Head – Technology & AI

Job description
Reporting: Founders

Location : Bengaluru Office

Role Expectations – Technology Leadership

The Head - Engineering & AI is expected to play a transformational leadership role in driving the company’s technology vision, AI innovation, execution discipline, scalability, and engineering culture. This role goes beyond managing delivery and requires strategic ownership in building a future-ready AI-first HR technology platform.

The expectations from the role include:

Strategic Technology & AI Leadership
• Define and continuously evolve the company’s long-term technology and AI vision aligned with business growth and market evolution.
• Drive proactive AI-first product thinking rather than reactive customer-led development.
• Continuously evaluate how AI can:
• improve product capabilities,
• reduce operational costs,
• automate workflows,
• improve customer experience,
• and create sustainable market differentiation.
• Build future-ready, scalable, and intelligent HR tech products ahead of market demand.

Product Innovation & Market Leadership
• Lead technology-driven innovation across the product portfolio.
• Continuously benchmark competitors, emerging technologies, and AI-native platforms to ensure the company remains ahead of market trends.
• Identify opportunities for differentiation through:
• Generative AI,
• intelligent automation,
• predictive analytics,
• conversational AI,
• workflow optimization,
• and data-driven experiences.
• Work closely with Product and Business teams to convert market insights into scalable product capabilities.

Execution Excellence & Accountability
• Drive strong execution discipline, delivery ownership, and outcome-oriented engineering culture.
• Ensure all technology initiatives are evaluated with clear consideration towards:
• timelines,
• scalability,
• customer adoption,
• implementation complexity,
• and commercial impact.
• Establish structured review mechanisms, engineering governance, prioritization frameworks, and accountability systems.
• Ensure execution momentum, urgency, and delivery predictability across all engineering initiatives.

Scalability, Cost Optimization & Platform Efficiency
• Build highly scalable, secure, reliable, and cost-efficient SaaS platforms.
• Drive continuous optimization across:
• infrastructure costs,
• architecture efficiency,
• cloud utilization,
• AI model costs,
• third-party dependencies,
• and engineering productivity.
• Evaluate and implement strategic technology partnerships, frameworks, and external solutions where required to accelerate business outcomes.
• Ensure technology decisions are commercially sustainable and aligned with growth objectives.

Engineering Culture & Organizational Development
• Build a high-performance engineering organization driven by ownership, innovation, collaboration, and accountability.
• Lead AI upskilling initiatives and continuous learning programs across engineering teams.
• Foster a culture where teams align engineering efforts with larger business outcomes and customer impact.
• Develop strong leadership pipelines and mentoring frameworks within the engineering organization.
• Break functional silos and encourage cross-functional collaboration across Product, Customer Success, Sales, and Operations.

Product Stability & Customer Experience
• Ensure high platform reliability, product quality, and customer satisfaction.
• Drive reduction in support escalations, recurring defects, and production issues.
• Establish strong engineering quality practices, observability frameworks, and operational excellence standards.
• Create a customer-centric engineering mindset focused on retention, adoption, and long-term trust.

Founder-Level Ownership & Business Contribution
• Operate as a strategic business leader and not only as a functional engineering head.
• Contribute actively across:
• product strategy,
• customer discussions,
• GTM initiatives,
• strategic partnerships,
• operational scaling,
• and business transformation initiatives.
• Bring urgency, intensity, accountability, and proactive leadership required in a high-growth SaaS environment.
• Actively partner with leadership and board stakeholders to drive technology-led business growth.

Success Indicators

Success in this role will be measured by:
• Speed and quality of product innovation
• AI adoption across platform capabilities
• Engineering execution predictability
• Platform scalability and reliability
• Cost optimization and operational efficiency
• Reduction in customer escalations
• Team productivity and AI readiness
• Competitive differentiation in the HR Tech market
• Overall contribution towards business growth and market leadership