Senior Counsel, Product & Data
Remote · USFull-time$175–210K/yrPosted 6mo agoStill listed today
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At a glance
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Job overview
Chainalysis seeks a Senior Counsel, Product & Data to shape legal strategy for its data and intelligence products. The role advises on data use, licensing, governance, privacy, intellectual property, and emerging technologies throughout product development and operation. It partners with technical and business teams to identify legal considerations early, manage risk, and support product growth in a rapidly evolving industry.
Skills & qualifications
Skills
Qualifications
Full job description
The Legal team at Chainalysis advises the business on the legal and regulatory challenges of building innovative blockchain data and analytics solutions. Working across Product, Engineering, Data Science, Commercial, and other teams, Legal helps Chainalysis innovate responsibly, manage risk, and support growth in a rapidly evolving industry. The Senior Counsel, Product & Data will help shape the legal strategy for Chainalysis’ data and intelligence products. This role partners with Product, Engineering, Data Science, and Research & Development to identify legal considerations early in product development and help influence the product roadmap. With a strong understanding of data from compliance, privacy, and intellectual property perspectives, the Senior Counsel will help teams address legal considerations as products are developed, rather than after they have shipped. The role will advise on data sourcing, use, access, licensing, governance, and product development, while helping address issues such as role based access controls and data deletion following customer offboarding. This is an opportunity for an experienced technology lawyer to build trusted relationships across the business and contribute to the long term development of the product legal function.
In this role, you’ll:
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Advise throughout the product lifecycle, from early planning and development through launch and ongoing operation.
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Partner with Product, Engineering, Data Science, and Research & Development to identify legal considerations early and help shape the product roadmap.
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Advise on data sourcing, collection, use, access, retention, deletion, licensing, and commercialisation.
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Assess data and intelligence products through compliance, privacy, intellectual property, and commercial perspectives.
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Help address product and data issues, including role based access controls and data deletion following customer offboarding.
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Advise on intellectual property, including copyright, trademarks, patents, IP protection, and third party rights.
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Advise on AI, machine learning, and other emerging technologies in product development and data use.
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Partner with Privacy, Security, Compliance, and Commercial Legal colleagues on product related matters.
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Develop practical policies and processes to help teams identify and manage legal risks.
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Coordinate legal responses to product related incidents, complaints, and disputes.
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Monitor legal and regulatory developments and provide actionable guidance.
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Build strong relationships with stakeholders and contribute to the long term development of the product legal function.
We’re looking for candidates who have:
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A law degree and qualification to practise law in a relevant jurisdiction.
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Significant experience advising technology businesses, ideally in house at a mid sized technology company with data intensive products.
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Experience in product counselling, data related legal matters, intellectual property, or data licensing.
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Experience advising Product, Engineering, Data Science, or other technical teams.
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A strong understanding of how data is collected, managed, licensed, accessed, and used in commercial products.
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Experience assessing legal risks associated with data intensive products and emerging technologies.
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The ability to identify legal considerations early and balance risk with commercial objectives.
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Excellent judgement, communication, and stakeholder management skills.
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The ability to manage complex matters independently and work collaboratively across teams.
Nice to have experience:
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In house product legal experience at a mid sized technology company with data intensive products.
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Experience at a comparable technology or intelligence business.
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Experience advising on data licensing, large scale data collection, data enrichment, or data driven products.
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Familiarity with blockchain technology or digital assets.
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Experience with AI governance, machine learning, or privacy frameworks such as GDPR or CCPA/CPRA.
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Experience with product related disputes, technology partnerships, or complex commercial agreements.
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Product litigation experience at a law firm, particularly involving technology, data, or intellectual property.
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Experience working across multiple jurisdictions.
AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.
How this job compares
Set against the 2,678 open Legal Counsel jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This posting$175–210K/yr
- US median$154–231K/yr2,029 salary ranges
This range's midpoint, $193K, is close to the US median midpoint ($196K) — in the middle half of Legal Counsel salary ranges across the US.
- Openings
- Olive Jobs lists 2,678 open Legal Counsel jobs across the US. 11% of them nationwide are listed as remote or flexible.
- Hiring the most across the US
- Cardinal Health92 open
- Travelers Insurance Company92 open
- Meta89 open
- Experience
- Legal Counsel postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 8 years (2,298 postings).
- Education
- This posting asks for a doctorate or professional degree; 1,955 of the 2,678 open Legal Counsel jobs (73%) ask for a doctorate or professional degree.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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