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Careers at Truecaller

Browse and filter through all verified positions currently open at Truecaller.

Total Company Roles19
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truecaller.comHQ: Stockholm, Sweden

People use Truecaller to stay ahead. It helps them know who's getting in touch, filter out unwanted calls & SMS, and focus on what really matters. The company provides a suite of unique services such as a dialer that offers caller ID, spam detection, messaging and more. Truecaller's mission is to build trust everywhere by making communication safe and efficient. Headquartered in Stockholm, Sweden, the company was founded in 2009 by Alan Mamedi and Nami Zarringhalam. Investors include Sequoia Capital, Atomico and Kleiner Perkins Caufield Byers. For more information visit www.truecaller.com

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All Openings (19)

Ordered by most recently published

Senior Software Engineer, Backend

On-sitefull timeSeniorBengaluru, India
Apply Now

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Software Engineer, Backend you will be a pivotal contributor in shaping Truecaller's technology, driving demonstrable improvements to the user experience and business profitability. Your typical day or week will be filled with a blend of technical challenges, collaboration, and innovation. What you’ll do: Coding & Development : A significant portion of your day will involve hands-on coding, building scalable backend services, APIs, and microservices that power Truecaller’s Ads platform. You’ll focus on high-availability, low-latency systems using modern tech stacks. Code Reviews : Review code written by peers to maintain high-quality standards, share best practices, and continuously improve the codebase. Problem Solving : Troubleshoot complex technical issues, optimize existing systems for better performance, and ensure high system reliability. Collaborating with Cross-Functional Teams : Work closely with product managers, front-end developers, data scientists, and other stakeholders to ensure the features you build align with business needs and provide a seamless user experience. Design & Architecture Discussions : You’ll contribute to architectural decisions, ensuring that systems are designed to scale and meet the future needs of Truecaller Ads. Team Collaboration & Mentorship : Provide mentorship to junior engineers, assist in resolving complex technical issues, and share knowledge across the team through informal or formal knowledge-sharing sessions. Delivering Features : You’ll contribute to feature development, deploy code into production, and ensure smooth integration with the rest of the platform. Sprint Planning & Backlog Grooming : You will participate in sprint planning sessions(bi-weekly) where you’ll break down tasks, prioritize work, and ensure alignment with the overall product roadmap. What you bring in: 5-9 years of experience as BE developer in a start-up or product based environment. Excellent knowledge of any modern programming (GO, Java, C#, Scala) language. Good understanding of Data structures and Algorithms. Experience of designing and architecting large scale distributed systems. Experience in consumer-facing companies with a solid understanding of system scaling and user-centric product development is a plus. Experience leveraging AI-powered development tools (such as GitHub Copilot, Gemini, Chatgpt, Claude or similar) to enhance coding productivity and efficiency. Familiarity with applying AI-driven insights to optimize backend system performance and workflows. It would be great if you also have: Experience with microservices architecture and design patterns and solid design principles. Hands-on experience in building large scale platforms & services using Go, Scala, Play, Redis, Aerospike, Kafka & Nosql stores. Experience with GCP or any other public cloud. What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: A comprehensive compensation package: Learning and development allowance, voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option provided, creche allowance Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. Truecaller’s “Lab Days” offer a space for imagination: 5 days each quarter, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

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Software EngineeringVia Greenhouse
Verified1 day ago

