What We're Looking For
We're looking for a Technical Account Manager who operates as a technical diagnostician first: someone who reads workflows, labeling practices, and score behavior closely enough to catch drift before it becomes a fire. You'll build deep, lasting familiarity with each customer's implementation, architecture, and roadmap, and you'll translate what you find into value stories that land with both hands-on engineers and executive stakeholders. This is a partnership role by design — you'll work in close alignment with your paired CSM on every account, never in a silo.
What you'll bring
- 5+ years in a technical, customer-facing role – 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; able to observe system behaviors, identify subtle anomalies, and diagnose root causes before they become critical failures.
- Working SQL and data analysis skills, or the ability to quickly get there, for pulling and interpreting account-specific data.
- Familiarity with scripting languages (Python is a plus)
- Ability to translate technical detail into business impact for both hands-on engineers and non-technical stakeholders.
- A structured, proactive approach to account health – you'd rather catch a stale workflow in a quarterly review than in an escalation.
- Comfort operating under pressure during live incidents, with clear, calm communication to the customer throughout.
- Ability to augment a work process using AI-tooling.
- Strong cross-functional instincts – you know when to pull in Support, Customer Engineering, TASA, or Product, and how to keep everyone aligned.
- Familiarity with machine learning concepts well enough to explain model behavior, score changes, and release impact to a customer.
- Experience running formal technical health reviews, QBR-style technical readouts, or success planning cadences.
Let’s build it together
At Sift, we are intentionally building a diverse, equitable, and inclusive workplace. We believe that diversity drives innovation, equity is a fundamental right, and inclusion is a basic human need. We envision a place where all Sifties feel secure sharing their authentic selves and diverse experiences with their teams, their customers, and their community – ultimately using this empowerment and authenticity to build trust and create a safer Internet.
This document provides transparency around how Sift handles the personal data of job applicants: https://sift.com/recruitment-privacy
A little about us
Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Global brands rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com http://sift.com and follow us on LinkedIn https://www.globenewswire.com/Tracker?data=XHeK0v8NcNrEkwcDe8QxwpZeCkdQqNyKlni83U-CUmrprdKXWpVlYOAbVzwe2OmlwIUN-q4HXk4hf_dazpHx2NMM1CW_SYj740q9mxXNQI4=.