• Partner with Sales Teams: Understand customer missions, strategic priorities, and constraints through short discovery sessions. • Map Capabilities: Translate business needs into platform capabilities, tailoring messaging for different personas (CIO, CTO, Chief Data Officer, program leads, technical practitioners). • Identify Value: Pinpoint high-leverage automation and decision points where agentic AI can create immediate, visible value, translating ambiguous problems into clear user journeys and agent responsibilities. • Rapid MVP Build: Design and implement end-to-end agentic AI MVPs, including multi-agent orchestration, tool use, memory, Model Context Protocol (MCP) servers, and agent observability. • Define key technical requirements, recommend deployment models meeting specific security mandates, and advise on data readiness to ensure quick time-to-value for new and expansion opportunities. • Build intuitive, enterprise‑grade UIs using React and modern design systems (e.g., shadcn/ui) to communicate agent behavior transparently. • Deliver engaging live demos that tell a clear story: problem → agentic solution → business impact. • Act as a technical pillar across the sales team, supporting Account Executives, Strategic Account Directors, and BDRs with knowledge and assets that advance AI adoption. • Iterate rapidly based on customer feedback during pilots, workshops, or proofs of value (POVs).

• Confidently articulate the business and technical value of Neo4j to customers and prospects as a key technical advisor and advocate for our products and services • Actively drive and run the technology evaluation stage of the sales cycles. • Work across a number of opportunities in parallel and manage day-to-day activities such as opportunity qualification, technical discovery, presentations, platform and use case demonstrations, proof of value, sizing, and documentation of technical decision criteria. • Build and nurture rapport with customer stakeholders at all levels and be the trusted advisor to them to help them understand what they can achieve with Neo4j. • Co-create reference and solution architectures with our customers, including integrating Neo4j with their existing architecture and applications within a public cloud (AWS, Azure, or GCP) or on-premise environment. • Stay current on latest Neo4j capabilities, including but not limited to usage and integration with third-party tools and services. • Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing, and Sales. • Help drive demand through the participation in account-based marketing events as well as industry-known conferences and trade shows. • Lead by example and actively foster an environment of teamwork, transparency, creativity, and continuous improvement. • Travel as needed to assist in deal creation and closure, and provide support to your team as required.

Role Description We're looking for a Solutions Engineer to join our R&D team and own that translation layer between the customer and the platform. You'll take complex, real-world customer Standard Operating Procedures (SOPs) and turn them into precise, custom workflows inside our core system. What You'll Do - Partner Across Customers and Internal Teams: - Work closely with onboarding, operations, account management, and product to gather requirements. - Clarify ambiguity in customer SOPs. - Validate that configured workflows reflect real operational intent. - Serve as the bridge between what a customer says they need and how the platform delivers it. - Translate Customer SOPs into Intelligent Workflows: - Take detailed, often complex customer SOPs and parse them into highly accurate, custom workflows. - Build and maintain the JSON-defined workflow diagrams that specify all business rules for a customer. - Own the accuracy and completeness of these configurations end to end. - Configure Field & Mobile Driver Workflows: - Configure the mobile workflows that guide drivers through customer-specific activities in the field. - Ensure that every required step is presented correctly and in the right sequence. - Maintain, Test, and Evolve Configurations: - Rigorously test and validate workflows before they go live. - Iterate as customer requirements change over time. - Catch edge cases before they become field problems. - Continuously improve the reliability of the configurations you own. - Build for Scale and Reuse: - Identify common patterns across customers and verticals. - Design reusable workflow components and templates. - Help shape the tooling, standards, and best practices for faster and more reliable workflow configuration. - Measure and Drive Workflow Impact: - Own the metrics that prove your configurations are working as intended. - Track adherence to workflows and surface discrepancies. - Drive up the share of orders that run on auto-pilot. - Monitor service levels across orders governed by Task Workflows. Qualifications - 2–4+ years of experience in solutions engineering, implementation, systems configuration, business analysis, or a comparable role. - A proven background taking complicated SOPs and parsing them into actionable process flow diagrams or structured workflows. - Exceptional organization and attention to detail. - Experience governing processes that encourages adoption without proliferation. - Comfort working with structured data and configuration logic (e.g., JSON, rules engines). - Strong communication and requirements-gathering skills. - Familiarity with process-mapping tools (e.g., BPMN, Lucidchart, Visio) is a plus. - Logistics, supply chain, or operations experience preferred but not required. - Bachelor's degree in a related field, or equivalent practical experience. Requirements - Independently own end-to-end workflow configuration for new customer onboardings. - Deliver accurate, on-time workflow and mobile configurations with minimal field defects. - Establish a plan to increase company autopilot KPIs. - Dramatic increases in autopilot metrics across all sectors. Benefits - Salary range: $88K-$115K. - High-quality health, dental, and vision plan options. - Open PTO. - 401K with company match. Company Description Airspace is a tech-enabled freight forwarder that’s redefining how the world’s most critical packages are delivered. Our proprietary AI-powered platform is the most advanced of its kind, providing speed, reliability, and transparency unrivaled in time-critical logistics.

• Lead the design and implementation of backend services and platform capabilities that support large‑scale, data‑rich applications. • Own projects end‑to‑end from technical design through implementation, testing, deployment, and ongoing reliability. • Partner with product, data science, and clinical teams to turn complex requirements into simple, robust solutions. • Design and build scalable backend systems that ingest, process, and serve high‑volume health data. • Lead technical initiatives that improve data reliability, observability, and end‑to‑end system performance. • Drive architecture decisions for integrations with third‑party data sources and APIs. • Improve system resilience and data quality, ensuring correctness in clinically relevant workflows. • Mentor engineers and elevate engineering standards through design reviews, testing practices, and operational excellence. • Contribute to roadmap planning, breaking down ambiguous problems into clear, actionable engineering work.