Software Engineering Manager (Agentic AI)

• The team is responsible for a new agent-native canvas based authoring and administration experience that maps customer production systems — its apps, data, automations, and the context around them — an effort that will redefine how customers compose, deploy, and operate apps on our platform
• The team also handles the asset import/export experience across the product, enterprise governance features, and integration with Tulip Library
• Own the technical architecture and delivery of Tulip’s new agent-native app-building product
• Hire, mentor, and grow a team of 3-5 engineers capable of operating with high autonomy and quality from day one
• Establish engineering standards: testing, observability, and AI-driven development practices for the team
• Partner with Infrastructure and other Engineering teams to evolve Tulip’s API surface and runtime so agents have what they need without compromising the existing platform
• Collaborate deeply with product, design, and customer-facing teams as a product threaded team, with shared ownership of outcomes
• Cultivate an AI-first development culture and continuously raise the bar on velocity and quality
• Key Collaborators
• Product Management & Design
• Engineering Leadership
• Infrastructure & QA
• Tulip Customers and Customer Success

Benefits

• Impactful Work: Have a direct impact on product and culture
• Work/Life Balance: Flexible work and unlimited vacation policy, virtual company events and happy hours
• Additional Perks: Commuter benefits, a work-from-home stipend, fitness subsidies
• Competitive Benefits: Healthcare, Dental, Vision, Short-term Disability, Long-term Disability, Health Reimbursement Account (HRA)
• Family-Friendly Policies: Parental Leave, 401K & Life Insurance
• Employee-Led Communities: Parents@Tulip, Hey Lady, Allies@Tulip and more

• You bring high levels of technical acumen and people management skills, 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
• 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
• You have strong product-engineering instincts — you can prototype quickly, prune scope, and decide what to ship versus what to throw away
• Expertise in contemporary tech stacks including React, Node.js, MongoDB, and Postgres, with experience deploying in multi-cloud and multi-tenant environments
• 3+ years of people management experience leading a software development team, with hands-on technical leadership, architecting solutions, and staying close to the code
• Bachelor’s degree in Computer Science or related field, or equivalent working experience
• Experience building and scaling AI systems in production, including, agent orchestration and context management, retrieval pipelines and vector stores, tool invocation and MCPs
• Active use of AI tooling in your own practice, with a point of view on how it changes the way teams build
• 7+ years experience in software engineering, with experience building and scaling large SaaS products and complex distributed systems
• Experience designing and running evaluations for agentic systems — defining success criteria, building task suites, and measuring reliability across multi-step tool use