Vanta

HQ
San Francisco
Total Offices: 2
361 Total Employees
Year Founded: 2016

Vanta Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers company equity

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

Provides free snacks and drinks

Utilizes a flexible work schedule

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers generous PTO

Provides paid sick days

Offers unpaid extended leave

Provides paid holidays

Provides bereavement leave

Recently posted jobs

5 Days AgoSaved
Remote or Hybrid
San Francisco, CA, USA
Software
Owns Vanta’s global revenue new-hire bootcamp and post-bootcamp learning journeys through the first 90 days. Responsibilities include planning and facilitating live training, developing onboarding curriculum, coordinating subject matter experts and Field Enablement, tracking ramp and productivity metrics, improving programs based on feedback and performance data, and partnering cross-functionally across Sales, Customer Success, Marketing, RevOps, and People.
19 Days AgoSaved
In-Office
San Francisco, CA, USA
Software
Generate interest and revenue through cold calls, email, and social outreach. Manage a book of accounts, prioritize strategic prospects, communicate Vanta’s value proposition, build multichannel Outreach sequences, schedule meetings for account executives, and accurately log sales activities. Success requires persistence, strategic account management, adaptability, strong work ethic, and willingness to use AI responsibly.
15 Hours AgoSaved
Remote
U.S.
Software
Build and operate shared AI platform capabilities, including SDKs, APIs, agent infrastructure, durable workflows, model integrations, retrieval, evaluation, and debugging tools. The role focuses on reliability, observability, performance, secure customer-data handling, and turning AI experiments into reusable production capabilities. Responsibilities also include partnering with product teams, driving adoption, diagnosing AI failures, and mentoring or leading broader technical initiatives.