Abrar Admin

Arize AI

<div><div><div>Location</div>
<div>Remote (San Francisco)</div>
</div><div><div>Status</div>
<div>Full time</div>
</div><div><div>Department</div>
<div>Sales</div></div></div>
<br><div><div><div><div>About Arize</div>
<p>
AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That&rsquo;s where we come in. Arize AI is the leading AI &amp; Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace&mdash;so teams can ship faster with confidence.</p>
<p>
We&rsquo;re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.</p></div><div><b>
The Opportunity</b></div>
<p>
Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.</p>
<p>
We are looking for a fast-paced, client-obsessed Account Executive with an entrepreneurial mindset to find, win and grow new customers. You&rsquo;ll be searching for business while being an engaged member of the AI/ML community, identifying prospects who will benefit most from our solution. You&rsquo;ll accomplish this by running an effective ground-game, talking to AI/ML leaders, identifying opportunities to help and building solutions to help achieve their goals. You&rsquo;ll be involved in exciting and complex sales cycles and leverage your business acumen to navigate the intricacies.</p>
<div><b>
What You&rsquo;ll Do</b></div>
<ul><div>Be a networker, seller and closer</div>
<ul><div>Build relationships with AI/ML stakeholders and be an active member of the community</div>
<div>Conduct discovery with prospects and share the Arize vision</div>
<div>Run a sophisticated prospecting strategy to &ldquo;get the word out&rdquo; and find deals</div>
<div>Create sales plays, write talk tracks and strategically identify new business opportunities</div>
<div>Deeply research accounts, stakeholders and competitors</div>
</ul><div>Manage proof of concepts, drive adoption and grow accounts</div>
<ul><div>Manage and navigate internal / external stakeholders to ensure success</div>
<div>Understand use cases, scope licensing and find more workloads</div>
<div>BANT or MEDDIC methodology preferred</div>
</ul></ul><div><b>What We&rsquo;re Looking For</b></div>
<ul><div>5+ years enterprise SaaS sales experience: Hungry, aggressive and motivated</div>
<div>Familiarity or willingness to learn sales technologies to find and attract prospects</div>
<div>Self-starter and comfortable working in limited process environments</div>
<div>Full-cycle sales experience and ability to navigate the complexities of enterprise deals</div>
<div>Fast-paced and focused on helping prospects / customers</div>
<div>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</div>
<div>Strong communication skills: Clearly and objectively communicate observations from the field</div>
</ul><div><b>Bonus Points, But Not Required</b></div>
<ul><div>Previous selling experience in</div>
<ul><div>Software Engineering</div>
<div>Data Science</div>
<div>Machine Learning</div>
</ul>
</ul><p>The estimated annual salary and variable compensation for this role is between $250,000 - $300,000, 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.</p>
<p>
While we are a remote-first company the ideal candidate will be based in the San Francisco Bay Area.</p><div><div>
More About Arize</div>
<p>
Arize&rsquo;s mission is to make the world&rsquo;s AI work&mdash;and work for people.<br>
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge&mdash;understanding whether AI is performing and how to improve it at scale.</p>
<p>
Learn more about what we're doing here:</p>
<p>
https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/</p>
<p>
https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/</p>
<p>
Diversity &amp; Inclusion @ Arize</p>
<p>
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</p>
<ul>
<div>Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI</div>
<div>Culturally conscious events such as LGBTQ trivia during pride month</div>
<div>We have an active Lady Arizers subgroup</div>
</ul></div></div><div></div><div><div><div><div><div><div>Apply now</div></div></div></div></div></div></div><p></p>

Enterprise Account Executive (San Francisco)

