Job Title: Product Manager: Energy Data Products

Location: Offices in San Francisco, Minneapolis, Denver (Remote is ok)

About Us:

Optiwatt’s mission is to reverse global warming through the advancement of home electrification. We make home energy usage cheaper, greener, and more simple by building towards the world’s largest network of connected homes to balance the electric grid. Our investors are some of the most active impact investing firms out there and we hold ourselves accountable to each other and the future generations of this planet. Do you want to straddle the intersection of technology and purpose on our growth trajectory to 1,000,000 homes and beyond? We hope so.

Role Overview:

As the Product Manager: Energy Data Products, you will join our growing Product team, focused on designing, building, and implementing innovative energy data product solutions with our Enterprise Utility partners. This hybrid role combines product management, hands-on data analysis, and solution delivery. You will work closely with our engineering, data science, customer success, GTM and customer teams to deliver impactful solutions that address the complex needs of the energy sector.

Key Responsibilities:
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Build out our data products and solutions for our growing customer base and internal teams
Conduct hands-on data analysis to identify trends, opportunities, and areas for optimization. You will need expert-level SQL / analytical skills to be successful in this role
Lead the product lifecycle from ideation to customer delivery. Customer delivery is a key component of this role
Work with enterprise partners to understand their requirements and tailor solutions accordingly
Collaborate with GTM and engineering teams to define product requirements and specifications
Partner with GTM teams to drive the go-to-market strategy for analytics solutions, including pricing, packaging, and positioning

Who We're Looking For:
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Experience: 3+ years of experience in product management, with a focus on data-driven products
Data Skills: High proficiency in data analysis tools (e.g., SQL, Excel) and experience interpreting and visualizing large datasets
Technical Background: Understanding of cloud-based data solutions, APIs and BI tools (e.g., Quicksight, Looker)
Go-to-Market: Proven track record of taking analytics products or data solutions to market, from development to commercial success
Problem-Solving: Ability to navigate complex problems, develop innovative solutions, and communicate them effectively to stakeholders and customers
Communication: Strong verbal and written communication skills, with the ability to convey technical concepts to non-technical audiences

Nice to Have:
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Experience working in the energy sector
Familiarity with geospatial data visualization and integration with third-party platforms

Why Join Us?
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Be part of an innovative team transforming the energy sector
Opportunity to work on cutting-edge technology that impacts real-world energy solutions
Collaborative and inclusive culture with opportunities for growth

Shine with us

The salary range for this job is $135,000 to $190,000, plus equity and commission compensation dependent on experience.

Optiwatt is a small startup that offers competitive salaries and benefits to all employees, rivaling the giants of the tech world. Some of these amazing perks include:
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Ability to work fully remote, hybrid, or in-person in San Francisco (Office on Market and Van Ness)
Stock options dependent on experience and salary flexibility
Healthcare, vision, and dental
$1,500 improvement or mental wellness purchase match
401k contribution and matching
Every other Friday off
Unlimited paid vacation/sick leave, including a mandatory 10 days off per year
Yearly company retreats to far-away places
Flexible work hours, and we mean it. We want you to work when you are most productive, no matter if you are a night owl, early bird, or live in a different US time zone
Paid career development opportunities (learn a skill!)
Expensed home office supplies, work travel, team entertainment, etc. as necessary