Engineering Manager [AI Business Features] at Plata Card

Job description

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: Annual leave and paid sick leave as per applicable policies

Requirements

Must-haves

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.
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
Experience leading engineering teams (hiring, development, performance, and delivery management)
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
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

Nice-to-haves

Proven experience leading teams in AI, ML, or data-driven engineering environments; experience training models is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigoml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

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