
Arize AI
Remote Jobs
Arize AI is a machine learning observability platform for ML practitioners to detect and troubleshoot model issues
43 Jobs
Forward Deployed Engineer
Arize AIArize AI is a machine learning observability platform for ML practitioners to detect and troubleshoot model issues
• Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs • Lead technical discussions with customer stakeholders ranging from engineers to senior executives, translating business priorities into scalable technical solutions • Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements • Manage multiple concurrent customer engagements, driving projects from scoping through delivery while maintaining a high bar for technical execution and customer experience • Collaborate cross-functionally with Sales, CS, Product, and Engineering teams to shape implementation strategy, influence product direction, and expand customer impact • Help define and scale best practices, technical playbooks, and delivery methodologies for the growing Forward Deployed Engineering team
Brand Designer
Arize AIArize AI is a machine learning observability platform for ML practitioners to detect and troubleshoot model issues
• 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 • 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 • 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 • 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
Director, Digital Native Sales
Arize AIArize AI is a machine learning observability platform for ML practitioners to detect and troubleshoot model issues
• Hire, develop, and retain a high-performance team of Account Executives • Coach and train reps on sales fundamentals and technical product knowledge • Foster a culture of accountability and continuous learning • Build and execute the Commercial / Digital Native playbook • Drive logo growth as the primary success metric • Own pipeline health and forecasting for mid-market • Collaborate cross-functionally with Product, Marketing, and Customer Success
People Operations Associate
Arize AIArize AI is a machine learning observability platform for ML practitioners to detect and troubleshoot model issues
• Support onboarding and offboarding processes to ensure a smooth employee experience • Coordinate new hire logistics, documentation, system access, and communications • Maintain employee records and organizational data within the HRIS • Support employee changes including promotions, compensation updates, and organizational changes • Help administer core People programs including performance reviews, engagement surveys, learning initiatives, and employee events • Support documentation and maintenance of People policies, processes, and internal resources • Assist with recurring operational workflows, reporting, and process coordination • Partner cross-functionally with Finance, IT, Talent Acquisition, and business leaders on employee-related processes • Assist with audits, compliance tracking, and policy acknowledgements • Help maintain accurate employee data and reporting • Coordinate operational support for international employees and EOR processes where applicable • Identify opportunities to improve efficiency, employee experience, and operational scalability • Help create documentation and standard operating procedures for recurring People Operations workflows • Contribute to building a strong operational foundation for a growing organization
International Strategic Partnerships Lead
Arize AIArize AI is a machine learning observability platform for ML practitioners to detect and troubleshoot model issues
• Own a regional pipeline quota for partner-sourced and partner-influenced revenue across EMEA and APAC • Define and execute Arize’s international partnership strategy • Activate co-sell motions with AWS, Google Cloud, and Azure regional partner teams • Identify, recruit, and onboard regional systems integrators, consultancies, VARs, and technology partners • Build executive-level relationships with strategic partners • Develop regional joint go-to-market programs • Work closely with the Head of Partnerships & Regional Sales Leaders • Establish and manage partner enablement programs in-region • Track and report on regional partner pipeline and partnership health • Navigate complex regulatory, cultural, and market dynamics across EMEA and APAC • Represent Arize at major regional industry events • Serve as the internal voice of EMEA and APAC markets
Forward Deployed Engineer
Arize AIArize AI is a machine learning observability platform for ML practitioners to detect and troubleshoot model issues
• Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs. • Lead technical discussions with customer stakeholders ranging from engineers to senior executives. • Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. • Manage multiple concurrent customer engagements, driving projects from scoping through delivery. • Collaborate cross-functionally with Sales, CS, Product, and Engineering teams. • Help define and scale best practices, technical playbooks, and delivery methodologies.
AI Solutions Engineer
Arize AIArize AI is a machine learning observability platform for ML practitioners to detect and troubleshoot model issues
Role Description 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 advisor for our customers, driving business value, offering advice, and growing accounts. You’ll accomplish this by: - Working closely with some of the most sophisticated ML / GenAI teams in the world. - Acting as a trusted advisor to our customers, while also building relationships with technical and business stakeholders. - Advising on GenAI and ML best practices. - Giving ML and LLM product demos to technical and business stakeholders. - Running strategic business reviews for customers in partnership with our sales team. - Interfacing with our pre-sales engineering team to gather client goals and KPIs. - Partnering with our product and engineering teams to help drive the product roadmap. - Spearheading new opportunities within existing accounts to help drive expansions. Qualifications - 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. Requirements - 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. Benefits - The estimated annual salary and variable compensation for this role is between $125,000 - $175,000, plus a competitive equity package. - Total compensation includes a comprehensive benefit package, including: - Medical, dental, vision - 401(k) plan - Unlimited paid time off - Generous parental leave plan - Others for mental and wellness support - WFH monthly stipend to pay for co-working spaces for remote employees.
AI Solutions Manager
Arize AIArize AI is a machine learning observability platform for ML practitioners to detect and troubleshoot model issues
• 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.
Sales Development Representative
Arize AIArize AI is a machine learning observability platform for ML practitioners to detect and troubleshoot model issues
• 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
Expansion Account Executive
Arize AIArize AI is a machine learning observability platform for ML practitioners to detect and troubleshoot model issues
• 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.
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