Summary:
Anaconda is seeking a talented GTM Engineer to join our rapidly-growing company. This is an excellent opportunity to leverage your experience and apply it to the world of data science, artificial intelligence, and machine learning. In this role, you will build and operate the intelligent automation systems, AI-powered workflows, and process execution layers that drive efficiency and revenue impact across Anaconda’s GTM organization. You are equal parts builder and operator — someone who can design a system in the morning and improve the process it supports by afternoon.
What You'll Do:
- Design, build, and continuously improve automated workflows that eliminate manual effort and accelerate execution across Sales, Marketing, and Customer Success using orchestration platforms such as Clay, n8n, Zapier, and custom APIs.
- Engineer AI-powered GTM execution layers — including automated call grading, AI-generated sales and QBR decks, MEDDPICC capture agents, and intelligent pipeline enrichment — using LLMs, prompt engineering, and API integrations.
- Identify process inefficiencies across GTM functions and own the end-to-end design and implementation of solutions, from requirements through deployment and iteration.
- Build and maintain signal-based automation that captures real-time GTM data (buyer intent, rep activity, lifecycle events, pipeline shifts) and routes high-velocity actions to the right people and systems.
- Develop retrieval and insight systems using semantic search, embeddings, and enrichment pipelines to surface actionable GTM intelligence for reps, managers, and executives.
- Partner with GTM Operations, Sales, Marketing, and CS leaders to translate business needs into scalable automation; own initiatives from scoping through delivery and measure their impact.
What You Need:
- 5–7 years of experience in GTM operations, revenue operations, sales/marketing automation, or a closely related technical field within a B2B SaaS or high-growth tech environment.
- Hands-on experience designing and operating automated, data-driven workflows that create measurable efficiency gains or revenue impact for GTM teams.
- Proven ability to identify broken or manual processes and own the full cycle of solution design, build, and iteration.
- Demonstrated experience applying AI to GTM use cases — including LLM-based agents, prompt engineering, conversation intelligence tools, or API integrations with OpenAI or equivalent.
- Proficiency with GTM automation and orchestration platforms such as Clay, n8n, Zapier, HubSpot, Marketo, Gong, Nooks, or similar.
- Working knowledge of API design, event-driven architecture, and webhook management.
- Comfortable writing automation logic and scripts in SQL, JavaScript, and/or Python.
- Strong grasp of data modeling, enrichment strategies, and real-time data processing.
- Solid understanding of B2B sales cycles, ICP development, funnel dynamics, and GTM motions.
- Familiarity with CRM platforms (Salesforce preferred) as an integration and data destination — not necessarily as a primary build environment.
- Team attitude: “I am not done until WE are done.”
- Care deeply about fostering an environment where people of all backgrounds and experiences can flourish.You embody our values of Clarity, Care and Candor
- You care deeply about fostering an environment where people of all backgrounds and experiences can flourish
What Will Make You Stand Out:
- Experience building or deploying AI/LLM-powered GTM systems (e.g., content generation agents, automated deal intelligence pipelines, or intelligent pipeline enrichment).
- Comfortable with no-code/low-code platforms for rapid iteration and fast time-to-value.
- Experience with PLG (product-led growth) motions and in-product engagement strategies.
- Background in feature flagging, developer tooling, or DevOps workflows.
- Experience working in open-source, AI/ML, or data science-oriented companies.
- Familiarity with Anaconda products or expertise in modern AI/ML and cloud computing technologies.
- Experience working in a fast-paced startup environment
- Experience working in an open-source, AI, or data science-oriented company
Why You'll Like Working Here:
- You'll thrive in a high-performance environment where results are recognized and rewarded
- Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise.
- You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor.
- You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth.
The application deadline for this role is 05/23/2026; applicants will be reviewed on an ongoing basis until the role is filled.
The base salary range for this role is $135,000 - $176,000 for candidates in New York City and San Francisco, and $101,500 - $149,500 for other US-based team members, along with annual bonus potential, equity participation, and benefits.
Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.
In addition to base salary, we offer a comprehensive benefits package that includes:
- Flexible Vacation Policy
- Medical, Dental, and Vision Insurance
- Short Term and Long Term Disability
- Paid Parental Leave
- Monthly Wellness Stipend
- Employee Assistance Program and Mental Health Resources
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes.
By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Vanessa Macilwaine.
Anaconda is an EEO/AA employer M/F/V/D.