Reporting to the Ad Safety Engineering Manager, the person in this role will be the primary technical driver for the new Fraud detection system, working closely with Ad Review, Billing, Policy and other Reddit Safety teams to enhance overall systems.

Responsibilities:

• Steer: Work with the team to select, scope, and drive high-leverage projects that accelerate the development of Fraud Detection to help Reddit achieve its ambitious goals.

• Architect: Help define the 2+ year technical roadmap for the platform, translating complex business needs into a clear strategy for highly available and performant backend services.

• Build: Execute on a strategy to create world-class Fraud Detection systems.

• Amplify: Mentor, coach, and collaborate with other technical contributors, fostering a culture of empathetic technical excellence and proactive problem-solving.

• Collaborate: Work together with a variety of cross-functional teams, including Product Management, Policy and Legal, to ensure Fraud Detection meets the needs of all stakeholders.

• Evolve: Learn and improve technical and non-technical abilities, staying up-to-date on trends and best practices in the Fraud Detection space across the industry.

Qualifications:

• Experience: 7+ years of software engineering experience, with a track record of leading large-scale technical projects that require cross-team and cross-functional collaboration.

• Backend Expertise: Strong experience in large-scale distributed systems and developing highly scalable and reliable backend services.

• Technical Ability: Expertise in at least one general-purpose programming language (e.g., Go, Python, Scala, Java, or C++) and ability to grow expertise in Python and Go.

• Leadership: Demonstrated ability to disambiguate complex problems, align stakeholders with different priorities, and aggressively prioritize to execute effectively.

• Communication: Excellent communication skills employed to drive toward consensus, navigate disagreements, and influence decisions across the engineering organization.

• Agency: A bias for action. The ability to identify what needs to be done, take the initiative to make it happen without waiting for direction, and finish the swing.

Preferred Qualifications:

• Direct experience as a Tech Lead or in a similar function.

• Previous success as part of an Ads team with a user base in the millions.

• Experience in Ads Fraud, Ad review or Ads Brand Safety

• Proven experience designing, building, and operating scalable platforms.

• Expertise in Python and/or Go.

• Prior experience in Fraud/Malicious actors space

• Proven track record of utilizing LLMs in production systems.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs

• Family Planning Support

• Gender-Affirming Care

• Mental Health & Coaching Benefits

• Flexible Vacation & Reddit Global Days Off

• Generous paid Parental Leave

• Paid Volunteer time off

XML job scraping automation by YubHub

This is a zero-to-one role with senior reporting, real scope, and direct ownership of both spend and revenue. To scale this high-impact channel, you'll architect and own the systems that power it: the partner marketing platform (Everflow tool), payout economics, attribution and reporting, fraud detection, technical integrations, and spend optimization at scale.

In this role, you'll have true ownership that's hard to find early in a career. You'll report directly to Reid Benson, VP of Marketing (ex-Netflix, ex-MasterClass). With this role, you'll have the opportunity to compound a decade of learning into your next two years.

You'll own end-to-end deal management, including sourcing, negotiating, launching, and managing performance for partnerships across tier-1 enterprise, regional operators, publishers, marketers, and creators. You'll also manage the partner platform (Everflow) end-to-end, including offer management, payout economics, attribution, and providing senior leadership with clear reporting.

To succeed in this role, you'll need to be highly organized, able to navigate multiple systems and manage up to 40 partner conversations at various stages without dropping the ball. You'll also need to be comfortable working in spreadsheets, measuring performance, and analyzing partner economics and payout structures.

The ideal candidate is sharp, analytical, highly organized, and motivated by measurable impact. Must-haves include a bachelor's degree in Business, Economics, Finance, Accounting, Engineering, or a related quantitative field, and 3+ years of experience in sales, BD, consulting, investment banking, account management, or equivalent, with a track record of personally driving material outcomes.

Benefits include generous stock options, medical, dental, and vision insurance, generous PTO, 11 paid company holidays, hybrid work model, 401(k) plan, infant care leave, and on-site gym/showers open 24/7.

XML job scraping automation by YubHub

We’re hiring an Engineering Manager, Fraud & Abuse to build the systems that protect Cursor from fraud, abuse, and misuse as we scale.

This is a hands-on role: you will set direction, write code, and build the platform, tooling, and decisioning systems we use to detect, prevent, and respond to fraud and abuse.

You will work cross-functionality to understand our current risks and workflows across the company. This role is specifically about mitigating known vectors while building strong defenses that are accurate, scalable, and practical to operate.

What you’ll do

• Improve fraud and abuse systems end-to-end, from detection and risk scoring to enforcement and reporting. Enhancing existing fraud prevention systems provided by vendors.

• Write and ship code directly in the codebase, unblock critical work, and set a high bar for engineering quality, reliability, and execution. This will involve making product enhancements to assist with mitigating fraud.

• Build tooling and guidance that operations teams will use handle high-risk accounts.

• Hire and grow the team by recruiting, interviewing, closing, and onboarding engineers, and by establishing strong operating rhythms and engineering standards.

• Design and ship a centralized platform that incrementally delivers value to known fraud then scales as vectors diversify and our product evolves.

• Partner deeply with Billing, Growth, Finance, Security, Operations, and Legal to identify major fraud and abuse risks, improve signal quality, and build defenses that are effective without creating unnecessary friction or complexity.

• Own outcomes such as fraud loss, detection latency, enforcement quality, and investigation time.

You may be a fit if

• You have built fraud detection and abuse prevention for usage-based services in the past.