Director Of Engineering

On-sitefull timeExecutiveBengaluru, India
Apply Now

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As the Director of Engineering at Truecaller, you will be a pivotal leader, driving technical excellence and ensuring the successful delivery of our products and services within your designated department. Acting as a strategic partner to the Product to co-create the TfB roadmap, ensuring we balance rapid feature innovation with technical sustainability.This role demands a unique blend of technical prowess, strategic vision, and leadership acumen. You will be responsible for shaping the technical landscape of Truecaller's operations, influencing product development, engineering practices, and overall technological innovation. What you’ll do: Technical Leadership: You will be the primary technical authority for the department, setting the technical direction and providing guidance to engineering teams. Shift the engineering focus from 'shipping features' to 'driving business outcomes,' partnering with Product Managers to define and track KPIs for the Department. Foster a culture of innovation, encouraging engineers to explore new ideas and technologies to enhance Truecaller's offerings and maintain our competitive advantage. Stay abreast of the latest technological advancements, actively identifying and evaluating emerging trends that could impact our business. Collaborate closely with product management, design, and other cross-functional teams to ensure alignment between technical solutions and business objectives. Engineering Management : You will oversee the entire engineering lifecycle within your department, from project inception and resource allocation to development, testing, and deployment. Establish and maintain high standards for software development, ensuring code quality, maintainability, and scalability. Cultivate a collaborative and high-performing engineering culture, empowering teams to deliver their best work while promoting continuous learning and development. Implement effective performance management practices, providing regular feedback, coaching, and mentorship to engineers. Actively manage and develop engineering talent, identifying high-potential individuals, providing growth opportunities, and building a strong succession pipeline. Governance and Compliance : You will be a champion for compliance, ensuring adherence to all relevant technical standards, regulatory requirements, and company policies. Implement robust processes for risk management, data security, and privacy protection to safeguard Truecaller's sensitive information and user data. Work closely with legal, security, and other relevant stakeholders to proactively address compliance or governance concerns, ensuring Truecaller operates ethically and responsibly. What you bring in: A seasoned engineering leader with a proven track record of technical excellence and successful team management. Experience in a product-led growth environment, with a track record of influencing product strategy through technical feasibility and innovation. ​​Proven experience working in a high-growth product-led environment, with a track record of building strong, collaborative relationships with Product Management and other stakeholders. Deep understanding of software development principles, architectures, and best practices across various technology stacks. Strong experience in leading and managing large-scale engineering projects, demonstrating the ability to deliver complex solutions on time and within budget. Demonstrated expertise in governance, risk management, and compliance within a technology context. Exceptional communication and interpersonal skills, capable of building strong relationships with organizational stakeholders. Ability to inspire and motivate teams, fostering a culture of collaboration, innovation, and continuous improvement. Strategic thinker with strong business acumen, capable of aligning technical initiatives with broader company goals. Adaptable and resilient, able to thrive in a fast-paced, dynamic environment and navigate complex challenges. It would be great if you also have: Experience managing infrastructure on Google Cloud Platform(GCP). Experience deploying and scaling Apache Cassandra, ScyllaDB, MySQL, Postgresql, Redis or Memcached. Experience developing Kubernetes operators. Go programming language experience or willingness to learn coding in Go(it'll help us build new k8s operators and improve the existing ones). What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: A comprehensive compensation package: Learning and development allowance, voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option provided, creche allowance Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. Truecaller’s “Lab Days” offer a space for imagination: 5 days each quarter, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English .

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Engineering ManagementVia Greenhouse
Verified9 days ago

