Senior Technical Product Manager (AI Localization)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Technical Product Manager (AI Localization): Building an AI-powered translation infrastructure and self-serve content localization platform with an accent on technical product ownership, human-in-the-loop review workflows, and cross-functional adoption. Focus on designing multi-platform systems, validating prototypes with code, making build-versus-buy decisions, and solving complex quality, scalability, and stakeholder alignment challenges.
Location: San Francisco, United States; hybrid ways of working
Salary: $148,000–$231,000 per year base compensation; expected OTE is $164,000–$257,000 per year, including bonus or commission.
Company
is a customer engagement SaaS platform that helps brands deliver personalized cross-channel messaging, journey orchestration, and AI-powered marketing experiences.
What you will do
- Own the roadmap and architecture decisions for the internal localization infrastructure product.
- Partner closely with engineers to design and ship multi-platform systems for evolving localization needs.
- Build functional prototypes independently to validate concepts and clarify requirements.
- Design self-serve workflows that reduce reliance on centralized request queues.
- Drive adoption of AI-assisted translation while maintaining quality and consistency through targeted human review.
- Manage translation and localization vendors and make informed build-versus-buy decisions.
Requirements
- Senior-level technical product management, solutions architecture, solutions consulting, engineering, localization, or content operations experience.
- Strong product instincts and the ability to architect multi-platform systems and evaluate long-term design tradeoffs.
- Deep familiarity with headless CMS architecture and experience building simple web applications or functional prototypes.
- Working knowledge of Node, TypeScript, modern web frameworks, and AI development tools such as Claude Code or Cursor.
- Ability to collaborate directly with engineers, pair on problems, make technical decisions, and manage cross-functional stakeholders.
- Curiosity about AI-enabled workflows and an iterative approach focused on shipping, learning, and improving.
Nice to have
- Localization experience, including tools, workflows, vendor relationships, and platforms such as Phrase.
- Sanity experience.
- Experience developing defensible frameworks for determining when human review is required.
Culture & Benefits
- Hybrid work environment with a curated in-office experience focused on connection and collaboration.
- Flexible paid time off and comprehensive medical, dental, vision, life, and disability benefits.
- Retirement and employee stock purchase plans, equity eligibility, and family services including fertility benefits and equal paid parental leave.
- Professional development through career pathing, learning platforms, and an annual learning stipend.
- Employee resource groups, volunteer opportunities, donation matching, and an inclusive workplace culture.
Hiring process
- Applications may be reviewed with AI-assisted screening and administrative tools.
- Recruiting teams remain involved in hiring decisions, with options for manual review or opting out of AI-assisted review depending on location.
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