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 defence, 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
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