Lead Engineer - Data and Integrations

As a Lead Engineer specializing in Data and Integrations at onoshealth, you will play a pivotal role in driving innovation and improving healthcare solutions through effective data management and system integrations. You will lead a team of talented engineers, oversee complex projects, and work closely with stakeholders to ensure the delivery of high-quality solutions that meet our clients' needs.

At Trunk, our vision is to empower teams to produce exceptional software efficiently. We have collaborated with engineering teams at leading companies such as Google X, Zillow, and Brex to identify the root causes of build failures, tackle flaky tests, and accelerate code deployment without compromising on reliability. While AI has revolutionized code writing, the deployment process remains a bottleneck. Issues such as merge conflicts, unreliable tests, and inconsistent code quality hinder productivity and morale. Our goal is to help engineering teams maintain focus on design, implementation, and delivery, fostering a more satisfying work environment.Founded in 2021 by former engineers from Uber, Google, YouTube, and Microsoft, Trunk has successfully raised $25 million in Series A funding, led by Initialized Capital and a16z, with additional investments from notable industry figures including the founders of GitHub and Apollo GraphQL.Our CI pipelines often operate as black boxes, causing engineers to spend valuable hours troubleshooting failures that may stem from flaky tests or other infrastructural issues. Trunk aims to demystify this process by making failures visible and actionable.We are on the frontier of innovation, building a data layer that enables AI agents to analyze CI processes, diagnose failures, propose solutions, and ultimately facilitate autonomous code deployment.We are seeking a Tech Lead who will take ownership of the data platform driving our flaky test detection and CI analytics solutions. You will be responsible for designing and developing systems capable of processing millions of test runs every hour, unveiling actionable insights, and establishing the groundwork for AI-enhanced CI workflows.We are at a pivotal moment in our growth. The challenges of scalability are significant and increasing. The future of development tools is evolving with AI at its core, and we are laying the foundational data infrastructure to support this transformation. If you are passionate about solving complex systems problems that have a direct impact on customers, this role is for you.

Located in San Francisco, Arine is an innovative and rapidly expanding healthcare technology and clinical services firm dedicated to delivering the safest and most effective treatments tailored to the evolving needs of individuals.In the healthcare landscape, medications can sometimes do more harm than good. The mismanagement of drugs and dosages results in over $528 billion wasted annually in the U.S. healthcare system. Arine is transforming healthcare standards by addressing these challenges through our advanced software platform (SaaS). We leverage state-of-the-art data science, machine learning, AI, and deep clinical knowledge to create a patient-centered approach to medication management, facilitating the development and delivery of personalized care plans at scale for patients and their healthcare teams.At Arine, we are passionate about enhancing the lives and health of complex patients who significantly influence healthcare costs and have been historically difficult to reach. These individuals face a myriad of challenges, including complex medication prescriptions across various providers, chronic disease medication management, and barriers to accessing care. Supported by top healthcare investors and partnerships with leading healthcare organizations, we provide actionable recommendations and initiate clinical interventions that yield substantial health improvements for patients and cost savings for our clients.Why Choose Arine as Your Workplace?:Collaborative Team Culture - Our shared mission drives our collective efforts, inspiring us to excel in our work. We are passionately committed to the innovation necessary to lead in medication intelligence.Impactful Contribution to Healthcare - We are saving lives and empowering individuals to achieve better health outcomes.

Join Hilbert, a pioneering data science-first engine designed to empower B2C teams with predictive insights into user behaviors, revenue drivers, and sustainable growth strategies. Our unique approach transforms lengthy decision-making processes into efficient, minute-long analyses.Trusted by Fortune 10 enterprises and cherished brands like FreshDirect, Blank Street, and Levain Bakery, Hilbert is at the forefront of growth strategies. We also collaborate with leading AI firms to co-create innovative solutions.We are seeking a dynamic Forward Deployed Data Engineer to connect our clients' intricate data environments with Hilbert's AI Growth Engine. This is not your typical role; you will be the mastermind architecting the integration bridges. You will manage the entire integration lifecycle, from the initial technical discovery discussions with mid-market retailers to deploying tailored solutions within large enterprise infrastructures.Your responsibility includes engaging with clients, mapping their distinctive data structures to our standard models, ensuring that our AI/ML models have a precise and high-quality understanding of their business landscapes.

