DoiT International

Solutions Engineer

• 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.

Solutions Engineer, EMEA

Field Engineer

• 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.

Senior Cloud Architect, Field Engineering – GenAI Focus

• Deliver high-impact AI engagements
• Drive outcomes across the four FE growth pillars
• Turn field work into repeatable plays
• Work cross-functionally to close and deliver
• Operate with discipline

Senior Cloud Architect – Field Engineering, GenAI Focus

Affiliate Manager

• Recruit, develop, and lead a high-performing team responsible for driving revenue through agent and affiliate partners.
• Own the overall strategy for growing DoiT’s presence within the agent and affiliate ecosystem.
• Drive new logo acquisition by leveraging agent and affiliate partner ecosystems to source and accelerate opportunities.
• Oversee the full partner-driven sales lifecycle from qualification through close across the team’s portfolio of opportunities.
• Serve as the internal subject matter expert on all agent and affiliate channel sales and partner economic models.

Manager, Agent and Affiliate Sales

• Define, operationalize, and track key performance indicators, coaching your team to consistently meet and exceed targets
• Lead day-to-day operations of the Solution Engineering team, driving accountability, consistency, and high performance across all activities
• Hire, mentor, and develop team members through regular feedback, career planning, and ongoing coaching
• Identify skill gaps and deliver targeted coaching across DoiT processes, technical expertise, and sales acumen
• Own regional performance, including pipeline contribution, deal progression, and quota attainment
• Act as the primary escalation point for complex technical challenges and critical deal support, ensuring successful outcomes
• Partner with Product and Engineering to represent customer needs, influence roadmap decisions, and improve solution alignment
• Maintain deep knowledge of DoiT’s offerings and ensure your team can effectively position and differentiate our solutions
• Foster a strong, inclusive team culture by actively listening to feedback, resolving conflicts, and driving engagement
• Oversee your team’s execution across the full sales cycle, including discovery, demonstrations, stakeholder alignment, workshops, technical validation, and POVs, while reporting on quarterly performance and impact

Manager, Solution Engineering

Technical Product Manager

• Translate the VP’s strategy into a sequenced backlog of problems, user stories, and acceptance criteria that the Engineering team can deliver continuously.
• Keep work “thin-sliced” so the team can ship frequently, learn quickly, and reduce risk through iteration.
• Maintain a disciplined cadence of backlog refinement, sprint readiness, and scope negotiation to keep delivery predictable without slowing innovation.
• Leverage your hands-on DevOps experience and expertise in the real-world workflows of the professionals you’re building for - especially cloud operators and practitioners.
• Use firsthand domain knowledge and ongoing customer conversations to identify friction, gaps, and opportunities for differentiation.
• Prioritize enhancements that materially improve outcomes: speed, reliability, clarity, safety, governance, cost impact, or operational simplicity.
• Often speak with customers (aiming for 3-5 calls a week) and cross-functional DoiT stakeholders regularly to test ideas, validate assumptions, and pressure-test tradeoffs.
• Communicate clearly and confidently: share concepts early, take feedback openly, synthesize input into decisions, and explain “why” in a way that builds trust.
• Operate as a core member of the component’s Engineering team - present in daily collaboration, crisp in decision-making, and pragmatic about constraints.
• Partner with Engineering leads on sequencing, technical tradeoffs, and delivery planning - ensuring product intent survives implementation realities.
• Ensure the component is cohesive across UX, APIs, data, and operational behavior - and that it meets a high bar for reliability and customer trust.
• Define what “success” means for the component with clear metrics (adoption, activation, workflow completion, time-to-value, retention, reliability signals, customer-reported impact).

Technical Product Owner, Kubernetes

Customer Success Manager

• Own the full portfolio of SELECT customers and manage the entire customer lifecycle: onboarding, adoption, value realization, renewal, and expansion
• Design and execute the initial Customer Success operating model for SELECT
• Strategically prioritize customers to maximize impact, retention, and growth
• Deliver rapid Time to First Value (TTFV) by leading effective onboarding, training, and enablement on the SELECT product
• Build strong relationships with key customer stakeholders (e.g., FinOps leaders, engineering leaders, product owners)
• Identify and engage decision-makers and influencers to drive adoption, value realization, and long-term alignment
• Perform business and product discovery to uncover new use cases and opportunities within SELECT
• Act as the voice of the customer, feeding structured insights and feedback into Product and Leadership
• Maintain accurate Customer 360 records, including health signals, usage trends, risks, and opportunities
• Proactively identify and support customer advocacy opportunities (case studies, references, testimonials)
• Proactively identify customer risk using health signals, usage data, engagement trends, and sentiment
• Own mitigation planning and execution in partnership with Product, Sales, and Leadership
• Manage renewals end-to-end, ensuring alignment on value delivered and future success
• Communicate customer risk, trends, and outcomes to senior stakeholders
• Identify and qualify expansion opportunities within SELECT accounts
• Network with Account Managers across DoiT to identify cross-sell and expansion opportunities between SELECT and other DoiT offerings
• Partner closely with Sales on renewals, expansions, and strategic account planning
• Provide insights and data to support QBRs and executive customer conversations
• Design SELECT’s Customer Success playbooks, processes, and success metrics
• Define customer segmentation, coverage models, and engagement cadences
• Establish KPIs for customer health, retention, and expansion

Solutions Engineer, EMEA

Solutions Engineer, EMEA

Solutions Engineer, EMEA

Senior Cloud Architect, Field Engineering – GenAI Focus

Senior Cloud Architect, Field Engineering – GenAI Focus

Senior Cloud Architect, Field Engineering – GenAI Focus

Senior Cloud Architect, Field Engineering – GenAI Focus

Senior Cloud Architect, Field Engineering – GenAI Focus

Senior Cloud Architect, Field Engineering – GenAI Focus

Senior Cloud Architect, Field Engineering – GenAI Focus

Senior Cloud Architect – Field Engineering, GenAI Focus

Manager, Agent and Affiliate Sales

Manager, Solution Engineering

Technical Product Owner, Kubernetes

Senior Customer Success Manager