Top Tech Jobs & Startup Jobs

Design, build, and deploy ML models for fraud, risk, and intelligence products; translate business problems into data solutions; develop anomaly detection and graph-based methods; own end-to-end model development, deployment, and monitoring; run experiments and manage large multi-country datasets; partner cross-functionally to ship privacy-safe data products and explain model outputs to technical and non-technical stakeholders.

Develop and deliver Android application features and performance improvements across the product lifecycle. Write high-quality, tested code, participate in design and code reviews, debug issues, collaborate with product and release teams, and mentor junior engineers.

Lead quantitative insights for a product team: understand data, define and analyze experiments, build KPIs, create pipelines and dashboards, and mentor colleagues to drive data-driven product decisions.

Lead and scale Truecaller's global programmatic advertising business: drive revenue across open auction and private deals, manage strategic DSP/SSP/exchange partnerships, optimize yield (eCPM, ARPDAU, fill/render rates), collaborate with Product/Engineering on auction and mediation improvements, lead cross-functional execution, and mentor teams while owning commercial outcomes and performance reporting.

As a Senior Site Reliability Engineer, you will manage and maintain infrastructure services, improve system performance, and ensure reliability and availability.

Lead quantitative insights and experimentation for product teams: define and analyze experiments, build KPIs, create data pipelines and dashboards, mentor teammates, and collaborate with product, tech, and design to drive data-informed decisions.

Provide end-user IT support and system administration across Windows, macOS, and Linux. Manage onboarding, account provisioning, network and device troubleshooting, inventory, license procurement, vendor relationships, ISO-aligned security and compliance, documentation, and process improvements to maintain reliable IT operations.

Lead design and build of scalable, low-latency data pipelines and core data infrastructure (Spark, Kafka, BigQuery, Airflow). Operationalize ML models, drive cross-squad delivery, improve system reliability, and mentor engineers while owning large ambiguous problems end-to-end.