How OnHires Helped ABsmartly Scale Its SaaS Engineering Team
ABsmartly is a SaaS company providing a modern experimentation platform that enables product and engineering teams to run controlled experiments and manage feature flags with confidence. The platform supports data-driven decision-making and helps teams validate product hypotheses efficiently. As product adoption increased, ABsmartly needed to strengthen its engineering foundation to support performance, experimentation reliability, and scalable architecture.

Client:

ABsmartly
Industry:
Cloud & SaaS
Country:
Netherlands, Europe
Service:
Recruitment
Background
Experimentation platforms operate at the core of product decision-making. Reliability, performance, and clean architecture are essential when teams depend on accurate experiment results to drive product strategy.
ABsmartly was entering a stage where expanding engineering capacity became critical to maintain rapid product iteration while preserving system integrity. Hiring needed to support both technical excellence and alignment with a strong experimentation culture.
Challenges
When ABsmartly engaged OnHires, the company faced a competitive SaaS talent market in Amsterdam. Full stack developers with strong product thinking were in high demand, and experienced QA engineers capable of supporting experimentation-heavy systems were limited.
At the same time, the company was hiring across multiple seniority levels, from junior to senior engineers, which required clearly differentiated evaluation standards.
The hiring process had to ensure technical depth while preserving cultural alignment with a data-driven and experimentation-focused mindset.
High competition for experienced full stack developers in the Dutch SaaS ecosystem.
Simultaneous hiring across junior and senior engineering roles.
Need for QA expertise aligned with experimentation and feature flag systems.
Alignment between product leadership and engineering stakeholders during evaluation.
Requirement for structured hiring workflows to maintain consistency and speed.
Solution
OnHires implemented a recruitment approach centered around clarity, calibration, and execution discipline.
We began by defining role-specific success criteria for both junior and senior full stack developers, distinguishing growth potential from advanced system ownership capabilities. For the QA role, evaluation focused on automation practices, test reliability, and experimentation platform standards.
A targeted sourcing strategy was launched across the Netherlands and broader European talent markets. Weekly hiring operations ensured transparency, rapid feedback loops, and steady pipeline progression.
Recruiters experienced in SaaS and product-led engineering hiring.
Targeted sourcing within Amsterdam and European SaaS communities.
Calibrated scorecards tailored to experimentation-driven systems.
Dedicated hiring tracks for junior, senior, and QA roles.
Full-cycle recruitment ownership from sourcing through offer negotiation and onboarding.
Results
Through a structured and collaborative hiring process, OnHires helped ABsmartly expand its engineering team during a critical growth phase.
The refined hiring framework improved decision clarity and accelerated recruitment timelines while maintaining high technical standards.
3 engineering roles successfully closed across full stack and QA tracks.
51% faster time-to-hire compared to previous recruitment cycles.
Improved first-round pass rates through precise role calibration.
Stronger alignment between engineering execution and product experimentation goals.
Greater predictability across concurrent technical hiring processes.
Beyond immediate placements, the engagement helped ABsmartly build a more structured hiring framework that supports ongoing product scaling. Clear evaluation standards and aligned stakeholder communication reduced hiring friction and improved long-term efficiency.
Enhanced employer visibility within the SaaS talent market.
Sustainable pipeline for future experimentation-focused roles.
Foundation for continued collaboration on technical hiring.
This case demonstrates how structured executive search enables SaaS companies to scale engineering teams while preserving experimentation reliability, system integrity, and product velocity.
“OnHires helped us scale our engineering team efficiently while maintaining high technical standards. Their structured process brought clarity and speed to our hiring efforts.”
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Scaling your SaaS engineering team? Let’s design a hiring framework that supports experimentation, performance, and sustainable growth.
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