TL;DR

Software Engineering Manager (Data Platform): Leading and managing distributed engineering teams responsible for data ingestion, processing, and analytics platform development with an accent on technical leadership, team empowerment, and strategic technology decisions. Focus on managing cross-continental teams, technical discovery, project prioritization, and fostering a culture of accountability and mentorship.

Location: Remote (Global) with teams in Barcelona, London, Milan, and San Francisco

Company

%hirify_global% is an international online research data and analytics technology group providing unparalleled consumer insights to global brands through innovative data products and services.

What you will do

Manage and lead distributed teams across North America and Europe, coordinating work and resources.
Provide technical expertise, lead discovery and trade-off analysis, and set engineering standards.
Partner with product, sales, and customer success teams to define vision and translate requirements into technical designs.
Prioritize projects and developer capacity to meet company goals, managing dependencies and timelines.
Report development KPIs and drive performance reviews, hiring, onboarding, mentoring, and career development.

Requirements

At least 5 years as a software engineer and 4 years in project/team management in software organizations.
Proven track record of leading projects to completion with strong technical and product alignment.
Ability to contribute technically through experiments and proofs of concept despite reduced coding frequency.
Generalist mindset with knowledge across CI/CD, container orchestration, product management, and databases.
Strong ownership and accountability for teams and subsystems.
Excellent communication skills across technical and non-technical stakeholders.
Experience mentoring and positively impacting team members' careers.
Technical proficiency with Python, Flask/FastAPI, MongoDB, Apache Iceberg/Parquet, Kubernetes, AWS Glue/Athena, and CircleCI.

Nice to have

Good knowledge of data models and databases, familiarity with key literature like "7 Databases in 7 Weeks" or "Designing Data-Intensive Applications".

Culture & Benefits

Fully remote global team with a focus on autonomy and discipline.
Commitment to accuracy, ethics, and proven methodologies.
Supportive workplace valuing diversity, inclusion, and employee wellbeing.
Best-in-class benefits supporting physical, financial, and emotional health.