Technical Product Marketing Manager

San Francisco Remote May 6, 2026 Greenhouse

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

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

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

Apply on company site

How to Get Hired at Arize

Compensation at Arize is competitive with other Bay Area AI infrastructure startups at a similar funding stage, which means it is structured to be meaningfully better than what large-cap technology companies offer when measured on total expected value, including equity. Cash compensation for engineering roles in the United States typically ranges from approximately one hundred fifty thousand dollars at the early-career level to roughly two hundred forty thousand dollars at staff and principal levels, with senior engineers and tech leads commonly landing in the one hundred ninety to two hundred twenty thousand dollar range depending on location and specialty. Applied AI and research-leaning roles often carry a premium. New York compensation tracks closely with Bay Area bands. Bangalore compensation is benchmarked against the top tier of the Indian market for ML platform talent, which puts Arize at or above the upper range of what competing AI startups and large multinationals pay there. Equity is granted as stock options on a four-year vesting schedule with a one-year cliff, and the size of grants for engineering hires has historically been meaningful enough that early and mid-stage employees have a real stake in the outcome of the company. Specific grant ranges are role-dependent and are best discussed candidly with the recruiter once you have advanced into the loop. Benefits in the United States include comprehensive medical, dental, and vision coverage with the company covering a substantial share of premiums, a 401(k) plan, generous parental leave, a flexible paid time off policy, a home office stipend for remote and hybrid employees, learning and development budgets, and reimbursement for relevant conferences and books. The company observes a hybrid model for most teams in Berkeley and New York, with two to three days a week in office considered the norm for most roles, and offers fully remote positions selectively when the role and candidate profile justify it. Bangalore operates on a comparable hybrid arrangement. Candidates negotiating offers should focus less on incremental cash improvements and more on equity composition, refresh expectations, and the seniority leveling, since the long-term value of an Arize offer is concentrated in the equity package and in the level at which you enter, which influences the trajectory of subsequent promotions and refreshes.

How to apply to Arize

How well do you match this role?

Check My Resume