Vice President of Software Engineering

Talogy is a company that focuses on delivering a comprehensive product portfolio through its engineering organization. The Vice President of Software Engineering will lead the engineering strategy, collaborate with senior stakeholders, and ensure that technology capabilities align with market needs, while also advancing the use of AI within the organization.

Responsibilities:

• Serve as the definitive technical decision-maker for Talogy’s engineering organisation — owning architectural direction, resolving technical trade-offs, and setting the standards by which all engineering work is evaluated
• Lead the Architectural Review Board with authority: evaluate and challenge architectural proposals, enforce consistency and scalability standards across all products, and ensure technical debt is actively managed and quantified
• Define and govern Talogy’s cloud infrastructure strategy (AWS, Azure, or GCP), including multi-tenant architecture, data isolation, platform reliability, and disaster recovery posture
• Own Talogy’s security engineering posture — including application security, secrets management, vulnerability management programmes, and compliance with SOC 2, GDPR, and relevant data protection frameworks
• Drive platform and integration architecture decisions across Talogy’s fragmented, acquisition-heavy tooling estate, bringing coherence to a complex multi-system environment
• Evaluate build vs. buy decisions with rigour — producing structured analysis on make-or-buy trade-offs, vendor selection, and technical partner assessments
• Define and lead Talogy’s AI engineering strategy — spanning both the use of AI to accelerate engineering productivity and the responsible integration of AI capabilities into Talogy’s products and assessments
• Establish a practical AI adoption roadmap: evaluate LLM/ML tooling, agentic frameworks, and AI-assisted development platforms; pilot responsibly; scale what works
• Ensure AI product features meet the ethical, legal, and regulatory expectations of an IO psychology and talent management context — including fairness, bias evaluation, explainability, and data governance
• Keep Talogy’s engineering teams ahead of the curve on applied AI — from code generation and test automation to AI-native product features and assessment intelligence
• Lead, develop, and scale a geographically distributed engineering organisation spanning the US, UK, India, and other locations — setting a high bar for technical craft, delivery discipline, and team culture
• Recruit, retain, and grow senior engineering talent; lead a hiring bar that reflects the technical ambition of the organisation and establish career ladders that differentiate individual contributors from engineering managers
• Own engineering performance management end-to-end — establishing clear engineering metrics (deployment frequency, MTTR, lead time, reliability SLAs) and using them to drive accountability and improvement
• Create a culture of engineering excellence: code review rigour, documentation standards, testing philosophy, incident response maturity, and continuous learning
• Serve as the senior escalation point for major technical incidents — leading post-mortems, driving systemic remediation, and communicating clearly to the CTPO and wider leadership
• Work in close partnership with the CTPO to operationalise the technology roadmap — owning engineering execution against strategic priorities and ensuring delivery keeps pace with product ambition
• Build trusted relationships with product, R&D, sales, and customer success leaders — ensuring technology is a competitive enabler and that engineering priorities are well understood across the business
• Communicate effectively with senior leaders to align on strategic priorities, resource needs, and long-term technology investments
• Build strong relationships with key stakeholders to deepen understanding of Talogy’s business, product visions, and customer needs
• Oversee and continuously improve Talogy’s software delivery engine — including CI/CD pipelines, release management, deployment practices, observability, and incident management
• Champion Agile and DevSecOps practices across teams, ensuring engineering processes are lean, high-trust, and calibrated to the pace of the business
• Drive measurable improvement across DORA metrics and reliability targets; hold teams accountable to uptime SLAs and clear SLO definitions for all customer-facing products
• Identify and systematically eliminate engineering bottlenecks — from dependency bloat and test coverage gaps to deployment friction and inefficient on-call rotations
• Ensure development and deployment practices follow established standards and support reliable, secure, and scalable product delivery
• Co-develop the annual engineering budget and multi-year technology investment plan with the CTPO — translating engineering needs into financial terms that resonate with senior leadership
• Contribute to M&A technical due diligence: evaluate engineering organisations, technical debt, and platform compatibility as Talogy continues to grow through acquisition
• Create alignment between Talogy’s product vision, engineering strategy, and R&D initiatives
• Share ideas and foster knowledge exchange across development teams, creating opportunities for collaboration and innovation

Requirements:

• 15+ years of software engineering experience, with at least 5 years in senior engineering leadership (Director, VP, or equivalent) at a B2B SaaS or enterprise software company
• Deep, hands-on background in backend systems, distributed architectures, and cloud-native platforms — able to credibly review design documents, challenge engineers on technical choices, and identify architectural risk
• Demonstrated proficiency in modern programming languages and frameworks (e.g., Python, Java, C#, Node.js, Go) — not expected to write production code daily, but must be technically fluent enough to evaluate quality, complexity, and risk
• Strong command of cloud infrastructure (AWS, Azure, or GCP) — including compute, storage, networking, identity, observability tooling, and cost management
• Proven experience owning CI/CD, DevSecOps, and modern delivery practices at scale — including IaC, containerisation (Docker/Kubernetes), blue-green or canary deployments, and automated quality gates
• Hands-on experience with data architecture, APIs, and integration patterns — particularly relevant given Talogy's multi-platform, acquisition-heavy environment
• Direct experience with security engineering: application security frameworks (OWASP), secrets management, penetration testing programmes, and compliance regimes (SOC 2, GDPR, ISO 27001)
• Significant experience in a senior engineering leadership role within an enterprise-scale cloud environment
• Demonstrated success building and scaling engineering organisations across multiple geographies and time zones, including managing offshore development teams and third-party engineering partners
• Experience leading engineering through significant organisational complexity — M&A integration, platform consolidation, or rapid headcount scaling
• Track record of attracting and retaining exceptional senior engineering talent; strong communication skills, with the ability to translate complex technical concepts for senior leadership and cross-functional stakeholders
• Practical, hands-on experience with AI/ML integration in production software products — including LLM APIs, vector databases, retrieval-augmented generation, or ML model pipelines
• Familiarity with integrating AI or machine-learning capabilities into software products, including an understanding of responsible AI principles, data considerations, and ethical implications
• Ability to cut through AI hype: evaluate vendor claims critically, identify where AI creates genuine value, and make pragmatic adoption decisions
• Demonstrated ability to use metrics and data to drive decision-making, operational improvements, and measurable outcomes
• Experience creating and executing comprehensive action plans that support organisational growth, technical maturity, and delivery excellence
• Background in B2B SaaS companies serving enterprise clients, particularly those with complex compliance, data residency, or security requirements
• Prior involvement in technical due diligence or post-merger engineering integration in a PE-backed, acquisitive environment is a strong differentiator