• Serve as the owner of Pluralsight’s expert point of view which forms the foundation of these offerings. • Design solution products to scope the offering, its audience, problem it addresses, business outcome it enables, structure, and milestones. • Identify frameworks, messaging, courses, hands-on labs, and program management needed to deliver successful customer outcomes. • Maintain and communicate a 12–18 month roadmap related to your solutions, including new levels, variants, and accelerators tied to market shifts in AI. • Systematically test and iterate solution design using experiments and data. • Be responsible for solution‑level benchmarks including pipeline, win rate, adoption, and cohort completion / outcome metrics. • Partner with Sales on opportunity strategy, referenceable customer logos, and driven plays. • Continuously monitor and interpret changes in technical expertise. • Identify, engage, and work with SMEs, translating complex technical knowledge into accessible, high-quality learning experiences. • Represent your solutions area with executive presence and credibility. • Actively engage internal collaborators, enterprise customers, SMEs, and industry audiences to build trust and drive alignment.

• AI is central to 360Learning's strategy: our AI Squad ships agentic features that help users discover, create, and administrate content. • Build a global view of our codebase and architecture (Pydantic AI, FastAPI, Azure OpenAI, ElasticSearch) • Contribute meaningfully to an existing feature, hands-on • Coach our team of AI Engineers (2 today, growing) • Own end-to-end delivery of a new AI feature, from technical design through production launch • Optimize for real-world constraints: reduce per-request cost, improve latency, and scale to handle usage spikes • Set the technical direction for AI features alongside the PM's product vision • Push technical innovation within the squad and across R&D (e.g. hackathons, transversal initiatives) while keeping roughly 80% hands-on and ~20% on coaching and management

• Own the strategic direction of complex Paid Search setups and international client accounts • Develop and evolve cross-channel Paid Search and full-funnel strategies • Lead and prioritize operational initiatives with a clear focus on impact, scalability, and sustainability • Establish and continuously improve a strong testing and learning culture within Paid Search – including clear hypotheses, structured testing, and systematic derivation of insights • Ensure that new ideas, formats, and platform features are continuously evaluated, tested, and refined • Provide strategic consulting at eye level – including close collaboration and sparring with clients and internal stakeholders • Take functional leadership of the entire international SEA / Paid Search team: methodologies, standards, quality, and development • Enable, mentor, and support team members in their day-to-day operational work • Lead pitches, client presentations, and internal knowledge-sharing formats

Role Description Support technical due diligence and transition readiness by using AI-assisted software engineering methods to understand complex codebases, reconstruct dependencies, diagnose builds, accelerate documentation, and improve handover readiness in enterprise cloud and platform environments. A core objective of the role is to help analyse and evolve a cloud software stack derived from OpenStack, including its service decomposition, control-plane components, interfaces, and build structure. This position targets repository-scale code understanding, dependency discovery, build and compile diagnosis, technical documentation generation, and AI-assisted support for software handover activities in an enterprise setting. The candidate should be comfortable working with a modular cloud platform architecture based on OpenStack-style services and surrounding infrastructure components. Key Responsibilities - Analyse large software repositories to map services, dependencies, interfaces, build flows, and technical risks relevant to technical due diligence. - Reconstruct the architecture of a cloud software stack derived from OpenStack, including key service boundaries, integration points, APIs, and operational dependencies. - Use AI coding agents and structured prompting patterns to accelerate code understanding, reverse engineering, and documentation generation across large codebases. - Support build-log diagnosis, compile issue triage, and reproducibility analysis across CI/CD pipelines and container-based delivery environments. - Produce structured handover artefacts including architecture summaries, dependency maps, code quality observations, and readiness assessments for receiving engineering teams. - Work closely with software architecture, DevOps, testing, and security specialists to convert AI-assisted insights into actionable engineering outputs. Examples of Market Tools and Models Expected - AI coding environments such as Windsurf, Cursor, Claude Code, or VS Code-based AI extensions for large-repository engineering workflows. - Frontier coding models such as Anthropic Claude Opus-class models and newer, high-capability coding models used through enterprise-approved interfaces or bring-your-own-key setups. - Supporting engineering tools such as GitHub Enterprise, GitLab, Jenkins, ArgoCD, Helm, Docker, Kubernetes, and terminal-native automation workflows. - Familiarity with OpenStack-oriented cloud software environments and adjacent components such as Nova, Neutron, Cinder, Keystone, Glance, and Kubernetes integration patterns is highly valuable. Qualifications - 5+ years in software engineering, platform engineering, or DevOps-oriented development roles, with recent hands-on work on LLM-enabled engineering workflows preferred. - Strong coding skills in Python plus experience in at least one systems or backend language such as Java, Go, C, C++, or Rust. - Solid understanding of Git, CI/CD, container builds, Kubernetes-based delivery, and software architecture analysis. - Experience with codebase exploration, reverse engineering, technical debt identification, and engineering documentation in complex environments. - Good working knowledge of cloud platform architectures derived from OpenStack, including modular service design and multi-component integration patterns, is strongly preferred. - Comfortable working in high-accountability enterprise settings with strong expectations on confidentiality, evidence quality, and structured deliverables. Additional Information - You will be working in the European Union to meet our customers' data security and privacy requirements. - Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.