Join OpenAI's Integrity Data Science team, where our mission revolves around the responsible deployment of powerful AI technologies. We are dedicated to ensuring that our users can trust our products by developing measurement systems, experimental practices, and strategies to detect and mitigate misuse, fraud, and evolving adversarial behaviors.As we expand the scope and urgency of our Integrity initiatives across various product surfaces and market strategies, we are seeking a passionate Data Science Manager. In this role, you will play a pivotal role in scaling our team, enhancing execution across multiple Integrity domains, and fostering collaboration with Product, Engineering, Operations, and related teams (e.g., Growth, Ads).This position is located at our San Francisco headquarters (in-office).

About ReductoAt Reducto, we empower AI teams to seamlessly integrate real-world enterprise data with unparalleled precision.Much of the vital enterprise data—from financial reports to healthcare records—remains trapped in unstructured formats like PDFs and spreadsheets. Our innovative vision models enable these documents to be read just as a human would, facilitating product development, model training, and process automation on a grand scale.Having achieved remarkable growth, with a 7x year-on-year revenue increase, we proudly serve hundreds of clients, including top AI teams such as Harvey, Vanta, Scale, and major enterprises like FAANG and leading trading firms.With over $100 million raised from premier investors including A16z, Benchmark, and First Round Capital, we are on the lookout for a talented Lead Product Engineer.The RoleAs our Lead Product Engineer, you will be at the forefront of defining and developing features and platforms that drive our customers' essential business workflows. Collaborating closely with our founders and leadership, your mission will be to make document data accessible to everyone—from developers to non-technical users. You will create a comprehensive suite of products that allows clients to extract the data they need from their documents in the formats they require. Your responsibilities will include developing interactive document editors and intuitive interfaces for managing large datasets. In addition to shaping the product roadmap, you will help foster a culture focused on building outstanding products.

At Klaviyo, we celebrate the distinctive backgrounds, experiences, and perspectives that each of our team members, affectionately known as Klaviyos, brings to our workplace every day. We believe that everyone deserves an equal opportunity for success and value the unique experiences each individual contributes beyond traditional job qualifications. If you feel you are a close but not perfect match for this role, we encourage you to apply. Interested in discovering more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to take charge of their own destinies.Are you a demand generation marketer with a strong analytical mindset? A creative storyteller eager to understand your audience and craft impactful programs that inspire action? We are seeking an Integrated Marketing Lead who possesses the ideal blend of precise audience segmentation, relevant messaging, strategic media planning, experimental design, and a holistic understanding of the customer journey, all aimed at driving ROI and scalable outcomes. In this pivotal role, you will collaborate with Product Marketing, Content, Creative, Lifecycle, Web, and Field teams to help Klaviyo advance our vision for K:Service, our AI-driven customer service platform that integrates Customer Hub, Customer Agent, and Helpdesk, enabling brands to transform every support interaction into a revenue-generating and loyalty-building moment—not just a resolved ticket. You will report directly to the Sr. Director of Integrated Marketing.

