Wand Synthesis AI Inc.

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. Requirements Position Summary: We are seeking an Enterprise Sales Director to lead Wand's enterprise sales efforts across the Gulf Region and broader Middle East. This role will be responsible for driving regional go-to-market execution, building a strong enterprise pipeline, and closing complex, high-value deals with large organizations across priority sectors. The ideal candidate brings a strong track record in enterprise SaaS sales, experience navigating long and complex sales cycles, and an established network across the Gulf region, particularly within financial services and insurance. This is a high-visibility role: you will operate directly alongside Wand's CEO and engage C-level executives — CIOs, CTOs, and Chief Transformation Officers — at some of the region's largest enterprises, guiding them through meaningful AI-driven transformation journeys. You will work closely with Wand's executive leadership, marketing, and product teams to expand our regional presence and establish Wand as the strategic AI partner of choice for enterprise transformation across the Gulf. 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; Arabic 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.

Role Description We are hiring for a Senior Software Developer in Test (SDET) to help drive quality across our engineering teams by designing and implementing scalable automated testing solutions. The SDET will focus primarily on API testing, with additional responsibility for end-to-end UI testing. They will collaborate closely with developers and product teams to analyse requirements, design automated test cases, and ensure high levels of test coverage and reliability. This role also involves guiding software engineering teams on quality engineering practices, improving testing frameworks, and exploring innovative approaches such as AI-assisted test generation. Responsibilities - Analyse product requirements and translate them into automated test cases and strategies. - Design, build, and maintain automated test cases for AI-Based API and UI automation testing. - Adopt and implement contract-based API testing approaches across services and integrations. - Review and improve existing test frameworks, tooling, CI/CD process, and automation architecture. - Define and implement Standard QA processes and best practices within engineering teams. - Work closely with developers to create shared ownership of software quality. - Collaborate with teams to validate user journeys and client-facing workflows. - Coach and guide teams on test automation and quality practices. - Take responsibility for testing outcomes and quality results within the team. - Build and maintain custom testing tools to support development teams. Qualifications - Ability to systematically analyse product requirements, identify potential risks earlier, and design effective automated test strategies. - Experience working closely with developers in collaborative engineering teams. - Strong experience in test automation and quality engineering in a software development environment. - Extensive experience with API testing. - Experience with UI automation testing tools (e.g., Playwright). - Strong programming skills in TypeScript and/or Python, and CI/CD pipelines. - Ability to review, improve, and scale testing frameworks and processes. Preferred Experience - Experience with contract testing. - Familiarity with Temporal workflows and strategies for testing distributed processes. - Experience developing custom automation tooling. - Experience working with AI-assisted testing tools or automated test generation. - Experience evaluating or improving automation frameworks across teams. Personal Characteristics - Proactive and self-driven, with a strong can-do attitude. - Strong problem-solving and analytical thinking skills. - Ability to manage time effectively and prioritise work independently. - Comfortable bringing new ideas and improvements to the team, and flexible to changes. - Collaborative mindset with the ability to guide, mentor, and influence developers. - Interest in using AI and modern tooling to improve development workflows.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are hiring for a highly experienced Senior Staff SRE Engineer to act as a senior technical authority within our reliability function. This is a deeply hands-on individual contributor role, to build and operate SRE practices at scale. You will: - Design and evolve resilient infrastructure - Drive reliability across multiple engineering streams - Ensure our AI-driven products operate with high availability, performance, and security - Work across platform, product, data, and ML teams - Help productionise models and standardise customer environments - Strengthen Kubernetes-based architecture - Mature our CI/CD pipelines end-to-end - Collaborate with other Staff engineers and Architects to shape the global product architect and technology vision Responsibilities - Architect, deploy, and operate scalable, secure production environments (AWS preferred) - Lead reliability improvements across multiple engineering streams - Design and evolve Kubernetes-based infrastructure, including migration and optimisation initiatives - Build and enforce strong Infrastructure-as-Code standards - Define and operationalise SLIs, SLOs, and error budgets - Strengthen observability across applications, infrastructure, data pipelines, and ML systems - Work closely with product and data teams to integrate model analytics and product telemetry into reliability insights - Work across and optimise the entire CI/CD pipeline, from build to deploy to rollback - Improve release safety, deployment frequency, and predictability of SLAs - Lead incident response for complex cross-system failures and drive postmortems - Reduce operational toil through automation and platform engineering improvements - Design processes and tooling to absorb, standardise, and troubleshoot customer environments - Support and productionise ML workloads (MLOps practices including model deployment, monitoring, retraining workflows) - Ensure infrastructure aligns with enterprise-grade security and regulatory requirements - Mentor engineers and raise the overall reliability bar across teams Qualifications - Extensive hands-on experience in SRE or Production Engineering roles - Demonstrated experience building or scaling SRE practices in high-growth or complex environments - Deep expertise in AWS or Azure-based cloud infrastructure - Strong experience with Kubernetes (including migration, scaling, and production hardening) - Advanced Infrastructure-as-Code experience (Terraform or equivalent) - End-to-end CI/CD pipeline design and optimisation experience - Strong experience with observability tooling across distributed systems - Experience troubleshooting complex multi-tenant or customer-hosted environments - Experience supporting production data platforms and ML systems - MLOps experience, including model deployment and monitoring - Strong understanding of distributed systems, scalability, and fault tolerance - Systems thinker who understands interactions across infrastructure, product, data, and ML - Excellent communication skills and ability to work cross-functionally Preferred Experience - Experience in large-scale global B2B/B2C products - Experience working with AI/ML systems, NLP, or LLM-based products - Experience integrating product analytics and model performance metrics into operational monitoring - Background in enterprise environments with strong security and compliance requirements - Experience implementing regulatory controls within cloud infrastructure - Experience scaling infrastructure during rapid growth phases - Experience evaluating infrastructure tooling and vendors - Experience in collaborating with large scale enterprise customers to deploy and operate environments within their accounts and VPCs Personal Characteristics - Strong problem solver who anticipates failure modes - High ownership mentality and accountability - Comfortable working across streams and influencing without formal authority - Learning-oriented with a drive for continuous improvement