Securing Your Engineering Budget in 2023: Planning During Macroeconomic Change

26 Sept 2022 · 5 min
5:27

In this interview, Assam (formerly of Personal Capital, now part of Empower) walks through how budgeting evolves as a tech company moves through three lifecycle stages: startup, growth, and enterprise (post‑acquisition). In the startup phase, budgeting is informal and driven by a race to product‑market fit, with little regard for detailed financial models. During growth, the company adopts formal financial modeling, regular budgeting cycles, and must justify spend, especially on non‑functional requirements (NFRs) such as scaling, security, CI/CD, and developer productivity. Assam explains that they committed to allocating roughly 20% of engineering capacity to NFRs and used the tool Jellyfish to track and demonstrate this spend to product and business stakeholders, turning the allocation into a measurable accountability metric. In the enterprise stage, after acquisition by Empower, the focus shifts to reliability, predictability, and delivering on promised outcomes, making the budgeting process heavier and more rigorous. The conversation also touches on the distinction between pre‑acquisition planning (scoping known work) and post‑acquisition execution (rapidly allocating resources). Overall, the interview provides practical insights into budgeting strategy, accountability mechanisms, and tool adoption across a company’s growth trajectory.

Chapters

More from Pamela

youtube.com

Key insights from the 2026 State of Engineering Management Report

5mo ago
youtube.com

Key insights from the 2026 State of Engineering Management Report

5mo ago
youtube.com

Reactions to the 2026 State of Engineering Management Report findings

5mo ago
youtube.com

How has AI changed the structure of your team?

5mo ago
youtube.com

68% say AI enhances efficiency. But only 10% report strong AI enablement. More trends on May 7.

5mo ago
youtube.com

68% say AI enhances efficiency. But only 10% report strong AI enablement. More trends on May 7.

5mo ago
youtube.com

AI flags expensive AWS instances - CodeRabbit's Sahil Bansal shares example

5mo ago
youtube.com

AI written code has 40% more bugs - CodeRabbit analysis

5mo ago
youtube.com

Why AI shouldn't self-grade code - CodeRabbit's Sahil Bansal weighs in

5mo ago
youtube.com

Introducing Jellyfish Data Hub: Flexible, Curated Engineering Insights

5mo ago
youtube.com

What is the biggest mistake companies are making right now with AI adoption?

5mo ago
See all content