About Arize

Arize AI is the leading AI observability and evaluation platform, helping teams monitor, troubleshoot, and improve machine learning and generative AI systems in production. We partner with top enterprises and cutting-edge AI companies to ensure their AI works reliably at scale.

The Role

We’re looking for a Brand Designer to help bring Arize to life across every touchpoint—from digital campaigns to field events to large-scale brand activations.

This is a high-impact, hands-on role for someone who is deeply creative, highly detail-oriented, and obsessed with craft. You’ll work closely with the Head of Brand and cross-functional partners to define and execute a bold, cohesive brand that stands out in a rapidly evolving AI category.

If you care about pixels, typography, systems, and storytelling—and want to help shape how a category-defining company shows up in the world—this role is for you.

What You’ll Do

Design & Execution

• Design across a wide range of surfaces: digital ads, social, web, email, presentations, event collateral, and OOH
  
  
• Own end-to-end execution for campaigns and launches, from concept to final production
  
  
• Create compelling visual systems that scale across channels while maintaining consistency
  
  

Brand Building

• Help evolve and refine Arize’s brand identity, guidelines, and visual language
  
  
• Ensure brand consistency across all touchpoints while pushing creative boundaries
  
  
• Contribute to the development of standout brand moments, including events and large-scale activations
  
  

Creative Collaboration

• Partner closely with marketing, product marketing, and field teams to bring campaigns to life
  
  
• Work with external vendors and partners (agencies, printers, fabricators) as needed
  
  
• Translate complex, technical concepts into clear, engaging visual narratives
  
  

Craft & Detail

• Maintain a high bar for quality, precision, and polish in everything you produce
  
  
• Obsess over typography, layout, spacing, and visual hierarchy
  
  
• Continuously iterate and improve based on feedback and performance
  
  

What We’re Looking For

• ~3 years of experience in brand design, ideally in B2B tech, SaaS, or startups
  
  
• A strong portfolio showcasing high-quality, modern brand work across multiple channels
  
  
• Deep attention to detail and a clear point of view on design
  
  
• Experience designing for events, campaigns, and physical + digital environments
  
  
• Ability to move quickly, be scrappy, and execute at a high level in a fast-paced environment
  
  
• Strong communication and collaboration skills
  
  
• Interest in AI, data, or technical products is a plus
  
  

Why Arize

• Shape the brand of a category-defining AI company
  
  
• High ownership and creative impact across all surfaces
  
  
• Work on everything from digital to physical experiences
  
  
• Fast-moving, collaborative, and design-forward culture

Salary Range $120,000-$140,000 depending on experience plus a generous equity package

Must be located in the Bay Area

About the role

We’re looking for a Technical Product Marketing Manager to own competitive intelligence and sales enablement in an AI-native workflow. This role is focused on transforming competitive noise into clear, actionable insight that directly impacts live deals.

You’ll use AI tools and automation to gather raw inputs – monitoring competitors, tracking market shifts, and synthesizing signals – but your real value will be judgment. You’ll help revenue teams understand where we win, where we lose, how to position effectively, and what narratives resonate with technical buyers (eg: AI engineers, ML practitioners, or AI platform teams).

This role sits at the intersection of automation and insight. You’ll help build a competitive intelligence system that gives our sales team a clear edge in deals.

What you’ll do

Competitive Intelligence & Market Insight

Own ongoing competitive monitoring across product launches, pricing changes, messaging shifts, and sales motions. Build AI-assisted workflows to aggregate signals from websites, changelogs, reviews, analyst commentary, and market conversations.

Distill findings into sharp, opinionated insights that clarify implications for our positioning and sales strategy. Maintain and continuously evolve battlecards and competitive briefs that reflect current market dynamics. Identify emerging patterns and share insights and recommendations to product and revenue leadership.

Sales Enablement & Competitive Strategy

Partner closely with sales to translate positioning into practical talk tracks and objection-handling frameworks. Create and iterate on battlecards, differentiation frameworks, and competitive guides that improve how we compete throughout the entire sales cycle.

Participate in deal reviews to understand how competitive dynamics unfold in real conversations. Train reps on how to use competitive materials effectively, and continuously refine enablement assets based on field feedback.

AI-Native Research & Workflow Development

Design repeatable AI-assisted research workflows to track and analyze competitive signals. Experiment with automation, agents, and prompt systems to improve the quality and speed of insight generation.

Establish clear standards for when to rely on AI outputs and when to apply human judgment. Continuously improve research systems to increase signal quality and reduce noise.

Messaging Clarity & Narrative Development

Translate competitive insight into concise, compelling messaging. Help sharpen differentiation narratives that sales can confidently deliver in high-stakes conversations.

Ensure all materials are clear, opinionated, and grounded in real buyer dynamics.

Measurement & Impact

Track adoption and effectiveness of competitive materials across the sales organization. Gather feedback from reps and leadership to assess clarity, usability, and deal impact.

Refine content and workflows based on measurable influence on positioning confidence, objection handling, and win rates.

Future Scope: Partner Marketing Expansion

Over time, expand scope into partner marketing initiatives, helping shape co-marketing narratives and enablement with strategic ecosystem partners.

What we’re looking for

• 5–7 years of experience in product marketing, sales, competitive intelligence, or strategy
• Strong writing skills with the ability to distill complex information into clear, actionable insight
• Ability to read and reason about code, APIs, and technical documentation to understand product capabilities and competitive differences
• Structured thinker with strong synthesis skills (able to turn noisy inputs into clear frameworks and insights)
• Experience working cross-functionally with sales teams and supporting live deals
• Comfortable using AI tools (Claude Code, Cursor, or similar tools) as part of daily workflows
• Deep curiosity about how and why products, markets, and buyers behave
• Self-starter who thrives in fast-paced environments and takes ownership of outcomes

Bonus points

• Experience in Data/ML, AI, or developer-focused products
• Familiarity with building automation or AI-assisted workflows
• Exposure to competitive intelligence programs in high-growth companies
• Experience supporting live deals through positioning and objection handling
• Interest in buyer psychology and decision-making dynamics
• Exposure to coding or building technical side projects

Pay Range $140,000-$175,000 depending on experience

About the role

We’re looking for a Technical Product Marketing Manager to own how developers discover, adopt, and grow with Phoenix and the broader Arize developer ecosystem.

Phoenix is often the first touchpoint developers have with Arize. This role owns that experience end-to-end — from discovery to first use to sustained adoption and growth. You’ll help shape the product experience, remove friction, and expand Phoenix’s reach, usage, and developer mindshare.

This role sits at the intersection of product marketing, developer experience, and open-source growth. You’ll combine technical fluency, strong narrative instincts, and a bias to ship to drive measurable improvements in developer activation, engagement, and expansion.

What you’ll do

Own the developer growth motion

• Define and own key metrics across the developer journey: awareness, adoption, activation, engagement, and qualified conversion signals from Phoenix into AX where relevant
• Identify friction across the OSS, cloud, and self-serve experience, and partner with product to improve it
• Develop hypotheses and run experiments to improve onboarding, activation, engagement, and expansion

Narrative & positioning

• Own messaging and positioning for Phoenix and self-serve AX
• Clarify Phoenix’s role in the AI evaluation, observability, and agent development ecosystem
• Help articulate how Phoenix and Arize AX fit together for different audiences and stages of adoption
• Support launch coordination for major Phoenix releases

Developer journey & content

• Build technical content that supports key moments in the developer journey (first use, activation, production readiness)
• Create and improve onboarding and activation flows across OSS, cloud, and self-serve experiences
• Develop guides that show how Phoenix is used in real-world workflows, and how teams can extend those workflows into AX when needed
• Write from hands-on product usage and real technical understanding. 

Community & ecosystem

• Engage with the Phoenix and broader AI developer community to understand needs and surface insights
• Partner with DevRel on amplification and community engagement
• Identify which channels and communities are worth investing in, and help shape Arize’s developer community strategy
• Identify opportunities to grow Phoenix’s reach and mindshare

AI-Native Execution

• Use AI-native workflows to monitor ecosystem signals, synthesize feedback, and ship quickly
• Dogfood Arize products in your own workflows and write from direct experience
• Operate with a strong bias toward iteration, experimentation, and measurable outcomes

What we're looking for

• 3-5 years in developer marketing, product marketing, developer relations, or a technical/product role with strong go-to-market instincts
• Comfortable reading and working with code, APIs, and developer tools
• Strong technical writing skills
• Experience with AI/ML tooling, observability, or developer workflows
• Comfortable using AI tools as part of daily workflows
• Hands-on executor who ships fast
• SF-based

Bonus points

• • Experience with OSS go-to-market or PLG
  • Existing relationships in the SF AI community
  • Personal following in AI/ML

Pay Range $140,000-$175,000 depending on experience

Note: The nature of this role requires candidates to be based in the Buenos Aires area, though there isn't an in-office requirement.

The Opportunity

We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership.

What You’ll Do

• Debug and fix issues in our platform (and ship PRs with your fixes).
• Build internal tools and copilots powered by generative AI to supercharge our team.
• Rapidly prototype proof-of-concepts for customer use cases.
• Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption.

What We’re Looking For

• You have 2-5 years of experience in software.
• Strong in Python and Golang; comfortable shipping fixes in production systems.
• Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations)
• Hands-on with OpenTelemetry and deep familiarity with distributed tracing concepts.
• Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc).
• Familiarity or eagerness to learn JavaScript/TypeScript.
• Great debugger, creative problem solver, and fast learner.
• Independent and resourceful. You create solutions, not dependencies.

Bonus Points (but not required!)

• Experience in a customer-facing role
• Built copilots, plugins, or custom GenAI-powered applications.
• Open-sourced or contributed PRs to real codebases.
• Startup or fast-moving environment experience.

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 unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

The Opportunity

We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. While we are a remote-first company, the nature of this role requires candidates to be based in the Singapore area.

