Wand AI

Product Manager

• Lead product for 4 teams: execution, process automation, communication, skills & university
• Spend significant time in skills & university, the core innovation area for agent training and maturation
• Define agent architecture: Is a process an agent? Is an agent a human replacement? These are nuanced questions you'll answer.
• Ship features that work for enterprises, not just demos for engineers
• Work closely with your engineering counterpart to balance innovation and execution
• Participate in EPD leadership and shape overall product direction
• Build credibility as someone who can write or speak authoritatively on agentic AI
• Ship agent training and maturation system (skills & university) to production in first 12 months
• Define and document "what is an agent" framework adopted across the company
• Lead 3+ enterprise customer implementations and iterate product based on feedback
• Publish or present thought leadership on agentic AI externally
• Reduce ambiguity in agent architecture so engineers know what they're building

Head of Product, AI Workforce

Machine Learning Engineer

• Develop and maintain ML platforms and pipelines supporting autonomous, goal-driven AI agents.
• Build systems for the full ML lifecycle, including agentic decision-making, task orchestration, and goal execution.
• Integrate ML models with product logic and business workflows to operationalize AI capabilities.
• Implement pipelines for experimentation, productionization, and continuous agentic learning.
• Collaborate with data science and product teams to turn research outputs into production AI agents.
• Design and optimize infrastructure for large-scale training, inference, and multi-agent coordination.
• Implement observability and monitoring for ML pipelines, agent behaviors, and goal-driven execution.
• Build systems for automated evaluation, drift detection, and retraining of AI models.
• Ensure reliability, scalability, and operational excellence of ML services powering autonomous workflows.
• Troubleshoot complex issues in ML pipelines, agentic systems, and distributed infrastructure.
• Contribute to CI/CD and development workflows supporting ML lifecycle, agent orchestration, and model deployment.
• Collaborate and share knowledge to improve implementation of agentic AI systems across teams.

Senior Machine Learning Engineer

• Architect and lead the development of scalable ML platforms that support autonomous, goal-driven AI agents.
• Design systems that support the full ML lifecycle, including agentic decision-making, task orchestration, and automated goal execution.
• Build frameworks for integrating models with product logic, business objectives, and operational workflows.
• Lead the development of pipelines that enable experimentation, productionization, and continuous agentic learning.
• Define architecture standards and engineering practices for agentic AI, goal alignment, and productized ML solutions.
• Collaborate with data science and product teams to turn research outputs into production AI agents that drive real product impact.
• Design infrastructure supporting large-scale training, inference, and multi-agent coordination workloads.
• Strengthen observability and monitoring across pipelines, AI agents, and goal-driven behavior execution.
• Implement systems for automated evaluation, goal alignment checks, drift detection, and retraining.
• Improve reliability, scalability, and operational excellence of ML services powering autonomous workflows.
• Lead troubleshooting of complex agentic system failures and distributed ML infrastructure issues.
• Influence CI/CD and development workflows supporting ML lifecycle, agent orchestration, and automated deployment.
• Mentor engineers to build expertise in agentic systems, AI-driven product logic, and autonomous workflows.
• Collaborate with architects and senior engineers to shape long-term AI platform strategy and agentic product roadmaps.

Staff Machine Learning Engineer

Backend Engineer

• Design and lead the development of scalable backend architectures,
• Build and operate high-performance distributed systems using languages such as Java or Golang.
• Define backend architecture patterns and standards used across multiple engineering teams.
• Lead complex technical initiatives spanning multiple systems or product areas.
• Design systems that support high availability, resilience, and long-term scalability.
• Collaborate with platform, infrastructure, and data teams to ensure backend services integrate effectively across the platform.
• Drive improvements in system performance, scalability, and operational efficiency.
• Contribute to service decomposition, microservices architecture, and domain-driven design initiatives.
• Design backend services that integrate with complex enterprise environments and external systems.
• Ensure backend systems meet enterprise-grade security, reliability, and operational standards.
• Improve system observability through logging, metrics, tracing, and operational insights.
• Support production services and lead troubleshooting of complex cross-system issues.
• Influence CI/CD and deployment practices to improve release safety and delivery velocity.
• Establish and promote strong engineering practices including testing, code quality, and documentation.
• Mentor engineers and provide technical leadership across backend engineering teams.
• Partner with senior technical leadership to shape the long-term architecture and platform strategy.

