Congratulations, you've secured funding for the next phase of growth, and now have the capital to power your technology roadmap!
It is common for post-funding scaling failing more often on people and process than on technology. This guide covers how CTOs can build resilient engineering cultures, measure real productivity, adopt AI without hype, and prepare for investor scrutiny — drawn from Codurance's experience across hundreds of client engagements.
Scaling a technology company after funding is both an exciting and daunting challenge. According to Deloitte's 2023 research on scaleup growth, more than 80% of startups and scaleups fail due to obstacles in scaling their product; not building it.
For CTOs and technology leaders, managing rapid expansion while keeping product and engineering excellence aligned to business goals requires deliberate, strategic execution rather than reactive firefighting.
This article draws on Codurance's experience across hundreds of customer projects and direct conversations with C-suite technology leaders, offering a practical guide to scaling your business, removing operational bottlenecks, and building engineering teams that stay aligned with where the business is heading.
Technical challenges often have clear solutions, but scaling teams and maintaining organisational culture is far more complex. One of the biggest challenges for CTOs in high-growth companies is hiring and retaining the right engineers and technology leaders. Beyond technical expertise, hiring for adaptability, problem-solving ability, and alignment with company culture is key.
As teams scale, maintaining a strong engineering culture becomes a leadership priority. Ensuring knowledge-sharing, collaboration, and clear technical direction requires structured onboarding, well-defined career paths, and leadership that nurtures both autonomy and alignment. A ‘brilliant jerk’ (someone who delivers technical results but disrupts team morale) can be a major risk. Technology leaders must prioritise collaboration and psychological safety to sustain long-term success.
Read how we supported Spektrix with building a successful engineering culture through rapid growth.
As an organisation grows, CTOs must implement frameworks to measure performance without stifling innovation. Engineering productivity should be evaluated using meaningful metrics such as cycle time, deployment frequency, and defect rates, rather than simplistic output measures. Balancing speed and quality in product delivery is critical to sustaining growth.
During growth phases, the need for urgency, accountability, and high performance in scaling businesses is essential and establishing a culture where engineering teams embrace ownership, optimise for impact, and continuously improve can drive sustained success.
Take an in-depth look at the methods and frameworks Codurance recommends to measure software engineering productivity.
Scaling companies often focus on execution and problem-solving, but celebrating milestones is just as important. A high-performance engineering culture should include structured recognition for both individual and team achievements. Leaders should create a ‘buffet’ of celebratory moments, from regular informal team wins via kudos channels and employee experience platforms, to company-wide recognition events.
Equally important is transparency during challenges. CTOs should be proactive in communicating issues, whether technical debt, performance bottlenecks, or hiring gaps. Transparency builds trust across teams and with stakeholders, particularly when undergoing Technical Due Diligence.
For scaleups expanding into new markets, CTOs must manage an evolving set of technical and operational challenges. Different regulatory requirements, data compliance laws, and infrastructure needs can impact technical strategy. Managing distributed teams across time zones and cultural differences further complicates scaling efforts. Leaders must establish clear frameworks for communication, decision-making, and technical governance to ensure alignment across global teams.
Read how Codurance supported eClinicalWorks modernise their global healthcare platform across 3 timezones and continents.
AI and automation have become central to scaling businesses, but CTOs must approach AI adoption strategically. AI should not be implemented for its own sake—rather, it should address real business problems, such as improving engineering efficiency, automating repetitive processes, or enhancing customer experiences.
A common pitfall is overcommitting to AI on the product roadmap to satisfy stakeholders. Instead, ring-fence a small budget for AI experimentation while prioritising core business objectives. Investors recognise the value of AI, but they are more interested in clear, pragmatic implementations that enhance the company’s scalability and profitability. Read our ebook on Leveraging Data and AI for Business Impact.
Many CTOs assume a five-year exit plan, but in reality, execution of the strategy aligned to improving the product often compresses into three years. Private Equity firms and investors tend to focus more on commercial due diligence than deep technical audits. CTOs must ensure that the technology stack supports business growth, scalability, and operational efficiency. Having a clear vision of the product’s future state and demonstrating its commercial viability is key to attracting investment and acquisition interest.
Discover how we work with PE firms and their portfolio companies across the full investment lifecycle, from pre-acquisition technical & AI due diligence through to value creation delivery and exit readiness.
Scaling successfully is not just about growing the engineering function—it’s about forging strong relationships between technology and business teams. CTOs must be adept at communicating with non-technical stakeholders, including investors, sales leaders, and operational teams. Developing this cross-functional collaboration ensures technical decisions align with business strategy.
Encouraging engineers to engage directly with end-users and business teams also drives better product development. By connecting engineers with real-world challenges, teams can build solutions that address customer needs more effectively while maintaining motivation and a sense of impact.
For CTOs and technology leaders, scaling success is about people, processes, and strategic decision-making. From hiring the right engineers to integrating AI effectively and navigating global expansion, each decision shapes the company’s growth trajectory.
By leveraging insights from those who have navigated high-growth scaling before, CTOs can better prepare for the road ahead—balancing innovation with operational excellence to drive long-term success.
At Codurance, we support CTOs and their boards and investors through:
If you'd like to find out more, get in touch with us today.
The hardest part is usually people, not technology. Hiring engineers and leaders who combine technical skill with adaptability and cultural fit, then retaining them through rapid change, is consistently harder than solving technical or infrastructure problems.
Focus on outcome-based metrics rather than raw output. Common frameworks track cycle time, deployment frequency, and defect rates — these reflect delivery speed and quality together, rather than rewarding volume alone.
A 'brilliant jerk' is a high-performing engineer whose technical output is strong but whose behaviour damages team morale, trust, or collaboration. Left unmanaged, this dynamic is a common cause of engineering culture breakdown during scaling.
AI should solve a specific business problem like improving engineering efficiency, automating repetitive work, or improving customer experience; rather than being added to a roadmap to satisfy stakeholder expectations. A better approach is ringfencing a small experimentation budget while keeping core business priorities central.
Many CTOs plan around a five-year horizon, but in practice execution often compresses into roughly three years. Investors and PE firms typically weigh commercial due diligence more heavily than deep technical audits, so demonstrating commercial viability matters as much as technical soundness.
Strong alignment comes from direct collaboration, connecting engineers with non-technical stakeholders and end users, rather than routing all context through management layers. This keeps technical decisions grounded in real business and customer needs.
Natalie Gray is Director of Marketing & Growth at Codurance, a global AI-first software engineering consultancy that supports businesses and their investors to drive value through building and modernising sustainable software and platforms at all stages of the investment lifecycle. With more than 20 years in the tech industry, Natalie believes the power to innovate is accelerated when people are able to try new ideas, fail fast and collaborate. This is why, to her, community is at the heart of her approach to aligning business and technology outcomes. Outside of her commercial role, Natalie runs a number of tech meetups, is an advocate for women in tech and enjoys spending time with her family or protecting her 800 day streak on Duolingo.