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Pursue and close high-value enterprise accounts with complex buying processes and seven-figure deal potential. Responsibilities include account planning, executive relationship building, discovery, business case development, negotiation, pipeline management, forecasting, and cross-functional collaboration. The role requires successfully navigating long sales cycles, multiple stakeholders, and complex evaluations while positioning Canals’ automation and AI software to solve critical operational problems.

Leads and develops a team of strategic Account Executives pursuing complex, high-value B2B accounts. Responsibilities include identifying major opportunities, coaching account planning and executive engagement, guiding negotiations and deal strategy, conducting pipeline reviews and forecasting, hiring sales talent, and personally supporting high-stakes customer engagements and seven-figure deals.

Own complex B2B SaaS sales from initial meeting through close and upsell. Research prospects, understand business challenges, demonstrate the product, develop proposals, address objections, negotiate terms, and close six-figure deals. The role requires managing multi-month consultative sales cycles, selling evolving products in a startup environment, and traveling to industry conferences and trade shows approximately 25% of the time.

Own the full sales cycle for complex, six-figure B2B SaaS deals, from prospecting and discovery through proposals, negotiation, closing, and upselling. Research prospects, understand business challenges, deliver compelling product demonstrations, develop sales materials, handle objections, and build relationships with C-suite stakeholders. The role requires consultative selling, POC sales experience, strong communication, high ownership, and willingness to travel to industry events approximately 25% of the time.

Lead, coach, and develop a team of Account Executives while managing pipeline reviews, forecasting, deal strategy, performance development, and recruiting. The role combines hands-on sales leadership with responsibility for improving sales processes, coaching execution, setting goals, and building a high-performing B2B SaaS sales organization.

Owns the full sales cycle for six-figure B2B SaaS deals, from prospecting and discovery through proposals, negotiation, closing, and upselling. The role requires consultative selling, product demonstrations, stakeholder engagement through the C-suite, creative objection handling, and managing 3–9 month sales cycles. The Account Executive will sell an evolving AI-enabled software product to wholesale distributors and travel to industry conferences and trade shows approximately 25% of the time.

Implement and manage ERP integrations between Canals and customer systems, including configuring endpoints, testing APIs, validating data flows, troubleshooting issues, and supporting go-live. Participate in pre-sale discovery and post-sale onboarding, document integration processes, and collaborate with Customer Success, Support, Product, and Engineering. The role requires strong customer communication, technical troubleshooting, organization, and familiarity with APIs, authentication, JSON, and ERP platforms.

Build and maintain scalable, high-performance backend systems. Own complex engineering projects from planning through deployment, collaborate with product and customer teams, and contribute to technical direction through coding, architecture, code reviews, and mentoring. The role suits an independent senior engineer comfortable in a fast-paced, product-focused startup environment.

Own post-sale relationships for a portfolio of B2B SaaS customers, including onboarding, training, adoption, retention, renewals, and business reviews. Monitor usage metrics, identify risks and expansion opportunities, resolve issues with Product and Engineering, and communicate technical concepts to non-technical users. Build scalable customer success playbooks and processes in a fast-growing startup environment.

Build and maintain scalable machine learning models and end-to-end ML pipelines for logistics automation. Responsibilities include data exploration, model deployment and monitoring, production infrastructure improvements, collaboration with engineering and product teams, code reviews, architectural guidance, and technical mentorship.