Nexus Cognitive

Nexus Cognitive

Forward Deployed Engagement Manager

Atlanta HQ · Exec

Sponsorship not specifiedDetected 51 days ago
DatabricksAgentic AIProduct ManagementProduct StrategyProject ManagementJiraConfluenceCustomer SuccessCadence5G/LTELeadershipCommunication

About the role

  • Pull in Solution Architects when the work needs architecture depth; pull in FDEs / engineers when the work needs to be built

Responsibilities

  • 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.
  • 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
  • Run the weekly operating rhythm - internal stand-ups, customer syncs, exec readouts, escalation reviews - and build the artifacts that keep them grounded in reality, not theater
  • Linear and Notion are your primary instruments; you will design how they're used for your portfolio, not inherit a template someone else built
  • Own the bidirectional translation between the customer's business problem and NX1's engineering reality - surface the right requirements into the org, surface engineering trade-offs back to the customer, without distorting either side
  • Influence the operating model between Forward Engineering, the MSO function, and Sales - where the seams are, who owns what at each phase, how handoffs actually work
  • Partner with the CRO on expansion conversations - you bring the technical credibility and the lived relationship; they bring the commercial framing

Requirements

  • 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")
  • Engineering background somewhere in their history (CS degree, eng IC role, or a credible technical foundation built on the job)
  • 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

Nice to have

  • 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

Skills

  • 85+ open-source tools pre-integrated.
  • AI-native automations that deploy and self-heal the stack without human toil.
  • It's working, and fast.
  • Our platform processes credit risk data for 90%+ of US small businesses - 40M+ - every month.
  • Intent signals for 300M+ subscribers monthly for Africa's largest telco.
  • The data and AI layer for a Top 3 US bank.
  • A collaborative team culture built on curiosity and respect
  • Challenging work where your contributions clearly matter
  • A leadership team that invests in learning and development
  • The opportunity to work at the intersection of cloud, data, and AI innovation

Benefits

  • Build the customer-health signal that catches problems 60 days before they become escalations: usage trajectory, executive sentiment, milestone slippage, support ticket pattern, roadmap dependency drift
  • Codify what works across your portfolio into reusable artifacts the next FDEM hire benefits from

Company info

  • We're the converged data platform for the AI era - composable by design, built on an open-source foundation, and AI-native from the ground up.
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