Founding Account Executive (AI Cloud)
New
J
JobgetherAI Infrastructure
CanadaFull-TimeMiddle
SalaryCompetitive base salary combined with commission-based compensation.
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Job Details
- Experience
- 3–6 years
- Required Skills
- Artificial IntelligenceHubSpotMLOpsCRM
Requirements
- 3–6 years of experience in a closing sales role, ideally within cloud infrastructure, MLOps, AI, developer tooling, or another technically sophisticated B2B technology environment.
- Demonstrated success selling to technical buyers, including developers, machine learning engineers, CTOs, infrastructure leaders, or similar stakeholders.
- Proven ability to manage complex, multi-stakeholder sales cycles involving discovery, technical evaluation, business-case development, negotiation, and closing.
- Strong technical literacy and the ability to understand customer architectures, AI workflows, infrastructure challenges, and technical use cases.
- Excellent written and verbal communication skills, with the ability to communicate complex technical and commercial concepts clearly and credibly.
- Entrepreneurial mindset with a high degree of autonomy, initiative, resilience, and willingness to build processes in an evolving environment.
- Strong forecasting, pipeline-management, organizational, and CRM discipline, with experience maintaining accurate sales data and reporting.
- Familiarity with HubSpot, Clay, ChatGPT, Claude, or comparable sales and AI productivity tools.
- Ability to collaborate effectively with founders, executives, product teams, engineering teams, BDRs, and other cross-functional stakeholders.
- Strong commercial judgment and a data-driven approach to prioritizing accounts, opportunities, and revenue-generating activities.
Responsibilities
- Build, manage, and close a pipeline of high-growth startup, scale-up, mid-market, and enterprise accounts, owning opportunities from initial contact through signed agreement.
- Lead consultative discovery sessions and technical demonstrations tailored to customers' technology stacks, AI use cases, and infrastructure requirements.
- Develop executive-level relationships with CTOs, ML leaders, developers, and infrastructure decision-makers, becoming a trusted advisor throughout complex buying cycles.
- Create customized proposals and business cases that clearly connect customers' model inference requirements with the platform's capabilities and commercial value.
- Negotiate and close complex, multi-stakeholder deals while consistently delivering against revenue and quota targets.
- Identify expansion opportunities within existing accounts, including upsell and cross-sell opportunities that increase customer value and revenue.
- Partner with senior commercial leadership, BDRs, and developer-relations teams to improve pipeline generation, acquisition strategies, and sales playbooks.
- Maintain accurate CRM data, pipeline stages, activity records, and forecasts, using a disciplined and data-driven approach to sales management.
- Represent the organization at industry events and conferences to generate relationships, advance opportunities, and strengthen market presence.
- Collaborate with product and engineering teams by sharing customer feedback, market intelligence, and insights that can influence product direction.
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