About EventualAt Eventual, we believe that every innovative AI application—from foundational models to self-driving vehicles—demands the ability to process vast amounts of images, video, and intricate data. Unfortunately, existing data platforms, such as Databricks and Snowflake, are designed for traditional spreadsheet-like analytics, not for the petabytes of multimodal data that truly drive AI advancements. This limitation leads teams to spend excessive time on fragile infrastructure, diverting them from essential research and product development.Founded in 2022, Eventual's mission is to revolutionize data querying, making it as intuitive as working with tables and robust enough to support production workloads. Our open-source engine, Daft, is specifically engineered for real-world AI systems. It effectively coordinates with external APIs, manages GPU clusters, and addresses failures that conventional engines cannot handle. Major companies like Amazon, Mobileye, Together AI, and CloudKitchens are already leveraging Daft for their critical workloads.Our team is composed of industry veterans from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and beyond, and we've quadrupled our size within just a year. With Series A and seed funding from notable investors including Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and prominent angel investors from the co-founders of Databricks and Perplexity, we are actively expanding our team. Join us—Eventual is only at the beginning of its journey.We are currently seeking passionate individuals to join our tight-knit team, who will work together in our San Francisco Mission district office four days a week.

Software Engineer - New Graduate at Eventual (San Francisco, CA)About EventualAt Eventual, we empower developers to create the next generation of AI systems by seamlessly integrating multi-modal data and models. Every innovative AI application—from foundational models to autonomous vehicles—depends on processing vast amounts of images, videos, and complex datasets. However, current data platforms like Databricks and Snowflake are tailored for traditional spreadsheet-like analytics, not the petabytes of multi-modal data essential for AI.Founded in 2022, our mission is to transform the way data—be it images, video, audio, or text—is utilized, making it as intuitive as working with tables while ensuring scalability to support production workloads. Our open-source engine, Daft, is specifically designed for real-world AI systems, coordinating with external APIs, managing GPU clusters, and addressing failures that traditional engines cannot handle.Already, Daft supports crucial workloads at industry leaders like Amazon, Mobileye, Together AI, and CloudKitchens. With backing from Y Combinator, Caffeinated Capital, Array.vc, and prominent angels including co-founders of Databricks and Perplexity, we are just beginning our journey—and we invite you to join us.Please note: This position is full-time and based in our San Francisco office (Mission District). We prioritize in-person collaboration, requiring our engineers to be in the office at least 4 days a week.Your RoleAs a Software Engineering New Graduate, you will collaborate with our engineering team to contribute to Eventual’s core products and our open-source engine. You will gain practical experience in building distributed data systems and products, while learning to design, implement, and test features that support real-world AI and ML workloads.You will receive mentorship from our diverse team (ex-Databricks, AWS, Nvidia, Tesla, GitHub Copilot, Pinecone) and have the chance to make impactful contributions that reach production.Key ResponsibilitiesAssist in developing features for Eventual’s distributed query engine.Contribute to the development of Eventual’s cloud service.Write clean, maintainable code with guidance from senior engineers.Collaborate with the team to design and implement solutions for real-world data challenges.Help with testing, debugging, and documenting core system components.What We Look ForA recent graduate or within 1 year of graduation in Computer Science or related field.Strong understanding of programming languages such as Python, Java, or Scala.Familiarity with distributed systems and cloud computing concepts.Ability to work collaboratively in a team environment.Eagerness to learn and adapt in a fast-paced environment.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

About the RoleAt Sigma Computing, we are revolutionizing how enterprises manage their data through an advanced high-performance platform built on modern data architecture. As we expand our engineering team, we seek passionate engineers eager to tackle complex challenges and deliver significant capabilities across our technology stack. Join our talented team committed to making data effortlessly accessible for all users.What You Will Be DoingDevelop and maintain testing infrastructure and tools, including AI-driven test generation, test harnesses, API testing, hermetic test environments, and performance testing frameworks.Enhance the testability of our systems and services.Utilize modern programming languages and tools such as K6, Rust, and Go.Establish and refine best practices to ensure high-quality standards in our systems and services.Engage in test planning and quality strategy reviews.Collaborate with peers and stakeholders through design and code reviews to uphold best practices across available technologies, dedicating a majority of your time to delivering high-quality code.