Staff Backend Engineer

Frontend Engineer

• Design, develop, and maintain modern web applications using React and JavaScript.
• Build responsive, accessible, and high-performance user interfaces.
• Collaborate closely with product managers and designers to translate requirements into intuitive user experiences.
• Develop reusable frontend components and maintain consistent design patterns across applications.
• Integrate frontend applications with backend services and APIs.
• Contribute to backend development where appropriate, supporting full stack application delivery.
• Ensure frontend code quality through testing, code reviews, and best engineering practices.
• Optimise application performance and improve page load times and responsiveness.
• Work with backend engineers to design efficient API interactions and data flows.
• Contribute to frontend architecture decisions and technology evolution.
• Improve observability and debugging capabilities for frontend applications.
• Participate in CI/CD processes to ensure safe and reliable deployments.
• Troubleshoot production issues and support continuous improvement of web applications.
• Maintain clear documentation for frontend components and application architecture.
• Collaborate with engineers across teams to deliver integrated product features.

Senior Full Stack Engineer, Frontend Focused

Security Engineer

• Own product strategy and roadmap for Security and Compliance across Wand
• Define and ship security and compliance capabilities for agentic AI systems
• Design guardrails for agent behaviour, permissions, identity, and data access
• Own identity, access control, auditability, and policy enforcement requirements
• Partner closely with Engineering on system-level security and enforcement mechanisms
• Translate enterprise security constraints into concrete product decisions
• Engage directly with customer security teams and CISO-level stakeholders
• Build monitoring, alerting, and enforcement mechanisms for agentic workflows
• Define how agents can act, learn, and interact with sensitive systems
• Own and evolve the “CISO agent” concept and its enforcement model
• Ensure enterprise readiness for regulated environments from day one

Head of Product Security – Compliance

Full-stack Engineer

• Design and implement QA foundations and evaluation frameworks for assessing AI agents, their workflows and processes.
• Design and run experiments to assess AI-driven QA processes, including prompt strategies, automation workflows, and agent performance.
• Benchmark systems across multiple engineering streams to determine accuracy, reliability, cost, and consistency of outputs.
• Develop approaches for creating synthetic datasets and structured test data to support reliable evaluation.
• Identify gaps in existing testing approaches and design AI-based solutions or agents to address them.
• Build proof-of-concepts (POCs) to explore new testing approaches and validate ideas.
• Structure and document product knowledge, including user journeys, APIs, and business rules, to support AI-assisted testing systems.
• Evaluate the cost, ROI, and effectiveness of different QA approaches and automation strategies.
• Collaborate closely with the QA Lead and engineering teams to integrate AI-assisted QA into development workflows.
• Ensure AI-driven testing processes produce consistent, reliable, and high-quality results.
• Remain hands-on in building tooling, experiments, and testing infrastructure.

Staff AI Software Developer in Test

• 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.
• 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.

Senior Software Developer in Test

DevOps Engineer

• Build, maintain, and operate scalable production infrastructure.
• Own reliability and availability for key services and environments.
• Contribute to the design and operation of Kubernetes-based infrastructure.
• Develop and maintain Infrastructure-as-Code frameworks (e.g., Terraform).
• Improve monitoring, alerting, and observability across systems.
• Participate in on-call rotations and respond to production incidents.
• Investigate root causes of incidents and contribute to postmortems and reliability improvements.
• Improve system performance, availability, and fault tolerance.
• Contribute to CI/CD pipeline improvements to increase release safety and predictability.
• Support the deployment and operation of data platforms and ML workloads.
• Help standardize environments and infrastructure across internal systems and customer deployments.
• Troubleshoot issues across infrastructure, services, and deployment pipelines.
• Work closely with QA and engineering teams to improve production readiness and release stability.
• Contribute to automation efforts that reduce operational toil.

