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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in technical strategy and architecture for AI systems, with a strong focus on building and operating production-grade solutions that enhance decision-making and reduce manual processes. Proven ability to lead cross-functional teams, mentor engineers, and drive the successful implementation of complex, business-critical systems.
Highest-signal resume keywords
Technical Strategy OwnershipAI Systems Design and OperationProduction Software DevelopmentCross-Functional Team LeadershipComplex Problem Solving
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Large Language ModelsAI AgentsWorkflow OrchestrationSystem DesignSoftware EngineeringData Layer IntegrationObservabilitySecurityReliabilityHuman Oversight
Soft Skills
MentorshipInfluenceJudgmentCommunicationCollaboration
Tools & Technologies
CRM SystemsData ServicesThird-Party ToolsPrototyping ToolsDeployment Tools
Industry Keywords
Go-To-Market SystemsSales ProcessesTechnical DirectionBusiness-Critical SystemsEvaluation Methods
About the role
Key responsibilities & impact- Own the technical strategy, architecture, and long-term evolution of the go-to-market technology stack.
- Design, build, and operate production-grade AI agents and automated workflows that reduce manual sales work and improve decision-making.
- Lead technical execution by setting direction, breaking down complex problems, reviewing designs, and helping engineers deliver high-quality solutions.
- Remain hands-on throughout prototyping, architecture, implementation, testing, deployment, and production operations.
- Partner with Sales, Sales Strategy & Operations, Product, Data, and Engineering leaders to translate business problems into scalable technical solutions.
- Establish patterns, evaluation methods, and guardrails for reliable, observable, secure, and safe AI systems.
- Define success measures and use data, evaluations, and user feedback to improve capability accuracy, adoption, and business impact.
- Make build-versus-buy decisions and guide integrations across internal platforms, CRM systems, data services, and third-party tools.
- Build alignment with senior partners, communicate technical tradeoffs, mentor engineers, and raise engineering standards through design reviews.
Requirements
What you’ll need- 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.
- Track record of moving AI capabilities from prototype to production, including evaluation, observability, security, reliability, and human oversight.
- 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 across application, service, integration, and data layers.
- Experience leading technical execution through influence, mentorship, architecture, and direct contribution, without relying on formal reporting authority.
- 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 is helpful but not required.
Benefits
Comp & perks- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning