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Encord

AI-native data infrastructure for Physical AI

Deployment Strategist

Implementation & Technical Account ManagementUpdated on Nov 14
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Demonstrated success supporting complex, technical products and enterprise-grade customers.
  • Ability to understand product and technical details and communicate clearly with executives.
  • Strong organizational, analytical, and project-management skills.
  • Ability to consult with customers, uncover root problems, and guide them toward outcomes.
  • Comfort with ambiguity and experience shaping an undefined customer situation into a plan.
  • Commercial awareness of how post-sales execution drives retention and growth.
  • Experience working collaboratively and influencing cross-functional partners.
  • Four to eight years in a customer-facing technical or post-sales role such as Customer Success, Technical Account Management, Solutions Engineering, Implementation, or Management Consulting.
  • Ability to manage complex, multi-stakeholder deployments of technical software products; B2B SaaS experience is preferred within this qualification.
  • Track record of driving measurable outcomes such as time-to-value, product adoption, retention, or expansion across enterprise accounts.
  • Experience engaging with technical teams, including machine-learning engineers, data scientists, and software engineers, as well as executive and business stakeholders.
  • Ability to run multiple concurrent deployments, coordinate internal resources, and keep customers on track.
  • Experience contributing to renewals, identifying expansion signals, and partnering with Sales on account growth.
  • Familiarity with customer relationship management and customer success tools such as HubSpot, Salesforce, or Gainsight.

Responsibilities

  • Own end-to-end deployment and customer success across a portfolio, from initial onboarding through long-term adoption.
  • Guide customers’ technical teams, run enablement, and establish success plans to accelerate value realization.
  • Build trusted relationships with customer stakeholders, from hands-on users to executive sponsors.
  • Maintain an understanding of each customer’s goals, usage, and risk profile, and proactively address issues before they escalate.
  • Partner with Sales to support renewals, identify expansion opportunities, and drive long-term account growth.
  • Share customer insights with Product and Engineering to influence the roadmap and execution.
  • Help shape and continuously improve post-sales playbooks and operating processes as the company scales.

Desired Qualifications

  • Experience at a high-growth startup or scale-up.
  • Exposure to artificial intelligence, machine learning, data infrastructure, or developer tools.

About the Company

Encord

AI-native data infrastructure for Physical AI

Encord provides an AI-native data infrastructure platform for Physical AI, helping enterprises manage multimodal data for robotics, autonomous systems, and related applications. It offers Encord Annotate for collaborative multimodal annotation, Encord Active for data curation and quality evaluation, and Encord Index for petabyte-scale dataset search and management, covering the full data lifecycle from collection to deployment. The platform acts as a universal data layer for production-grade Physical AI, addressing the infrastructure gap left by cloud-era tools focused on text and tabular data and emphasizing multimodal data and embodied AI. Its goal is to enable teams to build, evaluate, and deploy real-world AI systems more efficiently with scalable, reliable data tooling.

Company size
201-500
Company stage
Series C
Total funding
$107.1M
Headquarters
London, United Kingdom
Founded
2020

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