DoiT International

• Set meetings via outbound prospecting through both automated and manually-driven campaigns to achieve daily and monthly pipeline targets. • Partner closely with Account Executives to ensure tight alignment on territory planning, account prioritization, and feedback loops to maximize pipeline quality. • Help build and refine our outbound motion by identifying and reaching decision-makers. • Build, manage, and optimize multi-channel outbound campaigns at scale using various tools like LinkedIn Sales Navigator, ZoomInfo, Clay, etc. • Own the outbound process end-to-end, from detailed account research to ensuring a qualified meeting is successfully booked for the Account Executive team. • Partner with leadership to refine messaging, call scripts, and multi-channel outreach strategies to improve conversion rates and outbound effectiveness. • Support Regional GTM & Marketing activities across digital and onsite formats. • Clearly communicate compelling value propositions to technical buyers and stay current with the latest product and service information. • Stay current with the latest offering/product/service information • Some travel may be required

• Collaborating with the Account Executive to thoroughly understand the prospect's technical environment, Cloud Data Platform cost challenges, cost optimization goals, and key business objectives through in-depth technical discovery sessions. • Owning and driving the technical validation and Proof of Value (POV) exercises for SELECT. This includes meticulous POC preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements. • Tailoring and delivering compelling SELECT platform demonstrations to prospects, effectively showcasing its capabilities and addressing their specific use cases and concerns. • Leveraging your analytical skills and deep understanding of Cloud Data Platform to develop compelling business cases and robust ROI analyses that clearly articulate the tangible value, cost savings, and performance improvements achievable with SELECT. • Becoming the go-to expert within the company for SELECT, ensuring prospects achieve optimal results and a seamless implementation experience. • Taking full ownership of the technical win for SELECT engagements, guiding prospects through the technical evaluation process, addressing all technical requirements, and building technical confidence in the solution. • Representing DoiT and SELECT at company events and industry conferences, delivering engaging presentations and demonstrations to a wider audience, showcasing our Snowflake/Databricks (and soon BigQuery) optimization expertise as well as platform capabilities. • Translate customer pain points and feature gaps into structured, technically credible input for R&D teams. Represent the voice of the technical customer in roadmap discussions. • Ensure timely entry of data into internal business support solutions. Contribute to systems and tools to provide key business information and metrics to highlight performance and effectiveness.

• Collaborating with the Account Executive to thoroughly understand the prospect's technical environment, Kubernetes challenges, cost optimization goals, and key business objectives through in-depth technical discovery sessions. • Owning and driving the technical validation and Proof of Concepts (POCs) specifically for PerfectScale. This includes meticulous POC preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements. • Developing and delivering compelling and tailored PerfectScale platform demonstrations to prospects, effectively showcasing its capabilities and addressing their specific use cases and concerns. • Leveraging your analytical skills and deep understanding of Kubernetes to develop compelling business cases and robust ROI analyses that clearly articulate the tangible value, cost savings, and performance improvements achievable with PerfectScale. • Becoming the go-to expert within the company for PerfectScale, ensuring prospects achieve optimal results and a seamless implementation experience. • Taking full ownership of the technical win for PerfectScale engagements, guiding prospects through the technical evaluation process, addressing all technical requirements, and building technical confidence in the solution. • Representing DoiT and PerfectScale at company events and industry conferences, delivering engaging presentations and demonstrations to a wider audience, showcasing our Kubernetes optimization expertise and platform capabilities. • Ensuring timely entry of data into internal business support solutions. Contribute to systems and tools to provide key business information and metrics to highlight performance and effectiveness.

• Collaborating with the Account Executive to thoroughly understand the prospect's technical environment, Cloud Data Platform cost challenges, cost optimization goals, and key business objectives through in-depth technical discovery sessions. • Owning and driving the technical validation and Proof of Value (POV) exercises for SELECT. This includes meticulous POC preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements. • Tailoring and delivering compelling SELECT platform demonstrations to prospects, effectively showcasing its capabilities and addressing their specific use cases and concerns. • Leveraging your analytical skills and deep understanding of Cloud Data Platform to develop compelling business cases and robust ROI analyses that clearly articulate the tangible value, cost savings, and performance improvements achievable with SELECT. • Becoming the go-to expert within the company for SELECT, ensuring prospects achieve optimal results and a seamless implementation experience. • Taking full ownership of the technical win for SELECT engagements, guiding prospects through the technical evaluation process, addressing all technical requirements, and building technical confidence in the solution. • Representing DoiT and SELECT at company events and industry conferences, delivering engaging presentations and demonstrations to a wider audience, showcasing our Snowflake/Databricks (and soon BigQuery) optimization expertise as well as platform capabilities. • Translate customer pain points and feature gaps into structured, technically credible input for R&D teams. Represent the voice of the technical customer in roadmap discussions. • Ensure timely entry of data into internal business support solutions. Contribute to systems and tools to provide key business information and metrics to highlight performance and effectiveness.