Engineering Manager - Recommendations

On-sitefull timeMid-LevelSweden
Apply Now

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. As an Engineering Manager, you will lead the team behind Truecaller's Recommendations and adVantage, our AI-powered performance advertising platform. It is a multi-disciplinary team of ML engineers, data scientists, backend engineers, and data engineers building the retrieval, ranking, and contextual-bandit systems, and the real-time serving and data infrastructure beneath them, that decides what Truecaller recommends and shows to hundreds of millions of users. The role sits at the intersection of technical depth and people leadership: you will set direction across an applied-ML stack, keep a highly specialized team healthy and growing, and turn a research-heavy roadmap into shipped, reliable systems. What you'll do: Lead, grow, and retain a high-performing team of ML engineers, data scientists, backend engineers, and data engineers, investing deliberately in each person's development and career path. Set technical direction across the recommendation and advertising ML stack - retrieval, ranking, contextual bandits, and conversion modeling - along with the real-time serving and data platforms that support them. Own team planning, prioritization, and delivery, balancing near-term product and campaign commitments against long-term platform health. Partner closely with product, data science, and other engineering teams to translate business goals - revenue, engagement, advertiser outcomes - into a clear technical roadmap. Push for reuse: config-driven, composable platforms and closed feedback loops rather than one-off models and pipelines. Drive rigor in experimentation and evaluation, from offline metrics to online A/B tests, so model changes ship on measured impact. Keep production systems reliable at scale, owning the latency, quality, and cost of models serving hundreds of millions of users. Run regular 1:1s, performance reviews, and career development conversations, and recruit and onboard new talent as the team grows. Stay close enough to the technical detail to make informed calls, unblock your team, and earn credibility with senior ML and backend engineers. What you bring in: Proven experience leading or managing engineering or ML teams, ideally in recommendations, ranking, ads, search, or a similarly ML-heavy domain. A solid grasp of applied ML in production - retrieval and ranking, experimentation, model serving, and the data that feeds them - enough to engage credibly on technical trade-offs. You do not need to be the strongest modeler in the room; you need to lead the people who are. Working knowledge of backend and data engineering practices - architecture, real-time systems, pipelines, and warehousing - enough to reason about the full stack your team owns. Strong leadership and communication skills, with the ability to align specialists with different skill sets toward shared goals. A track record of delivering complex technical projects on time and at scale. Comfort operating in ambiguity and making pragmatic trade-offs between speed and quality. A collaborative mindset and the ability to work closely with cross-functional stakeholders. It would be great if you also have: A hands-on background in ML engineering, data science, or backend development before moving into management. Experience with recommender systems, contextual bandits or reinforcement learning, or performance advertising and ad-serving systems. Familiarity with large-scale data and ML platforms (Spark, Kafka, Airflow, feature stores, model serving). Familiarity with cloud infrastructure (GCP preferred; AWS or Azure also fine). Experience scaling teams in a high-growth tech environment. What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

View more...
Engineering ManagementVia Greenhouse
Verified12 days ago

Senior Cloud Security Engineer

On-sitefull timeSeniorSweden
Apply Now

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Cloud Security Engineer, you will act as a technical leader in safeguarding our core cloud infrastructure. You will take ownership of maintaining the highest standards of security controls for our critical systems within Google Cloud Platform (GCP). We're looking for someone who thrives in complex environments, can solve infrastructure security problems where no established patterns exist, and isn't afraid to get their hands dirty . You won't just advise; you will actively build, configure, and fix security controls. You'll leverage your expert understanding of cloud services, infrastructure-as-code, and container security to architect robust security measures and drive systemic improvements across the organization. What you’ll do: Architect and Lead GCP Security: Take end-to-end ownership of designing and implementing security architectures for our GCP infrastructure. You will look beyond immediate fixes to architect long-term, scalable solutions for networking, compute, storage, and GKE. Hands-on Remediation & Engineering: You don't just identify risks; you fix them. You will actively write code, create Pull Requests, and apply configurations to resolve security issues, harden infrastructure, and deploy tooling (e.g., EDR, Identity proxies) in production environments. Drive Systemic Risk Reduction: Identify repeating classes of vulnerabilities or systemic risks (e.g., data exfiltration paths) and drive organizational change to eliminate them, rather than just patching individual issues. Manage GCP Security Posture: Utilize GCP-native tools (e.g., Security Command Center, Cloud Armor, VPC Service Controls, IAM) to continuously monitor, assess, and improve the security posture of our cloud environment. Advanced Network & Container Security: Design complex network security controls and Kubernetes (GKE) hardening strategies, balancing strict security requirements with operational velocity. Mentorship and Technical Sparring: Act as a technical mentor and sparring partner to other engineers. You will elevate engineering standards by guiding colleagues on advanced security concepts and architecture. Automate Security Operations: Develop advanced automation (using Python, Go, No/Low Code) to eliminate toil, turning manual security reviews into automated policy-as-code checks and high-fidelity alerts. What you bring in: Technical Experience: Several years of hands-on experience in a senior security engineering role. You have a track record of leading technical designs and influencing decisions across multiple squads. Security Passion & Threat Awareness: You are passionate about security and stay constantly updated on the evolving threat landscape, emerging vulnerabilities, and attack vectors, translating this knowledge into proactive defense strategies. Navigating Ambiguity: You excel at breaking down complex, multi-faceted technical problems into actionable components. You are comfortable defining security standards for experimental technologies where internal patterns may not yet exist. Project Ownership & Grit: Demonstrated ability to drive mid-to-large scale projects from idea to implementation independently, including successful stakeholder alignment and management of external dependencies. Operational "Doer" Mindset: You are a practitioner who enjoys the craft of engineering. You have recent, deep experience directly configuring infrastructure, writing production-grade code, and debugging complex systems. Once an issue has been identified you have the experience applying the fix either yourself or through collaboration with stakeholders. Business-Aligned Risk Assessment: Experience weighing risk vs. speed, and making technical decisions that balance short-term delivery with long-term maintainability and business value. Deep GCP Expertise: Expert-level knowledge of securing cloud infrastructure, with the ability to architect tool-agnostic solutions and evaluate trade-offs in GCP services (GCE, GKE, VPC, IAM, SCC). Communication: Strong ability to communicate technical security concepts to non-technical stakeholders, clearly articulating business impact (e.g., financial loss, brand reputation) to secure buy-in. What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

