GTM Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

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Salary

$124K-$215K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$93,011 U.S. median for this role

Projected growth (BLS Employment Projections)

+5.1% - Faster than average

82% above the BLS role benchmark for marketing aggregate.

Matched to SOC 13-1161 - Marketing aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Marketing From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

GTM Engineer San Francisco, CA We are hiring a highly technical and business-savvy Senior GTM Engineer for our Revenue Analytics team. This crucial role connects AI, data architecture, and sales strategy. You will identify, architect, and deploy high-impact Generative AI and agentic solutions across our GTM tech stack. The ideal candidate is an expert in building interconnected data layers, driving AI adoption across Field Sales and RevOps, and translating complex business challenges into scalable, automated technical workflows that directly boost revenue. What You'll Do: Identify and define high-impact AI use cases, taking them from prototype to full deployment within our CRM and sales workflows. Architect an interconnected GTM data layer that bridges marketing, sales, and conversational intelligence tools, enabling AI agents to seamlessly query and connect context across our entire tech stack. Enable the Field Sales and RevOps teams by building internal AI champions, educating stakeholders, and aggressively pushing the adoption of new AI workflows. Stay ahead of AI trends and best practices, particularly in Generative AI, LLMs, and agentic systems, to bring cutting-edge strategies to the revenue team. Conduct rolling audits of our existing GTM tech stack to maximize the native AI features of the tools we already pay for. What We're Looking For: 4-6+ years of experience in GTM Engineering, Business Systems, Revenue Operations, Solutions Engineering, Data Engineering, or similar technical operational roles within B2B SaaS, AI/ML, or high-growth environments. Proficiency in Python, JavaScript, and SQL, with a strong track record of coding real API integrations, building lightweight

Read the full description at navan.com. FewerJobs shows a preview and links to the original posting.