Altana

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

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

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

5 Days AgoSaved
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Artificial Intelligence • Machine Learning • Software
The Account Executive will drive enterprise software sales to logistics service providers, including prospecting, relationship building, sales-cycle management, forecasting, and pipeline development. Responsibilities include managing logistics accounts, selling across IT, procurement, transportation, and supply chain functions, gathering customer feedback, and partnering with product, marketing, and account management teams. The role requires travel, strong presentation skills, logistics industry knowledge, and a proven $1M+ annual quota track record.
9 Days AgoSaved
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Hybrid
3 Locations
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Artificial Intelligence • Machine Learning • Software
Own the full enterprise SaaS sales cycle, from prospecting and executive engagement through closing six- and seven-figure deals. Build account strategies, develop pipeline, and advise procurement, supply chain, sustainability, and compliance leaders. Apply supply chain consulting expertise to map customer challenges to Altana’s AI-powered platform. Partner with sales engineers on demonstrations and collaborate with account management and implementation teams to support successful handoffs and account growth.
9 Days AgoSaved
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Hybrid
2 Locations
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Artificial Intelligence • Machine Learning • Software
Lead a small engineering team in building AI-native products from customer discovery through production and adoption. Partner with product and design, run hypothesis-driven experiments, engage directly with users, and own architecture, instrumentation, quality, and telemetry. Mentor engineers, set technical standards, deliver incremental releases, and make pragmatic decisions that connect engineering work to customer outcomes.