Client of Talent Mappers Consulting India Private Limited
Website:
talentmappers.com
Seniority: Mid-Senior level
Job details:
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
Click on Apply to know more.