VP of Software Engineering

Sapio Sciences

9d•Remote

About The Position

Sapio Sciences is on a mission to accelerate scientific discovery and high-throughput clinical and diagnostic services. We bring together scientists, engineers, and industry specialists to build a unified lab informatics platform that helps organisations move faster, work smarter, and generate deeper insight from their data. Artificial intelligence is central to how we innovate and operate. Within our platform, AI enhances how laboratories structure, interpret, and act on scientific data. Across our business, we apply AI thoughtfully to improve efficiency, scalability, and decision-making. It is not an add-on or future ambition. It is embedded in how we build, deliver, and continuously improve. Our platform unifies ELN, LIMS, and scientific data management within a highly configurable environment. Scientists, laboratory professionals, and bioinformaticians rely on Sapio to manage end-to-end laboratory operations, from instrument integration and experiment setup to sample management, data analysis, and reporting. We design solutions that are powerful yet practical, enabling teams to focus on science rather than systems. Our EMBRACE values guide how we work and grow together. We take ownership of our outcomes, collaborate openly across functions and geographies, and remain curious about how science and technology can evolve. We are accountable to each other and to our customers, and we measure our success by the real-world impact our platform enables. Working at Sapio means being part of a lean, growth-focused team where ownership is expected and progress matters. We value colleagues who are motivated by impact and comfortable operating in an evolving environment. At Sapio, you will work alongside people who care deeply about advancing drug discovery, improving the world and reducing suffering. Ideas are encouraged, initiative is recognised, and professional growth is supported. As a scale-up, we move with pace and purpose, balancing innovation with responsibility. We partner with laboratories around the world, from emerging biotech companies to global pharmaceutical and diagnostics organisations, who trust Sapio to deliver intelligent, science-aware solutions that support discovery, development, and diagnostics.

Requirements

A strong technical foundation, having started your career as a software engineer before progressing into senior engineering leadership roles
Proven experience leading engineering organisations within SaaS scale-ups, ideally within private equity-backed or high-growth environments
Act as a credible and compelling technical ambassador for Sapio, confidently engaging customers, partners, and prospects to articulate our engineering vision, product roadmap, and platform direction with clarity and authority.
Demonstrated ability to operate effectively between executive leadership and hands-on engineering teams, acting as a trusted translator between business strategy and technical execution
Experience leading well-established engineering teams, who are product SMEs
A pragmatic and measured leadership style, with the ability to build on existing strengths while thoughtfully evolving engineering maturity
Strong understanding of modern software architecture, cloud-native platforms, and scalable enterprise software development
Experience balancing long-term technical strategy with near-term delivery commitments
Exceptional stakeholder management skills, including comfort working directly with board-level and executive leadership
A leadership approach that emphasizes coaching, mentorship, and empowerment, complemented by the ability to provide decisive, direct management when context and urgency require it.
Genuine enthusiasm for building technology that delivers meaningful real-world impact

Nice To Haves

Experience working with low-code / no-code platforms or highly configurable enterprise software products
Exposure to AI/machine learning-enabled product development or data-driven platform ecosystems
Experience working in regulated or scientifically complex domains such as life sciences, healthcare, or laboratory informatics
Familiarity with LIMS, ELN, or broader scientific data management platforms
Experience supporting post-investment growth within private equity environments
Background working within customer-driven product organisations where engineering teams collaborate closely with commercial and delivery functions
Experience helping organisations scale internationally across multiple regions and time zones

Responsibilities

Partner closely with the CEO and executive leadership team to shape and execute engineering strategy aligned to Sapioâ€™s product and commercial growth plans
Provide leadership and mentorship across engineering managers, technical leads, and senior engineers, helping develop future leaders within the organisation
Guide architectural direction and technical decision-making to ensure platform scalability, maintainability, and long-term product integrity
Provide structured oversight of engineering delivery, including resource planning, prioritisation, release planning, and timeline management to ensure predictable, high-quality execution.
Help mature engineering processes, delivery predictability, and operational excellence while maintaining the agility expected within a scale-up environment
Collaborate cross-functionally with Product, AI, Solutions, and Commercial teams to ensure engineering outcomes are aligned with customer and market needs
Support the continued evolution of our low-code / no-code platform and integration of AI-driven capabilities into our product ecosystem
Strengthen engineering governance, quality standards, and security posture as the organisation continues to scale globally
Provide executive-level technical insight to support business planning, investment decisions, and organisational growth
Champion a collaborative, transparent engineering culture that balances innovation with accountability
Ensure engineering teams remain focused on delivering measurable customer value rather than purely technical output