About Watney RoboticsWatney Robotics is pioneering the future of autonomous robotics to enhance critical infrastructure development. Following a successful seed funding round of $21 million led by Conviction, Abstract, and A*, we are collaborating with some of the world's leading hyperscalers to expedite data center construction and maintenance.This is your chance to join us at a pivotal stage of our journey, where you can influence the growth from prototype to full-scale production fleets. You will be instrumental in delivering operational systems, formulating deployment strategies, and making a significant impact in a transformative robotics company.Your RoleAs the engineering-focused operator, you will oversee the deployment processes for our clients, ensuring seamless systems integration, effective go-live execution, and consistent operational performance. If your background includes coding, log debugging, and managing field operations, this position allows you to leverage your diverse skill set. You will convert pilot programs into large-scale production, showcasing the comprehensive capabilities of Watney's robots and delivering essential tasks that exceed the competition.Your ResponsibilitiesManage end-to-end deployments: Conduct site surveys, security assessments, integration mapping, phased rollouts, and transition processes.Develop operational frameworks: Create runbooks, SOPs, and dashboards; oversee uptime, task accuracy, MTTR/MTBF, and quality; lead root cause analysis and resolution efforts.Feedback integration: Translate field insights into precise requirements for autonomy, control systems, and teleoperations; prioritize enhancements that impact key metrics.Act as the customer liaison: Collaborate with operators, IT teams, and executives regarding service level agreements and acceptance criteria; build trust through effective on-site and virtual communication.Standardize processes: Package deployment playbooks and reusable integrations to scale from initial sites to global implementations.Deliver lasting integrations: Connect robots with DCIM/CMMS (ServiceNow), ticketing systems, inventory management, IAM/SSO, network configurations, and observability tools; define and implement APIs, schemas, webhooks, and messaging queues (REST/gRPC, JSON, Kafka/MQTT).Your QualificationsProven operator (5–10 years): Experience leading critical deployment initiatives; evaluate success based on outcomes rather than activities.Executive presence: Capable of setting clear expectations, delivering succinct updates, and influencing stakeholders.Exceptional delivery: Skilled in providing high-touch service and ensuring customer satisfaction.

About Us:At Notion, we empower individuals and teams to create stunning productivity tools tailored to their unique workflows. In a digital landscape crowded with applications and tabs, our platform unifies documents, notes, projects, calendars, and emails—all enhanced with AI capabilities to streamline tasks and provide quick insights. Trusted by millions, including industry leaders like Toyota, Figma, and OpenAI, Notion is chosen for its versatility, helping users optimize their time and resources.We believe in the value of in-person collaboration, making it a cornerstone of our company culture. To foster teamwork, all employees are required to work from our San Francisco office on Mondays, Tuesdays, and Thursdays—our designated Anchor Days. Certain roles may necessitate additional in-office presence.About The Role:As our company expands at an impressive pace, we are on the lookout for skilled Data Engineers to join our finance team. In this role, you will be instrumental in constructing robust datasets and data pipelines that underpin our financial reporting. Your work will bridge our product, financial, and operational systems, creating reliable processes that drive our growth. If you have a passion for data analytics, complex modeling, and innovative problem-solving, we would love to have you on board.What You'll Achieve:Develop essential datasets that act as the definitive sources for Notion’s financial reporting, integrating information from financial systems, business databases, and our product.Collaborate closely with our Finance, Monetization Engineering, Business Intelligence, and Data Science teams to address critical financial analysis and reporting requirements.Design, construct, and oversee data pipelines that not only meet current demands but are also scalable as our data needs grow.Facilitate widespread access to high-quality financial data across the Finance, Staff, and go-to-market teams.Skills You'll Need to Bring:A minimum of 4 years of experience as a data engineer, focusing on building core datasets and supporting various business sectors, particularly in product and high-volume data environments. A strong enthusiasm for analytics use cases, data modeling, and tackling intricate data challenges is essential.Experience in creating integrations and reporting datasets for payment, financial, and business systems such as Stripe, NetSuite, Adaptive, Anaplan, Salesforce, or equivalent.A proactive mindset, with the ability to gather and synthesize high-impact needs from business partners, designing and implementing suitable technical solutions.

