Demand Generation Lead, Arize AI
More information about location
Machine learning observability platform
Be an early applicant
Machine learning observability platform
21-100 employees
Be an early applicant
More information about location
21-100 employees
Company mission
To make the world’s AI work and work for the people.
Role
Who you are
- You’re a strategic thinker and hands-on operator who thrives on measurable impact. You bring:
- Proven experience leading demand generation for a fast growing B2B SaaS company (5–8+ years in growth, demand gen, or related marketing roles)
- Track record of driving pipeline growth through multi-channel campaigns that fuel both sales-led and product-led go-to-market motions
- Experience nurturing open-source and self-serve users into enterprise users
- Analytical mindset and comfort owning reporting, dashboards, and campaign analysis without a dedicated ops team
- Comfort in a fast-paced, high-growth environment: You thrive when stakes are high and goals are ambitious
- Experience engaging technical audiences (AI/ML engineers, AI developers, AI PMs) and understanding their unique buyer journey
- Have familiarity with influencer marketing in the AI space
- Familiarity with hybrid GTM models (sales-led + product-led) and the ability to adapt strategies accordingly
- A growth-oriented mindset—ready to innovate and challenge traditional tactics for a rapidly evolving AI market
- (Bonus) Background in AI/ML, developer tools, or data infrastructure products
- The nature of this role requires candidates to be based in the San Francisco Bay Area, though there isn't an in-office requirement
What the job involves
- Arize is entering a new phase of growth—our sales team has more than doubled, and demand for AI solutions is skyrocketing. We’re looking for a Head of Demand Generation to take ownership of pipeline creation and drive growth in the business
- This is a unique career opportunity for a builder and strategist who thrives on delivering results
- You’ll have the opportunity to build the demand generation function from ground up and play a critical role in accelerating revenue growth in the ever-evolving world of AI
- You’ll play a critical role in aligning with Sales and Developer Relations, ensuring campaigns complement their efforts in driving enterprise relationships and building awareness among AI developers and engineers
- We’re looking for someone excited to leverage AI-driven tools and insights to optimize campaigns, uncover opportunities, and drive scalable pipeline
- You will own demand generation end-to-end, from strategy to execution and analysis:
- Define a demand generation strategy that drives the pipeline for sales-led growth and supports emerging product-led initiatives
- Build the roadmap for scaling demand across enterprise and strategic accounts, as well as free and open-source user segments
- Design, launch, and optimize multi-channel campaigns (paid search and social, ABM, webinars, events, SEO, email nurtures)
- Experiment with new tactics and channels to capture the attention of AI engineers, developers, technical leaders and enterprise decision-makers
- Own audience segmentation, messaging alignment, and campaign orchestration across the funnel
- Partner with Sales leadership to align on pipeline goals, lead SLAs, and feedback loops
- Develop joint strategies for account-based marketing, pipeline acceleration, and enterprise engagement
- Collaborate closely with the DevRel team to ensure demand generation efforts amplify community programs, leverage insights from technical audiences, and convert engagement into qualified pipeline
- Track and analyze campaign performance using HubSpot, Salesforce (or similar), and analytics platforms
- Collaborate with the Head of Marketing Ops & Enablement to monitor pipeline health, conversion rates, and ROI, and make data-driven decisions on where to invest or adjust
- Manage and optimize the marketing tech stack (HubSpot, CRM integrations, attribution tools) to ensure seamless campaign execution and visibility
- Maintain accurate tracking and attribution of leads throughout the funnel
Our take
Machine learning is rapidly becoming a fundamental and mainstream automation tool used across many industries. The issue, however, is that monitoring, assessing, and improving ML models is costly, and especially tricky without monitoring capabilities. It’s created a market demand for ML monitoring tools, and Arize’s platform offers a rich suite of them.
The Arize platform gives developers and operators comprehensive oversight of their models with tools including performance tracing, drift detection, and integration and deployment. This provides a crucial guardrail: as more decision-making is handed over to ML in areas like insurance and loans, poor ML model performance can have a catastrophic effect on both individuals and customers alike.
Remarkably, given this development, ML observability platforms aren’t yet in huge supply. Arize startup rivals like Censius and WhyLabs are making strong headway, but a clear winner has by no means yet emerged. Arize has, however, netted some major customers: Spotify, Instacart, Uber, and P&G are a handful of the major clients that will help it lay a strong foundation in what is anticipated to be a highly lucrative market.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
23% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Sep 2022
$38m
SERIES B
Sep 2021
$19m
SERIES A
Total funding: $61m
Company benefits
- Remote work
- Open PTO policy
- Health, dental, vision insurance
- 401K
- Company wellness days
- Coworking
Company values
- Do > Say - We believe in building, not just talking. Execution matters more than meetings, and progress beats process. Instead of endless debate, we prototype. Instead of bureaucracy, we ship. AI moves fast—so do we.
- N+1 - Good enough isn’t good enough. We believe in continuous improvement—whether it’s improving AI-powered systems, our product, or ourselves, there’s always a better version to build, iterate, and level up.
- Bring Solutions - Spot a problem? Own it. We don’t waste time on complaints or excuses—we focus on fixing, improving, and building. Whether it’s a blocker in a project or a gap in how we work, the expectation is simple: push for a better way forward.
Company HQ
Berkeley, CA 94704
Articles
Leadership
Jason Lopatecki
(Co-Founder & CEO)Previously a System Architect at Calix, before they moved on to found and serve as CSO/CIO at TubeMogul for over a decade.
Aparna Dhinakaran
(Co-Founder & CPO)Has held Software Engineer roles at both Dote and Apple, and worked on Machine Learning at TubeMogul and Uber. Also co-founded and served as CEO at Monitor ML, and is additionally a columnist at Forbes.
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