Manager- Engineering
At Daybreak, we are on a mission to create a world of radical efficiency — a world without
waste. Our AI-native applications drive breakthrough performance in complex industrial
environments, helping enterprises slash inefficiencies and unlock sustainable growth.
We’re charting new territory at the intersection of AI, legacy systems, and industrial scale
— and we’re looking for a VP of Engineering to lead our Bangalore engineering hub into the
next era of impact.
The Role
We are seeking a servant-leader with a proven track record in full-stack product
development, scalable team leadership, and cross-regional collaboration. You’ll be a
foundational force in growing and evolving our AI-native decision
Team & Culture
• Lead and grow a high-performing 10–15-person engineering team (scaling to ~20).
• Foster a transparent, collaborative, “no-heroes” culture built on shared ownership
and continuous learning.
• Embed values of craftsmanship, curiosity, and humility into the team’s DNA.
Technical Ownership
• Drive end-to-end development of Daybreak, our AI-native decision platform, built
using:
o Frontend: React (TypeScript)
o Backend/Data: FastAPI, Data bricks, Dagster, GitHub, Nixtla
o AI/LLM: LangChain, LangGraph
o Infra: AWS, Terraform, Docker, Azure DevOps
o BI/UX: Luzmo, Playwright, Jest, Pytest, SonarCloud, Checkov
• Ensure code quality, scalability, and security with rigorous CI/CD and testing
standards.
Quality & Reliability
• Own architectural decisions, system scalability, performance, and operational
resilience.
• Drive automation and monitoring excellence with DevOps-first thinking and cloud-
native design.
People Development
• Coach and mentor engineers and team leads through actionable feedback, code
reviews, and pair programming.
• Set clear engineering standards and promote technical growth across the team.
Cross-Regional Partnership
• Act as a dependable and proactive partner to North American HQ.
• Collaborate closely with Product, Design, and Data teams across time zones.
• Provide candid, timely updates to stakeholders and adapt to dynamic priorities with
clarity and composure.
Must-Haves
- 10+ years in full-stack engineering roles (SaaS, platform, or AI-focused).
- 5+ years leading engineering teams, including leads.
- Sufficient hands-on exposure to analytics engineering — data transformation pipelines, orchestration (Dagster, dbt, or equivalent), data modeling, and observability — to set quality standards, evaluate technical decisions, and hire strong analytics engineers.
- Strong experience across our stack or equivalent: React, FastAPI, Python, Data bricks, AWS, Docker, Terraform.
- Proven ability to lead engineering functions at a high-growth or product-centric
- company.
- Excellent written and verbal communication skills in English.
- A servant-leader mindset focused on scaling people, not just processes.
Nice-to-Haves
- Prior experience working in hybrid cloud/on-premise environments.
- Deep understanding of CI/CD best practices, automated testing, and security
- compliance.
- Exposure to enterprise SaaS or supply chain/manufacturing tech domains.
Why Join Us
• Shape the future of AI applications in industry alongside a world-class team.
• Work in a culture that values intellectual curiosity, transparency, and technical
excellence.
• Competitive compensation, equity, and a meaningful mission.
Daybreak is an Equal Opportunity Employer. We welcome all backgrounds and experiences, and are committed to building an inclusive, high-performing team.
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