iProov

Product Manager

• Report to the Chief Product Officer
• Define and evolve the product vision, value proposition, and roadmap for iProov’s Workforce solution suite
• Be part of the leadership of a growing and high-performing product team
• Conduct deep discovery with enterprise customers, IT security leaders, and partners
• Translate user and business needs into clear product requirements
• Partner with commercial, marketing, channel and customer success teams
• Define and track key metrics for adoption, retention, performance, and customer satisfaction

Head of Product – Workforce Identity

Technical Project Manager

• Scope and drive delivery for experimental, first-of-a-kind innovation projects and Proof of Concepts.
• Provide hands-on prototyping support, including some software development moving beyond traditional project management to assist with technical implementation.
• Manage complex technical dependencies and logistics to enable rapid iteration during innovation trials.
• Collaborate closely with development and science teams to translate technical requirements into functional, trial-ready implementations.
• Deliver technical workstreams within large-scale projects as part of wider project teams.

Security Engineer

• Design and implement security controls for iOS applications and SDKs.
• Develop protections against reverse engineering, runtime manipulation, code injection, dynamic instrumentation, and application tampering.
• Implement and enhance jailbreak detection, application integrity validation, and runtime protection mechanisms.
• Design secure approaches for protecting sensitive data, cryptographic assets, and biometric-related workflows.
• Define and promote mobile security best practices across engineering teams.
• Research emerging mobile attack techniques targeting biometric identity verification systems, including runtime manipulation, device compromise, and application abuse.
• Evaluate, prototype, and implement Runtime Application Self-Protection (RASP) controls for iOS applications and SDKs.
• Assess the effectiveness of commercial and custom mobile protection technologies against evolving threats.
• Develop novel approaches to application integrity, runtime trust assessment, anti-tampering, anti-debugging, and anti-instrumentation controls.
• Investigate bypass techniques used by attackers and security researchers to identify gaps in existing protections.
• Perform security architecture reviews and code reviews.
• Assess security implications of new platform capabilities, third-party libraries, and architectural changes.
• Build security tooling, frameworks, and libraries that improve the security posture of iOS products.
• Contribute to security standards, design patterns, and technical guidance for mobile development teams.
• Participate in strategic security initiatives and long-term product security planning.

Senior iOS Security Engineer – ProdSec

Machine Learning Engineer

• Research, prototype, and evaluate new approaches to strengthen biometric security against both presentation attacks, such as masks, printed photos, and screen replays, and emerging threats such as face swaps, synthetic media, and injection attacks.
• Improve the accuracy, robustness, and performance of our biometric systems through experimentation, model development, and analysis of system weaknesses.
• Work closely with Data Engineers and Machine Learning Engineers to understand data challenges, investigate issues, and develop scalable solutions for biometric security.
• Help develop datasets, tools, and evaluation methods that support the testing and improvement of biometric systems.
• Proactively identify new attack patterns, failure modes, and opportunities to strengthen the resilience of our biometric systems.
• Stay up to date with developments in computer vision, machine learning, and biometric security, and apply relevant ideas to our products.
• Collaborate with engineers and researchers to share findings and bring new ideas into production.

ML Engineer – PAD

• Drive research projects in the areas of computer vision, machine learning and biometrics.
• Research new biometric systems and contribute to prototyping new products - by testing and integrating existing technologies or by designing a new solution.
• Develop and train deep learning models for face verification, liveness and attack detection.
• Improve upon data and evaluation strategies, including synthetic and adversarial data.
• Investigate failure modes and improve generalisation, robustness and fairness.
• Collaborate cross-functionally to turn models into production-quality services.

ML Engineer – CoreAI

DevOps Engineer

• Architect and deploy the secure technical framework that governs the security controls for how our developers and scientists use agentic AI, including AI coding assistants, autonomous agents, and LLM-integrated tooling.
• Given that these systems can autonomously access data, execute code, and interact with external services, the guardrails you design will need to address a substantially broader attack surface than traditional AI tooling, and must hold up in a context where the underlying data is among the most sensitive we handle.
• Be the primary technical security voice in decisions around the use and deployment of externally developed AI, ensuring the right controls are in place from the onset.
• Continuously mature automated security controls into CI/CD pipelines and infrastructure-as-code deployments, championing the DevSecOps culture across a large engineering organisation.
• Take hands-on ownership of our core security technology stack, including Wiz, CrowdStrike, Google SecOps, and Tailscale, ensuring these platforms are correctly configured, tuned, and integrated.
• Drive continuous technical delivery of strategic security initiatives, systematically identifying, triaging, and closing gaps across our cloud environments, internal networks, and developer workflows.
• Provide technical oversight of the security of the data pipelines feeding our internal AI systems and, critically, the permissions and access boundaries of agentic AI systems reaching out into other environments, enforcing the principle of least privilege, maintaining audit trails, and ensuring sensitive data and code integrity is handled with the rigour required.
• Complement the work of our existing biometric and product focused Red Team by owning security coverage of the DevSecOps surface, the build pipeline, internal toolchain, cloud environments and developer infrastructure.
• Act as the primary technical security partner to our GRC-focused InfoSec Manager, translating governance and compliance mandates into concrete, automated engineering controls.
• Represent the technical security function in external audits. This includes presenting evidence of controls, articulating the security posture of our cloud and AI environments to auditors, and working closely with the InfoSec Manager to ensure the technical substance behind our compliance position is clearly and credibly communicated.

