• Design, build, and maintain data platforms and pipelines supporting analytics, data science, BI, and AI. • Lead the evolution of Jellyfish’s Databricks Lakehouse platform. • Enable enterprise-wide agentic analytics within Databricks with trusted datasets. • Help mature core Databricks platform capabilities including Unity Catalog and platform observability. • Build and maintain ingestion pipelines for high-value data. • Partner on data flows sending trusted data to other internal systems. • Collaborate with stakeholders to understand analytical needs and design platform solutions. • Create standards and reusable patterns for data modeling, documentation, testing, and governance. • Develop tools and processes to monitor data platform health, pipeline reliability, cost, performance, and usage. • Provide technical leadership as a senior individual contributor.

• Designing and operating always-on product environments for customer demos, internal use, and stakeholder access • Building feature branch / preview environments to support UX and rapid feedback loops • Enabling internal dogfooding through real, long-running deployments of UDS products • Integrating core system components across Fleet Management, Edge Management, OS, and related services • Reducing reliance on local environments by creating shared, reproducible infrastructure • Supporting pathways toward self-service demo and trial environments • Improve system reliability by enabling continuous, real-world usage and validation • Partnering with engineering, product, and UX to ensure environments reflect real user scenarios

• Own client workstreams independently • Co-lead automation initiatives • Evolve the organisation's automation practice • Deliver high-quality automation solutions across multiple projects • Operate independently in client-facing roles

Role Description Highly skilled Salesforce Agentforce Specialist to lead the design, implementation, and governance of our autonomous AI agents. In this role, you will transform our customer service, sales, and operations by building intelligent agents that do not just chat, but actively execute tasks and workflows. You will bridge the gap between business requirements and technical AI orchestration—leveraging Data Cloud, building precise prompts, and designing multi-agent environments while adhering to strict trust and security standards. Qualifications - Experience in Salesforce Agentforce - Strong understanding of AI orchestration - Ability to design multi-agent environments - Knowledge of Data Cloud - Experience in customer service and sales transformation Requirements - Proven track record in leading design and implementation projects - Ability to work collaboratively with cross-functional teams - Strong analytical and problem-solving skills - Adherence to trust and security standards Benefits - Inclusive workplace culture - Opportunities for personal and professional growth - Commitment to well-being and work-life balance - Equal employment opportunity (EEO) and affirmative action employer