• Collaborating with the Account Executive to thoroughly understand the prospect's technical environment, Cloud Data Platform cost challenges, cost optimization goals, and key business objectives through in-depth technical discovery sessions. • Owning and driving the technical validation and Proof of Value (POV) exercises for SELECT. This includes meticulous POC preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements. • Tailoring and delivering compelling SELECT platform demonstrations to prospects, effectively showcasing its capabilities and addressing their specific use cases and concerns. • Leveraging your analytical skills and deep understanding of Cloud Data Platform to develop compelling business cases and robust ROI analyses that clearly articulate the tangible value, cost savings, and performance improvements achievable with SELECT. • Becoming the go-to expert within the company for SELECT, ensuring prospects achieve optimal results and a seamless implementation experience. • Taking full ownership of the technical win for SELECT engagements, guiding prospects through the technical evaluation process, addressing all technical requirements, and building technical confidence in the solution. • Representing DoiT and SELECT at company events and industry conferences, delivering engaging presentations and demonstrations to a wider audience, showcasing our Snowflake/Databricks (and soon BigQuery) optimization expertise as well as platform capabilities. • Translate customer pain points and feature gaps into structured, technically credible input for R&D teams. Represent the voice of the technical customer in roadmap discussions. • Ensure timely entry of data into internal business support solutions. Contribute to systems and tools to provide key business information and metrics to highlight performance and effectiveness.

• Collaborating with the Account Executive to thoroughly understand the prospect's technical environment, Cloud Data Platform cost challenges, cost optimization goals, and key business objectives through in-depth technical discovery sessions. • Owning and driving the technical validation and Proof of Value (POV) exercises for SELECT. This includes meticulous POC preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements. • Tailoring and delivering compelling SELECT platform demonstrations to prospects, effectively showcasing its capabilities and addressing their specific use cases and concerns. • Leveraging analytical skills and deep understanding of Cloud Data Platform to develop compelling business cases and robust ROI analyses that clearly articulate the tangible value, cost savings, and performance improvements achievable with SELECT. • Becoming the go-to expert within the company for SELECT, ensuring prospects achieve optimal results and a seamless implementation experience. • Taking full ownership of the technical win for SELECT engagements, guiding prospects through the technical evaluation process, addressing all technical requirements, and building technical confidence in the solution. • Representing DoiT and SELECT at company events and industry conferences, delivering engaging presentations and demonstrations to a wider audience, showcasing our Snowflake/Databricks (and soon BigQuery) optimization expertise as well as platform capabilities. • Translating customer pain points and feature gaps into structured, technically credible input for R&D teams. Represent the voice of the technical customer in roadmap discussions. • Ensuring timely entry of data into internal business support solutions. Contribute to systems and tools to provide key business information and metrics to highlight performance and effectiveness.

• Collaborating with the Account Executive to understand the prospect's technical environment • Owning and driving the technical validation and Proof of Concepts (POCs) • Developing and delivering compelling product demonstrations • Leveraging analytical skills to develop business cases and robust ROI analyses • Becoming the go-to expert within the company for the platform • Taking full ownership of the technical win for engagements • Representing the company at events and industry conferences • Ensuring timely entry of data into internal business support solutions

• Deliver high-impact AI engagements • Lead hands-on delivery for GenAI implementation engagements, funded implementation projects, technical proof-of-value engagements, and other customer-facing AI initiatives. • Translate customer goals into practical architectures, implementation plans, and measurable technical outcomes. • Build, configure, and validate AWS-native AI and data solutions, with emphasis on production-ready architectures and services. • Own technical execution from discovery through delivery, including design reviews, workshops, implementation support, and executive-ready readouts. • Step into complex customer situations where technical depth, speed, and credibility are required. • Drive outcomes across the four FE growth pillars • Support product adoption by helping customers implement and integrate DoiT products as part of AI engagements and broader cloud initiatives. • Contribute to new logo acquisition by using technical consulting, implementation engagements, and proof-of-value work to help open and progress new opportunities. • Expand the install base by helping existing customers adopt advanced features, launch new workloads, and move to higher-value product and service motions. • Strengthen partner leadership by collaborating with AWS partner teams, supporting funded programs, and helping DoiT show up as a strategic technical partner in AI-related motions. • Turn field work into repeatable plays • Identify patterns, reusable assets, and “gravel road” solutions that should become standard delivery approaches, playbooks, or product feedback. • Help move successful one-off customer work into repeatable solution packages, templates, and standardized offerings for the broader team. • Contribute to standardization of engagement sizing, delivery approach, and technical assets to improve team efficiency over time. • Work cross-functionally to close and deliver • Partner closely with Solution Engineers, Account Managers, Customer Success Managers, Engagement Managers, and partner teams to scope and execute the right work at the right time. • Provide technical leadership during discovery, planning, handoff, and delivery. • Help ensure customer engagements are well-scoped, well-documented, and tied to clear success criteria. • Operate with discipline • Maintain clear visibility into active work, risks, dependencies, and next steps. • Use the team’s operating systems and workflows to keep customer engagement data current and measurable. • Contribute to adoption playbooks, funding workflows, Jira hygiene, and the management cadence needed to scale the Field Engineering model.

