Deployment Strategist

Vooma

• $110K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience in consulting, product management, account management, customer success, or a similar role
  • Ability to pivot between strategy and execution with ease
  • Exceptional communication and relationship-building skills with various stakeholders
  • Customer-focused with a strong desire to drive impactful results
  • Passion for AI innovation and adaptability to new workflows

Responsibilities

  • Oversee the complete customer relationship and implementation lifecycle from pre-sale to post-go-live
  • Collaborate with customers to develop AI roadmaps and transformation strategies that align with their business objectives
  • Build relationships with executives and act as a strategic partner while also engaging with operational details
  • Establish and optimize success metrics to ensure clients achieve tangible ROI
  • Coordinate efforts across Go-To-Market, Engineering, and Product teams
  • Dedicate about 20% of time to enhancing the deployment operating system and innovating AI-native workflows

Benefits

  • Join a high-performing, innovative team at a pivotal moment
  • Gain hands-on experience in an AI-native company
  • Competitive compensation with significant equity potential
  • Comprehensive medical, dental, and vision insurance
Full Job Description
About the role

This is a rare opportunity to join an experienced, high-performing team at an inflection point, early enough to have an outsized impact and learn firsthand how an innovative, AI-native company operates.

The Deployment Strategist owns customer relationships end-to-end, from pre-sale through long-term adoption, acting as the bridge between what customers need and what we build. You'll also dedicate roughly 20% of your time to building and refining Vooma's deployment operating system, pioneering AI-native workflows at the bleeding edge of what's possible.

This role is right for you if you're ambitious, entrepreneurial, and energized by ownership. You'll work directly alongside customers and the engineering team, getting deep in the details to drive outcomes. The best candidates bounce fluidly between high-level strategy and fine-grained execution, doing whatever it takes to get customers to success.

Responsibilities
  • Own the full customer relationship and implementation lifecycle, from pre-sale through post-go-live, including enterprise accounts
  • Partner with customers to co-create AI roadmaps and transformation plans aligned to their business goals
  • Build executive-level relationships and serve as a strategic thought partner, then roll up your sleeves to work deep in the details alongside customers and the engineering team
  • Design, track, and optimize success metrics to ensure customers realize clear ROI
  • Drive cross-functional coordination across GTM, Engineering, and Product
  • Spend roughly 20% of your time building and refining our deployment operating system, pushing the frontier of how we operate as an AI-native company
Must haves
  • 3+ years of relevant experience in consulting, product management, account management, customer success, or a similar high-output role
  • Whatever it takes mentality and low ego; you move between strategy and execution without hesitation
  • Strong communication and relationship-building skills across executive and operational stakeholders
  • Deep customer orientation and genuine drive to get into the details to deliver impact
  • Excitement about operating at the forefront of AI and a hunger to constantly adapt to new workflows
Nice to haves
  • Experience in logistics, supply chain, or enterprise SaaS
  • Exposure to AI/ML products or solutions
  • Startup experience
Compensation
  • The opportunity to join a formidable team early enough to have an outsized impact and learn how an innovative business operates holistically
  • Competitive compensation and significant equity upside
  • Medical, dental, and vision coverage

This role is based in person in San Francisco, CA, with approximately 10-20% travel.

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