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Enterprise Account Manager (AE Role)

External
Dataiku logoDataiku · United States, NY
$115K–$125K/yrFull-timeOn-site1mo ago
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About the role

We are looking for an Enterprise Account Manager heavily focused on net-new business acquisition. In this role, you will manage, protect, and aggressively grow a named patch within the Healthcare and Life Sciences (HLS) segment, covering organizations with $1B-$5B in revenue. While this position carries the title of Account Manager, it functions as a full-cycle, new business-heavy enterprise sales role. You will lead a territory where the primary growth vehicle is net-new logo acquisition alongside strategic expansion within a select footprint of existing accounts. Selling into this highly competitive landscape requires a strong growth mindset, high coachability, and speed. We need a disciplined closer who can orchestrate a cold outbound motion, move quickly, and work highly collaboratively to displace legacy competitors.

Responsibilities

  • Drive Net-New Logo Acquisition: Own the end-to-end sales cycle for completely net-new organizations, focusing heavily on self-generated pipeline and targeted outbound execution.
  • Expand & Protect Existing Footprints: Manage a select book of existing accounts, driving adoption, protecting renewals, and uncovering whitespace for departmental expansion.
  • Navigate Complex Buying Centers: Engage directly with Line-of-Business (LoB) stakeholders and IT executives to unearth critical business pains and connect them to measurable AI outcomes.
  • Win Competitive Displacements: Actively position Dataiku's unique value proposition to unseat legacy analytics tools and cloud-native incumbents.
  • Execute with MEDIC Discipline: Run a highly structured sales process using the MEDIC framework to map stakeholders, identify economic buyers, and maintain rigorous forecast accuracy.
  • Orchestrate Internal Resources: Lead alignment within your territory, collaborating at pace with Account Development Representatives (ADRs), Solutions Engineers (SEs), Customer Success Engineers (CSEs), and Partners to accelerate deal velocity.

Requirements

  • Enterprise Closing Excellence: Proven experience closing complex, multi-stakeholder B2B SaaS or advanced data/AI platform deals within a 3-6 month cycle.
  • High Coachability & Agility: A continuous learner who can quickly master new industries, technical products, and competitive positioning. While Healthcare and Life Sciences (HLS) experience is a great bonus, a strong appetite and willingness to master the domain is what matters most.
  • The "Driven but Collaborative" DNA: A self-starter who works with a high sense of urgency and speed, but recognizes that enterprise deals are won as a team sport.
  • Pure Pipeline Builders: The grit and ability to prospect effectively and build pipeline from scratch without relying on a steady inbound lead engine.
  • MEDIC Fluency: Practical familiarity with the MEDIC framework, utilizing it to qualify opportunities, navigate hurdles, and manage deals to a predictable close.
  • Compensation and Benefits
  • US only national base pay ranges
  • $115,000 - $125,000 USD
  • What are you waiting for!
  • Our practices are rooted in the idea that

Benefits

Health insuranceDental insuranceVision insurance401(k)Paid time offFlexible scheduleEquity / stock optionsPerformance bonusParental leave

Additional Information

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube .


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