You'll work alongside Faction's founding team to deploy our AI agents against the hardest problems in industrial commerce - taking customers from signed deal to live production, and keeping them there. The role is intensely commercial and deeply product-centric - some days you're on a call walking through a demo you built, other days you're scoping a new feature with engineering. It requires a bias toward action, sharp product intuition, and deep empathy for the people doing this work every day. What you'll do Deployments Own live customers end-to-end. This is the biggest lever in the short term. You run multiple deployments from post-sale design through go-live and stabilization Own the relationship with VP-level stakeholders throughout their deployment journey Turn messy client reality into clear plans and strategy - coordinate daily with engineering and sales, translating client needs into engineering priorities and deployment context into deal strategy Run user onboarding and training sessions; build the materials to support them throughout Convert pilots into full deployments. Keep stakeholders engaged - visits, gifts, whatever it takes to stay close Track usage across deployments - run reactivation sessions when engagement drops Product The biggest lever long-term. Product revamps are always underway, and customers are pulling for more products than we ship today Own the cadence of what we sequence next: build, sell, deploy, keep sticky Relentlessly identify what creates the most customer value and translate it into product. Combine exceptional taste with technical fluency, so ideas become specific, buildable features Be aggressive about automation (including automating your own work) Demos Own the demo flow with engineering as a shared resource. Excellent demos are a massive unlock. You’d ship prospect-specific and vertical demos (e.g. PVF, HVAC, Electrical, Auto, LBM) - helping to close $XXm in ARR Hiring Document every process and lesson learned from deployments - then prepare to hire and build a team (FDE, SWE) underneath you that executes from these playbooks Always be hiring. Engineering capacity is a global constraint on sales Example projects Take a $5bn distributor from signed contract to full go-live in 3 weeks - mapping their ERP data model, configuring our AI agents against their catalog, training their inside sales team, and managing the executive relationship throughout Build a demo environment that lets prospects see their own SKU data running through our system during a sales call - then iterate on it weekly based on close rates Notice usage dropping at a live customer, diagnose the root cause, and go on-site to fix it Write the PRD for a new product surface, ship it with engineering in two weeks, and deploy it to a customer in the third week Stand up internal tooling that lets the team delegate repetitive deployment tasks to coding agents What we're looking for A sharp, technical operator who wants to be in the room where deals close and systems go live. Specifically: Product taste - especially on UI/UX, copy, AI failure modes Customer obsession - craves feedback, watches usage data maniacally Low ego - will do whatever it takes, no task too small Technical - can read a PR, navigate an ERP schema, and debug an integration without flinching. Comfortable using coding agents and picking up whatever new concepts the job demands Comfort in chaos - the role evolves as the company grows - this should energize you Our Culture Focus. Accelerate industrial commerce. Everything else is noise Ownership. You build, deploy, and own outcomes Velocity. Ship fast. No red tape. We work 9-9-6 Impact. Your work runs $Xbn+ customer operations Compensation & Benefits Top-of-line compensation and equity Visa sponsorship - we will do everything in our power to get you to NYC No barriers - we cover relocation, team meals, and whatever tools or resources you need to get the job done Elite team - a small, intense group from the world's best institutions. We're obsessed with winning and have a lot of fun while making it happen
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