Staff Software Engineer - Conversion Data Privacy

Join Pinterest as a Staff Software Engineer specializing in Conversion Data Privacy. In this pivotal role, you will lead the development of innovative solutions that enhance user privacy while supporting our conversion processes. You will collaborate with cross-functional teams to design, implement, and maintain systems that ensure compliance with data privacy regulations and foster user trust.As a key member of our engineering team, you will leverage your expertise in software development and data management to drive projects that have a significant impact on Pinterest's growth and user engagement.

About Us:At Ambience, we are not just another scribe; we are pioneers in creating an AI intelligence platform that revitalizes the healthcare experience while delivering significant ROI for health systems nationwide.Our innovative technology allows healthcare providers to concentrate on patient care by alleviating the administrative pressures that distract them from their most crucial responsibilities. We provide real-time, coding-aware documentation and clinical workflow support across various healthcare settings, including ambulatory, emergency, and inpatient environments, serving the most prestigious health systems in North America.We are dedicated to excellence, demonstrating extreme ownership in developing optimal solutions for our health system partners. Our culture is founded on openness, positivity, and deep thinking, and we hold each other to high standards because we recognize the significance of the challenges we are addressing.Ambience has been recognized as the top company for enhancing the clinician experience in the KLAS Research Emerging Solutions Top 20 Report, named one of Fast Company’s Next Big Things in Tech, highlighted by Inc. as one of the best AI companies in healthcare, and designated a LinkedIn Top Startup for 2024 and 2025. We are supported by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins — and we are just getting started.The Role:As a pivotal player in our organization, you will manage systems that safeguard patient information across the country's leading health systems, ensuring that trust is built through effective technical controls rather than mere policies. Your responsibilities will include overseeing access control, audit logging, data retention, and the compliance frameworks enabling us to function within the most security-conscious environments.You will design systems that enforce least-privilege access, develop audit infrastructures capable of withstanding compliance scrutiny, and create data lifecycle pipelines that automatically meet retention obligations. Privacy engineering at Ambience is not merely a compliance requirement; it is a fundamental strategy that allows us to expand into demanding enterprise health systems.This engineering role is hybrid, requiring presence in our San Francisco office three days a week.

About Our TeamAt OpenAI, the Privacy Engineering Team plays a pivotal role in embedding privacy as a core principle within our mission to develop Artificial General Intelligence (AGI). Our commitment extends across all OpenAI products and systems that manage user information, ensuring we adhere to the highest standards of data privacy and security.We focus on creating vital production services, pioneering innovative privacy-preserving techniques, and empowering cross-functional engineering and research teams with the tools necessary for responsible data utilization. Our dedication to responsible data management is integral to OpenAI's goal of safely advancing AGI for the benefit of all.About the RoleWe are seeking a passionate Software Engineer with a strong background in developing secure backend systems that prioritize user data protection. This position is ideal for individuals deeply committed to the intersection of product development, privacy, and security.This position is based in San Francisco, with relocation assistance available.In this role, your responsibilities will include:Designing, developing, and implementing backend systems that enhance privacy and security features within our API products and consumer applications.Conducting threat modeling, privacy design reviews, and code assessments to maintain the highest standards of privacy and security.Collaborating with product managers and engineering teams to create innovative products that leverage cutting-edge research while preserving privacy and security integrity.Engaging with the legal team to document and assess internal compliance measures, ensuring alignment with legal standards and conducting comprehensive audits to uphold compliance and integrity.Coordinating and actively participating in privacy incident response initiatives.You will excel in this role if you:Possess extensive experience in building and refining production systems to comply with legal standards while enhancing scalability and privacy safeguards.Have successfully led or contributed significantly to security initiatives, showcasing your ability to collaborate across functions.Demonstrate a strong passion for user privacy and security, ensuring the highest standards are met in all aspects of your work.

About UsAt Conversion, we're revolutionizing marketing automation with our AI-native platform designed specifically for modern software companies. The landscape of marketing today is fragmented by outdated tools and disconnected workflows. We're here to change that.Our solution empowers growth teams to seamlessly manage their go-to-market strategies from acquisition to retention, all within a single, fast, and personalized interface powered by AI.With over $28 million raised from leading investors like Abstract Ventures, True Ventures, and HOF Capital, we are rapidly scaling with a current ARR of over $5 million and supporting more than 4,000 customers.Join our dynamic team of high achievers in San Francisco. If you're passionate about crafting innovative, product-led marketing solutions and want to collaborate with world-class teammates, we can't wait to meet you!Over $28M in funding$0 to $6M ARR in less than 12 months, serving over 4,000 customersElite team with backgrounds from Airbnb, Palantir, Pinterest, IMC Trading, Shopify, LinkedIn, Microsoft, and moreAbout the RoleHi! I'm James, co-founder and CTO of Conversion. I want to share what we envision for our ideal candidate to join our engineering team.The challenge we face at Conversion is significant. The absence of new entrants in the marketing automation space for decades speaks to the complexity of building such platforms. Our system must reliably manage gigabytes of data syncs per customer, orchestrate intricate workflows for mission-critical processes, and handle revenue-generating form submissions while delivering high-quality emails to millions of recipients.We're seeking a backend software engineer who is:Product-focused: We value engineers who can take ownership of features, design, and implement them from start to finish. The best product managers often come from engineering backgrounds, as they can effectively assess both the benefits and costs of new features.

