Regional Manager

Regional Manager AI/ML Product & Engineering (India)

Job Location : Pune (Hybrid)

About KX :

KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments.

The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively.

KX is essential to the operations of the world's top investment banks, aerospace and defense, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations.

The company has established offices and a robust customer base across North America, Europe, and Asia Pacific.

Overview Of The Role :

KX is hiring a seasoned Regional Manager to scale and lead our India operations, with a strong emphasis on AI/ML product engineering excellence.

India is a strategic location for R&D talent, making this role critical to our global success.

Key Responsibilities :

Technical & Engineering Oversight :

- Support and guide engineering teams working on AI, ML, LLM integration, or KX product solutions.

- Drive technical execution in collaboration with global engineering leadership.

- Review architectures, code, and processes to maintain technical excellence.

- Ensure agile delivery, quality assurance, and DevOps integration best practices.

People & Operations Management :

- Build, mentor, and manage multidisciplinary teams (engineering, QA, support, documentation).

- Lead hiring, onboarding, performance management, and employee engagement in India.

- Champion a high-performance culture that fosters continuous learning and accountability.

Regional Strategy & Growth :

- Act as the primary point of contact between India teams and global stakeholders.

- Contribute to regional business growth strategy, including scaling up talent and capabilities.

- Oversee vendor relationships, statutory compliance, and office administration.

- Manage budgetary planning and reporting in alignment with corporate objectives.

Skills :

- FinTech & Financial Services : Deep understanding of financial services use cases, especially in AI/data-driven solutions.

- Engineering Leadership : Proven ability to lead and scale high-performing engineering teams.

- Agile & DevOps : Strong focus on agile delivery, CI/CD, and DevOps best practices.

- AI/ML & LLM Integration : Hands-on experience with AI/ML, Generative AI, LLMs, and NLP workflows.

- Distributed Systems : Expertise in building and managing scalable, cloud-native architectures.

- Technical Oversight : Skilled in architecture reviews, code quality, and driving engineering excellence.

- People & Team Management : Experienced in hiring, mentoring, and performance management.

- Stakeholder Engagement : Strong communicator with global stakeholders and cross-functional teams.

- Labour Law & Compliance : Knowledge of Indian employment laws, compliance, and HR practices.

- Vendor & Operations Management : Proficient in managing vendor relationships and operational logistics.

Essential Experience :

- 10+ years total experience with at least 4+ years in senior engineering management.

- Proven hands-on background in software engineering (AI/ML, data platforms, or analytics preferred).

- Experience with Generative AI, LLMs, NLP workflows, or scalable distributed systems.

- Strong leadership in hybrid/remote setups with multicultural, geographically distributed teams.

- Sound understanding of Indian labour laws and employee engagement practices.

- Experience managing India-based vendor partners (e.g., payroll, PEOs, outsourced support).

- Excellent communication and executive stakeholder management.

Preferred Qualifications :

- Prior experience setting up or scaling India operations for a global tech company.

- Familiarity with KX (kdb+/q) or similar time-series analytics platforms.

- Understanding of SaaS/enterprise product delivery models.

- Certifications or research exposure in AI/ML (preferred but not mandatory).

Location & Workplace Type : Hybrid working model based out of Pune.

Why Choose KX :

- Data Driven : We lead with instinct and follow fact.

- Naturally Curious : We lean in, listen and learn fast.

- All In : We take ownership, take on challenges and give it our all.

Benefits :

- Competitive Salary.

- Individually tailored training and skills development.

- Private healthcare package and Employee Assistance Programme.

- Enhanced maternity and paternity package.

- Wellness Days and Volunteer Days.