What You’ll Do

• Debug and fix issues in our platform (and ship PRs with your fixes).
• Build internal tools and copilots powered by generative AI to supercharge our team.
• Rapidly prototype proof-of-concepts for customer use cases.
• Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption.

What We’re Looking For

• You have 2-5 years of experience in software.
• Strong in Python and Golang; comfortable shipping fixes in production systems.
• Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations)
• Hands-on with OpenTelemetry and deep familiarity with distributed tracing concepts.
• Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc).
• Familiarity or eagerness to learn JavaScript/TypeScript.
• Great debugger, creative problem solver, and fast learner.
• Independent and resourceful. You create solutions, not dependencies.

Bonus Points (but not required!)

• Experience in a customer-facing role
• Built copilots, plugins, or custom GenAI-powered applications.
• Open-sourced or contributed PRs to real codebases.
• Startup or fast-moving environment experience.

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 unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

The Opportunity: 

We're looking for a driven Enterprise Expansion Account Executive to own and grow revenue within Arize's existing customer base. You'll work with AI engineers, Data Scientists, and platform teams who are already using our Enterprise platform - helping them unlock more value, expand into new teams, and deepen their investment as their AI initiatives scale. This is a high-impact, high-ownership role at the intersection of a fast-moving product and a customer base growing rapidly alongside the AI industry.

What You’ll Do:

• Own the full expansion and renewal sales cycle across your book of business, executing a complex, value-based process that spans multiple stakeholders, teams, and use cases within each account.
• Proactively identify and develop new growth opportunities by analyzing customer usage, mapping whitespace, and targeting high-value needs across business lines and technical teams.
• Build and maintain executive relationships, creating awareness and buy-in at the VP and C-suite level to support pipeline growth and long-term account expansion.
• Define and execute account strategies in close partnership with Solutions Managers and internal account teams to drive sales velocity and deliver customer outcomes.
• Clearly articulate Arize's unique value - technically and commercially - tailoring your message to both technical practitioners and business decision-makers.
• Forecast accurately and consistently, leveraging key metrics and pipeline data to provide visibility and inform go-to-market decisions.
• Maintain rigorous hygiene in Salesforce, tracking all activity, opportunities, and account intelligence to support a high-performing revenue team.
• Travel as needed to build relationships and engage customers on-site.

What We’re Looking For:

• 5+ years of B2B SaaS sales experience
• Proven track record of driving expansion and upsell revenue within Enterprise accounts, bonus for selling AI/ML or data infrastructure software to VP and C-suite stakeholders.
• Demonstrated success building and deepening executive relationships across Global 2000 organizations, engaging both technical leaders (AI/ML, data engineering, platform) and business decision-makers.
• Expertise in developing multi-year account plans that expand Arize's footprint by aligning product value to evolving customer needs and AI initiatives.
• Established ability to manage a robust and diverse pipeline of expansion opportunities, balancing near-term wins with long-term strategic growth within a collaborative go-to-market team.
• 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
• Strong communication skills: Clearly and objectively communicate observations from the field
• Previous history of also working and closing new business deals and selling through product led experience 

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.

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.

The Opportunity: 

We're looking for a driven Enterprise Expansion Account Executive to own and grow revenue within Arize's existing customer base. You'll work with AI engineers, Data Scientists, and platform teams who are already using our Enterprise platform - helping them unlock more value, expand into new teams, and deepen their investment as their AI initiatives scale. This is a high-impact, high-ownership role at the intersection of a fast-moving product and a customer base growing rapidly alongside the AI industry.

What You’ll Do:

• Own the full expansion and renewal sales cycle across your book of business, executing a complex, value-based process that spans multiple stakeholders, teams, and use cases within each account.
• Proactively identify and develop new growth opportunities by analyzing customer usage, mapping whitespace, and targeting high-value needs across business lines and technical teams.
• Build and maintain executive relationships, creating awareness and buy-in at the VP and C-suite level to support pipeline growth and long-term account expansion.
• Define and execute account strategies in close partnership with Solutions Managers and internal account teams to drive sales velocity and deliver customer outcomes.
• Clearly articulate Arize's unique value - technically and commercially - tailoring your message to both technical practitioners and business decision-makers.
• Forecast accurately and consistently, leveraging key metrics and pipeline data to provide visibility and inform go-to-market decisions.
• Maintain rigorous hygiene in Salesforce, tracking all activity, opportunities, and account intelligence to support a high-performing revenue team.
• Travel as needed to build relationships and engage customers on-site.

What We’re Looking For:

• 5+ years of B2B SaaS sales experience
• Proven track record of driving expansion and upsell revenue within Enterprise accounts, bonus for selling AI/ML or data infrastructure software to VP and C-suite stakeholders.
• Demonstrated success building and deepening executive relationships across Global 2000 organizations, engaging both technical leaders (AI/ML, data engineering, platform) and business decision-makers.
• Expertise in developing multi-year account plans that expand Arize's footprint by aligning product value to evolving customer needs and AI initiatives.
• Established ability to manage a robust and diverse pipeline of expansion opportunities, balancing near-term wins with long-term strategic growth within a collaborative go-to-market team.
• 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
• Strong communication skills: Clearly and objectively communicate observations from the field
• Previous history of also working and closing new business deals and selling through product led experience 

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.

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.

The Opportunity: 

We're looking for a driven Enterprise Expansion Account Executive to own and grow revenue within Arize's existing customer base. You'll work with AI engineers, Data Scientists, and platform teams who are already using our Enterprise platform - helping them unlock more value, expand into new teams, and deepen their investment as their AI initiatives scale. This is a high-impact, high-ownership role at the intersection of a fast-moving product and a customer base growing rapidly alongside the AI industry.

What You’ll Do:

• Own the full expansion and renewal sales cycle across your book of business, executing a complex, value-based process that spans multiple stakeholders, teams, and use cases within each account.
• Proactively identify and develop new growth opportunities by analyzing customer usage, mapping whitespace, and targeting high-value needs across business lines and technical teams.
• Build and maintain executive relationships, creating awareness and buy-in at the VP and C-suite level to support pipeline growth and long-term account expansion.
• Define and execute account strategies in close partnership with Solutions Managers and internal account teams to drive sales velocity and deliver customer outcomes.
• Clearly articulate Arize's unique value - technically and commercially - tailoring your message to both technical practitioners and business decision-makers.
• Forecast accurately and consistently, leveraging key metrics and pipeline data to provide visibility and inform go-to-market decisions.
• Maintain rigorous hygiene in Salesforce, tracking all activity, opportunities, and account intelligence to support a high-performing revenue team.
• Travel as needed to build relationships and engage customers on-site.

What We’re Looking For:

• 5+ years of B2B SaaS sales experience
• Proven track record of driving expansion and upsell revenue within Enterprise accounts, bonus for selling AI/ML or data infrastructure software to VP and C-suite stakeholders.
• Demonstrated success building and deepening executive relationships across Global 2000 organizations, engaging both technical leaders (AI/ML, data engineering, platform) and business decision-makers.
• Expertise in developing multi-year account plans that expand Arize's footprint by aligning product value to evolving customer needs and AI initiatives.
• Established ability to manage a robust and diverse pipeline of expansion opportunities, balancing near-term wins with long-term strategic growth within a collaborative go-to-market team.
• 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
• Strong communication skills: Clearly and objectively communicate observations from the field
• Previous history of also working and closing new business deals and selling through product led experience 

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.

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.

The Team

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. 

We are looking for a fast-paced Sales Development Representative (SDR) with an entrepreneurial mindset to find new customers and opportunities. You’ll be searching for business while being an engaged member of the AI/ML community. You will prospect, qualify, and generate opportunities to support the overall growth of the business. 

What You’ll Do

• Research and map prospective new accounts for strategic outreach
• Cold call and email prospective customers 
• Utilize lead generation tools such as LinkedIn Sales Navigator, Outreach, ZoomInfo, Dux-Soup, and Salesforce 
• Partner with Account Executives to generate leads
• Develop, present and implement plans for acquiring new business and traction in your assigned area

What We’re Looking For

• Motivated by a career in sales
• Interested in the tech space
• A self starter, focused, dynamic, and eager to learn
• Someone who has excellent written & verbal communication skills 

Bonus Points, But Not Required

• Previous selling experience 

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 unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

The Opportunity

As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’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, we are prioritizing candidates based in London as this role will work directly with our customers' in the EMEA region.

The Team

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. 

As part of our Solutions team, your work will directly contribute to our customers’ 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’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’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies.

What You’ll Do

• 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.
• Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions.
• Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices.
• Run workshops and training sessions with customers during onboarding and new functionality
• Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships.
• Proactively monitor product usage across your accounts to further gauge account health
• Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies.
• Effectively relay customer feature requests to internal teams and advocate for customer needs.
• Ensure support teams are aligned with customer requests and priorities.

What We’re Looking For

• 3+ years of experience as a Customer Success Manager in SaaS.
• A self-starter mindset with the ability to thrive in limited process environments.
• Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively.
• Strong communication skills for articulating observations and fostering collaboration across teams.
• Proven ability to demo technical products and translate their value into tailored customer solutions.
• Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results.
• A strong team player who values collaboration and collective success.
• Bonus: Familiarity with AI/ML workflows or GenAI technologies.

The estimated annual salary and variable compensation for this role 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.

The Opportunity

As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’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, we are prioritizing candidates based in Singapore as this role will work directly with our customers' in the APJ region.

The Team

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. 

As part of our Solutions team, your work will directly contribute to our customers’ 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’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’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies.

What You’ll Do

• 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.
• Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions.
• Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices.
• Run workshops and training sessions with customers during onboarding and new functionality
• Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships.
• Proactively monitor product usage across your accounts to further gauge account health
• Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies.
• Effectively relay customer feature requests to internal teams and advocate for customer needs.
• Ensure support teams are aligned with customer requests and priorities.

