Role and Responsibilities:
This individual will work with Customers, Software Engineering, Data Scientists, Operational Technology, Security specialists, and Product Managers to develop solutions that providetimely,accurateperformance data.
Product responsibilities include dramatically improving the speed,reliabilityand consistency ofestablishingand maintaining the data connection. This includes
- Working with OT and Security specialists to define a reliable platform for on-site software deployments across a range of project technologies and sizes from solar DAS replacements to large utilitysolar+storagesystems.
- Working with software engineering to roadmap improvements to software solutions that securely provide performance data to asset managers and performance engineers.
- Working with software architecture tooptimizesolutions for reliability, quality, and cost.
- Partner with Data Scientists and ML Engineers to define AI models and agentic workflows that automate data quality monitoring, anomaly detection, androotcausediagnosis.
- Drive the integration of AI agents capable of coordinating OT signals, data ingestion pipelines, and human oversight workflows.
- Define success criteria and evaluation frameworks forAIpoweredfeatures including precision/recall, explainability, user trust, and operational reliability.
- Collaborate with UX Design to builddelightfulhumanintheloopexperiences that allow operators to supervise AI agents,validatedecisions, and intervene as needed.
- Work with Engineering to implement guardrails, observability, and versioning forAIdrivencomponents and agents.
Responsibilities include:
- Determinethe overall vision of Radian Generation’s Transport software.
- Define product strategies to resolve issues with the quality, completeness, and reliability of site data.
- Improve processes for monitoring and proactive response to data quality issues.
- Collaborate with internal / external stakeholders to understand their needs andtranslate them into product requirements.
- Identifyopportunities to simplify processes using AI automation anddomainspecificagent orchestration.
- Document use cases, feature descriptions, and user stories to buildviablebacklogitems.
- Translate user pain points into ML feature requirements, model behaviors, and agent capabilities.
- Manage the product backlog and prioritize features based on internal / externalneedsand shifting requirements.
- Oversee all stages of product design and development.
- Monitor and evaluate product progress at each stage of the process.
- Deliver updates to internal / external audience and provide training to end users.
- Continuouslymonitormodel and agent performance in production and influence iteration roadmaps.
- Additionalduties as assigned.
Preferred Experience
- 3+ years in a product role.
- Experience working in renewable energy (solar, wind or storage)
- Agile development processes.
- Handson experience using or integrating AI solutions (e.g., LLMs, ML models, automated agents) into business or product workflows.
- Ability to translate ambiguous user needs into structured prompts, agent goals, andAIenabledproduct features.
Required Qualification & Education
- Demonstrable expertise in Data Visualization or Analytics.
- Domain knowledge in solar / wind / storage.
Required Skills & Competencies
To perform the job successfully, the candidate shoulddemonstratecompetencies in performing the essential functions of this position by performing satisfactorily in each of these competencies:
- Technical knowledge in performance analysis for wind,solar, or storageprojects.
- Understanding ofIoT data streams and addressing scalability across many projects.
- ComfortoperatinginAIassistedproduct environments, including prompt design,reasoning aboutagent delegation, and evaluating AI outputs.
- Understanding how to blend statistical models, LLMs, andrulesbasedsystems to drive robust outcomes indatadependentenvironments.
- Ability to assess which parts of the data quality and transport pipeline are suitable for automation,semiautomation, or human oversight.
- Understanding ofthe economics of renewable energy and the impact of performance.
- Ability to communicate effectively (written,verbaland visual) with different audiencesand develop a deep understanding of each user’s goals while synthesizing common characteristics.
- A passion for renewable energy and a commitment to customersuccess.
- Self-sufficient, able to focus and to make trade-offs when needed tooptimizeoutcomeas conditionschangeandusesownjudgment.
- Demonstrates passion to learn in a rapidly growing andevolvingenvironment.
Preferred Skills & Competencies
- Experience working with AI agent frameworks or orchestration platforms.
- Knowledge of MLOps or DataOps pipelines, particularly around timeseries or IoT data.
- Use of agile planning tools such as Jira.
Physical Requirements:
Prolonged periods of sitting at a desk and working on a computer.
