AI/ML Senior Product Counsel

We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We need to parse the job posting. First, we need to extract sections. The posting includes: - Intro about Cohesity (company description). Could be "About the role"? Actually "About the role" is typical heading for description of role. The posting includes: "Given Cohesity’s role ... we are seeking to bring in a thought leader ...". That's about the role. Also "We are seeking a highly motivated and experienced attorney to join the Cohesity in-house Legal team." So we can put that under About the role. - Responsibilities: The "HOW YOU’LL SPEND YOUR TIME HERE:" bullet list (actually sentences). We need to list each as

under

. The bullet points are sentences separated by line breaks. We'll extract each. - Requirements / Qualifications: The "WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:" list of items (numbered). Those are qualifications/requirements. Could be under Requirements or Qualifications. We'll decide: maybe "Requirements" for mandatory, "Qualifications" for preferred. But we can just put under "Requirements". The instruction: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We can include both Requirements and Qualifications if content distinct. The list includes many items: 10+ years experience, JD degree, substantive AI/ML technical and legal expertise, degree in engineering or computer science preferred, Registered Patent attorney with prior in-house patent experience highly preferred, Open source licensing experience preferred, Passion for AI..., Highly collaborative..., Creative and analytical thinker..., Strong project management..., Team oriented mindset..., Superb written and verbal communication..., Demonstrated ability to leverage AI tools... We could split: Requirements: 10+ years experience, JD degree, substantive AI/ML technical and legal expertise. Qualifications: degree in engineering or CS preferred, Registered Patent attorney..., Open source licensing experience preferred, Passion..., etc. But the instruction says prefer a few substantive sections over many thin ones. Might be okay to have just Requirements (or Qualifications) covering all. But we have both headings available; we could include Requirements for mandatory items and Qualifications for preferred items. However we need to avoid filler like "preferred" etc. That's okay as content. We also have Benefits: The posting mentions "Additionally, full-time employees are eligible to participate in our comprehensive benefits framework, including health and wellness benefits, vacation, paid holidays and refresh days, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time." That's benefits content. So we can include Benefits section. Pay: The posting includes "Pay Range : $232,200.00-$258,000.00". Also mentions bonus, commission, equity. So we can include Pay section. Schedule: The posting includes "In-Office Expectations Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing. We strongly prefer candidates who are currently located in or near the designated job location. Candidates outside the area should apply only if they are committed to relocating prior to their start date and have the legal right to work in the job location." That's schedule/location expectations. Could be Schedule section. We must not include boilerplate like EEO, legal, disclosure, privacy notice, etc. Also remove duplicated lines, application instructions. The posting includes "Disclosure Pursuant to Applicable State Equal Pay Transparency Laws - This position has a starting pay range as listed below." That's part of Pay but we can keep the pay range. The rest of that sentence about actual salary etc is maybe filler but still part of pay description. We can include it as part of Pay section prose. We must not repeat the job title as a heading. The job title is not explicitly given but likely "Lead IP Attorney - AI/ML" or similar. Not present. So fine. We must not put Job ID/requisition numbers as headings. We must output only HTML fragment, no /, no markdown fences. Thus produce something like:

About the role

...

Responsibilities

• ...
...

Requirements

• ...
...

Qualifications

• ...
...

Benefits

...

Pay

...

Schedule

...