About the RoleAt Sigma Computing, we are revolutionizing the field of business intelligence by transforming complex data analysis into an easily accessible format through our high-performance platform designed for the modern data ecosystem. Our Compiler Team is integral to this vision, converting user-friendly spreadsheet actions into highly optimized SQL queries, thus facilitating seamless exploratory analytics on cloud data warehouses. As part of the Compiler Team, you'll collaborate with a dedicated group of engineers focused on developing the core systems and abstractions that empower Sigma's intuitive spreadsheet interface, ensuring speed, reliability, and scalability for all users.What You Will Be DoingAddress key challenges at the crossroads of data modeling, query compilation, and large-scale interactive analytics, enabling end-users to efficiently query data warehouses without requiring extensive technical expertise.Design, implement, and uphold sophisticated compiler infrastructure and intermediate representations that convert spreadsheet operations into optimized query plans.Utilize advanced optimization techniques to enhance performance and accuracy across diverse query workloads and data architectures.Contribute to both backend (using Rust) and critical frontend frameworks (using TypeScript), refining essential abstractions that facilitate end-to-end workflow optimizations and introduce new features.Diagnose, analyze, and resolve intricate issues, ensuring robustness and maintainability in a rapidly evolving product landscape.Partner with engineers and product stakeholders to review designs and code, championing technical best practices and architectural decisions throughout the team and organization.

Perplexity seeks a Software Engineer in San Francisco to focus on computer monetization. This position involves developing and enhancing software that drives the company’s monetization strategies. Role overview This role centers on building and refining systems that support Perplexity’s revenue efforts. Projects in this area have a direct impact on the company’s growth within the technology sector. What you will do Develop software solutions that contribute to monetization goals Refine and improve existing systems to optimize revenue streams Work on projects that influence Perplexity’s expansion and success Location This position is based in San Francisco.

Company Overview:Specter is revolutionizing how businesses perceive their physical environments by developing a software-defined control plane. Our mission is to enhance the security of American enterprises by providing them with comprehensive visibility over their physical assets.We are pioneering a connected hardware-software ecosystem that leverages multi-modal wireless mesh sensing technology, reducing the deployment costs and time for sensors by a factor of ten. Our platform aims to be the perception engine for a company’s physical presence, facilitating real-time visibility of perimeters and enabling autonomous operational management.Founded by passionate innovators from Anduril, Tesla, Uber, and the U.S. Special Forces, our co-founders, Xerxes and Philip, are dedicated to empowering our partners in the rapidly evolving landscape of physical AI and robotics.

About braintrustBraintrust is at the forefront of AI observability. By merging evaluation and observability into a singular workflow, we empower developers with the insights needed to comprehend AI behavior in production environments, along with the tools to enhance it.Leading teams at Notion, Stripe, Zapier, Vercel, and Ramp utilize Braintrust to compare models, test prompts, and monitor regressions — transforming production data into superior AI with each new release.About the roleWe are in search of a passionate software engineer dedicated to crafting high-performance data processing systems. Our clientele consists of large enterprises handling complex, semi-structured data, which they require for real-time processing and analysis. Our distinct architecture enables these organizations to keep data on-premises while creating intricate visualizations that load without delay. Explore our Brainstore blog post.If you have experience with database systems, compilers, networks, or storage systems and aspire to pivot your expertise into the AI sector, this role could be your ideal fit. You will significantly influence foundational system architecture, technology selection, and implementation. Our founding team possesses extensive knowledge in database and ML systems, and you will have the autonomy to collaborate closely with them while exploring your innovative ideas.Your ResponsibilitiesAs a systems engineer at Braintrust, you’ll contribute to the core systems that empower Braintrust’s capability to process and query vast amounts of unstructured data at an enterprise scale. Key areas of responsibility include:Enhancing the storage, indexing, and query execution performance of Brainstore.Developing Braintrust's btql query language.Optimizing query patterns to boost performance across our platform.QualificationsDeep understanding of systems programming (C++ or Rust, concurrency, databases, operating systems).Experience in founding or working at startups is advantageous.Familiarity with writing prompts or experimenting with GPT models and applications.BenefitsComprehensive medical, dental, and vision insurance.Daily lunch, snacks, and beverages provided.Flexible time off policy.Competitive salary with equity options.

