Manager of Business Intelligence and Analytics Engineering

Join Sierra as a Software Engineer specializing in Intelligence, where you will play a pivotal role in developing innovative software solutions that enhance our intelligence capabilities. Collaborate with a dynamic team of professionals in a stimulating environment that encourages creativity and technical growth.

About Matter IntelligenceMatter Intelligence is pioneering the future of vision AI by integrating a groundbreaking sensor capable of perceiving molecular chemistry, temperature, and 3D shapes with a Large World Model—our sophisticated intelligence engine tailored for the physical realm. This innovative system transcends mere visual perception; it comprehensively understands everything from a single pixel. We term this as Superintelligent Vision.Our distinguished team has contributed technologies to Mars missions for NASA/JPL, co-established and led infrastructure initiatives for OpenAI, developed advanced sensors for U.S. Defense, and created fundamental algorithms for spectral and 3D imaging. Together, we are committed to establishing the next frontier for vision and intelligence in the physical world.About the RoleAt Matter, we are developing technology that sits at the intersection of hardware, AI, and Earth observation. This position is uniquely positioned between Engineering and Operations.As the inaugural hire in this role, you will collaborate closely with various teams across Matter, including sensor engineers, ML researchers, satellite systems designers, sales, and leadership. Your primary responsibility will be to understand their workflows, pinpoint opportunities where intelligent agents can condense hours of work into mere seconds, and design these solutions. One week you might be crafting a multi-agent workflow for automating competitive intelligence tracking, and the next, you could be developing an internal tool that provides the hardware team with instant access to five different documentation systems. You will take ownership of challenges from discovery through deployment and continuous iteration.This position is not suited for individuals who prefer to follow a ticket queue. It is tailored for a developer with robust computer science fundamentals who can work autonomously, build trust within a demanding organization, and deliver production-grade agents that are essential to our operations.Key ResponsibilitiesAgent Development & EngineeringDesign, develop, test, and maintain production-quality AI agents and tools utilizing contemporary frameworks and APIs.Architect robust, secure, observable, and maintainable agentic systems.Create AI-native user experience patterns that facilitate seamless adoption: including human-in-the-loop checkpoints, auditability, graceful failure/rollback, and feedback mechanisms.Choose and integrate suitable tools, memory systems, and retrieval strategies tailored to each agent's specific use case.Produce clean, well-documented, version-controlled code, setting the standard for quality.Product Discovery & RequirementsEngage with stakeholders to gather requirements and translate them into effective AI solutions.

Lyft’s Self-Serve Intelligence team builds the systems that help riders and drivers resolve issues on their own. Part of the Safety & Customer Care organization, this group focuses on backend services, APIs, and AI-powered products that let customers get help without waiting for an agent. The team’s work includes AI Assist (such as AI Agents), automations, and self-service workflows, all designed to make support fast and reliable. Role overview As a Senior Software Engineer on this team, the main responsibility is to design, build, deploy, and maintain backend systems and AI-driven tools that handle customer problems automatically. These solutions use Generative AI and automation to deliver scalable, dependable self-service experiences for millions of Lyft riders and drivers. What you will do Design and develop backend services and APIs for AI-powered self-service products Build and maintain AI Agents and automation tools that resolve customer issues without agent involvement Oversee the full development lifecycle: system design, prototyping, deployment, and ongoing operations Work closely with product managers, designers, data scientists, and operations teams to deliver robust solutions Focus on reliability, scalability, and operational excellence in all systems Location This role is based in San Francisco, CA.

Why Join AngelListAt AngelList, we are committed to tackling some of the most challenging issues in venture capital and private markets. Join a dynamic team that prioritizes precision, urgency, and strategic thinking. If you are eager to influence the funding and development of startups, this is your opportunity.About AngelListOur mission is to accelerate innovation by enhancing the success rate of startups worldwide. We achieve this by creating a robust financial infrastructure that facilitates investment in transformative companies.AngelList serves as the central hub for venture capital and the startup ecosystem, managing over $171 billion in assets and supporting investments in more than 13,000 startups, including over 300 unicorns. Currently, 57% of premier U.S. VC deals involve investors through AngelList. Our ambitions exceed our current scale.If you are passionate about shaping the future of private markets, we invite you to join our journey.About the Role:We are looking for Senior Software Engineers to be a part of our Intelligence team. In this role, you will be responsible for designing, developing, and maintaining services that facilitate retrieval, semantic search, agent orchestration, model integrations, and data pipelines, transforming our proprietary signals into actionable product features.For more insights into our product direction, please visit: our blog.

