Lead advanced research and predictive modeling on residential housing and energy performance data. Apply causal inference, anomaly detection, regression, and model validation to improve Pearl’s SCORE and energy models. Develop new performance metrics, evaluate climate-risk data, collaborate with external research partners, and communicate findings through white papers, publications, and clear stakeholder explanations.

Owns Pearl’s backend, API, and data pipeline product roadmap. Translates technical changes into product requirements, acceptance criteria, release plans, and stakeholder communications. Partners closely with distributed engineering teams to resolve ambiguity, manage dependencies, coordinate deployments, validate releases, and maintain quality. The role requires strong backend product fluency, understanding of APIs, data models, pipelines, and deployment risks, plus excellent written communication and ownership from problem definition through delivery.

Respond to customer tickets and emails, resolve routine requests using documented processes, and escalate exceptions. Process and verify customer data, clean records, run batch uploads, maintain HubSpot CRM hygiene, and perform quality checks before report delivery. The role also supports onboarding documentation, trackers, reporting, list building, and process documentation. Success requires accurate high-volume execution, strong written communication, spreadsheet proficiency, independent queue management, and sound escalation judgment.