

Dynamo AI

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The enterprise platform for enabling private, secure, and regulation-compliant Gen AI models.

Funding

Current Stage
Growth Stage
Total Funding
$19.25M
Key Investors
Nexus Venture Partners
2023-08-16Series A· $15.1M
2022-09-20Seed· $4.15M
2022-05-01Pre Seed

Leadership Team

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Christian Lau
Co-founder & Chief Product Officer; Ph.D. EECS @ MIT
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Company data provided by crunchbase