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Arize AI

Technical Product Marketing Manager

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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 and Agent Engineering observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. 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 looking for a proactive, high-energy Technical Product Marketing Manager (PMM) to drive product growth and adoption by improving the onboarding experience, optimizing user journeys, and creating data-driven nurture strategies. You’ll work closely with Product, Sales, Marketing Growth, and Developer Relations teams to refine how users learn and experience Arize—ensuring they get value faster and stay engaged.

The Team

You'll be joining a dynamic marketing team and deeply technical organization that operates at the cutting edge of AI. From creative brand storytellers and demand gen experts to field marketers who bring our message to community-leading events, we know how to engage AI engineers and technical decision-makers. You’ll collaborate closely with some of the most technical DevRel counterparts in the space—from former solutions architectures to AI engineers who live and breathe AI evaluation and observability.

If you’re looking for an opportunity to learn, experiment, and grow your career in AI and product marketing, this role is for you.

What You’ll Do

  • Positioning & Messaging – Develop and refine clear, differentiated positioning for Arize’s AI observability and evaluation products that resonate with AI engineers and technical decision-makers.
  • User Journey Optimization – Map out and improve the full user journey, from sign-up to adoption, ensuring seamless transitions and strong retention.
  • Lifecycle Marketing & Nurtures – Develop targeted email sequences, in-product messaging, and other nurture campaigns to guide users to key product milestones
  • Sales Enablement – Create sales decks, one-pagers, demo flows, and training materials that help our GTM teams articulate Arize’s value to enterprises and open-source users.
  • Demo & Use Case Development – Work closely with Sales Engineers to craft compelling demo flows that showcase Arize’s capabilities for troubleshooting, fine-tuning, and evaluating LLMs and AI agents.
  • Data-Driven Insight – Leverage analytics to measure activation, engagement, and retention—continuously iterating on strategies to improve user outcomes.
  • Content & Thought Leadership – Drive content creation, from technical blogs to case studies and conference presentations, to establish Arize as the leader in AI observability.
  • Customer Insights & Market Research – Gather intelligence on customer needs, industry trends, and competitive landscape to inform product strategy and messaging.
  • Go-to-Market Execution – Support feature launches with clear messaging, user and enterprise-facing content, and growth-focused experiments.
  • Collaboration Across Teams – Work closely with PMs, designers, growth marketers, and DevRel to align on adoption strategies and execute initiatives.

Who You Are

  • Technical PMM Expertise – You have 4+ years of experience in product marketing and/or developer relations, ideally with AI, developer tools, or technical SaaS products.
  • AI Fluency – You understand the AI/ML space—bonus points if you have experience in observability, evaluation, agent-based systems.
  • Storyteller for Technical Audiences – You know how to craft compelling messaging that resonates with engineers and enterprise buyers alike. 
  • Clear Communicator – You know how to translate complex technical concepts into compelling, user-friendly messaging.
  • Sales & Product Savvy – You’re comfortable working closely with sales teams, sales engineers, understanding customer objections, and refining messaging to address them.

The estimated annual salary for this role is between $145,000 to $165,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.

More About Arize

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

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


Diversity & Inclusion @ Arize

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

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

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Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
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  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

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