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Rocket Lawyer

<div><div><div>About Rocket Lawyer</div>
<div></div>
<div>We believe everyone deserves access to affordable and simple legal services. Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America, South America, and Europe, Rocket Lawyer has helped over 30 million people create over 50 million legal documents, and get their legal questions answered.</div>
<div></div>
<div>We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company's history, to capture audiences worldwide. We are expanding our team to take on this challenge!</div></div>
About your role

Rocket Lawyer's customer data is the company's most important asset, and we need to continue maintaining the security and privacy of this data to ensure delighted customers and a successful business. As a seasoned data security and privacy engineer, you will play a critical role in designing, building, and scaling the systems, processes, and controls that protect the company and our users' data and ensure trust in our products. Working as part of the Security team, you will partner closely with Engineering, Legal, and cross-functional stakeholders to embed privacy-by-design principles into our infrastructure and translate regulatory requirements into scalable technical solutions. You'll bring to the role a passion for architecting and operating a secure data storage system.

This is a hands-on role for a senior individual contributor who thrives at the intersection of security, privacy, and data infrastructure. You will shape how we discover, classify, and protect information, lead privacy risk mitigation efforts, and help evolve our data security capabilities as the company grows and our AI product flourishes. The ideal candidate will be a seasoned data security and privacy expert with exposure to AI-integrated systems to understand the complexities of data security as it relates to AI.

How you will make a difference day to day

Data Discovery, Classification, and Mapping
<ul>
<li>Design and implement data classification and handling frameworks to provide appropriate protection throughout the data lifecycle.
</li>
<li>Build and maintain comprehensive data inventories and data flow maps, identifying where data resides and how it is processed across systems.
</li>
<li>Collaborate with Engineering teams to apply appropriate controls at every point in the data pipeline.
</li>
<li>Understand the need for encryption, implement it where possible, and implement all appropriate safeguards to ensure keys are both kept secure and available to prevent data exfiltration and loss.
</li>
</ul>Privacy by Design and Technical Enablement
<ul>
<li>Partner with Engineering, Legal, Product, IT, and other cross-functional stakeholders to design and embed privacy and data protection principles across the entire organization, from product development to operations.
</li>
<li>Partner with Stakeholders to translate legal and regulatory obligations into actionable technical requirements, policies, and controls.
</li>
<li>Develop privacy-enhancing capabilities such as data minimisation, anonymisation, and access-control frameworks that scale with our infrastructure.
</li>
<li>Work with AI teams to ensure that architectural designs are reviewed and threat modeled to minimize data privacy risk.
</li>
</ul>Risk Assessment, Monitoring, and Compliance Execution
<ul>
<li>Conduct technical risk assessments of internal and third-party systems and applications to identify, evaluate, and mitigate privacy and data security risks, including vulnerabilities, misuse, and compliance gaps.
</li>
<li>Contribute to Data Protection Impact Assessments (DPIAs) by assessing the technical and security implications of new processing activities.
</li>
<li>Partner with Legal to transform evolving regulatory frameworks (e.g., SOC2, GDPR, CCPA, NIST, ISO) into secure, scalable engineering solutions that drive compliance and build user trust.
</li>
</ul>Incident Response and Breach Management
<ul>
<li>Support and coordinate the company's technical response to data breaches or security incidents, including those impacting personal information (Incidents), enabling timely investigation, effective mitigation, and root-cause analysis.
</li>
<li>Design and implement processes and tooling to detect, investigate, and remediate data security incidents in compliance with applicable laws.
</li>
</ul>Privacy Automation And Process Enablement
<ul>
<li>Partner with Stakeholders to design and implement automated workflows and tools to streamline privacy operations, including data subject rights requests and data deletion workflows.
</li>
<li>Deploy and manage data loss prevention (DLP) capabilities across endpoints, applications, and infrastructure to prevent unauthorised disclosure of sensitive data.
</li>
<li>Implement continuous auditing, monitoring, and alerting to track compliance posture and surface security and operational privacy risks proactively.
</li>
</ul>Cross-Functional Collaboration and Enablement
<ul>
<li>Act as a trusted advisor to Stakeholders on the technical implementation of privacy and security controls.
</li>
<li>Provide strategic input on product design decisions and architectural choices to enable alignment with privacy and security best practices.
</li>
<li>Partner with cross-functional teams to develop and execute vendor risk assessments as they relate to data security, establishing processes that address technical, security, and privacy requirements across the entire vendor lifecycle.
</li>
</ul>Additional Responsibilities
<ul>
<li>Collaborate with Legal on technical aspects of contractual reviews with enterprise customers, partners, vendors, and other third parties.
</li>
<li>Assist with answering vendor security questionnaires as they relate to Rocket Lawyer's privacy and data-handling policies.
</li>
<li>Contribute to the development of internal policies, standards, and procedures based on technical best practices.
</li>
</ul>What you'll need
<ul>
<li>5+ years of hands-on experience in information security, privacy engineering, or related roles.
</li>
<li>Strong understanding of global data protection laws and regulations (e.g., GDPR, CCPA) and their technical implications.
</li>
<li>Proven experience in incident response, data protection engineering, and risk assessments.
</li>
<li>Familiarity with data classification, mapping, and governance methodologies.
</li>
<li>Experience with at least one software data classification technology, such as a DSPM.
</li>
<li>Experience with DLP technologies and implementing privacy workflows and automation.
</li>
<li>Familiarity with workflow automation tools and ticketing systems (e.g., Jira, ServiceNow).
</li>
<li>Experience in using third-party privacy automation tooling is a plus.
</li>
<li>Strong analytical, problem-solving, and communication skills, with the ability to work effectively across cross-functional teams.
</li>
<li>Industry certifications (e.g., CISSP, CISA, CISM) are a plus.
</li>
</ul>Not sure if you meet all the qualifications? Apply anyway! We value diverse experiences and encourage you to bring your unique talents to our team!