• You have implemented risk scoring, policy engines, enforcement pipelines, case management, payments or subscriptions systems, and human-in-the-loop review workflows.

• You have experience mitigating social engineering attempts.

• You’ve leveraged Stripe, WorkOS, and other third-party vendors creatively with success.

• You have experience working cross-functionally with non-engineering teams.

• You have led incident response for fraud/abuse incidents.

• You are excited and capable to be hands-on writing and debugging Typescript on day 1.

• You have significant experience managing and developing engineering teams, including hiring and performance coaching.

• You have experience in LLM Safety & Integrity.

XML job scraping automation by YubHub

The ideal candidate will have 10+ years of P&C insurance product management or consulting experience, strong expertise in personal lines pricing, underwriting, and compliance, and familiarity with technology platforms like Guidewire, Duck Creek, and Majesco.

Key responsibilities include leading product portfolio optimization, rate filings, and competitive market assessments. The candidate will also drive digital transformation initiatives, evaluating InsurTech solutions such as telematics-based pricing, AI-driven claims automation, and predictive analytics for risk segmentation.

The role requires deep industry knowledge and strategic consulting skills to advise insurers on optimizing personal lines products, navigating compliance requirements, and implementing emerging technologies.

This is an exciting opportunity to work with leading insurers on high-impact projects, leveraging data-driven strategies and InsurTech solutions to reshape the future of personal lines insurance.

Responsibilities:

• Support Client and Internal Project Teams with a mix of the following capabilities:

Strategic Consulting & Client Advisory

• Act as a trusted advisor to top-tier insurers on personal lines insurance products, including homeowners, auto, renters, and umbrella.

• Lead product rationalization efforts, optimizing insurers' portfolios to reduce complexity, enhance profitability, and improve customer experience.

• Drive new product development, leveraging telematics, usage-based insurance (UBI), embedded insurance, and AI-driven pricing models.

• Develop and implement product run-off strategies, ensuring compliance, financial stability, and seamless transition for policyholders.

• Guide insurers through regulatory advisory initiatives, ensuring product strategies align with state DOI regulations, NAIC model laws, and evolving consumer protection standards.

Regulatory Compliance & Market Strategy

• Advise on state and federal regulations, helping clients navigate rate filings, compliance risks, and policyholder protections.

• Manage engagements related to state DOI rate filings, competitive benchmarking, and regulatory impact assessments.

• Provide insights on emerging legislative changes (e.g., climate risk mandates, AI-driven underwriting guidelines, and telematics regulations).

InsurTech Enablement & Digital Transformation

• Partner with technology teams to implement digital underwriting, AI-based risk models, and automation tools.

• Evaluate and recommend InsurTech solutions such as telematics-based pricing, AI-driven claims processing, fraud detection & predictive analytics, and customer experience & digital distribution.

• Support insurers in modernizing core platforms, working with vendors like Guidewire, Duck Creek, and Majesco.

Claims Transformation & Risk Management

• Assist clients in claims process optimization, leveraging automation, AI, and predictive analytics for faster claims adjudication.

• Develop strategies for fraud detection, litigation management, and claims efficiency improvements.

• Work with claims and risk teams to align product design with evolving risk trends (e.g., climate change impact, cyber risks in personal lines, and increased litigation costs).

Project Leadership & Stakeholder Engagement

• Lead cross-functional consulting engagements involving actuarial, underwriting, IT, claims, and distribution teams.

• Develop and present strategic recommendations to C-suite executives, supporting data-driven decision-making.

• Manage multiple client engagements, ensuring timely delivery, regulatory alignment, and measurable business impact.

XML job scraping automation by YubHub

Key responsibilities include leading product portfolio optimization, rate filings, and competitive market assessments. The candidate will also drive digital transformation initiatives, evaluating InsurTech solutions such as telematics-based pricing, AI-driven claims automation, and predictive analytics for risk segmentation. Additionally, they will support regulatory advisory projects, ensuring compliance with state DOI regulations, NAIC model laws, and evolving legislative changes.

The ideal candidate will have 10+ years of P&C insurance product management or consulting experience, strong expertise in personal lines pricing, underwriting, and compliance, and familiarity with technology platforms like Guidewire, Duck Creek, and Majesco. Preferred qualifications include CPCU, AINS, ARM, Lean Six Sigma, or PMP certifications.

This is an exciting opportunity to work with leading insurers on high-impact projects, leveraging data-driven strategies and InsurTech solutions to reshape the future of personal lines insurance. Join us and contribute to strategic innovation, regulatory excellence, and digital transformation in the insurance industry.

**Key Responsibilities:*

• Act as a trusted advisor to top-tier insurers on personal lines insurance products, including homeowners, auto, renters, and umbrella.
• Lead product rationalization efforts, optimizing insurers’ portfolios to reduce complexity, enhance profitability, and improve customer experience.
• Drive new product development, leveraging telematics, usage-based insurance (UBI), embedded insurance, and AI-driven pricing models.
• Develop and implement product run-off strategies, ensuring compliance, financial stability, and seamless transition for policyholders.
• Guide insurers through regulatory advisory initiatives, ensuring product strategies align with state DOI regulations, NAIC model laws, and evolving consumer protection standards.

**Regulatory Compliance & Market Strategy:*

• Advise on state and federal regulations, helping clients navigate rate filings, compliance risks, and policyholder protections.
• Manage engagements related to state DOI rate filings, competitive benchmarking, and regulatory impact assessments.
• Provide insights on emerging legislative changes (e.g., climate risk mandates, AI-driven underwriting guidelines, and telematics regulations).

