ASAPP

HQ
New York
Total Offices: 3
389 Total Employees
Year Founded: 2014

Jobs at ASAPP

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Recently posted jobs

11 Hours AgoSaved
Hybrid
New York, NY, USA
Artificial Intelligence • Machine Learning • Natural Language Processing • Software
Lead the end-to-end internal IT function, covering identity and access management, endpoint/device management, AI platform and SaaS administration, security/compliance support, office infrastructure, automation, and a 4–5 person IT team. Partner with Security, HR, Finance, and Engineering on audits, incident response, and tooling rollouts while driving strategy and hands-on execution.
YesterdaySaved
Hybrid
2 Locations
Artificial Intelligence • Machine Learning • Natural Language Processing • Software
Own the platform connecting ASAPP's GenerativeAgent to the real world: API Connections, SDKs, A2A interoperability, MCP servers, telephony/CCaaS integrations, and developer documentation. Set strategy, roadmaps, prioritize work, work with engineering and customers, and define metrics and telemetry to measure outcomes.
5 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Machine Learning • Natural Language Processing • Software
Own and execute strategy and roadmap for the voice pipeline (ASR, TTS, streaming, latency, evals, model bets), manage vendor relationships and telephony integrations, prioritize features with customer-facing teams, define metrics and telemetry, and deliver measurable outcomes across voice experiences in enterprise contact centers.
7 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Machine Learning • Natural Language Processing • Software
Design, build, and own ML evaluation systems and production-grade NLP/LLM solutions. Translate research into scalable agentic AI systems, collaborate with Research/Product/Platform, ensure quality, safety, and performance, and mentor engineers.
17 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Machine Learning • Natural Language Processing • Software
As a Site Reliability Engineer, you'll enhance the performance and reliability of infrastructure and products by collaborating with engineering teams, automating configurations, and implementing monitoring systems.