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Manage customers from onboarding through renewal and expansion, owning retention, net revenue retention, product adoption, and measurable business outcomes. Analyze customer usage, engagement, and health data to identify expansion opportunities and mitigate churn. Serve as a trusted advisor to senior revenue stakeholders while influencing product roadmap and go-to-market strategy through customer insights.

Owns client deployment lifecycles from scoping and solution design through configuration, integrations, and go-live. Translates business strategies into scalable technical solutions, builds AI-powered workflows and automations, and uses analytics to drive customer impact. Partners with Sales, Customer Success, Product, and customers to deliver sophisticated implementations, improve deployment playbooks, and expand technical and commercial capabilities.

Own product design across complex enterprise workflows involving data, automation, AI, and permissions. Create scalable design systems and pixel-perfect, information-dense interfaces while working hands-on with Vue, Tailwind CSS, and TypeScript. Partner with product, engineering, and creative teams to elevate product quality, improve design processes, and increase shipping speed. Strong product sense, UI craft, systems thinking, and familiarity with AI coding tools are essential.

Lead and scale a high-performing Account Executive team in Boston while carrying individual revenue responsibility. Build sales culture, playbooks, and operating processes; coach direct reports; manage complex enterprise SaaS sales cycles and C-suite engagements; develop strategic pathways into large enterprises; and consistently exceed individual and team revenue targets.

Identify and contact prospects through calls, email, and LinkedIn; build relationships with Customer Success leaders; qualify executive prospects across industries and company sizes; and generate high-quality pipeline and discovery opportunities for Account Executives. The role offers an accelerated path toward Account Executive and leadership positions.

Supports the Enterprise Deployment Strategy team by building planning frameworks, renewal standards, portfolio reporting, account intelligence, and operating processes. Assists strategists with renewal preparation, account plans, stakeholder maps, executive business review materials, customer data, and commitment tracking. Learns the Planhat platform and supports live enterprise accounts, with a progression toward owning an enterprise customer portfolio.

Own the end-to-end administration and reliability of Planhat CRM and the GTM systems stack. Configure workflows, automations, integrations, segmentation, routing, scoring, permissions, and enrichment tools. Maintain data quality, manage vendors and licenses, troubleshoot commercial team issues, collaborate with IT and Analytics, and document system changes. Ensure commercial systems are reliable, auditable, adopted, and aligned with GTM Operations and Strategy designs.

Own the full customer lifecycle from onboarding through renewal and expansion, driving retention, net revenue retention, product adoption, and measurable business outcomes. Analyze usage, engagement, and customer health signals to identify growth opportunities and mitigate churn. Serve as a trusted advisor to senior revenue leaders, inform product and go-to-market strategy, and grow toward broader commercial leadership responsibilities.

Lead end-to-end AI deployment engagements for enterprise customers using Planhat. Responsibilities include structuring ambiguous problems, facilitating workshops, mapping commercial workflows, designing AI and automation use cases, configuring and testing solutions, managing delivery, advising executives, driving change adoption, and partnering with Product and Engineering to improve deployment methods and platform capabilities.

Embed with customers to understand their systems and business needs, then build data pipelines, workflows, and automations that deliver measurable AI-powered outcomes. Serve as a trusted technical partner in ambiguous environments, integrating APIs and applying SQL, Python, data modeling, and agentic systems. Travel to customer sites, rapidly learn new technologies, and help establish Planhat’s Forward Deployment Engineering discipline and playbook.