Forward Deployed Engineer (FDE) at Alguna (S23)
$80K - $125K
AI-Native CPQ & Billing for Modern Pricing Models
GB / IE / CA / US / Remote (GB; IE; CA; US)
Full-time
US citizenship/visa not required
3+ years
About Alguna

We are Alguna, building the modern pricing, quoting, and billing platform B2B companies have been waiting for.

B2B revenue infrastructure is stuck in the past. Teams still stitch together spreadsheets, PDFs, inbox approvals, and disconnected point solutions just to get a deal to cash. It’s slow. It’s fragile. And it quietly bleeds revenue through missed invoices, pricing drift, manual errors, and endless “one-off” fixes.

Alguna is here to replace that legacy mess with a single, programmable revenue engine.

We unify the entire quote-to-revenue workflow — pricing, CPQ, usage metering, billing, invoicing, payments, dunning, and automation — and integrate deeply with the systems companies already rely on (CRMs and ERPs/accounting tools). The goal is simple: revenue operations that run with the speed and precision of modern software, not the pace of back-office cleanup.

This is not “another billing tool.” We’re rebuilding the foundation of how B2B companies monetize — so sales can close confidently, finance can trust the numbers, and product and engineering can ship without getting dragged into custom pricing logic every week. As pricing models evolve (usage, hybrid, credits, outcome-based), Alguna makes complexity scalable instead of chaotic.

If the world is done with old-school revenue stacks, we are too.

We’re a multicultural, globally distributed team spanning three continents and five nations, and we welcome diversity.

Company Values

  • Act efficiently: Move fast with tight feedback loops. Automate busywork. Focus on what truly differentiates us.
  • Be intentional: Choose clarity over noise. Set direction, commit to priorities, and execute with purpose.
  • Care deeply: Show up for customers and teammates. Trust by default, communicate directly, and give feedback that helps people improve.
  • Drive excellence: Operate with a high bar. Test, measure, learn, and ship work we’re proud to put our name on.
About the role

You’re customer-obsessed: You want to live close to real users and real problems. You get energy from turning “this is painful” into “this is fixed.”

  • You’re a builder who ships: You don’t just advise or prototype. You deliver working solutions that run in production.
  • You thrive in ambiguity: Early-stage means unclear requirements, moving targets, and learning as we go. You can still make progress fast.
  • You’re relentlessly pragmatic: You’ll make smart tradeoffs to get value out quickly, then iterate once we know what matters.
  • You’re technical and versatile: You can jump across codebases, APIs, data, infra, and integrations. Whatever the bottleneck is, you go there.
  • You communicate clearly: You can translate between customer context and engineering reality without losing nuance (or patience).
  • You’re efficiency-obsessed: You automate repetitive work, reduce manual steps, and shorten time-to-value for customers.
  • You use AI as leverage: You use AI tools to speed up debugging, integration work, scripting, docs, and iteration—while owning correctness and security.

What the job involves

  • Work directly with customers: Understand their 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 jump in, triage, fix, and communicate clearly.
  • Own implementations end-to-end (the fun kind): From “wait, what do you actually need?” → design → build → deploy → monitor → iterate. If it’s flaky at 2am, you’ll care.
  • Create paved paths: Build templates, tooling, docs, and automation so the next customer goes live faster than the last.
  • Partner cross-functionally: Work tightly with engineering, product, and customer success to prioritize, scope, and ship.

What success looks like

  • Customers get to value quickly and stick around because things just work
  • Repeated customer work turns into reusable, scalable product capabilities
  • The team gets faster over time because you remove friction and build “paved roads”
  • You reliably take messy real-world problems and turn them into shipped outcomes
Technology

Engineering Principles

Build as simply as possible: Simple is fast, and allows us to rapidly iterate and deliver business value. For every hour we spend on complex solutions, that’s an hour we’ve lost of iteration.

Be efficient: If there’s a reasonably priced SaaS that delivers something we need for not much money, let’s not waste development hours re-implementing solved problems.

Be opinionated: We don’t want to have several ways of solving non-novel problems, let’s use opinionated frameworks and technologies that allow us to move quickly.

Expect to iterate: The architecture will need to evolve over time, so don’t make choices that build us into a corner.

  • Account for cost. We should assess for cost from day one rather than address it in 1-2 years.

Stack

Frontend: Our customer dashboard and website are built with NextJS, using Tailwind and React, and deployed on Vercel. Backend: is built using Golang and hosted on AWS

Interview Process
  • An initial 30-minute intro call with one of the founders
  • A 60-minute call with the founder you are going to work the closest to go through your experience and (when applicable, a case study)
  • A 30-minute call with two product engineers who you would be collaborating the closest with
  • A final 45-minute values interview with another founder
  • Assuming we are a mutual match, we’ll conduct reference checks to confirm what we learned about you throughout the interview process. Typically, we’d ask for a couple of managers or peers that you collaborated with in the recent past

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