Stanford Energy
Stanford Energy

6 Stanford Energy Library Jobs Hiring Near You

We're driving energy resilience, economic strength, and long-term prosperity by bringing AI ... Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, or PyTorch)

Technical Product Marketer

New York, NY

$182K - $211K/yr

... OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too ... Build and maintain a high-quality library of demo videos across use cases, personas, and stages of ...

Technical Product Marketer

San Francisco, CA

$196K - $227K/yr

... OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too ... Build and maintain a high-quality library of demo videos across use cases, personas, and stages of ...

Technical Product Marketer

New York, NY · On-site

$160K - $245K/yr

... OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too ... Build and maintain a high-quality library of demo videos across use cases, personas, and stages of ...

Stanford Energy Jobs Information

What is it like to work at Stanford Energy?

Stanford Energy is a collaborative and innovative organization that prioritizes interdisciplinary research and development to address global energy challenges.

The company's team structure is composed of experts from various fields, including engineering, physics, and computer science, working together to design and implement cutting-edge energy solutions. The work environment is dynamic, with opportunities for hands-on experimentation and collaboration with leading researchers and industry partners.

Working at Stanford Energy may appeal to individuals who are passionate about advancing sustainable energy solutions and are eager to contribute to groundbreaking research and development projects that have the potential to make a significant impact on the global energy landscape.

What makes Stanford Energy an attractive place to work?

Stanford Energy is a leading research and development organization that plays a significant role in shaping the future of the energy sector through its innovative and interdisciplinary approach. The company offers a dynamic and collaborative work environment that fosters creativity, open communication, and a culture of continuous learning, with opportunities to work on cutting-edge projects and technologies. By joining Stanford Energy, professionals can contribute to meaningful projects that address pressing global energy challenges, develop their skills and expertise, and be part of a community that values innovation, teamwork, and excellence.

Do workers at Stanford University get paid breaks?

Yes. Most people get paid breaks.
67% of people say they get paid breaks.
Based on data from 15 people who took the Breakroom Quiz between February 2025 and May 2026.

Does Stanford University pay people when they’re sick?

Yes. Most people get paid when they’re sick.
95% of people say they would get paid if they were sick but scheduled to work.
Based on data from 22 people who took the Breakroom Quiz between February 2025 and May 2026.

At Stanford University, are sick days and vacation days separate paid time off?

Sick days and vacation days are separate paid time off.
86% of people say they don’t have to use vacation days when they’re out sick.
Based on data from 21 people who took the Breakroom Quiz between May 2025 and May 2026.

Is the health insurance from Stanford University affordable enough for their workers?

Most people say the health insurance costs are okay.
100% of people say the health insurance costs are okay
Based on data from 21 people who took the Breakroom Quiz between March 2025 and May 2026.

Do people get paid time off at Stanford University?

Most people get paid time off work.
100% of people say they get paid time off.
Based on data from 22 people who took the Breakroom Quiz between May 2025 and May 2026.

Do workers at Stanford University worry about hours?

Most people don’t worry about getting enough hours.
100% of people report they don’t worry about getting enough hours.
Based on data from 12 people who took the Breakroom Quiz between February 2025 and March 2026.

Do Stanford University workers get to choose the shifts they work?

Some people don’t get to choose which shifts they work.
63% report that they don’t have enough control over which shifts they work.
Based on data from 8 people who took the Breakroom Quiz between March 2025 and January 2026.

How easy is it for Stanford University workers to change shifts?

Some people find it hard to change shifts.
40% of people report that it’s hard to change shifts if they need to.
Based on data from 5 people who took the Breakroom Quiz between February 2025 and August 2025.

How easy is it to get time off at Stanford University?

Most people find it easy to get time off.
84% of people report it’s easy to get time off.
Based on data from 19 people who took the Breakroom Quiz between February 2025 and May 2026.

Do Stanford University managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
100% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 9 people who took the Breakroom Quiz between February 2025 and January 2026.

Do jobs at Stanford University spill into time workers aren’t paid for?

Sometimes. The job can spill into unpaid time.
42% of people report that their job takes up time that they don’t get paid for.
Based on data from 12 people who took the Breakroom Quiz between February 2025 and March 2026.

How easy is it to take sick days at Stanford University?

Most people find it easy to take sick days.
87% of people report that it’s easy to take time off if they are sick.
Based on data from 23 people who took the Breakroom Quiz between February 2025 and May 2026.

Do people at Stanford University feel treated with respect by their managers?

Most people feel treated with respect by their managers.
88% of people say they’re treated with respect by their managers.
Based on data from 17 people who took the Breakroom Quiz between February 2025 and May 2026.

Do people at Stanford University get to take their breaks without interruption?

Most people get breaks without interruption.
75% of people report that they get to take their breaks without interruption.
Based on data from 20 people who took the Breakroom Quiz between February 2025 and May 2026.