Benefits &amp; Perks
<ul>
<li>Comprehensive health plans (including Medical, Dental, and Vision insurance for full-time employees)</li>
<li>Unlimited PTO</li>
<li>Competitive salary packages</li>
<li>Life insurance</li>
<li>Disability benefits</li>
<li>Supplemental Optional Life Insurance Benefits</li>
<li>FSA Options Optional</li>
<li>HSA with Company Match</li>
<li>401k program with Company Match</li>
<li>Wellhub &amp; ClassPass fitness platforms</li>
<li>Comprehensive Pet Insurance options</li>
<li>Financial Wellbeing &amp; Student Loan Program access</li>
<li>Access to additional Mental Health &amp; Wellbeing resources</li>
<li>Pre-tax Commuter/Transit Benefits</li>
<li>Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates.</li>
</ul>
Interview Process
<ul>
<li>Recruiter Phone Screen</li>
<li>Role Assessment(s)</li>
<li>Hiring Manager Interview</li>
<li>Panel Interviews</li>
<li>Final Interview</li>
</ul><div>Rocket Lawyer is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses.</div>
<div></div>
<div>All your information will be kept confidential according to EEO guidelines.
</div><div>You may request reasonable accommodations by sending an email to hr@rocketlawyer.com.</div>
<div></div>
<div><div>Compensation 
Base salary range by location:</div>
<ul><li>San Francisco Bay Area, CA: $161,109 - $189,540</li>
<li>California (outside of the San Francisco Bay Area) and Colorado: $136,943 - $175,324</li>
<li>Utah, Arizona, and North Carolina: $128,887 - $151,632</li>
</ul>
</div><div>By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.</div></div>

AI Data Security & Privacy Engineer

PARASAIL

<div><div>Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience&mdash;free from vendor lock-in and designed for the next generation of AI workloads.</div><div><h3 class="jobSectionHeader">
Job Description</h3>

