Tech Stack
AWSCloudCyber SecurityMicroservices
About the role
- Guide the engineering team responsible for building and scaling Lat 61, a platform that ingests, normalizes, and enriches diverse data sources.
- Shape engineering practices, grow and mentor a high-performing team, and drive delivery of core platform features.
- Oversee the design and build of core Lat 61 components, including data pipelines, APIs, and enrichment workflows.
- Translate product priorities into execution plans, ensuring delivery of high-quality, maintainable, and scalable code on time.
- Partner with Product, Data, and AI leaders to align technical direction with business needs and ensure seamless integration across the platform.
- Establish and enforce best practices around code quality, testing, CI/CD, observability, and cloud-native operations.
- Ensure the platform can handle diverse data sources, high-throughput ingestion, and mission-critical workloads to maintain scalability and reliability.
- Stay ahead of emerging technologies and frameworks, bringing modern tools and approaches into the engineering team.
Requirements
- 5+ years experience as an Engineering Manager or Tech Lead leading front-end and back-end engineering teams that deliver production-grade systems at scale.
- Engineering or Management experience in a B2B SaaS organization.
- Experience working on 0-1 products.
- Strong background in software engineering and cloud-native architectures (AWS).
- Hands-on experience with modern backend technologies (e.g., APIs, microservices, distributed data systems, containerization).
- Experience mentoring and growing engineering teams; comfortable setting technical direction and ensuring accountability.
- Strong communication and collaboration skills, with the ability to align engineering execution to product strategy.
- Business-oriented mindset: able to prioritize engineering work that creates measurable impact.
- Bonus Points: Engineering management experience in an AI or Cybersecurity product organization.
- Bonus Points: Expertise in data pipelines, streaming, or large-scale data processing is a strong plus.