What We’re Looking For

• 3+ years of experience as a Customer Success Manager in SaaS.
• A self-starter mindset with the ability to thrive in limited process environments.
• Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively.
• Strong communication skills for articulating observations and fostering collaboration across teams.
• Proven ability to demo technical products and translate their value into tailored customer solutions.
• Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results.
• A strong team player who values collaboration and collective success.
• Bonus: Familiarity with AI/ML workflows or GenAI technologies.

The estimated annual salary and variable compensation for this role 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.

The Opportunity

As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our SMB and Mid-Market 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.

The Team

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. 

As an AI Solutions Manager, your work will directly contribute to our customers’ 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 SMB and Mid-Market customers. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and ensuring your customers are getting value out of the partnership by running effective workshops and enablement sessions, and working with the Solutions Engineering team on complex implementations. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies.

What You’ll Do

• Build and deepen relationships with AI/ML practitioners and executives to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. 
• Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions.
• Collaborate with technical teams, including Solutions Engineering and Application Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices.
• Run workshops and training sessions with customers during onboarding. 
• Run business reviews to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships.
• Proactively identify and develop new growth opportunities by analyzing customer usage and targeting high-value needs across your customer base.
• Own the full expansion and renewal sales cycle across your book of business. 
• Maintain rigorous hygiene in CRM and internal tooling to support a high-performing revenue team.

What We’re Looking For

• 2+ years of experience as a Customer Success Manager in SaaS.
• Proven track record of driving expansion and upsell revenue within SMB and Mid-Market accounts, bonus for selling AI/ML or data infrastructure software to VP and C-suite stakeholders.
• A self-starter and customer-first mindset with the ability to thrive in limited process environments.
• Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively.
• Strong communication skills for articulating observations and fostering collaboration across teams.
• Proven ability to demo technical products and translate their value into tailored customer solutions.
• A strong team player who values collaboration and collective success.
• Bonus: Familiarity with AI/ML workflows or GenAI technologies.

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.

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.

The Team

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. 

We are looking for a fast-paced, client-obsessed Account Executive with an entrepreneurial mindset to find, win and grow new customers. You’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’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’ll be involved in exciting and complex sales cycles and leverage your business acumen to navigate the intricacies. 

What You’ll Do

• Be a networker, seller and closer
• Build relationships with AI/ML stakeholders and be an active member of the community
• Conduct discovery with prospects and share the Arize vision
• Run a sophisticated prospecting strategy to “get the word out” and find deals
• Create sales plays, write talk tracks and strategically identify new business opportunities 
• Deeply research accounts, stakeholders and competitors
• Manage proof of concepts, drive adoption and grow accounts
• Manage and navigate internal / external stakeholders to ensure success
• Understand use cases, scope licensing and find more workloads
• BANT or MEDDIC methodology preferred

What We’re Looking For

• 5+ years SaaS sales experience: Hungry, aggressive and motivated 
• Familiarity or willingness to learn sales technologies to find and attract prospects
• Self-starter and comfortable working in limited process environments
• Full-cycle sales experience and ability to navigate the complexities of enterprise deals
• Fast-paced and focused on helping prospects / customers
• 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
• Strong communication skills: Clearly and objectively communicate observations from the field

Bonus Points, But Not Required

• Previous selling experience in
• Software Engineering
• Data Science
• Machine Learning

The estimated annual salary and variable compensation for this role is between $160,000 - $225,000, 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.

The Team

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. 

We are looking for a fast-paced, client-obsessed Account Executive with an entrepreneurial mindset to find, win and grow new customers. You’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’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’ll be involved in exciting and complex sales cycles and leverage your business acumen to navigate the intricacies. 

What You’ll Do

• Be a networker, seller and closer
• Build relationships with AI/ML stakeholders and be an active member of the community
• Conduct discovery with prospects and share the Arize vision
• Run a sophisticated prospecting strategy to “get the word out” and find deals
• Create sales plays, write talk tracks and strategically identify new business opportunities 
• Deeply research accounts, stakeholders and competitors
• Manage proof of concepts, drive adoption and grow accounts
• Manage and navigate internal / external stakeholders to ensure success
• Understand use cases, scope licensing and find more workloads
• BANT or MEDDIC methodology preferred

What We’re Looking For

• 5+ years SaaS sales experience: Hungry, aggressive and motivated 
• Familiarity or willingness to learn sales technologies to find and attract prospects
• Self-starter and comfortable working in limited process environments
• Full-cycle sales experience and ability to navigate the complexities of enterprise deals
• Fast-paced and focused on helping prospects / customers
• 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
• Strong communication skills: Clearly and objectively communicate observations from the field

Bonus Points, But Not Required

• Previous selling experience in
• Software Engineering
• Data Science
• Machine Learning

The estimated annual salary and variable compensation for this role is between $160,000 - $225,000, 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.

About Arize AI

At Arize AI, we’re building the category-defining platform for AI observability, evaluation, and reliability.

AI is moving fast, but most teams are still flying blind once their agents hit production. We help teams understand how their agents behave, evaluate performance, and improve over time.

Our mission is simple: build the feedback loop that helps teams ship agents that actually work in the real world.

The Role

We’re looking for someone who thinks like a marketer and acts like a journalist to bring clarity to how modern AI systems are built and improved. This is a technical content role. You’ll work directly with engineers, researchers, and product teams to understand how AI systems actually work. Then, you’ll turn that into content that helps other engineers build, evaluate, and ship with confidence.

This role isn’t about summarizing ideas. It’s about extracting real workflows, pressure-testing them, and publishing content that’s immediately useful. You should already have a strong technical foundation. You’ll be expected to engage deeply with topics like evaluation, observability, agents, and LLM systems — and translate them without losing precision.

You’ll operate as both a strategist and a high-output individual contributor in a role where what you create ships quickly and gets used.

What You’ll Do

Write Technical Content That Engineers Actually Use

• Produce high-quality technical content: deep dives, guides, tutorials, and system-level explainers
• Break down complex topics (evals, agents, observability, prompt iteration) into clear, actionable workflows
• Focus on content that helps developers do something, not just understand something

Interview and Partner with Subject Matter Experts

• Work directly with engineers, researchers, and customers to extract insights and real-world workflows
• Ask strong technical questions and push for clarity where things are vague
• Turn conversations into structured, high-signal content

Define Content Strategy (and Execute It)

• Identify gaps in what developers are struggling with
• Prioritize and ship content that addresses those gaps
• Balance long-term narrative with immediate, high-impact output

Be an AI Native 

• Use AI tools to accelerate writing, editing, and research
• Build systems that increase content velocity without lowering quality
• Treat content as a compounding system, not a one-off deliverable

Work Cross Functionally

• Partner with Product, DevRel, and Marketing to ensure accuracy and relevance
• Align content with what’s actually shipping
• Contribute to how Arize explains AI engineering as a discipline

What We’re Looking For

Technical Background

You must be comfortable writing about: 

• Software engineering
• AI/LLM application development
• Developer workflows 

This is not a role for someone learning the space from the outside.

Content & Communication

• Strong writing and editing skills — you can explain complex systems clearly without oversimplifying
• Experience creating technical content (blogs, guides, docs, or similar)
• Ability to interview SMEs and turn conversations into structured, useful content 

Operator Mindset

• You can think strategically and execute tactically
• You ship consistently and take ownership of output
• You’re comfortable working in a fast-moving, high-ownership environment

AI-Native Workflow

• You actively use AI tools in your day-to-day work
• You think in terms of leverage, iteration, and systems
• You’re interested in how AI changes how content gets created

Nice to Have

• Experience building or working with LLM-based systems (RAG, agents, eval frameworks)
• Experience writing tutorials or developer documentation
• Background spanning both technical work and editorial/journalism

Why This Role Matters

AI systems are getting more complex, and harder to reason about.

The limiting factor for most teams isn’t access to models. It’s understanding:

• what to evaluate
• how systems fail
• how to improve them

Your job is to make that legible for engineers who are actively building.

Why Arize

• • Work at the center of the AI engineering ecosystem
  • Help define how AI systems are evaluated and improved
  • Build content that reaches and helps real practitioners
  • High ownership, fast iteration, and direct impact

Salary Range $160,000-$190,000 plus a generous equity package depending on experience

At Arize AI, we’re building the category-defining platform for AI observability, evaluation, and reliability. Our mission is to help teams build AI systems that actually work in the real world.

As AI adoption explodes, the community of builders—ML engineers, AI engineers, researchers, and developers—needs spaces to learn, connect, and collaborate.

That’s where you come in.

We’re looking for an Events Manager to own and scale the Arize event experience—from flagship conferences like Observe to high-impact community and brand experiences across the Bay Area and beyond.

This role is perfect for someone who thrives at the intersection of operations, creativity, and community building.

What You’ll Do

Lead Arize’s Event Strategy

• Plan and execute Arize’s flagship events, including Observe, our AI engineering conference.
  
  
• Own the full lifecycle of corporate and branded events—from concept to execution to post-event analysis.
  
  

Build Memorable Brand Experiences

• Design and run brand experience events across the Bay Area.
  
  
• Create experiences that resonate with AI engineers, developers, and technical leaders.
  
  

Execute High-Impact Events

• Manage event logistics including venue selection, vendors, budgets, timelines, and operations.
  
  
• Partner closely with marketing, developer relations, product, and leadership teams.
  
  
• Ensure events are executed seamlessly and at a high bar of quality.
  
  

Grow the AI Community

• Help build the Arize community through meetups, developer events, and workshops.
  
  
• Develop programming that engages AI builders
  
  

Measure and Improve

• Track event performance and outcomes.
  
  
• Use data and feedback to continuously improve the Arize event experience.
  
  

What We’re Looking For

• 7+ years of experience in event management, experiential marketing, or community events.
  
