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Tulip Interfaces is an AI-native software platform for manufacturing, recently valued at $1.3B (January 2026). The company brings modern technology and AI to the manufacturing sector, which accounts for nearly 20% of the global economy yet remains largely undigitized. Tulip's platform empowers frontline manufacturing workers with cutting-edge tools, helping customers achieve dramatic improvements: 10x faster inventory turns, gene therapy production in hours instead of weeks, and 5x faster craftsperson training.
This Revenue Operations Engineer role is a hybrid position based in Somerville, MA (3+ days/week in office) that bridges engineering and go-to-market operations. You will design, build, and ship AI-native tools, agents, and automations using Clay and adjacent platforms to accelerate Sales, Marketing, Customer Success, and Revenue Operations workflows.
Key responsibilities include: building AI-powered workflows and agentic automations that solve real GTM problems; integrating LLMs and agentic patterns (prompt design, retrieval, evaluations) into production workflows such as CRM enrichment, account scoring, deal intelligence, and automated outreach; evaluating and evolving the GTM technology ecosystem (Salesforce, Clay, Gong, ZoomInfo); diagnosing gaps in core GTM workflows and prioritizing root-cause fixes over band-aid automation; partnering with stakeholders across Revenue Operations, Sales, Marketing, Customer Success, and Finance to translate ambiguous requests into well-scoped, measurable solutions; owning end-to-end delivery including prototyping, backend services, deployment, monitoring, and iteration with production-grade reliability and data-quality guardrails; and measuring adoption and business impact to inform prioritization.
You'll collaborate closely with GTM Operations, Sales, Marketing, Customer Success, Professional Services, Product, Engineering, Data teams, and commercial leadership.
Required qualifications: 3-5+ years in GTM Engineering, Revenue Operations, Business Systems, or software engineering building data/AI-driven applications (ideally B2B SaaS); hands-on experience building and shipping AI-powered workflows or agentic automations solving real business problems; deep familiarity with Clay and the broader GTM tech stack (Salesforce, Gong, ZoomInfo, Looker); comfort writing scripts and connecting systems via APIs/webhooks (Python, JavaScript, SQL); proven ability to operate through ambiguity and ship iteratively; Bachelor's degree or equivalent. Preferred: experience integrating LLMs/ML into production systems (RAG, evaluations); familiarity with data warehouses or BI tools (Redshift, Sigma).
