GTM Systems Engineer

Tulip; Somerville (MA); Hybrid; USD 90,000 - 115,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Short-term Disability

Long-term Disability

Life Insurance

AD&D Insurance

Flexible Spending Account (FSA)

Commuter Benefits

Parental Leave

401(K)

Job summary

Tulip in Somerville, MA is seeking a hands-on GTM Engineer who blends AI-powered tooling with real business impact. This hybrid role splits between building AI-native tools in Clay and integrating them with our GTM stack to support Sales, Marketing, CS, and Revenue Ops.

You will ship production-grade automations, design reliable data flows, and measure adoption and business impact while collaborating with Product, Engineering, and Data teams to drive revenue growth.

Qualifications

• 3-5+ years in GTM Engineering, Revenue Ops, or software engineering building data/AI-driven apps.
• Hands-on experience shipping AI-powered workflows that solve real business problems.
• Familiarity with Clay and GTM tech stack including Salesforce, Gong, ZoomInfo, Looker.
• Comfort writing scripts or connecting systems via APIs/webhooks to move data between tools.

Responsibilities

• Design, build, and ship AI-native tools and automations in Clay and related platforms.
• Integrate LLMs into production GTM workflows (CRM enrichment, account scoring, deal intelligence).
• Evaluate GTM ecosystem (Salesforce, Clay, Gong, ZoomInfo) and build reliable integrations.
• Diagnose gaps in GTM workflows and scope initiatives into measurable solutions.
• Partner with Revenue Operations, Sales, Marketing, CS, and Finance to translate requests into tools.
• Own end-to-end delivery: prototyping, deployment, monitoring, and iteration.

Skills

GTM Engineering

AI workflows

Clay platform

APIs and webhooks

LLMs integration

BI tools

Bachelor's degree

Education

Bachelor's degree

Tools

Salesforce

Gong

ZoomInfo

Looker

Python

JavaScript

SQL

Job description

This role is located in Somerville, MA – We are a hybrid work environment and are in the office 3+ days per week.

Tulip brings modern technology and AI into manufacturing. Manufacturing accounts for almost 20% of the global economy and one in every seven workers on Earth, yet remains among the least digitized. More than a decade ago, we created the category to close that gap: AI-native software that puts cutting‑edge tools directly in the hands of the people on the manufacturing front lines. Because we are human‑centered and tech‑obsessed, we are building a future of work where human ingenuity is amplified with the latest technology.

In January 2026 we became one of Boston's few new AI unicorns, reaching a $1.3B valuation. We're growing double digits in revenue year over year. The world's best manufacturers run on Tulip - turning inventory 10x faster, releasing gene therapies in hours instead of weeks, and training master craftspeople to forge engagement rings 5x more rapidly. Headquartered in Somerville, MA with offices in Germany, Hungary, Singapore, Japan, and Israel, we've been consistently named a World Economic Forum Global Innovator, a Gartner leader, and one of Built In Boston's "Best Places to Work."

We run the way we build: AI‑forward, humanistic, and high ownership. We're looking for builders who are energized by complex problems, rapid cycles, and the unique opportunity to see their impact on a global scale.

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.

What skills do I need?

• 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 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

Key Collaborators:

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

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
• 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

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.

The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range posted, actual compensation will be determined depending on multiple factors including job‑related knowledge & skills, experience, business needs, geographical location, market compensation data, and internal equity. Expected compensation ranges for this role may change over time. The salary range for this position is $90,000 – $115,000 per year and is eligible for on‑target‑earnings (OTE).

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.