AI Sales Engineer, (US)
RemoteSeniorNACloud ComputingArtificial IntelligenceSales EngineerAmbassadorLearning & Developmentscikit-learnLinearAccount ManagementMLOps
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Requirements
- You can empathize with the frame of reference of who you are communicating with and tailor your message and approach accordingly.
- Ability to simplify complex, technical concepts
- A quick and self learner:
- You are undaunted by the technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.
- You ask the right questions with the customer to uncover nuances in their unique deployments.
- Ability to work within ambiguity and take action with limited direction
- Knowledgeable in Machine Learning:
- You may not have a PhD in ML but you know the difference between Linear Regression and Boosted Trees and the advantages / disadvantages of each.
- You have some experience training models in common packages such as scikit-learn, HuggingFace, fastai, and etc.
- 5+ years within customer facing role:
- 5+ years within customer facing role
- Pre-sales, technical account management, or consulting experience
- Worked with customers within the high enterprise (e.g. Fortune 500, etc)
- Proficiency in:
- Proficiency in:
- Previous experience working across and aligning Sales, Product, and Engineering
- Previous experience within a team that underwent a high growth stage
- Previous engineering experience in: Data Engineering, MLOps, Kubernetes, GCP / AWS / Azure
- The estimated annual salary and variable compensation for this role is between $140,000 - $230,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.
- While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.
Responsibilities
- You are the trusted advisor to the customer:
- Build relationships with technical stakeholders
- Lead product demonstrations of the Arize platform
- Lead discovery to understand prospect’s ML stack to collaborate with the Sales team to construct a compelling value proposition of the Arize Platform
- Handle technical objections and develop strategies across sales, engineering, and product to unblock them
- Act as a Domain Expert within AI/ML:
- Write educational and compelling blog posts about ML and MLOps related topics
- Collaborate to create and enhance documentation, recorded video assets and other publically available as well as internal enablement materials
- Engage in relevant ML communities online to raise awareness on challenges of deploying ML in production
Benefits
- Competitive salary package reflecting your experience and skills as an AI Sales Engineer at Arize.
- Opportunity to work on cutting-edge technology in a rapidly growing company with over $135M funded by top investors, serving leading enterprises including Booking.com, Uber, Siemens, PepsiCo.
- Comprehensive benefits package tailored for Arize employees that includes health insurance options and retirement savings plans to support your long-term wellbeing and financial security.
- Flexible work arrangements allowing you the freedom to balance personal commitments with professional responsibilities, including remote working opportunities where applicable within our team's structure.
- Continuous learning environment that encourages skill development through access to training programs, conferences, webinars and internal knowledge sharing sessions focused on AI/ML advancements and best practices in MLOps.
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