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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in post-sales solution delivery, including implementation planning, architecture design, and operational optimization for AI workflows. Proven ability to lead technical teams, establish quality standards, and manage complex integrations across enterprise environments.
Highest-signal resume keywords
Post-Sales Solutions EngineeringPython ProgrammingAPI IntegrationAutomation/Agentic-AI SystemsEnterprise Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaScriptTypeScriptAPIsCloud EnvironmentsSystem IntegrationAutomationAgent OrchestrationData PipelinesModel Behavior Diagnosis
Soft Skills
Excellent CommunicationExecutive PresenceBuilder's MindsetJudgmentTeam Leadership
Tools & Technologies
SAPOracleWorkdayServiceNow
Industry Keywords
Customer SuccessOperational RolloutChange ManagementSecurity and ComplianceEnterprise Operations
Tech Stack
Tools & technologiesCloudJavaScriptOraclePythonServiceNowTypeScript
About the role
Key responsibilities & impact- Own post-sales solution delivery from implementation planning and paid pilots through production rollout, stabilization, and continuous optimization
- Turn complex operational processes into technical plans, success criteria, milestones, and production-ready architectures
- Establish testing, release management, monitoring, incident response, and escalation practices for business-critical AI workflows
- Lead architecture and integrations with SAP, Oracle, Workday, ServiceNow, email, documents, and customer data environments
- Set standards for AI agent quality, evaluations, accuracy, observability, exception handling, human oversight, security, and performance improvement
- Diagnose model behavior, context issues, APIs, data pipelines, and complex integration failures
- Partner with Account Management and Customer Success to increase agent utilization, operational adoption, customer value, and multi-use-case deployment
- Enable customer technical teams and builders through managed, hybrid, and self-service delivery models
- Develop reusable solutions and repeatable patterns for workflows, business units, and customers
- Recruit, coach, and scale post-sales Solutions Engineers
- Build playbooks, reference architectures, implementation standards, delivery metrics, and team operating rhythms
- Manage capacity, priorities, and senior technical coverage across strategic enterprise accounts
- Serve as senior technical sponsor for strategic enterprise customers and build trust with IT, operations, and executive stakeholders
- Translate field challenges into priorities for Product and R&D
- Establish technical enablement and quality standards for implementation partners
Requirements
What you’ll need- 7+ years in customer-facing technical roles, including 5+ years building or leading post-sales Solutions Engineering, Forward Deployed Engineering, technical Professional Services, or similar teams
- Strong hands-on skills in Python and/or JavaScript/TypeScript, APIs, cloud environments, enterprise architecture, and system integration
- Real-world experience delivering Automation/Agentic-AI/LLM systems into production, including agent orchestration, evaluations, monitoring, failure modes, and human-in-the-loop workflows
- Track record of navigating enterprise complexity, including security and compliance, data readiness, cross-functional dependencies, change management, and operational rollout
- Executive presence and excellent communication skills, with ability to translate between business outcomes and deep technical details
- Builder’s mindset and judgment to balance speed with production quality in an early-stage company
- Exposure to finance, procurement, supply chain, or enterprise operations is a plus
- Must be currently authorized to work in the country in which applying
- Resume required with application
