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Forward Deployed Engineer, Trust and Safety

SiftRemote - USACustomer Experience
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Salary
$170K - $230K USD
Job type
Full-time
Work mode
Remote
Posted
1 Aug 2026
Status
Open · checked 7d ago

About this role

The Forward Deployed Engineer, Trust and Safety position at Sift is a full-time remote role based in the USA, ideal for data and risk professionals with extensive experience in combating online fraud. This role suits technical experts who enjoy collaborating with customers to design advanced detection systems and safeguard digital trust.

Role Overview

As a Forward Deployed Engineer focusing on Trust and Safety, the professional works closely with data science teams and the Trust and Safety Architect to discover emerging fraud patterns and neutralize them proactively. This role bridges the gap between field observations and internal product roadmaps, turning real-world data into actionable detection logic and sharper signals.

Key Responsibilities

Collaborate with internal teams to surface emerging fraud patterns across the network and initiate proactive takedowns.
Translate data findings into sharper signals, tighter configurations, and smarter decisioning logic.
Engage with customers and partners across diverse verticals with varying risk appetites and business goals.
Build dashboards, tune models, and create custom signals to help clients achieve their target business outcomes.
Dig into raw event streams to pinpoint false positives, coverage gaps, and system vulnerabilities, then design and implement fixes.
Lead forensic investigations during fraud spikes to trace attack techniques to their source and deliver clear remediation documentation.
Distinguish one-off anomalies from systemic product opportunities and advocate for systemic fixes.
Contribute to detection frameworks, investigative tools, and internal engineering playbooks.
Act as a conduit between customer realities and internal product roadmaps.
Travel occasionally as required by business needs.

Requirements

Possess 5 to 8 years of dedicated experience in fraud, trust and safety, risk, or a closely related data science domain.
Demonstrate strong SQL and Python coding skills utilized for querying and answering analytical questions.
Bring a strong understanding of machine learning concepts applied to fraud, including classification models, feature engineering, precision and recall tradeoffs, threshold calibration, and score drift.
Exhibit experience analyzing large-scale behavioral or transactional datasets to detect patterns and anomalies.
Possess the ability to communicate technical findings effectively to both technical and non-technical stakeholders.
Bring direct customer-facing experience and an understanding of varying business priorities.

Nice to Have

Hands-on experience with in-house or third-party fraud detection platforms.
Practical experience building with AI technologies such as LLM APIs, prompt engineering, or agentic workflows.
Familiarity with real-time event processing systems.
Experience working with rules-based decisioning systems alongside machine learning.
Professional background in payments, e-commerce, fintech, marketplaces, or account security fraud.
Prior forward deployed, staff engineering, or embedded consulting experience at a technical product company.
A degree in Computer Science, Data Science, Mathematics, Statistics, Information Systems, Economics, or equivalent experience.

Skills and Tools

Python
SQL
LLM and AI workflows
Machine Learning classification and feature engineering
Real-time event processing and rules-based decisioning systems

Salary and Benefits

Annual base salary ranging from $170,000 to $230,000 USD.

About the Company

Sift operates as an AI-powered fraud platform designed to secure digital trust for leading global enterprises. Through deep investments in user identity and machine learning, Sift evaluates a vast data network scoring one trillion events annually. Over 700 global brands rely on the platform to prevent online abuse, minimize chargebacks, and foster secure growth.

How to Apply

Interested candidates should visit the official Sift careers page to submit an application and review additional recruitment information.

Skills and tech stack

PythonSQLLLM

Questions candidates ask

What is the salary range for the Forward Deployed Engineer role?

The annual salary ranges from $170,000 to $230,000 USD.

Is this position remote?

Yes, this role is remote within the USA, though some travel may be required.

What level of experience is required?

Candidates must have 5 to 8 years of experience in fraud, trust and safety, risk, or a closely related data science domain.

What technical skills are necessary for the job?

Applicants need strong SQL and Python skills, alongside a deep understanding of machine learning concepts applied to fraud detection.

Where should I submit my application?

Candidates should apply directly on the official Sift careers page.

Ready to apply?

The application is on the official Sift careers page.

Apply on company site