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About the Role

We are building an AI-powered translation infrastructure and need a TPM to own it. This is an early-stage platform role where you will design systems that let teams self-serve and drive the technical execution of an internal AI translation platform. You will also help determine where human review is essential and design workflows for efficient, high-quality review. Your first task is to integrate into the existing localization program to understand its strengths, weaknesses, and opportunities.

Responsibilities

Own the localization infrastructure product, including roadmap, architecture decisions, and stakeholder alignment.
Partner with engineers to design and ship multi-platform systems that meet complex, evolving localization needs.
Build functional prototypes independently to validate ideas and refine requirements before full engineering investment.
Design workflows and self-serve patterns that enable teams to move forward without central queue routing.
Drive adoption of AI-assisted translation tooling while maintaining quality and consistency standards.
Make informed build-vs-buy decisions regarding internal tooling versus external vendors.
Manage relationships with translation and localization vendors, defining expectations and integration points.

Requirements

PMs, solutions architects, solutions consultants, engineers, or others with a background in localization or content operations are encouraged to apply.
A thoughtful interest in localization and AI's impact on the cost curve is needed.
Systems thinking and product instincts are essential; domain depth can be built.
Familiarity with the localization landscape, including tools, workflows, and vendor relationships.
Ability to develop a clear, defensible model for when human review is required.
Experience with platforms like Phrase is relevant context.
Deep familiarity with headless CMS architecture; Sanity experience is a strong plus.
Comfort with Node.js, TypeScript, and modern web frameworks.
Ability to build simple web apps and functional prototypes independently.
Comfort building with AI development tools like Claude Code or Cursor.
Comfort architecting multi-platform systems and reasoning about long-term design tradeoffs.
Ability to collaborate closely with engineering in real-time, pair on problems, and leverage AI development tools.
Capacity to hold technical conversations and contribute to decision-making.
Experience managing stakeholders across team boundaries, including customers.
Genuine curiosity about AI's possibilities and a proactive approach to using it as a tool.
Iterative approach to shipping and learning.
Systems thinker, designing for future problems.

Skills

AI-powered translation infrastructure
Technical Program Management
Systems design
Workflow design
AI-assisted development
Localization
Content operations
Headless CMS architecture
Node.js
TypeScript
Modern web frameworks
Web app development
Prototyping
Stakeholder management
Vendor management
Build-vs-buy analysis

Location

New York
Austin
Berlin
Bucharest
Chicago
Dubai
Jakarta
London
Paris
San Francisco
São Paulo
Singapore
Seoul
Sydney
Tokyo

Work Type

Hybrid

Experience Level

Senior

Salary/Compensations

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $132,000 and $209,000/year, with an expected On Target Earnings (OTE) between $147,000 and $232,000/year (including bonus or commission).

Benefits

Competitive compensation that may include equity
Equity grants of restricted stock (RSUs)
Retirement and Employee Stock Purchase Plans
Flexible paid time off
Comprehensive benefit plans covering medical, dental, vision, life, and disability
Family services that include fertility benefits and equal paid parental leave
Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
A curated in-office employee experience, designed to foster community, team connections, and innovation
Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
Employee Resource Groups that provide supportive communities within Braze
Collaborative, transparent, and fun culture recognized as a Great Place to Work®

About the Company

Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™.
Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses.
Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement.
From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
The company has been consistently recognized as a Leader in marketing technology by industry analysts.
Named a G2 “Best of Marketing and Digital Advertising Software Product” in 2026.
Named a 2026 Best Places to Work by Built In.
Named a 2025 America’s Greenest Companies by Newsweek.
Named a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®.
Proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.

Equal Opportunity

At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran.
If you hesitate to apply for a role unless you meet 100% of the criteria, we encourage you to apply, as we’d love to meet you.