About Us:At Notion, we empower teams to create stunning tools tailored for their unique workflows. In a digital landscape filled with countless applications and tabs, Notion stands out as the singular platform where teams can consolidate their efforts—effortlessly merging documents, notes, projects, calendars, and emails, all enhanced with AI to expedite processes and uncover insights. Our diverse user base, ranging from individuals to giants like Toyota, Figma, and OpenAI, appreciates Notion for its versatility, efficiency, and cost-saving capabilities.Collaboration is at the heart of Notion's culture. To foster this, all team members are required to work from our offices on Mondays, Tuesdays, and Thursdays, which we refer to as Anchor Days. Certain teams may have additional in-office requirements.About The Role:As Notion experiences rapid growth, we are on the lookout for skilled Data Engineers to join our dynamic team. Your role will involve constructing foundational datasets and pipelines that bolster our go-to-market initiatives. You will play a pivotal role in integrating our product and business systems, establishing robust processes that drive our success. If you have a passion for analytics, data modeling, and unraveling intricate data challenges, we would love to have you on board.What You'll Accomplish:Develop core datasets that serve as the authoritative sources for Notion’s marketing and sales reporting, ensuring seamless data flow between business systems and our product.Collaborate closely with our Marketing, Sales, Revenue Operations, Business Technology, Business Intelligence, and Data Science teams to fulfill critical reporting and analysis needs.Design, implement, and oversee pipelines that address current demands while being capable of scaling alongside our expanding data landscape.Promote accessibility to high-quality data across go-to-market teams, staff, and the organization at large.Required Qualifications:Minimum of 3 years of experience as a Data Engineer, focusing on building core datasets and supporting various business verticals, particularly in high-data-volume product and business environments. A strong enthusiasm for analytics, data models, and solving complex data challenges is essential.Proven experience working with Marketing and Sales datasets within a SaaS context, including integrations with business systems such as Salesforce, Netsuite, Marketo, and Zendesk.Self-motivated individual who proactively gathers and synthesizes impactful business needs, designing and implementing effective data solutions.

Join Our Visionary Team Revolutionizing Construction with Advanced AutonomyAt Bedrock Robotics, we are committed to transforming artificial intelligence from theoretical concepts into practical applications that enhance the real world. Our talented team consists of seasoned professionals who played pivotal roles in the inception of Waymo, the scaling of Segment to a $3.2 billion acquisition, and the growth of Uber Freight to $5 billion in revenue. We are at the forefront of deploying autonomous systems on heavy construction machinery nationwide, significantly improving the timelines of multi-billion-dollar infrastructure projects while enhancing job site safety.With $350 million in backing, we are rapidly addressing the increasing demand for housing, data centers, and manufacturing facilities while tackling the construction industry's labor shortages.This role is where cutting-edge algorithms intersect with hands-on construction. You will work alongside industry veterans and elite engineers to tackle real-world challenges that simulations alone cannot resolve. If you are eager to leverage groundbreaking technology to address significant issues and collaborate with a talented team, we invite you to apply.The Integration Engineer at Bedrock Robotics, Inc. will be based in San Francisco, CA. This role is crucial for the design, manufacturing, and testing of our autonomous hardware and software systems. You will be responsible for maintaining uptime, troubleshooting, and resolving fleet-related issues. Additionally, you will bridge the gap between our technical stack (software, hardware, and everything in between) and business applications, guiding the development and deployment of autonomous machines in both new and existing construction projects.Key responsibilities include: (i) integrating hardware and software components to create functional autonomous machines; (ii) conducting fleet issue triage, including debugging and disassembling machines to determine root causes of reported issues; (iii) designing new computer systems optimized for autonomous operations; (iv) integrating new sensors and collaborating with software engineers to develop back-end solutions for data accessibility; and (v) machine integration, which involves evaluating the electrical, mechanical, and software architecture of control systems, along with contributing to hardware and software design reviews.This position offers a hybrid work environment, allowing employees to work remotely within the United States, with a requirement to be present in the San Francisco office at least three days a week. While remote work is permitted, no travel is necessary beyond regular commuting.

