Senior Manager, Machine Learning
San Francisco, CA
- Pay
USD 245,000–295,000/year — pay source
Salary 245,000 – 295,000 USD per 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!
Read the full posting- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full-Time
Read the full posting
What you’ll work on
Full postingAs a Senior ML Manager, you will serve as a player coach role for Gridware’s cloud-based modeling team.
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
From the employer’s posting
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.
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
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
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
What you’ll bring
All qualificationsCore experience
- 3+ years of direct management experience
- Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows
- Experience working with signal processing or sensor-derived data
- 8+ years of experience building and deploying machine learning models in production environments
- Experience at a growth-stage start-up
- Experience with both deep learning and classical machine/statistical learning techniques
Qualification wording
3+ years of direct management experience
Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows
Experience working with signal processing or sensor-derived data
8+ years of experience building and deploying machine learning models in production environments
Experience at a growth-stage start-up
Experience with both deep learning and classical machine/statistical learning techniques
Tools in this posting
- Python
Source — Tool mentions in context
- 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
Benefits in the posting
Full benefits wording- Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)
- Paid parental leave
- Commuter allowance
- Company-paid training
- Employment type
- Full-Time
From the employer’s posting.
About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid.
In the employer’s words · Read in context
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 Description
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
Salary
245,000 – 295,000 USD per 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
Employment type
Full-Time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
Salary 245,000 – 295,000 USD per 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!
- Location & working pattern
San Francisco, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 11, 2026
- Recorded sightings
- 24
- Last seen by us
- Oct 9, 2026
- Employer says posted
- Jul 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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