Head of Solutions Architecture and Field Applied Science
Gretel
π΅ $220k-$250k
πRemote - United States, Canada
Please let Gretel know you found this job on JobsCollider. Thanks! π
Job highlights
Summary
Join Gretel's mission to build the worldβs 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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