  
• Proven experience planning corporate, conference, or large-scale events.
  
  
• Experience building events for developers, AI audiences, or technical communities.
  
  
• Exceptional organizational and project management skills.
  
  
• A world-class communicator who can collaborate across teams and stakeholders.
  
  
• A creative and out-of-the-box thinker who can design memorable brand experiences.
  
  
• Ability to manage multiple events and timelines simultaneously.
  
  
• Based in the San Francisco Bay Area.
  
  

Bonus Points

• Experience running developer conferences or meetups.
  
  
• Background in AI, ML, data, or developer ecosystems.
  
  
• Experience managing sponsors, speakers, and technical programming.
  
  
• Startup or high-growth company experience.
  
  

Why Arize

• Work at the center of the AI engineering ecosystem.
  
  
• Help shape events that bring together the best AI builders in the world.
  
  
• Build experiences that define the AI observability category.
  
  

Salary Range $160,000-$190,000 plus a generous equity package depending on experience

About Arize AI

AI is moving fast — but most teams are still flying blind once their models hit production. Arize builds the infrastructure that changes that: observability, evaluation, and iteration tools that give AI engineers real visibility into what their systems are actually doing.

We’re backed by $131M in funding — including the largest Series C ever raised in AI observability — with investors like Datadog, PagerDuty, and M12 (Microsoft’s venture fund). Our customers include Uber, Wayfair, and Tripadvisor. And Phoenix, our open-source observability tool, has become the go-to starting point for serious AI engineering teams worldwide.

We’re building the category. Now we need someone to help our customers tell that story.

The Role

Customer marketing at Arize isn’t a relationship management job — it’s a growth function. You’ll work directly with some of the most sophisticated AI engineering teams in the world, turning their wins into content, their voices into pipeline, and their communities into a compounding advantage for Arize.

You’ll sit at the intersection of product, sales, and customer success — owning the programs that help customers get more value from Arize while helping Arize grow through the customers we already have. That means building content, running programs, sourcing speakers, and creating campaigns — all with a technical audience in mind.

This is a high-visibility, high-ownership role on a lean team where what you build actually ships.

What You’ll Do

Customer Content & Storytelling

• Produce high-impact, customer-driven content across formats — video case studies, written success stories, social proof, and customer spotlights.
• Interview customers and translate technical wins into narratives that resonate with AI engineers and executive buyers alike.
• Build a library of proof points that sales, demand gen, and product can pull from.

Customer Reference Program

• Own and scale Arize’s customer reference program end-to-end — identifying advocates, managing relationships, and matching the right reference to the right opportunity.
• Partner with Sales to ensure reference coverage across segments, use cases, and industries.

Events & Speaker Sourcing

• Secure and prepare customer speakers for Arize events, webinars, conferences, and developer workshops.
• Support customer-facing events including meetups, workshops, and roundtables — from logistics to content.

Community & Advisory Programs

• Build and run programs like the Customer Advisory Board and power user groups that create tight feedback loops between customers and our product and GTM teams.
• Partner with Customer Success to amplify educational resources, best practices, and product adoption milestones.

Expansion & Adoption Campaigns

• Develop and execute campaigns that drive product adoption, increase engagement, and create upsell and expansion opportunities.
• Work cross-functionally with CS, Sales, and Product to identify expansion signals and turn them into pipeline.

What We’re Looking For

• 5+ years of experience in customer marketing, product marketing, or a closely related field — ideally at a developer tools, data infrastructure, or AI/ML company.
• Proven ability to identify customer stories and turn them into compelling content — you know how to find the narrative in a technical win.
• Experience running reference or advocacy programs and building scalable processes around them.
• Strong cross-functional collaborator — you’ve worked closely with Sales and Customer Success and understand how to support pipeline goals without losing the customer-first lens.
• Excellent written communication; comfortable writing for technical audiences without losing the thread for business stakeholders.
• Event and program management experience — you can run a webinar, coordinate a roundtable, and manage a speaker from ask to stage.
• Actively using AI in your day-to-day work — not just aware of it. You’re experimenting with AI tools to move faster, think more creatively, and do work that would have taken a team to do solo.

Nice to Have

• Background in or strong familiarity with AI/ML, LLMs, or data infrastructure.
• Experience with developer communities or open-source ecosystems.
• Familiarity with tools like Salesforce, HubSpot, or similar CRM/marketing automation platforms.
• Previous experience building CAB programs or structured executive engagement programs.

Why Arize

• We’re defining a category — and growing fast in it.
• Your work will have a direct impact on revenue, product, and community.
• You’ll work alongside some of the sharpest minds in AI infrastructure.
• Competitive salary, equity, and benefits.
• Hybrid work out of our San Francisco office.

Salary range $140,000-$175,000 dependent on experience

The Opportunity

We're hiring a Partner Product & Solutions Lead to serve as the technical face of Arize across our hyperscaler and technology partnerships — and to architect the joint solutions, integrations, and content that turn those partnerships into real customer outcomes. This is a high-leverage role in our partnerships org and you'll set the bar for how Arize shows up in the AI ecosystem.

This is part relationship manager, part product strategist, part DevRel leader. You'll build deep relationships with product and solutions leaders at AWS, Google Cloud, Microsoft Azure, Databricks, NVIDIA, Anthropic, CrewAI, Vercel and the next wave of category-defining AI companies. You'll work shoulder-to-shoulder with Arize Product and Engineering to ship integrations that unlock new product-led growth motions. And you'll be the public voice of those joint solutions - on stage at re:Invent and Google NEXT, in cookbooks and blog posts, and in the rooms where partner field teams decide which vendor to recommend.

What You’ll Do

Be the technical face of Arize partnerships

• Serve as field CTO and public advocate for our hyperscaler and ISV partnerships - the person product, solutions, and field leaders at our partners call when they need a thought partner on AI observability, evals, and the agentic stack.
• Develop trusted, multi-threaded relationships with product and solutions leadership at AWS, Google Cloud, Azure, Databricks, NVIDIA, CrewAI, Zapier, and emerging ecosystem partners.

Drive the joint product and integration roadmap

• Define Arize's integration roadmap with the leaders of the AI ecosystem — agent frameworks, model platforms, data platforms, and orchestration layers.
• Work cross-functionally with Arize Product and Engineering to scope, prioritize, and ship integrations that create unique product-led growth opportunities 
• Partner with our Solutions Architecture team to deliver reference architectures, "better together" designs, and production-ready joint deployments.

Create the content that makes "better together" real

• Author cookbooks, sample repos, blogs, technical videos, and podcasts that demonstrate end-to-end customer outcomes using Arize alongside partner products.
• Drive partner-hosted content and develop sharp, opinionated points of view on how customers should architect agentic and LLM systems using the joint solution stack, and translate those POVs into clear use cases and measurable outcomes.

Enable and activate partner field teams

• Train partner SAs, sellers, and CSEs on how to position Arize and recommend it inside customer engagements.
• Run technical workshops, deep-dive enablement sessions, and joint POCs that turn awareness into active co-sell motion.

Drive measurable ecosystem revenue and awareness

• Source and accelerate co-sell pipeline through hyperscaler marketplace listings, partner-led POCs, and joint customer engagements.
• Deliver unique presence at flagship partner events, cultivating brand and partner awareness 

Who You Are

• 5+ years in technical, customer-, or partner-facing roles — Solutions Architect, Sales Engineer, Forward Deployed Engineer, Applied AI Engineer, DevRel Lead, Principal Architect, or Field CTO. Experience leading partner-facing technical work at a high-growth AI or infrastructure company is strongly preferred.
• Deep technical fluency in modern AI: LLMs, RAG, agents, evals, observability, and orchestration frameworks (LangChain, AgentCore, CrewAI, ADK, Azure Foundry, etc.) — plus the production stack required to run them at scale.
• Strong Python skills and hands-on experience building and deploying on at least one major cloud (AWS, GCP, Azure). You can write the cookbook, not just commission it.
• Proven partnership operator: track record of building 1:1 relationships with product and solutions leaders at large strategic partners — and turning those relationships into shipped integrations, joint marketing moments, and co-sell revenue.
• Excellent communicator and natural public advocate: you're comfortable on stage at re:Invent or GTC, on a podcast, on a customer architecture review, and in a Slack DM with a partner PM.
• Cross-functional operator who thrives in ambiguity — comfortable navigating between Arize Product, Engineering, Sales, Marketing, and DevRel to land joint solutions.
• Startup DNA: bias to action, willing to build and experiment with AI first, comfortable building from zero, motivated by ownership of measurable outcomes.

Bonus Points

• Prior experience as a Principal SA, or DevRel lead at an AI/ML infrastructure or developer tools company.
• Existing relationships with hyperscaler partner organizations (AWS, GCP, Azure) and major AI ISVs (Databricks, NVIDIA, etc.).
• Experience with marketplace co-sell motions and hyperscaler partner programs (AWS APN, Google Cloud Partner Advantage, Microsoft AI Cloud Partner Program).
• Hands-on experience with Arize, Phoenix, or comparable AI observability and evals tooling. 
• Open source contributions, especially in the AI tooling, observability, or agent framework ecosystem. Experience with OpenTelemetry is a big plus.
• Experience taking generative AI or agent-based systems from prototype to production.

The estimated annual salary and variable compensation for this role is between $150,000 - $220,000, 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.

VP of Revenue Operations 

About Arize: 

AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & 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—so teams can ship faster with confidence.

We’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.

About the role: 

Arize is seeking a strategic and operationally excellent Revenue Operations Leader to serve as the operational backbone of our go-to-market (GTM) organization. In this critical role, you'll align and optimize Sales, Marketing, Customer Success, and Partnerships functions to drive predictable, scalable revenue growth. This is a hands-on leader who will establish systems, processes, data infrastructure, and operational cadence that enable our teams to execute with precision and visibility.

