Jobs at Wonderful

Own the vision, roadmap, adoption, and quality tooling used by forward-deployed teams to build, test, launch, monitor, and improve AI agents. Convert field-built tools into scalable products, establish deployment quality loops, prioritize field needs, define success metrics, and lead cross-functional engineering delivery from discovery through production.

Own complex, cross-company programs for the Chief Product Officer, converting strategic priorities into executable plans and driving delivery across Product, R&D, Deployment, Sales, and Marketing. Responsibilities include managing launches and strategic deals, coordinating stakeholders, identifying risks, tracking milestones, running operating rhythms, reporting progress, and improving planning practices. The role requires executive communication, influence without authority, technical understanding, and independent execution.

Build and deploy AI agents that transform enterprise workflows. Embed with customers to understand operational needs, design technical solutions, integrate with tools and data, and own systems from prototype through production. Measure business impact, monitor reliability, iterate on deployments, and convert lessons into reusable platform capabilities. The role combines hands-on software engineering, customer collaboration, product partnership, and pragmatic decision-making in ambiguous environments.

Lead and scale Wonderful’s ANZ marketing presence through integrated field marketing, demand generation, executive engagement, events, partnerships, PR, content, and strategic communications. Partner with regional and global teams to localize messaging, support enterprise go-to-market initiatives, acquire customers, and contribute to broader APAC growth programs.

Build and deploy AI agents that solve enterprise workflow problems. Embed with customers to understand operations, translate ambiguous needs into technical plans, develop integrated production systems, and own deployments through monitoring and continuous improvement. Measure business outcomes, iterate using real-world evidence, make pragmatic architecture and reliability tradeoffs, and collaborate with Product and Engineering to improve the platform and create reusable tools and best practices.

Lead and close complex enterprise sales across the region, develop C-level relationships, acquire new customers, expand existing accounts, and achieve pipeline and revenue targets. Maintain accurate Salesforce records, sell through a value-based approach, and collaborate with system integrators and hyperscalers. The role requires strong enterprise sales experience, executive communication, solution selling, pipeline management, and success in fast-growing AI or SaaS environments.

Build and deploy AI agents that transform enterprise workflows. Embed with customers to understand operations, create technical plans, integrate systems and data, manage deployments from prototype through production, measure outcomes, and continuously improve solutions. The role also contributes reusable tools and platform improvements while balancing architecture, reliability, speed, and user experience.

Lead enterprise AI deployments from discovery through production rollout. Define scopes, success metrics, integration plans, and deployment processes; coordinate Product, Engineering, Forward Deployed Engineers, and customer stakeholders; manage risks and blockers; support launches; monitor deployed AI agents; drive adoption, improvements, and expansion opportunities.

Lead enterprise AI deployments from discovery through production rollout. Define scopes, success metrics, integration plans, and deployment roadmaps; translate customer needs for engineering teams; coordinate Product, Engineering, and customer stakeholders; manage risks and blockers; support launches; monitor deployed agents; drive improvements, adoption, and expansion opportunities. The role involves substantial customer engagement and onsite work.

Lead Japan marketing strategy and execution across PR, content, strategic communications, ecosystem partnerships, executive engagement, and high-impact events. Drive regional brand growth, market expansion, go-to-market initiatives, and enterprise adoption while localizing global messaging for Japan. Collaborate with regional and headquarters teams across product, business, and global marketing in a fast-paced, ambiguous, high-growth environment.

Lead and close complex enterprise sales, expand strategic accounts, and acquire new customers across the region. Build relationships with C-suite and senior technology leaders, manage Salesforce pipelines and forecasts, exceed revenue targets, and sell AI-driven solutions through value-based engagement. The role also requires collaboration with system integrators and hyperscalers, strong executive communication, and success in fast-moving, early-stage environments.

Build and scale Wonderful’s platform by creating reusable software primitives, tools, agent skills, applications, and end-to-end workflows. Own internal systems including the organizational knowledge agent and demo factory, transform prototypes into stable products, and make architecture, roadmap, and product decisions across the stack. Collaborate with engineering, product, go-to-market, leadership, and customers while operating proactively in an ambiguous, fast-moving environment.

Lead enterprise AI deployments from discovery through production rollout. Responsibilities include defining scope and success metrics, translating customer needs into deployment plans, coordinating Product, Engineering, and customer stakeholders, managing risks and blockers, supporting launches, monitoring deployed agents, driving improvements, and identifying expansion opportunities. The role involves onsite customer engagement and requires strong technical communication, stakeholder management, and execution skills.

Build and deploy AI agents that transform enterprise workflows. The engineer embeds with customers to understand operational needs, designs integrations and production systems, manages deployments from prototype through launch, measures outcomes, and iterates based on real-world evidence. Responsibilities include architecture, APIs, data flows, distributed systems, monitoring, reliability, and collaboration with Product and Engineering teams to develop reusable platform tools and best practices.

Build and deploy AI agents that transform enterprise workflows. Embed with customers to understand operational needs, design technical solutions, integrate systems and data, manage production deployments, measure outcomes, and continuously improve reliability and impact. Partner with Product and Engineering to enhance the core platform and develop reusable tools and best practices from customer implementations.

Build and deploy AI agents that transform complex enterprise workflows. Embed with Japanese enterprise customers to understand operations, translate ambiguous problems into technical plans, develop production-grade backend systems and integrations, and own deployments from prototype through continuous improvement. Measure real-world outcomes, debug and iterate with customers and internal teams, and convert deployment lessons into reusable platform tools and best practices.

Build and deploy AI agents that transform complex enterprise workflows. Embed with customers to understand operations, translate ambiguous problems into technical plans, integrate systems and data, and own solutions from prototyping through production. Measure business outcomes, monitor deployments, iterate continuously, and collaborate with Product and Engineering to improve the platform and create reusable tools and best practices.

Lead enterprise AI deployments from discovery through production rollout. Define scopes, success metrics, integration plans, and deployment roadmaps; coordinate Product, Engineering, Forward Deployed Engineers, and customer stakeholders; manage risks and blockers; support launches; monitor deployed agents; drive adoption, improvements, and expansion opportunities. The role requires customer engagement, technical fluency, structured problem-solving, and frequent ownership of ambiguous execution challenges.

Lead and close complex enterprise SaaS and AI solution deals, expand strategic accounts, acquire new customers, and exceed revenue targets. Build relationships with C-suite and senior decision-makers, manage Salesforce pipeline data and forecasts, sell through business value, and navigate multi-stakeholder sales cycles. The role also requires collaboration with system integrators and hyperscalers, strong communication and negotiation skills, and success in fast-growing environments.

Lead and close complex enterprise sales across a regional market, growing existing accounts and acquiring new customers. Build relationships with C-suite and senior technology and customer service leaders, manage sales pipelines and forecasts in Salesforce, and sell AI-driven solutions based on business value. The role requires consistently exceeding revenue targets, navigating long multi-stakeholder sales cycles, generating leads, and partnering with system integrators and hyperscalers in a high-growth environment.