C3 AI

HQ
Redwood
Total Offices: 5
923 Total Employees
Year Founded: 2009

C3 AI Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers occupational accident insurance

Offers disability insurance

Offers supplemental life insurance

Offers accidental death & dismemberment insurance

Offers company equity

Offers performance bonuses

Offers employee stock purchase plan

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Provides family medical leave

Offers generous parental leave

Company Culture

Provides commuter benefits

Offers legal assistance

Provides free snacks and drinks

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides military leave

Provides paid holidays

Provides bereavement leave

Offers unpaid extended leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Recently posted jobs

8 Hours AgoSaved
In-Office
Redwood City, CA, USA
Artificial Intelligence • Big Data • Machine Learning • Software
Lead and scale Analyst Relations for C3 AI, defining AR strategy, targeting and engaging industry analysts, managing evaluations (Gartner, Forrester, IDC), crafting narratives, enabling executives, and translating analyst insight into product, competitive, and GTM intelligence.
YesterdaySaved
In-Office
Redwood City, CA, USA
Artificial Intelligence • Big Data • Machine Learning • Software
The Senior Product Manager will develop AI-driven supply chain applications, maintain product specs, and collaborate with teams to enhance product features while managing client rollouts.
2 Days AgoSaved
In-Office
Redwood City, CA, USA
Artificial Intelligence • Big Data • Machine Learning • Software
Develop infrastructure and tools to integrate Generative AI into enterprise applications. Build scalable end-to-end ML pipelines on heterogeneous hardware, collaborate with data scientists to train/fine-tune models, lead product development for the Generative AI suite, mentor junior engineers, and own production deployments.