Rwazi

• You own the discipline of attracting high-intent participants — not leads, not impressions, not clicks. • You build the systematized growth engine that scales us into new geographies and deepens density in existing ones. • You operate globally from Day 1. • A participant acquisition engine that compounds: organic loops, referral mechanics, community partnerships, agentic outreach, geo-specific channel mapping • Automation and agentic workflows (LLMs for outreach personalization, scrapers for community discovery, Make/n8n/Zapier-style orchestration, lightweight SQL) — scaling acquisition without scaling headcount • Geographic unlocks driven by client demand and supply-side economics • The metrics that matter: cost per activated participant, completion rate, repeat-task rate, lifetime task count by market • Weekly experiments. Kill losers in two weeks. Double down on winners.

• Oversee the end-to-end experience of a data-rich, AI-native enterprise platform • Influence product development and design decisions • Design the AI-first conversational experience alongside dashboards and reporting tools • Collaborate continuously with product and engineering teams

• Design an enterprise-grade SaaS experience that drives repeat usage • Embed viral and expansion mechanics within a B2B platform • Align UX with revenue metrics (account expansion, frequency, referrals) • Build and maintain a scalable design system • Elevate design as a strategic growth lever • Design habit-forming workflows that increase session frequency • Embed internal sharing, collaboration, and referral triggers • Align feature UX with enterprise buying cycles and expansion logic • Convert satisfied users into internal advocates across departments • Define and maintain scalable UX and visual systems • Establish global UX patterns suitable for enterprise audiences • Ensure consistency across dashboards, analytics, and workflow modules • Continuously refine usability as platform complexity grows • Design interfaces that encourage deeper data exploration • Optimize dashboards and alerts to increase recurring engagement • Partner with Product and Sales to align design with revenue goals • Own the full design lifecycle from concept to post-launch optimization • Prototype rapidly and test with real users • Partner closely with Engineering to ensure high-fidelity execution • Use analytics, A/B testing, and feedback loops to refine continuously • Collaborate with Product, Engineering, Sales, and Customer Success • Present design strategy and outcomes to executive leadership • Translate complex data functionality into intuitive experiences

• Own end-to-end execution across RM and CI deployments • Maintain operational predictability across geographies, time zones, and product types • Establish clear escalation pathways and risk thresholds • Design global contributor acquisition and reactivation systems • Optimize throughput per city and per log • Align incentives with delivery velocity and QA quality • Lead the QA function as a control system, not just a review layer • Define pass-rate thresholds, rejection logic, and retraining loops • Ensure data meets client-facing standards without threshold dilution • Track and optimize cost-per-approved submission • Forecast fulfillment timelines based on early signal velocity • Prevent margin leakage through structural discipline • Build Plan A/B/C routing for all major deployments • Mitigate risks related to geography gaps, contributor churn, or platform failures • Reduce late-stage surprises through early signal detection • Align Operations with Sales timelines and client SLAs • Collaborate with Engineering to strengthen execution tooling • Partner with Community to sustain contributor engagement • Hire, train, and manage regional operations leads • Define performance standards and accountability structures • Build a culture of execution discipline and ownership

• Source participants across multiple countries and user types • Build partnerships with communities, groups, and networks • Run scrappy growth experiments (referrals, incentives, outreach) • Own logs end-to-end once supply is live • Track daily progress and adjust quickly • Work closely with QA and Ops to ensure quality and speed

• Own full-cycle enterprise sales (land and expand) • Close new enterprise subscription revenue • Drive expansion within multi-department enterprise accounts • Maintain predictable forecast accuracy • Represent Rwazi at executive buyer level

• Design scalable pricing frameworks • Align pricing with cost-to-deliver realities • Increase margin while preserving competitiveness • Standardize discount governance • Design product tiering and packaging logic • Define usage-based, subscription, and hybrid pricing models • Align RM/CI delivery economics with client pricing • Analyze win/loss and discount patterns • Establish approval frameworks for custom pricing • Identify expansion and upsell monetization pathways • Conduct competitive benchmarking • Maintain pricing defensibility across segments

• Evaluating decision outputs for logical integrity and sound reasoning • Identifying patterns of judgment failure or inconsistency • Designing structured feedback loops to improve AI reasoning • Training and refining AI judgment frameworks • Defining measurable standards for decision quality • Review system outputs for logical coherence and reasoning rigor • Assess signal interpretation accuracy • Identify tradeoff miscalculations or flawed inference pathways • Document recurring reasoning gaps • Create structured examples to refine reasoning performance • Develop edge-case libraries for training robustness • Formalize evaluation rubrics for decision quality • Collaborate with R&D to improve reasoning architecture • Define measurable criteria for decision-grade output • Track improvements in reasoning consistency • Monitor drift in output quality over time • Establish acceptance thresholds for release • Identify systemic reasoning weaknesses • Surface blind spots in signal modeling • Propose structured adjustments to logic layers • Escalate structural flaws early • Partner with Product to align quality with roadmap goals • Collaborate with R&D on advanced reasoning improvements • Provide structured feedback to Engineering when system behavior deviates

• Maintaining executive documentation rigor • Structuring meetings into clear outputs and actions • Tracking cross-functional commitments • Supporting board and planning cycles • Reducing cognitive load on the CEO • Capture high-quality, structured notes in executive and board meetings • Translate discussions into clear action items with owners and deadlines • Maintain organized, searchable documentation systems • Draft memos, summaries, and internal briefs • Support quarterly and annual planning processes • Assist in preparing board decks and executive materials • Maintain visibility over key company-wide priorities • Ensure follow-through across functional leaders • Track execution commitments across teams • Follow up on deadlines and deliverables • Escalate slippage early and objectively • Maintain structured dashboards of ongoing initiatives • Manage executive scheduling and prioritization • Coordinate internal and external communications • Maintain high professional standards in all outputs

• Own full-cycle enterprise sales (land and expand) • Maintain predictable forecast accuracy • Navigate complex buying committees • Align product capabilities with enterprise pain points • Close multi-year subscription contracts • Drive expansion within multi-department enterprise accounts