Jobgether

Founding Sales Engineer

Jobgether United States · $150K–$190K/yr

Internet Marketplace Platforms · 11-50 employees

13 h ago
Remote solutions-engineer Mid (2-5 yrs) Full-time United States
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About the role

The Founding Sales Engineer will own the full sales cycle for mid-market and enterprise accounts, from initial discovery to contract closure. They will collaborate with executive leadership and product teams to shape sales strategies and drive growth within the AI infrastructure market.

What they look for

Sales Technical sales AI infrastructure Cloud infrastructure MLOps Developer tooling Pipeline generation CRM HubSpot Consultative selling Account management Negotiation Technical demonstrations Strategic planning Communication Data-driven decision making

Requirements

Candidates must have 3–6 years of experience in closing sales roles within technical markets like cloud infrastructure, MLOps, or AI. Strong technical fluency and the ability to manage complex, multi-stakeholder sales cycles are essential for this role.

Benefits

Competitive base salary Commission Remote-first work environment Exposure to cutting-edge AI infrastructure Direct collaboration with executive leadership

Full description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Founding Sales Engineer based in United States.

This is a high-impact founding sales role within a fast-growing AI infrastructure environment. You will own the full sales cycle across mid-market and enterprise accounts, from discovery through contract close. The role combines technical depth with consultative selling, engaging CTOs, ML leaders, developers, and infrastructure decision-makers. You will translate complex AI inference requirements into compelling technical demonstrations, proposals, and business cases. As an early member of the go-to-market organization, you will help shape sales processes, acquisition strategies, and expansion playbooks. You’ll work closely with executive leadership, product, engineering, BDR, and developer-relations teams to turn market feedback into growth. This is an entrepreneurial opportunity where your ability to build, execute, and close will directly influence the company’s trajectory.

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Accountabilities

  • Own full-cycle sales across mid-market and enterprise segments, managing opportunities from initial outreach and discovery through negotiation and signed contracts.
  • Build and develop a pipeline of high-growth startups and scale-up accounts, establishing relationships with CTOs, ML leaders, developers, and infrastructure decision-makers.
  • Lead technical discovery and product demonstrations tailored to each prospect’s technology stack, AI workloads, and business requirements.
  • Develop customized proposals and business cases that clearly connect AI model inference needs with relevant platform capabilities and commercial value.
  • Navigate complex, multi-stakeholder sales processes, manage objections, negotiate commercial terms, and consistently drive opportunities toward close.
  • Identify upsell and cross-sell opportunities within existing accounts to expand revenue and strengthen long-term customer relationships.
  • Partner with the CRO to refine acquisition, sales, and expansion playbooks as the go-to-market organization evolves.
  • Collaborate with BDR and developer-relations teams to generate qualified pipeline and improve prospecting effectiveness.
  • Maintain accurate CRM activity, opportunity stages, forecasts, and pipeline reporting in HubSpot.
  • Use AI-powered tools to streamline account research, personalize outreach, automate workflows, and improve sales productivity.
  • Represent the organization at industry events and conferences, using these opportunities to generate relationships and advance active deals.
  • Partner with product and engineering teams to communicate customer feedback, market requirements, and opportunities for product improvement.
  • Mentor BDRs and help establish effective standards for pipeline generation and qualification.

Requirements

  • 3–6 years of experience in a closing sales role within cloud infrastructure, MLOps, AI, developer tooling, or a closely related technical market.
  • Demonstrated success closing deals with technical buyers, including developers, ML engineers, CTOs, and infrastructure leaders.
  • Experience managing complex enterprise or multi-stakeholder sales cycles from discovery through negotiation and close.
  • Strong technical fluency and the ability to understand and communicate sophisticated AI, infrastructure, or developer-tooling concepts credibly.
  • Excellent written and verbal communication skills, with the ability to be concise, persuasive, technically literate, and executive-ready.
  • Entrepreneurial mindset with the confidence to build processes, test approaches, and create structure in an evolving environment without relying on an established playbook.
  • Strong forecasting discipline, CRM hygiene, and a data-driven approach to pipeline and opportunity management.
  • Familiarity with HubSpot and modern AI-enabled sales and productivity tools such as Clay, Claude, ChatGPT, or equivalent platforms.
  • Ability to work collaboratively across sales, business development, developer relations, product, engineering, and executive functions.
  • Strong ownership, adaptability, commercial judgment, and motivation to operate effectively in a high-growth AI environment.

Benefits

  • Remote-first position available across the United States and Canada, with additional locations available across major U.S. and Canadian cities.
  • Competitive total on-target earnings of $150,000–$190,000 USD.
  • Competitive base salary plus commission.
  • Opportunity to help build and shape the sales function at an early-stage company operating in the rapidly evolving AI infrastructure market.
  • Direct collaboration with executive leadership, with meaningful influence over sales strategy and company growth.
  • Opportunity to work with a small, high-performing team focused on expanding access to open-model AI.
  • Significant autonomy to build sales processes, develop accounts, and define what effective pipeline generation looks like.
  • Exposure to cutting-edge AI infrastructure, open models, inference technology, and developer tooling.
  • Opportunities to represent the organization at industry events and conferences.

\nHow Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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