Solutions Engineer - North America

Solace CorporationNew York, NY
Hybrid

About The Position

Enterprise AI is moving from pilots to production, and the constraint is no longer the model — it's the data. Agents are only as good as what they can sense, trust, and act on in the moment, and real-time, event-driven data is becoming the foundation every serious AI system runs on. Solace is the leading platform for the enterprise AI era. Established enterprises worldwide — including RBC Capital Markets, Bosch, Heineken, PSA Singapore, United Airlines, Schwarz Group, and hundreds more — have built their business around Solace to enable intelligent, real-time experiences, modernize their application and integration landscape, and create seamless digital journeys for their customers, partners, and employees. So, the next time you drive a car, order furniture online, fly in a plane, check your bank balance on your phone, your positive experience could be a direct result of our technology—and your hard work!

Requirements

  • 5+ years in a technical sales or solutions engineering role, selling complex enterprise software solutions.
  • Strong ability to lead technical evaluations and effectively communicate business impact.
  • Excellent presentation, communication, and relationship-building skills.
  • Willingness to travel (up to 35%).
  • Experience with event-driven architecture, messaging, or event streaming platforms (e.g., Solace PubSub+, Kafka, RabbitMQ, NATS, or MQTT brokers).
  • Familiarity with agentic AI frameworks, LLM orchestration, and multi-agent systems (e.g., LangChain, Google ADK, CrewAI, AutoGen, or similar).
  • Working knowledge of A2A (Agent-to-Agent) and MCP (Model Context Protocol) communication patterns is a strong plus.
  • Familiarity with cloud environments (AWS, Azure, GCP) and Kubernetes.
  • Hands-on experience with APIs, microservices, and application integration patterns.
  • Ability to design and lead technical workshops, demos, and proof-of-concept implementations.

Nice To Haves

  • Experience with event-driven architectures, streaming, or messaging middleware.
  • Exposure to agentic AI, LLM application development, or multi-agent orchestration platforms.
  • Programming knowledge in Java, Python, Go, or JavaScript.
  • Familiarity with enterprise IT environments, including security, networking, and compliance considerations.

Responsibilities

  • Partner with Account Executives to qualify opportunities, shape account strategies, and drive deals to closure.
  • Educate customers on the value of event-driven architecture and agentic AI, challenging them to think bigger about their real-time data and AI strategy.
  • Guide customers on industry best practices, integration patterns, and modernization strategies — including the convergence of Event Driven Architectures and multi-agent AI systems.
  • Build and nurture deep relationships with technical and business stakeholders, turning users into advocates for Solace.
  • Conduct on-site visits, regular check-ins, and discovery sessions to stay aligned with evolving customer needs.
  • Translate Solace's expanding platform capabilities — from the Solace Event Broker to Agent Mesh — into outcomes customers care about.
  • Lead impactful demonstrations, Proof of Concepts (PoCs), and Proof of Value (PoVs) that resonate with customer objectives.
  • Architect solutions that showcase the business impact of Solace's event-driven and agentic AI platform.
  • Own and streamline the evaluation process, guiding prospects through workshops, hands-on trials, and technical validations.
  • Demonstrate deep command of core EDA concepts and patterns, including publish/subscribe messaging, event sourcing, CQRS (Command Query Responsibility Segregation), event streaming, and choreography vs. orchestration — applying these patterns to solve real customer architectural challenges.
  • Articulate the strategic business value of EDA to executive and technical audiences alike — connecting real-time event streaming to tangible outcomes such as reduced time-to-insight, operational resilience, accelerated digital transformation, and the ability to scale AI-powered applications on a live data fabric.
  • Confidently position Solace Event Brokers against competing messaging and streaming technologies — including Apache Kafka, IBM MQ, RabbitMQ, and cloud-native brokers — articulating where Solace’s multi-protocol support, hybrid/multi-cloud event mesh, enterprise-grade QoS, and dynamic topic routing create clear differentiation.
  • Challenge customers to evolve beyond request/response and batch architectures, guiding them through an EDA maturity model — from point-to-point integration and basic messaging to a fully distributed, event-driven enterprise capable of supporting real-time AI and autonomous systems at scale.
  • Position Solace Agent Mesh Enterprise as the production-grade foundation for agentic AI — bridging event-driven infrastructure with LLM orchestration and multi-agent workflows.
  • Demonstrate how Agent Mesh extends customers' existing Solace Event Mesh investment into agentic AI, reducing time-to-production for AI initiatives.
  • Articulate the platform's horizontal scalability, fault-tolerant asynchronous messaging, and governance capabilities to both technical teams and executive stakeholders.
  • Engage use cases across industries — financial services, manufacturing, logistics, healthcare — where real-time event triggers drive autonomous AI agent actions.
  • Stay ahead of trends in event-driven architecture, agentic AI, cloud computing, messaging, and microservices.
  • Engage both technical teams and executive leadership, bridging the gap between technology and business outcomes.
  • Confidently position Solace in competitive landscapes, articulating differentiation and ROI across PubSub+ and Agent Mesh.
  • Provide customer-driven insights to influence product roadmap decisions.
  • Work cross-functionally with Sales, Customer Success, Professional Services, Product, and Engineering to ensure customer success.
  • Serve as a field voice for Agent Mesh adoption, feeding real-world use cases and objections back to product and GTM teams.

Benefits

  • Flexibility is built into how we work, so everyone feels included and empowered.
  • Training programs are designed to help you level up, fast.
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