**InsurTech Enablement & Digital Transformation:*

• Partner with technology teams to implement digital underwriting, AI-based risk models, and automation tools.
• Evaluate and recommend InsurTech solutions such as:
• Telematics-based pricing (e.g., Cambridge Mobile Telematics, Arity)
• AI-driven claims processing (e.g., CCC Intelligent Solutions, Snapsheet)
• Fraud detection & predictive analytics (e.g., Shift Technology, FRISS)
• Customer experience & digital distribution (e.g., Cover Genius, Trov)
• Support insurers in modernizing core platforms, working with vendors like Guidewire, Duck Creek, and Majesco.

**Claims Transformation & Risk Management:*

• Assist clients in claims process optimization, leveraging automation, AI, and predictive analytics for faster claims adjudication.
• Develop strategies for fraud detection, litigation management, and claims efficiency improvements.
• Work with claims and risk teams to align product design with evolving risk trends (e.g., climate change impact, cyber risks in personal lines, and increased litigation costs).

**Project Leadership & Stakeholder Engagement:*

• Lead cross-functional consulting engagements involving actuarial, underwriting, IT, claims, and distribution teams.
• Develop and present strategic recommendations to C-suite executives, supporting data-driven decision-making.
• Manage multiple client engagements, ensuring timely delivery, regulatory alignment, and measurable business impact.

**Requirements:*

• Education: Bachelor’s degree in Business, Finance, Insurance, or a related field (MBA, CPCU, or AINS preferred).
• Experience: 5+ years in P&C insurance product management, consulting, or strategy roles, with a strong focus on personal lines.
• Industry Certifications (Preferred):
• CPCU (Chartered Property Casualty Underwriter) – Deep expertise in P&C insurance.
• AINS (Associate in General Insurance) – Strong foundational knowledge of insurance operations.
• ARM (Associate in Risk Management) – Specialization in risk assessment and mitigation.
• Lean Six Sigma or PMP – For project management and operational efficiency.
• Technical Expertise:
• Deep knowledge of personal lines product development, pricing, underwriting, and risk management.
• Experience with product rationalization, run-off strategies, and market repositioning.
• Strong understanding of state insurance regulations, rate filings, and DOI compliance.
• Familiarity with InsurTech solutions, AI-driven pricing models, and claims automation technologies.
• Proficiency in data analytics tools (e.g., SQL, Python, Tableau, Power BI) for actuarial and risk modeling.
• Consulting & Leadership Skills:
• Proven ability to develop strategic recommendations and present to C-suite executives.
• Strong project management skills with experience leading cross-functional teams in product transformation.
• Excellent problem-solving, analytical, and communication abilities.
• Expertise in Agile methodologies for product development and market deployment.
• Use of Lean Six Sigma frameworks for process optimization and operational efficiency.
• Experience with customer journey mapping, product lifecycle management, and digital transformation strategies.

**Benefits:*

This position comes with competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Retirement Plans
8. Paid Time Off
9. Training & Development

XML job scraping automation by YubHub

Key responsibilities include leading product portfolio optimization, rate filings, and competitive market assessments. The candidate will also drive digital transformation initiatives, evaluating InsurTech solutions such as telematics-based pricing, AI-driven claims automation, and predictive analytics for risk segmentation. Additionally, they will support regulatory advisory projects, ensuring compliance with state DOI regulations, NAIC model laws, and evolving legislative changes.

The ideal candidate will have 10+ years of P&C insurance product management or consulting experience, strong expertise in personal lines pricing, underwriting, and compliance, and familiarity with technology platforms like Guidewire, Duck Creek, and Majesco. Preferred qualifications include CPCU, AINS, ARM, Lean Six Sigma, or PMP certifications.

This is an exciting opportunity to work with leading insurers on high-impact projects, leveraging data-driven strategies and InsurTech solutions to reshape the future of personal lines insurance. Join us and contribute to strategic innovation, regulatory excellence, and digital transformation in the insurance industry.

**Key Responsibilities:*

• Strategic Consulting & Client Advisory*
• Act as a trusted advisor to top-tier insurers on personal lines insurance products, including homeowners, auto, renters, and umbrella.
• Lead product rationalization efforts, optimizing insurers’ portfolios to reduce complexity, enhance profitability, and improve customer experience.
• Drive new product development, leveraging telematics, usage-based insurance (UBI), embedded insurance, and AI-driven pricing models.
• Develop and implement product run-off strategies, ensuring compliance, financial stability, and seamless transition for policyholders.
• Guide insurers through regulatory advisory initiatives, ensuring product strategies align with state DOI regulations, NAIC model laws, and evolving consumer protection standards.

• Regulatory Compliance & Market Strategy*
• Advise on state and federal regulations, helping clients navigate rate filings, compliance risks, and policyholder protections.
• Manage engagements related to state DOI rate filings, competitive benchmarking, and regulatory impact assessments.
• Provide insights on emerging legislative changes (e.g., climate risk mandates, AI-driven underwriting guidelines, and telematics regulations).

