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.

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.

Required Product Manager - AI Platform
About the role:
We've taken a platform-first, builder mindset from day one, developing the modular building blocks we call pillars. Our users are exceptional engineers who continuously build creative and unexpected solutions with our platform. Being a PM here means embracing that creative tension while staying relentlessly focused on where the platform needs to go next.
As a PM, you'll own a pillar end-to-end alongside your team of engineers and designers. You'll build and evolve it as a standalone value stream and as a connected part of the broader platform. PMs are full picture owners: they shape the story of their pillar from market positioning to technical enablement, defining success not just by what gets shipped, but by the measurable impact it delivers.
What you'll do:
Define what to build and why. Go deep with customers, analyze usage data, and research the competitive landscape. Bring that view to your team, build a sharp perspective on what's worth building next, and communicate the reasoning to engineering, leadership, and the market.
Shape experiences engineers choose to use. Our developer experience spans the entire ecosystem across the UI, API, CLI, and daily chat and coding interfaces. Work closely with design and engineering to make each surface deliberate, from the first wireframe through launch.
Drive cross-functional impact. PMs don't hand off and wait. You work across engineering, design, marketing, sales, and CS throughout the full product cycle, accountable for picking the right problem, the solution built, and whether the launch lands.
Build for agents and developers. We are the context and action layer for both. Shape your domain so agents can act on it reliably and developers can navigate it intuitively. Understand the tradeoffs in how data, APIs, and interfaces serve both. Separate the signal from the hype, and use that view to sharpen your roadmap.
Measure what matters. Define success metrics before you ship. Track adoption, analyze what's landing, and iterate until the outcome is real.

We are looking for a VP Data Intelligence & AI Enablement to join our Team.

Why is this role so important?

As VP of Data Intelligence & AI Enablement, you will own the data foundation that powers AI-native future.
You'll lead the BI team and the Data Analyst teams embedded in GTM (Sales, Marketing) and Product- teams that are already AI-fluent, working daily with Cursor, Git, and LLM tooling.
Your mandate is to channel that capability into building production-grade agentic solutions that drive measurable business outcomes across GTM, Product, and G&A.



So, what will you be doing all day?

AI Infrastructure (MCP): Develop the internal data and API layer to make business data accessible, safe, and actionable for AI agents across GTM and Product.

Proactive Intelligence: Shift the company from traditional reporting to automated, AI-pushed insights and dashboards delivered directly to stakeholders.

Semantic Layer & Governance: Build and own the unified semantic layer to ensure a single source of truth and eliminate metric misalignment across Sales, Marketing, CS, and Product.

Scaling Analytics with AI: Lead and upscale the data analysts function into "AI solution builders," implementing automated agentic workflows (using Cursor, Git, LLMs) to handle complex processes.

GTM & Product Analytics: Own the core analytical frameworks for key business metrics (Pipeline, Conversion, CARR, Retention, and Product Usage).

C-Suite Partnership: Serve as the strategic data thought-partner to the executive team (COO, CRO, CPO, CMO, CFO) to align data strategy with business priorities.

We are looking for a senior product manager to join our AI Unit and help shape the AI platform that powers next generation of products.

This role focuses on the platform and ecosystem layer of AI, building the capabilities, standards, and systems that enable teams across the company to create AI-powered experiences effectively.

You will work closely with engineering, data, and product teams to define how AI capabilities are built, reused, and governed across the platform.

This is a high-impact role with broad scope. It requires strong product fundamentals, technical curiosity, and the ability to operate in an evolving space.

We're looking for an experienced Senior Product Manager who is excited about building category-defining AI products, working directly with enterprise customers, and shaping the future of agentic experiences.

We work primarily remotely, with one collaborative team day from our Tel Aviv office.

About the Role
You'll co-lead ExpertX, our company AI agent platform. ExpertX deploys AI agents into client organizations to answer questions, train, and coach employees which means success isn't defined by shipping features. It's defined by customer adoption, measurable business KPIs, and expanding from initial use cases into broad organizational deployments.