Senior Site Reliability Engineer

• Own the connective tissue between our agentic platform and the external world
• Manage external data access through APIs, vectorization, indexing, caching, and ETL for enterprise data
• Enable third-party developers to build agents for Wand through the developer platform
• Lead product strategy for integrations with HRIS, financial systems, and SaaS tools
• Own marketplace GTM

Head of Product, Integrations and Marketplace

• Define and drive the product vision, strategy, and roadmap for the control panel platform.
• Translate business goals, user needs, and data insights into clear, actionable product requirements.
• Prioritize features, enhancements, and technical initiatives to maximize value delivery.
• Collaborate with engineers and designers to ensure intuitive, data-rich, and high-performance user experiences.
• Own the end-to-end product lifecycle, from discovery and design to delivery and iteration.
• Work closely with data teams to define metrics, KPIs, and reporting requirements.
• Conduct user research, gather feedback, and analyze usage patterns to inform product decisions.
• Ensure alignment between product initiatives and broader business objectives.
• Partner with engineering to scope technical feasibility, identify dependencies, and ensure timely delivery.
• Monitor product performance and continuously iterate to improve usability, adoption, and impact.

Product Manager, Control Panel

Engineering Manager

• Lead and manage a team of engineers.
• Oversee the design, development, and maintenance of the control panel platform, including dashboards, reporting tools, and metrics visualization.
• Ensure consistent frontend architecture, reusable component libraries, and maintainable design systems across all applications.
• Collaborate with product managers, designers, and data teams to translate complex requirements into intuitive user experiences.
• Drive integration with backend APIs, data pipelines, analytics systems, and cost/budget management tools.
• Contribute hands-on to frontend and full stack development for critical platform features.
• Lead performance optimization efforts for large datasets, interactive charts, and real-time dashboard updates.
• Establish and enforce best practices for state management, code quality, testing, and CI/CD processes.
• Facilitate problem-solving for production issues, ensuring reliability, security, and high performance of the platform.
• Promote a culture of ownership, technical excellence, collaboration, and continuous improvement within the team.
• Participate in technology and architecture decisions, advocating for scalable and maintainable solutions.

Engineering Manager – Frontend, Full Stack

• Design and build scalable search and retrieval systems
• Develop and maintain connectors to enterprise data sources
• Build data pipelines that ingest, transform, and index customer data
• Integrate with LLM providers to deliver context-aware agent capabilities
• Own projects end-to-end from architecture through implementation

Senior Backend Engineer, Context Management

• Design, build, and maintain scalable backend services and APIs
• Develop high-performance distributed systems using languages such as Java or Golang
• Design backend architectures that support high availability, scalability, and resilience
• Collaborate closely with product, frontend, platform, and data teams to deliver end-to-end product capabilities
• Design and optimise data access patterns across relational and distributed data stores
• Contribute to service decomposition and microservices architecture where appropriate
• Build backend services that integrate with complex enterprise environments and external systems
• Ensure backend systems meet enterprise-grade performance, security, and reliability standards
• Participate in architectural design discussions and contribute to long-term platform evolution
• Implement strong testing strategies including unit, integration, and performance testing
• Improve system observability through logging, metrics, and tracing
• Support production services, troubleshoot issues, and contribute to incident response when required
• Optimise backend performance, scalability, and system efficiency
• Contribute to CI/CD pipelines to support safe, automated, and repeatable deployments
• Maintain strong technical documentation for services and architecture

Senior Backend Engineer

• Lead and manage a team of frontend and full stack engineers.
• Drive the design, development, and delivery of intuitive, responsive, and performant web applications.
• Ensure frontend consistency through reusable components, design systems, and accessible UX patterns.
• Collaborate with product managers, UX/UI designers, and AI teams to translate requirements into actionable solutions.
• Oversee integration of frontend components with backend services, AI APIs, and real-time data pipelines.
• Contribute hands-on to frontend and full stack development for key platform features when needed.
• Lead architecture decisions around frontend frameworks, state management, and performance optimization.
• Establish and enforce best practices for code quality, testing, and CI/CD pipelines.
• Monitor platform performance, troubleshoot issues, and implement continuous improvements.
• Foster a culture of collaboration, ownership, technical excellence, and user-focused design within the team.
• Encourage experimentation and innovation in AI-driven UX and interactive web experiences.