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Truecaller

Global caller ID and spam protection

Engineering Manager - Data

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSwedenNo salary listed

About the Job

Requirements

  • Proven experience leading or managing engineering or machine-learning teams, ideally in recommendations, ranking, advertising, search, or a similarly machine-learning-heavy domain.
  • A solid grasp of applied machine learning in production, including retrieval and ranking, experimentation, model serving, and the data that feeds them, sufficient to engage credibly on technical trade-offs.
  • Working knowledge of backend and data-engineering practices, including architecture, real-time systems, pipelines, and warehousing.
  • 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.

Responsibilities

  • Lead, grow, and retain a high-performing team of machine-learning engineers, data scientists, and data engineers, investing in each person's development and career path.
  • Set technical direction for the intelligence behind Truecaller's calling and search intelligence, and for 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 with product, data science, and other engineering teams to translate business goals into a clear technical roadmap.
  • Promote reusable, configuration-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 are shipped based 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 one-to-one meetings, performance reviews, and career-development conversations, and recruit and onboard new talent as the team grows.
  • Stay sufficiently close to technical details to make informed decisions, unblock the team, and establish credibility with senior machine-learning, data-science, and engineering specialists.
  • Work closely with cross-functional stakeholders.

Desired Qualifications

  • A hands-on background in machine-learning engineering, data science, or backend development before moving into management.
  • Familiarity with large-scale data and machine-learning platforms, including Spark, Kafka, Airflow, feature stores, and model serving.
  • Familiarity with cloud infrastructure; Google Cloud Platform is preferred, and Amazon Web Services or Microsoft Azure are also acceptable.
  • Experience scaling teams in a high-growth technology environment.

About the Company

Truecaller

Global caller ID and spam protection

Truecaller helps users identify who is calling and block unwanted calls on both mobile and landline phones. It uses a crowd-sourced directory and real-time call data to reveal unknown numbers, flag spam, and block suspicious calls; premium features include an ad-free experience, enhanced blocking, and the ability to see who viewed the user’s profile, with advertising generating revenue. It stands out through its global user network and freemium model that covers both mobile and landline contexts for individuals, businesses, and authorities. Its goal is to make phone communications safer and more reliable by helping people identify callers, prevent scams, and reduce fraud.

Company size
501-1,000
Company stage
IPO
Headquarters
Stockholms kommun, Sweden
Founded
2009

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