Pinecone

HQ
New York, New York, USA
125 Total Employees
Year Founded: 2019

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Pinecone Benefits Overview

At Pinecone, we prioritize the well-being and work-life balance of our team members. In light of this, we proudly cover 90% of the healthcare premiums for medical, dental, and vision insurance for our employees. Moreover, we offer flexible Paid Time Off (PTO) provisions along with comprehensive Maternity and Paternity leave policies to support our team during significant life events. Furthermore, we're excited to announce that starting January 1, 2024, we will be introducing a 401(k) plan to help our employees secure a stable financial future.

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers company equity

Provides home-office stipend for remote employees

Provides relocation assistance

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Work-Life Balance + Wellbeing

Provides opportunities to volunteer in the local community

Partners with nonprofits

Has employee-led culture committees

Offers company-sponsored happy hours

Offers wellness programs

Utilizes an Unlimited PTO policy

Utilizes company-wide vacation

Company Culture

Utilizes an open door policy that encourages accessibility

Uses an OKR operational model to clearly define goals and priorities

Open office floor plan to encourage communication and collaboration

Provides free snacks and drinks

Some meals provided

Offers diversity-based Employee Resource Groups

Has a diversity recruitment program

Hiring practices promote diversity

Utilizes a hybrid work model

Recently posted jobs

Artificial Intelligence
Lead the design and development of Pinecone's API and interfaces for AI agents, focusing on automation and observability while collaborating with cross-functional teams.
Artificial Intelligence
Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.