Marketing Operations and Analytics Associate

Reposted 16 Days Ago
San Francisco, CA
In-Office
80K-110K
Entry level
Artificial Intelligence • Machine Learning
The Role
The Marketing Associate will support marketing campaigns, create content, coordinate events, conduct market research, and engage with online communities.
Summary Generated by Built In
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.

Note: 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

You'll be joining a dynamic and deeply technical marketing team that operates at the cutting edge of AI. From creative brand storytellers and demand generation experts to field marketers who engage AI engineers and technical decision-makers, our team is passionate about building awareness and driving adoption.

As a Marketing Operations and Analytics Associate, you’ll gain hands-on experience in multiple areas of marketing, working closely with experienced marketers, sales teams, and product experts. This is an excellent opportunity to grow your career in a fast-paced, high-impact environment.

What You’ll Do
  • Support Marketing Campaigns – Assist in the execution of marketing initiatives, including digital campaigns, content marketing, and event promotions.
  • Marketing Analytics & Optimization – Track campaign performance, analyze results, and identify opportunities to improve ROI and drive continuous optimization.
  • Content Creation – Help develop marketing materials such as blog posts, social media content, email newsletters, and product collateral.
  • Event Coordination – Support the planning and execution of industry events, webinars, and conferences to engage AI engineers and decision-makers.
  • Market Research & Analysis – Conduct research on industry trends, competitors, and customer needs to help refine messaging and strategy.
  • Social Media & Community Engagement – Monitor and engage with online communities, ensuring our messaging reaches the right audiences.
  • Sales & Product Enablement – Assist in the development of sales collateral, product messaging, and training materials for internal teams.
Who You Are
  • Recent Graduate – Bachelor’s degree in Business, Economics, Mathematics, Marketing or a related analytical field. Majors in Computer Science, Data Science, or other technical fields are a strong advantage.
  • Passionate About AI & Technology – Genuine interest in AI and developer-focused products.
  • Clear Communicator – Able to simplify complex concepts and communicate effectively with both technical and non-technical audiences.
  • Detail-Oriented & Organized – Comfortable juggling multiple priorities, meeting deadlines, and delivering high-quality work in a fast-paced environment.
  • Team Player with a Growth Mindset – Excited to learn quickly, take initiative, and collaborate with a high-impact marketing team.
  • Experience with Marketing & Analytics Tools (a plus) – Familiarity with tools such as Google Analytics, Google Ads, SQL, or marketing automation platforms (Hubspot, Salesforce) is a plus.

This role is perfect for a recent graduate looking to kickstart their marketing career in a high-growth AI company. If you're excited to learn, create, and drive impact, we’d love to hear from you!

The estimated annual salary for this role is between $80,000 to $110,000, 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 people.
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.

Learn more about what we're doing here:

https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/

https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/

Diversity & Inclusion @ Arize

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

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

Top Skills

Content Management Systems
Marketing Tools
Social Media Platforms
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The Company
HQ: Berkeley, CA
78 Employees

What We Do

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

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