Industry Specialisation

SaaS & Cloud Leadership

Sercxi runs engaged executive search for C-level, VP and Director leadership in B2B SaaS and cloud platforms. We place CTOs, VPs of Engineering, VPs of Product, Heads of AI, Heads of Platform and CROs for Series B through post-IPO operators across Singapore, Amsterdam and Dubai. Engaged mandates only, never contingency.

8 in 10 still in role12-month retention
4–6wkTime to placement
7%First-year attrition

Engaged mandate · Partner-led · Confidential · Reply within 24 hours

Mandate Context

Built For

Boards, CEOs and CHROs at Series B through post-IPO B2B SaaS and cloud platform operators.

The SaaS operating model is being rewritten by inference economics, AI-native product expectations and platform consolidation. The CTOs and VP Engineering leaders who can run a P&L through that compression are scarce - and almost always already employed by a peer.

Typical Mandates
CTO, VP Engineering, VP Product, Head of AI, CRO
Sector Focus
B2B SaaS, cloud platforms, infra-tier products
Sector Focus
Series B → post-IPO
Engagement Model
Engaged retained · NDA available

The Market

The SaaS operating model is being rewritten

Companies that employed 500 engineers 18 months ago now ship with 25. This is not a trend - it is a structural rewrite of SaaS economics. The Great Compression is not just eliminating roles. It is creating an entirely new category of leadership: operators who understand that output-per-engineer, not headcount, determines competitive position.

AI-native products are replacing entire SaaS categories, not competing within them. The leaders who treat AI as a feature checkbox - “we added an AI assistant” - misunderstand the competitive reality. Meanwhile, the BeNeLux cloud talent landscape reveals a post-integration market where sovereign considerations increasingly influence SaaS architecture decisions.

Inference costs have restructured SaaS margins from every direction. The leaders who thrive here understand cost-per-active-user as the metric that determines survival. That financial fluency - applied to AI infrastructure - is the difference between a SaaS company that scales and one that bleeds margin.

"The compliance burden is not a tax on ambition. It is a filter. And the organisations that understand it are, right now, hiring candidates that competitors can no longer reach."

The Precision

Three signals that distinguish exceptional SaaS leaders

The SaaS leaders who win in the AI era share three specific forms of precision that traditional search processes aren't calibrated to find.

Output-Per-Engineer Thinking

The early-stage playbook - hire fast, ship fast, figure it out - breaks at scale. The SaaS leaders who win now have fundamentally different unit economics intuition. They measure output per engineer, not headcount. They build platforms that let small teams ship meaningful work continuously. They understand that adding twenty engineers to a broken architecture makes it slower, not faster.

IMPACT: Precision Under Ambiguity

AI as Platform, Not Feature

Every SaaS product now ships AI features. The leaders who treat this as a feature checkbox misunderstand the competitive reality. AI-native products are replacing entire SaaS categories, not competing within them. The signal we look for is whether someone understands this as a platform shift - whether they've restructured product strategy, team topology, and infrastructure around AI as the foundation.

IMPACT: Conviction Depth

Inference Economics Fluency

SaaS margins are under pressure from every direction. AI inference costs didn't decrease infrastructure spend - they restructured it. The leaders who thrive here understand inference cost trajectories, can optimise ruthlessly, and know that cost per active user is the metric that determines survival.

IMPACT: Accountability Architecture

How IMPACT Calibrates

What we weight differently for SaaS mandates

The IMPACT Framework's seven diagnostic questions apply to every search. For SaaS mandates, three dimensions carry disproportionate weight - because the velocity of the AI transition means wrong hires compound faster than in any other sector.

Conviction Depth - SaaS CTOs face relentless pressure to adopt every new AI capability. The leaders who create lasting value have the conviction to focus - to ship one transformative AI feature rather than twelve cosmetic ones. We assess whether candidates can defend a product vision against the noise of the AI hype cycle.

Precision Under Ambiguity - The SaaS-to-AI transition has no playbook. Unit economics, team topology, and product strategy are all being rewritten simultaneously. We probe whether candidates can make irreversible architectural decisions with 60% of the data - and whether those decisions have historically held up under market stress.

Accountability Architecture - In compressed SaaS teams, every engineering decision has immediate P&L impact. A wrong infrastructure choice doesn't just slow down a team - it destroys margin. We assess whether candidates understand their decisions' financial blast radius with the same precision they apply to their architectural decisions.

Who We Find

SaaS leadership for the AI era

These are the SaaS and cloud profile types our partners have placed across the Amsterdam–Singapore–Dubai corridor.

Sales

VP Sales / Head of Revenue

SaaS revenue leaders who understand AI-driven product economics. Built ARR engines from Series B through IPO. Navigate usage-based pricing, expansion revenue, and the shift from seat-based to outcome-based commercial models.

Sales

Head of Pre-Sales & Solutions

Technical sales leaders who bridge product capability and enterprise buyer requirements. Scope deployments, build POCs, and convert complex technical evaluations into closed revenue.

Delivery

VP Engineering

Led 20-person teams shipping like 200-person orgs. Maintained deployment velocity through rapid scaling. Built for resilience, not just uptime. Managed inference costs that don't destroy margin.

Delivery

Head of Platform Engineering

Built internal developer platforms that let application teams move fast. Created abstractions that turn months of deployment work into hours. Migrated legacy systems without customer-facing outage.

Product

VP Product

Established AI as competitive moat, not feature checklist. Shipped products customers choose because of AI. Balanced customer requests with strategic vision.

Product

Head of Growth & Product Marketing

Drives PLG and enterprise GTM for SaaS platforms. Owns positioning, competitive intelligence, and launch strategy - ensuring product-market fit translates into pipeline velocity.

Geographic Precision

Amsterdam · Singapore · Dubai: the SaaS leadership corridor

Three ecosystems. Complementary strengths. The arbitrage between EMEA's governance rigour, APAC's execution velocity, and GCC's infrastructure capital is where we find our edge.

01 --

Amsterdam

EMEA Precision & Governance

European SaaS leaders balancing technical depth with GDPR mastery and EU regulatory expertise. Ten years of dense cross-border networks.

02 --

Singapore

APAC Execution Velocity

High-velocity ecosystems with aggressive AI adoption. Regional HQ for companies expanding into the fastest-growing markets.

03 --

Dubai

GCC Capital & Infrastructure

Sovereign-backed technology platforms and regional AI infrastructure projects demanding SaaS leaders at the intersection of Gulf governance and global product velocity.

— FREQUENTLY ASKED

Common Questions

DIAGNOSTIC FRAMEWORK

Know What You're Missing Before You Brief.

The IMPACT Framework. Six dimensions that distinguish leaders who execute from those who present well. Used in every Sercxi assessment. Download the diagnostic.

No sequence. No newsletter. One document.

Scaling SaaS Needs Leadership That's Scaled Before.

VP Engineering and CTO placement for complexity-stage SaaS organisations.

Confidential · 30 minutes · Partner-led · No obligation

Three candidates, every one we would hire ourselves.

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