Engineering Manager / Backend Lead (High-Growth AI Product Company, Impact-Driven Leadership Role)

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A fast-growing AI product company in Singapore is seeking an Engineering Manager to lead their backend engineering team. The role involves owning the technical direction of backend systems, driving product iterations, and leading key infrastructure initiatives. Ideal candidates should have over 8 years of backend engineering experience, proficiency in major backend languages, and strong leadership and communication skills. This position offers the opportunity to tackle real-world engineering challenges and work within a collaborative team environment.

Benefits

Globally deployed product

Open-minded team atmosphere

Challenging engineering problems

Qualifications

• 8+ years of backend engineering experience, with a focus on system design.
• Proficiency in a major backend programming language.
• Experience in cloud service management, preferably AWS.

Responsibilities

• Own technical direction of backend systems supporting AI products.
• Lead infrastructure initiatives and promote system scalability.
• Drive backend development for product iteration and localization.

Skills

Backend engineering expertise

Proficiency in Go, Python, C++, or Java

Experience in cloud environments (AWS)

Leadership and mentorship skills

Strong communication skills

Job description

My Client

My client is a fast-growing AI product company based in Singapore that’s opening a new headcount for an Engineering Manager. The role will lead a boutique, high-impact team, offering significant ownership and influence over core systems and future growth initiatives.

Job Responsibilities

• Own the technical direction and execution of backend systems supporting a consumer-facing AI product, with an emphasis on scalability, reliability, and data governance across regions.
• Lead key infrastructure initiatives, including data and system migration as services are consolidated and expanded within the Singapore region.
• Drive backend development for product iteration and localization, supporting both local and international markets as the user base continues to grow.
• Partner closely with product, data, and operations teams to translate evolving business needs into practical, well-architected backend solutions.
• Ensure production excellence by establishing strong monitoring, alerting, and incident response practices, maintaining high availability for customer-facing services.
• Build, mentor, and grow a backend engineering team, setting high standards for code quality, ownership, and engineering craftsmanship.
• Contribute to longer-term technical and product discussions, helping explore new system capabilities and business directions as the company scales.

Job Requirements

• 8+ years of backend engineering experience, with a strong foundation in system design and building production-grade services.
• Proficiency in at least one major backend language such as Go, Python, C++, or Java, with the ability to evaluate trade-offs and guide architectural decisions.
• Solid experience operating services in cloud environments, preferably with AWS or similar platforms, including storage, compute, and monitoring components.
• Demonstrated experience leading projects end-to-end, from design and implementation to production rollout and ongoing improvement.
• Prior exposure to consumer-facing (B2C) products, especially systems operating at meaningful user scale.
• Experience leading or mentoring engineers, with the ability to balance delivery, technical depth, and people development.
• Familiarity with modern engineering practices such as CI/CD, containerization, and distributed system operations.
• Strong communication skills, with the ability to align technical execution with product goals and business priorities.

What they offer

• A globally deployed product with strong technical foundations.
• A flat, open-minded team with strong engineering ownership.
• Challenging, real-world engineering problems at scale.