Hire and develop a team of deeply technical field engineers capable of guiding AI native customers across a wide range of data, analytical, and AI workloads.
Adapt the team's skills and engagement model to match the needs of digital and AI native customers
Consistently meet or exceed targets by making sure the team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle
Travel to customer sites for executive sessions, technical workshops, and building relationships
Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team
Stay current with emerging Data and AI trends in the digital native tech sector

Requirements

7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning)
3+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment
A history of building a territory, growing strategic customers, and exceeding targets
Experience in influencing large product and engineering decisions based on customer and market evidence.
A track record of evolving and changing your team engagement models to adapt to customers' demands.
Technical depth and skills in the data and AI space to build credibility with the team, customers, and stakeholders.
Inspiring a team vision about the unique nature of the AI natives business
A history of execution by managing workloads and consumption with sales, product, and engineering counterparts
Experience owning technical executive alignment in accounts that guide strategic decisions

Benefits

Eligibility for annual performance bonus
Equity
Comprehensive benefits and perks

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data warehousingbig datacloud infrastructuremachine learningtechnical qualificationproof of conceptsdata analysisAI workloadscustomer engagementteam leadership

Soft skills

team developmentrelationship buildinginfluencing decisionsadaptabilityexecutionvision inspiringcommunicationcollaborationcustomer focusstrategic thinking