Wand AI

• 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.

• Own backend architecture end to end for a greenfield product • Design data structures and system architecture for a customer-facing product built to scale • Build and maintain backend services and APIs • Contribute to the front-end as needed • Take true end-to-end ownership • Build inside a fully AI-driven workflow • Operate comfortably in a small, fast-moving, ambiguous environment

• Analyse product requirements and translate them into automated test cases and strategies. • Design, build, and maintain automated test cases for UI and AI-Based API automation testing. • Review and improve existing test frameworks, tooling, CI/CD process, and automation architecture. • Work closely with developers to create shared ownership of software quality. • Build and maintain custom testing tools to support development teams.

• 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.

• Lead technical pre-sales engagements — partner with Sales and Product to architect high-impact solutions that align with client goals, data realities, and Wand’s differentiators • Design and deliver lightweight, believable prototypes that prove Wand’s unique capabilities — from legal document parsing to agentic workflow automation • Own the “Proof-to-Contract” motion — help clients define what must be proven technically (accuracy, scalability, adaptability) to justify commercial commitment • Act as a consultative discovery partner — uncover what customers really need, not just what they ask for • Build reusable demo systems and technical frameworks that make it faster for the next SE to spin up an environment, run a workflow, or connect a customer dataset • Contribute Python scripts, API workflows, and reference architectures that showcase best practices for integrating Wand into client ecosystems • Mentor and scale a small, high-performing team of Sales Engineers — establishing standards for demo quality, engagement discipline, and technical storytelling • Collaborate cross-functionally with Product and Engineering to channel field feedback into roadmap priorities and product enablement • Develop and document playbooks — building the foundation for a repeatable SE function • Represent Wand externally — lead workshops, client sessions, and conference demos that position Wand as the most capable, credible applied AI partner in the market.

• Design and build scalable search and retrieval systems combining lexical and semantic approaches. • Develop and maintain connectors to enterprise data sources (SaaS platforms, data warehouses, document stores, APIs). • Build data pipelines that ingest, transform, and index customer data for use by AI agents. • Integrate with LLM providers and related frameworks (e.g., LangChain, LlamaIndex) to deliver context-aware agent capabilities. • Pull and process analytics data from customers' warehouses (Snowflake, BigQuery, Databricks, etc.). • Own projects end-to-end: from architecture and technical design through implementation, deployment, and ongoing maintenance. • Collaborate with product and AI teams to translate retrieval quality into measurable agent performance improvements. • Optimize retrieval pipelines for latency, relevance, and cost efficiency at scale. • Uphold a culture of high efficiency, creativity, and quality.

• Own the front-end architecture end to end for a greenfield product: assess what's been built so far, decide what to keep and what to rethink, then build it. • Design and build the UI for a customer-facing product, bringing real product and UX sense, not just technical execution. • Build and maintain the front-end (we lean TypeScript, but we care far more about your track record than an exact stack match). • Contribute to the backend as needed: understand databases, data structures, and overall system design well enough to build and reason about APIs (Node.js or Go, technology agnostic). • Take true end-to-end ownership: propose the approach, defend it, then build it, without waiting for someone else to set the direction. • Build inside a fully AI-driven workflow, using tools like Claude Code as a core part of how you ship, not an occasional assist. • Operate comfortably in a small, fast moving, ambiguous environment where priorities shift and you're often defining the "how," not just executing a pre-set plan.

• 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.

• Own and lead all SRE-related strategy, standards, and execution. • Embed SRE culture and operational excellence across engineering teams. • Review the current infrastructure and operational model; redesign and rebuild where needed. • Architect, deploy, and maintain scalable, secure production environments. • Define and implement SLIs, SLOs, and uptime targets. • Establish robust monitoring, alerting, and observability practices. • Design and implement incident management, RCA and postmortem processes. • Build and manage sustainable on-call frameworks and escalation models. • Automate the software delivery lifecycle to improve release predictability and safety. • Create reproducible environments and IaaC provisioning templates. • Improve system performance, availability, and reliability. • Support and productionise data platforms and ML workloads. • Partner closely with QA and Engineering leadership to improve release quality and stability. • Ensure infrastructure meets enterprise-grade security and regulatory requirements. • Hire, manage, and mentor a team of SRE engineers.

• Serve as the primary post-sale relationship owner for enterprise accounts across Israel and selected ROW customers. • Build strong, multi-level relationships with executive sponsors, program managers, IT leads, business owners, and end-user teams. • Lead Executive Business Reviews focused on business value, adoption progress, ROI, and strategic alignment. • Represent the customer internally and ensure their feedback informs product direction, delivery priorities, and account strategy. • Build and execute onboarding, enablement, and adoption plans tailored to each customer’s workflows and success goals. • Define business outcomes, KPIs, and success criteria early and track them throughout the lifecycle. • Identify usage gaps, stakeholder misalignment, and risk signals before they affect account health. • Run enablement sessions, stakeholder workshops, and internal customer programs to deepen adoption. • Work closely with Solution Architects to connect technical delivery with executive-level business outcomes. • Maintain clear account plans, stakeholder maps, risk registers, and success roadmaps. • Track health metrics, usage patterns, adoption levels, and escalation points using internal CS processes and tooling. • Manage escalations with high urgency, ownership, and structure until full resolution. • Coordinate cross-functionally with Product, Engineering, Sales, and Legal to support customer commitments and issue resolution. • Identify expansion opportunities across teams, new use cases, business units, and broader deployment motions. • Support renewals and upsell strategy in partnership with Sales. • Maintain visibility into renewal risk and ensure any issues are escalated early with a mitigation plan. • Build champions and internal supporters who help reinforce Wand’s position during procurement and renewal cycles.