Power Factors

Data Scientist

• Identify, evaluate, and prioritize innovative opportunities to create new revenue streams for Power Factors
• Lead the development of novel data science solutions from concept through prototype, leveraging Power Factors' extensive operational database of 200+ GW of renewable assets

Principal Data Scientist – Innovation Team

Platform Engineer

• You will be working with technologies like Kubernetes (K3s), Cassandra, PostgreSQL, Mosquito, Redis, Ansible, Kafka, LAMP, Git, Bash, Python in a Linux environment.
• Work on our SCADA software product release process by integrating and configuring microservices written in Go, Java and Python using Ansible, Redis and Bash on K3s nodes.
• Perform and automate deployment and upgrades at scale, across a fleet of bare metal or PaaS K3s nodes.
• Maintain and debug production microservice based applications by monitoring performance indicators such as availability, throughput, and latency.
• Work closely with development team members to support existing microservices and integrate new ones to production.
• Maintain production flows and CD processes for deployment of software at scale.

Release-Platform Engineer

Financial Planning and Analysis

• Own the company-wide budgeting, forecasting, and long-range planning excel model, ensuring accuracy, speed, and cross-functional alignment.
• Build and maintain complex driver-based financial models for SaaS ARR/MRR, Professional Services utilization, and Hardware COGS/margin views.
• Partner with senior leadership to prepare executive-ready reporting, board materials, narrative packages, and scenario analyses.
• Own advanced financial modeling in Excel, including multi-scenario forecasting, dynamic cost allocation models, and statistical forecasting techniques.
• Use Python in Excel or standalone Python workflows to automate data cleanup, forecasting, variance analysis, and scenario planning—leveraging emerging FP&A best practices.
• Implement AI-enabled financial processes (e.g., generative insights, automated forecast updates, anomaly detection) aligned with modern FP&A transformation trends.
• Evaluate and implement new BI, data automation, and reporting tools to scale the finance function.
• Deliver monthly and quarterly reporting packages, variance analyses, and KPI dashboards.
• Improve financial discipline by identifying risks/opportunities early and supporting mitigation or investment recommendations.
• Enhance forecast accuracy through automation, data integrity improvements, and AIassisted forecasting approaches.
• Own the preparation and review of debt covenant calculations, including leverage ratios, fixedcharge coverage, liquidity, and other financial maintenance covenants as defined in credit agreements.
• Partner with Controllership and external advisors to ensure accurate covenant compliance reporting tied to GAAP results and permitted adjustments.
• Maintain detailed covenant calculation models and supporting schedules to facilitate internal review, lender requests, audits, and credit agreement amendments.
• Support ongoing lender reporting requirements, including monthly/quarterly compliance certificates, cash flow reporting, and variance explanations versus forecast.
• Assist with refinancing activities, credit agreement modifications, amendments, and incremental debt transactions by providing pro formas, leverage analyses, and sensitivity scenarios.

Senior Manager, Financial Planning & Analysis

Solutions Engineer

• Build owned AI capabilities (40-50% of time): Work within the GenAI team to design, develop, and operate specific GenAI features and shared services that are owned by our team. Contribute to our product roadmap, participate in sprint ceremonies, and deliver production-grade AI capabilities that serve as reference implementations for the broader organization.
• Embed & govern with product teams (40-50% of time): Rotate across product engineering teams as the technical representative of our team and AI steering committee, joining each squad for 1–3 sprints (typically working with 4–6 teams per year). You'll ensure proposed solutions align with enterprise architectural standards, leverage shared patterns and services our team has developed, and incorporate latest GenAI best practices. You'll review designs for compliance, identify reuse opportunities, prevent redundant builds, and guide teams toward approaches that support long-term maintainability and cross-team consistency.
• Architect production-grade solutions: Design and implement LLM patterns (e.g., RAG, finetuning, function/tool calling, agent workflows). Select models/services (e.g., Azure OpenAI, OpenAI, AWS Bedrock, Vertex AI) and integrate with existing microservices and data platforms.
• Data & retrieval: Build high quality retrieval pipelines (document chunking, metadata strategy, hybrid search) and manage vector stores for accuracy, coverage, and freshness.
• Quality, safety & governance: Establish evaluation pipelines (automatic and human-in-the-loop), prompt/version management, guardrails, incident playbooks, and Responsible AI controls (privacy, bias, safety).
• Performance & cost optimization: Instrument telemetry, monitor latency/quality, apply caching/streaming/batching, and manage token budgets to meet SLAs and reduce spend.
• Maintain technology radar: Stay current with the rapidly evolving GenAI landscape, evaluate new models/frameworks/patterns, and work with the steering committee to update enterprise standards. Ensure teams benefit from latest advancements without architectural chaos.
• Enable & upskill: Create reusable reference architectures, prompt libraries, SDKs/components (e.g., Semantic Kernel or LangChain), and run workshops/pairing sessions to elevate team capability.

GenAI Solutions Architect

Pre-sales Engineer

• Deliver instructor-led training (both virtual and on-site) for customers on Power Factors flagship software products.
• Customize training sessions to address customer-specific use cases, workflows, and business needs.
• Collaborate with subject matter experts (SMEs), product managers, and customer success teams to maintain accurate and current training content.
• Provide feedback to the curriculum development team on content improvements based on real-time classroom experiences.
• Assist with the development of learning paths, persona based training, and overall customer training strategy.
• Stay up to date with product releases, new features, and industry best practices to ensure training remains relevant.
• Assist in developing training labs, scenarios, and hands-on exercises that reinforce key concepts.
• Act as a customer advocate by gathering feedback and identifying additional enablement opportunities.
• Support the development of certifications and competency-based assessments.
• Maintain excellent customer satisfaction scores and continuous improvement of training delivery.

Pre-Sales Engineer, Trainer

Engineer

• Rapidly prototype and iterate on innovative product concepts and features
• Build full stack applications from concept to deployment using modern frameworks and tools
• Integrate AI capabilities and LLMs into new product experiences
• Collaborate with cross-functional teams to identify opportunities for innovation at the intersection of technology and clean energy
• Design and implement scalable, maintainable code for both frontend and backend systems
• Experiment with emerging technologies and development methodologies to accelerate delivery
• Participate in technical discussions and contribute to architectural decisions
• Share knowledge and insights with the broader engineering organization

Engineer, Innovation Software

Security Engineer

• Monitor and interpret various SCADA cybersecurity standards and regulatory updates to ensure ongoing compliance within Power Factors products and services – including NERC CIP, IEC62443, NIS2, SOCI, and CRA.
• Collaborate with SCADA Delivery, Operations, Product, and Development teams to facilitate compliance with SCADA cybersecurity standards and regulations.
• Assist in the development, implementation, and maintenance of compliance policies, procedures, and controls.
• Conduct internal audits, self-assessments, and gap analyses to identify and mitigate compliance risks.
• Support Sales and Customer Support teams with client requests and questionnaires related to SCADA cybersecurity standards and regulations.
• Track and manage compliance tasks using governance, risk, and compliance (GRC) tools.
• Provide training and awareness on SCADA cybersecurity standards and compliance obligations to relevant personnel.