Join HockeyStack, where we are revolutionizing B2B sales and marketing through advanced AI systems.We seamlessly integrate with a multitude of tools across the go-to-market stack, merging first and third-party data to create the industry's most comprehensive event-level data foundation. Our capabilities include:Analyzing every deal won and lost to uncover revenue-driving patterns, enabling real-time guidance for sales representatives.Identifying key factors influencing the sales pipeline, providing immediate insights without the need for extensive manual analysis.Learning from every outcome and interaction, continuously improving our system's performance and accuracy.Unlike others, our structured reasoning layer ensures deterministic and self-improving agent execution. As a Y Combinator alum with a $26M Series A led by Bessemer Venture Partners, we are experiencing rapid growth with an 8-figure ARR and over 60 TB of GTM data processed. We are looking for dynamic individuals ready to succeed. This position can be based in our San Francisco HQ or be fully remote. Your MissionAs the Backend Tech Lead for the Data API team, you will design and scale our core API infrastructure, which is critical for Marketing, Sales, and Customer Success operations. You will oversee the engineering of services that manage over 60 TB of GTM data, ensuring the delivery of low-latency, high-availability APIs that provide valuable buyer insights to our internal applications and customer-facing dashboards.This is an exceptional opportunity for an engineer eager to take ownership of large-scale data and API infrastructure while fostering engineering excellence and rapid deployment in a fast-paced environment. What You’ll DoLead the design and development of APIs to share GTM data with both internal and external users.Oversee the architecture for large-scale data access patterns, focusing on performance, cost-effectiveness, and reliability.Work closely with AI, data, and frontend teams to ensure smooth integrations and clear API contracts.Address complex challenges including versioning, rate-limiting, authentication, query complexity, and cache invalidation in a rapidly evolving product landscape.

Astranis is at the forefront of satellite technology, creating advanced satellites designed for high orbits to extend humanity's presence within the solar system. Our satellites deliver reliable and secure networking solutions to a diverse range of sophisticated clients worldwide, including large enterprises, sovereign governments, and the US military. With five satellites successfully launched and a pipeline of more than $1 billion in commercial contracts, we are positioned for significant growth.Astranis stands out as the preferred partner for satellite communications, meeting the highest standards for uptime, data security, network visibility, and customization. We have successfully secured over $750 million in funding from prominent investors such as Andreessen Horowitz, Blackrock, and Fidelity, and our talented team consists of 450 engineers and entrepreneurs. Our headquarters span 153,000 square feet in Northern California, where we design, build, and operate our satellite systems.Team Lead of Program Integration & OperationsAs the Team Lead for Program Integration & Operations, you will play a pivotal role in building and managing the execution backbone of our program management organization. Your leadership will guide a dynamic, high-impact team focused on program integration, configuration discipline, and clear planning as we scale our spacecraft design, manufacturing, and ground operations. This position combines strategic execution with team leadership, allowing you to spearhead high-impact initiatives while enhancing the team's capabilities and standards.In a hybrid operational environment, you will navigate the fast-paced demands of commercial spacecraft development alongside the rigorous requirements of US Government programs. Your role will ensure that we implement the necessary structure to maintain agility where possible and uphold rigor where needed. As we expand our spacecraft production and operations, your focus on execution precision and speed will be crucial to our competitive advantage. You will influence how we transform engineering designs into reliable deliveries, ensuring alignment of our roadmap, resources, and commitments amidst growing complexity in both commercial and government programs. This position offers substantial ownership within the engineering department and the chance to establish robust operating mechanisms that significantly enhance delivery outcomes.

Mapbox stands as a premier real-time location platform, empowering a new generation of location-aware businesses. Our platform uniquely provides organizations with a comprehensive suite of tools essential for navigating people, packages, and vehicles across the globe. With over 4 million registered developers choosing Mapbox for its flexibility, security, and privacy compliance, companies leverage our applications, data, SDKs, and APIs to craft tailored and immersive experiences that captivate their customers.About the Search Data TeamThe Search Data team is responsible for providing address, place, and points of interest (POI) data for global searches across various countries. This functionality is critical for our clients’ applications, and our team collaborates closely with the Maps and Navigation divisions at Mapbox. We handle batch data from a multitude of sources, utilizing ETL data pipelines to prepare it for our search engines. This work presents diverse challenges, including algorithm development, scalability, and quality assessment. As a Software Development Engineer on the Search Data team, you will engage with vast datasets—hundreds of millions of records—playing a crucial role in developing sophisticated mapping and navigation software for vehicles, web applications, and mobile devices.With AI increasingly integrated into engineering workflows, we seek engineers who can thoughtfully incorporate AI into design, development, and decision-making. Our interview process will include discussions surrounding your use of AI in engineering.