About the TeamJoin OpenAI's Privacy Engineering team, where we operate at the vital crossroads of Security, Privacy, Legal, and Core Infrastructure. Our mission is to develop cutting-edge data infrastructure and systems that empower our privacy, legal, and security teams to operate securely, swiftly, and at scale. We adhere to principles of defensibility by default, enabling impactful research, and fostering a robust security culture in preparation for transformative technologies.About the RoleWe are seeking a talented Software Engineer to design and implement technical systems that facilitate legal compliance workflows, including secure data processing and document review. In this role, you will collaborate closely with Legal, Security, IT, and engineering teams to translate legal processes into actionable technical workflows. This position is perfect for an engineer passionate about large-scale data challenges and who understands the meticulousness required in ensuring compliance.Located in the vibrant city of San Francisco, we offer relocation assistance for qualified candidates.Key Responsibilities:Design and maintain scalable data storage pipelines.Develop search and discovery services (e.g., Spark/Databricks, index layers, metadata catalogs) tailored to partner team requirements.Automate secure data transfers, including encryption, checksumming, and auditing exports to reviewers.Establish secure compute environments that balance usability with stringent security controls.Implement monitoring and KPIs to ensure accountability of data holds and productions.Work cross-functionally to document SOPs, threat models, and chain-of-custody documentation that can withstand scrutiny.Ideal Candidates Will:Possess practical experience in building or operating large-scale data-lake or backup systems (Azure, AWS, GCP).Be proficient with Terraform or Pulumi, CI/CD processes, and capable of converting ad-hoc legal requests into repeatable pipelines.Be comfortable working with discovery workflows (legal holds, enterprise document collections, secure review) or eager to quickly gain expertise.Effectively communicate technical concepts—from storage governance to block-ID APIs—to interdisciplinary teams such as Legal and Engineering.

Join our dynamic team at OpenAI as a Software Engineer, where you will be instrumental in designing and building robust backend systems that prioritize data privacy and automate compliance processes on a large scale. Collaborating with product, infrastructure, security, and legal teams, you will seamlessly integrate privacy-by-design principles into our data and access layers.This role is ideal for a hands-on engineer with a deep commitment to safeguarding user data while fostering innovation. Your contributions will have a significant impact on how we approach data privacy and compliance.

Join Our Team as an Executive AssistantAt Conversion, we're on a mission to revolutionize marketing automation for modern software companies. Our AI-native platform streamlines the chaotic world of marketing, ensuring that growth teams can effectively manage their entire go-to-market strategy from a single, efficient interface. With over $28 million in funding and a rapidly growing customer base of more than 4,000 clients, our team in San Francisco is eager to welcome a dynamic Executive Assistant who can thrive in our collaborative and fast-paced environment.As our first Executive Assistant, you will play a pivotal role in shaping our future. You will be responsible for managing the founders' calendars, coordinating meetings, and facilitating communication to maximize productivity. Your contributions will extend to building recruiting pipelines, organizing team events, and scouting locations for our next office space. If you are passionate about helping teams succeed and enjoy tackling diverse challenges, we want to hear from you!

