As the Director of AI Enablement, you will be a key executive leader, visionary, and the driving force behind the adoption and integration of cutting-edge AI technologies across Skai. Your mission is to head an engineering and innovation group that keeps the company at the absolute forefront of the AI revolution, systematically leveraging GenAI, automation, and agentic workflows to radically accelerate our organizational velocity and capabilities.

We are looking for an experienced group manager, someone with an entrepreneurial spirit, a bold vision, and the executive leadership skills to drive AI-stack change. Leading a talented group of engineering specialists, you will act as our chief scout and architect for internal AI innovation. You will evaluate emerging AI tools in the market, discover what truly works, listen closely to our employees' workflows, and lead the end-to-end implementation of AI solutions that redefine how Skai operates.

As part of your work you will be responsible for:

Group Leadership & People Management: Direct, mentor, and scale a high-performing group (including pod leads and specialists), fostering innovation and execution excellence.
Drive Skais AI Strategy & Vision: Define the high-level roadmap to embed GenAI and advanced AI tooling into our day-to-day operations and ecosystems.
Entrepreneurial Project Execution: Act as a "builder" - conceptualizing raw ideas into concrete AI projects and pushing them from fast PoCs to full operational deployment. Continuously research global AI tools and autonomous agent frameworks.
Listen to Our Teams & Identify Needs: Partner with internal teams to understand workflows and bottlenecks, turning feedback into actionable AI initiatives that boost efficiency.
Cross-Functional & Matrix Leadership: Drive AI adoption and cultural transformation by building alignment across R&D, Product, Operations, and Business units.

At our company, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. Youll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
Were proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets our company apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If youre excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
Key Responsibilities
We are looking for a passionate Software Developer to join our Gen AI Security team, where we build, evolve, and operate our company's Gen AI Security SaaS product, protecting GenAI-powered applications from prompt injection, data leakage, and harmful content.
In this role, you will develop new product capabilities across real-time detection & prevention, policy management, and the ML pipeline. You will work across backend services, Kubernetes environments, data pipelines, monitoring, and frontend components.
We are looking for a strong team player with a high sense of ownership, a "get-things-done" mindset, and the willingness to contribute across all areas of development - from UI and backend to data and detection pipelines.
Major Responsibilities
Develop new features and capabilities for our company's Gen AI Security SaaS product, with a focus on backend services and real-time detection & prevention pipelines
Develop SaaS product capabilities such as prompt-injection and jailbreak detection, content moderation, PII and data-leakage prevention, policy and practice management, and other customer-facing platform features
Contribute to our native inspection agent that runs close to customer traffic
Contribute to the platform's ML pipeline, including data collection and feature engineering that support the platform's detection models
Work with cloud services, CI/CD pipelines, monitoring, logging, and automation tools
Take end-to-end ownership of features, from design and implementation through deployment, observability, support, and production operation
Build and maintain dashboards, alerts, and operational tools, using data and metrics to improve reliability, performance, and product decisions
Collaborate closely with developers, DevOps engineers, product managers, security researchers, support teams, and other stakeholders
Support production environments, investigate customer issues, and understand the real-world impact of features, bugs, and infrastructure changes.

Were looking for a Generative AI Developer to join our forward-thinking engineering team. This role is perfect for someone with a passion for cutting-edge AI, a strong software engineering background, and the creative spark to identify and implement novel use cases within our product.
You will play a critical role in adding AI capabilities to our FinOps SaaS platform. Whether it's enhancing user workflows, automating insights, or inventing entirely new product experiences, youll have both the freedom and support to experiment and execute.
We provide a uniquely rich dataset covering the full scope of a companys cloud spend. This expansive data playground offers a powerful foundation for experimentation and insight generation, enabling the development of intelligent, value-driven features.
Responsibilities:
Lead the charge in transforming our product and preparing it for the agentic age.
Design, build, and deploy generative AI-powered features across our product.
Identify opportunities for AI integration by proactively exploring FinOps use cases and user needs
Prototype and validate new AI use cases quickly and iterate based on internal and external feedback
Collaborate cross-functionally with product, design, and backend teams to drive innovation from concept to production
Stay current with the fast-moving generative AI landscape and evaluate new models, APIs, and tools (e.g., OpenAI, Anthropic, Hugging Face, AWS Bedrock, open-source LLMs).
Live in the future and track new innovations and paradigms in this fast evolving field and identify opportunities to integrate them into the product
Implement safeguards, prompt engineering techniques, and usage monitoring to ensure high-quality AI outputs
Optimize model performance, inference time, and cost efficiency within AWS infrastructure.

As an AI Product Owner & AI Process and Agentic Designer, you will own the process of transforming complex workflows into scalable AI solutions, bridging the gap between business stakeholders and AI Engineers. You will lead business process analysis, identify agentic process opportunities, validate business value, and define solution designs that enable successful AI implementation across the organization.