You will report directly to the President and work closely with the Sales, Marketing, Customer Success, and Partnerships leaderships to be the glue between departments, driving operational efficiency, and creating a data driven revenue culture across the entire organization.

Key Responsibilities

1. Strategic Alignment & GTM Operations: Establish unified revenue goals and KPIs across Sales, Marketing, Customer Success, and Partnerships aligned to company objectives. Drive alignment through annual & quarterly planning, business reviews, and operating cadences (monthly metrics, weekly reviews) that connect leadership around shared outcomes. Define end-to-end customer lifecycle strategy with formalized handoffs (lead routing, customer transitions, partner escalation) and SLAs to ensure seamless execution and accountability.

1. Process Optimization & Operational Excellence: Own and optimize end-to-end revenue operations across all go-to-market motions (open-source, self-serve, and enterprise). Drive sales operations excellence through territory planning, lead management, process standardization, sales enablement, sales compensation design and forecast accuracy. Collaborate with Marketing on lead quality standards, attribution frameworks, and automation workflows, while enhancing Customer Success operations through health scoring, onboarding optimization, and expansion playbooks to accelerate revenue velocity across the entire customer lifecycle.

1. Technology, Data & Analytics Infrastructure: Own the complete revenue technology ecosystem (CRM, marketing automation, customer success platforms, revenue intelligence, BI tools). Build and maintain data infrastructure ensuring a single source of truth across all systems. Deliver executive-level dashboards providing real-time visibility into pipeline health, forecast accuracy, funnel conversion, and revenue performance. Drive data integrity, governance, and standardization while leveraging analytics to surface strategic insights and optimization opportunities.

1. Revenue Forecasting & Capacity Planning: Own revenue forecasting methodology and delivery of accurate pipeline predictions. Partner with Finance on ARR planning, quota setting, and capacity modeling. Provide executive leadership with ARR outlook through rigorous pipeline analysis, historical trend modeling, and scenario planning. 

1. Cross Functional Leadership & Culture: Drive organizational transformation toward a unified, data-driven revenue culture by leading change management initiatives that break down silos and establish shared accountability. Build trusted partnerships with Sales, Marketing, Customer Success, and Partnerships leadership while mentoring the RevOps team to develop cross-functional expertise. Align teams around evidence-based decision-making and common revenue objectives.

Required Qualifications

Core Experience 

• 10+ years of progressive experience in revenue operations, business operations, sales operations, or marketing operations roles within B2B SaaS companies, OR equivalent experience scaling go-to-market functions in high-growth environments or management consulting

Functional Expertise 

• Demonstrated success scaling RevOps functions in high-growth B2B SaaS companies (preferably $25M-$100M+ ARR) with deep expertise in revenue forecasting, territory & capacity planning, quota setting, pipeline management, and sales methodology
• Strong background in data analysis and business intelligence, with proven ability to design and build dashboards, define KPIs, and derive actionable insights from complex datasets
• Hands-on expertise with core RevOps technology stacks: CRM platforms (Salesforce preferred), marketing automation (HubSpot, Marketo, or equivalent), customer success platforms, revenue intelligence tools, and BI/analytics platforms (Tableau, Looker, or equivalent)

Leadership & Execution

• Proven track record of driving cross-functional alignment, influencing without direct authority, and leading organizational change in matrixed environments
• Excellent project management skills: ability to manage multiple initiatives simultaneously, prioritize effectively, and drive execution across teams with accountability for results
• Outstanding communication and storytelling ability—capable of translating complex data and RevOps concepts into clear narratives for operational teams and executive leadership
• Strategic thinking combined with operational rigor: balancing long-term vision with hands-on problem-solving and a bias toward action

What You’ll Bring

• A bias toward clarity: you establish unambiguous definitions, standardized processes, and transparent metrics that cut through organizational confusion
• A systems mindset: you see revenue operations as an integrated whole, not siloed functions; you optimize for enterprise outcomes, not departmental wins
• Credibility with operators: you’ve built and scaled RevOps functions; you speak the language of sales, marketing, and CS leaders
• Change leadership capability: you can articulate the “why” behind process changes, build coalition support, and drive adoption even when change is uncomfortable
• An analytical edge: you make decisions based on evidence; you can tell stories with data that move executives to action

Salary Range for this role will be $250,000-$350,000 total compensation dependent on experience

MUST be located in SF Bay area

The Team

Our On-Prem engineering team is responsible for the deployment of Arize in customer environments. In addition to working with customers in defining infrastructure requirements, the team designs and develops software and tooling that enables the management of these systems at large scale. The On-Prem team has grown to be expert in Kubernetes and cloud deployment on GCP, Azure, and AWS as well as dealing with networking and security aspects of on-premise deployments. The team is dynamic and relies on few talented individuals with a high degree of autonomy and initiative. For this role, we are prioritizing candidates who are based in Buenos Aires, Argentina.

What You’ll Do

• Serve as the first point of contact for on-prem customer issues, triaging and resolving infrastructure and platform support requests
• Monitor customer’s platform health using existing observability tools
• Investigate and troubleshoot Kubernetes-based deployments to identify root causes, apply fixes, and escalate when needed
• Work hands-on with self-hosted environments to diagnose configuration, networking, and performance issues
• Document common issues and resolutions to build out internal runbooks and knowledge base

• 3+ years of experience in a DevOps, Infrastructure, or technical support role
• Basic working knowledge of Kubernetes — comfortable reading logs, describing resources, and understanding pod/service behavior
• Familiarity with at least one major cloud provider (AWS, GCP, or Azure)
• Strong troubleshooting instincts and ability to systematically diagnose issues
• Strong written and verbal communication skills in English
• Eagerness to learn in a fast-paced environment with a high degree of autonomy

What will set you apart:

• Experience working with or supporting enterprise customers
• Familiarity with Helm charts and how they're used to manage Kubernetes deployments
• Experience with networking concepts like DNS, TLS, proxies, or firewalls

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 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.

The Team

Our On-Prem engineering team is responsible for the deployment of Arize in customer environments. In addition to working with customers in defining infrastructure requirements, the team designs and develops software and tooling that enables the management of these systems at large scale. The On-Prem team has grown to be expert in Kubernetes and cloud deployment on GCP, Azure, and AWS as well as dealing with networking and security aspects of on-premise deployments. The team is dynamic and relies on few talented individuals with a high degree of autonomy and initiative. As this role will work with our APJ accounts, we are prioritizing candidates who are based in Singapore.

What You’ll Do

• Work hands-on with the infrastructure that supports our distributed & highly scalable services in both SaaS and on-prem offerings
• Gather requirements from customers and adapt manifests and software to support new environments
• Use and augment monitoring tools to observe platform health, ensure performance and reliability
• Interact with the product team to test new features and package new on-prem releases
• Automate and optimize the release pipeline to make it as frictionless as possible
• Exhibit continuous curiosity for emerging technology that could solve our challenges

• 3+ years of experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer or similar
• Excellent communication skills and ability to work directly with customers to understand and address their infrastructure needs
• Experience and fluency in Kubernetes
• A self starter with an ability to thrived in a fast paced environment
• Experience working with multiple cloud providers (AWS, GCP, Azure) and understanding how to adapt cloud-native architectures for on-premises environments
• Strong troubleshooting skills

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 unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

The Team

Our On-Prem engineering team is responsible for the deployment of Arize in customer environments. In addition to working with customers in defining infrastructure requirements, the team designs and develops software and tooling that enables the management of these systems at large scale. The On-Prem team has grown to be expert in Kubernetes and cloud deployment on GCP, Azure, and AWS as well as dealing with networking and security aspects of on-premise deployments. The team is dynamic and relies on few talented individuals with a high degree of autonomy and initiative. As this role will work with our APJ accounts, we are prioritizing candidates who are based in South Korea.

What You’ll Do

• Work hands-on with the infrastructure that supports our distributed & highly scalable services in both SaaS and on-prem offerings
• Gather requirements from customers and adapt manifests and software to support new environments
• Use and augment monitoring tools to observe platform health, ensure performance and reliability
• Interact with the product team to test new features and package new on-prem releases
• Automate and optimize the release pipeline to make it as frictionless as possible
• Exhibit continuous curiosity for emerging technology that could solve our challenges

• 3+ years of experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer or similar
• Excellent communication skills and ability to work directly with customers to understand and address their infrastructure needs
• Experience and fluency in Kubernetes
• A self starter with an ability to thrived in a fast paced environment
• Experience working with multiple cloud providers (AWS, GCP, Azure) and understanding how to adapt cloud-native architectures for on-premises environments
• Strong troubleshooting skills

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 unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

The Team

Our On-Prem engineering team is responsible for the deployment of Arize in customer environments. In addition to working with customers in defining infrastructure requirements, the team designs and develops software and tooling that enables the management of these systems at large scale. The On-Prem team has grown to be expert in Kubernetes and cloud deployment on GCP, Azure, and AWS as well as dealing with networking and security aspects of on-premise deployments. The team is dynamic and relies on few talented individuals with a high degree of autonomy and initiative. As this role will work with our APJ accounts, we are prioritizing candidates who are based in Malaysia.

What You’ll Do

• Work hands-on with the infrastructure that supports our distributed & highly scalable services in both SaaS and on-prem offerings
• Gather requirements from customers and adapt manifests and software to support new environments
• Use and augment monitoring tools to observe platform health, ensure performance and reliability
• Interact with the product team to test new features and package new on-prem releases
• Automate and optimize the release pipeline to make it as frictionless as possible
• Exhibit continuous curiosity for emerging technology that could solve our challenges

• 3+ years of experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer or similar
• Excellent communication skills and ability to work directly with customers to understand and address their infrastructure needs
• Experience and fluency in Kubernetes
• A self starter with an ability to thrived in a fast paced environment
• Experience working with multiple cloud providers (AWS, GCP, Azure) and understanding how to adapt cloud-native architectures for on-premises environments
• Strong troubleshooting skills

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 unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

The Team

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. 

