Full-Time

Enterprise Account Executive

Confirmed live in the last 24 hours

Relyance AI

Relyance AI

51-200 employees

Data protection and privacy compliance platform

Enterprise Software
Cybersecurity
AI & Machine Learning

Compensation Overview

$140k - $155kAnnually

Senior, Expert

San Francisco, CA, USA

Category
Strategic Account Management
Sales & Account Management
Required Skills
Salesforce

You match the following Relyance AI's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 8+ years of experience selling enterprise software solutions to C-level executives, managers, and directors at enterprise accounts.
  • 2+ years of experience building out new territory.
  • Experience successfully selling at an early-stage organization.
  • A metrics-driven approach to Sales with an objective track record of success.
  • Experience selling to any and all of the Relyance AI stakeholders including Privacy, Legal, Security, and Engineering.
  • Intellectual curiosity to immerse yourself in the data privacy space and gain a deep understanding of the issues organizations face in managing privacy and data governance.
  • Skills and experience to successfully navigate an enterprise account and deal with the complexity of selling a solution to multiple stakeholders, including Business (Legal), IT (Security), and Dev (Engineering) executives.
  • Ability to maintain accurate and timely customer, pipeline, and forecast data in Salesforce.
Responsibilities
  • The sole responsibility for enterprise sales in your assigned territory by owning your business and managing the sale process from initial lead generation to final closure.
  • Driving complex sales cycles and orchestrating all required internal resources such as solution consultants, pre-sales support, customer success, and other customer-facing assets.
  • Implementing a value-selling process alongside thorough knowledge of Relyance AI’s solution for addressing privacy and data governance.
  • All pipeline generation across your territory including going to local events, developing a network of privacy professionals, and working with your sales development rep to identify new opportunities.
  • Using your experience and consultative selling skills to establish long-standing relationships with prospective customers and executive sponsors.
  • A commitment to providing our prospects and customers exceptional service while creatively and relentlessly driving new business.
  • Building a detailed understanding of the data privacy issues and requirements faced by customers and being able to articulate how Relyance AI’s platform can address these critical needs.
Desired Qualifications
  • Experience selling a privacy technology
  • Startup Experience
  • CIPP certification

Relyance AI specializes in data protection and privacy compliance by using machine learning to create a real-time inventory and map of personal data flows within organizations. Their software-as-a-service (SaaS) platform allows clients to monitor data processing activities, ensuring compliance with regulatory requirements. What makes Relyance AI different is its focus on automating data tracking, which reduces manual workflows and minimizes compliance risks. The company's goal is to help organizations maintain user trust while effectively managing their personal data.

Company Size

51-200

Company Stage

Series B

Total Funding

$60.3M

Headquarters

Mountain View, California

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $32M in Series B funding, enhancing growth and innovation.
  • Named a 2023 Gartner Cool Vendor in Privacy, boosting credibility.
  • Growing demand for AI-driven compliance solutions supports market expansion.

What critics are saying

  • Emerging competition from platforms like OneTrust and TrustArc.
  • Frequent updates needed due to evolving AI regulations increase costs.
  • Complex data privacy laws across jurisdictions challenge universal compliance.

What makes Relyance AI unique

  • Relyance AI uses machine learning for real-time data flow mapping.
  • The platform offers asset-level visibility and lineage for sensitive data.
  • Relyance AI integrates privacy compliance directly into code bases.

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Benefits

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

-11%

1 year growth

-10%

2 year growth

-14%
SuperbCrew
Oct 11th, 2024
Relyance AI Sets New Benchmarks In Privacy, Security, And AI Governance With $32M Series B Funding

Relyance AI has raised $32 million in Series B funding, led by Thomvest Ventures, with participation from M12, Microsoft's venture arm, Cheyenne Ventures, and existing investors like Unusual Ventures and Menlo Ventures.

Relyance AI
Oct 11th, 2024
Raising Our Series B and Setting the New Standard In Privacy, Security, and AI Governance

Today, I am thrilled to announce our Series B funding, led by Thomvest Ventures and supported by M12, Microsoft Ventures Fund, Cheyenne Ventures, and our existing investors, Unusual and Menlo Ventures.

VKTR
Oct 10th, 2024
Relyance AI Raises $32 Million Series B Funding to Safeguard AI Innovation in the Enterprise

Relyance AI raises $32 million series B funding to safeguard AI innovation in the enterprise.

Business Wire
May 7th, 2024
Relyance AI Launches Asset Intelligence and Data Security Posture Management

SAN FRANCISCO-(BUSINESS WIRE)-Today at RSA Conference, Relyance AI announced the release of Asset Intelligence and Data Security Posture Management, the first DSPM solution to bring together complete asset-level visibility and lineage to all sensitive enterprise data in the context of contractual and regulatory obligations.

Business Wire
May 7th, 2024
Relyance Ai Launches Asset Intelligence And Data Security Posture Management

SAN FRANCISCO--(BUSINESS WIRE)--Today at RSA Conference, Relyance AI announced the release of Asset Intelligence and Data Security Posture Management, the first DSPM solution to bring together complete asset-level visibility and lineage to all sensitive enterprise data in the context of contractual and regulatory obligations. Security and privacy leaders can now see where all data is stored at a fine-grain level, why it is stored there, who has access to it, and what risks exist with how it is being processed, bringing unprecedented clarity and control over a company's most precious asset - their customer data.The risk of regulatory fines, loss of reputation, and lawsuits from mishandling data or worse, data breaches, is skyrocketing. According to DLA Piper, fines from GDPR and other regulatory agencies topped $1.7B in 2023. The problem for data security, privacy, and governance teams today is they often work with silos of information and are buried in alerts. They lack contextual understanding of the granular commitments the organization has made to their customers and partners. And they often don't know until it's too late where they are exposed in case of a breach or if data is used for training purposes when it should not be