Sabio

Security Operations

• Monitor, triage and investigate security alerts across our internal estate and customer-operated solutions — covering cloud, identity, endpoint, network, application and AI workloads.
• Drive incidents end-to-end: scoping, containment, eradication, recovery and post-incident review, working to clearly defined SLAs and rules of engagement.
• Produce high-quality incident write-ups and lessons-learned for both technical and executive audiences, and feed findings back into detections, runbooks and engineering backlogs.
• Act as an escalation point for first-line alerts and partner with on-call engineering when an incident crosses into platform reliability or customer impact.
• Develop and execute hypothesis-driven threat hunts across cloud telemetry, identity signals, endpoint data and application logs — looking for what alerts won’t catch.
• Map adversary behaviour to frameworks such as MITRE ATT&CK, and turn confirmed findings into durable detections, dashboards and automated playbooks.
• Track emerging threats, CVEs and threat-actor TTPs relevant to our stack and customer base, and translate them into concrete hunts and detections.
• Partner with our Red Team and AI Ethics functions on purple-team exercises to validate and improve coverage.
• Build, tune and maintain detections in our SIEM and XDR tooling (e.g. Microsoft Sentinel, Defender XDR), keeping a tight handle on signal-to-noise.
• Develop SOAR playbooks and enrichment pipelines that turn one-off investigations into repeatable, measured workflows.
• Use AI and agentic workflows as a force amplifier on day-to-day SOC work — triage summarisation, log analysis, hypothesis generation, drafting reports and playbooks.
• Help shape how we monitor and defend the AI services we operate — LLM workloads, RAG pipelines, agent integrations — alongside our AI Ethics and engineering teams.
• Stay close to evolving guidance on AI security (e.g. OWASP Top 10 for LLMs, NIST AI RMF) and translate it into practical monitoring, detection and response patterns.
• Operate detections and investigations across cloud workloads — primarily Microsoft 365 and Azure, with meaningful coverage of AWS and GCP and the wider enterprise IT stack.
• Work closely with platform engineering and SRE teams on misconfiguration, exposure and identity hygiene — not just incidents.
• Work alongside the Head of Information Security, Red Team, AI Ethics leads, platform engineering and product teams to embed defensive thinking early.
• Partner with customer-facing teams when incidents or hunts touch the solutions we operate on behalf of customers — with care for production stability, customer data and contractual obligations.
• Contribute to runbooks, detection libraries, threat-intel notes and post-incident reviews so the whole team gets better with every engagement.
• Operate within strict rules of engagement and a strong ethical compass around evidence handling, privacy and disclosure.

