Jobs at Bureau (bureau.id)

Build and maintain graph-native fraud and identity-risk models using GNNs, embeddings, and graph algorithms. Support statistical, AI/ML, and deep-learning model design, training, evaluation, experimentation, data preparation, and production-adjacent pipeline work. Write production-quality Python and SQL-backed code, contribute to ML observability, and document solutions. The role suits candidates with 1–3 years of data science or ML engineering experience and strong fundamentals.

Analyze transaction and API performance data to identify product optimization opportunities, investigate verification failures, benchmark services, and report actionable insights. Own data sourcing and quality for OCR training sets, including document sourcing, volume management, and tagging. Use SQL and data visualization to recommend improvements to Engineering and Product teams.

Own the vision, strategy, and roadmap for Bureau’s RASP mobile security product across Android and iOS. Translate emerging mobile threats into effective protections, partner with engineering on SDK and platform delivery, improve onboarding and policy experiences, and connect RASP signals with identity and fraud products. Engage enterprise security and fraud leaders, support positioning and pricing, define product metrics, and scale the product from early release to adoption.

Build and maintain batch and streaming data pipelines, backend services, REST APIs, Airflow workflows, Spark jobs, and SQL transformations. Own monitoring, data quality, infrastructure stability, production debugging, documentation, and testing. Contribute to identity graph development for fraud detection and collaborate on data models, schemas, and real-time decisioning systems. The role requires strong programming, SQL, database, distributed systems, cloud, and software engineering fundamentals.

Build graph-native and machine learning models to detect fraud, collusion, and identity risks across banking and e-commerce networks. Design, experiment with, and deploy statistical, AI/ML, and deep learning models for real-time risk serving. Develop production-grade ML software with observability, perform light data pipeline work, and independently identify business impact using ambiguous and unlabeled data.

Leads enterprise NBFC customer acquisition for Bureau’s risk and compliance platform. Responsibilities include prospecting, consultative selling, full-cycle deal management, negotiations, onboarding coordination, stakeholder relationships, competitive analysis, forecasting, pipeline reporting, and achieving aggressive new-business targets. The role partners cross-functionally with product, operations, and customer success teams to support integration and long-term client retention.

Manage end-to-end payroll using Razorpay and Rippling, maintain employee records, handle contractor invoices, ensure compliance with PF/PT/TDS/GST, manage flexi benefits and tax planning, support onboarding and employee payroll queries, verify expense claims, and assist with financial accounting and month-end activities.

Lead vision, strategy, and roadmap for Device Intelligence and Behavioral Biometrics product lines. Drive discovery and delivery with Engineering and Data Science, engage customers to inform product direction, define metrics, and partner with GTM teams for pricing, positioning, and launches across India and international markets.

Drive new-business growth by acquiring enterprise marketplace clients across e-commerce, logistics, and gig ecosystems. Own the full sales cycle from prospecting through contract closure and onboarding coordination. Build executive and partner relationships, develop strategic sales plans, negotiate commercial terms, monitor market and competitive trends, maintain forecasts and pipeline reports, and collaborate cross-functionally to support client integration and retention. The role requires consistently achieving aggressive revenue and new-client targets in a fast-paced environment.

Lead enterprise acquisition for NBFC clients, owning the full sales cycle from prospecting and solution presentation through negotiation, closure, and onboarding coordination. Build relationships with CXOs and partners, develop strategic sales plans, monitor market and regulatory trends, maintain forecasts and pipeline reports, and achieve aggressive new-business targets. Collaborate with product, operations, and customer-success teams to support integration, retention, and long-term client growth.

Acquire and close new enterprise banking and financial-services clients across banks, NBFCs, fintech lenders, payment processors, and other institutions. Manage the complete consultative sales lifecycle, build pipelines, understand fraud, risk, and compliance needs, negotiate commercial terms, forecast revenue, and collaborate with product, operations, and customer-success teams to support onboarding and long-term client outcomes.

Hands-on security engineering and GRC: secure AWS/EKS infrastructure, review IaC, run vulnerability management and incident response, maintain ISMS and audit evidence (ISO27001, SOC2, DPDP), perform risk assessments and vendor due diligence, automate access and asset controls, and maintain security monitoring and awareness programs.

The Senior Product Marketing Manager will develop differentiated messaging and positioning, support product launches, enable Sales, and provide market intelligence for Bureau's solutions in the identity and fraud sectors.

The Product Manager for Transaction Monitoring will define strategy, lead product development, manage client relations, and ensure compliance with regulations while tackling fraud risks.

Build and maintain high-performance Android SDKs and cross-platform components, collaborate with product teams to extract reusable patterns, optimize for performance and security, and ensure reliable SDK delivery via CI/CD and observability tooling.

Lead and scale a global L2/L3 Technical Support team for enterprise SaaS customers. Drive SLA adherence, incident and escalation management, backlog reduction, operational reporting, and cross-functional improvements. Coach and recruit engineers, build product and integration expertise, and partner with Product and Engineering to eliminate recurring issues and improve platform reliability.

Design, build, and operate Bureau's cloud data lake and streaming/batch pipelines to support fraud detection and identity intelligence. Own orchestration (Airflow), reliability, observability, and cost-efficiency. Collaborate with data science and ML teams on feature stores and model pipelines, implement schema governance and data quality, and apply graph databases to model identity networks.

The Integration Engineer will facilitate SDK integrations for clients, providing technical support, troubleshooting, and documentation, while collaborating with various teams to enhance customer satisfaction and streamline operations.