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’ll be the trusted technical advisors for our customers, driving business value, offering advice, and growing accounts. You’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.

What You’ll Do

• Work closely with some of the most sophisticated ML / GenAI teams in the world.
  • You will act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders.
• Advise on GenAI and ML best practices 
• Give ML and LLM product demos to technical and business stakeholders
• Run strategic business reviews for customers in partnership with our sales team
• Interface with our pre-sales engineering team to gather client goals and KPI’s.
• Partner with our product and engineering teams to help drive the product roadmap
• Spearhead new opportunities within existing accounts to help drive expansions.

What We’re Looking For

Note: Even if you do not check every single box, we still encourage you to apply! 

• Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production.
• Comfortable working in public Cloud environments (AWS, Azure, GCP)
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
• Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
• 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
• Understanding of GenAI concepts and application evaluation + development lifecycle  
• Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
• Strong Communication Skills - Ability to simplify complex, technical concepts.
• 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.

Bonus Points, But Not Required

• Previous engineering experience in:
  • Data Science
  • MLOps
  • ML Frameworks
  • LLM / Agentic frameworks
• Customer facing experience strongly preferred such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles
• Prior experience working with applications deployed with Kubernetes
• Prior experience demoing technical products to both business and technical audiences

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.

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.

This role requires the right candidate to be based in Raleigh, New York City, or San Francisco

The Team

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. 

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’ll be the trusted technical advisors for our customers, driving business value, offering advice, and growing accounts. You’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.

What You’ll Do

• Work closely with some of the most sophisticated ML / GenAI teams in the world.
  • You will act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders.
• Advise on GenAI and ML best practices 
• Give ML and LLM product demos to technical and business stakeholders
• Run strategic business reviews for customers in partnership with our sales team
• Interface with our pre-sales engineering team to gather client goals and KPI’s.
• Partner with our product and engineering teams to help drive the product roadmap
• Spearhead new opportunities within existing accounts to help drive expansions.

What We’re Looking For

Note: Even if you do not check every single box, we still encourage you to apply! 

• Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production.
• Comfortable working in public Cloud environments (AWS, Azure, GCP)
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
• Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
• 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
• Understanding of GenAI concepts and application evaluation + development lifecycle  
• Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
• Strong Communication Skills - Ability to simplify complex, technical concepts.
• 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.

Bonus Points, But Not Required

• Previous engineering experience in:
  • Data Science
  • MLOps
  • ML Frameworks
  • LLM / Agentic frameworks
• Customer facing experience strongly preferred such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles
• Prior experience working with applications deployed with Kubernetes
• Prior experience demoing technical products to both business and technical audiences

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.

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.

The Team

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. We are looking for an AI Sales Engineer (Solutions Architect) to join the good fight and get this product in the hands of every AI/ML organization.

You'll work side-by-side with our Account Executives to articulate the Arize value and overall strategy to differentiate the platform throughout the sales process and drive POCs from requirements gathering to close. The activities performed by an AI Sales Engineer are diverse - one day you might be assisting with a high-level pitch of Arize to a CDO, and the next day you might be working hands-on to develop a small proof of concept.

What You’ll Do

You are the trusted advisor to the customer:

• Partner with our account executives to articulate the overall Arize value proposition, vision, and strategy to customers
• Work closely with some of the most sophisticated GenAI teams in the world.
• You will act as a trusted advisor to our prospective customers, while also building relationships with technical and business stakeholders.
• Lead product demonstrations of the Arize platform
• Advise on GenAI and ML best practices 
• Lead discovery to understand prospect’s GenAI tech stack to collaborate with the Sales team to construct a compelling value proposition of the Arize Platform
• Lead Proof of Concept (PoC) motions with prospective buyers
• Handle technical objections and develop strategies across sales, engineering, and product to unblock them 

What We’re Looking For

Note: Even if you do not check every single box, we still encourage you to apply! 

• 3+ years of experience in a customer-facing role such as sales engineer, solutions engineer, or forward deployed engineer
• Strong communication skills: Ability to simplify complex, technical concepts
• Proficiency in Python / Typescript
• Knowledge of LLM / Agentic frameworks such as OpenAI Agents SDK, Google ADK, LangGraph, and DSPy
• Understanding of GenAI concepts and application evaluation + development lifecycle 
• A quick and self learner - undaunted by technical complexity of production AI deployments and welcome the challenge to learn about them and develop your own POV.

Bonus Points, But Not Required

• 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.

The Team

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. We are looking for an AI Sales Engineer (Solutions Architect) to join the good fight and get this product in the hands of every AI/ML organization.

You'll work side-by-side with our Account Executives to articulate the Arize value and overall strategy to differentiate the platform throughout the sales process and drive POCs from requirements gathering to close. The activities performed by an AI Sales Engineer are diverse - one day you might be assisting with a high-level pitch of Arize to a CDO, and the next day you might be working hands-on to develop a small proof of concept.

What You’ll Do

You are the trusted advisor to the customer:

• Partner with our account executives to articulate the overall Arize value proposition, vision, and strategy to customers
• Work closely with some of the most sophisticated GenAI teams in the world.
• You will act as a trusted advisor to our prospective customers, while also building relationships with technical and business stakeholders.
• Lead product demonstrations of the Arize platform
• Advise on GenAI and ML best practices 
• Lead discovery to understand prospect’s GenAI tech stack to collaborate with the Sales team to construct a compelling value proposition of the Arize Platform
• Lead Proof of Concept (PoC) motions with prospective buyers
• Handle technical objections and develop strategies across sales, engineering, and product to unblock them 

What We’re Looking For

Note: Even if you do not check every single box, we still encourage you to apply! 

• 3+ years of experience in a customer-facing role such as sales engineer, solutions engineer, or forward deployed engineer
• Strong communication skills: Ability to simplify complex, technical concepts
• Proficiency in Python / Typescript
• Knowledge of LLM / Agentic frameworks such as OpenAI Agents SDK, Google ADK, LangGraph, and DSPy
• Understanding of GenAI concepts and application evaluation + development lifecycle 
• A quick and self learner - undaunted by technical complexity of production AI deployments and welcome the challenge to learn about them and develop your own POV.

Bonus Points, But Not Required

• 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.

The Opportunity

AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.

Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production.

The Team

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. 

We are looking for a fast-paced, client-obsessed Account Executive with an entrepreneurial mindset to find, win and grow new customers. You’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’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’ll be involved in exciting and complex sales cycles and leverage your business acumen to navigate the intricacies. 

What You’ll Do

• Be a networker, seller and closer
• Build relationships with AI/ML stakeholders and be an active member of the community
• Conduct discovery with prospects and share the Arize vision
• Run a sophisticated prospecting strategy to “get the word out” and find deals
• Create sales plays, write talk tracks and strategically identify new business opportunities 
• Deeply research accounts, stakeholders and competitors
• Manage proof of concepts, drive adoption and grow accounts
• Manage and navigate internal / external stakeholders to ensure success
• Understand use cases, scope licensing and find more workloads
• BANT or MEDDIC methodology preferred

What We’re Looking For

• 5+ years enterprise SaaS sales experience: Hungry, aggressive and motivated 
• Familiarity or willingness to learn sales technologies to find and attract prospects
• Self-starter and comfortable working in limited process environments
• Full-cycle sales experience and ability to navigate the complexities of enterprise deals
• Fast-paced and focused on helping prospects / customers
• 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
• Strong communication skills: Clearly and objectively communicate observations from the field

Bonus Points, But Not Required

• Previous selling experience in
• Software Engineering
• Data Science
• Machine Learning

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.

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.

The Role

We're looking for a Design Engineer to build ambitious interfaces at the frontier of AI development, evaluation, and observability. You'll design, prototype, and ship experiences that help AI teams understand, troubleshoot, and improve the systems powering their next-generation applications.

Here's what makes this role different: Modern AI work is no longer purely human-driven. Arize Phoenix is a platform used by AI teams and AI agents such as Claude Code. You won't just craft great UX. You'll pioneer great AX (Agent Experience)—product surfaces that are delightful for people and interoperable, safe, and legible for agents.

What You’ll Work On

Product & Interface Design

• Design and build compelling product experiences for Arize Phoenix across UI-driven and programmatic workflows
• Create interactive visualizations for embeddings, traces, evaluation runs, and agent/tool workflows
• Develop reusable components and templates for our design system, from concept to production

Agent Experience (AX)

• Build Agent Experience primitives: interaction contracts, human-in-the-loop workflows, and agent-friendly UI surfaces
• Enable agents to query, navigate, trigger evaluations
• Shape the patterns that define how humans and AI agents collaborate within a shared workspace

Prototyping & Exploration

• Prototype new AI features and UI patterns for visualizing performance, surfacing anomalies, and explaining AI behavior—especially for multi-step agent systems
• Use AI-assisted UI generation to accelerate prototyping while maintaining craft, accessibility, and consistency
• Push the boundaries of what's possible when your users include both humans and machines
  

You Might Be a Great Fit If You 

• Have strong frontend engineering skills (React, TypeScript) paired with design sensibility
• Think deeply about interaction design, information architecture, and developer experience
• Are curious about AI systems and eager to learn how agents, evaluations, and observability work
• Enjoy prototyping quickly and iterating toward polish
• Care about accessibility, performance, and craft
• Thrive in open-source communities and async collaboration

Why Arize

Arize Phoenix is becoming the shared workspace where AI teams investigate issues and make decisions—while agents run evaluations, triage failures, and propose fixes alongside them. We're not just building tools for AI development. We're building the environment where humans and AI agents work together.

This is a rare opportunity to define the design language for a new category of product experience. If you're excited about designing for users that include both people and AI systems, we'd love to talk.

The estimated annual salary and variable compensation for this role is between $175,000 - $200,000, 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.

