Jobs at Truecaller

Leads Truecaller’s global product organization and owns product vision, portfolio strategy, innovation, execution, monetization, and performance across consumer products. Partners with the CEO and executive leadership to drive user growth, engagement, retention, and business value. Manages 40 product professionals through five senior leaders, establishes KPIs and operating processes, guides new product bets, and develops senior talent across international markets.

Design and develop a high-performance Android SDK used across numerous devices and configurations. Own features, improve architecture, modularization, testing, performance, privacy, security, and reliability. Collaborate with product managers, designers, engineers, and SDK partners. Apply modern Android technologies, ad tech APIs, mediation platforms, and scalable engineering practices to deliver efficient, maintainable solutions for hundreds of millions of users.

Own Truecaller’s ads pricing, revenue strategy, yield optimization, packaging, and monetization decisions across direct sales and programmatic channels. Analyze eCPM, fill rates, auctions, inventory mix, and partner performance; build financial models and business cases; design pricing experiments; and measure outcomes. Partner with Sales, Product, Finance, and Engineering on revenue planning, pricing guardrails, deal structures, quota support, and leadership recommendations.

Leads the Cloud Infrastructure team responsible for compute, Kubernetes, networking, IAM, and stateful data stores. Manages hiring, coaching, roadmap planning, platform tooling, operational excellence, incident response, on-call health, capacity planning, and cloud cost efficiency. Partners with infrastructure leadership and business stakeholders to deliver reliable infrastructure programs and guide long-term technical direction.

Executive leader responsible for Truecaller's global user growth strategy, budget, and P&L. The role integrates performance marketing, user acquisition, data analytics, monetization, product-led growth, and retention. Responsibilities include building international market-entry playbooks, optimizing acquisition spend and product flows, leading experimentation, improving contribution margin and LTV, and scaling a multidisciplinary growth organization. The candidate will drive consumer app expansion across India and global markets while communicating analytical insights and strategic recommendations to executives and board members.

Own end-to-end technical recruiting across engineering, data, infrastructure, and support roles in Sweden and European markets. Partner strategically with hiring managers, source specialized talent through creative channels, use AI and recruitment analytics to improve hiring, and manage candidate relationships from outreach through offer acceptance. Build employer brand, coach stakeholders, and continuously optimize recruitment processes and candidate experience.

Own enterprise customer success after the sales cycle by onboarding clients, nurturing relationships, driving product adoption and value, managing churn, supporting renewals and expansions, conducting business reviews, and measuring retention, NPS, revenue, and compliance metrics. The role partners with Sales and Product teams, maps customer stakeholders, translates business needs into use cases, and supports global customers, including Arabic-speaking clients.

Own the strategy and roadmap for Truecaller’s Identity, Risk and Fraud Management products. Lead development of APIs, SDKs, and data-driven services with engineering, data science, and design teams. Translate fraud and identity signals into product requirements, support enterprise integrations, track performance and adoption metrics, and ensure compliance with GDPR, DPDPA, and other data protection frameworks. Partner with B2B customers, legal, security, sales, marketing, and customer success teams across global markets.

Own the vision, strategy, KPIs, and roadmap for Truecaller’s Verified Communications portfolio. Lead market research, customer discovery, monetization, pricing, product delivery, and go-to-market collaboration across product, engineering, analytics, marketing, sales, and customer success. Coach teams, influence stakeholders, communicate priorities, and drive products toward revenue growth and large-scale adoption.

Advises business, product, and engineering teams on legal risk, commercial agreements, technology matters, AI/ML, data privacy, and data protection. Drafts and negotiates customer, vendor, licensing, partnership, and data protection contracts. Supports product compliance, privacy-by-design, corporate initiatives, market expansion, and improvements to legal operations and internal processes.

Manage enterprise BFSI customer relationships throughout onboarding and post-sale adoption. Drive product value, retention, churn prevention, renewals, expansion, cross-selling, business reviews, and CXO-level engagement. Translate customer needs into product feedback and relevant use cases while coordinating with internal stakeholders. Ensure operational compliance and track churn, revenue, NPS, and customer satisfaction. Support API and webhook-based integrations and use CRM and customer success platforms to scale account management.

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, 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.

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.

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.