• InsurTech Enablement & Digital Transformation*
• Partner with technology teams to implement digital underwriting, AI-based risk models, and automation tools.
• Evaluate and recommend InsurTech solutions such as:
• Telematics-based pricing (e.g., Cambridge Mobile Telematics, Arity)
• AI-driven claims processing (e.g., CCC Intelligent Solutions, Snapsheet)
• Fraud detection & predictive analytics (e.g., Shift Technology, FRISS)
• Customer experience & digital distribution (e.g., Cover Genius, Trov)
• Support insurers in modernizing core platforms, working with vendors like Guidewire, Duck Creek, and Majesco.

• Claims Transformation & Risk Management*
• Assist clients in claims process optimization, leveraging automation, AI, and predictive analytics for faster claims adjudication.
• Develop strategies for fraud detection, litigation management, and claims efficiency improvements.
• Work with claims and risk teams to align product design with evolving risk trends (e.g., climate change impact, cyber risks in personal lines, and increased litigation costs).

• Project Leadership & Stakeholder Engagement*
• Lead cross-functional consulting engagements involving actuarial, underwriting, IT, claims, and distribution teams.
• Develop and present strategic recommendations to C-suite executives, supporting data-driven decision-making.
• Manage multiple client engagements, ensuring timely delivery, regulatory alignment, and measurable business impact.

**Requirements:*

• Education: Bachelor’s degree in Business, Finance, Insurance, or a related field (MBA, CPCU, or AINS preferred).
• Experience: 5+ years in P&C insurance product management, consulting, or strategy roles, with a strong focus on personal lines.
• Industry Certifications (Preferred):
• CPCU (Chartered Property Casualty Underwriter) – Deep expertise in P&C insurance.
• AINS (Associate in General Insurance) – Strong foundational knowledge of insurance operations.
• ARM (Associate in Risk Management) – Specialization in risk assessment and mitigation.
• Lean Six Sigma or PMP – For project management and operational efficiency.
• Technical Expertise:
• Deep knowledge of personal lines product development, pricing, underwriting, and risk management.
• Experience with product rationalization, run-off strategies, and market repositioning.
• Strong understanding of state insurance regulations, rate filings, and DOI compliance.
• Familiarity with InsurTech solutions, AI-driven pricing models, and claims automation technologies.
• Proficiency in data analytics tools (e.g., SQL, Python, Tableau, Power BI) for actuarial and risk modeling.
• Consulting & Leadership Skills:
• Proven ability to develop strategic recommendations and present to C-suite executives.
• Strong project management skills with experience leading cross-functional teams in product transformation.
• Excellent problem-solving, analytical, and communication abilities.
• Expertise in Agile methodologies for product development and market deployment.
• Use of Lean Six Sigma frameworks for process optimization and operational efficiency.
• Experience with customer journey mapping, product lifecycle management, and digital transformation strategies.

Benefits:

This position comes with competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Retirement Plans
8. Paid Time Off
9. Training & Development

XML job scraping automation by YubHub

This role involves monitoring transaction patterns, analysing suspicious activities, and ensuring compliance with internal policies and regulatory requirements.

Responsibilities: Monitor real-time and batch transactions to identify suspicious or fraudulent activities. Review alerts generated by fraud detection systems and escalate high-risk cases. Conduct investigations on flagged transactions, accounts, and customer behaviour. Analyse transaction patterns and trends to identify emerging fraud risks. Collaborate with internal teams (Compliance, Risk, Operations) to resolve fraud cases. Document investigation findings and maintain accurate case records. Recommend improvements to fraud detection rules, systems, and processes. Ensure compliance with regulatory requirements (e.g., AML/CFT policies). Support fraud prevention initiatives and awareness programmes. Assist in reporting suspicious activities to relevant authorities when required.

XML job scraping automation by YubHub

The Safety organisation's mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic accounts, content and behaviour, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters.

As a Senior Machine Learning Engineer within the Account Identity team, you will be instrumental in developing our in-house Facial Age Estimation product and centralising age assurance controls. If you are passionate about solving complex, high-impact problems in an adversarial landscape, this is the team for you.

Responsibilities:

• Build high-precision facial age estimation and real-time liveness checks to ensure a safe user identity system.
• Develop and implement deepfake detection and 3D facial embeddings to defend against fraud and identity spoofing.

Requirements:

• Possessing or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas.
• Expertise in one or more areas: computer vision, facial recognition, deepfake detection, fraud detection.
• Strong coding skills with proficiency in one or more programming languages and experience with building large-scale systems.
• Experience working with large-scale data logs and tools like Spark and SQL to extract meaningful behavioural features.
• The ability to build and productionize end-to-end ML development life cycles, including data engineering and scoring algorithms.

Preferred Qualities:

• Resourceful: You're adaptable in any situation and can always find a path forward in the face of evolving threats.
• Analytical: Excited to investigate large, ambiguous datasets to find the 'signal in the noise' of billions of accounts.
• User Oriented: You understand that safety measures must be balanced with a seamless experience for our legitimate community members.
• Team Oriented: You are a sought-after mentor who lifts up your peers and builds a collaborative, high-performance environment.
• Mission Oriented: You are laser-focused on keeping Roblox safe and are willing to take bold, strategic risks to achieve a billion-user scale safely.

XML job scraping automation by YubHub

This is adversarial work: attackers adapt constantly, and we build the detection systems, heuristics, and automated responses that stay ahead of them.

What makes this role unique is the AI-native nature of Replit's platform. You'll work on problems that barely exist elsewhere: building guardrails for AI-generated code, detecting prompt injection attacks at scale, and using LLMs as a defensive tool against abuse.