We need to ensure we preserve all substantive information, not invent or summarize away detail. Let's extract precise content. About the role: Combine paragraphs: "Cohesity is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery at scale. We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design. Join us on our mission to shape the future of our industry. Given Cohesity’s role in the rapid adoption and expansion of AI/ML capabilities and uses across organizations, we are heavily investing in building and advocating the responsible use of AI as applied to sensitive data within the enterprise setting. We are seeking to bring in a thought leader and subject matter expert within the legal department to play a key role during this rapidly evolving and transformative era in technology, given the associated regulatory and legal backdrop as it changes in real-time. We are seeking a highly motivated and experienced attorney to join the Cohesity in-house Legal team. Reporting directly to the VP of IP&P, you will be the lead IP attorney for all Artificial Intelligence and Machine Learning (AI/ML) issues. You will be an integral part of our AI/ML compliance team, serving as a subject matter expert on emerging AI/ML trends, regulations and technology. You will support Cohesity’s engineering and business teams as they develop and deploy AI/ML foundation models, tools, and associated data. You will partner closely with our AI product team, Open Source Software (OSS) legal team, Data/privacy experts, and patent teams for AI/ML matters." That's a lot but we can keep as prose. Responsibilities: The list after "HOW YOU’LL SPEND YOUR TIME HERE:" includes sentences: - Be responsible for all AI/ML legal issues, coordinating cross-functionally, as well as within legal - Influence product development plans related to legal and compliance use cases that benefit our customers - Collaborate with patent team to implement IP protection strategy for AI/ML innovations - Collaborate with OSS and transactional legal teams to ensure license compliance - Collaborate across legal regarding adjacent contractual, privacy and regulatory implications - Advise/negotiate on AI/ML contractual provisions and create AI/ML playbook provisions - Build processes and tools to scale compliance support for AI/ML products and services - Prepare and provide AI/ML trainings to internal stakeholders - Counsel on legal risk mitigation through technical architecture and product design - Develop positive, strong, and collaborative relationships with multiple cross-functional partners (e.g., Engineering, Product Management, Product Security, Info Sec and other Legal teams) to identify and proactively protect products, projects, and services - Drive special projects, including establishing strategies, guidelines, processes, and procedures, to enable the IP and broader legal team to provide best in class service to its partners - Provide executive roll-up information related to industry trends and risks - Be capable of presenting to executives and Board members along with the CLO and other senior members of legal We need to keep each as
• . Requirements: The list after "WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:" includes numbered items 1-? Let's extract: 1. 10+ years of legal experience in a law firm and corporate environment 2. JD degree with excellent academic credentials 3. Substantive AI/ML technical and legal expertise 4. Degree in engineering or computer science preferred 5. Registered Patent attorney with in prior in-house patent experience highly preferred 6. Open source licensing experience preferred 7. Passion for AI and learning new areas of technology and evolving IP law 8. Highly collaborative, patient and capable of finding effective methods to influence diverse groups of people and functions across the company 9. Creative and analytical thinker with strong problem-solving skills that is capable of proposing solutions to IP complex issues 10. Strong project management and organizational skills, with the ability to successfully manage multiple simultaneous projects in a fast paced environment 11. Team oriented mindset with strong ethics and integrity, sound judgment, and ability to concisely identify solutions addressed to multiple needs 12. Superb written and verbal communication skills for all business levels including executives/board 13. Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making. We could split into Requirements (mandatory) and Qualifications (preferred). Mandatory likely items 1-3, maybe 8-13? But ambiguous. To follow instruction, we can create both sections: Requirements for items 1-3 (maybe also 8-13 as they are skills). Qualifications for items 4-7 (preferred). But we risk thin sections. However we can combine all into Requirements and not have Qualifications. But we have both headings allowed; we could include Qualifications for the preferred items (degree in engineering or CS preferred, Registered Patent attorney..., Open source licensing experience preferred, Passion for AI...). That's four items, enough for a section. Thus: Requirements: items 1-3, 8-13 (the rest). Qualifications: items 4-7. Let's list them. Requirements list: - 10+ years of legal experience in a law firm and corporate environment - JD degree with excellent academic credentials - Substantive AI/ML technical and legal expertise - Highly collaborative, patient and capable of finding effective methods to influence diverse groups of people and functions across the company - Creative and analytical thinker with strong problem-solving skills that is capable of proposing solutions to IP complex issues - Strong project management and organizational skills, with the ability to successfully manage multiple simultaneous projects in a fast paced environment - Team oriented mindset with strong ethics and integrity, sound judgment, and ability to concisely identify solutions addressed to multiple needs - Superb written and verbal communication skills for all business levels including executives/board - Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making. Qualifications list: - Degree in engineering or computer science preferred - Registered Patent attorney with prior in-house patent experience highly preferred - Open source licensing experience preferred - Passion for AI and learning new areas of technology and evolving IP law Now Benefits: The paragraph: "Additionally, full-time employees are eligible to participate in our comprehensive benefits framework, including health and wellness benefits, vacation, paid holidays and refresh days, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time." We can keep that as prose. Pay: The paragraph: "Disclosure Pursuant to Applicable State Equal Pay Transparency Laws - This position has a starting pay range as listed below. Actual salary depends upon many factors, including a candidate’s skills, qualifications and experience, location, and salary expectations, and therefore a starting salary at the low end, high end, or even above