GTM Systems Engineer

About the Role

This is a hands-on engineering role split between two things: building the AI-native tools, agents, and automations that power Tulip's go-to-market motion, and partnering directly with Sales, Marketing, Customer Success, and Revenue Operations to keep those systems reliable, adopted, and delivering measurable impact in production. You'll work across Clay, LLM platforms, and the broader GTM tech stack.

About You

You are a builder who is energized by the intersection of modern AI and real commercial problems. You don't stop at a working prototype. You ship production-grade tools with the reliability, evaluation, and guardrails to hold up under daily use, and you move quickly through ambiguity without losing sight of the business problem you're solving.

Key Responsibilities

• Design, build, and ship AI-native tools, agents, and automations in Clay and adjacent platforms that make Sales, Marketing, Customer Success, and Revenue Operations faster and more consistent
• Integrate LLMs and agentic patterns (prompt design, retrieval, evaluations) into production GTM workflows such as CRM enrichment, account scoring, deal intelligence, and automated outreach
• Evaluate and evolve the GTM technology ecosystem (Salesforce, Clay, Gong, ZoomInfo, and emerging AI-native platforms), building integrations and automation frameworks that reduce manual effort and improve reliability
• Diagnose gaps in core GTM workflows: pipeline management, forecasting, sales enablement, and partner operations. Prioritize getting to the root cause, not just automating around a broken process
• Partner with stakeholders across Revenue Operations, Sales, Marketing, Customer Success, and Finance to turn ambiguous requests into well-scoped, measurable tools
• Own what you build end to end: prototyping, backend services, deployment, monitoring, and iteration. Put reliability, evaluation, and data-quality guardrails in place so AI features hold up in production
• Measure adoption and business impact of what you ship, and use that signal to decide what to build next and where to double down

Skills & Experience

• 3-5+ years of experience in GTM 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 solved a real business problem
• Deep familiarity with Clay (or a comparable enrichment/automation platform) and the broader GTM tech stack: Salesforce, Gong, ZoomInfo, Looker, and similar
• Comfort writing scripts or connecting systems via APIs and webhooks (Python, JavaScript, or SQL) to move data cleanly between tools
• Proven ability to operate through ambiguity: scoping vague stakeholder asks into well-defined, measurable solutions and shipping iteratively
• Experience integrating LLMs or ML into production systems (RAG, evaluations) is a plus
• Familiarity with data warehouses or BI tools (Redshift, Sigma) is a plus
• Bachelor's degree or equivalent hands-on experience

Key Collaborators

• GTM Operations / Revenue Operations
• Sales, Marketing, Customer Success, and Professional Services
• Product, Engineering, and Data teams
• Commercial leadership

Benefits

• Direct impact on product and culture
• Company equity
• Competitive benefits package including Health, Dental, Vision, Short-term Disability, Long-term Disability, Life Insurance, AD&D Insurance, Flexible Spending Account (FSA), Commuter Benefits, Parental Leave, and 401(K)
• Flexible work schedule and unlimited vacation policy
• Learning & Development program
• Virtual company events and happy hours
• Fitness subsidies
• An inclusive, dog-friendly office with diverse and inspiring colleagues

Location: Somerville, MA – hybrid work environment, in-office 3+ days per week.