About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. Team & Mission The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, fine‑grained access controls, centralized privacy rules enforcement, and de‑identification pipelines for conversion data. Our mission is to make conversion data privacy‑preserving by default—centralized, de‑identified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape. Role Summary We’re seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and de‑identification for ads reporting. You’ll own the end‑to‑end design and evolution of privacy‑critical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale. What you’ll do: - Lead the technical strategy and architecture for conversion data privacy across access controls, de‑identification, deletion, and privacy rules enforcement, driving toward a centralized, de‑identified‑by‑default, automated privacy platform for monetization. - Design and evolve core privacy infrastructure including controlled environments for sensitive data, fine‑grained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines. - Own de‑identification pipelines for ads reporting end‑to‑end—from separating sensitive and non‑sensitive data, applying de‑identification techniques and transformations, and generating privacy‑preserving datasets, to validating data utility and feeding reporting and analytics surfaces. - Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and self‑service for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases. - Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., de‑identification quality, opt‑out metrics, data leakages), leading incident response, and developing performant deletion and leakage‑handling workflows that meet regulatory and audit requirements. - Partner cross‑functionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear trade‑offs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users. - Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacy‑sensitive areas, and establish best practices and documentation for privacy‑by‑design, de‑identification, and large‑scale data systems. What we’re looking for: - BS+ in Computer Science (or related field) or equivalent practical experience. - 8+ years of professional software engineering experience, with a focus on large‑scale data systems or distributed systems. - Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus. - Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization. - Meaningful experience in at least one of: privacy‑preserving data systems (e.g., de‑identification, k‑anonymity), ads measurement/attribution, or large‑scale analytics/experimentation platforms. - Proven ability to drive cross‑team technical initiatives from design through rollout, working closely with product, data science, and non‑engineering partners (e.g., Legal, Compliance). - Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, high‑impact problem spaces. In-Office Requirement Statement: - We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. Relocation Statement: - This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-KK6 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $177,185—$364,795 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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About the Role As organizations face increasingly sophisticated social engineering and insider threats, the very foundation of trust—the employee identity—is under attack. Abnormal’s Identity Security team is building a groundbreaking product to detect and prevent fraudulent employee identities, specifically targeting high-stakes threats like infiltrators seeking to funnel funds through deceptive employment. We use advanced behavioral intelligence to scrutinize candidate details—from resumes and application metadata like IP addresses, email addresses, and phone numbers—to identify suspicious patterns and prevent malicious actors from entering the workforce. We are extending Abnormal’s leadership in AI-native security to protect the integrity of the modern enterprise at the point of hire. What you will do - Build identity verification and fraud detection systems to scrutinize candidate data during the application process. - Develop sophisticated correlation engines that match candidate details (IPs, phone numbers, email history, resume metadata) against known indicators of fraudulent or state-sponsored activity. - Create high-availability pipelines that ingest and analyze signals from application tracking systems (ATS), identity providers, and external risk intelligence. - Ship automated guardrails that flag high-risk candidates in real-time, enabling security teams to act before an infiltrator is onboarded. - Drive 0→1 iteration: prototype quickly, test fraud detection assumptions, learn from emerging threat patterns, and scale simple, effective solutions. - Collaborate across security, platform, and data teams; write and review technical designs; and participate in core SDLC rituals. Must Haves - 2+ years building software applications. - Experience productionizing large-scale, data-intensive systems. - High velocity and creativity in solving technical challenges related to fraud detection and pattern matching. - Experience & desire to adopt & improve AI-native development workflows. - Strong debugging skills with logs, metrics, and behavioral signals. - Ability to translate complex security and business requirements into high-quality software. - Ability to independently solve complex problems and work cross-functionally. - BS in CS/SE/IS or a related field. Nice to Have - Experience with Go and Python. - Experience in fraud detection, identity verification, or anti-money laundering (AML) systems. - Background in cybersecurity, specifically focused on insider threats or nation-state actor TTPs (Tactics, Techniques, and Procedures). - Experience with big data, statistics, and ML for identity/behavioral risk modeling and anomaly detection. #LI-AJ1 At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. Base salary range: $148,800—$175,000 USD Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a highly skilled Senior Software Engineer to join our dynamic team. The ideal candidate will have extensive experience in software development, with a strong background in computer engineering or software engineering, and a proven ability to work collaboratively in a fast-paced environment. This role requires a self-starter who can contribute to the design, development, and implementation of complex software systems. - Must have an active and transferable DoD security clearance with current investigation at the required level. - Must be able to maintain the required clearance. Qualifications - Bachelor’s degree in Computer Engineering, Software Engineering, or equivalent. - 7+ years of professional software development experience. - Proficiency in: - Containers (e.g., Docker) - Container orchestration (e.g., Kubernetes) - Linux and MS Windows environments - GitLab for version control - Java and Python programming languages - Modeling and simulation techniques - Strong ability to work effectively in team settings. - Self-starter with excellent problem-solving skills and initiative. Requirements - Design, develop, and maintain software solutions using Java and Python. - Implement and manage containerized applications and orchestration systems. - Collaborate with cross-functional teams to deliver high-quality software products. - Utilize GitLab for version control and collaborative development. - Support modeling and simulation efforts to enhance system performance. - Ensure compatibility and optimization across Linux and MS Windows platforms. - Contribute to the continuous improvement of development processes and tools. Desired Skills - Experience in missile defense systems. - Expertise in planning and defense design. - Familiarity with weapon and sensor models. - Knowledge of command and control systems.

• As a Power Platform Expert, you will be responsible for designing, developing, and implementing solutions using Microsoft Power Platform. • Work closely with the client and cross-functional teams to analyze business processes, gather requirements, and create custom applications and workflows. • Responsible for the complete lifecycle of the software you create, including development, integration, testing and releasing the solution. • Work on bug fixing and improving application performance. • May be involved in actively mentoring the client and junior team members, play an active role in addressing or helping the team with critical issues/escalation.