Is it stressful to work at Stanford University?

Some people feel stressed out here.
55% of people say they often feel stressed out at work.
Based on data from 22 people who took the Breakroom Quiz between February 2025 and May 2026.

Do people at Stanford University enjoy their jobs?

Most people enjoy their job.
84% of people report they enjoy their job.
Based on data from 19 people who took the Breakroom Quiz between February 2025 and May 2026.

Do people at Stanford University recommend working with their team?

Most people recommend working with their team.
67% of people report that they would recommend working with their immediate team to a friend.
Based on data from 24 people who took the Breakroom Quiz between February 2025 and May 2026.

Do people get enough training when they start at Stanford University?

Most people got enough training when they started.
73% of people report they got enough training when they started working here.
Based on data from 22 people who took the Breakroom Quiz between February 2025 and May 2026.

Do people get support to advance at Stanford University?

Most people are given support to advance their career here.
In the last year, 70% of people report being given support to advance their career here.
Based on data from 23 people who took the Breakroom Quiz between February 2025 and May 2026.

Do people think Stanford University’s headquarters understands what’s happening where they work?

Some people think headquarters doesn’t understand what’s happening where they work.
58% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 19 people who took the Breakroom Quiz between February 2025 and March 2026.

Do workers feel well informed about how Stanford University is doing?

Only some people feel well informed about how the company is doing.
38% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 21 people who took the Breakroom Quiz between February 2025 and April 2026.
What are the most popular job types at Stanford Energy?
    Infographic showing various Library job openings at Stanford Energy in the United States as of August 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 88% Physical, 11% Hybrid, and 1% Remote job distribution.

    Data Scientist

    Arch

    San Francisco, CA • On-site

    Full-time

    Re-posted 27 days ago


    Job description

    Location: San Francisco | In-Person 3-4 Days/Week
    About Arch
    Arch powers frontline industries with cutting-edge AI.
    The US $800 billion frontline-services sector underpins the nation, yet many of these critical businesses still rely on spreadsheets, outdated software, and paper forms. We're driving energy resilience, economic strength, and long-term prosperity by bringing AI innovation to the services that need it most-starting with home energy.
    We're backed by Coatue, Floodgate, Gigascale, ReGen, MCJ Collective, and the founders of Aurora Solar.
    Compensation: Competitive salary + significant equity package based on experience.
    Role Overview
    We're hiring a Data Scientist to help architect the intelligence layer of Arch. You'll work directly with our CTO and founding team to model customer behavior, optimize campaign performance, and build scalable, production-ready machine learning systems.
    You'll have ownership from data collection to deployment, working in a highly iterative environment with direct feedback from real-world users. Your work will power high-stakes decisions that directly impact customer outcomes, product development, and revenue.
    This is a high-ownership, high-ambiguity role for someone excited to ship fast, learn from deployment, and move the needle in a mission-critical industry.
    What You'll Do
    • Develop and deploy predictive models to identify high-conversion leads and drive campaign targeting
    • Own the full ML lifecycle: from data acquisition, cleaning, and labeling to modeling, validation, and deployment
    • Analyze product performance and customer usage to inform roadmap and product design
    • Collaborate with the engineering team to productionize ML pipelines and integrate them into our backend systems
    • Work closely with leadership to build internal analytics, dashboards, and investor-facing insights
    • Prototype, experiment, and iterate quickly-balancing rigor with speed

    Qualifications
    Must-haves:
    • 3-6 years experience in data science, ML engineering, or analytics roles in fast-paced environments
    • Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, or PyTorch)
    • Familiarity with data pipelines, model evaluation, and deployment workflows
    • Proven ability to work independently in ambiguous contexts with high judgment and ownership
    • Experience working with business stakeholders to translate messy data into actionable insights

    Strong bonuses:
    • Experience with large-scale structured data (e.g., property, utility, or energy-related datasets)
    • Knowledge of marketing analytics, targeting models, or customer segmentation
    • Familiarity with modern data tooling (e.g., dbt, Airflow, Dagster, DuckDB)
    • Comfort with basic full-stack workflows or collaborating in a product engineering environment

    What We Value
    • First-principles thinking
    • Extreme ownership
    • Speed and bias for action
    • Low ego, high standards
    • Deep care for users

    Who You'll Work With
    Philipp (CEO) - Grew up on a Bavarian strawberry farm, built some of the world's largest solar plants, crafted growth strategies for F500 software companies at McKinsey, and studied at Stanford. Known for breaking through walls and never taking no for an answer. Ask him about his favorite SF cafés.
    Sacha (CTO) - Product-minded engineer from Belgium and Australia with deep AI expertise and YC startup experience. Previously built wildfire response systems that save lives. Obsessed with world-class UX, lightning-fast execution, and excellence at the intersection of design and engineering.
    Ready to build the intelligence layer for a new class of frontline systems?
    Apply below and help us power the future of energy.