Sweden•Publicerad: 2 juli•Sista ansökan: 16 aug.
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, 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.
Sweden•Publicerad: 3 juli•Sista ansökan: 16 aug.
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 multi-disciplinary team of ML engineers, data scientists, 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, 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.
Sweden•Publicerad: 3 juli•Sista ansökan: 16 aug.
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 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.
