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Product Manager, Bay Area at Nexla - ApplyBlast

Product Manager, Bay Area

Nexla

4 months ago

3.7 on Glassdoor

San Mateo, California, United States

Onsite

Full Time

Senior

1 applicant

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About this role

Nexla is seeking a customer-first Product Leader to drive execution for their AI-native integration platform, acting as the connective layer between leadership vision and engineering implementation. This non-traditional role requires a technical fluency in APIs and distributed systems to partner with leadership, synthesize market signals, and prototype workflows to accelerate product discovery. Ideal candidates thrive in ambiguity and possess a founder-like mentality to coordinate cross-functional teams during rapid organizational evolution.

Responsibilities

Partner with leadership and engineering to translate product vision into execution
Work directly with customers to understand workflows and emerging AI use cases
Drive product discovery through customer conversations and rapid validation
Prototype workflows and AI-native interactions to accelerate learning
Coordinate product releases across engineering, GTM, and marketing teams

Skills

Qualifications

4-8 years of experience in Product ManagementStrong technical fluency in APIs and distributed systemsExperience with AI-native workflows or conversational interfacesTrack record of turning customer problems into product improvementsAbility to operate effectively in fast-moving, ambiguous environments

About Nexla

nexla.com

Headquarters

San Mateo, California, United States

Company Size

51-200 employees

Founded

2016

View Profile

Nexla is an enterprise-grade data platform built for the agentic AI era, enabling organizations to connect 600+ data sources and deliver governed, context-aware data as MCP-ready tools for AI agents. The platform is built around data products (Nexsets) that provide semantic abstraction, metadata, quality checks, and zero-trust security, ensuring AI agents receive the right data with the right permissions in real time. Nexla supports the full data loop — from ingestion and transformation to bidirectional agentic actions — spanning structured and unstructured, batch and streaming, cloud and on-premises data sources.