Engineering Manager [AI Platform]
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 3h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 7h ago
The date the source published, not the day we noticed it (2026-11-05). Last seen at its source just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Available worldwide
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $138.4k–217.5k/yr
Middle 50% of 28 listings that do state pay — Engineering · all levels · Worldwide · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Greenhouse employer's own board first seen 4h ago · last seen just now
The listing
We are seeking a hands-on Engineering Manager for AI Platform, the team that builds and supports internal AI platforms used across the company.
You will lead a cross-functional engineering team, own delivery end to end, and work closely with Product, Data, and AI teams on scope, priorities, and the platform roadmap. This is a hands-on role: beyond people management, you will take an active part in shaping the architecture and making technical decisions within the team.
Challenges that await you:
- Build and lead the team across hiring, planning, task decomposition, process improvements, and cross-team collaboration
- Own and drive the development of internal AI platforms from concept to production, and keep them reliable as adoption grows
- Turn recurring needs from product teams into reusable platform capabilities rather than one-off solutions
- Ensure strong team performance and reliable, on-time delivery aligned with company and business goals
- Partner closely with Product, Data, and AI teams, and with the internal teams who use the platforms, to understand their needs and drive adoption
- Make well-reasoned build-vs-adopt decisions, including evaluating, integrating, and extending open-source solutions
- Shape the architecture, design, and implementation of scalable backend services, APIs, and integrations
What makes you a great fit:
- Experience leading engineering teams, including hiring, people development, performance, and delivery management
- Proven experience leading teams in AI, ML, or data-driven engineering environments as well as training models on your own
- Strong technical background with hands-on development experience and the ability to validate technical decisions independently
- Experience taking AI-powered products or services from concept to production including measuring their impact through A/B tests or other metrics
- Ability to translate ambiguous business and product requirements into clear technical solutions and priorities
- Strong cross-team communication skills and the ability to collaborate with Product, Data and business stakeholders
- English proficiency at B1 level or higher for effective collaboration with an international team
Our ways of working:
- Innovative Spirit: A commitment to creativity and groundbreaking solutions
- Honest Feedback: valuing open, transparent communication
- Supportive Team: a strong, collaborative community
- Celebrating Achievements: recognizing our wins together
- High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances
Our benefits:
- Relocation support to one of our hubs — Cyprus, Spain or Georgia — with assistance for the employee and their family
- Flexible work from one of our offices or remote
- Healthcare Coverage
- Education Budget: Language lessons, professional training and certifications
- Wellness Budget: Mental health and fitness activity reimbursements
- Vacation Policy: Annual leave and paid sick leave as per applicable policies