Staff Software Engineer, Go-to-Market Systems & AI
Hybrid (Bay Area, CA)$263.6k - $395.4kfull-timePosted 1mo ago
About the role
Staff-level engineer responsible for the go-to-market technology stack, including AI-powered automations and workflows to boost sales productivity and business performance. Owns architecture, long-term direction, and hands-on delivery across GTM systems, AI agents, and integrations.
Responsibilities
- Own the technical strategy, architecture, and long-term evolution of our go-to-market technology stack.
- Design, build, and operate production-grade AI agents and automated workflows that reduce manual sales work, improve decision-making, and give time back to sales teams.
- Lead technical execution across initiatives of varying sizes by setting direction, breaking down complex problems, reviewing designs, and helping engineers deliver high-quality solutions.
- Remain hands-on throughout the software lifecycle, from prototyping and architecture through implementation, testing, deployment, and production operations.
- Partner with Sales and Sales Strategy & Operations to understand workflows, identify high-value opportunities, and translate business problems into scalable technical solutions.
- Establish the patterns, evaluation methods, and guardrails needed to build AI systems that are reliable, observable, secure, and safe to use with sensitive business data.
- Define success measures and use data, evaluations, and user feedback to improve the accuracy, adoption, and business impact of new capabilities.
- Make thoughtful build-versus-buy decisions and guide integrations across internal platforms, customer relationship management systems, data services, and third-party tools.
- Build alignment with senior technical and business partners, communicate complex tradeoffs clearly, and raise engineering standards through mentorship and design reviews.
Qualifications
- A minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience.
- Experience setting technical direction and delivering complex, business-critical systems across multiple teams or functional areas.
- Experience designing, building, and operating production software that uses large language models, AI agents, tool calling, retrieval, workflow orchestration, or related technologies.
- A track record of moving AI capabilities from prototype to production, including evaluation, observability, security, reliability, and human oversight.
- An AI-native approach to engineering, using AI tools throughout development while applying sound judgment about when to use models, deterministic software, or human review.
- Strong software engineering and system-design skills, with the ability to work hands-on across application, service, integration, and data layers.
- Experience leading technical execution through influence, mentorship, architecture, and direct contribution, without relying on formal reporting authority.
- The judgment to navigate ambiguous problems, evaluate technical and business tradeoffs, and influence senior engineering and business partners.
- Familiarity with sales processes or go-to-market systems—such as lead management, opportunity management, forecasting, account planning, or customer relationship management platforms—is helpful but not required.
Skills
Required:Technical leadershipLarge language models / AI agentsSystem design
Benefits
- Remote work
- medical insurance
- flexible time off
- retirement savings plans
- modern family planning
- additional benefits listed on Block site
Last updated Sep 30, 2026. Interested? Apply on the company site.
About Block
Block builds technology to increase access to the global economy.
Made up of Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto, Block, Inc. builds technology to increase access to the global economy.
technologyfinancial servicesdigital paymentsmusic streaming
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