The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.
VOLT is seeking a Technical Product Manager to own product direction and lead engineering teams through the design, build, and deployment of our AI-powered safety and security platform.
This is a deeply technical, hands-on product role. You will be expected to engage directly with system design, APIs, data flows, and deployment constraints—not simply write requirements. You will define what we build, why we build it, and ensure it ships successfully into real-world environments.
This role is ideal for an experienced engineer with a proven track record building large, complex systems, who has transitioned into product leadership but remains highly technical and execution-oriented.
Key Responsibilities
- Own product vision and roadmap for core platform capabilities, balancing customer needs, technical feasibility, and long-term strategy
- Translate complex customer and system requirements into clear, actionable product direction, including user workflows and experience design, functional and non-functional requirements, and system constraints, dependencies, and trade-offs
- Lead engineering teams through end-to-end execution, including planning, prioritization, and sequencing, architecture and technical design reviews, and delivery, deployment, and iteration in production
- Act as the hands-on technical product authority, engaging directly with system architecture and data flows, APIs and service contracts, and performance, reliability, and scalability considerations
- Partner closely with AI/ML, infrastructure, and frontend/backend teams to shape product interfaces and system design, ensure features are deployable and operable in real environments, and drive clarity and alignment across teams
- Own deployment readiness and launch execution, including validation in customer environments, risk identification and mitigation, and feedback collection and prioritization post-launch
- Work directly with customers and internal stakeholders to gather feedback and validate product decisions, balance user experience with engineering realities, and ensure the product delivers measurable value
- Maintain a high bar for product quality, usability, reliability, and security, particularly in safety-critical systems
Required Qualifications
- 8+ years of experience as a software engineer, systems engineer, or ML engineer, with significant hands-on production experience
- Demonstrated track record building and shipping large-scale, complex systems
- Experience owning product direction or leading major technical initiatives
- Strong understanding of distributed systems, data pipelines, and modern software architectures
- Ability to reason deeply about user experience while maintaining technical rigor
- Experience leading teams through production deployments
- Excellent written and verbal communication skills
- Comfort making decisions and trade-offs in ambiguous environments
Preferred Qualifications
- Experience with AI-driven or data-intensive products
- Background in safety, security, or physical-world systems
- Experience with cloud and edge deployments
- Experience in startup or high-growth environments
- Familiarity with UX design and user research practices
What Success Looks Like
- Product direction is clear, prioritized, and grounded in real customer needs
- Engineering teams execute with clarity and minimal friction
- Features ship cleanly and deploy reliably in production
- User experience improves without compromising system performance
- Product decisions consistently balance usability, scalability, and reliability
At VOLT AI, Technical Product Managers are builders and leaders. You will help define and ship a platform that operates in real-world environments, under real constraints, and delivers meaningful safety outcomes. This role is for someone who wants to own product direction, stay hands-on, and lead complex systems into production.
Top Skills
AI
APIs
Cloud Deployments
Data Pipelines
Distributed Systems
Edge Deployments
Machine Learning
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