realfast

• Own the delivery plan for client engagements — milestones, dependencies, resource allocation, and critical path • Drive delivery cadence with clients — standups, sprint reviews, steering meetings, and escalation protocols • Track progress against commitments and flag risks before they become blockers • Coordinate across engineering, consulting, QA, and client teams to keep workstreams aligned • Use AI tools to automate status synthesis, dependency tracking, and delivery reporting • Identify cross-workstream dependencies early and manage them through delivery • Maintain a live risk register and drive mitigation actions — not just document risks, resolve them • Serve as the delivery point of contact for clients alongside the engagement lead • Run structured delivery communications — progress updates, milestone reviews, change requests • Hold delivery accountability with the client — when timelines shift, you own the conversation • Improve delivery processes based on retrospectives and engagement patterns • Configure and maintain project management tooling to support delivery visibility

• Build stuff that solves real problems, using whatever tech gets the job done best. • Get your hands dirty with everything from front-end, back-end, to data pipelines and AI models. • Make smart trade-offs between beautiful code and shipping fast (hint: we bias toward shipping).

• Lead product development, problem-solving, and proof-of-concepts within your stream of work • Work directly with customers and stakeholders — including users, data scientists, and cross-functional teams — to design and implement solutions • Prioritise strategically, balancing quality, technical debt, and delivery timelines • Champion delivery excellence by boosting predictability, quality, and throughput • Deconstruct complex engineering problems and deliver robust solutions • Improve code architecture with a focus on testability and maintainability • Make smart trade-offs between beautiful code and shipping fast — we bias toward shipping • Unblock and support team members to address challenges impacting delivery • Set the standard for engineering best practices and first-principles thinking — be someone the team looks up to in terms of craft • Build AI-powered solutions, including developing, fine-tuning, and integrating LLMs to enhance products, automate tasks, and drive innovation • Help build the team by mentoring engineers and finding other smart people

• Facilitate workshops with client stakeholders to surface operational friction • Map current-state workflows with enough precision to support a business case • Classify work breakdown into Automate, Augment, or Connect categories • Run sweet spot analysis — finding the intersection of business metrics, repeatable workflows, and existing data • Build evidence-based ROI frameworks grounded in real workflows, not assumptions • Define engagement scope: one workflow, one business metric, one delivery horizon • Serve as the day-to-day client point of contact • Translate between client business language and the technical delivery team • Manage stakeholder communications and progress narratives • Hold scope boundaries against client requests • Coordinate before/after business impact measurement • Prepare end users for adoption — ensuring AI embeds in workflows, not bolts on • Drive documentation and handover coordination • Identify and frame the expansion path for the next phase • Brief the senior partner on account development opportunities