Nexla→
Technical Lead Manager at Nexla in Bengaluru, Karnataka, India
Job Description
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, 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.
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.
The Opportunity
We are seeking an experienced Staff Engg/TLM to lead this diverse and dynamic team, fostering innovation, operational excellence, and a culture of continuous learning. As an Engineering Manager for the Data Connectors Team, you will:
- Lead a high-performing team of engineers working on a variety of data connectors, ensuring delivery of scalable and robust solutions that integrate with diverse data ecosystems.
- Inspire enthusiasm for exploring and working with different data source connectors while creating an environment where engineers thrive in learning and adapting to new technologies.
- Enable the team to deliver in a fast-paced environment, effectively managing the complexities of building and maintaining a wide range of connectors.
- Cultivate a team culture that prioritizes collaboration, efficiency, and innovation in solving large-scale data engineering challenges.
At Nexla, you’ll lead a critical team at the intersection of data and innovation. You’ll have the opportunity to shape a rapidly growing platform, tackle large-scale engineering challenges, and make a significant impact on the way businesses work with data.
Key Responsibilities
- Team Leadership:
- Hire, mentor, and manage a diverse team of engineers, ensuring professional growth and alignment with organizational goals.
- Encourage a passion for self-learning, keeping the team motivated to explore new connectors and stay ahead of industry trends.
- Product Delivery:
- Define and manage the development roadmap for data connectors, ensuring timely and high-quality delivery.
- Foster close collaboration with backend, API, and UI teams to build end-to-end solutions.
- Technical Oversight:
- Guide the team in architecting scalable solutions for integrating and processing data from various formats (e.g., JSON, Parquet, Avro).
- Provide support during on-call rotations to ensure system reliability.
- Innovation and Efficiency:
- Champion the adoption of new technologies and practices to enhance platform performance and robustness.
- Encourage the design and implementation of tools to better monitor and manage system performance.
- Cross-functional Collaboration:
- Work closely with product, customer success, and support teams to align technical solutions with customer needs.
- Drive collaboration across engineering teams to deliver impactful projects.
What You Bring to Nexla
- Leadership and Management:
- Proven experience managing and mentoring engineering teams, with a focus on fostering enthusiasm and productivity.
- Ability to effectively balance team dynamics, timelines, and technical challenges in a fast-moving environment.
- Technical Expertise:
- Strong knowledge of backend systems and experience with JVM-based languages (or similar), Kubernetes, Kafka, Redis/Memcached, and APIs (gRPC, REST).
- Familiarity with working on large-scale data engineering problems and managing high-throughput systems.
- Understanding of various data formats and connectors across different systems.
- Passion for Learning:
- Eagerness to explore and stay up-to-date on new data connector technologies and practices.
- Ability to inspire a culture of self-learning and technical curiosity within the team.
- Communication and Collaboration:
- Excellent communication skills with the ability to connect business needs to technical solutions.
- Track record of fostering strong collaboration across engineering, product, and customer-facing teams.
Why Build Your Future at Nexla? We are standing at the precipice of the GenAI revolution, but the biggest bottleneck isn't the models, it's the data. By joining Nexla, you aren’t just entering a company; you are stepping into the critical layer of the modern data stack that powers the AI economy. We are the Data Fabric that enables industry titans like LinkedIn, DoorDash, and J&J to turn messy, siloed data into ready-to-use products for RAG and predictive models. This is your opportunity to move beyond simple tooling and build the actual infrastructure that democratizes data access for the next decade of innovation. If you want to solve the hardest problems in data engineering and own a piece of a market projected to hit billions, your career belongs here.