If you want hands-on experience applying AI to security problems, this is one of the few places you can do it in production with real attackers. You'll own problems end-to-end, from identifying emerging abuse patterns to shipping the systems that stop them at scale.

Responsibilities

• Design and implement LLM guardrails that detect abuse scenarios in AI-generated code and agent interactions
• Build AI-powered detection systems that use LLMs to identify malicious patterns, classify threats, and automate response decisions
• Build and operate abuse detection systems that identify phishing, cryptomining, account takeover, and financial fraud across millions of daily user actions
• Design automated response mechanisms that enforce platform policies without manual intervention
• Own the full abuse response lifecycle: detection, investigation, enforcement, and handling appeals alongside Support and Legal
• Analyze attack patterns using BigQuery and Hex, turning investigation findings into new detection rules
• Maintain and extend internal detection tools (Slurper, Netwatch) that continuously monitor user activity
• Integrate and tune security scanners (SAST, SCA) in CI pipelines with tight performance SLAs
• Track abuse trends, measure detection effectiveness, and adapt defenses as attack patterns evolve

Requirements

• 8+ years of experience in security engineering, anti-abuse, trust & safety, or fraud detection
• Strong programming skills in Python and/or TypeScript for building detection systems and automation
• Experience with SQL and data analysis at scale (BigQuery, Snowflake, or similar)
• Experience building or fine-tuning ML/LLM-based classifiers for security or abuse detection
• Familiarity with prompt injection, jailbreaking, and other LLM-specific attack vectors
• Ability to investigate complex abuse patterns and translate findings into automated defenses
• Familiarity with common attack patterns: phishing infrastructure, account takeover, credential stuffing, resource abuse
• Clear communication skills for working across Security, Support, Legal, and Engineering teams

Nice to Have

• Experience at a platform company dealing with user-generated content or compute abuse (hosting providers, cloud platforms, developer tools)
• Background in fraud detection, payment abuse, or financial crime
• Familiarity with device fingerprinting, IP reputation, and email validation services
• Experience with CI/CD security tooling (SAST, SCA, Dependabot, Snyk)
• Knowledge of container security, Linux internals, or cloud infrastructure (GCP preferred)
• Prior work with abuse reporting pipelines, trust & safety tooling, or content moderation systems

Tools + Tech Stack for this role

• Languages: Python, TypeScript, Go, SQL
• Data: BigQuery, Hex
• Detection tools: Slurper, Netwatch, Stytch (device fingerprint); ClearOut (email reputation)
• CI/CD Security: Dependabot, Snyk, SAST/SCA scanners
• Infrastructure: GCP, Kubernetes
• Collaboration: Linear, Slack, Zendesk (for abuse reports)

XML job scraping automation by YubHub

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-5, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon.

Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. ChatGPT is a prime example of what is currently possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth.

The Fraud Engineering team works within our Applied Engineering organization identifying and responding to fraudsters on our platform. We are looking for a software engineer with anti fraud & abuse experience to help architect and build our next-generation anti-fraud systems.

About the role

The Scaled Abuse team protects OpenAI’s products and customers by detecting, preventing, and responding to fraudulent and abusive behavior at scale. We build and operate the backend and data systems that power real-time detection, investigation workflows, and enforcement , balancing strong protections with a great user experience as the platform grows.

Our work sits at the intersection of engineering and abuse expertise: we partner closely with Trust & Safety, Security, and Product to understand emerging attack patterns, translate messy signals into clear system behavior, and continuously harden our defenses. The problems are dynamic and ambiguous by default, so we value engineers who can quickly dive into an unfamiliar codebase, develop strong intuition about how it works end-to-end, and propose pragmatic improvements that make the entire stack more resilient.

In this role, you will:

• Design and build systems for fraud detection and remediation while balancing fraud loss, cost of implementation, and customer experience

• Work closely with finance, security, product, research, and trust & safety operations to holistically combat fraudulent and abusive actors on our system

• Stay abreast of the latest techniques and tools to stay several steps ahead of determined and well-resourced adversaries

• Utilize GPT-5 and future models to more effectively combat fraud and abuse

You might thrive in this role if you:

• Have at least 5 years of software engineering experience in backend and data systems.

• Have at least 2 years experience in fraud or abuse analysis, investigation, and/or operations

• Can dive into our codebase, intuit how it works, and be able to have a strong intuition for suggestions that will lead us to a stronger engineering position.

• A voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others

• Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary

• Experience in Machine Learning techniques is a plus, but not required

Our tech stack

Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka. While we value experience with these technologies, we are primarily looking for engineers with strong technical skills and the ability to quickly pick up new tools and frameworks.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).

[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and

XML job scraping automation by YubHub

LOCATION: San Francisco DEPARTMENT: Data Science JOB TYPE: Full time WORK ARRANGEMENT: Hybrid

JOB DESCRIPTION:

Compensation

• $293K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-4, GPT-3, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon.

Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. ChatGPT is a prime example of what is currently possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth.

The Scaled Abuse team works within our Applied Engineering organization identifying and responding to fraudsters on our platform. We are looking for a data scientist with anti fraud & abuse experience to help architect and build our next-generation anti-abuse systems.

About the Role

The Platform Abuse team protects OpenAI’s products from abuse. In the data scientist role, you will be responsible for discovering and mitigating new types of misuse, and scaling our detection techniques and processes. Platform Abuse is an especially exciting area since we believe most of the ways our technologies will be abused haven’t even been invented yet.

This role is based in our San Francisco HQ. We offer relocation assistance to new employees.