Join Our Innovative Team at MotherDuckAt MotherDuck, we are dedicated to revolutionizing data warehousing, making it enjoyable and seamless for developers and data professionals. Our cloud-hosted version of DuckDB is transforming the way analytics is handled, enabling rapid internal and customer-facing insights. Collaborating with the creators of the world’s fastest-growing query engine, we aim to harmonize local development with cloud operations, enhancing both software and data engineering workflows. Our diverse team consists of experienced and passionate individuals who are committed to making a difference.Your Role and ImpactWe are looking for a talented Data Implementation Engineer to spearhead critical data warehouse projects for our customers. This role presents a unique chance to influence our Technical Engagement function and ensure customers effectively adopt, scale, and thrive using MotherDuck. The perfect candidate will possess strong expertise in database architecture, data modeling, and data integration, along with the initiative to drive projects forward, the ability to simplify complex decisions, the creativity to challenge traditional norms, and the agility to adapt to the dynamic needs of our clients.You will craft architectures that facilitate efficient data utilization, eliminate obstacles with clarity, and empower clients to achieve production readiness confidently. This position is available in our offices located in Seattle, San Francisco, or New York.

About Hebbia Hebbia is an innovative AI platform designed for investors and bankers, focused on generating alpha and driving significant upside in financial markets. Established in 2020 by George Sivulka and supported by prominent investors such as Peter Thiel and Andreessen Horowitz, Hebbia empowers investment decisions for leading firms like BlackRock, KKR, Carlyle, and Centerview, among others, comprising over 40% of the world’s largest asset managers. Our flagship product, Matrix, is renowned for its industry-leading accuracy, speed, and transparency in AI-driven analysis, trusted to oversee more than $30 trillion in assets globally. We provide the intelligence that gives finance professionals a critical edge in their decision-making processes. Our advanced AI capabilities reveal hidden signals, uncover opportunities, and facilitate rapid decisions with unparalleled assurance. Rather than merely streamlining workflows, we fundamentally transform capital deployment, risk management, and value creation across markets. Hebbia is more than a tool; it is the competitive advantage that enhances performance, alpha, and market leadership. The Team The Growth and Data team at Hebbia serves as the powerhouse that supplies our AI platform with the essential data for reasoning and retrieval. We are tasked with sourcing, indexing, and enriching a vast array of content from diverse sources, including private enterprise data, public datasets, and third-party platforms, ensuring seamless delivery to enhance user workflows and agentic research. We develop robust integrations with platforms such as Snowflake, S3, SharePoint, and Dropbox, allowing organizations to securely unify their data ecosystems. From discovery and search processes to retrieval-augmented deep research within chat matrix frameworks, the data we provide is integral to powering every aspect of the AI platform. The Role As a Backend Software Engineer on Hebbia’s Growth and Data team, you will be responsible for designing and maintaining the robust backend systems that drive user engagement and contribute to Hebbia's ongoing growth. Your role involves architecting and implementing scalable solutions to enhance our platform's capabilities.

Join Our Innovative TeamAt OpenAI, our Applied team is dedicated to responsibly delivering cutting-edge technology to the world. We have launched transformative tools like ChatGPT, DALL·E, and APIs for GPT-4 and GPT-3, alongside managing large-scale inference infrastructure. As we continue to innovate, we are committed to ensuring our powerful tools are utilized ethically and safely.The Scaled Abuse team operates within our Applied Engineering organization, tackling fraudulent activities on our platform. We are seeking a passionate Data Scientist with expertise in anti-fraud and abuse measures to spearhead the design and development of our next-gen anti-abuse systems.Your RoleAs a Data Scientist on the Platform Abuse team, you will play a pivotal role in safeguarding OpenAI’s products from exploitation. Your responsibilities will include identifying and addressing emerging misuse patterns and enhancing our detection methods. This is an exciting opportunity, as we anticipate that many future abuse strategies have yet to be conceived.Primary Responsibilities:Develop and implement systems for fraud detection and resolution, ensuring a balance between fraud loss, implementation costs, and customer experience.Collaborate with finance, security, product, research, and trust & safety teams to effectively combat fraudulent activity on our platform.Keep updated with the latest tools and techniques to stay ahead of sophisticated adversaries.Leverage advanced models such as GPT-5 to enhance our fraud and abuse countermeasures.Ideal Candidate:Experience working within a highly technical trust and safety team, or closely with policy, content moderation, or security teams.Proficiency in programming languages (Python preferred) for exploratory data analysis and deriving actionable insights.Demonstrated ability to propose, design, and conduct rigorous experiments (A/B tests, quasi-experimental designs, etc.) to validate findings.

