How Postscript Scaled Finance 10X to $100M+ with Aleph

‍Postscript is an SMS marketing platform that empowers e-commerce brands to develop relationships and drive sales at scale through text messaging.

Chris Brubaker, now SVP of Finance, joined as the first finance hire after the company raised its Series B round led by Greylock — and has built a super-efficient yet super-effective finance function from scratch to support 10X growth to $100M and beyond.

Of the things that really hooked me about Aleph early on was the speed of being able to get up and running with it. You know, we we started using it basically by the end of the first day that we were live. We started connecting our data sources, structuring some tables, and setting those up in Excel so that we could pull the data through. And it was extremely quick to see the value and how it would impact our processes. My name is Chris Brubaker. I'm the senior vice president of finance for Postscript. We are a SMS marketing company selling to ecommerce brands. Postscript is about two hundred fifty employees. We're well north of a hundred million ARR at this point, and we've been around since late twenty eighteen. The biggest problems that we had to solve were understanding all the underlying metrics and data and levers that built up into a strong usage based forecast with, expansion being a main component of how we grow the business. And so really being able to consolidate our data sources across, things like Salesforce and our our data warehouse with Snowflake, while also marrying our financial data to be able to really build in those forecasts was paramount to us, getting a good handle on planning the business. Figuring out the budgeting process and like how to put good controls around scenario modeling, version control, different updates to the forecast as as business changed in crew. We spent about three months trying to implement with a different vendor. Didn't have a great experience there. Unfortunately, right about the time that we were getting frustrated with trying to make that work, Aleph came out with their budgeting features with the ability to upload our budget into tables, which helped us structure both the planning process and then the measurement process on a monthly basis that we could help business owners in our company understand how they're tracking its budget, how do those metrics stack up, and where are the places they need to be spending their time. The amount that Aleph is really leaning into AI is a driver for how to make the finance process better and more efficient. So things like talking with your data, really helping to drive insights from what you're doing rather than spending time pulling numbers. And also the ability to speed up creation of dashboards and reports, using plain language queries to essentially do some of the work that we would spend time doing on the finance team before can now be automated and we can get back to doing the thing that matters which is like stakeholder communication, and decision making support. We continue finding new ways to leverage Aleph to make our processes even better, and the Aleph team has been there to support us with that along the way the whole time. Always bringing us fresh ideas on how other people are using Aleph or how they spotted something in our process that we can maybe be doing more efficiently. So not only is it quick to get set up, it's sort of like an ongoing onboarding process where we are continually learning new ways to get the most out of the software. Using Aleph has really helped us to scale the team, but in a way that's really intentional and thoughtful. We're not adding a bunch of headcount just to pull reports or maintain infrastructures for finance. We can really lean on Aleph to do that and focus on hiring for value where we can drive decision making. We've also been able to expand our use cases into other departments in the company. And being able to bring additional departments into Aleph and have the same source of truth and the really ease of use to be able to push those push that data across a variety of different use cases has helped us really keep decision speed up and make sure that we're always talking about the same things.

We're not adding headcount just to pull reports or maintain infrastructure. We can lean on Aleph to do that and focus on hiring for value — where we can drive decision-making.

Chris Brubaker

SVP of Finance

The challenge

When Chris arrived, there was no finance function to speak of — no models, no reporting infrastructure — it was just an outsourced accounting firm that had left the books in sub-optimal shape.

His first job was to understand how the business actually worked: how revenue was generated, what drove costs, and how to build a forecast that leadership could trust.

As a usage-based company, Postscript's financials were unusually complex. Variable COGS tied to message delivery costs, a dense matrix of pricing by region and phone type, and multiple data systems that never talked to each other made consolidation a constant battle.

Running any analysis meant manually exporting data from Salesforce, Snowflake, and their accounting system, then pasting and reconciling everything in spreadsheets, every cycle.

There was no version control on the budget, no single source of truth for reports, and no clean way to collaborate with RevOps or BI teams who were working from their own numbers.

An alternative FP&A tool was brought in to address some of these pains, but after months of implementation, it still couldn't properly connect to and reconcile cross-system data. The team cut its losses.

The turning point

Chris came to Aleph in 2022 when he was still early in his journey. The attraction was simple: eliminate the download-and-paste cycle and create a reliable, refreshable data layer that could serve as the foundation for everything else.

The experience from day one was completely different.

Integrations with Snowflake, Salesforce, and QuickBooks (back then and Rillet now) were live in under a day, compared to months of failed attempts with the prior vendor.

Chris remembers his first Aleph “aha” moment was when he realized he could create custom tables from other tables, letting the team weave together headcount from Rippling, financials from their ERP, and CRM data from Salesforce into a single, consistent structure — with consistent naming that carried through every report.

Implementing Aleph was insanely fast. We did all of our quarter-end reporting with Aleph less than 3 weeks after signing.

Chris Brubaker

SVP of Finance

How Postscript’s finance team operates today

The work didn't change, but how they do it did:

Over four years, Aleph has grown alongside Postscript's finance function. What started as a reporting tool expanded to cover budgeting and scenario modeling — and then expanded again cross-functionally, becoming the connective layer between finance, RevOps, and the BI team.

Budget vs. actuals by department now turns in under a day. Business owners track their own numbers. Chris's mantra — "don't hire until you absolutely must" — has been extended further by having the right software in place.

Being able to bring additional departments into Aleph as the single source of truth — and the ease of use to push that data across a variety of use cases — has helped us keep decision speed up and make sure we're always talking about the same things.

Chris Brubaker

SVP of Finance

Chris describes the relationship with Aleph not as a one-time implementation but as an ongoing partnership. One that has evolved as Postscript has grown 10X, hitting and passing 100M ARR. The Aleph team regularly surfaces new use cases, flags workflow inefficiencies, and keeps Postscript informed on the roadmap.

"Not only is it quick to get set up — it's sort of like an ongoing onboarding process where we are continually learning new ways to get the most out of the software," said Chris.

What's next: AI-native finance

What excites Chris the most isn’t what’s been done, but where Aleph is heading. The manual-to-strategic shift the team has been making is now being accelerated by AI features that remove the last remaining bottlenecks between raw data and real insight.

Conversational querying lets the team ask questions in plain language and get answers without writing formulas or building new tables.

AI agents and co-pilots compress work that used to take hours into minutes, giving their team back time for stakeholder communication and strategic support.

The ability to speed up the creation of dashboards and reports using plain language queries can now be automated. We get back to doing the thing that matters: stakeholder communication and decision-making support.

Chris Brubaker

SVP of Finance

From sole finance hire to $100M+ ARR: Building a finance org that scales

The challenge

The turning point

How Postscript’s finance team operates today

What's next: AI-native finance

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