Gridware

Senior Manager, Machine Learning

Join Gridware Technologies in San Francisco as Senior Manager, Machine Learning. Lead and grow a cloud-based ML team, drive algorithm development, and shape strategic initiatives. Enjoy benefits like paid parental leave, commuter allowance, and a unique two-week paid break called 'Off the Grid.'
Gridware
Gridware
San Francisco, California, United States Flexible Full time USD 245k–295k yearly UTC-07:00

Gridware

Company Overview

Name

Gridware

Headquarters

California, United States

Founded

2020

Size

Approximately 30 employees (source: businessinsider.com).

What They Do

Gridware is a pioneering startup focused on enhancing grid resilience through innovative technology. Their core offering, Active Grid Response (AGR), utilizes pole-mounted Gridscope sensors that monitor various conditions on distribution power lines in real-time. These sensors are powered by solar energy and communicate through device-to-device, cellular, and satellite networks, ensuring continuous operation regardless of grid voltage (source: gridware.io). The technology is designed to detect a range of issues, including vegetation contact, downed lines, and equipment failures, enabling utilities to perform predictive maintenance and dynamic de-energization to prevent wildfires and outages (source: cbsnews.com). Target markets include U.S. electric utilities, particularly in wildfire-prone areas like California and the Midwest, with plans for international expansion in the future (source: promptloop.com). Their products integrate seamlessly with utility operations management systems, covering over 90 million field hours and serving 40% of U.S. customers through partnerships (source: gridware.io).

Projects & Track Record

Gridware has successfully deployed approximately 13,000 sensors across eight states, particularly in California's high-risk wildfire areas, covering around 1,000 miles of power lines. Their technology has been credited with preventing wildfires, as evidenced by reports of alerts that stopped smoldering vegetation from igniting (source: cbsnews.com). Notable integrations include partnerships with PG&E for high impedance fault detection and a pilot project with Puget Sound Energy aimed at improving storm and wildfire repair prioritization. In one instance, a Northern California circuit experienced a 70% reduction in outage patrol times, while a Midwest utility saved 400,000 outage minutes across four circuits (source: gridware.io). Ongoing projects include a 2024 pilot with NorthWestern Energy in Montana City, focusing on real-time asset monitoring to mitigate wildfire risks (source: northwesternenergy.com).

Recent Developments

In the past two years, Gridware has raised significant funding to support its growth and expansion efforts. In 2024, they announced a $26.4 million Series A funding round led by Sequoia Capital, following a $10.5 million seed extension in 2023 co-led by Lowercarbon Capital and Fifty Years (source: gridware.io). This funding is aimed at enhancing their U.S. operations and preparing for international deployments. Additionally, Gridware has received recognition for its innovative technology, including being named one of Time magazine's Best Inventions in 2022 for their Gridscope sensors and having founders featured in Forbes 30 Under 30 in 2023 (source: engineering.berkeley.edu). The company continues to deepen its partnerships with utilities, including a pilot program with NorthWestern Energy set for late 2024 (source: northwesternenergy.com).

Working There

Gridware offers a variety of engineering-focused roles, including positions in software engineering, electrical design engineering, data engineering, and technical recruiting. The company is built by linemen and engineers, reflecting a culture that emphasizes collaboration with field workers and a mission-driven approach to wildfire prevention (source: climatepeople.com). Hiring is concentrated at their Bay Area headquarters, where they are rapidly expanding their team to support sensor production and deployment efforts. The culture at Gridware is described as rigorous and mission-oriented, with a strong focus on achieving real-world results, such as the significant field hours logged by their technology (source: gridware.io). While specific employee benefits are not detailed in the sources, the venture-backed nature of the company suggests competitive startup perks may be available (source: cbsnews.com).


Last updated on Jul 28, 2026 | Report an issue

As a Senior ML Manager, you will serve as a player coach role for Gridware's cloud-based modeling team. You will help grow the existing team, improve algorithmic development frameworks, focus on strategic initiatives and direction for how we approach cloud sensor modeling, and establish best practices for a high throughput ML team.

Responsibilities

  • 70% team management and strategy, 30% IC time
  • Grow a high-performing team through hiring, coaching, performance management, and career development
  • Partner with software engineering and ML infrastructure teams to ship robust, production-grade ML systems
  • Own technical roadmap and execution for the cloud ML organization, balancing near-term product delivery with long-term technical investments
  • Lead technical design of algorithms that improve the speed, accuracy, and reliability of Gridware's automated hazard detection systems
  • Define data strategy and labeling requirements, including real-world data collection and synthetic data generation approaches
  • Explore and evaluate novel modeling approaches and research ideas to address existing and emerging automation challenges

Required Skills

  • 3+ years of direct management experience
  • 8+ years of experience building and deploying machine learning models in production environments
  • Experience with both deep learning and classical machine/statistical learning techniques
  • Strong programming skills with demonstrated proficiency in Python
  • Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows

Bonus Skills

  • Experience working with signal processing or sensor-derived data
  • Experience at a growth-stage start-up
  • Familiarity with human-in-the-loop or human-on-the-loop ML systems

$245,000 - $295,000 a year

This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!

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

Apply now

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About the role

July 28, 2026

July 28, 2026

Full time

Flexible

Company

USD 245k–295k yearly

Smart Grid

Gridware

gridware.io

  •  San Francisco, California, United States

8+ years in machine learning, 3+ years in management

UTC-07:00