Jobs at Truecaller

Build, test, and deploy high-traffic backend services; own project delivery and quality; ensure stability, performance, and maintainability; collaborate across functions from design to production and improve team processes.

Lead and grow a multidisciplinary ML and data engineering team building retrieval, ranking, contextual-bandit systems and real-time serving/data platforms. Set technical direction, prioritize delivery, ensure reliability and experimentation rigor, partner with product and cross-functional teams, and manage hiring, performance, and career development.

Design, build, and maintain scalable data pipelines and infrastructure powering SMS features, fraud detection, and ML capabilities. Collaborate with data scientists, analysts, and product teams to enable feature engineering, ensure reliable ingest of billions of events daily, improve platform tooling, and establish best practices for production data workflows.

Build and maintain scalable data ingestion and ETL pipelines delivering billions of events daily; support and optimize teams' pipelines; develop platform tools and frameworks; collaborate with data scientists and analysts; implement best practices for software and data development; work on streaming and ML platform projects.

Build and own large-scale feature and training-data pipelines, streaming ingestion, real-time feature store, and ad-event attribution backbones supporting recommendation and ads ML systems. Collaborate with data scientists to productionize models, ensure data freshness and lineage, and maintain reliable, monitored pipelines at scale.

Design, build, and maintain core Android platform components (networking, architecture, performance, shared libraries). Deliver features, write tests, participate in design reviews, mentor junior developers, and collaborate with release teams to ensure high-quality continuous delivery.

Optimize training and deployment of ML models for cost, speed, and mobile use. Enable teams to deploy models to production, specialize in on-device ML (Android/iOS), drive best practices, and explore federated learning and new ML deployment techniques.

Lead and grow a Data Science team for Truecaller for Business, define strategy and KPIs, architect and deploy scalable ML models, ensure model governance and MLOps best practices, partner with product and engineering, and drive measurable business impact.

Lead and grow a multidisciplinary ML and data engineering team building recommendation and ad-serving systems. Set technical direction across retrieval, ranking, contextual bandits, and real-time serving. Own planning, delivery, experimentation rigor, production reliability at scale, and people development while partnering with product and cross-functional stakeholders.

Leads multi-team backend engineering initiatives, guides technical strategy, establishes engineering best practices, mentors experienced engineers, and ensures scalable, reliable systems. The role balances hands-on technical leadership with stakeholder alignment, project delivery, system quality ownership, recruitment support, and cross-functional collaboration. Candidates need 10+ years of experience with Scala, Java, or Go and expertise in highly available distributed systems, databases, security practices, and engineering leadership.

Own the supply-side product roadmap for Truecallers ads: unlock and evolve inventory, improve ad experience quality (viewability, latency, click quality), build signal and measurement foundations, ensure compliance, and collaborate with demand, engineering, design, and ad operations to drive monetization without degrading user experience.

Own and grow Truecaller's direct ads products (branding and performance). Lead roadmap, build bidding/pricing/optimization and attribution (MMP integrations), improve conversion funnels, collaborate with engineering, data science, sales and ad ops to drive advertiser outcomes and revenue growth.

Own the intelligence layer of Truecallers programmatic ads platform: define strategy and roadmap for decisioning, pricing, and auction systems; build auction intelligence and pricing strategies; drive yield (eCPM, fill, win rate); optimize performance, reliability, and latency at scale; design long-term platform capabilities; set KPIs and run experiments to iterate and measure impact.

Lead data science initiatives across product and engineering: design ML solutions, gather and analyze data, build and productionize data products, collaborate with stakeholders, and mentor other data scientists to improve technical skills and delivery.

Design, develop, maintain, and architect Truecaller’s iOS application. Build features across authentication and search, optimize performance and responsiveness, debug complex issues, write scalable code, participate in the full software development lifecycle, conduct code reviews, collaborate cross-functionally, and mentor engineers.

Support EU sales and customer success activities for Truecaller for Business. Qualify inbound leads, run outbound campaigns, book meetings, conduct discovery conversations and demos, maintain CRM data, and support customer onboarding, dashboard walkthroughs, and follow-ups. The role requires strong communication, initiative, fluent English, and an interest in sales, business development, or customer success.

Own the Recommendations product portfolio (Ads, Business Messaging, Premium, Growth). Define ML-driven roadmaps, translate commercial goals into prioritized experiments, run end-to-end A/B tests, partner with engineering/data science, and report revenue and engagement KPIs to leadership. Drive reusable ML platform decisions and forecast impact of roadmap items.

Design, build, and operate scalable, low-latency backend services for a high-volume distributed system. Ensure high availability, collaborate with cross-functional teams, mentor engineers, evaluate new technologies, and drive delivery of reliable systems supporting millions of users.

Own end-to-end execution and optimization of mobile app acquisition campaigns: configure MMP integrations, launch and scale CPI/CPA/CPL/CPC campaigns, monitor pacing and quality, troubleshoot tracking and attribution, work with product/data/engineering, build reports, and maintain client communication.

Design, develop, and maintain Truecaller9s iOS application across features from authentication to search. Collaborate with cross-functional teams, ensure app performance and responsiveness, debug complex issues, participate in design and code reviews, follow SDLC, and write clean, maintainable code.