Founding Product Delivery Engineer

The OpportunityAspen AI provides an AI communication platform for the legal industry. Our “AI Employees” engage with leads and clients by phone, text, and email, and automate the workflows law firms use to acquire, convert, and manage clients.You’ll own AI Employee deployments end to end, from discovery through go-live and long-term performance. This is a technical, customer-facing role, not a traditional software engineering position. You’ll work across customers, Product, and Engineering to understand problems, architect rollouts, configure and test Aspen, drive integrations to completion, and make sure Aspen works successfully inside each customer’s business.What You’ll OwnCustomer Discovery: Lead requirements-gathering conversations to understand customer operations, pain points, and goals. Ask questions that uncover the real problem, not just the solution they think they need.Product Rollouts: Turn customer needs into phased deployment plans that deliver value early and expand incrementally.Configuration & Quality: Build customer accounts and AI Employees for Aspen, configure workflows and behavior, test deployments thoroughly, audit customer calls, and validate new features to ensure Aspen performs reliably in the real world.Technical Onboarding: Lead the implementation process across customer CRMs, contact center software, telephony systems, and other tools. Coordinate our integration engineers and customer technical teams, troubleshoot issues, and drive every dependency through completion.Customer Success: Remain the primary point of contact after launch. Monitor performance, meet regularly with customers, identify problems and new opportunities, and continuously expand how they use Aspen.Problem Solving & Tradeoffs: Find the best solution to customer problems while balancing impact, time, complexity, and resources on their side and ours.Product Requirements: Translate unmet customer needs into clear product requirements and help prioritize them with our product team.Playbooks & Scale: Turn what works across deployments into repeatable processes, templates, documentation, and product improvements so each deployment becomes faster and better than the last.RequirementsBachelor’s degree in Computer Science, Mathematics, Engineering, or a related technical field.1-3+ years of experience in solutions, implementation, product, consulting, or another customer-facing technical role.You’re comfortable working with technical systems and learning how software fits together.You can understand APIs, integrations, data flows, and configuration well enough to work effectively with engineers and solve customer problems. (Coding is not required.)Strong academic record from a rigorous undergraduate program.PreferredHands-on experience with LLMs, conversational AI, prompts, conversational flows, or model evaluation.Experience administering or configuring CRM, contact center, telephony, or workflow automation software.Strengths We Look ForWe’ll ask for a real example of each.You push projects over the finish line, especially when they stall.You juggle many priorities at once and make well-informed decisions about what comes first.You dig past the first explanation of a problem to identify and solve its root cause.You reach for the simplest solution that works, often by using what already exists creatively rather than building something new.You communicate plainly with customers, engineers, and leadership, both in writing and on calls. You can present a plan to decision-makers and defend your reasoning.You take feedback well and apply it quickly.DisclaimerThis is an intense role, not a traditional 9-to-5 job. In one week, you might lead a requirements call, design a rollout, configure AI Employees, audit calls, and test a feature before it ships. The role may occasionally require evenings or weekends around go-lives and travel to customer sites. If you want to shape how autonomous AI joins the workforce, starting with the legal industry, we’d love to hear from you.