View more...
CybersecurityVia Greenhouse
Verified12 days ago

Senior Data Engineer

On-sitefull timeSeniorStockholm, Sweden
Apply Now

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Data Engineer, you will design and build scalable data pipelines and data infrastructure that power Smart SMS features, including SMS categorization, fraud detection, spam intelligence, and AI-driven capabilities. You will work closely with Data Scientists, Data Analysts, and Product teams to develop robust data platforms, enable feature engineering for ML models, and deliver reliable datasets that drive product insights and decision-making for over a million daily users. What you'll do: Maintain and improve the ingestion pipeline to reliably deliver billions of events daily within defined SLAs Provide support for all teams in building and optimizing their complex pipelines Work closely with other teams to identify pain points and problems around the platform Develop new tools and frameworks to improve the data platform Facilitate a company-wide, data-driven culture Work in close collaboration with data scientists and data analysts to help support their work going into production Work on large-scale projects such as building an ML platform and streaming use cases Set up best practices and processes around software and data development What you bring in: Experience working with an orchestration tool (e.g., Airflow) Experience working with large data sets Experience building complex ETL pipelines Experience working with cloud providers such as GCP Strong programming skills in Spark with Scala and Python Experience working with CI/CD tools like Jenkins and Git Strong understanding of software engineering practices and principles Excellent problem-solving and communication skills Self-motivated with a proven ability to take initiative to own and solve problems as they come up It would be great if you also have: Experience working with messaging systems like Kafka Knowledge of Kubernetes Hands-on experience with any streaming platform Experience managing a data warehouse in BigQuery or Redshift What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