The Senior Software Engineer, Distributed Systems role at Parasail is crucial for ensuring the seamless deployment, scalability, and security of our AI platform. This position is tailored for individuals passionate about creating robust infrastructures that support complex AI workloads, with a strong emphasis on cloud compatibility, security, ease of use, and cost savings. You will work closely with AI-focused performance and solutions engineering teams, facilitating the orchestration of resources needed for high-performing AI applications, all while ensuring our infrastructure adheres to the highest standards of security and data privacy.
<h3 class="jobSectionHeader">
Technical Abilities</h3>
<ul>
<li>Microservice Architecture: Deep understanding of distributed application design patterns, service decomposition, and inter-service communication. Experience in building scalable and maintainable microservice-based systems.
</li>
<li>Backend Development: Strong foundation in storage solutions and networking protocols. Ability to design and implement robust backend systems with optimized data management and network communication.
</li>
<li>Programming Languages &amp; Frameworks: Extensive experience with Java, Spring Boot, and Golang. Proficiency in developing enterprise-grade applications using modern development frameworks and tools.
</li>
<li>Distributed Systems: Deep knowledge of distributed computing principles, including consistency models, fault tolerance, and scalability patterns. Experience in designing and maintaining large-scale distributed applications.
</li>
<li>Cloud-Native Technologies: Proficiency in cloud platforms and Infrastructure as Code (IaC). Experience with containerization, orchestration, and automated infrastructure deployment using modern DevOps practices.
</li>
<li>Large Language Models: Understanding of LLM technologies and their applications. Experience in integrating and working with AI language models in production environments, including model deployment and optimization.
</li>
</ul><h3 class="jobSectionHeader">Qualifications</h3>
<ul>
<li>5+ years of experience in backend or infrastructure, with exposure in Kubernetes and distributed computing environments.
</li>
<li>Demonstrated ability to build and secure scalable, high-performance backend.
</li>
<li>Hands-on to build brand new system and make end to end work
</li>
<li>Excellent problem-solving skills, with a track record of designing solutions that address the complex needs of AI workloads.
</li>
<li>While AI experience is not required, a demonstrated capacity to learn new technologies and stay up-to-date on the cutting edge is essential.
</li>
</ul><h3 class="jobSectionHeader">What You Bring to the Table</h3>

This role is pivotal in building a new breed of cloud architecture that enables enterprises to build powerful AI in their preferred environment with the same performance and economics as uncontrolled external services. This role ensures our AI solutions are not just innovative but also secure and sustainable. If you're passionate about learning the cutting edge of AI, building the future of infrastructure, and making a tangible impact to the early days of a company, we're excited to welcome you aboard.</div></div>

Senior Software Engineer, Distributed Systems

Prolific

<div>
 <ul>
 <li>
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 </li>
 <li>
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 </li>
 </ul>
 
 AI Trainer &ndash; Machine Learning Specialists
 
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 The role
 
 
 
 We're looking for
 
 AI Trainer &ndash; Machine Learning Specialists
 
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we'll send you a quick
 
 10- to 15-minute test
 
 to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay up to
 
 $150/hr per AI task completed
 
 . You must be prepared to complete paid tasks that require
 
 one hour of uninterrupted work
 
 , though many are shorter.
 
 
 What you'll bring
 
 
 <ul>
 <li>
 AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
 </li>
 <li>
 A willingness to take our skills verification test to assess your suitability for our participant pool
 </li>
 <li>
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 </li>
 <li>
 A reliable and fast internet connection and access to a computer
 </li>
 <li>
 A willingness to self-declare your earnings, as our participants are self-employed
 </li>
 <li>
 A Paypal account to receive payment from our clients
 
 
 </li>
 </ul>
 
 What you'll be doing in the role
 
 
 
 <ul>
 <li>
 Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
 </li>
 <li>
 Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
 </li>
 <li>
 Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
 
 
 </li>
 </ul>
 
 Key Technologies
 
 
 
 <ul>
 <li>
 General AI Training
 </li>
 <li>
 Model Evaluation and Evals
 </li>
 <li>
 Trust and Safety
 </li>
 <li>
 Red Teaming
 </li>
 <li>
 Quality Analytics
 </li>
 <li>
 Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
 
 
 </li>
 </ul>
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 Privacy Statement
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>

AI Training - Machine Learning Specialist (PST)

OpenAI

<div>
 
 About The Team
 
 
 
 Our team brings OpenAI&rsquo;s most capable technology to the world through our developer platform: the OpenAI API. As the leading AI development platform, our API is used by millions of developers and the majority of enterprises around the world, and powers the majority of AI applications that you may use on a daily basis. Most recently, we&rsquo;ve released gpt-5, gpt-realtime, Responses API, Agents SDK, and many other products and features.
 
