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Transifex

Director of Engineering

Reposted 14 Days Ago
Be an Early Applicant
In-Office or Remote
3 Locations
Senior level
In-Office or Remote
3 Locations
Senior level
Lead engineering teams, define strategy, and deliver scalable systems while collaborating across departments and mentoring future leaders.
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Description

Transifex is part of the portfolio of companies of XTM.

Transifex by XTM, a Greek-born company, internationally recognized by today's tech leaders as a leading agile localization and translation management platform and recently acquired by XTM, is seeking a Director of Engineering with a strong technical background to lead one of our core product and technology areas . Our platform is empowered by AI, enabling seamless and efficient localization processes. Recognized as 'Best Workplace for Women Hellas',a 'Best Workplace' and 'Best in Tech' in Greece for 2023 and 2024, join us in shaping the future of localization technology.

While considering this position, take into account what we value here at XTM. We come from diverse backgrounds and experiences, but we share one thing in common: We thrive by working together everyday. We are looking for candidates who reflect our values below which are vital for the culture and the life at Transifex by XTM.

The Role

This role's open to a EU remote locations.

We are looking for an experienced Director of Engineering to lead one of our core product and technology areas. This is a key leadership role, ideal for someone with strong technical expertise, a proven track record of building high-performing teams, and a focus on delivering meaningful results. You’ll help us scale effectively while staying agile enough to respond to customer needs and shifting market dynamics.

Key Responsibilities

Leadership & Strategy

  • Lead multiple engineering teams with a clear vision, measurable objectives, and strong execution
  • Define and communicate engineering direction, investment priorities, and performance expectations
  • Represent engineering at the executive level and contribute to overall product and business strategy
  • Ensure technical decisions are aligned with business goals and commercial impact

Cross-Functional Collaboration

  • Work closely with Product, Sales, Support, and Marketing to deliver features that support growth
  • Balance short-term customer demands with long-term platform stability and technical health
  • Make informed decisions on when to build, buy, or defer capabilities
  • Take ownership of roadmap delivery, ensuring clear accountability and consistency
  • Collaborate with other Engineering Directors across the organisation

Technical Leadership

  • Oversee the design and implementation of scalable, reliable systems leveraging:
    • AWS services (especially Lambda)
    • Modern containerisation tools (Docker, Kubernetes)
    • Operational AI/ML (e.g., recommendation engines, scoring systems, translation intelligence)
    • AI use in development processes
  • Advocate for simplicity, security, and maintainability in system design
  • Establish and uphold high standards for architecture, technical direction, and design processes

Team Development

  • Manage and develop Engineering Managers and senior-level engineers
  • Build autonomous, empowered, and results-driven teams
  • Own team planning and hiring strategy within your area
  • Promote a culture of ownership, inclusion, quality, and continuous learning
  • Mentor and grow future engineering leaders

Organisational Impact

  • Create systems and processes that support long-term scaling
  • Measure and optimise engineering performance using actionable insights
  • Maintain strong communication channels between teams and leadership
  • Influence broader business decisions through thoughtful collaboration
Requirements

Required

  • 3+ years in senior engineering leadership roles, including managing managers
  • Hands-on experience with:
    • AWS (Lambda, ECS, S3, CloudWatch, etc.)
    • Docker, Kubernetes, and container orchestration
    • Live AI implementations and AI in software development
  • Demonstrated ability to lead across multiple products or business units
  • Strong commercial acumen with the ability to align technical execution to business value
  • Effective communicator with a track record of cross-functional collaboration

Preferred

  • Background in SaaS or localisation/internationalisation technology
  • Experience building developer platforms or tools
  • Knowledge of multilingual AI or NLP systems
Benefits

What You Can Expect
Beyond a competitive salary, we offer a range of benefits designed to support your life and career, including:

  • Flexible work arrangements, with options for remote and hybrid setups (location-dependent)
  • Professional development, with access to international opportunities and career advancement programs
  • Continuous learning, powered by top-tier tools, training resources, and industry expertise

Benefits may vary by location — your Talent Partner will provide full details during the hiring process.

Everyone Belongs at XTM
At XTM, we design experiences that reflect and include the full spectrum of people we serve — and that begins with our own team. We're dedicated to building a workplace where inclusion isn’t just a value, but a daily practice. Here, you’ll find the support and encouragement to grow, succeed, and truly belong — no matter your background. Explore our Diversity & Inclusion page to see how we’re shaping a more inclusive future at XTM.

The Application Journey
When you apply, our Talent Acquisition team will carefully review your application. If your experience aligns with the role, we’ll be in touch to guide you through the next steps.

⚠️ Recruitment Alert: Please be aware of fraudulent recruitment activity. Only engage with XTM emails ending in @xtm-intl.com and xtm.cloud OR transifex.com.

We’re also committed to accessibility and inclusive hiring. If you need accommodations at any stage of the process, please indicate this in your application or speak directly with the Talent Partner.

Top Skills

AI
AWS
Docker
Kubernetes
Machine Learning
Natural Language Processing

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