Wand AI

Build the Future Workforce Wand turns AI into labor. It enables humans and AI agents to operate together as a unified, hybrid workforce, with comprehensive management and oversight. And it’s already operating at scale inside some of the world’s largest organizations. Wand built the world’s first Agentic Labor Infrastructure enabling governments and global enterprises to create, manage, and scale digital workforces. Our mission is to integrate agent ecosystems into the core of work and business, unlocking a generational leap in the global economy. We’re building the infrastructure that lets humans and AI agents operate together safely, transparently, and at scale. Join Wand in leading the Agentic Shift Wand is building a high-performing global team who take full ownership of what they build. We lead by example, move fast, make data-aware decisions, and continuously push for more- always with a focus on delivering real value to customers. You would be joining a world-class team that combines deep research expertise and real-world product execution, with experience spanning Deepmind, Google, Amazon, Miro, Elise AI, IBM and Accern. Position Summary: We are seeking a Regional VP Sales to lead Wand’s enterprise sales efforts in Israel. This role will focus on developing and expanding relationships with major local enterprises, driving strategic opportunities, and positioning Wand as a trusted AI transformation partner in the Israeli market. The ideal candidate has a strong local enterprise network, fluency in Hebrew, and a proven ability to close complex technology deals with large organizations. Particular value will be placed on candidates with access to the largest Banks, Inusruance companies in Israel, major local enterprises, and government-adjacent organizations. Responsibilities • Partner directly with Wand's CEO and engage C-level executives , CIOs, CTOs, and Chief Transformation Officers , at the region's largest enterprises, serving as a trusted strategic partner throughout their Agentic workforce transformation journey. • Own the full deal lifecycle from A to Z , from first executive conversation through discovery, solution design, commercial negotiation, and close , with full accountability for regional revenue outcomes. • Support C-level leaders through the transformation process, helping them navigate internal alignment, change management, and the organizational shift to an AI-augmented workforce. • Represent Wand at regional executive meetings, high-level customer discussions, and key industry events as a senior ambassador for the company's vision and platform. • Lead complex, multi-stakeholder enterprise sales cycles with discipline and precision, managing multiple decision-makers and organizational dynamics simultaneously. • Develop and execute the regional sales strategy across the Gulf and broader Middle East, with a strong focus on enterprise accounts in financial services and insurance. • Drive customer acquisition and expansion within priority industries, building long-term strategic relationships with target accounts. • Build and grow a strong pipeline of new business through direct outreach, ecosystem relationships, and strategic partnerships. • Partner closely with Wand's Product, Marketing, and Solutions teams to align customer needs with platform capabilities. • Maintain rigorous forecasting, pipeline reporting, and deal progression discipline within CRM. Key Qualifications • 10+ years of experience in enterprise technology sales, with a focus on AI, SaaS, automation, or data platforms. • Proven track record of closing multi-million dollar deals with large enterprises, with active experience managing deals of this scale. • Demonstrated success selling to C-level executives , CIOs, CTOs, and Chief Transformation Officers , at large enterprise organizations. • Experience working in dynamic, fast-paced startup environments , comfortable building processes, operating with limited resources, and moving quickly. • Proven success closing large enterprise deals across the Gulf Region and Middle East. • Existing network across financial services, insurance, or related enterprise sectors in the Gulf. • Experience managing long, complex sales cycles with multiple stakeholders and procurement processes. • Strong communication, negotiation, and executive presentation skills. • Proficiency with CRM and sales tools such as Salesforce, HubSpot, and LinkedIn Sales Navigator. • Fluent English required; Hebrew is a strong plus. Preferred Experience • Experience selling into financial services, insurance, or government sectors across the Gulf and Middle East. • Proven background selling AI transformation, automation, or infrastructure solutions to large enterprise organizations. • Experience working with Fortune 500 companies or equivalent regional enterprise accounts. • Track record of operating in high-growth startup environments, building from early-stage go-to-market through scaled execution. • Familiarity with partner-led and ecosystem-driven enterprise sales motions. Personal Characteristics • A hunter and a closer , this role is not about managing a large team, it is about personally owning a large, high-impact quota and being accountable for delivering it. • Commercially driven, highly proactive, and energized by the challenge of building a market from the ground up. • Strong executive presence with the ability to command the room and build trusted relationships at the C-suite level. • Comfortable operating with ambiguity and speed in a fast-moving, resource-light startup environment. • Strategic in planning, disciplined in execution, and hands-on at every stage of the deal. • Deep sense of personal ownership , if it is in your territory, it is your responsibility.

