Senior Engineering Manager - AI

• 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.

• 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