Loft Labs

• Technical Roadmap Ownership: Set the roadmap for your product surface and translate strategy into specs engineering can execute against. • Founder Partnership: Work directly with the Head of Product and Engineering leadership on the architecture tradeoffs that determine the product's trajectory. • Hands-on Validation: Run alpha and beta builds yourself. Catch integration issues before customers do. • Customer Intelligence: Engage directly with platform engineers at AI Cloud operators, regulated enterprises, and large internal platform teams. • Market Positioning: Track the cloud-native ecosystem and emerging tenancy primitives. • Cross-Functional Leadership: Bridge engineering, sales, and marketing so what we ship matches how we sell and support it.

• Onboarding Ownership: Lead end-to-end customer onboardings, from the sales handoff through to project close. You coordinate architecture workshops, platform installation, access setup, integration configuration, and operational readiness reviews. You set the tone for how customers experience vCluster from day one. • Success Planning: Build and maintain customer success plans that document business objectives, KPIs, adoption milestones, and a forward plan. You treat the success plan as a living document that drives every customer conversation, not a one-time deliverable that sits in a folder. • Value Articulation: Translate platform adoption into business outcomes. You connect Tenant Cluster growth, provisioning time savings, and developer self-service enablement to the metrics your customers care about — cost efficiency, engineering velocity, risk reduction, and platform ROI. When it's time to renew or expand, the business case is already built. • Proactive Engagement: Own the customer relationship cadence — regular check-ins, Quarterly Business Reviews, and Executive Business Reviews. You do not wait for the customer and you run executive reviews that reinforce strategic partnership, not just feature updates. • Technical Credibility: Hold credible technical conversations with platform engineers, DevOps leads, and architects. You understand the vCluster architecture well enough to discuss Tenant Cluster deployment patterns, RBAC, Tenant Isolation, integrations, and Day 2 operations. You can independently assist the customer with their technical challenges and design optimal deployment architectures. • Renewal and Expansion: Own the renewal motion for your accounts — starting 90+ days out. You recognise expansion triggers — new use cases, AI/GPU workloads, additional Tenant Clusters, tier upgrades — and you work with the Account Executive and Solutions Engineer to convert them into growth that solves real customer problems. • Customer Advocacy: Serve as the internal voice of your customers. You represent their feature requests, escalate blockers, and provide actionable feedback to Product and Engineering grounded in real account context — not anecdote.

• Lead Technical Deployments: Drive end-to-end technical deployments for GPU neocloud and AI Factory customers, from initial bare metal configuration to a validated vCluster environment. • Infrastructure Optimization: Configure and troubleshoot bare metal GPU node infrastructure, including CNI configuration, GPU Operator setup, distributed storage backends, and RDMA/InfiniBand. • Validation: Deploy and validate Kubernetes and vCluster to provide GPU-powered managed K8s. • Knowledge Transfer: Work alongside customer teams to build self-sufficiency, ensuring they can operate and grow the platform independently. • Scaling through Documentation: Document reusable playbooks and deployment architectures so your learnings become the next customer's head start. • Feedback Loop: Collaborate with Engineering and Product to surface recurring infrastructure challenges, acting as a direct feedback loop from the field into the roadmap. • Strategic Partnering: Join Sales in the pre-sales process where deep infrastructure work is required to achieve a meaningful proof of value.

• Owning the vNode technical execution: Drive the architecture for how vNode wraps containerd, integrates with the kubelet, and exposes safe isolation primitives. You will set the bar for what ships, what gets deferred, and what gets redesigned. • Going deep on container runtimes and isolation: Lead the work where vNode meets containerd, Kata Containers, gVisor, runc, and the kernel. You will be the person who can explain (and improve) exactly what happens between a Pod spec and a process running under a constrained user namespace with a tight seccomp profile. • Shipping the kubelet integration surface: Own how vNode plugs into the node lifecycle: CRI, kubelet device plugins, cgroups v2, eviction, and the rough edges between Kubernetes' node model and a runtime that does not assume one tenant per node. • Raising the engineering bar: Run technical design reviews, set the pattern for testing isolation guarantees, and mentor the engineers shipping alongside you. You are not a people manager, but you are the engineer the team copies. • Being Customer Zero for vNode: Run vNode against vCluster Platform tenant clusters internally before customers see it. You will close the loop between what AI Cloud operators need and what vNode actually does in production. • Representing vNode externally: Contribute upstream where it matters (containerd, runc, Kubernetes SIG-Node), write the technical posts that explain why namespace-based isolation is the right answer, and represent vCluster Labs at KubeCon-class venues when the timing is right.