View more...
Data Engineering & BIVia Greenhouse
Verified12 days ago

Senior Data Engineer - Recommendations

On-sitefull timeSeniorStockholm, Sweden
Apply Now

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Data Engineer on our Recommendations and adVantage teams, you will build and own the data foundation behind Truecaller's recommendation and advertising ML systems. That means the feature pipelines, streaming event ingestion, training datasets, and real-time feature serving that power the retrieval, ranking, and contextual-bandit models deciding what hundreds of millions of users see. This is a hands-on platform role at the point where large-scale data engineering meets production machine learning. What you'll do: Build and own the feature and training-data pipelines behind our retrieval, ranking, and contextual-bandit models, taking raw events all the way to model-ready features. Design streaming pipelines that close the loop between serving and learning, capturing impressions, clicks, and conversions in near real time so models retrain on fresh signal. Stand up and maintain a real-time feature store so features stay consistent between offline training and low-latency online inference. Own the ad-event and attribution data backbone: clean, reconciled pipelines for delivery, billing, and third-party attribution partners. Partner directly with data scientists to move models from notebook to production, owning the data contracts, freshness SLAs, and lineage they depend on. Build reusable, config-driven frameworks so new models and campaigns onboard without bespoke pipeline work each time. Keep the platform reliable at scale: billions of events daily within defined SLAs, backed by monitoring, data-quality checks, and dependable backfills. Set best practices and processes around pipeline design, testing, and data modeling across the team. What you bring in: Strong programming skills in Python and Spark, with a track record of building complex, large-scale ETL/ELT pipelines. Hands-on experience with an orchestration tool such as Airflow, feeding ML or analytics workloads in production. Experience working with large datasets on a major cloud provider (GCP preferred; AWS or Azure also fine). Solid software engineering fundamentals: testing, CI/CD with Git and Jenkins or similar, and code you would be happy to maintain. Comfort working shoulder to shoulder with data scientists and ML engineers, and a clear understanding of what production ML needs from data - features, freshness, consistency, and lineage. Excellent problem-solving and communication skills, and the self-motivation to own problems end to end. It would be great if you also have: Experience with streaming systems such as Kafka, Flink, or Spark Structured Streaming. Experience with a feature store (Feast, Vertex AI, Tecton, or in-house). Exposure to recommendation, ranking, or ads from ML systems and the data they rely on. Knowledge of Kubernetes. Experience managing a data warehouse in BigQuery (preferred) or Redshift. What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

View more...
Data Engineering & BIVia Greenhouse
Verified12 days ago

Senior Engineering Manager, Data Science

On-sitefull timeLead / StaffBengaluru, India
Apply Now

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Engineering Manager – Data Science for Truecaller for Business(TfB), you will lead a high-performing team of Data Scientists and Data Analysts driving intelligence, safety, and operational clarity for our enterprise ecosystem. You will sit at the intersection of technical excellence, risk monitoring, and strategic product execution—architecting intelligence engines, shaping risk-mitigation roadmaps, and mentoring top-tier talent. You will be responsible for combining your advanced data science skills with leadership abilities to guide the Data team in solving complex business problems and building data-driven solutions for our enterprise customers. You will partner with leadership on long-term planning and development of the team at large. What you’ll do: Own the overarching Data Science strategy and technical roadmap for Truecaller for Business (TfB). Translate business vision into executable data initiatives, define core KPIs, and drive continuous delivery via agile sprint cycles. Lead the hands-on architecture, scaling, and production deployment of ML models to drive core business outcomes. Serve as the strategic liaison between Data Science, Product, Platform Engineering, and Leadership to shape product scope, features, and risk policies. Direct, mentor, and grow a team of Data Scientists and Analysts—fostering an inclusive, high-trust culture with clear career paths. Take full accountability for model accuracy, system uptime, and measurable business impact across all products owned by your team. Drive standards for model governance, automated monitoring, unit testing, data privacy compliance, and modern ML/data stack adoption What you bring in: Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative field. 12+ years of total experience in Data Science/Machine Learning, with at least 2 years in engineering management capacity. Mastery of Python, SQL, and the modern ML ecosystem (scikit-learn, TensorFlow/PyTorch, pandas). Deep experience querying very large datasets efficiently (BigQuery, Spark, or similar cloud infrastructure). Prior experience working with high-volume data, real-time fraud mitigation, network intelligence, or B2B business analytics is highly desirable. Solid understanding of MLOps pipelines, containerization (Docker/Kubernetes), and the engineering overhead required to scale real-time predictive models. Outstanding communication skills. You must possess the unique ability to explain complex statistical models to non-technical business partners and distill business needs into rigid technical constraints. It would be great if you also have: Prior experience in building Dial/Number intelligence, Risk scoring, telecommunications data, fraud mitigation, or pattern recognition systems. What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: A comprehensive compensation package: Learning and development allowance, voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option provided, creche allowance Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. Truecaller’s “Lab Days” offer a space for imagination: 5 days each quarter, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

