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Leads end-to-end delivery of complex technical programs across ML, MLOps, platform, systems, and solutions engineering teams. Responsibilities include planning, dependency and risk management, Agile process leadership, PMO standards, executive reporting, enterprise deployments, incident follow-up, and cross-functional stakeholder alignment. Requires strong technical fluency, project management expertise, and the ability to drive execution in ambiguous environments.

Owns Buzz Solutions’ partner go-to-market strategy, revenue, pipeline, and international expansion. The role involves building a partner ecosystem, negotiating commercial agreements, developing integrations and joint solutions, enabling partner sales and technical teams, creating certification programs, and managing partner-sourced opportunities through close. Initial priorities include formalizing Esri and IBM Maximo alliances, developing hyperscaler co-sell and marketplace channels, expanding into Canada, and establishing repeatable partnership processes.

Coordinates the full hiring lifecycle, including interview scheduling, candidate communication, offers, onboarding, and applicant tracking system management. Maintains employee records, supports HR compliance and audits, assists with sourcing, and coordinates culture, engagement, and recognition initiatives for a distributed team.

Build and maintain cloud infrastructure, APIs, data and inference pipelines, databases, CI/CD systems, monitoring, and Kubernetes deployments for machine learning products. Develop Python backend applications, integrate model registries and MLOps frameworks, monitor model drift and vulnerabilities, optimize Google Cloud infrastructure, and support testing, documentation, code reviews, and AI platform roadmap planning.

Own post-sale relationships with electric utility customers, drive adoption and ROI of the Buzz Solutions platform, identify expansion and at-risk accounts, coordinate training and enablement, advocate customer needs to product and engineering, and maintain account health data in Salesforce.

Own post-sale relationships for electric utility customers, drive platform adoption, retention, ROI, and expansion opportunities. Build onboarding, health scoring, QBR, escalation, and customer success playbooks from scratch. Serve as a bridge between customers and internal teams, train customers, influence product priorities, and eventually lead hiring and development of the Customer Success team.

Serve as a technical partner for utility customers across pre-sales discovery, implementation scoping, pilots, and end-to-end deployments. Build integrations with asset management, GIS, inspection, and reporting systems; develop reusable deployment tooling and AI agents; address security and architecture concerns; identify expansion opportunities; and translate recurring field needs into product improvements. The role is approximately 80% customer-facing and requires close collaboration with Sales, Product, Solutions, and Engineering.

Own end-to-end computer vision and machine learning projects for power grid infrastructure, from problem framing and research experimentation through production deployment and monitoring. Develop detection, segmentation, classification, anomaly detection, and foundation-model solutions; build data pipelines, serving systems, experiment tracking, and model versioning. Conduct error analysis, benchmarking, tuning, code reviews, and testing while translating client requirements into reliable production models and communicating technical decisions and limitations.

Build and lead the marketing function: own demand generation, brand and executive-level messaging, go-to-market positioning, thought leadership, events, and cross-functional partnership with Sales and Product to drive pipeline and revenue.

The Senior Account Executive will develop relationships with utility clients, lead sales initiatives, negotiate contracts, and maintain sales activities in Hubspot to achieve sales targets.