Chief of Staff, Relyance AI

$135-175k

Senior and Expert level

San Francisco Bay Area

2+ days a week in office (44 Montgomery Street, CA)

AI & data security platform

Job no longer available

AI & data security platform

101-200 employees

B2BArtificial IntelligenceComplianceLegalSaaS

Job no longer available

$135-175k

Senior and Expert level

San Francisco Bay Area

2+ days a week in office (44 Montgomery Street, CA)

101-200 employees

B2BArtificial IntelligenceComplianceLegalSaaS

Company mission

To secure the future of data-driven enterprises by making every data journey visible, controlled, and compliant, from the first line of code to the final AI output.

Job

Company

Role

Who you are

Strategic Thinking: A keen eye for identifying opportunities and solving complex problems
Strategic Support Execution: 5+ years of experience supporting a C-Suites calendar
Strong Execution: The ability to translate strategy into action and deliver results.Business Acumen: Experience communicating for and on behalf of an Executive
High EQ: Empathy, strong communication skills, and the ability to build relationships
Startup Experience: Experience navigating the challenges and opportunities of a high-growth startup
No Task Is Below You: Take out the trash to strategic analyze a financial plan

Desirable

Experience supporting a VC-funded CEO
Experience leveraging LinkedIn to develop new connections.f
A background in venture capital or private equity

What the job involves

As Relyance AI’s Chief of Staff, you will be a strategic partner to our CEO, Abhi Sharma, providing high-level support and guidance. You will be partnering closely with Abhi to strategically run the business
Strategic Planning: Collaborating with the executive team, and the board to develop and execute strategic plans
Operational Excellence: Overseeing day-to-day operations and calendaring for the CEO. Help drive CEO’s key initiatives and special projects to completion
Project Management: Leading and managing cross-functional projects
External Relations: Building and maintaining strong relationships with investors, media, PR, partners, and other key stakeholders
Team Leadership: Leading and Mentoring the other team member to elevate the Executive Operations function

Our take

Privacy and data governance are essential for businesses to minimize risk and maintain compliance, but modern data flows are difficult to keep track of. Data is shared through code, applications, third-party vendors, and infrastructure, and the manual aggregation of these sources into one place is too laborious for companies to have a comprehensive and holistic view of data risks.

Relyance AI provides a data governance and compliance platform, leveraging machine learning to build a dynamic real-time data inventory for businesses and mapping data flows to identify vulnerabilities. The platform also provides functionality for comparing data flows against contracts automatically, identifying when data processing activity is out of sync with compliance regulations.

While many other startups are leveraging AI to automate compliance and data governance, Relyance AI has focussed on increasing the transparency of data flows through automated mapping. With this approach, the company claims it can increase businesses’ understanding of their data flows and how to keep them compliant, ultimately saving them from expensive legal consequences and reputational damage.

Steph

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

Top investors

-6% employee growth in 12 months

Glassdoor (4)

Company

Funding (last 2 of 3 rounds)

Oct 2024

$32m

SERIES B

Sep 2021

$25m

SERIES A

Total funding: $62m

Company HQ

Cuernavaca, Mountain View, CA

Leadership

Leila R. Golchehreh

(Co-Founder & Chief Strategy Officer)

Experience as Data Protection Officer for Adaptive Insights. Senior Data Protection Lawyer & Data Protection Officer for Silicon Valley Trust from 2018 to 2020.

Abhi Sharma

(Co-Founder & CEO)

Experience as Platform Engineer for AppDynamics. Founding Member and Head of ML & Analytics for FogHorn Systems from 2015 to 2020.

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