Software Engineering Manager

ApplyBoard Inc.; Gurgaon; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

ApplyBoard Inc. is seeking an experienced Software Engineering Manager to join our Software Development team. This role is crucial for integrating AI and ML technologies into our products while managing a multidisciplinary team.

You will be responsible for driving the full development lifecycle, from requirements analysis to operational support. The ideal candidate has a Bachelor's in Engineering or Computer Science, along with 5+ years of experience in software development and a proven record in AI/ML leadership.

Qualifications

• Minimum of 5+ years of experience in software development.
• At least 1+ year in a software development leadership role.
• Strong knowledge of Object-Oriented Design, data structures, algorithm design.

Responsibilities

• Manage engineering activities and deliver high-quality solutions.
• Collaborate with internal customers on project requirements.
• Drive the full development lifecycle of AI/ML solutions.

Skills

Software development

AI and Machine Learning

Agile methodologies

Leadership

Problem-solving

Education

Bachelor’s degree in Engineering or Computer Science

Tools

TDD

CI/CD pipelines

Job description

The Opportunity

We are seeking an experienced Software Engineering Manager to join our Software Development team and help take our company and platform to the next level. This role will be pivotal in integrating cutting‑edge Artificial Intelligence (AI) and Machine Learning (ML) technologies into our core products.

What You’ll Be Doing Every Day

• Meet business needs by managing engineering activities and consistently delivering high‑quality solutions, with a focus on AI‑driven features and systems.
• Collaborate with internal customers to gather business processes and project requirements, particularly related to data utilisation and intelligent automation.
• Drive the full development lifecycle, including requirements analysis, feasibility estimates, architectural design, development, implementation and operational support, ensuring scalable and robust AI/ML solutions.
• Work closely with Product Management partners on project planning, resource allocation, scheduling and development timelines, especially for machine‑learning initiatives.
• Build and manage multidisciplinary software teams, overseeing development processes using industry best practices, including MLOps and model deployment standards.
• Lead design reviews, code reviews and mentor engineers while promoting data‑informed decision‑making and ethical AI development.
• Partner with Talent Acquisition and hiring managers to recruit world‑class engineering talent, with a focus on AI/ML expertise.
• Manage multiple priorities in high‑pressure environments, identifying and resolving risks early to avoid cost and timeline overruns.
• Plan and participate in community meetups, fireside chats, information sessions, and technical and recruiting events.

What You Bring to the Table

• Minimum of 5+ years of experience in software development.
• At least 1+ year in a software development leadership role (Engineering Manager level or higher).
• Bachelor’s degree in Engineering, Computer Science, or equivalent professional experience.
• Proven experience managing or contributing to AI and Machine Learning products or features.
• Strong proficiency with Agile methodologies, development tools and best practices.
• Hands‑on experience in environments using TDD and CI/CD pipelines.
• Solid knowledge of Object‑Oriented Design, data structures, algorithm design and complexity analysis.
• Experience defining and executing best practices across the full software development lifecycle.
• Proficiency in Event‑Driven and Service‑Oriented Architectures.
• Strong analytical and quantitative skills, with the ability to use data and metrics to drive decisions.
• Excellent problem‑solving abilities, attention to detail, and ability to multitask in deadline‑driven environments.
• Strong verbal and written communication skills with experience influencing peers and executives.
• Ability to understand technical concepts, evaluate trade‑offs and assess new ideas with internal and external partners.
• Proven collaboration with business, legal, engineering, design and cross‑functional stakeholders.
• Strong sense of ownership, urgency and accountability.
• Demonstrated leadership, mentoring and people management skills.
• Track record of data‑driven decision‑making.

ApplyBoard welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates in all aspects of the hiring and selection process.