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Artefact

Data and AI-driven business transformation consulting

Director – Sales Lead

Business Development & PartnershipsConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Eight to ten years of experience in consulting, technology or media, with a track record of winning work and building a book of business.
  • Proven partner-sourced revenue through a hyperscaler or software alliance, and the ability to state what share of the candidate’s number it represented.
  • Experience co-selling with Google sellers and customer engineers, plus Partner Advantage mechanics such as badges, specializations, funding and deal registration.
  • C-level advisory experience on data, digital or AI transformation.
  • Enough Google stack fluency, including Gemini Enterprise, Agent Gallery, ADK, Vertex AI and BigQuery, to shape a solution with a customer engineer and advise a CIO on platform selection.
  • Hands-on AI builder comfortable using agentic tools in the terminal, including Gemini CLI, Claude Code and Codex.
  • Experience leading and developing consulting teams, including recruiting and certification.

Responsibilities

  • Build and own the relationship with Google and the business developed on Google Cloud in the Americas; sell business rather than bill utilization, shape offerings and take a hands-on role on selected engagements.
  • Map and work with relevant Google account teams, customer engineers, partner managers and Gemini Enterprise specialists; run enablement through office hours, roadshows, account-team briefings and offer sheets; participate in QBRs, territory planning and field events; own partner tier, partner NPS and Google seller deal involvement.
  • Run disciplined co-selling, including lead sharing, deal registration, joint account plans and pipeline reviews; own Google funding instruments; track partner-sourced pipeline, registered deals, stage conversion and sales cycle time.
  • Generate pipeline with Google and through personal networks; run presales end to end, close business personally across priority accounts, advise senior client leaders on Gemini Enterprise’s fit with AI strategy, and turn delivered work into case studies and partner-validated proof points.
  • Package flagship offers across Gemini Enterprise, Agent Gallery and ADK, Vertex AI and BigQuery, with entry points, durations, staffing models and price anchors; own reference architectures and the demo library; write battlecards comparing Google with other technology stacks.
  • Recruit a dedicated core team and draw experts from the shared pool; own the certification plan, run an internal community for the technology stack and keep the practice profitable.
  • Use AI tools daily, prototype with agentic coding tools, and contribute co-branded thought leadership with Google Cloud.

Desired Qualifications

  • Existing relationships inside Google Cloud partner, field sales or Gemini Enterprise teams.
  • Alliance program experience, including tiering, certification, co-selling and deal registration.
  • Vertical expertise in consumer packaged goods, retail, luxury, financial services, healthcare or telecommunications.
  • Experience taking clients from AI experimentation to scaled, governed adoption.
  • Familiarity with retrieval-augmented generation, semantic layers, knowledge bases and MCP.

About the Company

Artefact

Data and AI-driven business transformation consulting

Artefact helps organizations use data and AI to transform their operations and decision-making. It provides end-to-end services across the data value chain, from strategy and data platform implementation to governance, advanced analytics, and sector-specific AI tools, delivered through consulting and project execution. The company works with industries like FMCG, retail, and luxury goods to optimize marketing performance, customer engagement, and ROI. Artefact differentiates itself by combining consulting expertise with data science and AI capabilities across multiple regions, offering integrated, sector-focused solutions rather than just advisory services. The main goal is to help clients adopt data-driven approaches to improve efficiency, decision quality, and marketing results at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Paris, France
Founded
1998

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