Buzz Solutions

Product Manager

• Translate customer needs, business priorities, and leadership direction into actionable product requirements
• Write clear product requirement documents (PRDs), user stories, acceptance criteria, workflows, and release documentation
• Manage and prioritize the product backlog in partnership with leadership and engineering
• Coordinate feature development through planning, sprint execution, testing, release, and post-launch evaluation
• Help drive clarity when requirements, priorities, or scope are ambiguous
• Partner closely with the engineer, UI/UX design, customer support, and solutions engineering team
• Facilitate communication between technical and non-technical stakeholders
• Participate in sprint planning, backlog grooming release reviews, and product discussions
• Help ensure product releases align with intended customer workflows and business objectives
• Collaborate with UI/UX design on feature workflows, user experience, and interaction patterns
• Contribute to feature-level solution design, edge-case analysis, and usability improvements
• Gather and synthesize feedback from customers, internal teams and support tickets and product usage
• Help improve product development processes, release coordination, and cross-functional collaboration
• Support the development of scalable product management practices as the organization scales
• Contribute to release readiness, launch checklists, QA coordination, and phase-gate processes

Account Executive

• Bring a rolodex of contacts from investor-owned, municipal, and cooperative utilities across North America
• Create sustainable long-term relationships by providing win-win business solutions to utility clients in US
• Develop new leads for prospective utility clients and inform regional priorities
• Own key relationships with utility leaders, including executives and team leaders focused on grid modernization, transmission and distribution infrastructure inspections, asset and vegetation management, grid planning, and operations teams
• Attend and present at select trade shows and conferences
• Write formal project proposals, develop presentation slides, and other tools
• Understand utility needs and pain points. Drive deployment scoping with utilities to balance stakeholder needs, internally and externally, and close deals that achieve both scale and rapid execution
• Negotiate contracts through final execution
• Consistently ensure that business is conducted with integrity at all times
• Exercise indirect influence to maintain efficient and timely forward project progress
• Support project manager to smoothly transition new contracts into implementation
• Coordinate with fellow associates and co-founders on sales process improvements, product development, regulatory and policy goals, and competitive landscape
• Knowledge in sales of B2B, SaaS products to enterprise clients (Energy experience is strongly recommended, though not required)
• Coach SDRs on nurturing leads and to foster stronger pipeline
• Maintain Hubspot and keep management and other key stakeholders appraised on sales activities and pipeline
• Exceed sales targets by building and executing on an aggressive pipeline of investor-owned, municipal, and cooperative utilities

Senior Account Executive, Southeast

Engineering Manager

• Define and drive the technical vision and architecture for our product PowerAI
• Lead design and scaling of distributed systems and backend services, AI/ML pipelines and computer vision systems
• Establish best practices across all engineering teams and projects
• Lead & mentor team leads and senior engineers
• Build a high performing engineering culture
• Provide coaching, feedback and career development
• Partner with other departments to define roadmaps and priorities
• Ensure high-quality, on-time solutions to our customers
• Work closely with leadership in discussions revolving around strategy an company direction

Director of Engineering

Platform Engineer

• Design, build, and maintain scalable training infrastructure for computer vision workloads
• Implement and manage distributed training pipelines (multi-GPU, multi-node) to support large-scale model training and hyperparameter tuning
• Build and maintain robust data pipelines for ML development
• Design database schemas and storage strategies for managing large training datasets, annotations, and model artifacts
• Implement and manage feature stores, data versioning, and experiment tracking to support reliable model iteration
• Automate existing analysis workflows
• Maintain clear documentation for platform components, data contracts, and deployment processes
• Communicate infrastructure decisions, tradeoffs, and system limitations clearly to ML engineers and stakeholders
• Conduct thorough code reviews and write integration tests for ML pipelines

Applied Machine Learning Platform Engineer

Senior Account Executive

Machine Learning Engineer

• Stay current with ML/CV research, identify promising methods, and evaluate their applicability to our domain
• Adapt and implement algorithms from papers, validating against baselines and benchmarking for production viability
• Own and deliver end-to-end computer vision projects focused on:
• Design and execute experiments with systematic hyperparameter tuning, ablation studies, and appropriate baselines
• Perform structured error analysis: categorize failure modes (false positives, missed detections, localization errors, misclassifications) and break down performance by data slices (object size, occlusion, image quality)
• Select and justify model architectures based on task requirements, latency, and accuracy tradeoffs
• Design and implement data pipelines including ingestion, preprocessing, annotation workflows, and quality monitoring
• Experiment tracking and model versioning (configurations, random seeds, dataset versions, environment specs, and model checkpoints)
• Build model serving pipelines that meet latency and throughput requirements
• Conduct thorough code reviews and write integration tests for ML pipelines
• Communicate research findings, technical decisions, and model limitations clearly to stakeholders

Product Manager

Senior Account Executive, Southeast

Director of Engineering

Applied Machine Learning Platform Engineer

Senior Account Executive

Computer Vision, Machine Learning Engineer