OverviewAt Pulse, we are revolutionizing data infrastructure by addressing the critical challenge of extracting precise, structured information from intricate documents at scale. Our innovative approach to document understanding integrates cutting-edge schema mapping with advanced extraction models that outshine traditional OCR and parsing tools.Based in the heart of San Francisco, our dynamic and rapidly expanding team of engineers collaborates with Fortune 100 companies, YC startups, public investment firms, and growth-stage enterprises. With the backing of top-tier investors, we are poised for significant growth.What sets our technology apart is our sophisticated multi-stage architecture:Specialized component detection models for layout understandingLow-latency OCR models designed for targeted extractionAdvanced reading-order algorithms to navigate complex document structuresProprietary recognition and parsing capabilities for table structuresFine-tuned vision-language models for interpreting charts, tables, and figuresIf you are passionate about the convergence of computer vision, NLP, and data infrastructure, your contributions at Pulse will make a direct impact on our clients and the future of document intelligence.

Join our dynamic team at Cloudflare as a Software Engineer specializing in Artificial Intelligence. In this role, you will work on innovative projects that leverage AI technologies to enhance our services and improve user experiences. You will collaborate with cross-functional teams to design and implement solutions that are scalable, efficient, and impactful.

About UsAt Physical Intelligence, we are pioneers in integrating general-purpose AI into the physical realm. Our team comprises dedicated engineers, scientists, roboticists, and innovators focused on creating advanced foundation models and learning algorithms that will empower the robots of today and the physically-actuated devices of tomorrow.To achieve outstanding real-world performance, we prioritize ultra-low system latency, reliable sensor pipelines, and comprehensive engineering that ensures perception and control loops function seamlessly at real-time speeds.As a Runtime Software Engineer, you will be at the forefront of developing low-latency, high-throughput systems that support our physical intelligence model. Your role will not involve designing ML models; instead, you will optimize the entire stack from the operating system to the camera pipeline and networking, ensuring flawless production execution. You will work closely with researchers, platform engineers, and robotics operators to identify performance bottlenecks and maximize system efficiency.The TeamOur Runtime team is crucial in creating the foundational platform that our robots, sensors, and evaluation systems depend on. This team excels in Linux systems engineering, camera and sensor integration, robot actuator control, networking, real-time input/output, and performance optimization tools. They ensure that our machine learning models and control systems function within strict latency constraints and are resilient under real-world conditions.Your ResponsibilitiesManage Real-Time Pipelines: Design and implement low-latency, high-reliability sensor and actuator pipelines utilizing Linux, drivers, and middleware.Enhance System Performance: Analyze and optimize computational efficiency across I/O, memory, scheduling, networking, and storage to satisfy real-time requirements and boost throughput.Develop OS-Level Features: Modify or expand Linux components, drivers, and scheduling mechanisms to ensure deterministic performance under load.Streaming & Video Systems: Create and refine real-time video streaming systems with precise frame timing and packet scheduling.Ensure Reliability & Debugging: Develop tools for profiling, tracing, and resolving timing challenges across distributed systems and hardware interfaces.Collaborate Across Functions: Partner with researchers, hardware engineers, and operational teams to drive system performance and reliability.

OverviewAt Pulse, we are revolutionizing the way data infrastructure operates by addressing the critical challenge of accurately extracting structured information from intricate documents on a large scale. Our innovative document understanding technique merges intelligent schema mapping with advanced extraction models, outperforming traditional OCR and parsing methods.Located in the heart of San Francisco, we are a dynamic team of engineers dedicated to empowering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. Backed by top-tier investors, we are rapidly expanding our footprint in the industry.What sets our technology apart is our sophisticated multi-stage architecture, which includes:Specialized models for layout understanding and component detectionLow-latency OCR models designed for precise extractionAdvanced algorithms for reading-order in complex document structuresProprietary methods for table structure recognition and parsingFine-tuned vision-language models for interpreting charts, tables, and figuresIf you possess a strong passion for the convergence of computer vision, natural language processing, and data infrastructure, your contributions at Pulse will significantly impact our clients and help shape the future of document intelligence.

