5+ years of software engineering experience, ideally with a focus on developer tooling, platform engineering, or internal-facing/DevX systems
Proven ability to build internal tools that make powerful AI capabilities accessible to engineers, including the judgment to know when to build vs. buy, and when to standardize vs. let teams experiment
A natural collaborator who earns trust with engineers quickly, understands real engineering pain points, and co-creates solutions that get adopted rather than shelved
Strong full-stack TypeScript proficiency, deep familiarity with API design and integration (RESTful services, MCP, and similar), and comfort working across a modern engineering tech stack
Production experience with AWS, CI/CD using Github Actions or similar tool, and a genuine understanding of AI safety and security, especially around code execution and access to internal systems
Experience with or strong interest in developer experience fundamentals: reducing friction, measuring engineering productivity, and treating internal tooling like a product with real users
Bachelor's degree in Computer Science, Engineering, or equivalent work experience
Key Responsibilities
Partner with engineering teams to identify the highest-leverage AI opportunities in the developer workflow: from code generation and review to testing, debugging, and internal tooling.
Own foundational architecture and standards for how agents model releases, and internal tools are evaluated, and deployed internally: including reliability, evals, efficiency, and secure tool access patterns
Build and improve the onboarding, documentation, and discovery layer that helps engineers find and adopt the right tools (skills catalogs, guides, internal wikis) rather than reinventing them
Stay plugged into Developer tooling trends externally to shape internal standards and roadmap decisions
Meaningfully contribute to organizational enablement for engineering, including internal learning programs, office hours, and change management as new tools roll out
Instrument and measure adoption and impact of internal AI tooling, and use that data to prioritize what to build next
Key Collaborators
Product Engineering Teams AKA Our Customers
Infrastructure & DevOps Teams
QA
Working At Tulip
We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered.
We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:
Direct impact on product and culture
Private Healthcare insurance
Company equity
Virtual company events and happy hours
Flexible work schedule and unlimited vacation policy
Team Lunches in KFT Hub and office snacks
Learning & Development benefits
HU Eyeglass Benefit
An inclusive, dog-friendly office with diverse and inspiring colleagues
We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.