• Advise on and help maintain large-scale computational and AI infrastructure • Provide consultative guidance and perform hands-on solving across the full stack • Assess customer environments and recommend optimized, production-ready Kubernetes-based container platforms • Serve as a key technical resource: develop, refine, and document standard methodologies and operational guidelines • Support Research & Development activities and engage in POCs/POVs to validate new features • Create and deliver high-quality documentation, including runbooks, onboarding materials, and best-practice guides • Act as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture

• Serve as the lead technical expert for Federal accounts and FSIs. • Encourage the use of NVIDIA-on-OEM architectures by developing strategic solutions and conducting in-depth technical workshops. • Define and optimize the 'AI Factory' for Federal use cases, integrating NVIDIA solutions through OEM server, storage, and NVIDIA Spectrum-X networking into cohesive, high-performance mission solutions. • Lead the development of POCs and guide the integration of the NVIDIA software stack, including NIM, NeMo, Dynamo, and TensorRT-LLM. • Provide the technical expertise needed to navigate complex AI clusters within Federal security frameworks, including FedRAMP, IL5/IL6, and air-gapped (SCIF) environments. • Act as a strategic conduit between Federal customers and NVIDIA engineering teams.

• Lead billable client engagements focused on AI and automation, working directly with clients to identify inefficiencies, design solutions, and implement tools that improve their financial and operational workflows. • Serve as the primary point of contact and project lead for client AI engagements — managing scope, timelines, deliverables, and client relationships throughout. • Conduct discovery sessions and process assessments with clients to understand their systems, pain points, and goals before recommending solutions. • Present findings, project plans, and progress updates to client stakeholders clearly and confidently, including executives and non-technical decision-makers. • Own the full project lifecycle for AI implementations — from initial scoping and planning through execution, handoff, and post-implementation review. • Build and maintain detailed project plans with clearly defined milestones, resource requirements, and timelines; proactively identify and communicate risks before they become issues. • Manage and lead a team of staff supporting AI and automation engagements — setting clear expectations, allocating work effectively, and maintaining accountability across active projects. • Coordinate internal team members, external vendors, and client stakeholders to keep projects on track and aligned. • Manage competing priorities across multiple active engagements, making smart calls about sequencing, resourcing, and escalation. • Maintain thorough project documentation throughout each engagement, ensuring a clear record of decisions, progress, and outcomes. • Lead the evaluation, selection, and integration of AI tools that support both client engagements and the firm's internal operations, with a focus on automation, compliance, financial reporting, and client management. • Manage relationships with AI vendors and technology partners, holding them accountable to performance and reliability standards. • Ensure all solutions integrate effectively with existing systems, particularly QuickBooks and other core platforms used by clients and the firm. • Stay current on emerging AI technology and proactively bring forward recommendations that could benefit clients or the business. • Identify opportunities to streamline Treewalk's internal processes using AI — including data entry automation, reconciliation, and financial reporting workflows. • Lead efforts to standardize how AI tools are adopted and used across the firm, ensuring consistent and measurable impact. • Design and deliver training for both client teams and internal staff, ensuring effective adoption of every tool deployed. • Coach and mentor junior staff on AI tools, project workflows, and client engagement best practices — helping build the team’s capability as the practice grows. • Serve as the firm's primary internal resource for AI-related questions, troubleshooting, and ongoing support. • Establish KPIs for each client engagement and internal initiative, and deliver regular performance reports to both clients and senior leadership. • Continuously assess tools in use and recommend improvements or adjustments to enhance their impact.

• Lead discovery and qualification • Run structured discovery with senior stakeholders to uncover business priorities, workflows, constraints, and success metrics • Challenge vague requests and reframe them into clear, high-impact use cases • Qualify rigorously: assess fit, urgency, stakeholder commitment, and path to value before committing support • Surface adoption, technical, and organizational risks early, before they derail the deal or weaken rollout • Own solution design and technical validation • Translate business needs into clear solution approaches, validation plans, and customer-facing recommendations • Design and run pilots, workshops, demos, and proof points with explicit success criteria and business outcomes • Connect Synthesia capabilities to customer KPIs such as efficiency, engagement, speed, consistency, or cost reduction • Lead technical and business-value conversations that reduce risk, build conviction, and advance the deal • Make value tangible • Deliver demos, workshops, and first-workflow experiences tailored to the customer’s business context • Create assets that make value tangible: demo videos, pilot outputs, solution narratives, and launch plans • Position Synthesia clearly against alternatives and handle objections with commercial credibility • Turn product interest into business conviction by showing where Synthesia fits and why it matters • Drive first value, onboarding, and early adoption • Own the path from signed deal to first live workflow, ensuring customers reach value quickly • Build onboarding that drives behavior change and usage, not just product understanding • Define early success measures, track them tightly, and intervene fast when adoption risk appears • Establish the conditions for repeatable usage, strong champions, and broader rollout • Unlock expansion • Identify additional teams, workflows, and use cases where Synthesia can deliver more value • Define the right starting point and a credible path to broader adoption over time • Partner with Customer Success to ensure strong handoff, continuity of context, and a clear expansion pathway • Stay close to strategic accounts where deeper solutioning is required to unlock adoption and expansion • Build repeatability across the business • Capture reusable solution patterns, validation frameworks, and use-case assets that improve quality at scale • Build the tools and playbooks that make the function more repeatable: demo environments, onboarding plays, and solution libraries • Turn customer insight into structured product, positioning, and go-to-market feedback • Raise the quality of how Synthesia sells, delivers, and scales value across the customer lifecycle • Operate as a true cross-functional leader • Partner with Account Executives on account strategy, qualification, deal progression, and executive messaging • Align with Customer Success on adoption risk, rollout design, and expansion opportunities • Work with Product, Marketing, and Support to improve messaging, solution fit, and customer outcomes • Act as a connective layer across teams, ensuring customer needs are translated into action and business impact.