hyperexponential

Revenue Operations

• Own the end-to-end Revenue Operations strategy across Sales, Marketing and Customer
• Create one coherent operating system across the full funnel
• Oversee forecasting, pipeline management, territory and capacity planning, target setting and performance management
• Run and optimize commercial operating cadences, including QBRs and Pipeline Councils
• Redesign workflows around AI and automation
• Identify where judgement matters, where work can be automated, and where technology can increase human leverage
• Partner with Sales, Marketing, Customer, Finance and Strategy leadership on growth planning, resource allocation and major commercial decisions
• Own the RevOps technology roadmap and ensure systems architecture supports the multi-product and multi-market business
• Lead Revenue Operations in a company building an agentic platform for commercial insurance underwriting

Revenue Operations Leader – Senior Director/VP

Engineer

• Move customer teams from hx-led build to independent delivery, shifting effort from pairing toward review and advisory
• Keep every engagement moving to its prescribed path, sequencing services to each customer's build stage
• Deliver structured enablement sessions covering architecture, coding best practice, testing and deployment, and model lifecycles
• Run code review as a consistent, standards-anchored service
• Evolve hx's model development standards where reviews expose gaps
• Provide drop-in support shaped by each customer's build stage, resolving most issues in session rather than escalating
• Make Developer+ repeatable by documenting delivery and using AI to scale capacity
• Convert delivery knowledge into hx Academy content
• Act as the technical voice of the customer into Product, feeding back recurring friction
• Work closely with the wider Delivery Engineering team and Product

Senior Delivery Engineer

People Operations

• Build AI tooling for the People and Talent function, including agents, document-drafting skills, and workflows connecting systems.
• Build the People reporting layer with dashboards covering retention, attrition, and engagement.
• Interpret People data and provide meaningful insights, not just metrics.
• Connect hiring and pipeline data with People data so leaders can interrogate the combined view.
• Learn and improve people processes, beginning with onboarding, payroll data integrity, and the performance cycle.
• Support performance review cycles in Lattice and engagement surveys.
• Analyse engagement and performance outputs.
• Automate manual parts of People processes.
• Maintain accurate HRIS records and reporting.
• Troubleshoot HRIS systems.

Revenue Operations Leader – Senior Director/VP

Senior Delivery Engineer

People Operations Associate – AI, Automation