<div><div><div>Location</div>
<div>Remote (San Francisco)</div>
</div><div><div>Status</div>
<div>Full time</div>
</div><div><div>Department</div>
<div>Solutions Engineering</div></div></div>
<br><div><div><div><div>About Arize</div>
<p>
AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That&rsquo;s where we come in. Arize AI is the leading AI &amp; Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace&mdash;so teams can ship faster with confidence.</p>
<p>
We&rsquo;re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.</p></div><div><b>
The Team</b></div>
<p>
Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.</p>
<p>
We are looking for a client-obsessed AI Solutions Engineer with entrepreneurial tendencies to join the good fight and help build out our Solutions Engineering org. You&rsquo;ll be the trusted technical advisors for our customers, driving business value, offering advice, and growing accounts. You&rsquo;ll accomplish this by leading customers to solutions oftentimes by teaching the product to new users or consulting on best practices. You must be ready for technical discussions with data scientists and engineers, then demonstrate the value of Arize in business discussions with directors and executives. The goal is to enable our customers to become successful and enthusiastic about Arize. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone.</p>
<div><b>
What You&rsquo;ll Do</b></div>
<ul><div>Work closely with some of the most sophisticated ML / GenAI teams in the world.
<ul><div>You will act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders.</div>
</ul></div><div>Advise on GenAI and ML best practices</div>
<div>Give ML and LLM product demos to technical and business stakeholders</div>
<div>Run strategic business reviews for customers in partnership with our sales team</div>
<div>Interface with our pre-sales engineering team to gather client goals and KPI&rsquo;s.</div>
<div>Partner with our product and engineering teams to help drive the product roadmap</div>
<div>Spearhead new opportunities within existing accounts to help drive expansions.</div>
</ul><div><b>What We&rsquo;re Looking For</b></div>
<p><i>
Note: Even if you do not check every single box, we still encourage you to apply!</i></p>
<ul>
<div>Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production.</div>
<div>Comfortable working in public Cloud environments (AWS, Azure, GCP)</div>
<div>Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn</div>
<div>Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy</div>
<div>Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations</div>
<div>Understanding of GenAI concepts and application evaluation + development lifecycle</div>
<div>Proficiency in a programming language (Python, JS/TS, Java, Go, etc)</div>
<div>Strong Communication Skills - Ability to simplify complex, technical concepts.</div>
<div>A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.</div>
</ul><div><b>Bonus Points, But Not Required</b></div>
<ul><div>Previous engineering experience in:
<ul><div>Data Science</div>
<div>MLOps</div>
<div>ML Frameworks</div>
<div>LLM / Agentic frameworks</div>
</ul></div><div>Customer facing experience strongly preferred such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles</div>
<div>Prior experience working with applications deployed with Kubernetes</div>
<div>Prior experience demoing technical products to both business and technical audiences</div>
</ul>
<p>The estimated annual salary and variable compensation for this role is between $125,000 - $175,000, 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.</p>
<p>
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.</p><div><div>
More About Arize</div>
<p>
Arize&rsquo;s mission is to make the world&rsquo;s AI work&mdash;and work for people.<br>
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge&mdash;understanding whether AI is performing and how to improve it at scale.</p>
<p>
Learn more about what we're doing here:</p>
<p>
https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/</p>
<p>
https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/</p>
<p>
Diversity &amp; Inclusion @ Arize</p>
<p>
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</p>
<ul>
<div>Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI</div>
<div>Culturally conscious events such as LGBTQ trivia during pride month</div>
<div>We have an active Lady Arizers subgroup</div>
</ul></div></div><div></div><div><div><div><div><div><div>Apply now</div></div></div></div></div></div></div><p></p>

AI Solutions Engineer, West

<div><div><div>Location</div>
<div>Remote (San Francisco)</div>
</div><div><div>Status</div>
<div>Full time</div>
</div><div><div>Department</div>
<div>Solutions Engineering</div></div></div>
<br><div><div><div><div>About Arize</div>
<p>
AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That&rsquo;s where we come in. Arize AI is the leading AI &amp; Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace&mdash;so teams can ship faster with confidence.</p>
<p>
We&rsquo;re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.</p></div><div><b>
The Opportunity</b></div>
<p>
As an AI Solutions Manager, you&rsquo;ll partner with some of the most innovative AI/ML teams in the world. You&rsquo;ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone.</p>
<div><b>
The Team</b></div>
<p>
Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.</p>
<p>
As an AI Solutions Manager, your work will directly contribute to our customers&rsquo; success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our customers. You&rsquo;ll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You&rsquo;ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You&rsquo;ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies.</p>
<div><b>
What You&rsquo;ll Do</b></div>
<ul><div>Build and deepen relationships with AI/ML users to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. This includes regular touchpoints like weekly/bi-weekly calls and ongoing account management.</div>
<div>Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions.</div>
<div>Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices.</div>
<div>Run workshops and training sessions with customers during onboarding and new functionality</div>
<div>Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships.</div>
<div>Proactively monitor product usage across your accounts to further gauge account health</div>
<div>Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies.</div>
<div>Effectively relay customer feature requests to internal teams and advocate for customer needs.</div>
<div>Ensure support teams are aligned with customer requests and priorities.</div>
</ul><div><b>What We&rsquo;re Looking For</b></div>
<ul><div>3+ years of experience as a Customer Success Manager in SaaS.</div>
<div>A self-starter mindset with the ability to thrive in limited process environments.</div>
<div>Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively.</div>
<div>Strong communication skills for articulating observations and fostering collaboration across teams.</div>
<div>Proven ability to demo technical products and translate their value into tailored customer solutions.</div>
<div>Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results.</div>
<div>A strong team player who values collaboration and collective success.</div>
<div>Bonus: Familiarity with AI/ML workflows or GenAI technologies.</div>
</ul>
<p>The estimated annual salary and variable compensation for this role is between $140,000 to $175,000, 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.</p>
<p>
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.</p><div><div>
More About Arize</div>
<p>
Arize&rsquo;s mission is to make the world&rsquo;s AI work&mdash;and work for people.<br>
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge&mdash;understanding whether AI is performing and how to improve it at scale.</p>
<p>
Learn more about what we're doing here:</p>
<p>
https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/</p>
<p>
https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/</p>
<p>
Diversity &amp; Inclusion @ Arize</p>
<p>
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</p>
<ul>
<div>Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI</div>
<div>Culturally conscious events such as LGBTQ trivia during pride month</div>
<div>We have an active Lady Arizers subgroup</div>
</ul></div></div><div></div><div><div><div><div><div><div>Apply now</div></div></div></div></div></div></div><p></p>

AI Solutions Manager, West

Join Arize AI and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Arize AI

About Company

Enterprise Account Executive (San Francisco)

AI Solutions Engineer, West

AI Solutions Manager, West