Technical Account Manager
New
S
SiftFraud Prevention
Remote - USAFull-TimeMiddle
Salary$115K - $155.5K; $115K – $155.5K • Offers Equity; Estimated OTE $115K – $155.5K • Offers Equity
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Job Details
- Experience
- 5+ years in a technical, customer-facing role
- Required Skills
- PythonSQLData AnalysisMachine LearningRESTful APIsJSONTechnical support
Requirements
- 5+ years in a technical, customer-facing role such as Technical Account Management, Solutions Engineering, Implementation, or Technical Support.
- Prior experience in fraud or payments.
- Strong pattern recognition skills across APIs, webhooks, JSON, and data logs.
- Ability to observe system behaviors, identify subtle anomalies, and diagnose root causes.
- Working SQL and data analysis skills, or the ability to quickly get there.
- Familiarity with scripting languages (Python is a plus).
- Ability to translate technical detail into business impact for both engineers and executive stakeholders.
- Structured, proactive approach to account health.
- Comfort operating under pressure during live incidents.
- Strong cross-functional instincts.
- Familiarity with machine learning concepts and model behavior.
- Experience running formal technical health reviews or success planning cadences.
Responsibilities
- Serve as the named, persistent technical partner for a portfolio of strategic and premium accounts in close alignment with the CSM.
- Build and maintain a technical success plan for each account alongside the CSM, translating technical diagnostics into clear business value stories.
- Diagnose and guide customers on ongoing best practices for workflow design, labeling strategy, and configuration hygiene.
- Own implementation continuity after go-live, ensuring deep account context survives the handoff from onboarding.
- Run recurring technical health reviews and diagnostic readouts with the CSM, surfacing risks early.
- Help customers navigate model releases by analyzing score behavior and explaining business impact.
- Operationalize fraud strategy and vertical recommendations inside the customer's Sift environment.
- Coordinate the technical diagnostic and mitigation response during active fraud attacks.
- Act as the voice of the customer internally by spotting recurring technical patterns and feature requests.
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