Responsibilities

Business Process Analysis & Discovery
Partner with business stakeholders to map, document, and analyze existing workflows, identifying inefficiencies, bottlenecks, and manual processes ripe for automation.
Conduct discovery sessions and workshops to deeply understand business needs, pain points, and success criteria across departments.
Agentic Opportunity Identification
Evaluate workflows to pinpoint where agentic and AI-driven approaches can deliver the most value, distinguishing tasks suited to automation, augmentation, or full agentic orchestration.
Maintain a prioritized pipeline of AI/agentic opportunities, assessing each for feasibility, complexity, and impact.
Business Value Validation
Define and quantify the expected business value of proposed solutions (e.g., cost savings, time reduction, quality improvement, revenue impact) and build the business case for investment.
Establish success metrics and KPIs, and track realized value post-implementation to ensure outcomes match projections.
Solution Design & Definition
Translate business requirements into clear solution designs, including agentic process flows, decision logic, data inputs/outputs, integration points, and human-in-the-loop checkpoints.
Define guardrails, escalation paths, and fallback behaviors to ensure solutions operate safely and reliably.
Stakeholder & Engineering Bridging
Serve as the primary liaison between business stakeholders and AI engineers, translating business intent into technical requirements and engineering constraints back into business terms.
Own the product backlog, prioritize features, and clearly communicate scope, trade-offs, and timelines to all parties.
Implementation Enablement & Iteration
Guide solutions through the full lifecycle from concept to deployment, supporting testing, validation, and change management.
Gather feedback, monitor performance, and drive continuous refinement of deployed AI and agentic solutions.
Scalability & Standardization
Identify reusable patterns, components, and best practices to scale successful solutions across the organization.
Contribute to governance frameworks, documentation standards, and design principles for AI/agentic product development.

We are looking for a Staff AI Platform Engineer to join the Development Platform team, which is responsible for accelerating our R&D velocity and elevating product quality.
We need a pragmatic systems thinker who is deeply passionate about Developer Tools (DevTools) and the future of generative AI. You can architect a distributed LLM workflow in the morning, and influence engineering behavior across the entire org in the afternoon.
In this role, you will enable 200+ engineers to safely and reliably leverage agentic AI.
What You'll Do:
Scale Quality, Not Just Code Volume: Solve the hard problem of AI-driven quality by building rigorous measurement frameworks, ensuring that an AI-accelerated org delivers better software, not just more software.
Establish AI Governance & Security: Architect guardrails around LLM usage, data privacy, and cost management, ensuring 200+ engineers can innovate rapidly without compromising compliance or security.
Optimize the SDLC: Embed autonomous workflows, coding agents, and tool/context design directly into the developer lifecycle to supercharge R&D velocity.
Drive Org-Wide Adoption: Act as a force multiplier, leading the organizational rollout of AI developer tooling and setting production best practices across teams.
Build Agentic Infrastructure: Design and deploy production-grade multi-agent systems, tackling complex challenges like parallel session isolation, subagent delegation, and self-improving feedback loops.

We are looking for a GenAI & Competitive Intelligence Engineer to join our Competitive Intelligence team. This role combines deep technical expertise with a builder's mindset to design, implement, and maintain advanced AI-powered systems for automating knowledge collection, generating competitive insights, and ensuring broad internal knowledge sharing across the organization. You will spearhead AI solution projects from initial concept through execution and widespread adoption.

As a GenAI & Competitive Intelligence Engineer , you will
Main role: Build, implement, and maintain the AI-powered intelligence stack, using LLMs, agentic capabilities, MCPs, Skills, and advanced RAG, to automate data collection, analysis and sharing
Make knowledge impossible to miss inside . Build the competitive intel teams interfaces that get the right competitive insight to the right stakeholder at the right time
Drive projects from concept to execution to delivery
Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness
Ensure the scalability and reliability of LLM-based system architectures
Engage with requirement gathering and product discussions with internal customers
Be the focal point for collaborating with IS, IT and data science teams
Have solid understanding of various aspects of the software development supply chain, including DevOps, DevSecOps and MLOps, and conduct in-depth technical research around them

Were looking for an AI Creative Gen- someone who lives and breathes visual creation and wants to redefine how video and stills are made. Think of this as the digital cinematographer of 2026. You dont just 'prompt'- you engineer multi-model workflows, integrate complex compositing techniques, and bridge disparate tools into a unified pipeline. You build, composite, and direct.
In your day-to-day, you will:
Own visual projects end-to-end - from receiving a storyboard to delivering high-end, cinematic video and stills using AI as your primary camera and studio
Direct the machine - apply your deep understanding of cinematography (lenses, lighting, camera angles, and composition) to guide AI models toward photorealistic perfection
Build & architect workflows - design and engineer hybrid production pipelines by integrating multiple models within WIVI. You will be responsible for orchestrating workflows that connect Midjourney, Image-gen models, and the latest video engines into a seamless output
Master the "non-AI" look - use VFX and compositing skills (After Effects/Premiere) to eliminate artifacts and ensure every frame feels intentional, grounded, and premium
Drive R&D through production - collaborate with the Motion Studio and Creative teams to solve high-complexity briefs. You dont innovate in a vacuum; you push the technical boundaries of AI within live projects, discovering new creative solutions and "impossible" workflows while executing at the highest level
Bridge the gap - combine AI-generated content with real-world photography or 3D renders to create seamless, high-fidelity brand stories.

Were looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.
This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features-from data pipelines and LLM orchestration to intuitive UI experiences-with a strong product mindset.
Responsibilities:
AI Agent Design & Integration:
Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).
Fullstack Product Development:
Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces.
Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance.
Collaborate closely with design, product, and data teams to bring ideas from concept to production.
Systems & Infrastructure:
Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
Ensure systems are secure, reliable, and compliant with InfoSec standards.
Experimentation & Continuous Improvement:
Rapidly prototype and iterate on new AI capabilities and user experiences.
Analyze performance and usage metrics to drive product and model improvements.
Stay up to date with the evolving AI toolchain and emerging agent architectures.