Engineering Manager - Recommendations

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.

• 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.

• 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 cloud infrastructure (GCP preferred; AWS or Azure also fine).
• Experience scaling teams in a

high-growth tech environment.

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.

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.​