Description review
Engineering Manager [AI Business Features]
Banco Plata, S.A., Institución de Banca Múltiple · Cyprus, Georgia, Serbia, Spain · back to the listing
HR standards
47/100
poor
Title ↔ description
89/100
strong
Reads as
Engineering Manager
100% confident
What this role officially is
software manager — ESCO, the EU occupation classification
Software managers oversee the acquisition and development of software systems in order to provide support to all organisational units. They also monitor the results and quality of the different software solutions and projects implemented in the organisation.
Also known as: applications manager, software managers, ICT applications manager, software applications manager, soft manager
How others title the same work
Large employers
- Golang Engineering Manager, Commercial Systems Canonical
- Python Engineering Manager, Commercial Systems Canonical
- Site Reliability Engineering Manager Canonical
- Software Engineering Manager - Ubuntu Linux Kernel Canonical
- Cloud Engineering Manager Canonical Ltd.
Startups
- Engineering Manager | Remote (North America) | $180k-$230k Engineering Manager
- AREO | Remote (EU) / on-site in Bremen, Germany | Full-Time | Equity | Roles: [Engineering Manager (Ruby on AREO
- AREO | Remote (EU) | Full-Time | Equity | Roles: [Engineering Manager (Ruby on Rails), Lead Product Engineer (Ruby on Rails)] AREO
- Ashby | YC 19 | REMOTE | Hiring Engineering Leaders | $200k–$275k Ashby
- Ashby | YC 19 | REMOTE | Hiring Engineering Manager (Americas) | $200k–$275k Ashby
What the listing never says
- 24 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
•
HealthcareCoverage
•
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
Originally posted on Himalayas
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
•
HealthcareCoverage
•
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
Originally posted on Himalayas