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Tulip Interfaces

No-code platform for manufacturing operations

GTM Systems Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSomerville, MA, USA

About the Job

Requirements

  • Three to five or more years of experience in go-to-market engineering, revenue operations, business systems, or a software engineering role building data- or AI-driven applications, ideally within B2B SaaS.
  • Hands-on experience building and shipping AI-powered workflows or agentic automations that solve a real business problem.
  • Deep familiarity with Clay or a comparable enrichment and automation platform, and the broader go-to-market technology stack, including Salesforce, Gong, and ZoomInfo.
  • Ability to write scripts or connect systems via application programming interfaces and webhooks using Python, JavaScript, or SQL.
  • Ability to scope ambiguous stakeholder requests into well-defined, measurable solutions and ship iteratively.
  • Bachelor's degree or equivalent hands-on experience.

Responsibilities

  • Design, build, and ship AI-native tools, agents, and automations in Clay and adjacent platforms to help Sales, Marketing, Customer Success, and Revenue Operations work faster and more consistently.
  • Integrate large language models and agentic patterns, including prompt design, retrieval, and evaluations, into production go-to-market workflows such as customer relationship management enrichment, account scoring, deal intelligence, and automated outreach.
  • Evaluate and evolve the go-to-market technology ecosystem, including Salesforce, Clay, Gong, ZoomInfo, and emerging AI-native platforms; build integrations and automation frameworks that reduce manual effort and improve reliability.
  • Diagnose gaps in core go-to-market workflows, including pipeline management, forecasting, sales enablement, and partner operations, and identify root causes rather than merely automating around broken processes.
  • Partner with stakeholders across Revenue Operations, Sales, Marketing, Customer Success, and Finance to turn ambiguous requests into well-scoped, measurable tools.
  • Own tools end to end, including prototyping, backend services, deployment, monitoring, and iteration; establish reliability, evaluation, and data-quality guardrails for production AI features.
  • Measure adoption and business impact of delivered tools and use the results to determine what to build next and where to focus.

Desired Qualifications

  • Experience integrating large language models or machine learning into production systems, including retrieval-augmented generation and evaluations.
  • Familiarity with data warehouses or business intelligence tools such as Redshift and Sigma.

About the Company

Tulip Interfaces

No-code platform for manufacturing operations

Tulip Interfaces builds a no‑code digital platform for manufacturers to run operations more smoothly. It lets teams create custom, media-rich interfaces that connect to sensors, devices, and existing systems without writing code. These interfaces guide work steps, capture data, and automate tasks to help with batch releases, compliance, and quality checks. Because the platform is designed specifically for manufacturing, it easily integrates with factory equipment and processes, and can be multilingual and adaptable to different workflows. This makes Tulip different from general software by focusing on manufacturing needs, offering easy integration, and giving teams the ability to build and modify apps quickly without developers. The company’s goal is to help manufacturers boost productivity, reduce defects, and stay agile by delivering scalable digital solutions that improve everyday operations.

Company size
201-500
Company stage
Series D
Total funding
$290.9M
Headquarters
Somerville, MA
Founded
2012

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