In this role, you will:

• Design and build systems for fraud detection and remediation while balancing fraud loss, cost of implementation, and customer experience.

• Work closely with finance, security, product, research, and trust & safety operations to holistically combat fraudulent and abusive actors on our system.

• Stay abreast of the latest techniques and tools to stay several steps ahead of determined and well resourced adversaries.

• Utilize GPT-5 and future models to more effectively combat fraud and abuse.

You might thrive in this role if you:

• Have experience on a highly technical trust and safety team and/or have worked closely with policy, content moderation, or security teams.

• Can use coding languages (Python preferred) to programmatically explore large datasets and generate actionable insights to solve problems.

• Proven ability to propose, design, and run rigorous experiments (A/B tests, quasi-experiments, simulations) with clear insights and actionable product recommendations, leveraging SQL and Python.

• Excellent communication skills with a track record of influencing cross-functional partners, including product managers, engineers, policy leads, and executives.

• Bonus if you have experience with deploying scaled detection solutions using large language models, embeddings, or fine tuning.

• 5+ years of quantitative experience in ambiguous environments, ideally as a data scientist at a hyper-growth company or research org, with exposure to fraud, abuse, or security problems.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).

[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $293K - $325K

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Responsibilities:

Strategic Threat Modeling: Develop and maintain comprehensive adversarial frameworks to map the lifecycle of emerging threats, from account compromise (ATO) to malicious payload delivery.

Evolution of Advertiser Trust: Advance the continuous, signal-based security protocol. Research and implement behavioural biometrics and Proof of Liveness models to detect synthetic identities and coordinated fraud rings.

Adversarial Research: Proactively identify 'unknown unknown' vulnerabilities through red-teaming and exploratory data analysis, developing models to predict attacker behaviour before widespread exploitation.

Technical Leadership: Drive the technical roadmap for integrity and security, mentoring senior engineers and influencing cross-functional stakeholders on security investment priorities.

Qualifications:

Bachelor's, Master's, or PhD degree in Computer Science, Cybersecurity, Mathematics, or a related field, with 10+ years of related experience.

Deep technical expertise in Cybersecurity, Anti-Abuse, or Adversarial Machine Learning.

Strong programming skills in C++ or Python (at least one is required), with experience in building production-quality security or ML systems.

Hands-on experience in one or more of the following: Web Security standards and Authentication Protocols (OAuth, OIDC).

Malware analysis, de-obfuscation, or reverse engineering.

Building fraud detection models at scale.

Proven ability to design and implement defence mechanisms against complex abuse vectors (e.g., botnets, synthetic identity, evasion/cloaking).

Strong communication and collaboration skills, with experience articulating complex security risks to business and product leadership.

Preferred Qualifications:

5+ years of experience in an Adversarial/Trust & Safety role at a major internet platform or cybersecurity firm.

Familiarity with the Ad-Tech stack (RTB, OpenRTB) and associated fraud incentives.

Background in Graph Neural Networks (GNNs) for fraud ring detection or behavioural biometrics.

Track record of impact via security research publications, patents, or contributions to industry security standards.

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As a Fraud & Risk Operator, you will continually identify and assess conditions that may present risks to the business and consumers. You will implement strategies to mitigate risks and ensure regulatory obligations are met. You will monitor and review financial transactions to ensure accuracy and compliance with company policies.

Key responsibilities include:

• Identifying and investigating suspicious activities or transactions to prevent and mitigate fraud
• Analyzing transaction patterns and user behaviors to detect potential risks and fraudulent activities
• Processing and verifying customer cash outs, ensuring all transactions are accurate and detailed
• Working with customer service and other departments to resolve payment issues and meet customer needs

To succeed in this role, you will require strong analytical and diligent skills. You will also need to be proficient with computer software and operating systems, such as Microsoft Office products.

This is an outstanding opportunity to be part of a team that values innovation, collaboration, and excellence. If you are ambitious and have a sharp eye for detail, this role will empower you to successfully implement and shape strategies that greatly influence our business.

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You'll empower our team to meet the highest standards for quality, speed, and compliance. Ready to lead from the front? Apply now and be part of this transformative mission.

Your key responsibilities will include:

• Maintaining a high score across Fraud and User (Re-)Review workflows, ensuring smooth and empathetic user experiences
• Focusing on fraud prevention and user trust without compromise
• Driving high-speed quality control & learning loops by consistently completing Quality Control (QC) evaluations and keeping control of any backlog
• Resolving structural issues before they affect our users
• Ensuring unwavering regulatory compliance by upholding strict adherence to all regulations and fraud detection frameworks
• Leveraging AI for Scaled Efficiency by deploying AI tools to evaluate an increasing case volume and innovating AI-enhanced workflows to streamline and scale quality operations

You’ll thrive in our environment if this sounds like you:

• You have a strong understanding of KYC, EDD, AML, and fraud detection frameworks, as well as deep regulatory knowledge to ensure accurate decision-making under high stakes without compromising user experience
• You’re experienced in implementing and optimizing AI-driven systems to evaluate cases and streamline quality control
• You’re capable of scaling quality operations efficiently as case volumes grow
• You’re proficient in balancing team workloads with business demands and regulatory audits, keeping critical error rate at 0%
• You have strong communication skills to align stakeholders and drive team performance

Requirements

• You're fluent in English and an excellent communicator
• You’re familiar with tools like Looker to identify and address root causes of performance gaps
• You have proven experience leading high-performance teams while maintaining strict SLAs
• You have the ability and willingness to leverage AI for scaled efficiency

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You will develop and iterate on account signals and prevention frameworks that consolidate internal and external data into actionable abuse indicators.

