Associate General Counsel, Quantcast
$234.6-272.6k
+ Performance bonus + Equity
Audience insights & real-time advertising
Job no longer available
Audience insights & real-time advertising
201-500 employees
Job no longer available
$234.6-272.6k
+ Performance bonus + Equity
201-500 employees
Company mission
To radically simplify open internet advertising.
Role
Who you are
- Minimum of 7+ years of relevant experience, of which 3+ years in-house legal counsel preferred, including strong exposure to working with legal, advertising, and/or data privacy policies, with a demonstrated interest or experience in AI compliance
- Privacy certifications (CIPP US/ EU) are a plus
- Highly organized and detail-oriented
- Ability to set strategy with senior management and executive team
- Outstanding written and verbal communication skills, with the ability to present to diverse audiences
- Ability to problem-solve, act proactively, and exercise excellent judgment and risk assessment in an evolving legal and regulatory environment
- Experience working with legal ops tools (including AI based tools)
- Have worked in a global business and be comfortable advising/coordinating advice on legal privacy issues from a global perspective
- Familiarity with and comfort working in the complex Adtech landscape
- Strategic mindset paired with the ability to execute tactically
- Ability to synthesize input from outside counsel, your own research, and feedback from internal stakeholders to provide practical guidance applicable to the teams you advise
- Demonstrated ability to build sustainable processes across functions
- Experience working with product development teams to identify privacy risks and develop appropriate safeguards
- Sense of ownership and must be comfortable in a dynamic and evolving environment
- Excellent judgment, character, and professional integrity
- Juris Doctor (J.D.) degree from an accredited United States law school and active membership in good standing of at least one U.S. State Bar (NY or CA)
What the job involves
- Reporting to our Chief Legal Officer, this individual will play a key role in supporting the revenue, product, marketing and engineering organizations
- Quantcast is looking for a passionate and professional team player who is detail-oriented, enthusiastic, diligent, resourceful, and wants to be part of a close and collaborative legal and compliance team
- This is a great opportunity for someone to accelerate an existing in-house career with a mature company
- The role requires a self-starting, athletic mindset to partner with colleagues internationally and to work cross-functionally at all levels of the organization
- Serve as a dedicated legal advisor to the Sales and Revenue organizations. Review, draft, and negotiate a high volume of revenue-generating contracts, including master service agreements, insertion orders, data processing agreements, and statements of work
- Act as a strategic legal advisor to Product, Marketing and Engineering teams on the design, development, and launch of new features and products. This involves providing proactive, practical legal advice from the ideation stage through product deployment
- Address fast-moving and complex Gen AI developments with cross-functional engineering, product, and business teams, developing business practical solutions to support legal aspects of Gen AI product launches, serving as a trusted advisor to executive stakeholders on high-impact AI product decisions
- Maintain and apply expertise in evolving domestic and international privacy laws (e.g., GDPR, CCPA, and emerging state laws)
- Develop and implement internal policies, including but not limited to, data, sales and privacy
- Contribute to the development of company objectives and principles related to commercial, product, marketing, privacy and AI compliance
Our take
Third-party cookies are on the out following Google’s announcement they will no longer be allowed on Chrome. This has dealt a blow to advertisers, who are now looking for alternative ways of targeting potential customers. Quantcast is one of the companies offering a promising alternative, using AI-driven technology to facilitate advertising based on internet traffic.
This has given Quantcast a new and unexpected injection of interest. Moreover, this long run-up has given them time to develop a product with unparalleled data accuracy and a rich raft of features that puts it head-to-head with Google Analytics.
They are also ahead of the pack in adopting a privacy-first approach, including the appointment of new Chief Privacy Officer Min-Jae Lee. With privacy regulations currently disjointed but developing fast, this appointment will help Quantcast stay a leading and trusted organization in the field.
The company was boosted by an acquisition in 2023 from mobile-first tech giant InMobi. Since then, the company has remained focused on the development and launch of new leading AI-driven products. If Quantcast can continue to deliver innovative capabilities, and inspire client confidence with its regulatory compliance, it is well insulated against the sector-wide changes anticipated over the years ahead.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-20% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2011
$8m
SERIES C
Jan 2010
$31.6m
SERIES C
Total funding: $65.3m
Company benefits
- Comprehensive healthcare benefits
- Generous vacation & time off policies
- Hybrid working from anywhere weeks (WFA)
- Mobile phone benefits
- Group life insurance & income protection
- Retirement savings plans
- Mental wellbeing support program
- Wellbeing program including resources and events
- Learning + development opportunities
- Referral bonus program
- Stock/share option grants
- Catered lunches & stocked kitchens
- Commuter benefits
- Employee discounts platform
- Employee discounts platform
- Parental benefits
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Konrad Feldman
(Co-Founder & CEO)Prior to co-founding Quantcast, Feldman co-founded Searchspace (now Fortent). Prior to Searchspace, Feldman was a Research Fellow in the Intelligent Systems Laboratory at University College London.
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