
Augment puts your team’s collective knowledge—codebase, documentation, and dependencies—at your fingertips via chat, code completions, and suggested edits. Get up to speed, stay in the flow and get…

Augment puts your team’s collective knowledge—codebase, documentation, and dependencies—at your fingertips via chat, code completions, and suggested edits. Get up to speed, stay in the flow and get…
Product: Cosmos — agentic developer AI platform for code triage, authoring, review, and verification
Security & deployment: Offers SOC 2 Type II, ISO/IEC 42001, zero data retention, CMEK, VPC/single-tenant, on-prem options
Integrations: IDE plugins (VS Code, JetBrains), GitHub, Jira, CI, Slack, CLI
Funding (reported): Series B ~$227M; total reported funding ~ $252M
Founders: Guy Gur-Ari and Igor Ostrovsky
Improving software development productivity and code quality by surfacing organization-specific context (codebase, docs, dependencies) through AI assistants and agent orchestration.
Software Development
$25M
$227M
Reported post-money valuation entries in the ~$977M–$1.4B range
“Includes investments/participation from Sutter Hill Ventures, Index Ventures, Innovation Endeavors, Lightspeed Venture Partners, Meritech Capital Partners, and later-stage involvement from Evolution Equity Partners”
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About Augment Code Augment Code is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, Augment Code is redefining how modern software is built.
About The Role We're looking for a Fraud Data Analyst to join our Fraud team. In this role, you'll transform our data into strategic insights that drive fraud and abuse prevention policies. With an analytical mindset, you'll build powerful dashboards and metrics frameworks to investigate the constantly evolving fraud patterns.
You'll own our metrics architecture, produce in-depth analyses, and find innovative ways to communicate insights to stakeholders across the organization. You'll have the unique opportunity to collaborate with our AI researchers, software engineers, support team, and leadership to translate complex data into compelling narratives that guide policies and onboarding experience for users.
Key Responsibilities
Qualifications
The Intangibles We Value
Perks & Benefits We invest in creating an environment where you can do your best work and enjoy showing up.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.
Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.
Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations. Annual Base Salary Range
$200,000 - $300,000 USD
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Fraud Analytics
Develop comprehensive analytics strategies to extract meaningful insights from user data
Define, implement, and maintain key product metrics that accurately measure false positives, trends in patterns of fraud, user behavior changes etc.
Conduct in-depth analysis of user journeys, identifying friction points and opportunities to strike the balance between user friction to prevent fraud vs. maintaining a healthy growth rate
Analyze A/B tests to measure the impact of product/policy changes and guide fraud detection methodologies
Monitor social forums like telegram, signal etc. to proactively discover emerging fraud patterns on SaaS platforms
Develop a detailed funnel analysis to understand the optimal checks and balances to add at each step of the user journey
Technical Implementation
Build and optimize data models using dbt and BigQuery to ensure efficient and reliable data processing
Design interactive Hex dashboards that visualize both product and marketing performance
Ensure proper event tracking and data collection across the user journey
Maintain data quality standards and governance practices including validating curated data, benchmarking 3p signals, following GDPR requirements etc.
Cross-functional Impact
Partner closely with fraud and support teams to communicate data trends
Democratize data access through self-service analytics tools and documentation