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Engineering ManagementVia Greenhouse
Verified12 days ago

Senior ML Engineer

On-sitefull timeSeniorBengaluru, India
Apply Now

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior ML Engineer, you'll play a central role in building the data science behind the products — from framing new fraud, risk, and intelligence problems, to designing and deploying ML models at scale, to helping our enterprise customers and go-to-market teams understand and act on the insights we generate. What you’ll do: Design, build, and continuously improve the ML models that power our risk and intelligence products, and take ownership of new signals as they get scoped. Take a loosely defined business or customer problem and break it into a clear data problem, articulating value, impact, and complexity before proposing a solution. Build anomaly detection, fraud, and risk-modeling approaches — including network/graph-based methods — that keep our signals accurate and resistant to adversarial behaviour. Own model development, deployment, and monitoring end-to-end, partnering with ML/data engineers on scalability, reliability, cost, and dashboards/alerting. Design and run experiments (A/B tests, offline customer POCs) to validate new signals before they roll into production. Manage and analyse large, multi-country datasets, ensuring data integrity, consistency, and compliance throughout. Partner cross-functionally with Product, Engineering, Legal, and GTM/Sales to scope, prioritise, and ship data products on time, acting as a trusted advisor on what the data can and can't responsibly support. What you bring in: 5+ years of experience designing, building, and deploying ML models at scale, ideally including risk/fraud, propensity, or behavioural/network scoring use cases. Strong grounding in applied machine learning: classification, anomaly detection, propensity/scoring models, clustering, and time-series/drift monitoring. Exposure to graph-based analysis or graph ML (network embeddings, community detection, link prediction) is a plus. Hands-on experience taking models from research/experimentation into production — comfortable owning scalability, reliability, and monitoring, not just model accuracy. Working knowledge of NLP and LLM-based techniques (prompting, summarisation, fine-tuning) — useful for customer-facing AI insights and on-device text/SMS signal extraction. Proficiency in Python and the ML/data stack: Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch; comfortable with Hugging Face Transformers where relevant. Strong SQL skills and experience with large-scale data processing (BigQuery, Spark/PySpark, Hive/Kafka ecosystem). Familiarity with database modelling and data warehousing principles. Ability to design, run, and interpret experiments and statistical tests to validate model and business impact. Strong communication skills — able to explain model output and trade-offs to both engineering peers and non-technical enterprise stakeholders. Comfort operating with a strong privacy/compliance mindset — Truecaller's data products are built on abstracted, privacy-safe signals, and you'll need to reason carefully about what can and can't be derived or stored. It would be great if you also have: Experience with graph databases (e.g. Neo4j) or large-scale graph processing frameworks. Experience with ML lifecycle tools (Kubeflow, MLflow) and on-device/edge ML deployment. Familiarity with Google Cloud Platform (GCP) and BigQuery. Prior experience in fraud/risk scoring, credit/alternate-data, or contact-centre/dialer analytics domains. Experience working with data resellers, credit bureaus, or enterprise data partners on integrating and explaining model output. What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: A comprehensive compensation package: Learning and development allowance, voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option provided, creche allowance Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. Truecaller’s “Lab Days” offer a space for imagination: 5 days each quarter, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

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AI / ML & Data ScienceVia Greenhouse
Verified12 days ago