Midstream is an innovative, AI-driven financial operating system tailored for healthcare systems. Founded by a team of seasoned entrepreneurs and supported by prestigious investors, we empower finance, supply chain, and managed care teams with real-time insights into margin risks, enabling them to act swiftly to protect their margins.Designed specifically for the complexities of healthcare, Midstream converts structured, unstructured, and external data into immediate, contract-aware insights that enhance decision-making. Our AI-driven agents integrate spending and revenue operations across the entire back-office, continuously learning and adapting to ensure a level of intelligence that surpasses any standalone solution.We are revolutionizing the pace of healthcare finance, compressing lengthy processes into minutes and transforming retrospective insights into proactive foresight. Midstream is at the forefront of this change.The OpportunityJoin Midstream at a pivotal moment in our growth and contribute to establishing the technical backbone of our platform. In this role, you will operate at the intersection of product development, systems architecture, and cloud infrastructure, crafting and building distributed systems that enable our agile team to operate efficiently as we expand.You will collaborate closely with engineers and leadership to identify current infrastructural pain points and anticipate potential challenges before they arise. From multi-tenant architectures to security protocols, you will transform uncertainty into robust systems that minimize operational burdens and enhance engineering productivity.We are seeking a software engineer with a systems-oriented mindset who is passionate about long-term maintainability and developer experience, while also enjoying the process of creating backend services and delivering tangible software solutions. The ideal candidate will be adept at reasoning about distributed systems, making practical compromises, and developing infrastructure that seamlessly integrates into the background, allowing the team to focus on delivering impactful product value.What You’ll DoDevelop shared platform patterns and tools that enable engineers to launch new backend services and workflows efficiently, securely, and reliably.Enhance the reliability of our production systems by improving observability, debugging capabilities, and resilience as we scale.Architect infrastructure that is clean, reviewable, and repeatable, minimizing unique configurations and facilitating rapid iteration.Establish clear, scalable multi-tenant boundaries across data, compute, and identity to support...

About UsAt LatchBio, we are at the forefront of transforming biological discovery through the fusion of laboratory automation, high-throughput assays, and machine learning. Our innovative platform is designed to store, visualize, and analyze the next wave of scientific discoveries. Trusted by teams across pharmaceutical, biotech, and solution provider sectors, our technology plays a crucial role in enhancing, informing, and delivering groundbreaking products.Our dedicated team of engineers has spent over four years developing and marketing cutting-edge technology in a challenging market that is often hesitant to embrace newcomers. We cater to a diverse clientele with varying product expectations, necessitating close collaboration and nuanced communication with both technical and non-technical users. Our systems routinely handle computational tasks involving multiple terabytes of data.Our commitment and perseverance have resulted in significant market validation, with revenue more than tripling over the past year. Looking ahead, we aim to achieve a sustainable growth trajectory, targeting a repeatable sales process and reaching $50 million in annual recurring revenue (ARR) within the next three years.Explore our core product offerings:Distributed file system with metadata on Postgres and blobs on S3, featuring a web UI and a FUSE driver.Workflow orchestrator built on Kubernetes.On-demand interactive compute instances based on Kubernetes containers.Statically-typed tabular data storage engine.Reactive Python-based web application framework for data analysis and visualization.Upcoming: A cluster orchestrator and workflow engine designed to accept compute nodes from anywhere on the internet.While various startups focus on niche solutions, our comprehensive approach sets us apart in this tech-heavy industry.

