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GTM Engineer

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Immuta
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

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 was recognized as the Snowflake Data Security Partner of the Year in June 2023.

• Immuta has been recognized by Forbes as a top American startup employer, by Inc. Magazine and Built In 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 Night Dragon, Snowflake, and Databricks, along with additional funding from Service Now, Citi Ventures, Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, Okta Ventures, Step Stone, 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 Business Development organization, where you’ll focus on driving pipeline and revenue through data-driven GTM execution. You’ll work in very close partnership with Marketing and Product to translate GTM strategy into action—running experiments, activating signals, and scaling what works.

This role is centered on execution and experimentation. You’ll be applying data, automation, and AI to enhance how Immuta reaches, engages, and converts enterprise buyers. Immuta sells into complex enterprise environments where relevance, credibility, and timing matter. This role exists to help the Business Development organization execute smarter GTM motions, partner more effectively with Marketing, and turn insight into action. By enhancing the collaboration between Sales and Marketing through data-driven insights and experimentation, this role directly supports a higher-quality pipeline and more efficient revenue growth.

WHAT

YOU'LL DO
  • Translate Sales and Marketing hypotheses into executable GTM experiments.
  • Rapidly test new audiences, signals, messaging, and channels.
  • Measure impact on pipeline, conversion, and efficiency, and help operationalize successful approaches.
  • Partner with Rev Ops to leverage clean, trustworthy CRM and enrichment data.
  • Define and apply ICP attributes, buying signals, and prioritization logic relevant to Sales-led motions.
  • Utilize AI-assisted analysis to uncover insights that enhance targeting, timing, and relevance.
  • Apply LLMs to automate research, summarization, signal extraction, and personalization.
  • Reduce manual effort across Sales and Marketing by improving GTM execution.
  • Ensure AI-assisted execution is measurable, testable, and aligned with revenue goals.
  • Work closely with Marketing to operationalize campaign strategy and improve downstream conversion.
  • Collaborate with Rev Ops on data definitions, quality, and handoffs.
  • Support Sales teams by improving signal visibility, prioritization, and activation.
THIS ROLE IS FOR YOU IF YOU
  • Think about GTM execution as an experimentation and activation problem.
  • Enjoy operating close to Marketing and Business Development while collaborating deeply with Sales.
  • Care deeply about measurable impact on pipeline, conversion, and efficiency.
EXPERIENCE & QUALIFICATIONS
  • 5+ years of experience in Sales Ops, GTM Ops, Growth, Rev Ops, Marketing Ops, or a related role.
  • Strong experience activating CRM and GTM data in B2B SaaS environments, specifically in the enterprise space.
  • Familiarity with data workflows, automation, and AI-assisted analysis.
  • Comfort working with modern AI tools (LLMs, classification, extraction).
  • Proven ability to influence cross-functionally.
Benefits
  • 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…
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