• As a BDR/SDR, you are the first point of contact for our leads • Use personalized outreach to ensure our solution is successfully introduced to the market • Anticipate objections and questions before they arise and develop targeted customer acquisition strategies • Create growth channels by identifying new market opportunities and pursuing innovative approaches • Maintain and organize your own sales pipeline in HubSpot CRM • Collaborate closely with Sales, Marketing, Customer Success, and Product teams • Your input and market insights are essential for continuously improving the teams and actively shaping the development of our sales strategy • Drive our mission to bring better work–life balance and (mental) health into companies

• Learn and master the AI technologies used to create agents. • Translate business ideas into practical AI agents. • Develop, test, and deploy AI agents that address business challenges. • Collaborate with stakeholders across the business to understand needs and requirements. • Plan and manage the end-to-end delivery of AI agent projects, including working closely with product teams. • Maintain organisational standards and ensure timely project completion. • Establish and monitor key performance indicators (KPIs) to track the success of AI agents. • Provide regular performance reports to the Head of AI and the Editorial Director. • Stay abreast of the latest developments in AI agent technology and Microsoft Copilot. • Apply new insights and best practices to enhance the performance of AI agents. • Contribute to the strategic direction of AI initiatives within the organisation. • Work closely with editorial teams and other areas of the business. • Ensure that AI solutions are aligned with broader business objectives. • Communication with both technical teams and non-technical stakeholders.

• Design and build **multi-agent benchmark tasks** involving: • Planning, scheduling, and resource allocation • Operational decision-making (logistics, project planning, incident response, capacity planning) • Create **constraint-rich problem statements** with multiple interacting variables • Develop **verification scripts** to evaluate: • Feasibility (all constraints satisfied) • Completeness (all requirements met) • Optimality (efficiency of solutions) • Define **task decomposition strategies** across specialized sub-agents (e.g., resource allocation, constraint resolution, optimization) • Model realistic operational systems with **dependencies, timelines, and constraints** • Implement validation logic and evaluation pipelines using Python • Work with Docker environments for reproducibility and execution • Collaborate with internal teams to improve **task quality, coverage, and evaluation rigor**

• Design and build **multi-agent benchmark tasks** requiring multi-step mathematical reasoning and algorithmic problem-solving • Create **complex, decomposable problems** across domains such as: - Competition mathematics - Numerical analysis - Combinatorial optimization - Statistical inference • Develop **verification scripts** to validate: - Numerical outputs (with tolerance thresholds) - Proof correctness and logical steps - Algorithmic outputs and constraints • Write **clear, structured problem statements** with precise notation and defined outputs • Design **task decomposition strategies** for parallel or multi-agent execution • Implement computational solutions and validation pipelines using Python • Work with containerized environments (Docker) for reproducibility and evaluation