Security Operations Centre Analyst

Security Engineer

• Plan and execute red team engagements, penetration tests and adversary simulations against our platforms, products and corporate environment.
• Identify, exploit and document vulnerabilities across web applications, APIs, cloud infrastructure, identity systems and AI/LLM-based services.
• Develop realistic attack scenarios — initial access, privilege escalation, lateral movement, data exfiltration — mapped to frameworks such as MITRE ATT&CK.
• Build and maintain custom tooling, exploits and automation where off-the-shelf tools fall short.
• Leverage AI pen testing tooling and frameworks as a force amplifier within your role.
• Active, hands-on use of **AI-powered offensive security tooling** as a core part of your workflow — leveraging LLMs and agentic assistants to accelerate reconnaissance, exploit development, code review, payload generation and report writing.
• Familiarity with emerging **AI red-team frameworks and platforms** — e.g. PyRIT, Garak, Promptfoo, NVIDIA Aegis, Microsoft Counterfit, HackerOne / Bugcrowd AI testing toolkits, or equivalent — and a practical sense of when to use which.
• Experience building or extending **automated AI red-team harnesses**: prompt-injection test suites, jailbreak corpora, tool-abuse scenarios, multi-turn attack agents, and regression eval sets for LLM and agentic systems.
• Pragmatic judgement on the **limits and risks of AI-assisted offensive work** — hallucinated findings, false confidence, data leakage into third-party models — and the discipline to validate AI output before acting on it.
• Curiosity to keep pace with a fast-moving space: new models, new attack techniques, new defensive controls — and a willingness to bring those learnings back into the team.
• Probe LLM-powered and agentic systems for prompt injection, jailbreaks, tool/function-call abuse, context leakage, insecure output handling and supply-chain risks.
• Test RAG pipelines, knowledge bases and integrations for data exfiltration, poisoning and unauthorised access paths.
• Contribute to internal threat models for agentic architectures and help shape secure-by-default patterns for multi-agent and tool-using systems.
• Stay close to evolving standards and guidance (e.g. OWASP Top 10 for LLMs, NIST AI RMF, emerging agent interoperability protocols).
• Perform deep-dive security testing of cloud workloads across AWS, Azure and/or GCP — IAM, network, container, serverless and data-layer concerns.
• Review CI/CD pipelines, IaC (Terraform, CloudFormation, Bicep) and Kubernetes deployments for misconfigurations and exploitable weaknesses.
• Conduct source-assisted ("grey-box") testing — reading code to find logic flaws, authZ gaps and unsafe integrations.
• Triage findings, assign realistic severity, and write clear, reproducible reports with concrete remediation guidance.
• Partner with engineering teams to validate fixes, advise on secure design and pair on hardening work — not just throw findings over the wall.
• Drive continuous improvement of detection coverage by working with the blue team / SOC on purple-team exercises.
• Build automation that turns one-off tests into repeatable, scheduled checks — exposure scanning, attack-path analysis, agent red-teaming harnesses.
• Integrate offensive testing into the SDLC: SAST/DAST/IAST, dependency scanning, secrets detection, container and IaC scanning.
• Treat evaluation and regression of security controls as a first-class deliverable — measured, not assumed.
• Work alongside the Head of Information Security, AI Ethics leads, platform engineering and product teams to embed security early.
• Produce clear design reviews, threat models, runbooks and post-engagement reports for both technical and executive audiences.
• Operate within strict rules of engagement, with care for production stability, customer data and legal/regulatory obligations.

Red Team Security Engineer

Human Resources

• Act as a strategic partner to European business leaders, shaping people plans that support organizational objectives.
• Coach and influence managers on leadership, performance, engagement, and capability development.
• Partner with global HR colleagues to localise and implement people initiatives across all regions.
• Be responsible to oversee the employee lifecycle including onboarding, offboarding, engagement and development, employee relations.
• Be responsible to issue offer letters and employment contracts across all our regions in Europe in line and being always respectful with our Sabio policies/benefits in each country.
• Lead on complex ER cases, ensuring fair, consistent, and legally compliant outcomes.
• Provide proactive guidance to managers on employee relations, absence management, and wellbeing. Manage, together with our People Administrator, the holiday tool by applying the relevant policy to employees in each country.
• Maintain up-to-date knowledge of European employment laws and advise on policy and practice.
• Deliver annual reward processes (salary reviews, bonus cycles) in collaboration with global Reward teams.
• Advise managers and employees on reward policies, benefits, and recognition frameworks.
• Monitor reward competitiveness through benchmarking and market insights.
• Embed performance management processes, ensuring objectives, feedback, and career development are consistently applied.
• Partner with Talent & Organizational Development colleagues to support succession planning and capability-building in Europe.
• Promote learning opportunities and support managers in developing team skills.
• Partner with leaders on organisational design, restructures, and change programmes.
• Provide HR support during periods of transformation, ensuring employee engagement and risk mitigation.
• Produce and interpret people dashboards, using data to highlight trends in attrition, engagement, performance, and workforce demographics.
• Use insights to influence leadership discussions and inform proactive HR actions.
• Partner with Finance and Operations to ensure workforce data supports broader business planning.
• Working closely with stakeholders to align HR strategies with business goals, supporting organizational changes, restructuring and DEI initiatives.

