Staff Software Engineer, Go-to-Market Systems, AI

This is a fully remote position, open to applicants in California.

📋 Description

• Take ownership of the technical strategy, architecture, and long-term advancement of the go-to-market technology stack.

• Design, develop, and manage production-grade AI agents and automated workflows that minimize manual sales tasks, enhance decision-making, and free up time for sales teams.

• Spearhead technical execution across various initiatives by providing direction, deconstructing complex issues, reviewing designs, and assisting engineers in delivering high-quality solutions.

• Stay actively involved throughout the software lifecycle, from prototyping and architectural design to implementation, testing, deployment, and production operations.

• Collaborate with Sales and Sales Strategy & Operations teams to comprehend workflows, pinpoint high-value opportunities, and convert business challenges into scalable technical solutions.

• Develop patterns, assessment methods, and guidelines for creating reliable, observable, secure, and safe AI systems that utilize sensitive business data.

• Establish success metrics and leverage data, evaluations, and user feedback to enhance accuracy, adoption, and overall business impact.

• Make decisions on build versus buy and oversee integrations among internal platforms, customer relationship management systems, data services, and external tools.

• Foster alignment with senior technical and business partners, articulate complex trade-offs, and elevate engineering standards through mentorship and design reviews.

⛳️ Requirements

• A minimum of 12 years of relevant experience with a Bachelor’s degree; or 8 years with a Master’s degree; or a PhD with 5 years of experience; or equivalent qualifications.

• Proven experience in setting technical direction and delivering intricate, business-critical systems across multiple teams or functional areas.

• Experience in designing, building, and operating production software that utilizes large language models, AI agents, tool calling, retrieval, workflow orchestration, or similar technologies.

• A demonstrated history of transitioning AI capabilities from prototype to production, encompassing evaluation, observability, security, reliability, and human oversight.

• An AI-native engineering mindset, employing AI tools throughout development while exercising sound judgment regarding the application of models, deterministic software, or human review.

• Strong software engineering and system design capabilities, with a hands-on approach across application, service, integration, and data layers.

• Experience in leading technical execution through influence, mentorship, architecture, and direct contributions, without relying on formal reporting authority.

• The ability to navigate ambiguous challenges, assess technical and business trade-offs, and influence senior engineering and business stakeholders.

• Familiarity with sales processes or go-to-market systems—such as lead management, opportunity management, forecasting, account planning, or customer relationship management platforms—is advantageous but not mandatory.

🏝️ Benefits

• Remote work

• Medical insurance

• Flexible time off

• Retirement savings plans

• Modern family planning