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Artefact

Data and AI-driven business transformation consulting

Director – Sales Lead - Google, Gemini Enterprise

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

About the Job

Requirements

  • 8-10 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, with the ability to quantify its share of the candidate's number.
  • Experience co-selling with Google sellers and customer engineers, plus familiarity with Partner Advantage mechanics such as badges, specializations, funding, and deal registration.
  • C-level advisory experience on data, digital, or AI transformation.
  • Google Cloud stack fluency, including Gemini Enterprise, Agent Gallery, ADK, Vertex AI, and BigQuery, sufficient to shape solutions with customer engineers and advise CIOs on platform selection.
  • Hands-on AI-building experience and comfort using terminal-based agentic tools such as Gemini CLI, Claude Code, and Codex.
  • Experience leading and developing consulting teams, including recruiting and certification.

Responsibilities

  • Build Artefact's profile with Google's field teams by mapping account teams, customer engineers, partner managers, and Gemini Enterprise specialists; run enablement activities such as office hours, roadshows, account-team briefings, and offer-sheet distribution; participate in QBRs, territory planning, and field events; and own partner tier, partner NPS, and Google seller deal referrals.
  • Run the Google co-sell process, including lead sharing, deal registration, joint account plans, and pipeline reviews; own Google funding instruments such as AI value assessments, POC funding, and practice-building support; and track partner-sourced pipeline, registered deals, stage conversion, and cycle time.
  • Generate pipeline with Google and through personal networks, run presales end to end, close business personally, and work a portfolio of 10-15 priority accounts.
  • Advise CIOs, CDOs, CTOs, and CEOs on how Gemini Enterprise fits their AI strategies, and turn delivered work into case studies and partner-validated proof points.
  • Package 3-5 flagship offers across Gemini Enterprise, Agent Gallery and ADK, Vertex AI, and BigQuery, with defined entry points, durations, staffing models, and price anchors.
  • Own reference architectures and the demo library, and create battlecards comparing when to lead with Google versus another technology stack.
  • Recruit a dedicated core team and draw experts from the shared pool, own the certification plan, run an internal community for the 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 within Google Cloud partner, field sales, or Gemini Enterprise teams.
  • Alliance program experience, including tiering, certification, co-selling, and deal registration.
  • Vertical expertise in CPG, retail, luxury, financial services, healthcare, or telecom.
  • Experience taking clients from AI experimentation to scaled, governed adoption.
  • Familiarity with retrieval-augmented generation (RAG), 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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