Engineering Manager - Data

About the role

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.

Responsibilities

• 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.
• Prioritize and deliver, 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.

Requirements

• 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.
• A 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.

Qualifications

• 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.

Skills

• Leadership and communication skills.
• Technical expertise in ML, data science, and backend engineering.
• Ability to balance technical excellence with team growth and project timelines.
• Experience in setting and communicating technical direction.

Benefits

• Comprehensive compensation package including 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.
• A people-focused office culture with flexible work arrangements and opportunities for professional growth.
• Truecaller's "Lab Days" offering a space for innovation and creativity.

Pay

Competitive salary based on experience and qualifications.

Schedule

Full-time, Monday to Friday, standard workweek.

Equal Opportunity Employer

We are committed to building a diverse and inclusive team and encourage applications from all qualified individuals.

Application Instructions

Please submit your application in English as soon as possible.