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Nexla

Engineering Manager, Product Experience

Posted 3 Days Ago
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In-Office
Bengaluru, Bengaluru Urban, Karnataka
Senior level
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In-Office
Bengaluru, Bengaluru Urban, Karnataka
Senior level
Lead Nexla's Product Experience team to enhance user interactions across data integration platforms by fostering a user-centered engineering culture and driving AI-native development.
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About Nexla

Nexla is the leading Integration platform, built with AI, for AI. Nexla takes a metadata driven approach to converge diverse integrations across Data, Documents, Agents, Applications, and  APIs into a single design pattern. We accelerate the development of solutions for GenAI, Analytics, and Inter-company data. Nexla makes data users and developers up to 10x more productive by delivering a true blend of no-code, low-code, and pro-code interfaces.
Leading companies including DoorDash, LinkedIn, Johnson & Johnson, and LiveRamp trust Nexla for mission-critical data. Named in the 2022, 2023, and 2024 Gartner Magic Quadrant™ for Data Integration Tools and top-rated by customers on Gartner Peer Insights, Nexla is a remote-first company headquartered in San Mateo, California.
At Nexla, our culture is built around our core values: Have Empathy, Be Curious, Be Intellectually Honest, Achieve Excellence, and Remember to Relax. We put our customers at the heart of everything we do, foster a data-driven mindset, take ownership of our work, and believe in the power of teamwork to achieve ambitious goals.
Role

We are seeking an experienced Engineering Manager to lead our Product Experience team - the group responsible for how users interact with Nexla across every touchpoint. This team owns the full-stack experience layer, from our flagship platform to Express.dev (our natural language to data pipeline product) and emerging agentic capabilities that are redefining how users build and manage data integrations.
As Engineering Manager for Product Experience, you will:
  • Lead a cross-functional team of engineers building the interfaces and interaction layers that make complex data integration accessible to technical and non-technical users alike
  • Drive the evolution of AI-native experiences, including natural language interfaces, intelligent assistants, and agentic workflows that automate pipeline creation and management
  • Own the end-to-end product experience across no-code, low-code, and pro-code modalities, ensuring consistency and delight at every level of user sophistication
  • Shape how users discover, build, monitor, and iterate on data pipelines—making Nexla the most intuitive and powerful integration platform in the market
At Nexla, you'll lead at the intersection of product, AI, and engineering craft. You'll have the opportunity to define what AI-native data tooling looks like, build experiences that 10x user productivity, and directly impact how enterprises work with data.
ResponsibilitiesTeam Leadership
  • Mentor, and develop a high-performing team of full-stack engineers with diverse skill sets spanning interaction design, application development, and AI integration
  • Foster a culture of user obsession, where engineers deeply understand user problems and take pride in crafting elegant solutions
  • Create an environment of rapid iteration and experimentation, balanced with the quality standards enterprise customers demand
Product Experience Ownership
  • Own the roadmap for Nexla's product experience layer, balancing new AI-powered capabilities with platform reliability and usability improvements
  • Drive cohesive experiences across Express.dev, the core Nexla platform, and emerging agentic features—ensuring users can seamlessly move between natural language, visual, and programmatic interfaces
  • Partner closely with Product and Design to translate user research and business requirements into engineering plans
AI-Native Development
  • Lead the team in building intelligent, context-aware interfaces that leverage LLMs and agentic patterns to simplify complex workflows
  • Guide the integration of AI capabilities throughout the product experience—from smart suggestions and auto-configuration to fully autonomous pipeline generation
  • Stay ahead of rapidly evolving AI/UX patterns and bring best practices to how Nexla surfaces intelligence to users
Technical Excellence
  • Ensure the team delivers performant, accessible, and reliable experiences across web and programmatic interfaces
  • Champion engineering practices that enable rapid iteration without sacrificing quality—effective testing strategies, feature flagging, observability, and iterative rollouts
  • Provide technical guidance on architecture decisions that balance speed-to-market with long-term maintainability
Cross-functional Collaboration
  • Partner with Platform and Connectors teams to ensure seamless integration between the experience layer and underlying systems
  • Work with Customer Success and Support to close the feedback loop—ensuring user pain points translate into prioritized improvements
  • Collaborate with GTM teams to support launches, demos, and customer-facing moments that showcase Nexla's capabilities
QualificationsLeadership and Management
  • 4+ years managing engineering teams, with demonstrated success building high-performing, collaborative cultures
  • Experience leading full-stack or product-focused teams, ideally in B2B SaaS or developer tools
  • Track record of shipping user-facing products that balance speed with quality in fast-paced environments
Technical Expertise
  • Strong full-stack engineering background with hands-on experience across modern web technologies and application architectures
  • Familiarity with AI/ML integration patterns, particularly LLM-powered features and agentic systems or desire to get into the weeds.
  • Understanding of data systems and workflows—you don't need to be a data engineer, but you should be conversational in how data pipelines, transformations, and integrations work
  • Experience with observability, performance optimization, and building resilient user-facing systems
Product Sensibility
  • Deep empathy for users and an intuition for what makes software feel good to use
  • Ability to think across user segments—from business users who want no-code simplicity to developers who demand power and flexibility
  • Excitement about the intersection of AI and product experience, and opinions on how intelligent interfaces should behave
Communication and Collaboration
  • Excellent communication skills with the ability to articulate technical tradeoffs to non-technical stakeholders
  • Proven ability to partner effectively with Product, Design, and other engineering teams
  • Comfort operating in ambiguity and helping teams navigate unclear requirements toward crisp solutions
Location
India (Preferably Bengaluru)Why NexlaTechnical Impact
  • Lead engineering for the core runtime systems that power enterprise data operations for Fortune 500 companies
  • Build next-generation distributed systems that democratize access to real-time data processing and AI capabilities
  • Work on cutting-edge problems in stream processing, distributed computing, and AI-powered data transformation
Leadership Growth
  • Opportunity to build and scale a world-class engineering organization in a high-growth environment
  • Direct impact on technical strategy and product direction at a fast-growing data infrastructure company
  • Mentorship from experienced technology leaders and exposure to executive-level strategic decision making
Culture & Environment
  • Collaborative, engineering-driven culture that values technical excellence and innovation
  • Remote-first organization with flexible working arrangements and strong emphasis on work-life balance
  • Competitive compensation package including equity, comprehensive benefits, and professional development opportunities
  • Investment in cutting-edge tools, technologies, and continuous learning initiatives
Ready to lead the future of distributed data processing? Join us in building the runtime systems that power enterprise AI and data operations at global scale. Apply today to join the Nexla team!

Top Skills

AI
Application Architectures
Data Systems
Full-Stack Web Technologies
Machine Learning

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