• Secure the Technical Win: Partner closely with Sales teams to drive revenue opportunities, upselling new solutions, and expanding our Azure Consumption Revenue (ACR) footprint across strategic T1 and T2 accounts. • Consult & Architect: Lead technical discovery sessions, deliver tailored Proof of Value (PoV/PoC) presentations, conduct structured architectural workshops, and craft compelling responses to RFX/RFIs. • Establish Trusted Partnerships: Deeply understand our customers' business objectives and technical landscapes to build long-term relationships, helping them eliminate digital experience disruptions and realize maximum platform value. • Evangelize Innovation: Actively champion new product capabilities to the market while channeling structured field feedback directly to New Relic Product Managers and Engineering leads to fuel future platform evolution. • Collaborate Cross-Functionally: Expand the team’s operational reach by collaborating seamlessly with Solution Architects, Partner teams, and Customer Success colleagues to navigate enterprise complexity.

• Own a portfolio of 70–85 accounts across 5+ products, with primary responsibility for retention, adoption, and net revenue retention • Drive proactive engagement through regular client touchpoints, optimization check-ins, and usage reviews that surface risk early and reinforce value • Manage the full renewal cycle — forecasting, negotiating multi-year terms and annual price increases, and closing on time, with commission tied to retention outcomes • Monitor product usage and adoption metrics; translate trends into proactive outreach and concrete recommendations that move clients forward • Track and document each client's goals and success metrics throughout the lifecycle, consistently demonstrating value back to the client as milestones are reached • Identify and flag expansion signals to the sales or account management team; collaborate to bring those opportunities to close • Serve as the primary point of contact across the client lifecycle, building relationships at multiple levels of the client organization • Lead high-level product training sessions, webinars, and onboarding for new users across your accounts • Maintain regular communication with product support and retention leadership, sharing account health insights (positive and at-risk) to support overall retention efforts • Collaborate cross-functionally with Support, Product, and Implementation teams to resolve client issues and escalate appropriately • Contribute to knowledge base content and internal best practice documentation • Participate in Mitratech client advocacy programs, events, and thought leadership initiatives

• Lead end-to-end implementation projects and ensure successful delivery • Facilitate discovery sessions and act as a trusted advisor to clients • Design scalable, thoughtful solution architectures aligned to business goals • Document and present solution designs for stakeholder approval • Oversee build activities and participate in hands-on configuration, as needed • Guide quality assurance and ensure high standards across deliverables • Lead client walkthroughs and support go-live activities

• Map the workflows in your domain — the ones running today, and the ones that don’t exist yet because they weren’t feasible without agents or automation tools. • Identify the step-change opportunities: where AI, ML, or automation unlock throughput, coverage, or speed. • Build the business case, quantify projected impact, and align with domain leadership on priorities. • Map structured and unstructured data flows across the systems involved (CRM, ERP, ticketing, document stores, internal tools, external SaaS). • Define the target workflow: what the agent does, what the human does, and where they hand off. • Figure out what context the agent or model needs to do the work well — and how to get it there reliably (retrieval, grounding, tool access, memory). • Design human-in-the-loop checkpoints so review adds value without becoming the bottleneck. • Stand up agents and automation pipelines using the organization’s approved AI platforms and frameworks. • Connect agents to business systems — via MCP servers, APIs, webhooks, CLIs, and skills — within the guardrails set by IT and security. • Configure tools, prompts, context, and retrieval pipelines so agents perform reliably on real work, not just in demos. • Handle integration gnarliness: auth, schema drift, rate limits, data quality, and the messy last-mile of enterprise systems. • Own agent performance end-to-end. Track the KPIs that matter — throughput, quality, cost, human intervention rate, cycle time, adoption. • Build and manage evals. Re-run them on any material model, data, or workflow change before it ships. • Triage failures, tune prompts and context, iterate on the workflow, and retire agents when they’re no longer the right tool. • Instrument observability: tracing, structured logs, dashboards.