Senior Engineering Manager - AI

Who We Are

Arcadia is the technology company empowering energy innovators and consumers to fight the climate crisis. Our software and APIs are revolutionizing an industry held back by outdated systems by creating unprecedented access to the data and clean energy needed to make a decarbonized grid possible.

Arcadia platform

AI to decarbonization at scale

HQ: Washington, DC| $1B valuation | $500M+ capital raised since inception

What we’re looking for

Senior Engineering Manager (Level 5)

The ideal candidate is:

• A proven engineering leader who has scaled teams, coached senior engineers, and fostered a collaborative culture.
• Technically strong enough to provide architectural direction, challenge design decisions, and dive deep when needed.
• Experienced in building systems at scale—spanning data engineering, AI/ML, and distributed infrastructure.
• Passionate about leveraging technology to fight the climate crisis.
• Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more
• Able to mix classic scalable systems engineering with agentic workflows 
• Can be a highly effective individual contributor, diving deep into the code and systems being built

What you’ll do

• Lead and grow a team of engineers focused on building AI-driven and data-intensive systems for the Arcadia platform.
• Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
• Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs
• Balance management responsibilities (hiring, coaching, performance reviews, career growth) with technical leadership (architecture, system design, technical strategy).
• Drive end-to-end delivery of complex projects in partnership with Product, Data, and Infrastructure teams.
• Guide the adoption of modern AI/ML technologies, ensuring practical, scalable use in production.
• Foster a culture of high performance, ownership, and technical excellence.
• Establish engineering best practices in testing, observability, reliability, and CI/CD.
• Partner with leadership to define roadmaps, set priorities, and align execution with Arcadia’s strategic goals.
• Represent AI across the company, articulating technical trade-offs and championing innovation.
• Contribute directly to the AI systems development as part of a small and nimble team

What will help you succeed

• 15+ years of professional experience in software engineering, with at least 4+ years in engineering leadership roles.
• Strong technical background in AI/ML systems, large-scale data pipelines, and cloud-native platforms.

Hands-on experience with Python (preferred), modern ML frameworks (PyTorch/TensorFlow), and cloud services (AWS).

• Proven success in

  managing teams of 4–6 engineers

  , scaling processes, and building diverse, high-performance teams.
• Strong architectural design and system-thinking abilities—able to balance immediate product needs with long-term scalability.
• Excellent communication skills with ability to influence cross-functional stakeholders.
• Passion for sustainability, decarbonization, and using technology to create positive climate impact.
• Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more
  

Benefits

• Competitive compensation and employee stock options
• Hybrid/remote-first working model (India-based role, with global collaboration)
• Flexible leave policy
• Comprehensive medical insurance (self + family members)
• Annual performance cycle + quarterly recognition awards
• A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation
  

Eliminating carbon footprints, eliminating carbon copies.

Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. While we are currently unable to consider candidates who will require visa sponsorship, we welcome applications from all qualified candidates eligible to work in India

Thank you