• Content Programs: Own the full content roadmap — customer testimonials, case studies, written guides, and video content. You source the stories, shape the narrative, and produce the final asset. You are not handing this off; you are shipping it. • Product Launches: Drive go-to-market launches for new features end-to-end — positioning, messaging, launch assets, and internal enablement — so every release lands with clarity and momentum. • Sales Enablement: Translate complex technical concepts about tenant clusters, Tenant Isolation, and AI infrastructure into battle cards, one-pagers, and pitch narratives that make the sales team faster and sharper in the field. • Ecosystem & Industry Marketing: Partner with our ecosystem lead to develop content strategy for industry panels, partner spotlights, and events — making sure vCluster Labs shows up with a distinctive and consistent point of view. • Messaging & Positioning: Serve as the keeper of our messaging framework. Ensure every content asset — regardless of channel or author — reflects our brand, aligns to current business priorities, and speaks to the right buyer at the right stage.

• Technical Roadmap Ownership: Set the roadmap for your product surface and translate strategy into specs engineering can execute against. We'll align scope to your background — a hyperscaler KaaS PM might own the vCluster platform, a bare metal or GPU cloud PM might own vMetal, a multi-tenancy specialist might own platform + vNode. • Founder Partnership: Work directly with the Head of Product and Engineering leadership on the architecture tradeoffs that determine the product's trajectory. • Hands-on Validation: Run alpha and beta builds yourself. Catch integration issues before customers do. • Customer Intelligence: Engage directly with platform engineers at AI Cloud operators, regulated enterprises, and large internal platform teams. The next zero-to-one comes from these conversations. • Market Positioning: Track the cloud-native ecosystem and emerging tenancy primitives. Sharpen the narrative for technical buyers and partner with GTM on messaging that lands. • Cross-Functional Leadership: Bridge engineering, sales, and marketing so what we ship matches how we sell and support it.

• Full-Cycle Technical Recruiting: Own the end-to-end hiring process for Engineering, Product, and Technical roles globally. You will guide candidates from the initial talent screen through to the offer stage, ensuring a seamless flow. • Strategic Sourcing: Proactively source and engage passive talent from the open-source, Kubernetes, and developer tool communities. You will build high-quality pipelines so we do not rely solely on inbound applicants for critical technical roles. • Data-Driven Execution: Champion our structured interview process. You will ensure scorecards are utilized effectively to reduce bias, maintaining strict data integrity within our ATS (Ashby) to inform hiring decisions. • Candidate Experience: Drive an exceptional experience by ensuring transparent communication. You will treat candidates with "customer-centric speed," ensuring decisions are made in days, not months. • Partnership: Collaborate with Hiring Managers to define technical requirements and ideal talent profiles, moving beyond "order taking" to act as a true consultant on market trends and closing strategies.

• Cross-Surface Strategy: Set coherent direction across vCluster platform, vNode, and vMetal. Identify where the surfaces converge, where they diverge, and where the next product surface needs to exist. Own the technical thesis that ties them together. • Architecture Partnership: Work directly with engineering leadership, customer design partners, and founders on the architecture decisions that shape the product for years — tenancy models, isolation boundaries, the API contracts that downstream products depend on. • Category Definition: Multi-tenant Kubernetes for AI Cloud is a category being defined right now. Drive how we define it externally — analyst relations, technical content, conference narrative, and competitive framing. • Customer Intelligence at Depth: Build trusted relationships with platform leads at the largest AI Cloud operators, financial institutions, and platform engineering organizations. Translate their forward-looking architecture decisions into product direction. • Team Multiplier: Raise the bar on PM craft across the team. Establish the patterns — specs, customer development, launch process — that scale beyond you.

• System Ownership: Design and operate the "content-to-pipeline" system that turns product updates, customer stories, and executive insights into a consistent, high-performing engine across LinkedIn, X, and Reddit. • Strategic Distribution: Move beyond simple posting to master content distribution—ensuring our most important technical narratives are seen by the right stakeholders at the right time. • Paid Experimentation: Manage and optimize LinkedIn paid campaigns with a ruthless focus on experimentation, precision targeting, and measurable pipeline impact. • Executive & Employee Advocacy: Act as the strategic partner to our leadership team, translating their deep technical expertise into high-impact thought leadership and building a scalable advocacy program for the broader team. • Multimedia Direction: Direct our video content strategy, working with external partners to transform live sessions and product demos into reusable, high-engagement assets. • Data-Driven Attribution: Build a structured reporting framework that provides clear visibility into how social activity and paid spend drive traffic, engagement, and revenue.

• Full-Cycle Technical Recruiting: Own the end-to-end hiring process for Engineering, Product, and Technical roles globally. You will guide candidates from the initial talent screen through to the offer stage, ensuring a seamless flow. • Strategic Sourcing: Proactively source and engage passive talent from the open-source, Kubernetes, and developer tool communities. You will build high-quality pipelines so we do not rely solely on inbound applicants for critical technical roles. • Data-Driven Execution: Champion our structured interview process. You will ensure scorecards are utilized effectively to reduce bias, maintaining strict data integrity within our ATS (Ashby) to inform hiring decisions. • Candidate Experience: Drive an exceptional experience by ensuring transparent communication. You will treat candidates with "customer-centric speed," ensuring decisions are made in days, not months. • Partnership: Collaborate with Hiring Managers to define technical requirements and ideal talent profiles, moving beyond "order taking" to act as a true consultant on market trends and closing strategies.