Senior Director - Engineering at Freshworks

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

24 May, 26

Salary

0.0

Posted On

23 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Inspirational Leadership, Talent Management, Organizational Scaling, Performance Management, Cloud Computing, Microservices Architecture, DevOps, CI/CD, SRE Principles, Data Security, Compliance Frameworks, Strategic Planning, Roadmap Development, Data-Driven Decision Making, Agile Development, Cross-Functional Influence

Industry

Software Development

Description

Company Description Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description Responsibilities: We are looking for a visionary technology leader to take the charge of our AI Analytics group, a leader who makes bold moves and inspires their teams to set high standards for craftsmanship, resilience, and scale. As the Senior Director of Engineering for AI Analytics, you will be empowered to make an impact by owning the strategic vision and technical execution for all core services. You will lead a world-class organization of engineers and managers, fostering a culture of innovation and collaboration where we win as one team. This is a pivotal role with the opportunity to influence our entire product portfolio and deliver the speed and reliability our customers depend on. Key responsibilities Lead a multi-disciplinary org: analytics engineers, BI developers, and data product leaders. Build scalable pipelines and data products (bronze/silver/gold patterns), ensuring data quality, lineage, and reliability. Establish governance: access controls, data classification, privacy/PII handling, audits, and compliance-ready practices. Drive an insights product mindset: stakeholder discovery, prioritization, MVPs, adoption measurement, iteration. Deliver executive-ready narratives and business reviews: concise insights, drivers, recommendations, and clear next steps. Define and track impact: adoption, decision velocity, deflection, productivity gains, risk reduction, and ROI. Work with the Data Science team on creating state of the art models. What You'll Do (Responsibilities) Set the Analytics & Insights vision: Define the strategy, roadmap, and operating model to deliver reliable, outcome-focused insights across Product, Support, Sales, Marketing, Finance, and Operations. Build proactive intelligence: Ship systems that detect anomalies, forecast risk, and surface emerging trends—pushing insights to stakeholders proactively (not waiting for dashboards). Deliver agentic insights: Partner with AI/ML and product teams to build AI assistants/agents (e.g., an “Insights Copilot”) that answer questions, generate narratives, recommend next-best actions, and integrate into the tools teams already use. Own the modern data + insights platform: Lead the end-to-end analytics ecosystem on Databricks (Lakehouse)—including orchestration, governance, semantic layer, and BI—to maximize speed, trust, and scalability. Establish a single source of truth: Standardize KPI definitions and metric governance, ensuring consistent reporting and decision-making across teams. Scale self-serve analytics: Drive adoption through curated data products, templates, enablement programs, and strong stakeholder partnerships that reduce ad-hoc asks and increase autonomy. Close the insights-to-action loop: Build processes and tooling so insights translate into decisions and measurable impact (cost reduction, retention lift, improved SLA performance, faster resolution, revenue acceleration). Lead & Inspire: Cultivate a high-performance, inclusive culture across a multi-tiered organization of engineers and managers. Mentor the next generation of technical leaders and build a world-class team that is known for its technical excellence and execution velocity. Execute with Excellence: Master the entire development lifecycle, from strategic planning and roadmap management to deployment and operations. Champion agile and iterative development methodologies to ship exceptional products under ambitious deadlines and evolving business priorities. Drive Technical & Architectural Strategy: Act as the ultimate technical authority for the platform. Guide your teams in building large-scale, distributed cloud systems and microservices architecture, ensuring we are always adopting best practices and cutting-edge technologies. Collaborate to Win: Build powerful partnerships with leaders in Product, Operations, and GTM to ensure the platform roadmap is perfectly aligned with business needs and customer expectations. Foster a "one team" mindset to solve complex, cross-functional challenges. Champion Innovation & Quality: Foster a culture of continuous improvement, encouraging out-of-the-box thinking and the adoption of new technologies. Establish and track key performance indicators (KPIs) that measure platform health, reliability, and business impact. Qualifications What You'll Bring (Qualifications) A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 15+ years of progressive experience in software engineering, with a proven track record of at least 5 years in a senior leadership role (Director or above) managing analytics, data engineering, and business insights. Demonstrable experience building, scaling, and leading high-performing product and engineering organizations in an enterprise SaaS environment. A strong technical foundation in building and operating large-scale, distributed systems on public cloud platforms (e.g., AWS, Azure, GCP). Skills Inventory Leadership & Talent Management: Inspirational Leadership & Mentorship Talent Acquisition & Retention Organizational Design & Scaling Performance Management & Career Development Technical & Architectural Acumen: Cloud Computing & Microservices Architecture Large-Scale Distributed Systems Design DevOps, CI/CD, and SRE Principles Data Security & Compliance Frameworks Strategic & Business Acumen: Long-Term Strategic Planning & Vision Setting Roadmap Development & Prioritization Budget & Resource Management Data-Driven Decision Making & KPI Management Execution & Collaboration: Agile & Iterative Development Methodologies Cross-Functional Influence & Stakeholder Management Exceptional Communication & Interpersonal Skills Problem-Solving & Crisis Management Additional Information At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.

Responsibilities

The role involves setting the vision and strategy for the Analytics & Insights platform, leading a multi-disciplinary organization, and building proactive, agentic intelligence systems across various business functions.