Growth Marketing Lead
BrightAI
Growth Marketing Lead
BrightAI
AI-powered proactive asset monitoring for infrastructure
BrightAI is a physical AI company for the world's essential services. Water, power, oil and gas and industrial operators run aging assets with stretched crews and periodic inspections that miss problems as they develop. BrightAI helps them see the condition of their assets, understand what it means and act before problems reach the people who depend on them. Stateful devices and existing telemetry capture what's happening in the field. Foundation models predict failures and guide people, control systems and robots, and field outcomes help improve the models. The Stateful platform operates across 50,000+ operational locations. The aim is reliable, safe infrastructure and safer crews.
BrightAI's customers run essential infrastructure, and they buy carefully. Buying groups are large, and sales and deployment cycles are long. As Growth Marketing Lead, you'll own growth across the full customer journey: how operators discover BrightAI, how they move from first interest to qualified evaluation, and how they keep finding value after they become customers. You'll set strategy and priorities across paid, organic, conversion and lifecycle programs, and you'll run much of the work hands-on, including the data, automation and AI-assisted workflows behind it. This is a senior individual contributor role reporting to the Head of Marketing. You'll work closely with product marketing on message and content, design on creative, sales on target accounts and handoff, and Customer Success and Product on onboarding, adoption and expansion.
Please share one cross-funnel program with context, results and your personal contribution, plus one workflow or automation you built. If you have evidence of retention or expansion impact, include it. Redacted or sanitized examples are welcome.
BrightAI builds Stateful, an AI and IoT platform for real-time monitoring and proactive asset management of critical infrastructure like power and water. Data from sensors, drones, and robotics is processed by multimodal AI at the edge to detect issues, predict failures, and deliver actionable insights to field teams, and the system can retrofit existing legacy infrastructure. It differentiates itself through an integrated hardware-software stack that creates high switching costs and a data feedback loop that improves models as more data is collected. Its goal is to move infrastructure management from reactive to proactive, AI-driven operations across utilities and industrial sectors.
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