• Lead the design, architecture, and implementation of large-scale data platform projects on Snowflake, AWS, and Azure. • Guide technical teams through data migration, integration, and performance optimization. • Identify opportunities for automation and performance optimization to enhance client’s data platform capabilities. • Lead data migration to cloud platforms (e.g., Snowflake, Redshift), ensuring smooth integration of data lakes, data warehouses, and distributed systems. • Setting up a client's data platform with industry best practices & robust security standards including Data Governance. • Adapt to ongoing changes in platform environment, data, and technology by debugging, enhancing features, and re-engineering as needed. • Plan ahead for changes to upstream data sources to minimize impact on users and systems, ensuring scalable adoption of modern data platforms. • Manage multiple customer engagements to ensure timely project delivery, optimize operations to prevent resource overruns, and maximize platform ROI. • Serve as a trusted advisor, offering strategic guidance on data platform optimization and addressing technical challenges to meet business goals. • Partner with sales, engineering, and support teams to ensure seamless project delivery and high customer satisfaction. • Provide mentorship and technical guidance to junior engineers, promoting a culture of continuous learning and excellence.

• Propose, design, and provision cloud-native data solutions on AWS/Azure. • Lead a technical team operating and managing modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack. • Provide clear ownership of multiple simultaneous customer accounts across a variety of technical stacks as the technical leader. • Skillfully navigate complex customer environments and build Epics, Stories, and Tasks in order to mature and improve our customers’ data platform. • Provide thought leadership by recommending the right technologies and approaches to maturing and solving problems to help ensure performance, security, scalability, and user satisfaction. • Lead discussions and contribute to design recommendations for data model design for Data Warehouses and Data Lakes. • Continually hunt for ways to automate, optimize, and expand our customers’ data platform and our service offering.

• Lead complex Professional Services engagements focused on AI-enabled and traditional software delivery, aligning customer goals with LaunchDarkly best practices. • Partner with customers to design and implement feature management strategies for AI systems, including LLM-powered applications, agentic workflows, and internal AI platforms. • Advise customers on safe rollout patterns for AI, such as progressive exposure, guardrails, kill switches, and experimentation for model behavior and prompts. • Support customers building and operating chatbots, copilots, and agent-based systems, helping them integrate LaunchDarkly into inference-time and workflow-level decisions. • Apply a consultative approach to understand customer architectures, gather detailed requirements, and influence key technical and organizational decisions. • Act as a trusted technical advisor to engineering, platform, DevOps, and AI leaders. • Identify and resolve technical obstacles that hinder value realization, particularly in complex, distributed, or AI-driven systems. • Establish yourself as a subject matter expert on LaunchDarkly and emerging AI delivery patterns, continuously evolving your expertise as the landscape changes. • Advocate for customers by synthesizing feedback and collaborating with Product and Engineering teams to shape future AI-related capabilities.

• Join various remote & occasional on-site demonstration meetings with sales reps to help answer technical/operational accounting questions. • Conduct in-depth value based product demonstrations to prospects and customers. • Participate in webinars, trade-shows and industry events to promote the product. • Elevate sales team’s accounting knowledge to better understand & cater to prospect needs. • Continuously strategize with direct sales team members on positioning, objection handling, and next steps. • Lead various internal training sessions to enhance accounting knowledge. • Leverage statistical analysis of each stage within the sales cycle to place additional emphasis on areas of need. • Coordinate with product, support & setup team(s) to understand and provide feedback for roadmap developments, standard support inquiries with respect to cloud storage partners & act as a liaison between direct sales & setup team to ensure a smooth implementation. • Collaborate with Marketing to support the development of collateral. • Effectively communicate intangible or cultural impact experienced by sales reps on the floor. • Provide a deeper understanding to the direct sales team as to why current clients have purchased FloQast (experience, stories, etc.) • Assist partnership/consulting team in running demonstrations for PE and/or Accounting firms. • Assist Customer Success team by joining calls with current clients to address accounting-related questions. • Have a detailed understanding of the current competitive landscape to act as a subject matter expert to direct sales & partnership teams when outlining differences between FloQast and others in the marketplace. • Organize IT / sales collateral necessary for the direct sales team. • Increase individual close rates. • Assist in technical or IT evaluations regarding the FloQast application. • Travel will be required up to 25%.