
Truecaller · Sweden
Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more effici...
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
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.
investing deliberately in each person's development and career path.
conversion modeling - along with the real-time serving and data platforms that support them.
platform health.
advertiser outcomes - into a clear technical roadmap.
impact.
users.
grows.
backend engineers.
ML-heavy domain.
the people who are.
enough to reason about the full stack your team owns.
goals.
systems.
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
parental leave top-up, pension, and wellness contributions.
efficiently.
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.
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.
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.
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 450 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 450+ 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, Data, you will lead a multidisciplinary team of ML engineers, data scientists, and data engineers driving some of Truecaller's most strategic initiatives. Your team will be responsible for advancing the trust graph, compounding intelligence, communication experiences, fraud detection, federated learning, calling, search, and the AI Assistant, technologies that sit at the core of Truecaller's strategy. This role combines deep technical leadership with people management: you will define the technical direction across an applied ML stack, foster the growth and well-being of a highly specialized team, and transform a research-driven roadmap into reliable, production-ready systems. What you'll do: * Lead, grow, and retain a high-performing team of ML engineers, data scientists, and data engineers, investing deliberately in each person's development and career path. * Set technical direction for the core intelligence behind Truecaller’s calling and search intelligence, along with the real-time serving and data platforms that support them. * Own team planning, prioritization, and delivery, balancing near-term product commitments against long-term platform health. * Partner closely with product, data science, and other engineering teams to translate business goals 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, Data Scientists and 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. * 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.
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 450 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 450+ 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.
WHAT YOU’LL DO * Build, mentor, and lead an elite data science team as a trusted, empathetic player-coach, while clearly communicating complex technical ideas to executives, customers, and partners * Personally design, train, deploy, and own the models that power Peec AI’s AI Search recommendations, taking hands-on responsibility for our most business-critical ML systems * Develop and ship novel algorithms that reverse-engineer AI search and LLM behavior, turning deep technical insight into durable, customer-facing product advantages * Own the full ML lifecycle end-to-end — from first-principles research and rigorous experimentation to production deployment, monitoring, and continuous improvement * Architect and evolve scalable data and ML systems, making high-leverage decisions across data pipelines, modeling approaches, evaluation frameworks, and model serving * Write and review production-grade code at an exceptional standard, setting the technical bar for the entire organization WHAT WE’RE LOOKING FOR * 8+ years of professional data science experience, with at least 3+ years in a leadership or managerial role at a top-tier high growth startup, or FAANG level tech company (e.g., Tech Lead, EM, SDM) * A world-class data science leader with a rare combination of deep technical mastery and proven leadership, who has built and shipped category-defining ML products in high-growth or frontier environments * A demonstrable history of personally owning and scaling complex ML systems from raw research ideas to reliable, high-impact production deployments * Exceptional command of Python and applied machine learning, with strong systems-level instincts spanning APIs, data pipelines, ML infrastructure, and production reliability * A deep, first-principles understanding of LLMs and AI search systems, including the ability to rigorously evaluate, reverse-engineer, and reason about emergent model behavior * Experience making consequential architectural and modeling decisions in cloud-native environments (preferably GCP), using tools like FastAPI, Docker, and modern data platforms * Outstanding judgment, communication, and problem-solving ability, with the credibility to set direction, earn trust, and lead through extreme ambiguity OUR DATA SCIENCE STACK * Languages: Python, SQL * Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX * Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery * AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, and others BONUS POINTS * Widely recognized contributions to open-source projects or foundational ML tooling * Publicly visible side or research projects demonstrating exceptional technical depth * Publications or talks at top-tier ML or AI conferences * Founder experience or senior technical leadership in high-growth startups * Fluency in TypeScript WHAT WE OFFER * A defining leadership role with with real impact and ownership at one of Europe’s fastest-growing Series A startups * Regular team events and off-sites * Aggressive equity compensation package * Paid Dinner & Uber home when working late * The most beautiful office space and work environment in Berlin