About Our TeamJoin the Privacy Engineering Team at OpenAI, where we are dedicated to embedding privacy as a core principle within our mission to develop Artificial General Intelligence (AGI). We focus on ensuring that all OpenAI products and systems that process user data adhere to the highest standards of privacy and security.Our team engineers essential production solutions, innovates privacy-preserving methodologies, and provides cross-functional engineering and research teams with the tools necessary for responsible data management. Our commitment to ethical data utilization is a cornerstone of OpenAI's vision for safely advancing AGI for the benefit of everyone.About the PositionAs a valued member of the Privacy Engineering Team, you will be instrumental in protecting user data while enhancing the usability and effectiveness of our AI systems. You will engage with cutting-edge research on privacy-enhancing technologies, including differential privacy, federated learning, and data memorization techniques. Your role will also entail exploring the intersection of privacy and machine learning, innovating methods for better data anonymization, and mitigating risks associated with model inversion and membership inference attacks.This position is based in San Francisco, and we offer relocation assistance.Key Responsibilities:Design and prototype scalable privacy-preserving machine learning algorithms (e.g., differential privacy, secure aggregation, federated learning) for deployment at OpenAI.Evaluate and enhance model resilience against privacy threats such as membership inference, model inversion, and data memorization leaks, ensuring a balance between utility and security assurances.Create internal libraries, evaluation frameworks, and documentation to make advanced privacy techniques accessible to engineering and research teams.Conduct comprehensive investigations into the privacy-performance trade-offs of large models, sharing findings that guide model training and product safety protocols.Establish and document privacy standards, threat models, and audit procedures to govern the entire machine learning lifecycle, from dataset curation to post-deployment oversight.Work collaboratively with Security, Policy, Product, and Legal teams to translate evolving regulatory frameworks into actionable technical safeguards and tools.

About Watney RoboticsAt Watney Robotics, we are pioneers in developing autonomous robotic solutions aimed at enhancing critical infrastructure. Recently securing $21 million in seed funding from leading investors such as Conviction, Abstract, and A*, we are collaborating with the world’s largest hyperscalers to propel the expansion of data centers and streamline maintenance processes.This is an extraordinary opportunity to join our team at a pivotal stage as we transition from prototype to large-scale production. Be part of a team that not only ships cutting-edge systems but also plays a crucial role in shaping the operational framework of an innovative robotics company.

P-186 At Databricks, we are passionate about empowering data teams to tackle some of the world’s most challenging problems, from security threat detection to cancer drug development. Our mission is to build and operate the leading data and AI infrastructure platform, enabling our customers to concentrate on the high-value challenges that are integral to their own objectives. Founded in 2013 by the original creators of Apache Spark™, Databricks has rapidly evolved from a small office in Berkeley, California, to a global powerhouse with over 1000 employees. Trusted by thousands of organizations, from startups to Fortune 100 companies, we are recognized as one of the fastest-growing SaaS companies worldwide. Our engineering teams create highly sophisticated products that address significant needs in the industry. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. We manage one of the largest-scale software platforms, consisting of millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system faults, and our software must effectively shield our customers from these challenges. Modern data analysis leverages advanced techniques, such as machine learning, that far exceed the capabilities of traditional SQL query engines. As a Software Engineer on the Runtime team at Databricks, you will be instrumental in developing the next generation of distributed data storage and processing systems that outshine specialized SQL query engines in relational query performance, while providing the flexibility and programming abstractions to support a variety of workloads, from ETL to data science. Examples of projects you may work on include: Apache Spark™: Contributing to the de facto open-source framework for big data. Data Plane Storage: Developing reliable, high-performance services and client libraries for storing and accessing vast amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Delta Lake: A storage management system that merges the scalability and cost-effectiveness of data lakes with the performance and reliability of data warehouses, featuring low latency streaming. Its higher-level abstractions and guarantees, including ACID transactions and time travel, significantly reduce the complexity of real-world data engineering architectures. Delta Pipelines: Aiming to simplify the management of data engineering pipelines.

About GranicaGranica is a pioneering AI research and infrastructure company dedicated to creating reliable and steerable representations of enterprise data.We build trust through Crunch, a policy-driven health layer designed to keep extensive tabular datasets efficient, reliable, and reversible. From this foundation, we are developing Large Tabular Models—systems that learn cross-column and relational structures to provide trustworthy answers and automation, complete with built-in provenance and governance.Our MissionThe current limitations of AI are not solely due to model design but also to the inefficiencies of the data that supports it. At scale, every redundant byte, poorly organized dataset, and inefficient data path contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage cutting-edge research in information theory, probabilistic modeling, and distributed systems to create self-optimizing data infrastructures that continuously enhance how information is represented and utilized by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari from Stanford University, merging advancements in information theory and learning efficiency with large-scale distributed systems. We believe that the next major breakthrough in AI will stem from innovations in efficient systems, rather than simply larger models.What You Will CreateGlobal Metadata Substrate. Design and refine the global metadata and transactional substrate that enables atomic consistency and schema evolution across exabyte-scale data systems.Adaptive Engines. Architect systems that self-optimize, reorganizing and compressing data according to access patterns, achieving unprecedented efficiency improvements.Intelligent Data Layouts. Innovate new encoding and layout strategies that challenge the theoretical limits of signal per byte read.Autonomous Compute Pipelines. Spearhead the development of distributed compute platforms that scale predictively and maintain reliability even under extreme load and failure conditions.Research to Production. Partner with Granica Research to transform advances in compression and probabilistic modeling into production-ready, industry-leading systems.Latency as Intelligence. Propel systems forward by optimizing for latency as a key aspect of intelligence.

