Senior Technical Product Manager, Content Platforms (Localization)

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 content across dozens of products teams and markets. Localizing that content today runs through Phrase and a set of manual processes that while functional create bottlenecks that dont add proportional value. Were building an AI-powered translation infrastructure to change that; we need a TPM who can own is an early-stage platform role. The architecture is taking shape; the problems arent all known yet. Youll be most effective if you thrive in that 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 design systems that let teams self-serve and drive the technical execution of an internal AI translation platform. AI wont replace human judgment in this process youll help us figure out where human review is essential and design workflows that make that review fast targeted and high-quality. The goal is to remove friction that doesnt need to exist not to cut corners on at Braze touches almost every part of the business: Demand Gen Product Marketing Sales Enablement Product Engineering Support and the regional teams that depend on locally-relevant content to do their jobs. Your first job is to plug into the existing localization program understand whats working whats not and where the people closest to it think the real opportunities are. The platform we build has to be informed by that reality not imposed on 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.

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 the localization platform matures we expect this role to expand into adjacent problem areas. The right candidate sees localization as a way in not the whole job.

The localization industry is in the middle of a real shift and most people in it are watching from the sidelines. This role puts you at the front of it not as someone reacting to AI but as someone deciding how an enterprise actually adopts build the kind of experience that compounds: hands-on systems thinking real product ownership and fluency with the tools that are reshaping how technical work gets done. A problem big enough to matter the autonomy to shape the solution and a team of engineers who actually want to build with is a role for people whod rather shape how AI gets used than watch it happen to them.

• Own the localization infrastructure product: roadmap architecture decisions stakeholder alignment
• Partner with engineers to design and ship multi-platform systems that meet complex evolving localization needs across the business
• Build functional prototypes independently to validate ideas and sharpen requirements before full engineering investment
• Design the workflows and self-serve patterns that let teams move forward without routing every request through a central queue
• Drive adoption of AI-assisted translation tooling while maintaining quality and consistency standards
• Help us make smart build-vs-buy decisions knowing when to build internal tooling and when existing or emerging vendors are the better answer
• Manage relationships with translation and localization vendors what we expect of them what we move away from and how their work integrates with everything we build

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

A working background in localization is a strong plus but it isnt a requirement. What we do need is a thoughtful interest in the space someone who has read into the problem has views on where AI shifts the cost curve and is genuinely curious about how a modern enterprise should be running this kind of program. If you bring the systems thinking and product instincts we can build the domain depth around you.

If you do have localization experience heres what wed expect you to bring:

• Familiar with the localization landscape tools workflows vendor relationships and where the real friction lives
• Able to develop a clear framework for when human review is required tuned to content type audience risk and context not just an instinct but a defensible model others can apply
• Experience with platforms like Phrase is relevant context

• 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

• Comfortable architecting multi-platform systems 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 managing stakeholders across team boundaries including customers who have real expectations tied to your delivery

• Genuinely curious about what AI makes possible not as a buzzword but as a tool you use and build with
• Iterative by nature: youd rather ship a rough thing and learn than over-plan before moving
• 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.