Buzz Solutions

• Oversee all day-to-day accounting operations, including general ledger, and fixed assets • Manage the month-end and year-end close processes • Establish and document policies, procedures, and best practices for the finance function • Own the full-cycle accounts payable process: vendor onboarding and W-9/1099 setup, purchase-order and invoice matching, GL coding, approval routing, payment runs, and vendor reconciliations and inquiries. • Reconcile the AR and AP subledgers to the general ledger each period and maintain the related accrual and allowance estimates, including the allowance for credit losses. • Build and maintain robust internal controls to support future audit cycles and diligence processes • Prepare timely, accurate GAAP financial statements and the monthly management reporting package, with variance analysis against budget and prior period. • Manage tax filings, sales tax compliance, and multi-state nexus considerations • Proactively identify compliance risks and implement corrective measures • Own cash management, bank reconciliations, and short-term cash forecasting. • Forecast working-capital needs and time funding and disbursements against the cash position. • Provide recommendations to improve financial performance and resource allocation.

• Coordinate candidate interviews across multiple departments/time zones and manage candidate communications throughout the hiring process • Maintain records within the ATS (greenhouse) • Work alongside all our hiring managers to gather notes and feedback on candidates in our pipeline • Ensure a positive candidate experience from start to finish • Assist in sourcing candidates for all our open positions within our organization • Coordinate employee engagement activities and events • Assist with HR compliance documentations and audits • Support the onboarding process by sending welcome emails and onboarding schedules • Walking employees through our employee handbook, benefits enrollment and policies • Introduce our new employees to our company culture and values • Help coordinate employee recognition programs • Assist in Ad hoc projects as they arise

• Build, maintain, and distribute dashboards and reports that give leadership clear visibility into pipeline health, conversion rates, and revenue performance • Manage and build out deal desk • Own and maintain Salesforce while building out CPQ process • Identify trends, anomalies, and opportunities in revenue data and surface them proactively • Support quota setting, and compensation plan administration in partnership with leadership • Help develop and maintain sales playbooks, process documentation, and enablement resources • Assists the sales teams in the creation, review, and processing of customer contracts to ensure accuracy

• 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

• 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

• 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

• Identify and research potential clients within the electric utility space. Utilize various tools and methods to build a strong pipeline of qualified leads. • Conduct outreach via phone calls, emails, and in person events to introduce our AI solutions and create interest among prospective clients. • Engage with prospects to understand their needs, challenges, and budget. Assess whether our solutions are a good fit and ensure leads meet our criteria for the sales team. • Schedule meetings and product demonstrations for the sales team with qualified leads. • Stay informed about industry trends, competitors, and market dynamics to effectively position our solutions and provide valuable insights to the team. • Work closely with the sales and marketing teams to align strategies, share feedback, and contribute to campaign development. • Maintain accurate and up-to-date records of interactions with prospects in our CRM system. Track performance metrics and report on progress regularly.

• 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

• 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

• 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