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Forward Deployed Engineer (FDE)

Alguna· Engineering
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Hybrid (Remote (GB; IE; CA; US))$80k - $125kFull-timePosted 8mo ago

About the role

AI-Native CPQ & Billing for Modern Pricing Models. Role focuses on building forward-deployed integrations, data pipelines, and customer-facing solutions that ship in production.

Responsibilities

  • Work directly with customers: Understand workflows, constraints, and goals. Help them succeed with Alguna, fast.
  • Build forward-deployed solutions: Ship integrations, custom workflows, data pipelines, and product extensions that unlock customer value.
  • Close the loop back into the product: Turn repeated customer needs into scalable product improvements and reusable patterns.
  • Be reactive (in a good way): When something breaks or a customer is blocked, you triage, fix, and communicate clearly.
  • Own implementations end-to-end (design → build → deploy → monitor → iterate).
  • Create paved paths: Build templates, tooling, docs, and automation so the next customer goes live faster than the last.
  • Partner cross-functionally: Work with engineering, product, and customer success to prioritize, scope, and ship.

Qualifications

  • 3+ years experience in Engineering, Full stack (as indicated by role)

Skills

Required:Customer-facing communicationFull-stack development
Nice to have:SRE/DevOps mindset for end-to-end ownershipAutomation & tooling
Last updated Aug 19, 2026. Interested? Apply on the company site.
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About Alguna

Modern SaaS Pricing, Quoting & Billing Platform

We are Alguna, an early-stage startup building a modern pricing, quoting, and billing platform for B2B companies. Our mission is to build the most efficient revenue management engine for B2B SaaS. Today, most companies get by using spreadsheets and manual processes across multiple single-point solutions, which is inefficient and costs millions in lost revenue. We solve this by unifying the quote-to-revenue process and automating complex back-office operations. This enables our customers (growth-stage startups and enterprises) to flexibly close more deals faster without worrying about internal limitations and relying on finance and engineering teams.

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