Facebook pixel

Manager – Sales Engineering
Northeast
Confirmed live in the last 24 hours
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Requirements
  • Coach sales engineers on Dataiku's product value, and the application of the Challenger Sales methodology
  • Serve as a player/coach to engage on high-profile customer opportunities
  • Serve as a technical point of contact for sales leadership; communicate technical risks and opportunities faced in sales engagements
  • Mentor team members; host regular check-ins, provide career guidance, and hire and scale team
  • Build strong working relationships with cross functional teams to ensure alignment
  • Communicate directly with sales leadership to strategize
  • Host enablement sessions
  • Partner with the Sales Engineering leadership to refine key performance indicators for your team
  • At least five years of experience in sales engineering
  • At least two years of people management experience, including a passion for building and hiring teams
  • Experience in complex / large-scale enterprise analytics deployment
  • Experience building and enabling high performing teams
  • Demonstrated intellectual curiosity regarding the intersection of business and technology
Responsibilities
  • Lead a team of trusted advisors who are responsible for demonstrating the value of Dataiku's product
  • Partner with the sales organization to earn new and retain existing Dataiku clients
  • Help prospective customers understand how Dataiku can help solve business challenges
  • Collaborate with internal stakeholders across product, marketing, sales, customer success, and others
  • Mentor your team; hire and retain top talent
Desired Qualifications
  • Proficiency in programming languages (Python, R, SQL, Java, etc..)
  • Experience with cloud services (AWS, Azure, GCP)
  • Understanding of the machine learning lifecycle (feature engineering, model training, model deployment, batch and real time scoring) and engineering considerations
  • Hands on experience with computational resources and frameworks (containerization, Kubernetes, Spark)
  • Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
  • Knowledge of Kubeflow, Airflow, or other orchestration tools
  • Excellent communication and presentation skills
Dataiku

1,001-5,000 employees

Enterprise AI & ML platform
Company Overview
Dataiku’s mission is to pioneer everyday AI by helping everyone in an organization – from technical teams to business leaders – use data to make better decisions and drive business value on a daily basis. The company has developed a platform that systemizes the use of data and AI to enable organizations to customize, share, and reuse AI components and apps to easily deliver high-quality projects and streamline the path to production.
Benefits
  • Health, life & pension benefits
  • Equity
  • Time off for R&R
  • Public holidays
  • Work from anywhere policy (unique to team)
  • 12 weeks of paid parental leave
  • Volunteering opportunities
  • Career Development opportunities
  • Technology stipend
  • Onsite meals & healthy snacks
  • Office happy hours
  • Company-wide events
Company Core Values
  • Diversity of People & Perspectives
  • Tolerance & Open-Mindedness
  • Accountable Camaraderie
  • Work-Life Balance
  • Dedication to Learning
  • Conscious Long-Term Responsibility