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Software Engineering Manager (Agentic AI)

Tulip Interfaces

Skills

Required

  • software engineering
  • context management
  • architecting systems
  • sandboxed execution
  • React
  • Node.js
  • MongoDB
  • Postgres
  • multi-cloud and
  • multi-tenant environments
  • LLM

Join Tulip, a leading company in the AI-driven development space. As a Software Engineering Lead, you will lead the engineering team in building a new agent-native app-building product. You will own the technical architecture and delivery, hire and mentor a senior team, establish engineering standards, and collaborate with product and design teams. You will have a direct impact on the product and culture, enjoy a flexible work-life balance, and receive competitive benefits.

Lead the engineering team in building and delivering Tulip's new agent-native app-building product, ensuring technical architecture and delivery.

About Tulip Interfaces

You bring high levels of technical acumen and people management skill, honed over years of building and delivering SaaS products, and you're energized by the chance to build at the edge of what AI models can do

You have strong opinions about agent architectures, context management, and building scalable systems, and you're passionate about mentoring engineers and helping them grow

Responsibilities

  • Hire, mentor, and grow a senior engineering team, establishing engineering standards and fostering an AI-first development culture.
  • Collaborate with product, design, and other engineering teams to evolve Tulip's API surface and runtime, ensuring alignment with product goals.
  • You're a collaborative, motivated self-starter who leads from the front, brings your authentic self to work, and wants to help shape how this team operates as a reference point for AI-driven development across the broader engineering org

Requirements

  • 7-8+ years experience in software engineering, with experience building and scaling large SaaS products and complex distributed systems
  • Hands-on experience architecting systems that integrate agentic and generative AI capabilities, including tool use, context management, sandboxed execution, and long-running workflows
  • Expertise in contemporary tech stacks including React, Node.js, MongoDB, and Postgres, with experience deploying in multi-cloud and multi-tenant environments
  • Experience building and scaling AI systems in production, including LLM fine-tuning and evaluation, agent orchestration and context management, retrieval pipelines and vector stores, tool invocation and MCPs, guardrails and safety layers, and end-to-end observability for non-deterministic systems
  • 2-3+ years of experience leading software development teams with strong hands-on technical leadership, architecting solutions, and staying close to the code
  • Cross-functional leadership with product, design, and customer-facing teams to deliver features end-to-end

Pay

USD 160,000 - 220,000

Benefits

  • Strong product-engineering instincts: you can prototype quickly, prune scope, and decide what to ship versus what to throw away