Application Guide
How to Apply for Manager, AI Solutions & Analytics - Battery Storage
at Plus Power
🏢 About Plus Power
Plus Power is a leader in battery energy storage, a critical technology for grid decarbonization. Their mission to empower a greener grid offers the chance to work on cutting-edge AI solutions directly impacting renewable energy adoption and climate change.
About This Role
This role drives the integration of AI across the business, from building AI-powered copilots to scaling use cases. You'll bridge technical AI capabilities and business needs, directly shaping how the company operates and competes in the energy storage market.
💡 A Day in the Life
You might start by reviewing adoption metrics for a recently launched AI copilot, then meet with business stakeholders to identify new use cases. Afternoon could involve designing a prompt-based workflow in Copilot Studio, followed by a cross-team sync to standardize best practices for scaling AI solutions.
🚀 Application Tools
🎯 Who Plus Power Is Looking For
- Has 6-10 years of hands-on analytics/BI experience with a strong track record of deploying AI solutions in production, not just prototypes.
- Deeply experienced with enterprise AI platforms like Microsoft Copilot Studio, Perplexity AI, or Claude, and can architect solutions integrating these with modern data platforms (Fabric, Databricks, Snowflake).
- Proficient in SQL and Python for data manipulation and model deployment, with an ability to build end-to-end workflows from data ingestion to user-facing AI tools.
- Possesses strong change management skills and can translate ambiguous business problems into structured AI use cases while driving adoption across non-technical stakeholders.
📝 Tips for Applying to Plus Power
Highlight specific examples of AI solutions you've built (e.g., copilots, agents) and the business impact they delivered, not just technical details.
Tailor your resume to emphasize experience with the exact platforms listed (Microsoft Copilot Studio, Fabric, Databricks, etc.) – use keywords from the job description.
Include a case study or portfolio link showing how you transitioned an AI pilot to a scaled, durable process.
Demonstrate domain knowledge in energy or battery storage by mentioning any relevant projects or research in your cover letter.
Quantify your impact: e.g., 'reduced reporting time by 40% via AI-driven automation' or 'led adoption of AI tool among 200+ users.'
✉️ What to Emphasize in Your Cover Letter
['Passion for using AI to accelerate clean energy transition and grid reliability.', 'Proven ability to not only build AI solutions but also drive organizational adoption and change management.', 'Experience with enterprise AI platforms and modern data stacks, especially Microsoft ecosystem.', 'Results-oriented mindset with examples of moving AI from experimentation to production at scale.']
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Understand Plus Power's core business: battery energy storage systems (BESS) and their role in grid stability and renewable integration.
- → Read recent news or press releases about Plus Power's projects and partnerships to understand their strategic priorities.
- → Familiarize yourself with the AI operating model concept – how companies like Microsoft or BCG approach AI transformation.
- → Learn about the regulatory landscape for AI in energy (e.g., NERC CIP, data security requirements) to show awareness.
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Focusing only on technical AI skills without showing business acumen or change management experience.
- Submitting a generic cover letter that doesn't mention energy storage or the specific AI platforms listed.
- Failing to provide concrete examples of scaled AI solutions – avoid vague claims like 'I'm passionate about AI.'
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!