Senior Technical Product Manager, Content Platforms (AI Content Operations)

At Braze we have found our people. Were a genuinely approachable exceptionally kind and intensely passionate crew.

We seek to ignite that passion by setting high standards championing teamwork and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity inside and outside our organization.

To flourish here you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy having accountability and being open to new perspectives are essential to our continued success.

Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change you will be empowered to make a real impact here with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive we cant wait to meet you.

Braze produces a lot of content marketing campaigns blog posts customer stories courses lessons documentation and most of it is still written reviewed and published the way it was five years ago. AI changes whats possible here but only if someone owns the work of figuring out which parts of the content workflow actually benefit from automation building the tools and getting them into peoples daily this role. Youll own the AI content operations product roadmap inside Content Platforms: identifying where content creators spend time on work that doesnt add proportional value designing tools that remove the friction shipping those tools into the Sanity CMS and the broader content stack and driving adoption with the marketing and learning teams that use across Braze are just starting to figure out how AI fits into their day-to-day work. There is no settled playbook and the people closest to the business problems the writers designers instructional designers marketers and operators making content every day are the ones discovering whats possible. Your job is to learn from them first. The good ideas will not come out of an abstract roadmap exercise; they will come out of sitting next to people doing the work watching where they get stuck and noticing the small AI-powered moves theyre already making on their is not a research role and its not a presentations role. Youll write code ship prototypes pair with engineers and measure adoption. AI-assisted development is how we work youll be expected to use it build with it and be opinionated about it.

Youll sit on the Content Platforms team as a senior individual contributor. No direct reports but a strong remit to lead setting direction raising the bar and pulling colleagues across teams toward better solutions.

The role itself is Senior TPM Content Platforms the parenthetical reflects initial focus not permanent scope. The team owns a broader technical content operations remit and as this work matures we expect the role to expand into adjacent problem areas. The right candidate sees AI content operations as a way in not the whole job.

The job most product managers say they want owning a real product shipping it watching adoption climb is hard to find inside a large company. This role is one of them. Content Platforms is a small fast-moving team. The marketing and learning organizations are real customers with real pain points. The tools you ship will land in peoples daily workflow within weeks of shipping not quarters.

Youll also be in a rare seat in terms of timing. The content operations function is in the middle of a hard reset around AI and most of the people deciding how that plays out at enterprise scale are doing it badly. This role puts you in a position to shape how it gets done at Braze and to develop the judgment that will be in short supply across the industry for a long time.

This is a role for people whod rather build the tools than write a deck about them.

• Embed with marketing and learning teams to deeply understand how content actually gets made research drafting review publishing optimization and where the friction lives. Pay particular attention to the AI experiments people are already running on their own; those are usually where the real opportunities surface
• Own the AI content operations product roadmap: what we build what we buy what we kill
• Ship AI-powered tools that meaningfully shorten the path from idea to published content: metadata generation doc-to-CMS conversion content review and quality checks research assistants asset generation and more we havent named yet
• Build functional prototypes independently to validate ideas and sharpen requirements before full engineering investment
• Drive adoption: a tool that doesnt change someones daily workflow doesnt count
• Make smart build-vs-buy decisions knowing when to write internal tooling and when an existing or emerging vendor is the better answer
• Partner with the Sanity platform investment since most of these tools surface inside the CMS or against its content

PMs are encouraged to apply but so are solutions architects solutions consultants engineers and others with a background in content management and content operations. Read the rest as a description of the work not a checklist of prior titles.

• Familiar with how modern content teams actually work content calendars brief-to-publish workflows review and approval SEO localization touchpoints asset management
• Has opinions about where AI usefully fits in those workflows today and where it doesnt yet and is comfortable holding those opinions loosely as the people closer to the work teach you what youre missing
• Curious about content as a system not just a deliverable what we publish how it gets discovered how it gets reused how it shapes the brand

• Deeply familiar with headless CMS architecture; Sanity experience is a strong plus
• Comfortable with TypeScript and modern web frameworks
• Able to build simple web apps and functional prototypes on your own you wont be shipping complex systems to production solo but you can independently validate an idea end-to-end
• Comfortable building with AI development tools like Claude Code or Cursor and with the model APIs underneath them
• Has opinions about evaluating prompting and integrating LLMs into real workflows not just experimenting in a chat window

• Comfortable architecting tools that connect multiple systems (CMS analytics model providers internal services) and reasoning about long-term design tradeoffs
• Truly embedded with engineering not just mediating through tickets and grooming sessions but collaborating in real time pairing on problems and helping the team move faster using the AI development tools available today
• Can hold your own in technical conversations without needing to defer every decision
• Experienced shipping internal tools where the bar for adoption is higher than external products and we built it for you is not a valid pitch

• Iterative by nature: youd rather ship a rough thing into a real workflow and learn than over-plan before moving
• Genuinely curious about what AI makes possible not as a buzzword but as a tool you use and build with
• Systems thinker: you design for the problems you havent seen yet not just the ones in front of you

For candidates based in the United States the pay range for this position at the start of employment is expected to be between $140000 and $221000/year with an expected On Target Earnings (OTE) between $156000 and $245000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors including market location job-related knowledge skills and addition to cash compensation this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.