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Tabby

Engineering Manager

Tabby is hiring an Engineering Manager for a remote role open to applicants in Serbia. Level rates it ; you can apply on Tabby.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • This is listed as a remote role.
  • Level classes it as a senior role.
  • Tabby has 43 other open roles on Level.
  • Posted in the last few days.

AI in this role

Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money.

The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.

Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.

Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion.

We’re looking for an Engineering Manager to lead Tabby Card Activation team. You’ll combine strong technical expertise with people leadership, acting as a playing coach who stays hands-on with the codebase while driving architectural decisions, engineering excellence and team development. Working closely with Product and other cross-functional teams, you’ll help build scalable solutions that support Tabby Card’s growth, monetization and customer experience.

What you’ll bring:

  • 5+ years of backend engineering experience, ideally including 2+ years of Golang (not a must).
  • 2+ years of experience as an Engineering Manager, preferably at a fast-growing fintech or e-commerce company.
  • Experience building scalable, distributed systems and working with high-load architectures.
  • Solid understanding of backend tools and technologies, we use PostgreSQL, Redis, Kubernetes, Google Cloud Platform, GitLab, and a microservices architecture.
  • Experience integrating third-party APIs and contributing to product development.
  • A passion for writing clean, testable, and maintainable code.
  • A proactive mindset and the ability to work independently.
  • Strong communication skills in English.

Responsibilities:

  • Lead large cross-team projects and drive them to production.
  • Stay hands-on as a playing coach: write code, participate in architectural discussions, and contribute to key technical decisions.
  • Review feature designs and ensure non-functional requirements are met.
  • Oversee technical debt management and incident handling.
  • Drive the effective adoption of AI tools and practices across the SDLC and team processes to improve engineering productivity.
  • Contribute to quarterly planning and roadmap definition.
  • Hire, evaluate, mentor, and motivate team members.
  • Build cross-team and cross-functional collaboration to increase efficiency.
  • Foster a results- and business-oriented culture.
  • Monitor key team performance indicators.
  • Ensure process and delivery transparency for stakeholders and partner functions.
  • Optimize processes to improve productivity.

How we rate this

Engineering Manager at Tabby rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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