Senior HRBP

Project Manager

• Lead and manage projects through their entire project lifecycle
• Gaining a thorough understanding of the solution through to successful project planning, deployment, business/service acceptance and project completion, all to time, cost and quality
• Manage multiple projects with high levels of complexity based on a range of different technology applications and platforms
• Strong focus on financial and commercial management therefore a solid understanding of cost management processes
• Support client relationships during project delivery with strong communication
• Ensure agreed deployment schedule is met
• Collate work packages, project plans and presentations in support of pre-sales activities
• Build strong relationships with commercial teams to support future opportunities
• Demonstrate strong leadership and team building skills
• Report on project progress to the Sabio Programme Managers
• Contribute to the development of Sabio project and programme processes

Consultant

• Design relational database schemas, including normalised and analytical (star/snowflake) models.
• Build and maintain databases across platforms such as SQL Server, PostgreSQL and cloud data platforms (Azure SQL, AWS RDS, Snowflake, BigQuery).
• Write and optimise complex SQL, including stored procedures, functions, views and performance‑tuned queries.
• Develop ETL/ELT logic using SQL‑based approaches and frameworks.
• Work with ACD, IVR and routing datasets.
• Define and validate Contact Centre KPIs such as AHT, FCR, abandonment rate, SLA and occupancy.
• Support analytics use cases including outbound campaigns and bots.
• Apply Contact Centre domain knowledge, ideally including Genesys Cloud.
• Lead customer data health assessments covering:
• Data accuracy and completeness
• Missing and inconsistent data
• Standardisation and formatting
• Referential integrity
• Apply and communicate data governance principles clearly.
• Create analytics‑ready datasets for reporting and insight.
• Build KPIs, dashboards and reports using tools such as Power BI, Tableau or Looker.
• Diagnose and resolve issues in data pipelines and reports.
• Lead discovery sessions, data health checks and customer workshops.
• Translate business requirements into technical solutions.
• Communicate complex data concepts in simple, accessible language.
• Manage stakeholder expectations, timelines and dependencies.

Senior Data Consultant

Artificial Intelligence

• At Sabio Group, we're dedicated to fostering an environment where employees thrive. Since 1998, we've built a dynamic culture that is both challenging and fun, driven by a team of ambitious, knowledgeable individuals who are passionate about leading the CX revolution. We're seeking creative, resourceful people to join our fast-growing organisation, where you'll have the opportunity to develop your skills and contribute to a culture of continuous learning.****We work with some of the world’s largest organisations across various industries, delivering exceptional digital customer experiences through our unique blend of expertise, technology, and insight. As one of Europe’s fastest-growing providers of CX transformation solutions, we’re committed to sustainability, diversity, and inclusion, ensuring our workforce reflects the diverse society we serve. Join us and help shape the future of customer experience.****We are currently looking for a passionate and enthusiastic **AI Linguist **to join our Team****The **AI Linguist** will join our **customer service bot/AI agent** development team for **contact center environments**, contributing across the full project lifecycle: **requirements gathering, conversation design, development, unit & integration testing, deployment, and post‑production support**. You will craft user intents, dialogue flows, prompts/guardrails, and linguistic resources; train/evaluate NLU/LLM-based components; and continuously optimize performance, accuracy, and customer experience in Spanish (and other supported languages).

AI Linguist

Account Manager

• Assist in managing day-to-day interactions with key partners including Google and Cognigy.
• Support engagement with next tier and emerging technology partners such as ElevenLabs, Deepgram and OpenAI.
• Maintain an up to date understanding of partner roadmaps and programme requirements.
• Help prepare and run regular partner check-ins, QBRs, and pipeline reviews.
• Track actions, follow‑ups, and deadlines across multiple internal teams (Sales, AI Proposition, Marketing, Delivery).
• Ensure Sabio meets partner programme criteria such as certifications, reporting, and compliance.
• Support the creation of partner aligned collateral, pitch materials, and internal playbooks.
• Coordinate joint marketing activities, webinars, and partner supported campaigns working alongside Marketing.
• Share new partner capabilities and value propositions with the AI team and with Sales and Pre-Sales people.
• Help monitor partner performance including pipeline influence, deal registrations, and joint opportunities.
• Provide clear summaries and “ready to use” insights that help Sales position partner technologies effectively.
• Track competitive landscape updates and emerging innovations in AI, speech, and automation.