NetBrain Technologies Inc.

Account Executive

• Help GSI/MSP and Fortune 500 companies transform network operations using automation and dynamic mapping
• Exceed assigned sales quotas and objectives
• Define and execute a territory business plan covering target accounts, productivity strategies, and pipeline development
• Engage at all levels of global organizations across IT and other lines of business
• Apply selling methodologies to maximize deal values and accelerate customer buying processes
• Provide accurate sales forecasting and activity reporting through Salesforce.com
• Leverage business development representatives and Sales Engineers to maximize account coverage and technology evangelism
• Balance current bookings with development of a long-term healthy pipeline
• Understand CIO priorities and the impact of digital transformation across lines of business
• Construct complex technical and commercial proposals
• Leverage partners to maximize penetration and scale in the target market

Strategic Account Executive

• Help GSI/MSP and Fortune 500 companies transform network operations using automation and dynamic mapping
• Exceed assigned sales quotas and objectives
• Define and execute territory business plans for target accounts, productivity strategies, and pipeline development
• Engage at all levels of global organizations across IT and other lines of business
• Apply selling methodologies to maximize deal values and accelerate customer buying processes
• Provide accurate sales forecasting and activity reporting through Salesforce.com
• Leverage BDRs and Sales Engineers to maximize target-account coverage and technology evangelism
• Balance current bookings with development of a long-term healthy pipeline
• Understand CIO priorities and the impact of digital transformation
• Construct complex technical and commercial proposals
• Leverage partners to maximize market penetration and scale

AI Engineer

• Design and implement core capabilities for an enterprise-grade Agent platform, including orchestration patterns such as ReAct, Plan-and-Execute, and Supervisor
• Implement tool execution, context and memory management, and safety guardrails
• Design Agent execution and governance mechanisms, including Human-in-the-Loop approval workflows, multi-tenant permission isolation, policy enforcement, and secure execution controls
• Build reusable Agent Skills, standardized tool interfaces, and a scalable tool ecosystem integrated with NetBrain platform capabilities and business workflows
• Design LLM post-training strategies, including domain-specific SFT, DPO/RLHF-based preference alignment, and LoRA fine-tuning
• Build self-learning feedback loops using production traces, user feedback, and evaluation results
• Analyze and optimize LLM behavior, including instruction following, tool calling, structured output generation, contextual understanding, reasoning stability, and hallucination mitigation
• Build LLM and Agent evaluation frameworks and automated regression pipelines
• Establish release quality gates and hallucination-detection mechanisms
• Build AI observability with distributed tracing, structured logging, metrics, dashboards, and alerting
• Diagnose and resolve production AI failures and unexpected model behavior changes
• Design reliable backend services with asynchronous and concurrent processing, retries, timeouts, caching, rate limiting, and fault isolation
• Optimize latency, throughput, token consumption, and infrastructure cost for platform SLA requirements
• Lead technical design for critical modules and system-level capabilities
• Collaborate with Engineering, Product, QA, and other teams to deliver production solutions
• Prototype, benchmark, and productionize emerging technologies such as GraphRAG, Knowledge Graphs, MCP, LLM post-training, and Agent self-learning
• Evaluate Agent frameworks and infrastructure and provide recommendations for platform architecture and product technology strategy

• Design and implement core capabilities for an enterprise-grade Agent platform, including orchestration patterns, tool execution, context and memory management, and safety guardrails
• Design Agent execution and governance mechanisms, including Human-in-the-Loop approval workflows, multi-tenant permission isolation, policy enforcement, and secure execution controls
• Build reusable Agent Skills, standardized tool interfaces, and a scalable tool ecosystem integrated with NetBrain platform capabilities and business workflows
• Design and implement LLM post-training strategies, preference alignment, and parameter-efficient fine-tuning techniques
• Build self-learning feedback loops using production traces, user feedback, and evaluation results
• Analyze and optimize LLM behavior, including instruction following, tool calling, structured outputs, contextual understanding, reasoning stability, and hallucination mitigation
• Build LLM and Agent evaluation frameworks, automated regression pipelines, quality gates, and hallucination-detection mechanisms
• Build AI system observability capabilities including distributed tracing, structured logging, metrics, dashboards, and alerting
• Diagnose and resolve production AI failures and unexpected model behavior changes
• Design reliable backend services for AI and Agent workloads with asynchronous processing, retries, timeouts, caching, rate limiting, and fault isolation
• Optimize latency, throughput, token consumption, and infrastructure cost for large-scale production workloads
• Lead technical design for critical modules and system-level capabilities
• Collaborate with Engineering, Product, QA, and other teams to deliver production solutions
• Prototype, benchmark, and productionize GraphRAG, Knowledge Graphs, MCP, LLM post-training, and Agent self-learning technologies
• Evaluate Agent frameworks and infrastructure and provide recommendations for platform architecture and product technology strategy

• Exceed assigned sales quotas and objectives
• Define and execute territory business plans for target accounts, productivity strategies, and pipeline development
• Engage stakeholders at all levels of global organizations across IT and other business lines
• Apply selling methodologies to maximize deal values and accelerate customer buying processes
• Provide accurate sales forecasting and activity reporting through Salesforce.com
• Leverage BDRs and Sales Engineers to expand account coverage and technology evangelism
• Balance current bookings with development of a long-term healthy pipeline
• Understand CIO priorities and the impact of digital transformation across business lines
• Construct complex technical and commercial proposals
• Leverage partners to maximize market penetration and scale
• Help GSI/MSP and Fortune 500 companies transform network operations using automation and dynamic mapping

Strategic Account Executive

Strategic Account Executive

AI Engineer

AI Engineer

Strategic Account Executive – New York Metro