Top Tech Jobs & Startup Jobs

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.

Own the iOS app roadmap across caller ID, spam blocking, subscriptions, onboarding, family protection, and Travel eSIM. Lead experimentation, prioritize engineering work, analyze data, gather customer insights, and collaborate with engineering, design, and analytics. Prototype with AI tools and complete small development tasks while communicating decisions clearly to stakeholders.

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.