Senior Security Engineer – AI, DevSecOps

Sales

• Recruit, onboard and activate high-potential channel partners, including resellers, system integrators, and strategic alliances to expand reach and drive new revenue.
• Manage and nurture relationships with existing channel partners to maximize sales of our biometric solutions.
• Develop and execute joint go-to-market business plans with partners to achieve revenue and growth targets.
• Own pipeline generation and partner-led bookings; track and meet/exceed partner-sourced revenue targets.
• Cultivate strong partner relationships from initial outreach through onboarding and activation.
• Deliver compelling presentations and proposals.
• Collaborate internally with product, marketing, legal, and sales to create partnership collateral, training, and support frameworks that drive partner performance.
• Monitor and analyse partner metrics (pipeline, conversion rates, bookings), using data to optimise recruitment strategies and partner performance.
• Stay abreast of industry and channel trends.
• Identify emerging opportunities or competitive threats to refine channel engagement tactics.
• Lead negotiations, draft agreements, define commercial terms, SPIFs, incentives, commercial models, and go-to-market commitments.
• Serve as the internal advocate for new channels, aligning cross-functional stakeholders around channel strategies and partner success.

Channel Sales Director, EMEA

Sales Operations Manager

• Build and own the sales enablement roadmap aligned to iProov’s go-to-market priorities.
• Partner with commercial leadership to identify capability gaps across the sales cycle, from discovery and qualification through to value articulation, objection handling and deal progression.
• Design and deliver onboarding for new joiners across sales and customer-facing revenue roles, helping reduce time to productivity.
• Create and maintain high-impact enablement assets including playbooks, sales plays, battlecards, talk tracks, call frameworks, discovery guides, competitive messaging and role-based learning paths.
• Translate complex technical propositions into clear, field-ready messaging that sales teams can use with confidence.
• Support product and solution launches by ensuring sellers are trained, equipped and ready ahead of release.
• Work with Product Marketing and Solutions Engineering to sharpen messaging for technical and executive buyers.
• Reinforce consistent sales methodology and operational discipline across the revenue organisation.
• Facilitate live training sessions, workshops, office hours, certification-style learning and ongoing reinforcement.
• Gather feedback from the field, inspect adoption, and continuously improve programmes based on what is and is not landing.
• Measure the impact of enablement through practical metrics such as ramp time, training completion, content usage, seller confidence, pipeline progression and win-rate influence.
• Support partner and channel readiness where appropriate, particularly where iProov’s routes to market require tighter alignment with external partners.

Sales Enablement Manager

• Own the architecture, reliability, and evolution of iProov’s cloud infrastructure, CI/CD pipelines, and deployment practices across GCP (primary), AWS, and Azure.
• Set and enforce engineering standards for infrastructure-as-code, GitOps, DevSecOps, and observability across the team and the wider engineering organisation.
• Lead the design and improvement of containerised deployment workflows using Docker, Kubernetes, and Helm.
• Own the CI/CD toolchain: ArgoCD, GitHub Actions, GitLab pipelines, and Azure DevOps pipelines — ensuring pipelines are fast, reliable, and fit for purpose.
• Drive secrets management, key management (GCP KMS, Azure Key Vault), and security integration into the delivery pipeline as a first-class concern.
• Identify and address tooling gaps across monitoring, alerting, observability, and incident response; own the on-call process, runbooks, escalation paths, and post-incident reviews.
• Directly manage 4 / 5 DevOps engineers: run consistent 1:1s, set clear individual goals, and hold the team to a high and consistent standard.
• Establish unambiguous ownership and accountability across the team — ensure every engineer knows what they own, what is expected of them, and how their performance is being assessed.
• Give feedback directly, specifically, and promptly — both when things go well and when they do not; never let performance issues drift or escalate without intervention.
• Actively develop each engineer’s skills and career; identify growth opportunities and stretch assignments that build capability without compromising delivery.
• Manage team dynamics with fairness and firmness; address interpersonal friction early and constructively, fostering a collaborative environment where all voices are heard and diverse perspectives are constructively managed.
• Act as the primary point of contact for DevOps matters in cross-functional planning, incident response, and infrastructure governance.
• Collaborate closely with the Engineering Manager, Core Platform to ensure platform reliability, deployment pipelines, and infrastructure tooling meet backend SLAs and product commitments.
• Partner with the VP to define the DevOps roadmap, manage infrastructure costs, and make build-vs-buy decisions on tooling.
• Represent the DevOps function in engineering-wide technical discussions and contribute to iProov’s broader platform strategy.
• Support the VP in headcount planning and hiring for future DevOps roles.