Product & Delivery Lead
Loamist
Product
Posted on Apr 22, 2026
The role
This role bridges technical implementation and end-user adoption by turning business processes into clear requirements, usable interfaces, measurable acceptance criteria, and structured rollout plans. The ideal candidate combines strong product judgment with hands-on experience in UX for operational software, integration-heavy QA, AI-enabled workflow design, and agile delivery leadership. This is a builder-operator role for someone who can structure ambiguity, keep teams aligned, and improve the quality of both human and AI-assisted workflows.
What success looks like
- •Define end-to-end user workflows, screen requirements, and exception-handling paths for a complex operations platform.
- •Own QA, UAT, and release readiness across integrated systems and AI-assisted features.
- •Translate business requirements into acceptance criteria, test plans, training materials, and status reporting.
- •Design evaluation approaches for LLM and agent-facing experiences — accuracy, usability, escalation behavior, and human review thresholds.
- •Keep delivery on track through strong sprint management, dependency tracking, and stakeholder communication.
Core responsibilities
Workflow Design, UX & Frontend
- •Design operational workflows and dashboards for process status, document review, exceptions, approvals, and downstream actions.
- •Create user experiences for reviewing AI-assisted outputs, comparing records, resolving discrepancies, and escalating edge cases.
- •Conduct workflow discovery with business users, validate assumptions, and iterate designs based on operational realities.
- •Prototype or implement frontend components using React, Vue, or Angular.
AI Product Design & Agent Experience
- •Define how AI and agentic workflows fit into the user journey — task framing, confidence signaling, fallback paths, and human-in-the-loop controls.
- •Partner with engineering to shape agent behavior, tool access, prompt strategy, and structured output requirements.
- •Use Claude Code, Codex, or similar agentic coding tools to accelerate prototyping, spec refinement, test generation, and defect triage.
- •Contribute to lightweight agent prototypes or workflow experiments around orchestration, user prompts, and exception routing.
QA, UAT & Evaluation
- •Own end-to-end testing strategy across integrated systems, business workflows, and AI-assisted features.
- •Write and execute test plans covering positive paths, negative paths, failure modes, data mismatches, and business rule exceptions.
- •Design and run evaluation plans for model outputs and agent behavior — groundedness, completion rate, error handling, escalation quality, and reviewer efficiency.
- •Use LM Evaluation Harness or similar approaches for repeatable benchmarks, regression tests, and release sign-off criteria.
- •Lead UAT with business stakeholders and translate feedback into prioritized fixes, design updates, and release decisions.
Delivery Management & Stakeholder Leadership
- •Run sprint planning, standups, retrospectives, backlog grooming, and cross-functional coordination.
- •Maintain project plans, risk logs, dependency management, and milestone tracking from discovery through go-live.
- •Own status updates, steering materials, and escalation management for internal and client stakeholders.
- •Lead training preparation, change management, and adoption support during rollout.
Required qualifications
- •4+ years in product, delivery, UX, QA, or program roles supporting B2B, enterprise, or operational software.
- •Strong experience designing workflow-heavy software and translating business processes into requirements, screens, and acceptance criteria.
- •Demonstrated QA leadership — test strategy, test script development, defect triage, and UAT coordination in integration-heavy environments.
- •Experience working on AI-enabled products or LLM-assisted workflows, especially where model outputs require human review or operational accountability.
- •Working knowledge of agentic coding tools such as Claude Code, Codex, or similar AI-native environments.
- •Experience defining evaluation plans for LLM features and agent performance.
- •Ability to run agile delivery cadences and communicate clearly with technical and non-technical stakeholders.
Nice to have
- •Hands-on frontend experience with React, Vue, or Angular.
- •Experience designing or product-managing agents, copilots, or AI-assisted workflow tools.
- •Familiarity with LM Evaluation Harness or equivalent frameworks for repeatable LLM benchmarking.
- •Experience in logistics, supply chain, trade finance, operations software, ERP-adjacent environments, or other process-intensive domains.
- •Strong facilitation skills for training, change management, and user adoption during go-live.
Interested in this role?
Compensation tailored based on employment model, experience, and demonstrated AI/LLM capability.