Engineering Manager [AI Business Features]

platacard; United States; Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Relocation support

Flexible work from offices or remote

Healthcare coverage

Education budget

Wellness budget

Vacation policy

Job summary

platacard is seeking an Engineering Manager for AI Business Features. You will lead a cross-functional team, own delivery end-to-end, and collaborate directly with Product, Data, and AI teams to scope and prioritize impactful AI-powered features.

The role requires hands-on technical depth to review architecture and drive decisions, with a focus on production-ready solutions and scalable backend services.

Qualifications

• Must have experience leading engineering teams and delivering complex projects.
• Proven experience leading AI/ML or data-driven engineering initiatives; models a plus.
• Ability to translate ambiguous business and product requirements into clear technical solutions.

Responsibilities

• Lead a cross-functional engineering team across Product, Data and AI.
• Own delivery end-to-end for AI-powered features from concept to production.
• Review architecture and challenge design decisions with hands-on involvement.
• Ensure on-time delivery aligned with product and business goals.

Skills

Engineering leadership

AI/ML driven engineering

Hands-on development

Architectures & design

Cross-functional collaboration

Hiring & team development

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: 20 days of annual leave and paid sick leave