Cloud Software EngineerAbout Eventual ComputingAt Eventual Computing, we understand that cutting-edge AI applications—from foundational models to autonomous vehicles—demand the ability to process vast amounts of images, video, and complex datasets. Unfortunately, current data platforms, such as Databricks and Snowflake, are primarily designed for traditional spreadsheet analytics, making them ill-equipped for the petabytes of multimodal data that drive AI innovations. This inefficiency results in teams spending valuable time on fragile infrastructure instead of advancing their research and developing their core products.Founded in 2022, our mission is to revolutionize data querying, making it as intuitive as working with tables while ensuring it can scale to meet production demands. Our open-source engine, Daft, is tailored for real-world AI systems, adept at coordinating with external APIs, managing GPU clusters, and addressing failures that traditional engines struggle with. Daft is already powering essential workloads for industry leaders like Amazon, Mobileye, Together AI, and CloudKitchens.Our team comprises top-tier talent from renowned organizations including Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, and Tesla. Having quadrupled in size within a year, we are backed by Series A and seed funding from prestigious investors like Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and prominent angels including co-founders of Databricks and Perplexity. We are excited to expand our team further—this is just the beginning for Eventual Computing.We invite enthusiastic individuals to join our close-knit team, working collaboratively four days a week in our San Francisco Mission District office.

About EventualAt Eventual, we are reimagining how AI applications process vast amounts of data, from images to complex datasets. Traditional data platforms are not equipped to handle the petabytes of multimodal data essential for AI, causing teams to struggle with inadequate infrastructure. Founded in 2022, our mission is to simplify data querying, making it as intuitive as working with tables while ensuring scalability for production workloads.Our open-source engine, Daft, is specifically designed for real-world AI systems. It efficiently manages external APIs, GPU clusters, and addresses failures that traditional engines cannot handle. Daft is already integral to operations at leading companies such as Amazon, Mobileye, Together AI, and CloudKitchens.We pride ourselves on our exceptional team, which includes talents from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and others. We have quadrupled our team size in just a year, supported by Series A and seed funding from notable investors like Felicis, CRV, Microsoft M12, and Y Combinator. We are now eager to expand further. Join us—Eventual is just getting started.We are seeking passionate individuals who are excited to collaborate in a close-knit team environment, working together four days a week in our San Francisco Mission district office.Your Role:As a Software Engineer, you will take charge of developing Eventual's core products and architecture. You’ll deliver features that our customers will use immediately and collaborate with a dedicated team that values open communication and cross-functional teamwork. Our fast-paced environment is focused on solving a variety of complex technical and product challenges. While our experienced team is here to provide guidance and mentorship, we appreciate engineers who can independently identify and tackle challenging technical issues.Key Responsibilities:Design and develop highly reliable and resilient products and features.Collaborate closely with cross-functional product and customer-facing teams to understand requirements and deliver thoughtful solutions.Write high-quality, extensible, and maintainable code.Create and build scalable applications and components.Architect and manage Kubernetes clusters optimized for our needs.

About EventualAt Eventual, we recognize that every revolutionary AI application, whether it’s foundational models or autonomous vehicles, depends on the ability to process vast amounts of images, videos, and intricate data. Unfortunately, current data platforms like Databricks and Snowflake are optimized for spreadsheet-like analytics and not for the petabytes of multimodal data essential for AI. This leads to teams squandering months on fragile infrastructure instead of focusing on research and product development.Founded in 2022, our mission is to transform the way data is queried—whether it’s images, video, audio, or text—making it as straightforward as working with tables, while ensuring scalability for production workloads. Our open-source engine, Daft, is meticulously engineered for real-world AI systems, coordinating with external APIs, managing GPU clusters, and effectively handling failures that traditional engines cannot. Daft is already powering critical workloads at leading companies like Amazon, Mobileye, Together AI, and CloudKitchens.We have built a world-class team drawn from industry giants such as Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, and Tesla, and we’ve quadrupled in size within just one year. Backed by Series A and seed funding from investors including Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, and Array.vc, we’re now looking to double our team. Join us at Eventual as we embark on this exciting journey!We're seeking passionate individuals eager to collaborate in a close-knit team environment, working together four days a week at our Mission District office in San Francisco.

