Engineering Manager [AI Business Features]
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 1d 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 20d ago
The date the source published, not the day we noticed it (2026-08-25). 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 $110.6k–163.4k/yr
Middle 50% of 26 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 11d ago · last seen just now
The listing
We are looking for a hands-on Engineering Manager for AI Business Features - the team that turns business and product hypotheses into production AI features. You will lead a cross-functional engineering team, own delivery end to end, and work directly with Product, Data, and AI on scope and prioritization. The role requires enough technical depth to review architecture and challenge design decisions yourself, not through a proxy.
The team works in short cycles: hypotheses go to production, get measured, and are then scaled or dropped. Expect a broad portfolio of initiatives rather than one long-running product.
Challenges that await you:
- Lead the team across hiring, planning, task decomposition, process improvements, and cross-team collaboration
- Own and drive the development of an AI-powered products from concept to production
- Ensure strong team performance and reliable, on-time delivery aligned with product and business goals
- Partner closely with Product, Data, and AI teams to build impactful, user-centric solutions
- Tackle complex technical and product challenges while maintaining high engineering quality standards
- Shape the architecture, design, and implementation of scalable backend services and integrations
What makes you a great fit:
- Experience leading engineering teams (hiring, development, performance, and delivery management)
- Proven experience leading teams in AI, ML, or data-driven engineering environments; experience training models is a plus
- Strong technical background with hands-on development experience and the ability to validate technical decisions independently
- Experience building AI-powered, user-facing products (e.g., assistants, recommendations, or intelligent features) from concept to production, including running A/B tests
- Ability to translate ambiguous business and product requirements into clear technical solutions and priorities
- Strong cross-team communication skills and ability to collaborate with Product, Data, AI, 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, Serbia, 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: 20 days of annual leave and paid sick leave