
51 - 200 employees
Founded 2018
💼 Consulting
📣 Marketing
📦 Logistics
💰 Series unknown on 2024-07
Consulting • Marketing • Logistics
Nexus Cognitive is a composable intelligence layer and open data platform that sits above enterprise data systems to make data AI-ready without replacing existing infrastructure. It provides a universal query gateway, automatic enrichment, centralized governance, and a managed full‑stack service that enables rapid (30‑day) AI deployments, lower TCO, and enterprise-grade security and compliance. Nexus Cognitive powers revenue, customer, operational, and risk intelligence by unifying data across warehouses, lakehouses, and cloud platforms while preserving business context and minimizing tool sprawl.
🕒 June 1
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51 - 200 employees
Founded 2018
💼 Consulting
📣 Marketing
📦 Logistics
💰 Series unknown on 2024-07
Consulting • Marketing • Logistics
Nexus Cognitive is a composable intelligence layer and open data platform that sits above enterprise data systems to make data AI-ready without replacing existing infrastructure. It provides a universal query gateway, automatic enrichment, centralized governance, and a managed full‑stack service that enables rapid (30‑day) AI deployments, lower TCO, and enterprise-grade security and compliance. Nexus Cognitive powers revenue, customer, operational, and risk intelligence by unifying data across warehouses, lakehouses, and cloud platforms while preserving business context and minimizing tool sprawl.
• Solution delivery is the operative phrase. The work is: understand the customer's actual business problem, translate it into the requirements the NX1 platform and engineering team will solve for, design the engagement around that solution, and drive it to ground until the customer is winning. • You are the buck-stops-here owner for whether NX1 delivers: the rollout program, the solution architecture and roadmap commitments, the documentation surface, the customer health signal at the engineering level, the margin against the engagement, and the loop back into engineering when the platform needs to evolve. • A portfolio of 2–4 strategic NX1 accounts, $5–10M each in delivery / managed services revenue • Gross margin management for the portfolio. You own the unit economics: cost-to-serve per account, scope discipline, hero-engineer-attrition risk, custom work that doesn't generalize. Margin is not finance's job to track — it's yours to manage, with finance providing the books. • The P&L for those accounts — drive against deliverables AND against gross margin; surface risk on both before it's a number on the dashboard. • The customer-side executive relationship: their VP of Data / CDO / CTO knows you by name and treats you as a peer, not a vendor. • Renewal and expansion strategy, in partnership with the CRO — you don't carry quota, but you shape the conditions under which the customer grows.
• 5–8 years in a customer-facing solution delivery, consulting, or forward-deployed role: Forward Deployed Engineer, Engagement Manager (consulting or product), Solutions Architect with delivery scope, strategic-level Technical Account Manager, Customer Engineering Lead, Implementation Lead, or equivalent • Operationally rigorous. Strong track record of delivering against customer needs — not activity-shaped ("I ran the program") but outcome-shaped ("the customer got X and here's specifically how I made it land") • Has personally owned a customer's outcome end-to-end at an enterprise account — not just "contributed to" or "supported" • Communicates with precision across levels. Same person can hold the engineer's whiteboard conversation, the VP-level steering committee, and the C-suite QBR without changing who they are — only the register • Bidirectional translator. Has owned the act of translating customer requirements into something the engineering org can actually build, and engineering trade-offs into something the customer's exec team can actually decide on • Problem ownership mindset. Reflex when something breaks is to own it until it's not, regardless of whose "job" it is • Consulting EM intrinsics paired with founding mindset. Carries the structural muscle of a top-tier consulting engagement manager (McKinsey / BCG / Bain / Palantir lineage — client management, structured thinking, exec presence, written clarity) and the entrepreneurial streak of a founder — builds the playbook rather than follows one • Has worked inside a startup or scale-up engineering organization (Series A through D) — knows what it looks like to operate when the org chart is still being drawn • Fluent enough technically to read an architecture doc, ask the right questions, and not need a translator in an engineering room. Data, cloud, or platform infrastructure background strongly preferred • Has run modern program tooling — Linear and Notion specifically, or has switched to them from Jira/Asana/Confluence and can articulate why • Strong written communication. Status updates that move decisions. Postmortems people read. Memos that change minds • High agency. Will close their own loops, will not wait for someone else to define the playbook, will push back constructively when the company is wrong
• Collaborative team culture built on curiosity and respect • Challenging work where your contributions clearly matter • Leadership team that invests in learning and development • Opportunity to work at the intersection of cloud, data, and AI innovation
Apply Now🕒 May 11
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