28 days ago
Australia (city not specified)Staff+
Responsibilities
- Design, build, deploy, monitor, and improve agentic AI workflows using tools, function calling, automations, prompts, evaluations, and human-in-the-loop controls.
- Lead customer implementations through scoping, configuration, integration, validation, go-live, adoption, and handoff to support.
- Build API integrations, data handoffs, automations, and internal tooling against customer data and workflows.
- Serve as the primary technical point of contact for customer working sessions, demonstrations, technical discussions, requirements gathering, and expectation management.
- Coordinate engineering, data science, product, and customer success teams to unblock implementation work and feed customer insights into product development.
- Own implementation roadmaps, write requirements and acceptance criteria, prioritize delivery, and define measurable implementation success.
- Create reusable implementation playbooks, templates, and documentation.
Requirements
- 8+ years of customer-facing technical delivery experience in implementation, engineering, professional services, technical program management, or hands-on product management.
- Demonstrated experience shipping complex technical projects with external stakeholders under real deadlines.
- Strong communication, coordination, ambiguity-management, product judgment, and process-automation skills.
- Working proficiency in Python or a comparable language for reading code, writing and debugging scripts, building integrations, and shipping small features.
- Fluency with SQL and the ability to explore and validate data independently.
- Practical experience using AI-assisted coding tools such as Claude Code, Cursor, or Copilot.
- Hands-on experience building or deploying agentic AI systems, including LLM-powered agents, tool and function calling, retrieval-augmented generation, or multi-agent orchestration.
- Experience with prompt engineering, agent evaluation, agent frameworks or protocols such as MCP and LangChain, and integrations with external tools, APIs, and data sources.
- Familiarity with APIs, Swagger/OpenAPI, Git-based workflows, cloud-hosted systems, data pipelines, data modeling, and ML systems.
- Preferred qualifications include experience in global trade, supply chain, customs, trade compliance, enterprise software implementation at scale, Spark, Databricks, large-scale data processing, internal tooling, automation, or formal product management.
Benefits
- The role is based in Australia with flexibility to travel onsite to the Canberra hub location.
- Altana is an equal opportunity employer committed to a diverse and inclusive workplace.
Tech Stack
Categories
Solutions Engineering
About Altana
Altana builds an AI-powered network and software platform for global trade visibility and value chain management used by enterprises and governments. Its SaaS products connect importers, suppliers, logistics providers, and customs agencies to share data for compliance, classification, and supply chain risk. Founded in 2018 and headquartered in New York, Altana serves customers such as Maersk, Boston Scientific, L.L.Bean, U.S. Customs and Border Protection, and the UK Department for Business and Trade.