• Deliver best-in-class Digital Innovation workshops to apprenticeship learners • Teach learning content to groups of apprenticeship learners via virtual workshops • Work with Learner Success Coaches (LSCs) to ensure learners progress through the programme • Contribute to product improvement and content development • Maintain timekeeping and classroom management

• Create innovative, thought provoking, and highly leveraged “must-have insights” content • Develop new insights and ideas through thought leadership • Develop in-depth analysis to identify root cause of client’s barriers or overall needs • Demonstrate thought leadership in establishing Insights positions across a team of analysts • Research, analyze and predict market trends and shifts • Provide clients and prospects with actionable advice aligned to their designated content area • Create and deliver high value presentation materials for Gartner events and client briefings • Provide sales support serving as voice of the market • Build credibility as an industry expert • Identify research process improvements

• Define and own the internal AI tooling roadmap, prioritizing by business impact and feasibility. • Partner with department leads (Sales, Support, Engineering, Finance, etc.) to surface automation opportunities. • Evaluate and select AI models, platforms, and SaaS tools that fit our stack and budget. • Prototype, build, and ship AI-powered internal tools — chatbots, workflow automations, document processors, and data pipelines. • Integrate LLMs and AI APIs (OpenAI, Anthropic, etc.) into existing systems via APIs, Zapier, Make, or custom code. • Maintain a library of reusable prompt templates, fine-tuned workflows, and automation playbooks. • Provide regular and on demand training across the organization. • Establish guardrails, usage policies, and monitoring for AI tools used internally in cooperation with our Legal team and CISO. • Track cost, quality, and adoption metrics for every tool deployed; iterate based on data. • Ensure all tooling meets security, privacy, and compliance standards.

• Own the full product loop independently: AI-augmented discovery → story/spec → prototype → production PR → outcome measurement. You are accountable for the outcome, not just the handoff. • Independently conduct customer discovery and use AI tools to synthesize research across tickets, interviews, behavioral data, and competitive signals. • Demonstrate deep functional and technical knowledge of owned products end-to-end. Independently demo to merchants and partners; understand competitive landscape and key differentiators. • Use AI tools independently to analyze product metrics, identify usage patterns, and surface anomalies. Define success metrics and kill thresholds at spec time without coaching. • Maintain a prioritized automation roadmap ranked by impact × speed. Use AI tools to synthesize competitive intelligence, market trends, emerging warehouse automation capabilities, and customer insight into strategic inputs. • Identify the highest-leverage productivity and quality opportunities in ShipBob’s fulfillment operations. Evaluate automation hardware options, recommend the right strategic fit, and own the WMS-side product work that integrates them into the floor. • Independently evaluate whether a proposed solution fits ShipBob's architecture without Engineering translation. Understand service boundaries, data structures, and how merchant and partner API usage shapes data contracts. • Independently route changes through prototype-then-PR. Write clear story/specs and review AI-generated code before raising. PR promotion rate improves consistently. • Set experiment hypotheses with explicit kill thresholds. Make day-7 rollout/kill decisions on AI-surfaced data. • Additional duties and responsibilities as necessary.