MUTT DATA

• Co-facilitate diagnostic workshops (Mini-H) with prospective clients alongside the CEO: map processes, build impact baselines, produce AS-IS and TO-BE flow diagrams. • Lead the AS-IS process mapping block of each workshop — steps, owners, systems, handoffs, failure points. • Build the business case (baseline + TO-BE agentized) that underpins every VAP proposal. • Qualify leads between the initial meeting and the workshop: confirm problem, interlocutor authority, and willingness to act. • Run the Hypothesis phase of each VAP: map financial and operational opportunity drivers, score by impact × feasibility × speed, select the first deployment target. • Document client processes with engineering-level precision: inputs, outputs, owners, systems, data flows, exception handling. • Design the AI agent blueprint for each VAP: what the agent does, what data it needs, how it integrates, what the human touchpoints are. • Manage delivery cadence: daily standups, weekly deep-dives, biweekly steering sessions. • Build and maintain standard templates for Mini-H facilitation, AS-IS mapping, and VAP scoping.

• Sell • Collaborate on Mutt's ongoing sales opportunities and leads. Respond to client RFP and service requests, sharing our value proposition and drive processes - several per month. • Help review and provide feedback for Mutt’s marketing communications pieces and presentations - once per month • Participate in networking activities such as marketing events, workshops and conferences - a few per Q. • Research and track information on possible leads, market opportunities and sales tactics from similar companies or competitors - every week. • Pipeline - Use a set of tools, frameworks, processes, and methodologies to track the sale’s pipeline progress in our CRM - on a biweekly basis. • Proposals - Create initial drafts or send consulting work proposals and iterate client contracts with the legal team - every month. • Track - Keep engagement status and oversight info updated. Add information on current status and obstacles - every week. • Account Management • Build relationships with current clients and drive them to become Mutt's champions - every week. • Help track project economics with planning and budgeting activities. Propose ideas to increase buy-in of proposed solutions from the client’s stakeholders - every month. • Identify new tracks or staffing opportunities for current accounts, based on Mutt’s offerings - once per Q. • Other Teams' Support • COO and Ops Leadership with relevant information and analysis for relevant decision-making on staffing and presentations. • Tech Leaders/Project Managers in account expectations, pain points, possible farming opportunities, and client satisfaction surveys.

• Partner with cross-functional teams to define BI and analytics requirements • Innovate with new tools to improve Muttdata's infrastructure and processes. • Design dimensional data models and build scalable data pipelines • Develop data models to feed dashboards for teams across the org, as well as client-facing analytics • Develop tools for the team and assist in tech migrations and model design. • Build scalable, high-performance data architectures. • Focus on code quality—review, document, test, and integrate CI/CD.

• Own and maintain HubSpot, ensuring data accuracy and reliability. • Design and optimize workflows, automations, and operational processes. • Manage lifecycle stages and lead management processes. • Build dashboards and reports that support business decisions. • Improve alignment and handoff processes between Marketing and Sales. • Analyze and improve key funnel, pipeline, and conversion metrics. • Provide operational support for marketing initiatives, campaigns, and events.

• Own and consistently exceed an aggressive revenue quota, driving high-value deals across new and existing accounts. • Lead and advance Mutt’s sales opportunities end-to-end, from lead qualification to closing, ensuring a strong and predictable pipeline. • Manage and respond to multiple client RFPs and service requests per month, crafting compelling value propositions and differentiated solutions. • Actively participate in networking activities (events, workshops, conferences) to generate high-quality pipeline and strategic relationships. • Continuously research market trends, competitors, and emerging opportunities to refine sales strategy and positioning. • Maintain a disciplined, data-driven pipeline using CRM tools, ensuring accuracy, forecasting reliability, and proactive deal progression. • Develop, present, and iterate high-quality proposals and commercial offers, working closely with legal and leadership on contract negotiations. • Identify risks, blockers, and opportunities across the pipeline, taking proactive actions to maximize conversion rates and deal size. • Build and nurture strong relationships with key client stakeholders, turning them into long-term partners and advocates. • Drive account expansion and revenue growth, identifying upsell and cross-sell opportunities aligned with Mutt’s capabilities. • Collaborate on account planning, budgeting, and project economics to maximize client value and profitability. • Proactively identify new initiatives, projects, and staffing opportunities within existing accounts on a quarterly basis. • Partner with COO and Operations leadership, providing insights and analysis to support strategic decisions (staffing, pricing, deal strategy).

• Design, develop, deploy, and maintain an enterprise-wide Agentic AI Developer Platform that enables and standardizes the development of AI agents across the organization. • Implement and operate platform components, integrations, frameworks, and supporting infrastructure required to deliver scalable and reliable agentic AI solutions. • Collaborate with architects and technical stakeholders to translate platform designs into production-ready implementations, ensuring alignment with security, governance, and engineering standards. • Manage the lifecycle of the platform, including deployment automation, monitoring, troubleshooting, performance optimization, and operational support. • Evaluate, integrate, and customize existing AI platforms, orchestration tools, frameworks, and cloud-native services to build a cohesive developer experience. • Create abstractions, reusable components, and development standards that accelerate agent development while maintaining consistency across teams. • Provide technical guidance and mentorship to junior and mid-level engineers, promoting engineering best practices and knowledge sharing. • Work autonomously on complex technical initiatives, taking ownership of implementation, delivery, and operational excellence with minimal supervision. • Partner with cross-functional teams to understand business requirements and continuously improve platform capabilities, scalability, and developer productivity. • Contribute to platform documentation, operational procedures, and governance practices to ensure long-term maintainability and adoption across the organization.

• Co-develops batch and streaming pipelines, semantic models, and transformations on Databricks (Python/Spark). • Defines and maintains data contracts, quality rules, and data SLOs for each data product. • Guides domain teams on data modeling and data product boundaries (what belongs to which product/domain). • Trains, mentors, and pairs with domain engineers/analysts on data product ownership and good engineering practices. • Captures feedback and best practices from domains and feeds improvements back into platform templates, tooling, and patterns.

• Design, build, and maintain production recommendation systems at consumer scale. • Develop ranking and retrieval models to improve personalization and user experience. • Own ML pipelines end-to-end, from feature engineering and training to deployment and monitoring. • Collaborate with client stakeholders and engineering teams to deliver scalable ML solutions. • Analyze large-scale user behavior data and run A/B tests to optimize recommendation performance. • Improve reliability, scalability, and latency of production ML systems on AWS/GCP/Azure.

• Design and build backend services for reporting, dashboards, and analytics. • Ensure high standards of code quality, scalability, reliability, and performance. • Participate in architectural decisions and document technical designs. • Collaborate with Product and Design to deliver high-impact features. • Implement testing and monitoring to ensure production stability. • Mentor engineers and contribute to improving backend development practices.

• Help create and publish job postings on our website and job boards. • Assist in sourcing potential candidates using ATS and external platforms. • Support in reviewing candidate applications and shortlisting profiles. • Keep the Lever ATS updated with candidate status, salary expectations, and other key info. • Schedule interviews and coordinate with interviewers. • Ensure a smooth and positive candidate experience through timely communications. • Collaborate with hiring teams to track interview feedback and next steps. • Assist in drafting and reviewing offer letters. • Learn and apply our internal recruitment processes and tools.