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Bidgely

Energy data analytics with disaggregation insights

Senior Product Support Engineer

Customer SupportConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • Seven to ten years of experience in production support, technical support, application support, Site Reliability Engineering, DevOps, or related customer-facing technical roles.
  • Strong experience troubleshooting software-as-a-service or enterprise applications in production environments.
  • Hands-on experience with Amazon Web Services or Google Cloud Platform and Linux-based systems.
  • Strong SQL skills and experience with application log analysis and data investigation.
  • Experience with monitoring and incident management tools such as CloudWatch, Grafana, Opsgenie, Datadog, or similar platforms.
  • Working knowledge of Kafka, RabbitMQ, Amazon Simple Queue Service, or equivalent messaging systems.
  • Ability to read and write basic automation or diagnostic scripts using Python, Bash, or similar languages.
  • Experience with Jira, Zendesk, ServiceNow, or comparable ticketing and workflow tools.
  • Strong understanding of incident management, problem management, root cause analysis, service-level agreement management, and change or release practices.
  • Demonstrated ability to lead customer escalations and cross-functional technical discussions.
  • Excellent written and verbal communication skills, including the ability to explain technical issues to non-technical stakeholders.
  • Proven track record of taking ownership, driving closure, and improving support operations.

Responsibilities

  • Act as the primary escalation point for complex production issues and customer-impacting incidents.
  • Take end-to-end ownership of assigned and escalated issues, from initial triage through resolution, communication, root cause analysis, and preventive action.
  • Lead internal war rooms, customer calls, and critical issue-resolution meetings, ensuring clear updates, decisions, owners, and next steps.
  • Troubleshoot distributed applications, data pipelines, application programming interfaces, integrations, message queues, and cloud-hosted services.
  • Analyze application logs, system metrics, traces, database behavior, and data flows to isolate faults and validate fixes.
  • Investigate and resolve issues involving Kafka, RabbitMQ, Amazon Simple Queue Service, or similar messaging and queueing systems.
  • Maintain ticket hygiene and ensure support activity is documented according to agreed service-level agreements and operational standards.
  • Communicate with customers, Customer Success, Delivery, and internal stakeholders during incidents and escalations.
  • Partner with Engineering, Site Reliability Engineering, Product, Quality Assurance, and Delivery to resolve defects, reduce repeat incidents, and improve release readiness.
  • Provide the support perspective during design reviews, feature planning, release planning, and post-release reviews.
  • Identify customer-impacting risks before go-live and help ensure effective transitions of new capabilities to Product Support.
  • Proactively monitor platform health using tools such as CloudWatch, Grafana, Opsgenie, Datadog, or equivalent platforms.
  • Identify recurring issues, alert gaps, false positives, operational bottlenecks, and manual support work.
  • Drive improvements in monitoring, alerting, runbooks, knowledge articles, support workflows, and operational controls.
  • Automate repetitive support activities using Python, Bash, SQL, or other suitable tools.
  • Write root cause analyses that explain customer impact, timeline, contributing factors, corrective actions, and prevention measures.
  • Track corrective actions to completion and verify that fixes have reduced risk or recurrence.
  • Mentor Product Support Engineers and help them develop structured troubleshooting and incident management practices.
  • Develop and maintain troubleshooting guides, root cause analysis templates, playbooks, onboarding materials, and technical documentation.
  • Share product, platform, and incident knowledge through reviews, training sessions, and team forums.
  • Contribute to hiring, onboarding, and capability-building initiatives within Product Support.

Desired Qualifications

  • Experience supporting business-to-business software-as-a-service products, data platforms, application programming interfaces, or high-volume data-processing systems.
  • Experience in the energy, utilities, fintech, healthcare, or another operationally critical domain.
  • Familiarity with Site Reliability Engineering practices, observability, service-level objectives, and error budgets.
  • Information Technology Infrastructure Library certification or practical experience with formal incident and problem management frameworks.
  • Experience working with continuous integration and continuous delivery, cloud infrastructure, databases, or distributed systems.
  • Experience mentoring engineers or acting as a technical lead.
  • Exposure to Agile or Scrum delivery environments.

About the Company

Bidgely

Energy data analytics with disaggregation insights

Bidgely provides energy analytics that break down a building’s total energy use into appliance-level usage for utilities, SMBs, and consumers. It collects energy data and uses AI to identify how much power each appliance consumes, with tools like Home Energy Reports, Enterprise Analytics, and EV Analytics, plus services such as virtual energy assessments and smart alerts. Its edge comes from appliance-level disaggregation paired with a full analytics suite and services that cover gas, electrification, and decarbonization, enabling personalized insights and scalable demand management beyond basic usage data. The goal is to help utilities and end users save energy and reduce costs while advancing decarbonization and electrification of the energy system.

Company size
201-500
Company stage
Late Stage VC
Total funding
$110.6M
Headquarters
Mountain View, CA
Founded
2011

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