Forward Deployed Engineer

Nexla is the leading Integration platform built with AI, helping businesses accelerate the development of solutions for GenAI and Analytics. The Forward Deployed Engineer will work closely with strategic customers to understand their data challenges, build solutions using the Nexla platform, and ensure successful deployment and operation of these solutions.ResponsibilitiesBuild & Deploy at Customer Sites (60%)Embedded with strategic customers to understand their data infrastructure, integration requirements, and business goals then architect and implement solutions using the Nexla platformBuild production data pipelines, connectors, and workflows tailored to each customer's environment. This includes working across their data warehouses, SaaS apps, streaming systems, and internal APIsDesign and deploy AI-powered data flows leveraging Nexla's intelligent connectors, context-aware transformations, and agentic capabilities to solve problems that traditional integration tools can'tOwn the technical delivery end-to-end. You scope the work, build it, test it, deploy it, and ensure it runs reliably. When something breaks at the customer site, you're the first responderNavigate complex enterprise data environments - messy schemas, undocumented APIs, legacy systems, regulatory constraints. You figure it out and make it workFeed the Product (25%)Identify repeatable patterns across customer engagements. What you build for one customer should inform what we build into the platform for everyoneSurface product gaps, UX friction, and missing capabilities directly to the Product and Engineering teams. You're our best source of ground truth on what customers actually needContribute back to the Nexla platform build reusable connectors, templates, and reference architectures that accelerate future deploymentsWrite the deployment playbooks, integration guides, and best practices that make the next engagement faster and smootherPartner with Go-to-Market (15%)Support Sales during high-stakes technical evaluations. Help prospective customers see what's possible by scoping solutions and building proof-of-value demonstrationsAct as the trusted technical partner for customer stakeholders from individual data engineers to VPs of Data. You translate between their world and oursCollaborate with Customer Success to ensure long-term adoption and expansion. The deployment doesn't end when the pipeline goes liveSkills1+ years of software engineering experience, with a track record of building and deploying production systems. Former technical founders or engineers with consulting experience are a great fitExperience building or deploying agentic AI systems in enterprise environmentsStrong Python skills. You're comfortable building data pipelines, writing integrations, working with APIs, and scripting your way through ambiguous problemsKnowledgeable about enterprise data infrastructure data warehouses (Snowflake, Databricks, BigQuery), streaming platforms (Kafka), ETL/ELT patterns, and the modern data stackHands-on experience with AI/LLM technologies prompt engineering, agent development, orchestration frameworks, or building AI-powered workflows. You don't need to be an ML researcher, but you should be able to build with these toolsCustomer-facing confidence. You can run a technical discovery call, whiteboard an architecture with a customer's data team, and explain trade-offs to non-technical stakeholders without dumbing things downHigh agency. You thrive in ambiguous situations where the problem isn't well-defined and the playbook doesn't exist yet. You figure it out, make decisions, and moveYou've owned outcomes, not just tasks. You've been the person responsible for making something work in a real environment, not just in a staging clusterExperience at a data integration, iPaaS, or ELT company (Fivetran, MuleSoft, Informatica, Airbyte) or in a customer-facing engineering roleFamiliarity with data protocols and patterns: CDC, GraphQL, gRPC, Webhooks, RESTCloud-native experience (AWS, GCP) including working with managed data services, IAM, networkingComfort with travel (up to 25%) to embed with customer teams when neededBenefitsMedicalDentalVision401kFlexible PTOCompany OverviewNexla provides automation to integrate, transform, and monitor data for various use cases. It was founded in 2016, and is headquartered in San Mateo, California, USA, with a workforce of 51-200 employees. Its website is https://www.nexla.com.Company H1B SponsorshipNexla has a track record of offering H1B sponsorships, with 6 in 2025, 4 in 2024, 2 in 2022, 1 in 2021. Please note that this does not guarantee sponsorship for this specific role.



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