• Deliver high-impact AI engagements • Lead hands-on delivery for GenAI implementation engagements, funded implementation projects, technical proof-of-value engagements, and other customer-facing AI initiatives. • Translate customer goals into practical architectures, implementation plans, and measurable technical outcomes. • Build, configure, and validate AWS-native AI and data solutions, with emphasis on production-ready architectures and services. • Own technical execution from discovery through delivery, including design reviews, workshops, implementation support, and executive-ready readouts. • Step into complex customer situations where technical depth, speed, and credibility are required. • Drive outcomes across the four FE growth pillars • Support product adoption by helping customers implement and integrate DoiT products as part of AI engagements and broader cloud initiatives. • Contribute to new logo acquisition by using technical consulting, implementation engagements, and proof-of-value work to help open and progress new opportunities. • Expand the install base by helping existing customers adopt advanced features, launch new workloads, and move to higher-value product and service motions. • Strengthen partner leadership by collaborating with AWS partner teams, supporting funded programs, and helping DoiT show up as a strategic technical partner in AI-related motions. • Turn field work into repeatable plays • Identify patterns, reusable assets, and “gravel road” solutions that should become standard delivery approaches, playbooks, or product feedback. • Help move successful one-off customer work into repeatable solution packages, templates, and standardized offerings for the broader team. • Contribute to standardization of engagement sizing, delivery approach, and technical assets to improve team efficiency over time. • Work cross-functionally to close and deliver • Partner closely with Solution Engineers, Account Managers, Customer Success Managers, Engagement Managers, and partner teams to scope and execute the right work at the right time. • Provide technical leadership during discovery, planning, handoff, and delivery. • Help ensure customer engagements are well-scoped, well-documented, and tied to clear success criteria. • Operate with discipline • Maintain clear visibility into active work, risks, dependencies, and next steps. • Use the team’s operating systems and workflows to keep customer engagement data current and measurable. • Contribute to adoption playbooks, funding workflows, Jira hygiene, and the management cadence needed to scale the Field Engineering model.

• Deliver high-impact AI engagements • Lead hands-on delivery for GenAI implementation engagements, funded implementation projects, technical proof-of-value engagements, and other customer-facing AI initiatives. • Translate customer goals into practical architectures, implementation plans, and measurable technical outcomes. • Build, configure, and validate AWS-native AI and data solutions, with emphasis on production-ready architectures and services. • Own technical execution from discovery through delivery, including design reviews, workshops, implementation support, and executive-ready readouts. • Step into complex customer situations where technical depth, speed, and credibility are required. • Drive outcomes across the four FE growth pillars • Support product adoption by helping customers implement and integrate DoiT products as part of AI engagements and broader cloud initiatives. • Contribute to new logo acquisition by using technical consulting, implementation engagements, and proof-of-value work to help open and progress new opportunities. • Expand the install base by helping existing customers adopt advanced features, launch new workloads, and move to higher-value product and service motions. • Strengthen partner leadership by collaborating with AWS partner teams, supporting funded programs, and helping DoiT show up as a strategic technical partner in AI-related motions. • Turn field work into repeatable plays • Identify patterns, reusable assets, and “gravel road” solutions that should become standard delivery approaches, playbooks, or product feedback. • Help move successful one-off customer work into repeatable solution packages, templates, and standardized offerings for the broader team. • Contribute to standardization of engagement sizing, delivery approach, and technical assets to improve team efficiency over time. • Work cross-functionally to close and deliver • Partner closely with Solution Engineers, Account Managers, Customer Success Managers, Engagement Managers, and partner teams to scope and execute the right work at the right time. • Provide technical leadership during discovery, planning, handoff, and delivery. • Help ensure customer engagements are well-scoped, well-documented, and tied to clear success criteria. • Operate with discipline • Maintain clear visibility into active work, risks, dependencies, and next steps. • Use the team’s operating systems and workflows to keep customer engagement data current and measurable. • Contribute to adoption playbooks, funding workflows, Jira hygiene, and the management cadence needed to scale the Field Engineering model.