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AI & Analytics Pre-Sales Director
AI & Analytics Pre-Sales DirectorTavant • San Francisco, CA, United States
AI & Analytics Pre-Sales Director

AI & Analytics Pre-Sales Director

Tavant • San Francisco, CA, United States
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Overview

Direct message the job poster from Tavant

An AI & Analytics focused Pre-Sales leader to own activities like proposal creation, pitching AI & Analytics offerings to customers and collaborating with Marketing to launch AI & Analytics focused campaigns.

Modern data platforms, machine learning (ML) and AI are major focus areas for our AI and Analytics Practice, and we’re looking for a Practice Leader to lead the growth. This is a chance to set strategy, define product and service offerings, work with our sales team to win deals, and work with our engineers to build reusable assets and custom solutions.

Responsibilities

  • Leading the Practice strategy by defining the IP and custom service offerings, target markets, and lead generation approach
  • Contributing to Practice sales targets (supporting the efforts of the salespeople, who are primary owners of the quota)
  • Influencing industry teams to pitch AI & Analytics offerings to all applicable existing customers and prospects by educating the sales team and helping them identify the best targets within their territories
  • Providing sales support in the form of collateral and RFP responses and pitching our expertise at sales meetings and conferences

Qualifications

  • Bachelor’s degree in computer science, or demonstration of equivalent conceptual knowledge through self-study and prior experience
  • 3+ years of experience in business development, practice leadership, or pre-sales focused on analytics solutions
  • 5+ years designing and developing data & analytics platforms at significant scale
  • Excellent communication (written and oral), customer-facing presentation and interpersonal skills
  • Some understanding of modern AI techniques, sufficient to know what’s possible and practical and have conversations with clients on how to use it to drive business impact
  • Understanding of cloud and distributed systems principles, including load balancing, networks, scaling, and in-memory vs disk operations
  • Experience with cloud platforms such as AWS, Azure, and GCP; container and orchestration technologies
  • Employment type

  • Full-time
  • Seniority level

  • Mid-Senior level
  • Job function

  • Industries
  • Note : This description keeps the core role and requirements and excludes extraneous listings and site-specific notices.

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