 
 
 About The Role
 
 
 
 We are looking for a software engineer to own the design of our APIs. Our API
 
 is
 
 our product, and as such we treat its design and development with care and intentionality. Every endpoint, every field name, and every enum value is a product interface that we want to design well. We are looking for engineers who not only love building APIs, but who will also sweat the details around API design and have a discerning taste for well designed API experience. You will play a major role in shaping the future roadmap of the OpenAI API &ndash; by both building and designing it.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design and build products that we launch in API &ndash; extending existing endpoints, adding new endpoints, or rethinking our entire API suite.
 </li>
 <li>
 Play a major role in our API Review process &ndash; working with all other teams to ensure our APIs meet our design standard.
 </li>
 <li>
 Collaborate closely with the rest of the API team, our Developer Experience team, and our GTM team to make our APIs the best in the world.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Appreciate taste in API design &ndash; you believe there are well designed APIs and poorly designed APIs
 </li>
 <li>
 Can thrive and operate independently in a fast-paced environment with ambiguous requirements and goals
 </li>
 <li>
 Love building for other developers, and thrive on feedback from opinionated users
 </li>
 <li>
 Are an engineer at heart, but are willing to lean into product decisions.
 </li>
 <li>
 Think of APIs as ladders.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
</div>

Software Engineer, API Engineer

<div>
 
 About The Team
 
 
 
 OpenAI&rsquo;s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI&rsquo;s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.
 
 
 
 About The Role
 
 
 
 As a software engineer on the Scaling team, you&rsquo;ll help build and optimize the low-level stack that orchestrates computation and data movement across OpenAI&rsquo;s supercomputing clusters. Your work will involve designing high-performance runtimes, building custom kernels, contributing to compiler infrastructure, and developing scalable simulation systems to validate and optimize distributed training workloads.
 
 
 You will work at the intersection of systems programming, ML infrastructure, and high-performance computing, helping to create both ergonomic developer APIs and highly efficient runtime systems. This means balancing ease of use and introspection with the need for stability and performance on our evolving hardware fleet.
 
 
 This role is based in San Francisco, CA, with a hybrid work model (3 days/week in-office). Relocation assistance is available.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design and build APIs and runtime components to orchestrate computation and data movement across heterogeneous ML workloads.
 </li>
 <li>
 Contribute to compiler infrastructure, including the development of optimizations and compiler passes to support evolving hardware.
 </li>
 <li>
 Engineer and optimize compute and data kernels, ensuring correctness, high performance, and portability across simulation and production environments.
 </li>
 <li>
 Profile and optimize system bottlenecks, especially around I/O, memory hierarchy, and interconnects, at both local and distributed scales.
 </li>
 <li>
 Develop simulation infrastructure to validate runtime behaviors, test training stack changes, and support early-stage hardware and system development.
 </li>
 <li>
 Rapidly deploy runtime and compiler updates to new supercomputing builds in close collaboration with hardware and research teams.
 </li>
 <li>
 Work across a diverse stack, primarily using Rust and Python, with opportunities to influence architecture decisions across the training framework.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have a deep curiosity for how large-scale systems work and enjoy making them faster, simpler, and more reliable.
 </li>
 <li>
 Are proficient in systems programming (e.g., Rust, C++) and scripting languages like Python.
 </li>
 <li>
 Have experience in one or more of the following areas: compiler development, kernel authoring, accelerator programming, runtime systems, distributed systems, or high-performance simulation.
 </li>
 <li>
 Are excited to work in a fast-paced, highly collaborative environment with evolving hardware and ML system demands.
 </li>
 <li>
 Value engineering excellence, technical leadership, and thoughtful system design.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $225K - $455K
</div>

Software Engineer, Hardware

About the Team
 
OpenAI didn’t begin as a traditional company. It began as an idea: that artificial intelligence could be developed in a way that benefits everyone. As a creative team, our role is to help make sure
 
the work behind that idea is understood, as it leaves the lab and meets the world.
 