Join Airwallex as a Counsel specializing in Data Privacy, where you will play a pivotal role in ensuring our compliance with data protection laws and regulations. You will collaborate with our global teams to develop and implement privacy policies, conduct risk assessments, and provide guidance on data handling practices. This is an exciting opportunity to contribute to a fast-growing fintech company that is redefining the way businesses manage their finances.

Join Our Team at ConversionAt Conversion, we are pioneering the future of marketing automation through our AI-driven platform, designed specifically for modern software companies. Traditional marketing tools are often outdated and fragmented, leading to ineffective strategies. Our mission is to repair these broken funnels and misaligned messaging.With Conversion, growth teams can manage their entire go-to-market strategy seamlessly within a single interface. From customer acquisition to activation and retention, everything is streamlined, personalized, and enhanced by AI technology.Having secured over $28 million in funding from notable investors like Abstract Ventures, True Ventures, and HOF Capital, we are experiencing rapid growth with over $5 million in ARR and more than 4000 satisfied customers.Our compact yet high-performing team based in San Francisco is looking for passionate individuals who thrive in a creative, product-led marketing environment. If you're eager to collaborate with top-tier talent and contribute to innovative solutions, we want to connect with you!Over $28M raised in funding$0 to $6M ARR achieved in under a year, serving 4000+ customersJoin an elite team with backgrounds from Airbnb, Palantir, Pinterest, IMC Trading, Shopify, LinkedIn, Microsoft, and more

Are you passionate about safeguarding user privacy in the digital landscape? We are seeking a dedicated Privacy Engineer to join our innovative team at Twitter. In this role, you will work on developing and implementing systems that protect user data while ensuring compliance with privacy regulations.As a Privacy Engineer, you will collaborate with cross-functional teams to design solutions that enhance user trust and privacy. If you are looking for a challenging and rewarding opportunity to make a meaningful impact in a dynamic and fast-paced environment, we want to hear from you!

Join Our Mission as a Staff Software EngineerAs a pivotal member of our Data Engineering team at Prosper, we are seeking a talented Enterprise Python Expert. Your primary responsibility will be to enhance our data ecosystem by designing and implementing high-quality software solutions. You will focus on building robust data pipelines and services while optimizing system architecture and ensuring clean, scalable code development within our Google Cloud Platform (GCP) environment.

Are you ready to push the boundaries of your capabilities?At Coinbase, our vision is to enhance economic freedom globally. This ambitious endeavor requires our utmost dedication as we develop the future on-chain platform and, consequently, the global financial system of tomorrow.We are in search of a unique individual who shares our passion for this mission and recognizes the transformative potential of cryptocurrency and blockchain technology in revolutionizing finance. We seek someone who is driven to make a significant impact, thrives under pressure, and values constructive feedback for continuous improvement. If you are eager to confront complex challenges head-on, we want you on our team.Our work culture is rigorous and may not suit everyone. However, if you aspire to shape the future alongside exceptional colleagues who demand excellence, look no further.While many positions at Coinbase allow for remote work, we are not exclusively remote. In-person participation is encouraged throughout the year, with multiple team and company-wide offsite events designed to foster collaboration and alignment. Attendance is both expected and fully supported.At Coinbase, our quest for economic freedom necessitates not only outstanding products but also a robust data foundation. The Data Platform team serves as the backbone of Coinbase’s data infrastructure, ensuring reliability, speed, and accessibility at scale. This critical support enables everything from fraud detection and financial reporting to the advanced AI and ML systems that will define Coinbase's future.The RoleWe are seeking a visionary and hands-on Senior Staff Software Engineer to define and steer the technical strategy for Coinbase’s Data Platform. This pivotal role sits at the intersection of distributed systems, data engineering, and AI preparedness, offering a rare opportunity to build significant infrastructure within one of the most influential companies in the crypto space.Reporting to the Senior Director of Engineering for Data Platform, you will take on the role of the domain's foremost technical leader. You will set the architectural vision, mentor emerging engineering talent, drive multi-quarter roadmaps, and play a crucial role in transitioning Coinbase from a collection of managed data services into a scalable, cohesive data platform. This position provides considerable autonomy and is expected to have a far-reaching impact across various cross-functional teams and the broader Infrastructure organization.

