GTM Engineer

Immuta is the Data Provisioning Company, helping organizations provision secure, governed data access at the speed modern business demands. We automate access by policy and by request—eliminating tickets, reducing risk, and enabling both humans and AI systems to work with data safely and instantly. Founded in 2015, Immuta is trusted by Fortune 500 companies and government agencies worldwide and operates as a hybrid workplace globally. Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst. Immuta has been recognized by Forbes as a top American startup employer, by Inc. Magazine and BuiltIn as one of the best workplaces, and by Fast Company as one of the top 50 most innovative companies. $267 million in total funding. Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ServiceNow, Citi Ventures, Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, Okta Ventures, StepStone, Ten Eleven Ventures, and Wipro Ventures. A hybrid workplace with offices in Boston, MA; Columbus, Ohio; College Park, Maryland. ABOUT THE ROLE We're hiring a Go-To-Market (GTM) Engineer to join the Growth organization, where you'll work directly with Sales, Marketing, RevOps, and beyond to translate GTM strategy into action by building systems, running experiments, activating signals, and scaling what works. This is a hands-on systems role. You'll design and ship the data pipelines, automation systems, scoring models, and AI-assisted workflows that power how Immuta identifies, reaches, and converts enterprise buyers. You won't be handing off requirements to an engineering team — you'll be writing the code, wiring the integrations, and owning the output end-to-end.

CORE RESPONSIBILITIES

Signal Aggregation & Scoring Systems Build and maintain ICP scoring models, intent signal pipelines, and account prioritization logic sourced across our stack (Salesforce, Apollo, Warmly, Clay, and more) Own the data transformation layer: pulling from CRM, enrichment APIs, and intent platforms, normalizing and enriching, and writing clean outputs back to Salesforce or downstream activation tools Partner with RevOps on data definitions and quality to ensure scoring logic runs on trustworthy inputs AI-Assisted GTM Workflows Apply LLMs to automate research, contact enrichment, signal extraction, and outreach personalization at scale Design workflows that are measurable, testable, and repeatable — not one-off prompts Reduce manual effort across Sales and Marketing by replacing high-frequency, low-complexity tasks with reliable automation Middleware & Integration Infrastructure Build lightweight orchestration systems that connect GTM tools across the stack Own the full lifecycle: standing up, maintaining, and iterating on integrations as the tool stack evolves Know when to use n8n vs a custom FastAPI endpoint vs a scheduled Python job, and implement whichever is right Experimentation & Measurement Build the scaffolding that lets the team run GTM experiments across audiences, channels, and messaging Instrument experiments with enough signals to distinguish what's working from what's noise Operationalize successful approaches by moving from one-off test to repeatable, scalable system

REQUIRED EXPERIENCE

Experience: 5+ years in Sales Ops, GTM Ops, RevOps, Marketing Ops, or a related technical role Python: Proficiency with pandas, data transformation pipelines, scoring model construction, and structured output formatting — comfortable owning a codebase, not just running scripts Integration Engineering: Hands-on experience building systems that ingest data from multiple sources, apply transformation logic at a midpoint layer, and route outputs to a destination (Zapier, n8n, or custom API orchestration) Salesforce: Strong data fluency — you know the object model, can write SOQL, and understand how CRM data needs to be structured to be usable downstream Problem Solving: Experience translating open-ended business questions into working systems with minimal specification; consulting, agency, or early-stage SaaS backgrounds are a strong fit LLMs: Familiarity with LLMs in production contexts — classification, extraction, summarization, and prompt chaining (not just vibe coding) Benefits At Immuta, our goal is to help bridge the gap between personal and professional growth, so that our team members can be well and thrive personally and professionally. After all, great professional success stories rarely happen without great personal success stories! Our generous benefits package given to all full time employees includes: 100% employer paid Healthcare (Medical, Dental, Vision) premiums for you and your dependents (including Domestic Partners) Stock Options Paid parental leave (Both Maternity and Paternity) Unlimited Paid time off (U.S. based positions) Learning and Development Resources Immuta provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, marital status, age, disability (including disability due to pregnancy) or genetics, protected veteran status, or any other characteristic protected by law. Immuta complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment. NOTICE TO THIRD PARTY RECRUITERS: Immuta does not accept candidates from third party recruiters. All candidates submitted through are considered to be submissions by the candidate and no submission will obligate Immuta to pay any third party for the referral or hiring of a candidate. #J-18808-Ljbffr Socket.dev