Senior Solutions Architect

3 weeks ago

Canada Gretel Labs Inc. Full time $225,000 - $280,000
About Gretel Labs Inc.

Gretel Labs Inc. is a leading developer platform for synthetic data, solving the data bottleneck problem for developers, data scientists, AI/ML researchers, and product teams. Our mission is to build the world's first developer platform for synthetic data.

Job Title: Senior Solutions Architect

We are seeking a highly skilled Senior Solutions Architect to join our team. As a Senior Solutions Architect, you will play a critical role in driving the success of our go-to-market efforts by helping to differentiate our platform throughout the sales process, drive value-centered proof of concepts (POC) and paid pilots, and help existing customers better utilize synthetic data via repeatable, scalable use cases.

Key Responsibilities:
  • Partner with our sales, engineering, product, and applied science teams to drive the success of our go-to-market efforts.
  • Help to differentiate our platform throughout the sales process.
  • Drive value-centered proof of concepts (POC) and paid pilots.
  • Help existing customers better utilize synthetic data via repeatable, scalable use cases.
  • 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.
  • Augment the technical discovery during the sales lifecycle to deeply understand prospects' ML and engineering requirements.
  • Help the account teams 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.
Requirements:
  • 5+ years of experience in a technical customer-facing role serving Enterprise customers.
  • Fluency in Python, utilizing Colab or Jupyter notebooks, and working with open-source libraries.
  • Deep experience working with data pipelines and orchestration/tooling for the modern data stack.
  • Previous hands-on engineering and/or architecting experience in Data Engineering and MLOps.
  • Exceptional presentation and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
  • Ability to operate with high horsepower, adept at frequent context switching and working on multiple projects at once with expansive ownership and prioritization.
  • Fluency in English is required; proficiency in additional languages is a plus.
Preferred Qualifications:
  • 2+ Years of experience working with state-of-the-art machine learning and deep learning models.
  • 3+ Years of exposure to modern machine learning frameworks and technologies.
  • Knowledge of data privacy concepts, data security, and data privacy regulations including anonymization, de-identification, privacy by design, GDPR, etc.
  • Experience implementing or working with data anonymization or data obfuscation techniques is preferred.
  • Experience working at a growth-stage startup where you were involved in the process buildout and scalability.
About Gretel Labs Inc.

Gretel Labs Inc. is an equal opportunity employer and welcomes applications from diverse candidates. We celebrate diversity and are committed to creating an inclusive environment for all candidates and employees. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate. During the offer discussion, your recruiter will review the finalized base salary, bonus (for applicable roles), benefits, and perks (additional information available on our career site), and stock options as they'll be reflected in the offer letter.

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