Description

You will serve as the primary technical resource for customers and partners, guiding them through AI strategy, architecture, and end-to-end model lifecycles.

Responsibilities

• Lead technical evaluations and act as a trusted advisor to stakeholders ranging from Data Scientists to C-level executives.
• Develop product demos, prototypes, and proof-of-concepts to demonstrate AI solution feasibility.
• Oversee the deployment and integration of AI solutions into client environments and manage the hand-off to Delivery and Engineering teams.
• Partner with Sales to align commercial and technical parameters and help achieve target quotas.
• Provide feedback to Product and Engineering leaders regarding product gaps, strategy, and resource requirements.
• Build and maintain a solution engineering playbook, including demo materials and competitive intelligence.

Required Skills

• 5+ years of experience in customer-facing technical roles, including B2B software solution design or AI/ML consulting.
• 5+ years of consulting experience leading a solution engineering team.
• Hands-on experience with supervised and unsupervised learning, feature engineering, model training, and deployment.
• Proficiency in Python, Javascript, Typescript, or Bash scripting.
• Experience with at least one public cloud platform, such as AWS, Azure, or GCP.
• Experience using Data Science tools like AWS SageMaker, AzureML, Dataiku, DataRobot, H2O, or Jupyter Notebooks.
• Ability to execute value-centric sales motions using methodologies like MEDDIC.
• Strong presentation skills for both technical and executive audiences.
• Bachelor's degree in Computer Science, Statistics, Data Science, or a related field.

Preferred Skills

• Hands-on experience building and implementing machine learning or GenAI models.

Key Skills

Education

Bachelor's degree