This company works at the frontier of intelligence. Like any frontier, it’s unfinished, constantly shifting, and still being explored. Our job is to stay close to that uncertainty and help shape how this story gets told, in a way that feels grounded and human. We do this through campaigns, launches, films, brand systems, and work that doesn’t fit neatly into any of those categories yet. This team is for people who want to help shape something from the beginning.
 
The Marketing Operations team has an extraordinary opportunity to build at scale without falling into big-tech thinking. We are designing a new way of working and operating in the era of AI to help shape our company, org and team. We pride ourselves on thinking like researchers, we expect change to be constant, we use AI to amplify our impact, and we build systems so teams can move faster.
 
About the Role
 
OpenAI’s internal Marketing team is looking for a
 
Marketing Operations, Technology & Tools Lead
 
to own and evolve our tools, technology, data flows, and operating model while driving the evolution of our AI-enabled workflows. This role will help our marketers move faster while maintaining industry standard security and privacy requirements to ensure the technology we deploy utilizes OpenAI’s tools to their fullest while aligning with the mission.
 
You’ll be the connective tissue between Marketing, Engineering, Security, and Legal/Privacy translating marketing goals into scalable systems, clean measurement, and secure workflows.
 
In this role, you will: 
Be the go-to expert who designs and oversees our full tech stack and standards across our planning, project management, resource management, production and DAM tools (internal tools and external SaaS tools).
 
Ensure our tech stack is built for mid-term/long-term growth from the beginning (tools are connected, taxonomy is consistent, vendor selection is intentional and custom tools are built to last).
 
Have an AI-first mindset and have successfully deployed AI based solutions at scale for marketing workflows including production, intake, reporting, resource management, asset management, etc.
 
Develops our team standards for tech security and governance (in accordance with OAI requirements, SOX compliance, etc.)
 
Key partner to our IT, Privacy and Security XFNs to build trust and allow Marketing to function how it needs to.
 
Drive projects independently and in partnership with product experts (security, DAM, Proj Mgmt, Resource Mgmt and AI).
 
Ensures our tech has a throughline, is integrated and informed across all tools.
 
Own decisions around vendor selection and management.
 
Informs and drives custom development in partnership with engineers.
 
You might thrive in this role if you: 
7+ years in
 
Marketing Technology / Marketing Operations / Growth Ops
 
in a fast-moving tech environment.
 
Hands-on experience owning or administering at least two of: CRM, marketing automation, CDP/audience activation, analytics/tagging, experimentation, data warehouse integrations.
 
Strong working knowledge of: 
data concepts (identifiers, events, schemas, segmentation)
 
integrations (APIs, webhooks, ETL/reverse ETL)
 
measurement fundamentals (UTMs, attribution constraints, experimentation basics)
 
Demonstrated ability to lead cross-functional programs and ship durable systems (not just one-off fixes).
 
Comfort operating in a
 
highly scrutinized environment
 
: documentation, auditability, change management, and risk mitigation.
 
Nice to haves
 
Experience operating in a public-company or public-company-grade controls environment (SOX-ish rigor, audit trails, vendor risk management).
 
Familiarity with cybersecurity risk governance concepts (e.g., NIST CSF 2.0 emphasizes governance as a core function).
 
Experience with responsible AI enablement and risk management (e.g., NIST AI RMF’s “govern/map/measure/manage” framing).
 
Ability to prototype/build: SQL, lightweight scripting, automation, basic application building, or “solutions SWE” adjacent work.
 
Experience driving adoption through enablement (training, documentation, office hours, templates).
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$266K – $295K + Offers Equity

Marketing Ops, Tech & Tools Lead

Airtable

<div><div>Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.</div>
Airtable's Data Science &amp; Analytics team seeks an Analytics Engineer to embed within our Marketing organization. This is a high-impact, early-career role. You will be responsible for building the canonical data infrastructure, owning critical dashboards, and enabling Marketing stakeholders to execute faster, more confident, data-driven decisions.