This is a high-ownership role in a fast-moving startup. You'll shape product strategy, drive execution, partner closely with Engineering, and work directly with enterprise customers often all within the same week.

What You'll Do

Co-lead ExpertX end-to-end from product vision and roadmap through delivery and measurable customer impact.
Own the product lifecycle from customer discovery and prioritization to requirements, launch, and continuous optimization.
Translate customer insights into scalable product opportunities by partnering closely with Sales and Customer Success.
Partner with Engineering to define product strategy, prioritize initiatives, and deliver high-impact AI capabilities.
Shape the agent experience, including trust, guardrails, human-in-the-loop workflows, and graceful handling of AI uncertainty.
Design persona-specific product experiences for Builders, Admins, Managers, and End Users.
Define how AI agents are created and maintained, including knowledge architecture, prompting standards, and quality assurance.
Support customer growth by partnering with Sales and Customer Success on adoption, QBRs, governance discussions, and expansion opportunities.
Present product strategy and roadmap to senior customer stakeholders.
Thrive in a fast-paced startup environment by making thoughtful trade-offs, moving quickly, and adapting as priorities evolve.

We are looking for an Associate AI Product Manager (entry-level position) to join our team for a 6-month contract (backfill). This is an opportunity for a highly-capable entry-level individual to gain valuable industry experience, as part of a team of strong product professionals.
You'll work at the intersection of Data Science, e-commerce, and data platforms - owning capabilities that directly shape how millions of customers discover and buy products. Youll own real product problems, and work across Walmart's e-commerce organization.
The ideal candidate will have strong analytical and technical foundations - from a quantitative, engineering, or CS background - combined with hands-on experience working alongside data science or ML teams, strong intuitions on how to define quality criteria and drive model improvements, and the ability to take full ownership of a technical backlog and deliver results independently.
Responsibilities:
Own, deeply understand, and execute plans for improving NLP / DS models and capabilities across various domains and customer needs; from prioritizing improvement iterations, through defining quality criteria, to collaborating with DS and Engineering on delivery.
Define evaluation frameworks: Establish quality dimensions, create labelling guidelines and examples, and work with quality and data science teams to build automated evaluation pipelines.
Own and drive a prioritized backlog of improvements to platform capabilities; understand the domain in-depth, gather feedback and faults (incl. customer analytics), and apply methodical reasoning to assess best prioritization within a given capacity.
Collaborate with data science and ML engineers as well as with global product teams, to translate product problems into model improvements; challenge assumptions, evaluate trade-offs, and drive measurable outcomes.
Manage multiple concurrent workstreams across a global, cross-timezone team.

This is a role for someone who wants to build the org of the future, where agents and people work side by side, and is ready to own the program that gets a company there! Youre taking over the leadership of our AI Transformation: the internal AI work across every function. Youll own the program end-to-end.

What Youll Do?
Run the three pillars (Adoption, Infrastructure, Builds) and the foundation that ties them together. Adjust as we learn, and make it real on the ground.
Lead the change, not just the tooling - the hard part isnt building the agent, its getting people to change how they worked for years. Youll drive that change, build trust with VPs, and push where it matters.
Manage and grow the team - both direct reports and dotted line champions. Youll grow the team from there as the program scales.
Run the prioritization machine - choose whats the right effort, from vertical low hanging fruit and all the way to horizontal initiatives.
Make agents as employees real - every agent has a manager, a cost, a performance review, and a forward plan. Managers are measured and rewarded on how their agents perform.
Measure and report impact - hours saved, adoption, leverage and metrics you define and instrument. Report up. Adjust the program based on what the numbers say.
Stay hands-on - this isnt a role for someone who only writes plans. You build agents and workflows yourself when it makes sense, sit in proposal reviews with the PM, weigh in on architecture with the Engineer, and ship things when needed.

Location: Tel Aviv. Hybrid.

we are looking for a AI & IT Manager
This is a dual-track role combining a forward-looking mandate to identify, implement, and maintain AI tools that improve how we work, with day-to-day IT management. You'll be the internal point of contact for all things technology, and a key partner to leadership on compliance initiatives.