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Technical Account Manager

Technical Account Manager

ContextSan Francisco, CA, US
20 hours ago
Job type
  • Full-time
Job description

Technical Account Manager

As a Technical Account Manager at Context AI, you'll be the trusted advisor and strategic partner for our Fortune 100 customers, ensuring they achieve transformational business outcomes with AI agents that execute complex, high-stakes work. Your mission is to drive customer success, expansion, and retention by deeply understanding how customers deploy Context AIthe workflows they automate, the institutional intelligence they capture, and the productivity gains they realizeand identifying opportunities to expand impact across their organization.

You'll own the post-sale relationship for strategic enterprise accounts, serving as the primary point of contact between customers and Context AI. You'll partner with executives, engineering leaders, and operational teams to ensure successful deployments, measure business impact, and identify new use cases that deliver 30-40% productivity improvements and 90%+ cycle time reductions. You'll work alongside Deployment Strategists, Forward Deployed Engineers, Product, and Sales to orchestrate renewals, drive expansion, and ensure customers view Context as strategic infrastructure for AI-powered knowledge work.

In this role, you'll need technical depth, strategic thinking, and exceptional relationship management skills. You'll navigate complex enterprise organizations, understand technical architectures and AI workflows, translate customer feedback into product insights, and proactively identify risks and opportunities. You'll be equally comfortable discussing technical integration details with engineers and presenting business outcomes to C-suite executives.

No two days are the same, but you can expect to :

  • Own customer relationships for a portfolio of strategic enterprise accountsserve as primary point of contact and trusted advisor for executives, engineering leaders, and operational teams
  • Drive customer success and adoptionensure customers successfully deploy Context AI agents, achieve measurable business outcomes, and expand usage across workflows and teams
  • Conduct executive business reviewspresent quarterly and annual reviews to C-suite stakeholders showcasing productivity gains, cycle time reductions, ROI, and strategic roadmap alignment
  • Monitor customer health and proactively address riskstrack adoption metrics, usage patterns, and satisfaction signals to identify and mitigate churn risks before they escalate
  • Identify expansion opportunitiesdiscover new use cases, departments, and workflows where Context can deliver value; partner with Sales to drive upsell and cross-sell motions
  • Coordinate technical support and deploymentwork with Deployment Strategists and Forward Deployed Engineers to resolve technical issues, optimize workflows, and ensure seamless integrations with customer systems
  • Translate customer feedback into product insightscapture feature requests, workflow improvements, and technical requirements; partner with Product and Engineering to influence roadmap
  • Build executive relationshipsdevelop trusted advisor status with CTOs, VPs of Engineering, CFOs, and business unit leaders to position Context as strategic infrastructure

What We Value

  • Agency : Innovation happens when team members think from first principles and go above and beyond in order achieve objectsnot by simply completing tasks
  • Digging Deep : Surface-level understanding won't cut it when AI needs to execute production-quality work with institutional knowledge
  • Low ego : We understand that the outcome matters more than who gets the credit. Team members share wins and don't play politics.
  • Extraordinary Problem-Solving Ability : You'll confront open-ended problems in unstructured environments where "how we do things" isn't documented
  • Adaptive and Introspective : We operate in a fast-moving environment and accordingly iterate rapidly; team members must be able to learn from their mistakes and improve constantly
  • What We Require

  • 3+ years of Technical Account Management, Customer Success, or Solutions Engineering experience managing strategic enterprise accounts (Fortune 500 companies)
  • Proven track record of driving customer retention, expansion, and executive relationshipsideally with net revenue retention metrics >
  • 120%

  • Technical depthcomfort discussing AI / ML systems, APIs, data integration, enterprise software architectures, and troubleshooting technical issues
  • Experience with complex, technical productsideally AI / ML platforms, developer tools, data infrastructure, or enterprise software
  • Strong business acumenability to articulate ROI, measure business impact, and present outcomes to executive stakeholders
  • Executive relationship managementdemonstrated ability to build trust with C-suite, VPs, and senior leaders
  • Consultative approachcuriosity to understand customer workflows deeply and identify opportunities for expansion
  • Excellent communication skillsequally comfortable writing technical documentation and presenting business reviews to executives
  • Nice to Have

  • Experience with AI / ML, LLMs, or agent frameworksunderstanding of how AI systems work and what makes deployments successful
  • Prior work in consulting, professional services, or customer-facing technical rolesyou've been in customers' shoes
  • Familiarity with specific verticalstelecommunications, finance, consulting, biotech, engineering systems
  • Technical backgroundCS degree, prior engineering experience, or deep technical expertise that helps you engage with customer engineering teams
  • Experience managing high-touch, strategic accounts with >
  • $1M ACV

  • Track record of driving expansion and upsell within existing accounts
  • Customer advocacy and storytelling skillsexperience creating case studies, references, and customer-led content
  • Proficiency with customer success platformsGainsight, Totango, ChurnZero, or similar tools
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