Senior ML Engineer

On-sitefull timeSeniorSweden
Apply Now

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior ML Engineer, you will be working hands-on to optimise the training and deployment of ML models to be quick and cost-efficient. You will also be at the forefront of putting our ML models on mobile devices to enhance data privacy and customer experience. To achieve this, you will need to collaborate with teams across Truecaller to establish best practices and tools for efficient ML model development and deployment, particularly on mobile platforms. You will be expected to help Truecaller reach and remain at the cutting edge of ML training and deployment, and to explore new frontiers such as federated learning. What you will do Understand the current and future needs of developers and the organisation, and create a roadmap with your manager for meeting those needs. Work with teams across Truecaller, enabling them to deploy models to production quickly and cost-effectively. Work hands-on with teams throughout Truecaller to optimise ML models for mobile devices. Be the go-to expert for developing models for mobile devices as well as deploying them. Staying up to date with the latest trends and technologies in ML Engineering, especially ML on mobile phones, and driving continuous innovation throughout Truecaller. What you bring in Degree in computer science or equivalent 5+ years of experience in machine learning engineering, with a focus on deploying ML models in production environments. A strong understanding and experience to optimise feature engineering, model training, and model deployment. Hands-on experience deploying ML models on mobile devices (e.g., TensorFlow Lite, Core ML, ONNX Runtime Mobile). Strong understanding of machine learning frameworks (TensorFlow, PyTorch, ONNX) and their deployment on mobile platforms. Understanding of both Android and iOS development and how that impacts ML model deployment and usage. Strong communication and collaboration skills, with the ability to work effectively across different teams and disciplines. A customer-focused mindset. Excellent communication skills in spoken and written English. What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

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AI / ML & Data ScienceVia Greenhouse
Verified12 days ago

Senior Site Reliability Engineer

On-sitefull timeSeniorBengaluru, India
Apply Now

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: You will design, manage and maintain infrastructure services over the course of their lifecycle. You will be responsible for building and improving the performance, reliability, availability, security, and evolution of the Truecaller infrastructure. What you’ll do: Building tooling to ease the provisioning and scaling of infrastructure resources. Continuously improve and scale infrastructure components to handle growth. Improve overall systems performance and investigate failures taking part actively in future improvements discussion. Ensure systems availability, reachability, and maintainability building the necessary instrumentation, tooling, and alarming systems in order to escalate abnormalities. Being influential in monitoring and capacity planning together with the application development teams and in alignment with the business goals. What you bring in: Extensive knowledge of system administration on Linux environments, preferably working on high throughput and low latency systems. Strong hands-on experience with GCP services (or transferable AWS/Azure skills) — networking, IAM, compute, storage, Kubernetes (GKE/EKS/AKS). Extensive knowledge of Docker and Kubernetes. Excellent understanding of distributed system design across process and site boundaries. Hands-on experience with service orchestration, management, deployment activities, configuration management and all necessary automation. Strong grasp of process isolation and containerization concepts, being able to apply them when necessary. Container orchestration: Deep understanding of Kubernetes — deploying, scaling, monitoring clusters. Monitoring & Observability: Experience with tools like Prometheus, Grafana, Stackdriver, Datadog, New Relic, etc. Incident management: Practical experience responding to incidents, performing root cause analysis, and improving system reliability. Security best practices: Knowledge of cloud security, secrets management, and compliance basics. Good understanding of software development lifecycle, versioning, building, testing, staging and deployment processes with a strong continuous delivery mindset. It would be great if you also have: Experience developing kubernetes operators. Experience deploying and scaling apache cassandra, scyllaDB, mysql, postgresql, redis or memcached. Go programming language experience or willingness to learn coding in Go(it'll help us build new k8s operators and improve the existing ones). What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: A comprehensive compensation package: Learning and development allowance, voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option provided, creche allowance Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. Truecaller’s “Lab Days” offer a space for imagination: 5 days each quarter, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English .

View more...
Cloud, DevOps & SREVia Greenhouse
Verified12 days ago

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