Senior Fleet Intelligence Analyst

Gridware; San Francisco (CA); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Health, Dental & Vision

Paid parental leave

Alternating day off

Off the Grid paid break

Commuter allowance

Company-paid training

Job summary

Gridware, a San Francisco‑based tech company, seeks a Senior Fleet Intelligence Analyst to own fleet issue detection and incident learning at the device health layer across hardware programs. You will design a tiered triage pipeline, tune detection logic, and lead cross‑functional postmortems to prevent repeats of the same issues.

You will build dashboards, set thresholds, and drive continuous improvements in triage accuracy and incident response with hardware, firmware, and connectivity teams.

Qualifications

• Bachelor's degree in a relevant field or equivalent experience.
• 5+ years in data‑focused or operations roles with triage or incident response.
• Proficiency in SQL and Python for telemetry querying and automation.
• Experience designing prioritization and alerting in high‑signal environments.
• Strong analytical judgment and clear written communication.
• Experience leading cross‑functional postmortems with engineering teams.

Responsibilities

• Own and operate the fleet triage pipeline for device health issues from telemetry, field reports, and customer feedback.
• Define and tune detection logic, thresholds, and alerting rules across hardware, firmware, and connectivity data.
• Maintain a tiered triage approach (P0–P3) with SLAs and clear ownership.
• Build dashboards and queries to surface trends before incidents escalate.
• Lead end‑to‑end postmortems: timeline reconstruction, root cause analysis, action items.
• Track triage metrics and drive improvements across the pipeline.
• Document triage playbooks and runbooks to scale processes.

Skills

SQL

Python

Data analysis

Incident triage

Communication

Cross-functional

Postmortems

Education

Bachelor's degree

Tools

Databricks

PySpark

Pandas

Looker

Grafana

Datadog

Job description

About Gridware

Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

Role Overview

The Senior Fleet Intelligence Analyst owns the front line of fleet issue detection, prioritization, and incident learning at the device health layer — sitting at the interface of Gridware's hardware programs, including Gridscope and our connectivity solutions. As the deployed fleet scales, telemetry volume grows faster than any team can manually inspect, and not all signals matter equally. This role separates signal from noise, ensures the right issues reach the right teams before they become incidents, and leads the postmortem process to make sure the same class of issue doesn't go undetected twice.

You'll design and operate a tiered triage pipeline, tune the detection logic that surfaces emerging device health issues, and facilitate postmortems end-to-end — from incident timeline reconstruction through action item closure. This is a highly cross-functional role that blends data analysis, operational rigor, and structured incident learning across hardware, firmware, and connectivity domains.

Responsibilities

• Own and operate Gridware's fleet triage pipeline for device health issues, intaking signals from telemetry, monitoring, field reports, and customer feedback, and routing them through a tiered prioritization framework.
• Define and continuously tune detection logic, thresholds, and alerting rules that distinguish signal from noise across device health, connectivity, configuration, and environmental data.
• Maintain a tiered triage approach (P0–P3) with clear entry criteria, SLAs, ownership, and escalation paths across hardware, firmware, and connectivity stakeholders.
• Build dashboards and queries that surface emerging trends — shifts in last‑seen, connectivity degradation, configuration drift, anomalous failure clusters — before they reach incident severity.
• Investigate ambiguous fleet signals to determine scope, impact, and likely owner across the Gridscope and connectivity hardware programs; produce structured triage write‑ups that enable fast cross‑functional action.
• Lead postmortems end‑to‑end: facilitate blameless reviews, reconstruct incident timelines, drive root cause analysis, and own action items through to closure.
• Track triage and incident metrics (time‑to‑detect, time‑to‑acknowledge, false positive rate, repeat‑issue rate) and use them to iterate on the pipeline.
• Document triage playbooks, runbooks, and decision trees so the process scales beyond any one person.

Required Skills

• Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related field.
• 5+ years in a data‑focused or operations‑focused role (Data Analyst, Operations Analyst, Site Reliability Analyst, or similar) where triage, prioritization, or incident response was a core responsibility.
• Proficiency in SQL and Python for querying telemetry data and automating triage workflows.
• Demonstrated experience designing prioritization frameworks, alerting logic, or triage pipelines in high‑signal environments.
• Strong analytical judgment for distinguishing meaningful signal from noise in noisy, real‑world data.
• Excellent written communication, with a track record of producing concise, structured issue summaries and postmortem documents.
• Comfort facilitating cross‑functional discussions, including blameless postmortems with engineering, firmware, and operations stakeholders.

Bonus Skills

• Experience leading postmortems or incident reviews for IoT fleets, distributed systems, or large‑scale hardware deployments.
• Familiarity with Databricks, PySpark, Pandas, and observability tools (Looker, Grafana, Datadog).
• Exposure to time‑series telemetry, anomaly detection, and SLO/SLA design.
• Experience with power‑constrained, solar‑powered, or communication‑constrained connected devices.
• A passion for sustainability, clean tech, or the energy industry.

This describes the ideal candidate; many of us have picked up this expertise along the way.

Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.

Benefits

• Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)
• Paid parental leave
• Alternating day off (every other Monday)
• "Off the Grid", a two week per year paid break for all employees.
• Commuter allowance
• Company‑paid training

130000 - 150000 USD a year