Head of Solutions Architecture and Field Applied Science

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Gretel

πŸ’΅ $220k-$250k
πŸ“Remote - United States, Canada

Job highlights

Summary

Join Gretel's mission to build the world’s best developer platform for synthetic data as the Head of Solutions Architecture & Field Applied Science.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. PhD preferred
  • Strong technical expertise in data engineering, Cloud infrastructure, machine learning, and deployment, with hands-on experience in developing and implementing enterprise-scale solutions
  • Proven experience in a leadership role, managing technical teams and delivering complex solutions in the field of data engineering or machine learning
  • Demonstrated ability to effectively engage with enterprise customers, understand their business needs, and deliver tailored technical solutions to address their challenges
  • Excellent communication and interpersonal skills, with the ability to communicate complex technical concepts to both technical and non-technical stakeholders
  • Fluency in Python, utilizing Colab or Jupyter notebooks, and working with open-source libraries
  • Experience with deploying a machine learning solution, working with containers and related tooling (Kubernetes, Helm, Kubecutl) on AWS, Azure, and GCP

Responsibilities

  • Lead and support customers through pilot implementations, ensuring the successful deployment of solutions tailored to meet their specific business use cases
  • Partner with our account executives (sales reps) and prospects/customers directly to align Cloud infrastructure, data pipeline, and ML requirements to inform the design, build, and deployment of the technical customized solution (paid pilot or deal)
  • Work closely with cross-functional teams, including product, applied science, sales, and marketing to drive alignment on product roadmap, feature development, and go-to-market strategies
  • Be the voice of the customer: proactively identify opportunities in our product based on trends identified across customer needs, and build solutions to address these emerging patterns
  • Hire and manage a team of field ML engineers, providing guidance, mentorship, and support to ensure the successful execution of projects and customer deliverables

Benefits

Annual salary range for this role is $220,000 - $250,000 USD

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