We require a genuinely AI-native professional&mdash;not merely familiar with tools like Claude, Cursor, or ChatGPT, but one who integrates them as a core part of their daily workflow. The successful candidate will possess a full-stack mindset, a bias for action, and deep curiosity about how marketing data drives tangible business outcomes.

About the Team

The Data Science &amp; Analytics team at Airtable is the company-wide partner for building data infrastructure, metrics, and insights that directly inform decision-making. The Marketing Analytics Engineer will embed with the Marketing organization, working directly with GTM data and Airtable's core data stack: dbt, Databricks, Looker, and Omni.
<h1 class="jobSectionHeader">
What you'll do</h1>
<ul><li>Canonical Marketing Data Sources
<ul><li>Design and maintain trustworthy data models for core marketing metrics, managing the full lifecycle from prototyping through production.</li>
<li>Develop and govern dbt data pipelines, establishing data integrity standards and SLAs for timely, accurate delivery across the Marketing organization.</li>
</ul></li><li>Critical Dashboards and Self-Serve Tooling
<ul><li>Build and optimize dashboards that deliver real-time, self-serve insights across high-priority marketing areas: campaign performance, funnel conversion, pipeline contribution, and lead scoring.</li>
<li>Drive data independence for Marketing stakeholders, eliminating reliance on ad-hoc data requests and manual reporting.</li>
</ul></li><li>AI-Native Data Infrastructure
<ul><li>Collaborate with the Marketing team and data partners to establish the AI Business Context layer for marketing use cases.</li>
<li>Lead the development of tools that facilitate natural language data access and AI-assisted reporting for non-technical stakeholders.</li>
</ul></li><li>Trusted Partnership
<ul><li>Serve as the primary data partner for marketing managers, demand generation teams, and leadership.</li>
<li>Translate complex data insights into clear business recommendations via dashboards, memos, and presentations.</li>
</ul></li><li>Domain Expertise
<ul><li>Achieve a comprehensive mastery of Airtable's marketing data models, existing pipelines, and BI tools (dbt / Looker / Omni) within the first 6 months, becoming the definitive internal expert.</li>
</ul></li></ul><h1 class="jobSectionHeader">Who you are</h1>
<ul><li>Must-Have
<ul><li>Expert-level SQL: Proven ability to write complex queries involving joins, aggregations, and window functions.</li>
<li>Proficiency with dbt or equivalent data transformation tools.</li>
<li>Experience with BI and visualization platforms (Looker, Omni, Tableau, Hex, or similar).</li>
<li>Active, demonstrated daily use of AI coding tools (Cursor, Claude, ChatGPT, Gemini). Candidates must provide specific, concrete examples of how these tools are integral to their work, moving beyond simple familiarity.</li>
<li>Mandatory use of GitHub for version control in a standard development workflow.</li>
<li>Exceptional communication skills: the ability to translate technical data findings into compelling business narratives for non-technical leadership.</li>
</ul></li><li>Nice-to-Have
<ul><li>Python for data work (pandas, ETL scripting, or analysis).</li>
<li>Prior exposure to marketing data concepts: attribution, funnel metrics, lead scoring, or campaign performance.</li>
<li>Familiarity with CRM (Salesforce) or marketing automation platforms (Marketo).</li>
<li>Experience with Databricks or cloud data warehouses.</li>
<li>A public portfolio showcasing data or AI-assisted engineering work (GitHub, personal projects, Kaggle).</li>
</ul></li><li>Full-stack Mindset: You own problems end-to-end and drive the solution, even if it requires expanding the original scope.</li>
<li>Bias for Action: You prioritize effective delivery over perfection, operating with a 'ship, learn, and iterate' mentality.</li>
<li>Genuinely AI-Native: AI tools are fundamental to your work process. You leverage them to write cleaner SQL, debug models faster, generate documentation, and prototype solutions, and can articulate your specific usage.</li>
<li>Data Storyteller: You provide definitive business closure&mdash;framing findings as actionable recommendations, not just delivering technically correct output.</li>
<li>Thrives in Ambiguity: You proactively create clarity and forward momentum, even when requirements are incomplete or rapidly changing.</li>
</ul>
Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant.

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AI Analytics Engineer (Marketing Analytics)

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