Invoca

HQ
Santa Barbara
Total Offices: 3
420 Total Employees
Year Founded: 2008

Invoca Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers supplemental life insurance

Offers disability insurance

Provides a pension

Offers accidental death & dismemberment insurance

Offers company equity

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers dependent care

Provides family medical leave

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Office is pet friendly

Offers legal assistance

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Offers sabbatical leave

Offers paid volunteer time

Provides paid sick days

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Recently posted jobs

19 Hours AgoSaved
In-Office or Remote
13 Locations
Marketing Tech • Software
Lead technical onboarding and deployment of Invoca across a customer portfolio, manage project timelines and risks, train customers on integrations/APIs, implement Agentic AI workflows, optimize processes, and collaborate with Sales, Product, and Customer Success to drive adoption and product improvements.
2 Days AgoSaved
Remote
Canada
Marketing Tech • Software
As a Staff Applied AI Engineer at Invoca, you'll architect and deploy AI systems, engineer advanced RAG systems, contribute to AI evaluations, optimize prompts, and ensure scalable and reliable AI model serving.
4 Days AgoSaved
In-Office or Remote
Post Road, Antigonish, NS, CAN
Marketing Tech • Software
The Senior ML Engineer will lead the productionization of machine learning models, focusing on CI/CD pipelines, model serving, and optimizing inference infrastructure, while collaborating with data and engineering teams to enhance ML systems and deliver impactful solutions.