<div class="content-intro"><p>Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing.</p></div><h2>The Opportunity at Altana</h2> <p>The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side.</p> <p>We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next.</p> <p> </p> <h2>You Will</h2> <h3><strong>Design and deploy agentic AI systems</strong></h3> <ul> <li>Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data</li> <li>Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within</li> <li>Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production</li> <li>Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment</li> <li>Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve</li> </ul> <h3><strong>Own technology implementation and delivery</strong></h3> <ul> <li>Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support</li> <li>Configure and deploy Altana's platform capabilities against real customer data and real customer workflows, resolving the gap between what the product does today and what this customer needs</li> <li>Build the connective tissue — API integrations, data handoffs, automations, and internal tooling — that makes an implementation work, using AI-assisted development to move quickly</li> <li>Drive implementations to a definition of done that includes adoption, not just deployment: the customer's team is using it, in their process, without us in the room</li> </ul> <h3><strong>Engage customers as a trusted technical partner</strong></h3> <ul> <li>Serve as the primary technical point of contact through implementation — running working sessions, demos, or technical deep dives with stakeholders from analyst to executive</li> <li>Elicit requirements from customers who often can't fully articulate them yet, and translate business problems into concrete technical scope</li> <li>Communicate credibly in both directions: explain platform behavior, data quality realities, and trade-offs to non-technical audiences, and represent customer constraints faithfully back to Altana</li> <li>Manage expectations, timelines, and scope with the directness that keeps large enterprise programs on track</li> </ul> <h3><strong>Coordinate across internal teams</strong></h3> <ul> <li>Orchestrate the internal effort behind each implementation, pulling in engineering, data science, product, and customer success at the right moments and keeping them aligned on a single plan</li> <li>Escalate and unblock: identify what only another team can solve, make the ask precisely, and follow it to resolution</li> <li>Feed field learning back into the product organization — patterns across customers, recurring friction, gaps worth building</li> <li>Build reusable playbooks, templates, and documentation so the next implementation is faster than the last</li> </ul> <h3><strong>Apply product management judgment</strong></h3> <ul> <li>Own the implementation roadmap for your accounts: sequence work by customer value and delivery risk, and make explicit calls about what ships now versus later</li> <li>Write clear requirements, specs, and acceptance criteria that engineering and data science can build against</li> <li>Prioritize against customer value delivery timelines and cooperate with the product team on milestones and deadlines</li> <li>Define what success looks like for each implementation in measurable terms, and track against it</li> </ul> <h2>You Have</h2> <ul> <li> 8+ years in customer-facing technical delivery — implementation, engineering, professional services, technical program management, or product management with hands-on scope</li> <li>A demonstrated track record of shipping complex technical projects with external stakeholders, on a real deadline, with real consequences</li> <li>Strong communicator and coordinator: you can run a customer working session in the morning and drive internal alignment across three teams in the afternoon</li> <li> Product instincts — you naturally ask what problem this actually solves and what the smallest thing that solves it is</li> <li>Comfortable with ambiguity and partial information; you make progress before the picture is complete</li