The Bot CompanyAt The Bot Company, we are revolutionizing the home experience by creating an intelligent robot that serves as a helpful companion in every household.Our dynamic team, comprised of talented engineers, designers, and operators, is based in the heart of San Francisco. We boast a rich background with team members previously at industry giants such as Tesla, Cruise, OpenAI, Google, and Pixar. Collectively, we have a proven track record of delivering groundbreaking products to millions of users, understanding deeply what it takes to craft exceptional experiences.We pride ourselves on a streamlined team structure that fosters quick decision-making and eliminates unnecessary bureaucracy. Each team member is empowered to take ownership of their work and has the autonomy to drive their projects forward. Our culture encourages rapid iteration and agile execution across all levels of development.

Baseten supports companies like Cursor, Notion, and Writer in running AI inference at scale. The team blends AI research, adaptive infrastructure, and developer tools to help organizations deploy advanced AI models efficiently. Backed by investors such as BOND, IVP, and Greylock, Baseten recently raised a $300M Series E. The company aims to be the trusted platform for engineers launching AI products. Role overview The Software Engineer - Realtime Systems (Voice AI) role focuses on building and deploying production-ready Voice AI systems. Baseten’s Voice AI team works with open-source models to power applications in productivity, customer support, clinical conversations, creative tools, and education. Engineers in this group influence how people use voice to interact with technology, shaping products that impact multiple industries. This position involves leading Voice AI projects, setting both product direction and technical strategy. Collaboration is a key part of the work: expect to partner with Forward Deployed Engineers, Model Performance Engineers, and other teams to advance Baseten’s Voice AI capabilities. Sample projects The world's fastest Whisper, with streaming and diarization Orpheus TTS inference partnership with Canopy Labs Collaborate with the Core Product team to build a multi-model voice agent using Baseten’s orchestration framework Work alongside the Training Platform team to support ongoing training of voice models Design APIs and SDKs that make Baseten Voice AI products accessible for developers Location This role is based in San Francisco.

About CartesiaAt Cartesia, we are on a mission to revolutionize artificial intelligence by creating interactive intelligence that is accessible and effective in any environment. We have identified a gap in current AI capabilities; existing models struggle to continuously process extensive streams of audio, video, and text data. Our vision is to bridge this gap by developing pioneering model architectures.Founded by PhD experts from the Stanford AI Lab, we are the creators of State Space Models (SSMs), a groundbreaking approach to training efficient, large-scale foundation models. Our team merges profound expertise in model innovation with systems engineering and product design to deliver advanced models and user experiences.Backed by leading investors such as Index Ventures and Lightspeed Venture Partners, along with an array of esteemed advisors, we are well-positioned to push the boundaries of AI.About the RoleWe are seeking a talented Software Engineer specializing in database systems to architect and scale Cartesia’s data infrastructure. You will play a crucial role in implementing robust data governance and developing user-friendly, secure database tools that empower both engineers and non-engineers.Your ImpactDesign and enhance database platforms to ensure scalability to over 100 times current capacity while maintaining uptime, latency, and accuracy.Construct data storage architectures that function seamlessly across various environments including AWS, GCP, on-premises systems, and third-party deployments.Facilitate accelerated development across the organization by providing high-quality database tools and resources to both technical and non-technical users.Implement secure access control mechanisms to ensure sensitive data is restricted to authorized personnel only.Develop scalable data governance systems focused on permissions, auditing, and compliance, utilizing IAM policies, ACLs, and security controls across a large user base.What You BringExpertise with cloud services such as AWS, GCP, or Azure, along with experience using infrastructure-as-code tools like Terraform.A proven history of managing database systems during periods of rapid growth in dynamic environments.

