Applyπ United States, Canada
π§ Full-Time
πΈ 225000.0 - 280000.0 USD per year
π Software Development
π’ Company: Gretelπ₯ 51-100π° $52,199,996 Series B over 3 years agoArtificial Intelligence (AI)Data Collection and LabelingMachine LearningPrivacyGenerative AIInformation TechnologySoftware
- 5+ years of experience in a technical customer-facing role serving Enterprise customers and showcasing a track record of successful technical sales scoping, design, and implementation.
- 3+ years of experience working with modern machine learning frameworks and deep learning models, including fluency in Python, utilizing Colab or Jupyter notebooks, and working with open-source libraries, such as Pandas.
- Experience working with data pipelines and orchestration / tooling for the modern data stack.
- Previous hands on engineering experience in Data Engineering and MLOps.
- Experience deploying ML models and required infrastructure set up, including Kubernetes (Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), and Azure Kubernetes Services (AKS)), containers, and CI/CD.
- Exceptional presentation and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
- Ability to prioritize and manage multiple projects at once, across different customers with different use cases.
- Willingness to travel occasionally (up to 20%) for customer meetings, conferences, and industry events, as needed.
- Fluency in English is required; proficiency in additional languages is a plus.
- Build custom prototypes and product demos utilizing Colab/Jupyter notebooks and Python libraries that highlight end-to-end operationalized use cases of Gretel.
- Lead and support customers in identifying use cases, scoping, and, partnering with the broader team to ensure the successful deployment of solutions tailored to meet their specific business use cases.
- Be the voice of the customer, communicating back experimental results and empirical experience gained from the field and critical for our internal applied science research.
- Proactively identify opportunities in our product based on trends identified across customer needs, and build solutions to address these emerging patterns.
- Conduct and guide research in the field, working with our most pioneering customers to advance what is possible with our platform.
- Lead technical discovery during the sales lifecycle to deeply understand prospectsβ ML and engineering requirements.
- Partner with the account teams to differentiate proposed approaches versus open source and competitive solutions.
- Stay up-to-date with industry trends, best practices, and advancements in generative AI, data privacy, and cloud infrastructure.
- Exhibit a customer-focused mindset by prioritizing client needs, fostering strong relationships, and delivering exceptional service to ensure customer satisfaction and success.
DockerPythonSQLAWS EKSKerasKubernetesMachine LearningNumpyOpenCVPyTorchAlgorithmsData engineeringREST APIPandasTensorflowCommunication SkillsAnalytical SkillsCI/CDProblem SolvingCustomer serviceAttention to detailPresentation skillsActive listeningData visualizationData modeling
Posted 1 day ago
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