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 OmniOmni is an innovative business intelligence and embedded analytics platform designed to empower customers to explore, comprehend, and leverage their data effectively. With our headquarters situated in the vibrant city of San Francisco and additional hubs located throughout EMEA and APAC, we proudly partner with esteemed investors such as ICONIQ Growth, Theory Ventures, First Round Capital, Redpoint Ventures, Google Ventures, Snowflake Ventures, and Databricks Ventures.About the RoleAs a Software Engineer focused on AI Frontend, you will play a pivotal role in developing user interfaces and functionalities for our AI-driven analytics service. This position offers you the unique opportunity to craft intelligent workflows and design AI-integrated tools that enhance user experiences.You will collaborate with a highly skilled team and possess the autonomy to prioritize tasks and tackle challenges independently or in conjunction with your colleagues. At Omni, all software engineers engage across our technology stack to address customer needs, whilst our engineering culture emphasizes rapid, iterative shipping without compromising on performance and quality.Recent projects include:Fully functional spreadsheets integrated within our BI platform.Development of an MCP server for Blobby, our AI chatbot capable of generating queries within the constraints of a semantic data model.Facilitating CSV uploads.Enabling data writing capabilities to Google Sheets.

Join Arbital Health as an Artificial Intelligence Engineer, where you'll be at the forefront of innovation, developing intelligent solutions that transform healthcare. Your role will involve designing, implementing, and optimizing AI algorithms to enhance patient care and operational efficiency. Collaborate with cross-functional teams to tackle complex challenges and drive the future of health technology.

Join Cloudflare as a Senior Threat Intelligence Engineer, where you will play a pivotal role in enhancing our security posture by analyzing and mitigating cyber threats. You will collaborate closely with cross-functional teams to develop strategies that protect our global network and safeguard our customers' data. Your expertise will be essential in driving threat intelligence initiatives, ensuring that we remain ahead of emerging threats.

Join our dynamic team at Databricks as a Senior Software Engineer specializing in Customer Experience Intelligence (CXI). In this role, you will be at the forefront of shaping and enhancing customer interactions through innovative software solutions. Your expertise will drive the development of tools that empower our clients to leverage data for superior customer engagement.

Role overview This Software Engineer position at OpenAI focuses on inference and performance optimization. Based in San Francisco, the role centers on increasing the speed and efficiency of advanced AI systems. Collaboration with experienced engineers is a key part of the work, with an emphasis on refining AI performance. What you will do Work on optimizing the performance of AI inference systems Collaborate with other engineers to improve efficiency and speed Contribute to solutions that enhance AI system capabilities Location This role is based in San Francisco.

Join Condor Software as a Full-Stack Platform EngineerAt Condor, we are revolutionizing the financial infrastructure that supports clinical development. With billions invested annually in discovering and developing new therapies, we strive to connect clinical operations and finance into a cohesive system. By integrating real-time financial intelligence, we empower R&D and finance leaders with the tools they need to make informed, high-stakes decisions.We are an AI-driven, pharma-native infrastructure provider, scaling industry standards in collaboration with top-tier partners. Our platform facilitates prediction, control, and execution in the most complex R&D environments worldwide.The Importance of Your RoleHaving established ourselves as a trusted partner for enterprise teams, we are now focused on the challenging task of scaling our platform to meet increasing demands. As a rapidly growing company, backed by prominent investors like Felicis and 645 Ventures, this is a unique opportunity to contribute to the foundational infrastructure that will redefine how therapies reach patients.Your ResponsibilitiesAs a Full-Stack Platform Engineer, you will be pivotal in building and scaling the core platform that supports the financial intelligence infrastructure relied upon by leading biopharma companies. This role encompasses critical engineering tasks at the intersection of backend systems, cloud infrastructure, and intelligent automation, with a strong emphasis on reliability and scalability.Your primary focus will be on backend architecture, where you'll design and implement services that drive complex financial and operational workflows. You'll be instrumental in shaping data flow, workflow orchestration, and enabling emerging AI-driven capabilities. This role goes beyond simple integration; you'll be crafting robust primitives that support other teams as our product and customer base expand.Working as a core member of a cross-functional product team, you will closely collaborate with product managers, designers, quality engineers, and data specialists to transition features from concept to production. While backend expertise is crucial, you will also engage across the stack to ensure the platform's capabilities are effectively leveraged.

