Engineering Manager, Data — Lead ML & Data Engineers at Scale

Truecaller; Stockholms län; Hybrid; SEK 1,100,000 - 1,500,000; Full time

Benefits offered by this job

Paid vacation 30 days

Private health insurance

Parental leave top-up

Pension

Wellness contributions

Office-first culture

Lab Days program

Job summary

Truecaller is seeking an Engineering Manager, Data to lead a multidisciplinary team of ML engineers, data scientists, and data engineers. You will guide the technical direction across an applied ML stack, drive production-ready systems, and manage the team’s growth and performance.

You will partner with product, data science, and other engineering teams to translate business goals into a clear roadmap, and you will foster collaboration while delivering scalable, reliable solutions at the core of

Qualifications

• Proven experience leading ML or engineering teams and managing projects at scale.
• Applied ML in production including retrieval/ranking, experimentation, and model serving.
• Strong backend/data engineering awareness to reason about full stack ownership.

Responsibilities

• Lead ML engineers, data scientists, and data engineers; invest in team development.
• Set technical direction for the ML stack and real-time data platforms.
• Own planning, prioritization, and delivery with a balance of short-term product needs and long-term health.
• Collaborate with product and data science teams to translate business goals into a technical roadmap.
• Promote reusable, config-driven platforms and end-to-end evaluation frameworks.

Skills

Proven experience leading ML teams

Strong leadership and communication

Experience delivering complex projects

Applied ML in production

Collaborative cross-functional work

Tools

Spark

Kafka

Airflow

Feature stores

Model serving

Job description

Truecaller is seeking an Engineering Manager, Data to lead a multidisciplinary team of ML engineers, data scientists, and data engineers. You will guide the technical direction across an applied ML stack, drive production-ready systems, and manage the team’s growth and performance.

You will partner with product, data science, and other engineering teams to translate business goals into a clear roadmap, and you will foster collaboration while delivering scalable, reliable solutions at the core of