Netradyne

HQ
San Diego
Total Offices: 2
400 Total Employees
Year Founded: 2015

Jobs at Netradyne

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Recently posted jobs

2 Days AgoSaved
In-Office
San Diego, CA, USA
Artificial Intelligence • Internet of Things • Machine Learning • Robotics
Build a new Physical AI product line spanning edge devices, cloud infrastructure, and user-facing safety tools. Own real-time ingestion, multi-tenant access control, dashboards, compliance analytics, operator coaching workflows, and AI agent features. Work directly with customers, run pilots, ship rapidly, and measure product usage. The role requires broad full-stack range across backend, cloud infrastructure, DevOps, frontend, and real-time data experiences.
10 Days AgoSaved
In-Office
2 Locations
Artificial Intelligence • Internet of Things • Machine Learning • Robotics
Leads and develops a Customer Success team serving strategic enterprise customers. Owns onboarding and adoption strategies for deployments exceeding 1,000 vehicles, executive stakeholder relationships, business reviews, customer health, retention, expansion, and ROI realization. Establishes scalable success processes, governance frameworks, KPI reporting, and data-driven recommendations while coordinating Sales, Product, Engineering, Support, and Operations. The role also manages enterprise risks, team performance, organizational growth, and customer advocacy, with travel of up to 30%.
19 Days AgoSaved
In-Office
San Diego, CA, USA
Artificial Intelligence • Internet of Things • Machine Learning • Robotics
Own the end-to-end vehicle data product roadmap from on-device CAN/J1939/OBD-II capture through the Vehicle Data Service. Define schemas, OEM integrations, ADAS integrations, and alert decoration. Produce PRDs, work with hardware/embedded/CAN/data engineering, partner with internal PMs, monitor data coverage and decode accuracy.
21 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Internet of Things • Machine Learning • Robotics
Lead GTM FP&A: manage GTM P&L, forecasts, capital allocation, and executive/board reporting. Partner with Sales, Marketing, Customer Success and Product on topline forecasting, pipeline analytics, sales comp design, renewals, capacity planning and marketing ROI. Drive investment trade-offs, deal and pricing analytics, build and lead an analyst team, and deliver KPI-driven insights to influence executive decisions in a high-growth SaaS environment.
One Month AgoSaved
In-Office
2 Locations
Artificial Intelligence • Internet of Things • Machine Learning • Robotics
Lead design and execution of the product org operating system: planning cadence, prioritization framework, voice-of-customer pipeline, product metrics/OKR instrumentation, quality visibility, and tooling (Jira/Confluence). Drive process adoption, maintain reporting/data hygiene, and enable PM effectiveness across teams.
One Month AgoSaved
In-Office
2 Locations
Artificial Intelligence • Internet of Things • Machine Learning • Robotics
Lead integrations product work: define integration scope, gather customer feedback, write PRDs, coordinate development/testing/launch, engage customers/vendors, and perform minor scripting/querying and validation to support technical requirements.
One Month AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Internet of Things • Machine Learning • Robotics
Lead development and execution of investor relations and capital markets strategy. Communicate company story and financials to investors and analysts, manage investor engagement and market intelligence, support capital raises and capital structure decisions, build institutional-grade reporting, and prepare executives for investor interactions and Board updates.
One Month AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Internet of Things • Machine Learning • Robotics
Lead enterprise-wide process and systems transformation across GTM, Finance, Operations and Support. Design To-Be processes, conduct gap analyses, drive automation with Salesforce/NetSuite integrations, lead UAT, training, and change management, and manage cross-functional programs to ensure delivery, risk mitigation, and user adoption.