Technical Account Manager
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The TAM is Sift's technical product expertise pushed out to the edge, embedded with the customer rather than sitting back in engineering. You're the person who knows the product deeply enough to catch what's about to go wrong in someone's actual environment. We serve as the named, persistent technical partner for Sift's strategic and premium accounts, working in close lockstep with Customer Success so customers get one seamless, aligned strategy rather than a handoff between silos. We connect across Customer Success, Support, Customer Engineering, Trust & Safety Advisory (TASA), Managed Operations, and Product/Engineering to keep every account's technical health ahead of the next escalation.
Operating primarily as a technical diagnostician rather than a builder or purely relationship owner, you excel at reading workflows, analyzing labeling practices, observing score behavior, and catching drift before it becomes an escalation.
You'll build deep, lasting familiarity with each customer's implementation, architecture, workflows, labeling practices, signals, and roadmap, calling out patterns drawn from other customer engagements and your technical expertise. Working in close partnership with Customer Success Managers (CSMs), you translate complex technical findings into meaningful value stories for stakeholders, ensuring you never work in a silo. You are a technical strategy owner and diagnostician, connecting across Customer Success, Support, Customer Engineering, Trust & Safety Advisory (TASA), Managed Operations, and Product/Engineering.
What You'll Do:
- Serve as the named, persistent technical partner for a portfolio of strategic and premium accounts in close alignment with the CSM, acting as a collaborative team player rather than working in a silo.
- Build and maintain a technical success plan for each account alongside the CSM, translating technical diagnostics into clear business value stories and executive roadmaps.
- Diagnose and guide customers on ongoing best practices for workflow design, labeling strategy, and configuration hygiene, leveraging pattern recognition across your book of business in tandem with the CSM.
- Own implementation continuity after go-live in partnership with the CSM, ensuring deep account context survives the handoff from onboarding and technical drift is caught early.
- Run recurring technical health reviews and diagnostic readouts with the CSM, surfacing risks early and turning observations into actionable optimization plans.
- Help customers navigate model releases with confidence alongside the CSM – analyzing score behavior changes and articulating what they mean for the customer's business goals.
- Operationalize TASA's fraud strategy and vertical recommendations inside the customer's Sift environment, working with the CSM to demonstrate tangible business impact.
- Coordinate the technical diagnostic and mitigation response during active fraud attacks – orchestrating Support, Customer Engineering, and Product while keeping the CSM and customer informed.
- Act as the voice of the customer internally by spotting recurring technical patterns, feature requests, and workflow trends across your book of business and feeding them directly to Product and Engineering.
- Act as the primary technical partner to the CSM across Support, Customer Engineering, TASA, Managed Operations, and Product/Engineering so customers receive one seamless, aligned strategy.
- Contribute to account retention and growth by catching technical risk early, keeping accounts model-release ready, and cutting down repeat issues, in partnership with the CSM who owns the relationship and renewal conversation.
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Sift (formerly Sift Science) is the premier, AI-native digital trust, safety, and fraud prevention powerhouse engineered to operate as the definitive, real-time risk intelligence infrastructure layer for global consumer applications, e-commerce networks, and high-velocity digital marketplaces. Operating as a mission-critical protection engine processing over one trillion events annually, the company eliminates the severe systemic friction of transactional fraud and cyber-abuse—where online brands struggle with rising chargeback rates, account takeover (ATO) attacks, promo abuse, and manual review bottlenecks—by deploying its signature Digital Trust & Safety Suite. Moving far beyond traditional, static rule-based legacy systems, Sift unifies payment protection, account defense, content monitoring, and dispute resolution into a single high-performance workspace. The platform empowers global innovators like DoorDash, Twitter, and Wayfair to dynamically cross-reference behavior telemetry across its global network of over 34,000 sites and apps with elite, scalable, and audit-ready precision. Under the hood, its sophisticated cloud-native architecture—driven by advanced machine learning models, proactive consortium data sharing graphs, and dynamic device fingerprinting—natively orchestrates sub-second risk scoring, automated step-up authentication routing, and live transactional forensics. What sets Sift apart is its uncompromising dedication to optimizing the balance between risk mitigation and user experience; by bridging the gap between performance-intensive, high-concurrency fraud detection pipelines and friction-free consumer checkouts, the firm enables modern scaling companies to radically maximize conversions, eliminate chargeback overhead, and build an unassailable foundation for continuous commercial growth worldwide.
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