Senior Engineering Manager

Ridgeline Logo

Ridgeline

πŸ’΅ $200k-$250k
πŸ“Remote - United States

Summary

Join Ridgeline's Agent Foundry team as a Senior Engineering Manager to lead the development of AI-powered agent workflows and infrastructure. You will collaborate with product, AI, and design leaders, contribute to the codebase, and mentor engineers. Responsibilities include establishing engineering processes, advocating for scalable systems, integrating generative AI practices, and driving alignment across teams. The role requires 7+ years of hands-on software engineering management experience, expertise with modern tech stacks, and a deep understanding of distributed systems. Preferred qualifications include experience with Retrieval-Augmented Generation and a background in financial technology. Ridgeline offers competitive compensation, including a salary range of $200,000-$235,000 (or $212,500-$250,000 in select locations), company stock plan, unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans.

Requirements

  • 7+ years in a hands-on software engineering management role, including experience architecting and delivering cloud-native applications
  • Proven success building and leading high-performing engineering teams, ideally in AI or data-intensive product environments
  • Expertise with modern tech stacks (e.g., Kotlin, Java, React, TypeScript, AWS)
  • Familiarity with deploying LLMs and related tools in production systems
  • Deep understanding of distributed systems, data modeling, and performance optimization
  • Exceptional communication skills and the ability to collaborate effectively with diverse stakeholders
  • Ability to manage competing priorities while supporting innovation and long-term strategy
  • Commitment to building equitable, inclusive, and engaged teams
  • Enthusiasm for experimentation, public learning, and embracing the evolving AI landscape

Responsibilities

  • Lead a team of engineers developing AI-powered agent workflows and infrastructure embedded in Ridgeline’s unified cloud platform
  • Collaborate with product, AI, and design leaders to align technical strategy with customer value and roadmap priorities
  • Contribute to the codebase during key initiatives while guiding overall architecture and development standards
  • Coach, mentor, and inspire engineers to grow in their careers and deliver high-quality, scalable software
  • Establish engineering processes and rituals that promote velocity, reliability, and ownership
  • Advocate for scalable abstractions and resilient agent orchestration that supports rapid iteration and learning
  • Integrate best-in-class generative AI practices including Retrieval-Augmented Generation (RAG), structured prompting, and LLM observability into production pipelines
  • Drive alignment across engineering, product, and design in a multi-location organization
  • Foster a learning culture that encourages experimentation, shared knowledge, and inclusivity
  • Champion high standards of code quality, testing, and operational excellence
  • Represent engineering in strategic planning and cross-functional initiatives

Preferred Qualifications

  • Experience with Retrieval-Augmented Generation, agent frameworks, or vector databases
  • Background in financial technology, especially investment operations or compliance workflows
  • Contributions to open-source, developer tooling, or engineering enablement efforts
  • Experience with AI tools like GitHub Copilot, ChatGPT, Anthropic Claude, or Amazon Bedrock
  • Track record of building inclusive hiring practices or driving DEI initiatives within engineering organizations

Benefits

  • 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement
  • Unlimited vacation
  • Educational and wellness reimbursements
  • $0 cost employee insurance plans

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