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Lead GTM intelligence and AI strategy for Revenue Operations: build AI/LLM-powered insight products, deploy an AI agent platform, translate CRM/usage/financial data into decision-grade outputs, partner with senior GTM leaders, and build a high-performing GTM Engineering team to operationalize AI across sales, marketing, and success.

The Senior Developer will enhance self-service experiences, drive product growth through experimentation, and collaborate with cross-functional teams for measurable outcomes.

The role involves developing, testing, and maintaining software systems, collaborating with cross-functional teams, and mentoring junior developers while ensuring high code quality.

The Sales Acceleration Manager will drive revenue by identifying market trends, managing a sales pipeline, and collaborating with cross-functional teams to optimize sales strategies and customer experiences.

The Staff Developer will focus on building self-serve experiences, leading technical initiatives, and ensuring scalable growth capabilities across teams at 1Password.

As a Senior Developer in Partnership Engineering, you'll design integration patterns, build tooling for partnerships, and lead technical designs for complex integrations.

The Staff BPM in Platform & Product Engineering at 1Password is responsible for managing operational rhythms, ensuring alignment across engineering teams, and improving planning processes, utilizing AI tools for efficiency.

The Director of Product Management - Identity will lead strategy for identity integration, ensuring security and management of identities at enterprise scale.

Own product strategy and roadmap for Developer Workflows within Developer & AI. Partner with engineering, design, and GTM to define Unified Access and Developer Watchtower, set OKRs and success metrics, drive cross-company initiatives, represent the product to enterprise executives, and mentor adjacent PMs while balancing long-term vision and near-term execution.

Lead organization-level architecture and technical direction for product engineering. Design and operate scalable, secure distributed systems and platform patterns, integrate AI safely into customer-facing products, improve reliability/observability, and drive cross-team alignment and long-term engineering sustainability.