Sales Engineer - Agentic Software Solutions

We are looking for a technically strong and commercially capable Sales Engineer to help enterprise customers understand, evaluate, and adopt agentic software solutions. This hands-on role spans customer discovery, solution design, demonstrations, technical validation, commercial scoping, and implementation handover. You will work directly with prospective and existing customers across New Zealand, Australia, the United States, and the United Kingdom. As part of a lean team, you will own opportunities, build trusted customer relationships, identify valuable use cases, shape solutions, and help move customers from initial conversation through to deployment. You will work closely with the founders, product team, and forward deployed engineers to ensure proposed solutions are technically credible, commercially viable, and aligned with customer needs. Lead conversations with prospective and existing customers Understand customer priorities, business processes, technical environments, constraints, and desired outcomes Identify high-value opportunities for agentic AI, workflow automation, decision support, and intelligent software Facilitate technical discovery sessions, workshops, architecture discussions, and solution reviews Translate ambiguous customer problems into clear use cases, requirements, and next steps Build trusted relationships with technical, operational, commercial, and executive stakeholders Maintain momentum and clear communication throughout the customer journey Design agentic solutions involving planning, reasoning, memory, retrieval, tool use, approvals, and human-in-the-loop workflows Create solution architectures connecting agentic systems with enterprise applications, APIs, data sources, and knowledge platforms Recommend appropriate model providers, deployment approaches, integration patterns, and governance controls Design model-agnostic solutions using commercial and open-source model providers Explain trade-offs involving quality, latency, reliability, cost, privacy, security, data residency, and vendor dependency Collaborate with forward deployed engineers to validate feasibility, effort, risk, and delivery approach Ensure proposed solutions are practical, secure, scalable, and achievable Demonstrations and technical evaluation Build and deliver tailored demonstrations and lightweight prototypes for customer-specific use cases Configure agentic workflows using LangGraph and related AI orchestration technologies Demonstrate tool calling, retrieval, reasoning, memory, integrations, approvals, and automated actions Adapt demonstrations for technical and non-technical audiences Explain agent behaviour, limitations, controls, evaluation methods, and deployment considerations Scope and lead proofs of concept, pilots, and technical evaluations Define objectives, success criteria, responsibilities, timelines, dependencies, and expected outcomes Identify technical risks, blockers, and integration challenges early Evaluate whether proposed use cases are technically feasible and commercially worthwhile Commercial ownership and enterprise delivery Shape proposals, statements of work, pricing assumptions, delivery plans, and implementation scopes Estimate technical effort, integration complexity, delivery risk, and ongoing support requirements Work with founders and leadership to progress opportunities and agree commercial terms Connect product capabilities to measurable customer value and business outcomes Identify opportunities to expand successful deployments into additional workflows, teams, or business units Design integrations with enterprise applications, APIs, databases, and knowledge platforms Advise on authentication, authorisation, permissions, access controls, and delegated actions Support technical due diligence, architecture reviews, security assessments, procurement, and security questionnaires Explain data handling, model-provider interaction, auditability, deployment options, and operational safeguards Product and market feedback Act as a direct link between customers, product, engineering, and leadership Capture recurring customer requirements, technical objections, product gaps, and integration needs Provide structured feedback that influences product priorities and roadmap decisions Identify reusable workflows, integrations, and implementation patterns Share lessons from customer conversations, evaluations, deployments, and lost opportunities Help develop industry-specific use cases, reference architectures, and go-to-market approaches What we are looking for Experience in sales engineering, solutions consulting, solutions architecture, technical consulting, implementation consulting, or a similar customer-facing role Strong understanding of software architecture, APIs, cloud platforms, data systems, and enterprise integrations Practical knowledge of large language models, agentic AI, workflow orchestration, retrieval, tool calling, and multi-agent systems Familiarity with LangGraph, LangChain, LangSmith, or comparable agent-development platforms Ability to lead customer conversations without relying on a separate salesperson Strong commercial judgement and an ability to recognise valuable, achievable customer opportunities Ability to explain complex technical concepts clearly to technical and non-technical audiences Strong discovery, presentation, demonstration, workshop facilitation, and stakeholder-management skills Confidence working with engineers, architects, security teams, business leaders, and executives Excellent written and verbal communication skills Willingness to work across international time zones and travel periodically Technical experience Candidates should have experience across several of the following areas: Agentic AI, multi-agent systems, LangGraph, and graph-based agent orchestration OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock, and open-source model providers REST APIs, GraphQL, webhooks, SDKs, and enterprise integration patterns AWS, Microsoft Azure, or Google Cloud Retrieval-augmented generation, vector databases, embeddings, and semantic search OAuth, service accounts, API keys, and role-based access controls Monitoring, tracing, evaluation, and observability for AI systems Enterprise security, privacy, governance, and compliance requirements The role does not require the same depth of coding as a senior software engineer, but you must be technically credible and comfortable configuring, demonstrating, troubleshooting, and discussing sophisticated software solutions. What success looks like Within your first six months, you will: Build strong relationships with prospective and existing customers Lead customer discovery without requiring a separate account executive Identify technically feasible and commercially valuable agentic use cases Deliver compelling customer-specific demonstrations and prototypes Progress opportunities from initial discussion through technical validation and commercial scoping Reduce technical uncertainty and implementation risk before delivery begins Create clear handovers for forward deployed engineering and implementation teams Provide valuable product and market feedback based on direct customer engagement Contribute to new customer acquisition, customer expansion, and revenue growth Working style Enjoys owning customer relationships and technical opportunities Is comfortable operating without a large, specialised sales organisation Can move between business value, solution architecture, product demonstrations, commercial discussions, and detailed technical conversations Is proactive and does not wait for opportunities to be fully defined Can simplify complexity without losing technical accuracy Takes ownership from the first customer conversation through implementation handover Balances customer advocacy with technical reality and commercial viability Communicates clearly, manages expectations, and raises risks early Enjoys working in a lean, fast-moving environment Location and travel Wellington is preferred, with other locations expected to open in the future. The role supports customers across New Zealand, Australia, the United States, and the United Kingdom. You should be comfortable working across international time zones, with reasonable flexibility for customer meetings, demonstrations, workshops, and technical evaluations. Periodic domestic and international travel may be required. Ready to help enterprise customers turn agentic AI opportunities into practical solutions? #J-18808-Ljbffr