You will develop and optimize identity and account-linking signals using graph-based data infrastructure to detect coordinated and scaled account abuse.

You will evaluate, integrate, and operationalize third-party vendor signals , assessing whether new data sources provide genuine lift in detection.

You will expand internal account signals with new data sources and behavioural indicators to improve detection coverage.

You will build and maintain processes that evaluate new product launches for scaled abuse risks, working closely with product teams to ensure enforcement readiness.

You will operationalize and iterate on enforcement tooling , including appeals workflows, review processes, and user communications , to maintain quality and scale with growing volume.

You will analyse enforcement performance through operational metrics, partnering with the team to keep detection accurate as abuse patterns evolve.

You will manage payment fraud and dispute operations to protect revenue and maintain our standing with payment partners.

You will coordinate enforcement efforts for policy compliance gaps across products, working with relevant teams to build scalable review processes.

You will collaborate with cross-functional teams (Engineering, Product, Legal, Data Science) to surface new signals and translate detection capabilities into enforcement workflows.

You will maintain detailed documentation of signal development, enforcement processes, and operational decisions.

This role requires 2+ years of experience in risk scoring, fraud detection, trust and safety, or policy enforcement.

You should have hands-on experience building detection systems, risk models, or enforcement processes and workflows.

You should have experience evaluating and integrating third-party data sources into detection or scoring pipelines.

You should have strong SQL and Python skills , this role involves heavy data analysis across complex, multi-table data relationships.

You should have familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications.

You should have demonstrated ability to analyse complex data problems and translate findings into actionable improvements.

You should have strong written and verbal communication skills , ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations.

Equivalent practical experience or a Bachelor's degree in Computer Science, Data Science, or related field is required.

This role offers an annual salary range of $230,000-$310,000 USD.

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Fraud remains one of the hardest problems in financial services,and one of the biggest opportunities for Plaid. Our Fraud team is building the trusted identity backbone for the financial ecosystem, helping customers onboard good users with confidence while keeping bad actors out.

As the Product Manager for Identity Verification (IDV) and Monitor (AML), you’ll own the foundation of Plaid’s fraud platform. IDV enables fast, accurate identity verification at onboarding, while Monitor provides continuous AML screening and transaction monitoring. Together, they power Protect and Layer–Plaid’s next-generation fraud products.

In this role, you will take end-to-end ownership of IDV and Monitor–setting direction, driving execution, and aligning teams around measurable outcomes. You’ll blend technical, data and design perspectives to move from concept to production quickly and deliver systems that are accurate, reliable and built for scale. You’ll partner directly with Plaid’s fraud founders and an experienced engineering team to raise the standard for fraud prevention.

Responsibilities

• Set the direction. Own the vision, strategy, and roadmap for IDV and Monitor end to end. Drive meaningful outcomes for fraud prevention, compliance, and customer experience.

• Build the backbone. Grow IDV and Monitor as the core of Protect and Layer by expanding data coverage, improving decision quality, and enhancing reliability, latency, and transparency across systems

• Execute with focus. Partner closely with engineering, design, and other Fraud teams to move from concept to production with clear launch criteria and consistent follow-through.

• Communicate with precision. Create clarity across teams by articulating decisions, tradeoffs and rationale crisply. translating complex systems into simple narratives and keeping partners aligned on what matters.

• Stay close to the field. Engage with customers and GTM teams to spot fraud and compliance patterns early, translate them into product improvements, and maintain momentum through demos, integrations, and launches.

Qualifications

• 6+ years of product management experience in fraud, risk, security, or identity

• Strong technical foundation with a degree in Computer Science or a related field preferred

• Experience building or integrating fraud detection, risk scoring, or IDV/AML systems

• Ability to write clear product requirements and communicate technical concepts to diverse audiences

• Comfortable working closely with engineering, data, and go-to-market teams to deliver measurable impact

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description.

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Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As a Safeguards Analyst focusing on Account Abuse, you will play a critical role in building and scaling the detection, enforcement, and operational capabilities that protect our platform against scaled abuse.

Responsibilities:

• Develop and iterate on account signals and prevention frameworks that consolidate internal and external data into actionable abuse indicators
• Develop and optimize identity and account-linking signals using graph-based data infrastructure to detect coordinated and scaled account abuse
• Evaluate, integrate, and operationalize third-party vendor signals — assessing whether new data sources provide genuine lift in detection
• Expand internal account signals with new data sources and behavioural indicators to improve detection coverage
• Build and maintain processes that evaluate new product launches for scaled abuse risks, working closely with product teams to ensure enforcement readiness
• Operationalize and iterate on enforcement tooling — including appeals workflows, review processes, and user communications — to maintain quality and scale with growing volume
• Analyze enforcement performance through operational metrics, partnering with the team to keep detection accurate as abuse patterns evolve
• Manage payment fraud and dispute operations to protect revenue and maintain our standing with payment partners
• Coordinate enforcement efforts for policy compliance gaps across products, working with relevant teams to build scalable review processes
• Collaborate with cross-functional teams (Engineering, Product, Legal, Data Science) to surface new signals and translate detection capabilities into enforcement workflows
• Maintain detailed documentation of signal development, enforcement processes, and operational decisions

Qualifications:

