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Director, Enterprise Platform

Meta
Posted a day ago
Location

Menlo Park, CA, US

Salary

$242,000 - $296,000 per year

Contract type

Full Time

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The Meta Enterprise Platform organization builds and brings to market the platforms, products, and AI-powered systems that enterprises use to run their businesses on Meta technologies. Our customers are among the world's largest and most sophisticated organizations, and their success depends on deep partnership across product, engineering, and go-to-market.Meta is seeking a Director for the Enterprise Platform organization. This is a very strategic role that includes externally-oriented, customer-facing role to define the growth architecture for enterprise responsible for owning the end-to-end pre-sales and post-sales relationship for Meta Enterprise Platform's highest-priority, Chief Enterprise Platform Officer-sponsored customers. The Director will act as and lead customer advocacy as well ensuring Product Market Fit across AI products and models inside Meta, connecting executive leadership, GTM, Product, and Engineering teams around a shared set of customer outcomes.This person will ensure every strategic account has an executive engagement plan, clearly defined customer outcomes, coordinated follow-through, and a credible path to deployment and expansion. They will also build the feedback loops that translate customer insight and deployment blockers into actionable product and go-to-market priorities.A successful candidate will be equally comfortable in front of a customer's C-suite and in a technical product review internally as we create a scaled motion for products.. They will bring strong executive presence, commercial instinct, and the ability to shift seamlessly between strategic counsel and hands-on execution, while operating with discretion in a fast-moving, high-expectations environment.

Responsibilities

  • Strategic Customer Ownership (Pre-Sales and Post-Sales): Own the pre-sales and post-sales relationship for Meta Enterprise Platforms' highest-priority, Chief Enterprise Platform Officer-sponsored customers, from early executive engagement and solution shaping through deployment, adoption, and expansion.
  • Executive Engagement and Advocacy: Act as and lead customer advocacy within Meta, representing the customer's interests to executive leadership, GTM, Product, and Engineering. Ensure every strategic account has an executive engagement plan, named executive sponsors, and a cadence that sustains the relationship over time.
  • Customer Outcomes and Follow-Through: Define clear, measurable customer outcomes for each strategic account and drive coordinated follow-through across internal teams, holding owners accountable to commitments and timelines.
  • Deployment and Expansion: Partner with Product, Engineering, Solutions, and Partner teams to unblock deployments, de-risk delivery, and build a repeatable path from initial adoption to scaled expansion.
  • Product and GTM Feedback Loops: Build and operate the mechanisms that translate customer insight, competitive signal, and deployment blockers into actionable product roadmap and go-to-market priorities, and close the loop back to customers on what changed.
  • Acquisition Strategy: Work with Corp Dev team and Enterprise leaders to ensure evaluation of target acquisitions.
  • Executive Communications and Deliverables: Prepare the Chief Enterprise Platform Officer and other Meta executives for customer engagements, including briefing materials, attendee background, recommendations, decision context, risks, and follow-ups.
  • Cross-Functional Partnership and Influence: Build trusted working relationships across GTM, Product, Engineering, Legal, Finance, Marketing, and Support to remove friction, resolve escalations, and advance customer and organizational objectives without direct authority.
  • Operating Rhythm: Establish the drumbeat for strategic account reviews, escalation paths, and reporting that gives leadership a consistent, accurate view of the health of the top customer portfolio.


Minimum Qualifications

  • 12+ years of experience in enterprise go-to-market, strategic accounts, customer success, business development, partnerships, strategy, or management consulting within a fast-paced and complex organization
  • Experience owning executive-level relationships with large enterprise customers, including C-suite engagement both inside and outside the company
  • Experience across the full customer lifecycle, including pre-sales solution shaping and post-sales deployment, adoption, and expansion
  • Demonstrated ability to influence product and go-to-market priorities based on customer insight, with experience building repeatable feedback mechanisms
  • Experience driving complex, cross-functional coordination across GTM, Product, and Engineering teams without direct authority
  • Excellent written and verbal communication skills, with the ability to draft executive briefs and presentations and synthesize complex information into a clear, cohesive narrative
  • Experience managing multiple complex accounts and priorities under tight timelines, including engagement planning, action tracking, and follow-up coordination
  • Proficient understanding of enterprise technology platforms and Artificial Intelligence


Preferred Qualifications

  • Experience in an enterprise software, cloud, or platform business serving Fortune 500 or equivalent global customers
  • Experience building an executive sponsorship or strategic account program from the ground up
  • Experience navigating enterprise deployments, including technical integration, security review, and change management
  • Bachelor's Degree in a business or technically-related field, or MBA/advanced degree
  • Experience handling highly confidential and commercially sensitive information while maintaining discretion
  • Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies


$242,000/year to $296,000/year + bonus + equity + benefits



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