Job
Description
Job Description About the Role: Freshworks is seeking a strong and experienced Engineering Manager to lead the engineering charter for AI Platforms, focused on building and scaling foundational platforms and middleware services that power AI/ML workloads. This role demands technical and strategic leadership in the areas of platform engineering, distributed systems, and managing machine learning services. You will lead a team that develops high-scale, low-latency AI core services which includes discriminative and Gen AI integrations. Experience in building platform services at scale, with exposure to machine learning (ML), MLOps, or GenAI systems is highly valued. Responsibilities: - Own the technical vision, roadmap, and architecture of core AI platform services - Drive execution across cross-functional engineering squads to build scalable, reliable, and reusable platform components. - Manage and mentor a high-performing team of engineers, fostering career growth and technical depth. - Partner with AI/ML scientists, MLEs, System engineers, product managers, and architects to translate AI research and use cases into production ready services. - Champion engineering best practices including CI/CD, observability, fault tolerance, and performance. - Drive quality, reliability, and efficiency through code and architectural reviews, system observability, and testing standards. - Influence and evolve the broader AI platform strategy at Freshworks through thought leadership. - Own delivery, SLAs, and operational excellence for AI platform services. - Contribute to hiring and shaping the engineering culture within the team and organization. Qualifications - Bachelor s degree in computer science, Engineering, or a related field (or equivalent work experience) - 10+ years of software engineering experience with at least 3+ years in people management roles - Strong background in building and operating platform-level or middleware services at scale. - Strong design and architecture skills, especially in distributed systems, backend services, APIs, infrastructure and Ops - Set and uphold systems engineering standards around service performance, reliability, and observability driving metric instrumentation, performance benchmarking, and a strong on-call and incident response culture - Excellent programming skills in one or more languages (Java, Python, Go, etc.) - Passion for coaching, growing engineers, and helping them achieve their potential - Proven track record of driving technical and process improvements at an organizational level - Strong communication and stakeholder management skills - Experience building machine learning platforms, GenAI integration, or MLOps tooling is a significant plus
