About the role
Product and privacy counsel advises the ventures on the legal questions that new products raise before they reach customers. We work with product and engineering teams on data collection, training data for models, agent actions taken on a person's behalf, and the claims made in marketing. Our advice is practical: it names the risk, the options and the one we would choose.
The law often lags the technology. Frontier AI raises questions about the rights to training data, personal data in model outputs and the status of model weights. Clexerl Go needs clear answers on consent when an agent reads a calendar or sends a message, and Autonomy & Sensing must consider what sensor data captures about bystanders. We try to settle these questions early, in design, and record the reasoning so the next team can build on it.
We write short, decision-focused notes, keep a register of open questions, and review it with the venture leads each month.
What you’ll do
- Advise product teams on privacy, data protection and consumer law questions during design, with clear recommendations.
- Review training data sources and licensing terms for Frontier AI, and document the legal basis for each dataset's use.
- Draft and negotiate data processing agreements, terms of service and privacy notices for the ventures' products.
- Assess the legal risk of agent features, including consent, liability for actions taken and the controls users can exercise.
- Review marketing claims, product documentation and launch materials for accuracy and substantiation.
- Support regulatory engagement and responses to information requests from privacy and consumer protection authorities.
- Maintain a register of legal risks and open questions, with owners and decision dates reviewed monthly.
What you’ll bring
- A law degree and a qualification to practise in the US or UK, with several years of technology or privacy practice.
- Working knowledge of GDPR, UK GDPR, US state privacy laws and the FTC's approach to unfair or deceptive practices.
- Experience advising on software products, including data flows, consent design and vendor management.
- Ability to explain legal risk to engineers and product managers in terms they can act on.
- Comfort with ambiguity, with a clear way of separating what the law says from what regulators have signalled.
- Strong drafting skills, with agreements and notices that are precise without being impenetrable.
Nice to have
- Experience advising on AI systems, including training data, model transparency and automated decision-making.
- Background in the EU AI Act or other emerging AI regulation, and its application to general-purpose models.
- Experience with robotics, autonomous systems or sensor data and the privacy issues they raise.
- Experience handling regulatory investigations, subject access requests or data breach responses in practice.
Work you might take on
- 01
Write a decision memo on the lawful basis for using customer-supplied data to improve Clexerl Go's scheduling suggestions.
- 02
Produce a training data provenance standard that every Frontier AI dataset must meet before it is used for training.
- 03
Build a consent and disclosure review for agent actions, covering when the user is asked and what is logged.
- 04
Create a substantiation checklist for product claims about accuracy, safety and privacy, used by marketing and communications.
Compensation
$240K – $360K
The US base salary range for this role. Every offer also includes equity in Clexerl and, when it spins out, in the venture you help build. We tell you the reasoning behind your number.
Benefits
Health, fully covered
Medical, dental and vision for you and your dependants, premiums paid in full.
Two kinds of equity
Equity in Clexerl, plus a stake in the venture you help build when it spins out.
22 weeks parental leave
Fully paid, for every parent, however your family arrives.
Rest that sticks
Flexible time off with a four-week minimum we actually check on, plus a company-wide week in December.
Learning and compute
A yearly budget for courses, conferences and books, and compute credits for side projects.
401(k) with a 4% match
Matched from your first paycheque and vested immediately.
How we hire
Apply 5 minutes
Send links to what you have built and a few lines on why this role. No cover letter needed.
Intro call 30 minutes
A conversation with the hiring manager about the work, the team and what you want next.
Work sample 2–4 hours
A paid take-home or a pairing session on a real-shaped problem. You pick the format.
Studio day One day
Meet the team, go deep on your work and ours. Remote or in person.
Offer Within 5 days
A written offer with the full range, the equity and the reasoning behind both.
Opens an email with a short template. Links beat résumés.