P-1125SummaryAt Databricks, we are dedicated to empowering data teams to tackle some of the world's most pressing challenges, from detecting security threats to advancing cancer drug research. We achieve this by developing and maintaining a world-class data and AI infrastructure platform, allowing our clients to concentrate on the high-impact issues that are vital to their missions.Our engineering teams create sophisticated products that address real and significant needs. We continuously strive to push the frontiers of data and AI technology while ensuring resilience, security, and scalability that are essential for our customers' success on our platform.Our clients entrust Databricks with their most sensitive data, and the Trust & Safety team is committed to developing the most reliable data analytics and machine learning platform globally. Security Engineering plays a key role in Trust & Safety by safeguarding customer data from malicious threats. We are seeking senior leaders like you to shape the vision and strategy in this crucial area.

Founded in 2007, Airbnb began its journey when two hosts welcomed three guests into their San Francisco home. Today, we boast a thriving community of over 5 million hosts who have welcomed more than 2 billion guest arrivals across nearly every country worldwide. Our hosts provide exceptional stays and unique experiences, enabling guests to connect with local communities in a genuine and meaningful way.Join Our Community:At Airbnb, we prioritize the importance of reliable data across all business sectors to drive insight and innovation. To achieve this, we focus on understanding business needs, securing appropriate data sources, designing effective data models, and establishing robust and dependable data pipelines.We are currently recruiting for the following teams:The Data Stewardship Team: A dedicated group of data enthusiasts with diverse expertise in analytics, data modeling, governance, compliance, and scalable data quality. Our mission is to ensure that Airbnb meets its compliance obligations within our data ecosystem while enabling data consumers to easily find the best data suited for their needs. As part of the overall Data Infrastructure organization, we manage the online and offline data infrastructure and oversee the processes that facilitate data transitions between these environments.The Users and Contextualization Data & AI Team: A crucial component of the Marketplace Data & AI, this team focuses on developing foundational data systems that provide deeper insights into essential domains. Specifically, we concentrate on user data (Guests & Hosts) to create high-quality, well-governed user data and insights. These insights are vital for crafting personalized and context-aware experiences that enhance trip quality both on and off the Airbnb platform, ultimately enabling Airbnb to better understand and serve its users throughout their journey.Your Impact:Data Stewardship: This is integral to Airbnb's operations. High-quality data is imperative for our business decisions and the future of our AI initiatives. We are responsible for the overall strategy regarding data quality, identifying critical data and its provenance, measuring the effectiveness of our internal data products, and collaborating with our core catalog team to provide optimal data solutions.

Join Laurel as a Staff Data Engineer, where you will play a pivotal role in designing and implementing scalable data solutions. You will collaborate with cross-functional teams to optimize data architecture and enhance data analytics capabilities.

About UsAt Imprint, we're on a mission to revolutionize co-branded credit cards and financial products, creating smarter, more rewarding experiences that prioritize brand identity. We collaborate with industry leaders like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to design innovative credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our cutting-edge platform seamlessly integrates advanced payment solutions, intelligent underwriting, and user-friendly design, enabling brands to offer powerful financial products without the need to become a bank.Co-branded credit cards represent over $300 billion in annual expenditure in the U.S., yet many are still rooted in outdated banking systems. Imprint stands as the modern alternative: adaptable, technology-driven, and designed for today’s savvy consumers. Supported by prominent investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team to reshape payment methods and drive brand growth. If you're eager to work in a fast-paced environment, tackle challenging problems, and make a significant impact, we want to hear from you!Discover more about our innovations on Imprint's Technology blog.Our TeamThe Data Engineering team at Imprint is pivotal in constructing and scaling our data infrastructure, which underpins product development, analytics, operations, and machine learning throughout the organization. We manage the pipelines, platforms, and processes that empower our stakeholders to trust and utilize our data effectively.Your RoleAs a Senior Data Engineer, you will be responsible for designing and implementing our data platform, addressing our most challenging technical issues. You will lay the groundwork for Imprint's upcoming decade of growth by scaling our infrastructure for rapid expansion, providing insights that inform multi-million dollar decisions, facilitating secure partner data sharing, and transforming how our teams leverage data. Join us in building a platform that not only meets today's demands but also anticipates future opportunities.Key ResponsibilitiesInfrastructure Development & ScalingDesign and optimize our next-generation data platform, leveraging tools such as Snowflake, dbt Cloud, and real-time CDC pipelines for enterprise-level scalability.Create secure and compliant partner data delivery systems utilizing Snowflake shares, S3/SFTP integrations, and Marketplace listings.Develop critical financial reporting pipelines ensuring exceptional accuracy and reliability.Pursue Technical ExcellenceImplement best practices in data engineering, ensuring robust data governance and security.Collaborate with cross-functional teams to enhance data accessibility and usability.