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Forward Deployed Engineer

Anglera· Engineering
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Hybrid (San Francisco, CA)$125k - $160k + equityFull-timePosted 11mo ago

About the role

AI-Powered Product Data Enrichment company Anglera seeking a Forward Deployed Engineer to lead custom deployments, data integrations, and enterprise implementations, working closely with founders to build end-to-end product data pipelines and integrate AI-powered enrichment into customer environments.

Responsibilities

  • Architect and deploy data pipelines for ingesting, enriching, and exporting product data across customer systems.
  • Work directly with enterprise engineering teams to integrate Anglera’s APIs, SDKs, and internal services.
  • Implement and maintain webhook-based event flows to trigger enrichment and sync updates in real time.
  • Partner with Anglera’s product and infra teams to feed customer requirements back into platform development.
  • Collaborate with client-side technical leads to troubleshoot pipelines, optimize performance, and ensure data integrity.
  • Contribute to documentation, example scripts, and reusable deployment templates for future rollouts.

Qualifications

  • 2–4+ years of experience in software engineering, data engineering, or technical solutions roles.
  • Experience working with APIs, ETL pipelines, and modern integration frameworks.
  • Comfortable writing and debugging Python or JavaScript for data and system integrations.
  • Familiarity with e-commerce or PIM/MDM ecosystems (Stibo, Salsify, Shopify, Akeneo, Syndigo, etc.) is a big plus.
  • Strong communication skills - able to talk to both engineers and business stakeholders.
  • Excited to work in a fast-moving startup environment where every integration shapes the product roadmap.

Skills

Required:PythonJavaScript
Last updated Aug 26, 2026. Interested? Apply on the company site.
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About Anglera

AI-Powered Product Data Enrichment

At Anglera, we're developing a suite of AI agents to help e-commerce companies run their operations more efficiently. Our flagship agent helps our customers onboard, enrich, and manage their product data, reducing time per product from 15 mins down to 5 seconds. We previously developed ML to automatically enrich millions of products at Uber Eats, and we're now on a mission to automate the most common manual workflows for every e-commerce business.

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