• 2+ years of experience in risk scoring, fraud detection, trust and safety, or policy enforcement
• Hands-on experience building detection systems, risk models, or enforcement processes and workflows
• Experience evaluating and integrating third-party data sources into detection or scoring pipelines
• Strong SQL and Python skills — this role involves heavy data analysis across complex, multi-table data relationships
• Familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications
• Demonstrated ability to analyze complex data problems and translate findings into actionable improvements
• Strong written and verbal communication skills — ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations
• Equivalent practical experience or a Bachelor's degree in Computer Science, Data Science, or related field

You might be a good fit if you:

• Have built risk scores, detection systems, signal pipelines, or enforcement processes in a previous role — identity verification, trust and safety, or similar
• Are comfortable working with ambiguous, noisy data and extracting meaningful signal
• Think critically about signal quality and enforcement performance — evaluating whether new detection signals or processes meaningfully improve outcomes
• Have experience with graph-based data, account-linking problems, or cross-functional process design
• Are proactive about identifying gaps in existing detection or enforcement and proposing new approaches
• Have experience leveraging generative AI tools to support analytical, detection, or enforcement workflows
• Can balance deep analytical work with cross-functional collaboration and stakeholder coordination
• Have a background or interest in cybersecurity or threat intelligence (a plus, not a requirement)

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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Start with an opening paragraph (no heading): what the role is, who the company is, why it matters. If the ad mentions salary, include it here.

Rephrase bullet points in your own words while keeping the factual content. Combine related points where it makes sense.

For benefits/perks: gather them from anywhere in the ad into one section. If the ad mentions nothing about benefits, omit a benefits section entirely.

Do not invent information that is not in the original ad.

About the role The Anti-Abuse team is the front line defending Replit's platform from exploitation. We detect and shut down phishing deployments, prevent cryptomining on free-tier infrastructure, stop LLM token farming, and keep bad actors from weaponizing the platform against our users. This is adversarial work: attackers adapt constantly, and we build the detection systems, heuristics, and automated responses that stay ahead of them.

What makes this role unique is the AI-native nature of Replit's platform. You'll work on problems that barely exist elsewhere: building guardrails for AI-generated code, detecting prompt injection attacks at scale, and using LLMs as a defensive tool against abuse. If you want hands-on experience applying AI to security problems, this is one of the few places you can do it in production with real attackers. You'll own problems end-to-end, from identifying emerging abuse patterns to shipping the systems that stop them at scale.

In this role you will…

• Design and implement LLM guardrails that detect abuse scenarios in AI-generated code and agent interactions
• Build AI-powered detection systems that use LLMs to identify malicious patterns, classify threats, and automate response decisions
• Build and operate abuse detection systems that identify phishing, cryptomining, account takeover, and financial fraud across millions of daily user actions
• Design automated response mechanisms that enforce platform policies without manual intervention
• Own the full abuse response lifecycle: detection, investigation, enforcement, and handling appeals alongside Support and Legal
• Analyze attack patterns using BigQuery and Hex, turning investigation findings into new detection rules
• Maintain and extend internal detection tools (Slurper, Netwatch) that continuously monitor user activity
• Integrate and tune security scanners (SAST, SCA) in CI pipelines with tight performance SLAs
• Track abuse trends, measure detection effectiveness, and adapt defenses as attack patterns evolve

Required skills and experience:

• 4+ years of experience in security engineering, anti-abuse, trust & safety, or fraud detection
• Strong programming skills in Python and/or TypeScript for building detection systems and automation
• Experience with SQL and data analysis at scale (BigQuery, Snowflake, or similar)
• Experience building or fine-tuning ML/LLM-based classifiers for security or abuse detection
• Familiarity with prompt injection, jailbreaking, and other LLM-specific attack vectors
• Ability to investigate complex abuse patterns and translate findings into automated defenses
• Familiarity with common attack patterns: phishing infrastructure, account takeover, credential stuffing, resource abuse
• Clear communication skills for working across Security, Support, Legal, and Engineering teams.

Nice to have:

• Experience at a platform company dealing with user-generated content or compute abuse (hosting providers, cloud platforms, developer tools)
• Background in fraud detection, payment abuse, or financial crime
• Familiarity with device fingerprinting, IP reputation, and email validation services
• Experience with CI/CD security tooling (SAST, SCA, Dependabot, Snyk)
• Knowledge of container security, Linux internals, or cloud infrastructure (GCP preferred)
• Prior work with abuse reporting pipelines, trust & safety tooling, or content moderation systems

Tools + Tech Stack for this role

• Languages: Python, TypeScript, Go, SQL
• Data: BigQuery, Hex
• Detection tools: Slurper, Netwatch, Stytch (device fingerprint); ClearOut (email reputation)
• CI/CD Security: Dependabot, Snyk, SAST/SCA scanners
• Infrastructure: GCP, Kubernetes
• Collaboration: Linear, Slack, Zendesk (for abuse reports)

This role may _not_ be a fit if

• You prefer deep security research over building operational detection systems
• You want to focus on vulnerability management, pentesting, or bug bounty triage (that's our Security team)
• You're looking for a role with predictable, well-defined problems rather than constantly adapting to adversarial behavior
• You prefer working in isolation rather than partnering closely with Support, Legal, and cross-functional teams
• You're uncomfortable making enforcement decisions that affect real users

_This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday._

Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🚗 Commuter Benefits 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement 🏝 Flexible Time Off (FTO) + Holidays 🚀 Quarterly Team Gatherings ☕ In Office Amenities

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