The Opportunity

AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.

Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production.

The Team

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. 

We are looking for a fast-paced, client-obsessed Account Executive with an entrepreneurial mindset to find, win and grow new customers. You’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’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’ll be involved in exciting and complex sales cycles and leverage your business acumen to navigate the intricacies. 

What You’ll Do

• Be a networker, seller and closer
• Build relationships with AI/ML stakeholders and be an active member of the community
• Conduct discovery with prospects and share the Arize vision
• Run a sophisticated prospecting strategy to “get the word out” and find deals
• Create sales plays, write talk tracks and strategically identify new business opportunities 
• Deeply research accounts, stakeholders and competitors
• Manage proof of concepts, drive adoption and grow accounts
• Manage and navigate internal / external stakeholders to ensure success
• Understand use cases, scope licensing and find more workloads
• BANT or MEDDIC methodology preferred

What We’re Looking For

• 5+ years enterprise SaaS sales experience: Hungry, aggressive and motivated 
• Familiarity or willingness to learn sales technologies to find and attract prospects
• Self-starter and comfortable working in limited process environments
• Full-cycle sales experience and ability to navigate the complexities of enterprise deals
• Fast-paced and focused on helping prospects / customers
• 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
• Strong communication skills: Clearly and objectively communicate observations from the field

Bonus Points, But Not Required

• Previous selling experience in
• Software Engineering
• Data Science
• Machine Learning

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.

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.

The Opportunity

AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.

Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production.

The Team

Our team is working to define the “canonical stack” for AI workflows, by solving the toughest problems in AI today: how to experiment, evaluate, understand and improve models or applications at scale in a responsible way. The product team has deep technical and strategic backgrounds from leading AI/ML companies (Uber, Cruise, Spotify, Apple) and experience shipping market leading platforms at scale. Working with this team is an opportunity to develop further as a PM leader in a rapidly growing space by collaborating with some of the best in class AI Engineers and Data Scientists in the industry.

What You’ll Do

• You will be owning, strategizing, and developing a large portion of Arize AI’s core product roadmap.
• From ideation to creation, you will be involved in all stages of the product life cycle. 
• You will be engaging with our customers directly to gather meaningful insight and feedback in order to create a world class product.
• You will be working cross functionally with internal and external stakeholders; including engineering, design, marketing, and sales to drive our product strategy into production.
• You will be responsible for communicating and integrating competitive analysis, usability research, and market analysis into product requirements. 
• Utilize your understanding in AI/ML/CV or related technical space in order to contribute to Arize AI’s main product offering.

What We’re Looking For

• 2-3+ years of relevant product management experience or previous AI/ML experience with strong product ownership.
• Previous engineering and/or tech lead experience
• Strong track record of building in a technical domain while shipping quickly and efficiently.
• Willingness to get your hands dirty with code!
• Experience and/or knowledge of working within machine learning, or data platforms and infrastructure.
• Experience working directly with customers and promoting community discussions in order to gather client feedback.
• Experience driving data-informed product strategy into production.

Bonus Points, But Not Required

• Experience in API design
• Early startup experience
• Experience working with Figma or similar design tools

The estimated annual salary for this role is between $150,000 - $220,000, 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.

The Opportunity

We're looking for a UX Design Engineer to own and perfect the end-to-end user experience. The ideal person for this role obsesses over the details and can deliver improvements to the product.

Most engineering teams treat UX refinement as an afterthought squeezed between feature work. We have a dedicated role for it because we believe the difference between "works" and "delightful" is what separates good products from great ones. You'll have the space to really care about craft. We're a technical team building for technical users. Your job is to make the experience of using our product enjoyable!

What You'll Do:

Own the "look and experience" of the product end to end:

User Research 

• Identify pain points
• Watch real users in Fullstory, identify friction points, and fix them

Design Solutions 

• Prototype interaction alternatives rapidly (in Figma or code) to test different approaches
• Create, refine, and iterate on UX flows and interaction patterns

Implement Solutions

• Work closely with our Senior engineers who own feature architecture - they build the foundation, you perfect the interface
• Run lightweight usability tests to validate improvements
• Build reusable interaction patterns that the team can leverage

A typical week might include:

• Watching 10 user sessions, identifying common friction points
• Meeting with users to get deeper on new product features feedback 
• Prototyping different flows in Figma
• Implementing design improvements with smooth transitions and helpful inline guidance
• Pairing with Staff engineers to refactor a complex form into a multi-step wizard
• Running a quick usability test with 5 users on the new onboarding flow

You're a great fit if:

• You have an engineering background - you’ve either been an frontend developer, have an engineering degree, or you have used Claude Code/Cursor to make impactful design changes.
• You've worked on complex tools (dev tools, data tools, B2B SaaS) where UX really matters
• You've made products noticeably better through refinement (show us!)
• You’ve built or contributed to design systems and animation libraries.
• You've used feedback collection tools and incorporated user feedback into designs
• You can work in Figma to wireframe and create flows to share with fellow engineers
• You think about edge cases, loading states, and empty states automatically

The estimated annual salary for this role is between $165,000 - $200,000, 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.

The Opportunity

As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’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.

The Team

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. 

As an AI Solutions Manager, your work will directly contribute to our customers’ 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’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’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies.

What You’ll Do

• 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.
• Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions.
• Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices.
• Run workshops and training sessions with customers during onboarding and new functionality
• Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships.
• Proactively monitor product usage across your accounts to further gauge account health
• Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies.
• Effectively relay customer feature requests to internal teams and advocate for customer needs.
• Ensure support teams are aligned with customer requests and priorities.

What We’re Looking For

• 3+ years of experience as a Customer Success Manager in SaaS.
• A self-starter mindset with the ability to thrive in limited process environments.
• Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively.
• Strong communication skills for articulating observations and fostering collaboration across teams.
• Proven ability to demo technical products and translate their value into tailored customer solutions.
• Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results.
• A strong team player who values collaboration and collective success.
• Bonus: Familiarity with AI/ML workflows or GenAI technologies.

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.

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.

The Opportunity

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. 

We are looking for a fast-paced, client-obsessed Account Executive with an entrepreneurial mindset to find, win and grow new customers. You’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’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’ll be involved in exciting and complex sales cycles and leverage your business acumen to navigate the intricacies. 

What You’ll Do

• Be a networker, seller and closer
• Build relationships with AI/ML stakeholders and be an active member of the community
• Conduct discovery with prospects and share the Arize vision
• Run a sophisticated prospecting strategy to “get the word out” and find deals
• Create sales plays, write talk tracks and strategically identify new business opportunities 
• Deeply research accounts, stakeholders and competitors
• Manage proof of concepts, drive adoption and grow accounts
• Manage and navigate internal / external stakeholders to ensure success
• Understand use cases, scope licensing and find more workloads
• BANT or MEDDIC methodology preferred

What We’re Looking For

• 5+ years enterprise SaaS sales experience: Hungry, aggressive and motivated 
• Familiarity or willingness to learn sales technologies to find and attract prospects
• Self-starter and comfortable working in limited process environments
• Full-cycle sales experience and ability to navigate the complexities of enterprise deals
• Fast-paced and focused on helping prospects / customers
• 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
• Strong communication skills: Clearly and objectively communicate observations from the field

Bonus Points, But Not Required

• Previous selling experience in
• Software Engineering
• Data Science
• Machine Learning

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.

While we are a remote-first company the ideal candidate will be based in the San Francisco Bay Area. 

Note: Arize is a remote-first company but Developer Relations roles often appear at in-person events. The nature of this role requires candidates to be based in the New York City metro area, though there isn't an in-office requirement.

The Opportunity

Our developer relations team’s mission is to provide the best possible developer experience for our flagship products, Arize AX and Arize Phoenix. You’ll drive value to the business by building authentic relationships with the community at in-person events, writing best-in-class documentation, attention-grabbing open-source demos, blog posts, videos, social content and more. We are expanding the team to improve our geographic coverage, with this role specifically based in the New York metro area.

What You’ll Do

Primary responsibilities

• Build awareness of Arize’s products and our reputation as a thought leader in the space of AI evaluations and observability across every medium: social content, blog posts, videos, and more
• Create a stellar onboarding experience for users of Arize by writing, expanding and polishing our product documentation
• Write tutorials, cookbooks and open-source demonstration repositories that drive users quickly from introduction to value
• Interact directly with our developer community at conferences, trade shows, and local meetups as well online through our community Slack and other channels
• Take feedback from the community and turn it into actionable product insights that shape our open source and commercial product roadmaps

Secondary responsibilities

• Assist our marketing team by providing source material for field marketing and SEO-focused website copy
• Be the first point of contact for community members with product questions, directing them to the appropriate teams and channels
• Collaborate with the Product team to prototype “spikes” for new features and product directions
• Build partnerships with other companies and projects in the space to extend our reach

What We’re Looking For

• 3+ years of experience in an engineering or equivalently technical dev relations role
• Excellent technical communication skills, both written and verbal, demonstrated by public-facing documentation, blog posts and videos where possible
• Up-to-date engineering skills, ideally but not necessarily demonstrated by open-source demonstrations and cookbooks
• Working knowledge of LLM-based app development e.g. agents, RAG, orchestration frameworks. You do not need to be specifically familiar with Arize.
• A curious and self-motivated continuous learner, comfortable with the ambiguities and rapid iteration of a startup environment
• Willing to attend occasional evening and weekend events in-person either local to your location or (less frequently) within a few hours’ travel time

Bonus Points

• Familiarity with the evaluations and observability space including products like Arize
• Highly engaged in technical communities on forums like X, Reddit, Slack, Discord, Dev.to etc.
• Existing experience running or contributing to open-source projects like Arize Phoenix

The estimated annual salary for this role is between $100,000 - $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.

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.

Note: Arize is a remote-first company but Developer Relations roles often appear at in-person events. The nature of this role requires candidates to be based in the San Francisco Bay area, though there isn't an in-office requirement.

