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 companies.
• 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.
• We're multi-cultural and welcome diversity. We have team members across three continents and five nations.

Company Values

• Act efficiently: We strive to work smarter, not harder, we establish feedback loops as soon as possible and focus on what differentiates us.
• Be intentional: We’re deliberate in our actions, setting clear goals and priorities.
• Care deeply: We empathize with our customers and our colleagues. We trust by default and give timely, constructive feedback.
• Drive excellence: We have high standards and hold ourselves accountable for them. Ideas are pursued on merit, informed by actual testing and data.

Who you are

• You're a generalist who is willing to build the foundation of our data stack, which may involve some software engineering, data engineering, devops and data analysis
• You're happy to be autonomous, making pragmatic decisions for yourself
• You're curious - if something doesn't work you figure it out, you don't depend on others to fix things for you
• You have related production experience with building a data stack from scratch

What the job involves

• 0→1: Building the foundation for data products at Alguna - this includes both internal analytics and customer facing data products
• Collaborating: We’re remote but highly collaborative in nature
• Shipping value: We’re in the early stages of building the product, so we need to get features out there, get feedback, and iterate
• Improving our internal developer experience: In order to allow us all to be efficient
• Not just writing code: We write proposals to gather feedback on upcoming work and document our decisions
• Being pragmatic: Given we’re still finding product-market fit, we will need to make tradeoffs with what we ship, and it’s not always going to be polished

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 Goland and hosted on AWS