Alexander Iskrenov
CTO | Director of Engineering | SaaS Product Leader
А commercial technologist: aligning technology with P&L and execution.
For 20 years, I've built SaaS platforms and scaled engineering teams across telco, fintech, security, gaming, insurtech, retail and healthtech. Today I help organizations turn AI from experiment into commercial capability—bridging the executive board and the engineering floor, and translating complex technical challenges into predictable delivery, scalable architecture and measurable P&L growth.
Impact: By The Numbers
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SaaS Platforms
Built from zero to market in under 12 months each.
$0M+
Revenue
First-year revenue generated per product with 85%+ customer retention.
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Engineers
Scaled and led cross-functional teams across Australia, Europe, the US, and Asia.
$0M
Budgets
Managed extensive R&D budgets, P&L and vendor lifecycles—including AI vendor and model-provider strategy.
Capabilities: How I Help Organizations
AI as a Commercial Capability
I help organizations turn AI from experiment into commercial capability—a tiered rollout across engineering, internal operations and revenue-generating product, paired with responsible-AI governance and change management. I am pragmatic by default: if AI does not cut operational friction or open revenue, I will say so.
Platform Turnarounds
I rebuild legacy systems to unblock growth and reduce operational burn. By proving which parts of the codebase actually drive revenue, I enable clean-slate rebuilds without disrupting the business—slashing run costs, unblocking compliance (ISO 27001) and opening enterprise and government markets.
0-to-1 Product Builds & M&A-Ready IP
I build platforms from the ground up with the endgame in mind. Whether the target is rapid market capture or a successful acquisition, I deliver clean IP, standard stacks and an architecture that passes rigorous acquirer audits from day one.
Fractional Technology Leadership
I act as a strategic partner for early-stage ventures with strong market ideas but weak technical execution. As a player-coach, I professionalize engineering, compliance and security without killing the velocity a startup needs—delivering production-ready products for client demos, investor pitches and audits.
Scaling Engineering Organizations
I scale engineering organizations by building a strong core and guiding teams through the forming–storming–norming–performing lifecycle. By establishing extreme ownership ("you build it, you run it"), I empower engineers and produce measurable gains in velocity, on-time delivery and staff retention.
Board & Executive Communication
I bridge the gap between R&D and the executive board. At board level, no one asks about the how—they care about the why. I translate technical propositions into business impact, risk and ROI, giving stakeholders the confidence to back the technical direction.
How I Execute
Domain agnostic, with an AI-first mindset for process optimization and rapid product delivery.
Pragmatic Technology Choices
Stacks are matched to the problem: predictability-first for regulated domains, velocity-first for consumer and early-stage, data-first where ML and analytics lead the work. Technology serves P&L, not the other way around.
AI-Accelerated Execution
AI-assisted development to compress delivery cycles, AI in the pipeline to free engineers for revenue work, and AI/ML embedded in products where it creates genuine commercial value—all under responsible-AI and human-in-the-loop governance.
Resilient Infrastructure
Extensive experience across multi-cloud (AWS, Azure, GCP). I design for vendor independence to protect unit economics and operational uptime—a discipline that now extends to AI vendors and model providers.
Leadership Philosophy
Business First, Technology Second.
Technology is a lever to achieve business goals, not an end in itself. Every architectural decision must map directly to P&L, customer retention, or risk mitigation.
Walk Before You Sprint.
Whether scaling a team or building a new product feature, foundational stability is paramount. We establish a strong core, prove the value, and then accelerate growth.
Extreme Ownership.
Teams thrive when they are empowered to own their outcomes. Fostering an environment where engineers own the full lifecycle of their code builds stronger platforms and more resilient teams.
Not Every Company Needs AI.
AI is a commercial lever, not a feature. I apply it where it cuts operational friction or opens revenue—and I am the first to say when it doesn't belong. Hype rarely survives the audit; outcomes do.
Let's connect
Whether you need to rescue a struggling platform, prepare for an M&A audit, roll out AI across your organization, or scale your engineering team, I'm open to discussing how I can add value.
Location
Sydney, Australia
Open to Remote & Hybrid engagements
Response Time
I review all messages personally and aim to respond within 24 hours to schedule a discovery call.