Sales Engineer
EMT Groupe, LLC
New york,
New york,
United States
Sales
H-1B
Job posted on May 25, 2026
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Job Description:
Company Description EMT Groupe, LLC is a boutique agency dedicated to providing comprehensive services that cater to the needs of individuals and small businesses. Known for personalized solutions, EMT Groupe prides itself on its client-focused approach. The company is committed to supporting growth and innovation, ensuring their clients thrive in competitive markets. Based in New York, NY, EMT Groupe offers expertise across various industries, creating significant value for its clients.
📍 San Mateo and NYC (Hybrid — 3 days/week onsite)💰 Base: $165K–$190K | OTE: $240K–$270K | 70/30 base-variable split📈 Competitive equity🛂 Visa sponsorship available — H-1B transfers and other straightforward visas covered👥 Hiring 2 for this role
Role Description You’ll own the technical strategy for revenue-critical deals — from discovery through solution design, proof-of-value, and close. That means partnering tightly with Account Executives, shaping architecture conversations, removing deal risk early, and elevating the dialogue from feature comparison to strategic positioning using real market context: Gartner frameworks, AI adoption curves, DevOps and engineering intelligence trends.
You’ll also serve as the structured voice of the field — capturing objections, buyer friction, and competitive dynamics and translating them into actionable insight for Product and GTM leadership. What you learn in the field should influence roadmap, demo strategy, and positioning. This is a quota-carrying role reporting directly to Thomas Gerber.
Qualifications • Have 6+ years in sales or solutions engineering, with 5+ of those in a pre-sales capacity • Have spent meaningful time (3+ years) at a startup — and genuinely thrived in that environment • Know the developer tooling or engineering-facing SaaS space well (CircleCI, LaunchDarkly, PagerDuty types of companies are a strong signal) • Can speak credibly about the software development lifecycle, cloud infrastructure, DevOps toolchains (GitHub, Jira, Datadog, CI/CD), and enterprise data architectures • Are familiar with the AI coding assistant and AI agent landscape — and can contextualize it for enterprise buyers • Have at least one role where you stayed 3+ years and either got promoted or took on significantly more scope • Are comfortable navigating enterprise-level customers — from engineers to executives — and understand what it means to sell a product that’s still maturing • Are open to occasional travel for in-person customer engagement
This probably isn’t the right fit if you: • Built your entire career at Salesforce, Oracle, or IBM and haven’t experienced the startup pace recently • Have a resume that reads like a new company every 12–18 months with no clear upward trajectory
APPLY NOW
📍 San Mateo and NYC (Hybrid — 3 days/week onsite)💰 Base: $165K–$190K | OTE: $240K–$270K | 70/30 base-variable split📈 Competitive equity🛂 Visa sponsorship available — H-1B transfers and other straightforward visas covered👥 Hiring 2 for this role
Role Description You’ll own the technical strategy for revenue-critical deals — from discovery through solution design, proof-of-value, and close. That means partnering tightly with Account Executives, shaping architecture conversations, removing deal risk early, and elevating the dialogue from feature comparison to strategic positioning using real market context: Gartner frameworks, AI adoption curves, DevOps and engineering intelligence trends.
You’ll also serve as the structured voice of the field — capturing objections, buyer friction, and competitive dynamics and translating them into actionable insight for Product and GTM leadership. What you learn in the field should influence roadmap, demo strategy, and positioning. This is a quota-carrying role reporting directly to Thomas Gerber.
Qualifications • Have 6+ years in sales or solutions engineering, with 5+ of those in a pre-sales capacity • Have spent meaningful time (3+ years) at a startup — and genuinely thrived in that environment • Know the developer tooling or engineering-facing SaaS space well (CircleCI, LaunchDarkly, PagerDuty types of companies are a strong signal) • Can speak credibly about the software development lifecycle, cloud infrastructure, DevOps toolchains (GitHub, Jira, Datadog, CI/CD), and enterprise data architectures • Are familiar with the AI coding assistant and AI agent landscape — and can contextualize it for enterprise buyers • Have at least one role where you stayed 3+ years and either got promoted or took on significantly more scope • Are comfortable navigating enterprise-level customers — from engineers to executives — and understand what it means to sell a product that’s still maturing • Are open to occasional travel for in-person customer engagement
This probably isn’t the right fit if you: • Built your entire career at Salesforce, Oracle, or IBM and haven’t experienced the startup pace recently • Have a resume that reads like a new company every 12–18 months with no clear upward trajectory