Director, Engineering – AI Product Experience

Overview

Lead the engineering team responsible for the customer experience of DeepIntent's AI-powered, agentic platform for healthcare marketers, owning the iOS and Android apps and the engineering behind AI product benchmarking.

What you'll do

• Lead, mentor, and grow engineers and engineering managers, building a culture of ownership, quality, and continuous improvement.
• Own the strategy, architecture, and delivery of the iOS and Android apps, bringing conversational, AI-driven workflows to mobile with a fast, reliable, and secure experience.
• Establish release processes, app store management, crash and performance monitoring, and usage analytics so the apps ship often and reliably.
• Partner with Product to make AI product benchmarking repeatable, leading the team that builds test harnesses, data pipelines, and dashboards tracking quality, latency, and cost across releases.
• Work with Product Managers on roadmaps, success metrics, and releases, and with Engineering Managers on APIs, dependencies, and delivery.
• Drive planning, prioritization, and delivery predictability, and communicate progress, risks, and trade-offs to engineering leadership and business stakeholders.
• Set standards for code quality, testing, observability, security, and healthcare-grade privacy.

What you'll need

• 5–7+ years of experience in engineering management, leading cross-functional teams to deliver customer-facing products.
• A track record of shipping and scaling iOS and Android apps, whether native (Swift, Kotlin) or cross-platform (React Native, Flutter).
• Strong understanding of mobile application architecture, client-server communication, API design, streaming and real-time UX, SSO, and app store release management.
• Experience partnering with Product Managers and Engineering Managers to translate product goals into roadmaps and measurable outcomes.
• Experience with cloud infrastructure, CI/CD, observability, and production reliability.
• Strong communication and stakeholder management skills, and comfort owning outcomes across work-streams.

Nice to have

• Exposure to AI or LLM-powered products.
• Familiarity with healthcare data, healthcare advertising, or privacy-conscious products.

Details

• Location: Pune, India.
• Hybrid-friendly culture with flexible work options.