The Opportunity

Our developer relations team’s mission is to provide the best possible developer experience for our flagship products, Arize AX and Arize Phoenix. You’ll drive value to the business by building authentic relationships with the community at in-person events, writing best-in-class documentation, attention-grabbing open-source demos, blog posts, videos, social content and more. We are expanding the team to improve our geographic coverage, with this role specifically based in the San Francisco Bay area.

What You’ll Do

Primary responsibilities

• Build awareness of Arize’s products and our reputation as a thought leader in the space of AI evaluations and observability across every medium: social content, blog posts, videos, and more
• Create a stellar onboarding experience for users of Arize by writing, expanding and polishing our product documentation
• Write tutorials, cookbooks and open-source demonstration repositories that drive users quickly from introduction to value
• Interact directly with our developer community at conferences, trade shows, and local meetups as well online through our community Slack and other channels
• Take feedback from the community and turn it into actionable product insights that shape our open source and commercial product roadmaps

Secondary responsibilities

• Assist our marketing team by providing source material for field marketing and SEO-focused website copy
• Be the first point of contact for community members with product questions, directing them to the appropriate teams and channels
• Collaborate with the Product team to prototype “spikes” for new features and product directions
• Build partnerships with other companies and projects in the space to extend our reach

What We’re Looking For

• 3+ years of experience in an engineering or equivalently technical dev relations role
• Excellent technical communication skills, both written and verbal, demonstrated by public-facing documentation, blog posts and videos where possible
• Up-to-date engineering skills, ideally but not necessarily demonstrated by open-source demonstrations and cookbooks
• Working knowledge of LLM-based app development e.g. agents, RAG, orchestration frameworks. You do not need to be specifically familiar with Arize.
• A curious and self-motivated continuous learner, comfortable with the ambiguities and rapid iteration of a startup environment
• Willing to attend occasional evening and weekend events in-person either local to your location or (less frequently) within a few hours’ travel time

Bonus Points

• Familiarity with the evaluations and observability space including products like Arize
• Highly engaged in technical communities on forums like X, Reddit, Slack, Discord, Dev.to etc.
• Existing experience running or contributing to open-source projects like Arize Phoenix

The estimated annual salary for this role is between $100,000 - $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.

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.

The Opportunity

AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.

Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production.

The Team

Our Fullstack Engineering team builds both the highly scalable distributed services that power Arize's ML observability platform and the intuitive frontend applications that bring these capabilities to life. The team primarily works in TypeScript and Python to create seamless data visualization and monitoring experiences, with some services written in Go. We focus on delivering robust features that help clients interpret, visualize, and monitor their AI and ML models across the entire stack.

You will be a part of the core team that drives product innovation at Arize. You will be challenged with understanding how some of the most impactful engineering teams are developing AI and LLM-powered applications, and how to build the right tools to enable them to do their best work. Our product solutions range from clean APIs that magically instrument applications, interactive playgrounds for prompt engineering and agent development, or scaling up real-time evaluation infrastructure to handle millions of annotations per second

What You’ll Do

• Write maintainable, scalable, and performant code across the stack primarily in Typescript and React with opportunities to work in Python and Go.
• Design and build APIs, and domain / object models specific to our customers’ Machine Learning and LLM workflows.
• Design and build out performant and reusable react components that will be used throughout the application.
• Research and implement cutting-edge visualization & dimensionality reduction algorithms in a distributed environment.
• Collaborate with our product, design, and directly with customer engineering teams to enhance and expand our product offerings.
• Contribute to the build our own in-house AI Agents
• Participate in or lead architectural decisions for new and existing features in collaboration with product, design and our backend teams. 
• Contribute to design & code reviews and technical documentation.

What We’re Looking For

• 5+ years of frontend experience working on external user-facing UI’s - preferably in React and Typescript
• Previous experience debugging complex systems in a team environment.
• Enthusiasm and interest in the AI and LLM ecosystem, with a desire to learn and stay updated on emerging technologies.
• Previous work building and operating highly complex, high-volume SaaS platforms/systems.
• Strong sense of product ownership in order to push features over the line.
• Passion for creating beautiful UX design with the end user in mind.
• A good teammate, someone who sees supporting their team as a core part of the job

Bonus Points, But Not Required

• Experience working with GraphQl or a comparable API technology.
• Experience working with ML, analytics, data science or data visualization products.
• Working knowledge of Machine Learning and/or Data Science.
• First-hand experience working with large language models (LLMs) or developing AI products.

The estimated annual salary for this role is between $125,000 - $225,000, plus a competitive equity package. Actual compensation is determined based on a variety of job-related factors that may include transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefits package, including medical, dental, vision, a 401(k) plan, unlimited paid time off, a generous parental leave plan, and additional support for mental health and wellness.

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.

The Opportunity

Our Backend Engineering team builds all of the highly scalable distributed services that power Arize’s ML observability platform. While Go is our primary language for these distributed systems, the team also maintains services and tools written in Python, Java, and TypeScript. The expectation and scope of every individual on this team is high, whether it’s finding the most efficient way to compute model evaluation metrics across billions of data points, designing the next generation of our OLAP database architecture, or researching and implementing the latest dimensionality reduction techniques – you will never lack a technical challenge.

You will be a part of the core team that drives product innovation at Arize. You will be challenged with understanding how some of the most impactful engineering teams are developing AI and LLM-powered applications, and how to build the right tools to enable them to do their best work. Our product solutions range from clean APIs that magically instrument applications, interactive playgrounds for prompt engineering and agent development, or scaling up real-time evaluation infrastructure to handle millions of annotations per second.

What You’ll Do

• Write maintainable, scalable, and performant backend code primarily in Go, Java, and Python, with opportunities to work in TypeScript.
• Build high-volume and highly available analytics systems.
• Design and build APIs specific to our customers’ Machine Learning and LLM workflows.
• Prototype, optimize, and maintain scalable backend services that power the Arize core platform.
• Extend, and contribute back to, open source OLAP databases and distributed message queue frameworks.
• Develop and integrate collection tools for robust monitoring of ML and LLM pipelines.
• Research and implement cutting-edge visualization & dimensionality reduction algorithms in a distributed environment.
• Collaborate with our product, design, and directly with customer engineering teams to enhance and expand our product offerings.
• Contribute to the build our own in-house AI Agents

What We’re Looking For

• 5+ years of experience working with high-performance backend systems.
• Strong experience writing Go, Python, TypeScript/Node, Java, or similar server programming languages.
• Enthusiasm and interest in the AI and LLM ecosystem, with a desire to learn and stay updated on emerging technologies.
• Previous work building and operating highly complex SaaS platforms/systems.
• Knowledge of working with public clouds & container orchestration - AWS, GCP, Azure, Kubernetes, etc.

Bonus Points, But Not Required

• Experience with distributed stream processing - Kafka, Gazette, or similar.
• Experience with OLAP systems.
• Familiarity with system observability tooling like Prometheus.
• Working knowledge of Machine Learning and/or Data Science.
• First-hand experience working with large language models (LLMs) or developing AI products.

The estimated annual salary for this role is between $125,000 - $225,000, plus a competitive equity package. Actual compensation is determined based on a variety of job-related factors that may include transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefits package, including medical, dental, vision, a 401(k) plan, unlimited paid time off, a generous parental leave plan, and additional support for mental health and wellness.

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.

Why this role matters

Arize AX is the AI & Agent Engineering Platform – one place to develop, evaluate, and operate AI at scale. From tracing and evaluators to experiments and monitoring, we help AI teams close the loop between development and production.

The platform is already running at real scale – trillions of spans per month, tens of millions of evals, and millions of OSS downloads – and adoption is only accelerating. To keep up, we need engineering leaders who can move fluidly between building product-facing experiences and scaling backend systems.

This is not a narrow “frontend EM” or “infra EM” role. It’s a hybrid – product-engineering meets backend/infrastructure – for someone who enjoys solving hard technical problems while also growing people and driving projects.

What you’ll do

• Contribute as an engineer on complex product and infrastructure challenges – building features that customers touch and scaling the systems behind them. One week you may be reviewing designs for a new workflow in the UI, the next digging into performance bottlenecks in the query layer.
• Lead a team of engineers and tech leads – hiring, mentoring, and creating the conditions for them to do the best work of their careers.
• Drive projects end-to-end – ensuring scope is clear, trade-offs are well understood, and delivery is predictable.
• Work cross-functionally with Product and Design to set direction, and with Solutions and Support to make sure we’re solving the real problems our customers face in production.

What success looks like

• Your team ships impactful features and infrastructure improvements reliably – without burning out.
• Systems and workflows you touch become more scalable, reliable, and maintainable.
• Engineers you manage are growing into broader scope and leadership.
• Product, Design, Solutions, and Support see you as a trusted partner who helps turn customer needs into product reality.

What we’re looking for

• You’ve been both an IC and a manager – you know what great engineering looks like at the system and code level, and you know how to build and lead teams.
• Strength across both product/fullstack engineering and backend/infrastructure – comfortable moving between customer-facing workflows and the systems that power them.
• Experience balancing people leadership, project execution, and technical depth.
• Clear, direct communicator who builds trust across teams.

Bonus points

• Prior founder or early-stage builder – comfortable creating clarity in ambiguity and wearing multiple hats.
• Experience with open standards like OpenTelemetry or OpenInference, or contributing to OSS.
• Background in ML/LLM infrastructure, observability, or evaluation tools.
• A track record of building developer platforms or enterprise products that engineers love to use.

Why Arize

• Mission – help teams build AI that actually works in the real world.
• Scale – systems operating at trillions of spans and tens of millions of evals per month.
• Growth – join at an inflection point and help shape both the product and the team.

The estimated annual salary and variable compensation for this role is between $180,000 - $250,000 USD, 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.