Drive co-sell pipeline development and revenue growth — identify, qualify, and advance joint opportunities with public sector end-customers, articulating the differentiated value of the partner's AI models deployed on AWS infrastructure (including GovCloud and classified environments)
Navigate public sector compliance and security requirements as they pertain to the partner's model deployment, data residency, and end-customer procurement pathways
3+ years of business development, partnership management, or sourcing new business experience
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Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development.
Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends.
Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally.
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Lead change management initiatives by driving internal communications, seller communications, stakeholder engagement, and enablement activities to maximise adoption of AI solutions.
Coordinate UAT, pilot programmes, rollout readiness, and launch activities to ensure solutions meet business requirements and are ready for deployment.
Monitor project progress, adoption metrics, user feedback, and business performance, providing insights and recommendations to improve AI solutions and implementation outcomes.
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Design and integrate AI-enabled workflows directly into the engineering stack including Git, Jira and CI/CD pipelines to automate processes and maximize developer throughput
Consult with stakeholders to translate complex business requirements into AI-SDLC augmented technical solutions
Articulate the trade-offs of agentic design and ensure alignment with enterprise goals
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This is a pure growth-focused, enterprise hunter role for a commercially driven sales professional who thrives on building pipeline, closing complex deals, and shaping the future of AI with global clients.
You will own the full new business lifecycle across APAC, selling high-value AI Data, LLM training, and digital operations solutions to enterprise customers.
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Build and operate the harder engineering layers of a solution when projects demand it: orchestrated pipelines, worker-based and event-driven architectures, stream processing, and scaling for data volume and concurrency.
Own solution quality: data validation, model evaluation, reproducibility, performance, and operational reliability (monitoring, alerting, failure recovery).
Lead and mentor a team of junior data scientists and analysts; review their work, unblock them technically, and grow their skills.
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