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KnackLabs

KnackLabs is an AI transformation company that builds AI automation platforms and production-grade AI agents to automate business operations and deliver secure, enterprise-ready AI solutions.

We are looking for a Forward Deployment Engineer to lead customer onboarding, deployments, and production support on the platform. This role sits at the intersection of engineering, customer success, and product and requires strong technical depth combined with excellent skills. You will work directly with enterprise customers to ensure fast, reliable deployments and long-term technical success. This is not a traditional support role; it's a high-ownership, hands-on techno-support and deployment engineering role.

The candidate will have responsibilities across the following functions:

Customer Deployment and Onboarding:

  • Own end-to-end deployment of our platform for enterprise customers.
  • Configure integrations, workflows, and environment-specific setups.
  • Drive fast go-live and post-deployment stabilisation.

Customer Interaction and Requirement Gathering:

  • Act as the primary technical point of contact for customers.
  • Understand customer business flows, data needs, and system constraints.
  • Translate requirements into clear technical inputs for product and engineering teams.

Production Support (L1 and L2):

  • Handle L1/L2 production support for customer-reported issues.
  • Debug data, integration, performance, and infrastructure issues.
  • Act as a technical escalation point during critical incidents.

Data and ETL Support:

  • Understand and troubleshoot ETL pipelines and data workflows.
  • Support ingestion, transformation, validation, and reconciliation of data.
  • Work with APIs, databases, and file-based integrations.

Product Feedback and Documentation:

  • Share real-world customer feedback, gaps, and edge cases with product teams.
  • Create deployment guides, runbooks, and internal documentation.

Requirements:

  • 4-8 years of experience in customer-facing technical roles.
  • Strong understanding of ETL pipelines and data workflows.
  • Experience working with AWS, GCP, or Azure cloud environments.
  • Knowledge of cloud networking fundamentals.
  • Knowledge of Java, Spring Boot, Python, and Postgres is a must.
  • Familiarity with SQL, APIs, monitoring, and logging tools.
  • Strong troubleshooting and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Experience with SaaS, FinTech, or enterprise platforms.
  • Prior roles in Solutions Engineering, Deployment Engineering, or Technical Support (L2/L3).
  • Startup or high-growth environment experience.
  • Effective Communication: Clear and precise communication to collaborate effectively across teams.
  • Curiosity and Growth: A proactive learner with a passion for continuous improvement and innovation.

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Location
Mumbai