About the TeamThe Applied Foundations team at OpenAI is focused on ensuring our innovative technology remains secure against a range of adversarial threats. We are committed to safeguarding the integrity of our platforms as they expand. Our team plays a crucial role in defending against financial abuse, large-scale attacks, and various forms of misuse that could compromise user experience or operational stability.The Integrity pillar within Applied Foundations is tasked with developing robust systems that identify and respond to harmful actors and activities on OpenAI’s platforms. As these systems evolve to address significant usage harms, we are seeking skilled data scientists to accurately measure the prevalence of these issues and assess the effectiveness of our responses.About the RoleWe are in search of experienced trust and safety data scientists who can enhance, operationalize, and oversee the measurement of complex actor- and network-level harms. The selected data scientist will be responsible for measurement and metrics across various established harm verticals, including estimating the prevalence of on-platform (and occasionally off-platform) harm, while also conducting analyses to uncover gaps and opportunities in our responses.This position is based in our San Francisco or New York office and may require addressing urgent escalations outside of regular working hours. Many harm areas may involve sensitive content, including sexual, violent, or otherwise disturbing material.In this role, you will:Lead measurement and quantitative analysis for a range of severe, actor- and network-based usage harm verticals.Develop and apply AI-first methodologies for prevalence measurement and other standardized safety metrics, potentially incorporating off-platform indicators and non-traditional datasets.Create metrics that can be utilized for goal-setting or A/B testing where traditional prevalence or top-line metrics may not apply.Manage dashboards and metrics reporting for harm verticals.Perform analyses and generate insights to guide improvements in review, detection, and enforcement processes, while influencing strategic roadmaps.Optimize LLM prompts specifically for measurement purposes.Collaborate with other safety teams to identify key safety issues and develop relevant policies to address safety needs.Provide metrics for leadership to support informed decision-making.

About Our TeamAt OpenAI, our Hardware organization is dedicated to designing cutting-edge silicon and system-level solutions tailored for the complex demands of advanced AI workloads. Our team is at the forefront of innovation, crafting the next generation of AI-native silicon while collaborating closely with software and research partners to co-create hardware that is seamlessly integrated with AI models. Beyond producing production-grade silicon for OpenAI’s supercomputing infrastructure, we develop bespoke design tools and methodologies that accelerate innovation and optimize hardware specifically for AI applications.About the PositionWe seek a highly skilled Signal Integrity (SI) System Design Engineer with extensive expertise in signal integrity and robust system-level design knowledge. This role is based in San Francisco, CA, and follows a hybrid work model, allowing for three days in the office each week. We also provide relocation assistance to new hires.In this role, you will:Lead the signal integrity (SI) design for AI supercomputer products focused on data center applications.Collaborate with chip, package, board, rack, and system engineers, along with design partners, to drive system SI design and develop innovative interconnect and high-speed technologies.Explore and assess new technologies and methodologies to enhance signal and power integrity in product design and contribute your expertise towards the development of new products and technologies.Conduct simulations and modeling to identify and troubleshoot signal integrity challenges.Take charge of system interconnect design, bring-up, and qualification.As our team and role evolve, you will shape and influence the roadmaps for hardware partners in our data center networks, racks, and facilities.

Join our dynamic team as a Lead Data Scientist at brisk-teaching, where you will spearhead innovative data-driven projects that empower learners and educators alike. In this pivotal role, you will leverage your expertise in statistical analysis, machine learning, and data visualization to derive actionable insights from complex datasets.