Technical Account Manager owning the technical health of enterprise, financial, and government customer accounts at a deepfake detection cybersecurity company. Responsibilities include API integrations, debugging, escalations, documentation, and translating ML model behavior for customers. Requires 4+ years in technical account management or solutions engineering with API/ML products.
120k – 160k/yr
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About the role
Responsibilities
Own onboarding, integration support, and ongoing technical health for a portfolio of customer accounts
Set up and configure customer integrations directly — API auth, webhooks, sandbox environments
Reproduce and diagnose integration failures — tracing API calls, reading logs and stack traces, isolating whether an issue is customer-side config, network/infra, or a product bug
Translate model behavior into plain language for customers — explaining confidence scores, detection limitations, and edge cases clearly and accurately
Drive technical escalations end-to-end, coordinating with Engineering and setting clear expectations with customers until resolution
Write and debug integration code snippets to unblock a stuck implementation or demonstrate a fix
Build documentation, runbooks, and integration guides that reduce repeat questions and let the relationship scale beyond you
Flag at-risk accounts early, before a technical issue becomes a trust or retention issue
Partner with Product and Engineering to turn field patterns — false positives/negatives, integration friction, feature gaps — into actionable input
Support pre-sales and renewal conversations with technical credibility when needed
Contribute to internal enablement so the broader CS team can handle more technical questions without escalation
Requirements
4+ years in a technical account management, solutions engineering, or senior technical support role, ideally with API-based or ML/AI products
Can independently stand up an API integration — auth, webhooks, sandbox/test calls — and debug it when it breaks, using tools like Postman/curl, log traces, and basic scripting (Python or similar)
Track record of owning relationships with both technical and non-technical stakeholders at the same account
Worked cross-functionally with engineering and product, and know how to turn complaints into signal they can act on
Good judgment under ambiguity — often the first to know something's wrong before there's a clean explanation for it
Nice-to-Haves
Background in trust & safety, security, fraud, or content moderation
Experience with computer vision, ML model behavior, or working alongside data science teams
Built or debugged a webhook-based integration, OAuth/API key flow, or SDK implementation from scratch
Worked at a startup where you built the process rather than inherited one
Compensation and Benefits
Base salary range: $120,000 - $160,000
Healthcare plans with 100% premium coverage for employees
Dental and Vision plans with 100% premium coverage for employees and dependents
Short/Long-term disability and life insurance plans with 100% premium coverage for employees
FSA/HSA and 401k programs
Equity compensation
20 days of PTO per year
12 weeks of Parental Leave
Learning and Development budget
Monthly wellness benefits
Annual company-sponsored offsite
For NYC HQ employees: daily in-office lunch, commuter benefits, remote Fridays, happy hours and local events
Skills
API IntegrationsWebhooksPostmancurlPythonDebugginglog analysisOAuthsdkml modelsComputer Vision
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