Senior Implementation Manager

Asana · Chicagosenior

In short

▸Diriges implementaciones empresariales en Asana enfocadas en flujos de trabajo impulsados por IA desde el inicio.
▸Diseñas estructuras de trabajo que vinculan capacidades de IA con resultados empresariales reales.
▸La clave: arquitectar soluciones alineadas con el 'work graph' de Asana para activar trabajo autónomo y agente.

Proficiency in English is required for collaboration with global teams and customers.

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What they ask for

✓Experiencia previa liderando implementaciones empresariales en plataformas de gestión de trabajo.
✓Capacidad para alinear a stakeholders de distintos niveles (ejecutivos y equipos operativos).
✓Comprensión práctica de cómo se aplican las inteligencias artificiales en flujos de trabajo reales.
✓Habilidades avanzadas en análisis de procesos y mapeo de flujos de trabajo.
✓Experiencia trabajando con IA en entornos empresariales (como configuración de agentes o automatizaciones inteligentes).
✓Fuerte enfoque en resultados medibles y adopción sostenible de plataformas.

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AsanaAI-powered workflowsWork graphProcess designStakeholder alignmentCross-functional coordinationWorkflow implementationUser acceptance testingAdoption planningEnterprise platforms

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Why This Role Is Evolving Helping customers build workflows in Asana and drive measurable adoption remains the foundation of this role. What's new is that every implementation must now be architected through the lens of AI-powered workflows and adoption — designing what AI-powered work looks like for each organization, aligning stakeholders around a shared adoption plan, and connecting Asana's AI capabilities to real business outcomes from day one. → Asana is shifting from a Collaborative Work Management (CWM) to an AI Workflow Management (AWM) platform. Implementations are no longer just about launching workflows using projects, portfolios, automations — they are about configuring Asana in a way that activates its AI capabilities from day one and sets customers up to operate differently. → Asana's product strategy is built on the 'work graph', a deliberate architecture that captures richer context as work scales from individuals to teams to organizations, and uses that context to power increasingly agentic AI. An IM who cannot design solutions around this architecture is leaving the platform's core advantage untouched. → Customer expectations have changed. Organizations are no longer asking "how do we get our teams onto Asana?" They are asking "how will this change the way we work?" That question has to be answered during the implementation itself — through deliberate discovery and decisions made about structure, workflows, and AI configuration. About the Role We are looking for a consultant who thrives at the intersection of process design, cross-functional coordination, and customer outcomes. As Asana transitions from Collaborative Work Management (CWM) to AI Workflow Management (AWM), you will lead enterprise customers through that same transformation — helping them define what AI-powered work looks like for their organization, aligning stakeholders around a shared adoption plan, and driving measurable impact across their highest-value workflows. You will design and lead structured, time-bound engagements — from onboarding through workflow launch — that move customers from seeing Asana as just a work management platform, to a platform where teams and agents execute work together. This requires strong judgment, the ability to operate in ambiguity, and a consistent focus on connecting AI capabilities to business outcomes. You will regularly engage both executive stakeholders and front-line teams, adapting your approach to meet customers where they are and move them forward. What You'll Do You will lead customers through structured engagements in partnership with Customer Success, Sales, Solutions, and R&D to drive valuable adoption of AI. Account Setup and Implementation Planning • Lead a structured onboarding engagement — aligning customer stakeholders on platform setup, workflow priorities, and a shared definition of success, while assessing workflow complexity to identify where AI capabilities will deliver the strongest early impact. • Document and hand off a clear implementation plan — capturing recommended and prioritized workflows, known risks, and next steps so the activation phase can begin with full context and stakeholder alignment. AI Activation & Customer Check-Ins • Lead end-to-end workflow design and build – guiding customers through deep discovery and process mapping, hands-on workflow configuration, and user acceptance testing to deliver production-ready workflows with AI capabilities embedded throughout. • Coordinate cross-functional delivery across a structured time-bound engagement – aligning workflow owners, IT and business stakeholders, and end users through kickoff, training, and launch while keep

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