Senior Technical Product Manager

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 what's 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 people's daily hands. That's this role. You'll own the AI content operations product roadmap inside Content Platforms: identifying where content creators spend time on work that doesn't 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 them.Teams 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 what's 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 they're already making on their own.This is not a research role and it's not a presentations role. You'll write code, ship prototypes, pair with engineers, and measure adoption. AI-assisted development is how we work — you'll be expected to use it, build with it, and be opinionated about it.

You'll 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 people's daily workflow within weeks of shipping, not quarters.

You'll 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 who'd 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 haven't named yet
• →Build functional prototypes independently to validate ideas and sharpen requirements before full engineering investment
• →Drive adoption: a tool that doesn't change someone's daily workflow doesn't 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 doesn't yet — and is comfortable holding those opinions loosely as the people closer to the work teach you what you're 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 Node.js, TypeScript, and modern web frameworks
• Able to build simple web apps and functional prototypes on your own — you won't 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: you'd 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 haven't 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 $139,000 and $208,000/year, with an expected On Target Earnings (OTE) between $154,000 and $231,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In 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.