Altana

HQ
New York
Total Offices: 4
228 Total Employees
Year Founded: 2018
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Altana Offices

Altana is headquartered in New York and has 4 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible

U.S. Office Locations

HQ New York Boston San Francisco Washington
HQ

New York

25 Kent Avenue, New York, NY, United States, 11249

Boston

1 Beacon St , Boston, MA, United States, 02108

San Francisco

San Francisco, California , United States

Washington

801 18th Street, NW Suite 400, Washington, DC, United States, 20006

Recently posted jobs

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Altana

Senior Product Manager, LSP Platform

14 Days AgoSaved
Easy Apply
Hybrid
3 Locations
Easy Apply
Artificial Intelligence • Machine Learning • Software
Own the roadmap for Altana’s LSP Platform, developing products for freight forwarders, customs brokers, carriers, and 3PLs. Define priorities, success metrics, and customer outcomes; conduct discovery and pilots; improve workflows for brokers and compliance teams; and partner with engineering, design, data science, and go-to-market teams. The role requires technical product management across APIs, integrations, data-intensive workflows, and AI-enabled experiences.
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Altana

Senior Staff Machine Learning Engineer

14 Days AgoSaved
Easy Apply
Hybrid
4 Locations
Easy Apply
Artificial Intelligence • Machine Learning • Software
Leads the technical direction, architecture, and roadmap for agentic machine learning systems processing global trade data. Builds ingestion, document understanding, entity resolution, inference, evaluation, observability, and feedback systems. Adapts and post-trains LLMs, ships production AI agents, mentors engineers, sets technical standards, and partners with product, engineering, data science, and customers to deliver risk, compliance, and enforcement capabilities.
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Altana

Staff Machine Learning Engineer

14 Days AgoSaved
Easy Apply
Hybrid
4 Locations
Easy Apply
Artificial Intelligence • Machine Learning • Software
Lead the technical direction and development of production machine learning and agentic systems for global trade risk, compliance, and enforcement. Responsibilities include designing data-to-decision pipelines, adapting and post-training LLMs, building evaluation and observability systems, improving model performance, mentoring engineers, and partnering with product, customers, and cross-functional teams to ship AI capabilities.
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