Solution Architect, Partner Development

Posted 10 Days Ago
Hiring Remotely in USA
Remote
195K-265K Annually
Senior level
Artificial Intelligence • Machine Learning
The Role
The Solution Architect for Partner Development will manage partnerships, drive account planning and sales strategies, conduct technical workshops, lead product demonstrations, and act as a domain expert in AI/ML to optimize partner performance and continuously improve the customer experience at Arize.
Summary Generated by Built In

The Opportunity

AI is transforming our world, with the potential to help humanity tackle immense global challenges. From chatbots powered by large language models to sophisticated multi-step agent systems, from personalized content recommendations to generative AI creating new content, and from computer vision systems assisting researchers in analyzing genetic markers at scale -- machine learning is revolutionizing countless aspects of our daily lives.

Arize is the leading AI observability platform to help AI/ML engineers discover issues, diagnose problems, and improve the results of machine learning models. In short: we are here to build world class software that helps make AI work better.

The Team

Our solutions team interacts with some of the most complex production-level machine learning infrastructure and AI companies in the world. We work closely with our Engineering and Product teams composed of veterans with backgrounds in deep learning, autonomous systems, and distributed computing, who tackle problems that push the boundaries of technology. Every day is an opportunity to solve exciting challenges and learn new things.

We are looking for a Solution Architect, Partner Development to help drive, nurture and grow our relationship with both System Integrators (SI) and hyperscalers via a sell-to, sell with and sell-through motion. The ideal candidate is fast-paced and highly self-motivated, very comfortable diving deep into code helping orchestrate and instrument partner code along with strong sales, leadership, communication and organization skills. 

What You’ll Do

Own our partnerships:

  • Be a networker, seller, partner and closer
  • Deeply research accounts, stakeholders and competitors and establish executive relationships with these partners and share the Arize vision 
  • Drive territory planning, account planning, pipeline management and  forecasting to identify new business sales revenue and achieve partner sales quotas
  • Prospect and develop relationships within the Arize partner ecosystem. 
  • Execute and collaborate on co-marketing events, activities and content creation to increase brand awareness, visibility and lead generation for co-selling with SI and hyperscaler partners 
  • Manage the alliance development lifecycle, monitor the performance and success of our partnerships and optimize as needed 
  • Collaborate with other departments within our organization (leadership, product, sales, engineering, marketing) to ensure a seamless partner and customer experience. Share partner and customer feedback to drive continuous improvement. 

You are the trusted advisor to the customer:

  • Build relationships with system integrators (SI) and hyperscalers, both business and technical stakeholders
  • Lead product demonstrations across various partner teams to help educate on the value proposition of Arize. 
  • Conduct workshops to get deeper technical knowledge across core partner ecosystems. 
  • Handle technical objections and develop strategies across sales, engineering, and product to unblock them 

Act as a Domain Expert within AI/ML:

  • Provide technical leadership and guidance, including troubleshooting and addressing potential issues, private deployments, and proof of concepts.
  • Provide support and education to grow the partner’s Arize competency 
  • Understand and develop use cases with our partners and deliver joint go-to-market programs, sales plays and talk tracks to help partners identify and win new business opportunities. 
  • Train potential partners how to use and sell the product to their clients.


What We’re Looking For

Strong communication skills:

  • Clearly and objectively communicate observations from the field and managing partnerships forward
  • You can empathize with the frame of reference of who you are communicating with and tailor your message and approach accordingly. 
  • You have an uncanny ability to simplify complex, technical concepts

A quick and self learner: 

  • Self-starter and comfortable working in limited process environments
  • Fast-paced and focused on building out our channel partnerships 
  • Team player: Collaboration with peers and other organizations within Arize is critical to success, we deeply value the success of the collective team over individual gains

5+ years of partnership, alliances, enterprise or channel sales experience:

  • Hungry, aggressive and motivated 
  • Experience and relationships with major System Integrators and/or Hyperscalers 
  • Track record of consistent quota attainment or over achievement 
  • Strong technical sales background, with the ability to demo and drive product led sales motion. 
  • Strong ability to train and educate users on the value proposition of Arize.

Hands on knowledgeable in AI and it’s software ecosystem:

  • 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 are just as comfortable writing a quick proof of concept RAG python application running Docker locally as you are comfortable explaining the nuances of deploying a production grade SAM CV service across several AZs for fallover prevention
  • Be knowledgeable about the industry and best practices, being a guide for prospects as they embark on their GenAI journey or plan out another traditional ML use case.
  • Have solid understanding of Kubernetes, Helm, cloud services (AWS, Azure, GCP) and their managed Kubernetes services.
  • Know a thing or two about network architecture and application deployment strategies.

Bonus Points, But Not Required

  • Previous alliance partner experience gained within the Cloud/Saas space and selling into the following departments: 
    • Software Engineering
    • Data Science
    • Machine Learning

The estimated annual salary and variable compensation for this role is between $195,000 - $265,000, 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.



More About Arize

Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world.

Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c


Diversity & Inclusion @ Arize

Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture

  • Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
  • Culturally conscious events such as LGBTQ trivia during pride month
  • We have an active Lady Arizers subgroup

Top Skills

AI
Machine Learning
The Company
HQ: Berkeley, CA
78 Employees
On-site Workplace

What We Do

The leading machine learning observability platform for ML practitioners to detect and troubleshoot AI/ML model issues

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