At Magic, we are dedicated to creating safe artificial general intelligence (AGI) that propels humanity forward in tackling the most pressing global challenges. We believe that the most effective route to achieving safe AGI involves automating the research and code generation processes to enhance models and resolve alignment issues more reliably than humans can achieve independently. Our methodology incorporates cutting-edge pre-training at scale, domain-specific reinforcement learning (RL), ultra-long context capabilities, and optimized inference-time computations.Role OverviewIn your role as a Software Engineer on the Pre-training Systems team, you will be responsible for designing and managing the distributed infrastructure necessary for training Magic’s long-context models at scale.This position emphasizes large-scale model training utilizing extensive GPU clusters. You will operate at the intersection of deep learning and distributed systems, ensuring that training processes are efficient, reliable, and reproducible under extreme conditions.Magic’s long-context models present complex systems challenges, such as sustained memory usage, communication overhead across thousands of devices, long-duration jobs requiring fault tolerance, and efficient sequence packing within hardware limitations. You will take ownership of the systems that ensure large-scale pre-training is both stable and rapid.Your ContributionsScale distributed training across large GPU clusters, implementing data, tensor, and pipeline parallelism.Optimize communication strategies and gradient synchronization.Enhance checkpointing, fault tolerance, and job recovery mechanisms.Profile and resolve performance bottlenecks across computing, networking, and storage.Advance experiment reproducibility and orchestration workflows.Boost hardware utilization and overall training throughput.Collaborate with Kernel and Research teams to align model architecture with system capabilities.Qualifications We SeekSolid foundation in software engineering and distributed systems.Experience with training large models in multi-node GPU environments.In-depth understanding of parallelism techniques and performance trade-offs.Experience in debugging cross-layer issues within production ML systems.Demonstrated ownership mentality and capability to manage critical infrastructure.Proven track record in enhancing the performance or reliability of large-scale systems.

About UsAt Applied Compute, we specialize in developing Specific Intelligence tailored for enterprises. Our innovative agents are designed to continuously learn from a company’s processes, data, expertise, and objectives. Currently, there exists a significant disparity between the capabilities of AI models in isolation and their reliable performance within real business environments. These systems often fail to adapt to feedback. We are creating a continual learning layer: a robust platform that captures context, memory, and decision-making traces throughout the enterprise, fostering an environment where specialized agents can effectively perform real work.Why Join Us? We are at a unique crossroads in technology. Our product team is focused on developing the platform that will enable a new generation of digital coworkers. Our research team is at the forefront of advancing post-training and reinforcement learning, leading to groundbreaking product experiences. Our applied research engineers work closely with customers, assisting them in deploying models into production. This blend of strong product focus, deep research, and direct customer engagement is our belief in how to advance AI in the enterprise. We take pride in being product-led, research-enabled, and forward-deployed.Our Culture: Our team is composed of engineers, researchers, and operators, many of whom are former founders. We have developed RL infrastructure at OpenAI, created data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, as well as companies like DoorDash, Mercor, and Cognition. We are fortunate to have backing from leading investors such as Benchmark, Sequoia, and Lux.Ideal Candidates: We are seeking individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel at ease navigating unfamiliar environments—be it a new codebase, a customer’s data architecture, or an entirely new problem domain. A genuine enjoyment in working with customers—listening, empathizing, and understanding their workflows—is essential. We find that former founders, individuals with numerous side projects, or those who have demonstrated an ability to take ownership of projects from start to finish thrive in our environment.The RoleAs a Product Engineer, you will be instrumental in building the platform that supports a new era of digital coworkers, equipping human knowledge workers with the leverage similar to what coding agents provide developers today. This role is pivotal as you will manage projects from inception to completion within our continual learning platform and work closely with both Applied Research and Research Systems, ultimately helping define a new category of technology. Your work will encompass the entire technology stack, including cloud-hosted sandbox environments and enterprise-grade solutions.

About Sigma Computing Sigma Computing builds a platform designed to help businesses work smarter with modern data architecture. The company is growing its engineering team in San Francisco and looking for experienced leaders to help shape the next phase of product development. Role Overview This Engineering Manager role focuses on leading and developing a high-performing engineering team. The position involves guiding product strategy, setting priorities, and ensuring consistent progress on project goals. The manager will also support team members' career growth and oversee day-to-day management responsibilities. What You Will Do Work closely with executive leadership, cross-functional partners, and field teams to shape product strategy that aligns with business goals. Support team members in their professional growth through coaching, mentoring, and regular performance feedback. Manage execution and delivery of project roadmaps, ensuring both the business and engineering team are set up for success. Partner with recruiting to attract and hire talented engineers. Promote a culture of ownership and accountability, encouraging high standards within the team. Participate in architectural discussions and help define implementation strategies that turn user needs into efficient technical solutions. Location This position is based in San Francisco, CA.