About the TeamJoin our dynamic Intelligence and Investigations team at OpenAI, where our mission is to quickly identify and disrupt the misuse of AI technologies, ensuring their responsible application. We are passionate about uncovering new abuse patterns, assessing risks, and collaborating with our internal partners to develop effective strategies for mitigating potential misuse. Our work is integral to OpenAI's commitment to advancing AI for the benefit of all humanity.About the RoleAs a Fullstack Engineer specializing in Intelligence Systems, you will play a pivotal role in enhancing our Intelligence & Investigations initiatives at OpenAI, ensuring the ethical use of AI across our diverse product offerings. We are on the lookout for a proactive individual who can prototype, develop, and maintain innovative tools and processes that integrate OpenAI’s models and infrastructure, empowering our internal teams to analyze extensive open-domain datasets, combat abuse, and make informed, high-stakes decisions.In this role, you'll be the essential technical liaison bridging our data scientists, subject matter experts, and technical teams such as Platform Integrity, Safety Systems, and Research. You will lead the creation of cutting-edge tools and processes that enhance our capabilities in large-scale data collection, investigations, and comprehensive analysis.The ideal candidate will possess strong analytical skills and a solid technical background, coupled with experience in both prototyping and developing scalable systems capable of swiftly identifying emerging threats, processing vast datasets, and providing actionable insights to stakeholders. We value professionals with excellent communication skills, a passion for continuous learning, and a dedication to fostering the responsible use of AI.This position is based in San Francisco, CA, and operates under a hybrid model of three in-office days per week, with relocation assistance available for new team members.In this role, you will:Design, develop, and maintain scalable intelligence systems that identify, triage, and monitor targeted signals from both open-source and internal data sources.Interpret requirements and deliver comprehensive solutions that navigate complex intelligence challenges while ensuring high standards of code quality and scalability.Serve as a vital technical bridge connecting our Intelligence objectives with technical teams such as Platform Integrity, Safety Systems, and Research.Contribute to the development of the team’s technical strategy and design intuitive user interfaces for non-technical investigators and analysts.Prototype innovative applications and tools that enhance our investigative capabilities.

Role Overview Altana AI is looking for a Lead Business Intelligence Engineer to guide data-driven decision making throughout the company. This position leads a team focused on building and maintaining BI solutions that give stakeholders clear, actionable insights. What You Will Do Lead and mentor a team of BI engineers Design and implement business intelligence tools and dashboards Collaborate with stakeholders to identify data needs and translate them into technical solutions Ensure the delivery of reliable, accurate, and timely analytics Location This role is based in Brooklyn, NY or San Francisco, CA.

Join SoFi as a Senior Cyber Threat Intelligence Engineer, where you will play a crucial role in safeguarding our digital assets. You will analyze threat data, develop actionable intelligence, and collaborate with cross-functional teams to enhance our security posture. Your expertise will be pivotal in identifying and mitigating potential risks while leveraging advanced analytical tools.

About UsAt Physical Intelligence, we are at the forefront of integrating general-purpose AI into the physical realm. Our talented team comprises engineers, scientists, roboticists, and innovators dedicated to creating foundational models and advanced learning algorithms to enhance the robots of today and shape the physically-actuated devices of tomorrow.Your RoleAs a Controls Engineer, you will be pivotal in designing and implementing the algorithms that ensure our robots operate smoothly, predictably, and safely in diverse and uncertain environments.The Controls TeamOur Controls Team is responsible for developing and fine-tuning essential feedback and model-based algorithms, real-time processing loops, simulations, and actuator/sensor subsystems that contribute to the stability and reliability of our robots. Collaborating closely with research, hardware, and operations teams, you will troubleshoot complex system behaviors and ensure that our learning-based systems function under rigorous real-time constraints in unpredictable settings.Key ResponsibilitiesDesign and Implement Control Algorithms: Develop PID, LQR, MPC, inverse dynamics, and feedforward controllers.Model Development and Validation: Create and refine physical and inverse dynamics models for simulations and control design.Real-Time Loop Development: Write and optimize runtime control loops, including neural network-driven control.Robotic Integration: Integrate and tune robotic arms, mobile bases, teleoperation systems, and full-body platforms.Debugging System Behaviors: Diagnose and address hardware, software, and runtime issues using first-principles reasoning.Sensor/Actuator Subsystem Development: Collaborate with embedded systems, drivers, and communication protocols (CAN, SPI, I2C, Ethernet).Cross-Functional Collaboration: Partner with researchers, platform engineers, and operators to ensure consistent and reliable real-world performance.Support Research and Development: Prototype configurations, gather structured datasets, and work closely with researchers to iterate on solutions.