Technical Product Manager

San Francisco, CA Full-time US citizen/visa only 3+ years Kubernetes

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

As the Technical Product Manager for the Core Platform , 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.

• 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 Dev Ops 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.

• 3+ years of product management experience in a technical role, preferably in platform engineering, infrastructure, or Dev Ops‑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).
• Advanced degrees or certifications in cloud computing, product management, or security are a plus.

• 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.

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.