Build the Future Workforce Wand turns AI into labor. It enables humans and AI agents to operate together as a unified, hybrid workforce, with comprehensive management and oversight. And it’s already operating at scale inside some of the world’s largest organizations. Wand built the world’s first Agentic Labor Infrastructure enabling governments and global enterprises to create, manage, and scale digital workforces. Our mission is to integrate agent ecosystems into the core of work and business, unlocking a generational leap in the global economy. We’re building the infrastructure that lets humans and AI agents operate together safely, transparently, and at scale. Join Wand in leading the Agentic Shift Wand is building a high-performing global team who take full ownership of what they build. We lead by example, move fast, make data-aware decisions, and continuously push for more- always with a focus on delivering real value to customers. You would be joining a world-class team that combines deep research expertise and real-world product execution, with experience spanning Deepmind, Google, Amazon, Miro, Elise AI, IBM and Accern. Position Summary We're hiring a Staff Software Engineer to build the AI and agentic engines behind governance at Wand: systems that reason over messy, non-deterministic organizational data to catch policy violations, flag risk, and surface what humans actually need to see. This isn't about using AI day to day. It's about having built it: agentic workflows, models, or systems that went from idea to production. You'll join the Org Intelligence team as one of its most senior technical voices, with the autonomy to propose an approach, defend it, and then go build it, largely on your own. We're a small, remote-first, high-trust team. There's no hand holding here and not much process either. You own the problem end to end. Role Responsibilities • Design and build AI and agentic systems that analyze organizational data to catch policy violations, compliance risks, and governance issues, often from ambiguous, non-deterministic signals. • Build agents and pipelines that use LLMs to reason over large volumes of data, going well beyond deterministic, rule based checks. • Architect and build knowledge graph systems that model organizational structure and relationships, and make that context usable by agents. • Take a fuzzy, undefined problem ("find policy violations across messy data"), propose a real technical approach, defend it, then build it with minimal oversight. • Bring engineering rigor to inherently fuzzy territory: testing, evaluating, and iterating on how well your agents actually perform. • Partner with the rest of the Org Intelligence team to get AI-driven insight into the product's governance and compliance surfaces. • Contribute across the stack when it helps, though the core of this role is the AI and agent layer, not the UI. Key Requirements • A track record of building AI systems as a creator, not a consumer. You can talk in real depth about an agentic workflow, model, or system you built and shipped, not just a tool you use day to day. • Experience building or working with knowledge graphs in a real, shipped system. • Experience building agents or LLM based systems that reason over unstructured or ambiguous data, not simple deterministic pipelines. • Comfortable owning a project from architecture to delivery with real autonomy: you propose the design, defend it, then build it. • Strong software engineering fundamentals and the independence to thrive in a fast moving, remote first, senior-heavy team. • A history of turning fuzzy, non-trivial problems into concrete, working systems. • Practical experience with knowledge graph tooling: graph databases and query languages such as Neo4j/Cypher, RDF/SPARQL, Amazon Neptune, or similar. • Hands on experience with LLM provider APIs (OpenAI, Anthropic, or similar) and agent frameworks such as LangChain or LangGraph. • Comfortable with retrieval infrastructure like vector databases (Pinecone, Weaviate, pgvector, or similar) for grounding agent reasoning in organizational data. • Strong in a language well suited to graph construction, agent pipelines, and data analysis Preferred Experience • Experience building security, risk, or compliance related tooling, especially anything involving policy or violation detection. • Prior experience at a company building agentic or AI-native products, rather than bolting AI onto an existing product as a feature. • Comfortable working fully remote, across time zones, on a small and highly autonomous team.