About HebbiaHebbia is an innovative AI platform designed specifically for investors and bankers, enabling them to generate alpha and maximize returns. Founded in 2020 by George Sivulka and supported by notable investors like Peter Thiel and Andreessen Horowitz, Hebbia is transforming investment strategies for leading firms including BlackRock, KKR, Carlyle, and Centerview. Our flagship product, Matrix, is renowned for its unmatched accuracy, speed, and transparency in AI-driven analysis, managing assets exceeding $30 trillion globally.At Hebbia, we equip finance professionals with unparalleled intelligence that not only uncovers hidden signals but also accelerates decision-making processes. We revolutionize capital deployment, risk management, and value creation across markets, ensuring our clients remain leaders in their fields.The RoleAs an Engineering Manager at Hebbia, you will play a pivotal role as a technical leader, actively involved in coding, architecture decisions, and guiding your team through complex challenges. This position is not solely about management; it demands strong technical skills and a hands-on approach. You will be responsible for setting the technical direction, resolving blockers, elevating quality standards, and delivering products that our clients depend on for informed investment decisions.Collaboration is key in this role, as you will partner with your product counterpart to drive initiatives and, in their absence, take the lead on product direction. A deep understanding of product intuition and business acumen is essential, alongside your technical expertise. You will also be tasked with hiring, mentoring, and developing your team members to foster their growth. Expect our interview process to reflect our work culture, including discussions on systems design, coding, architecture, and leadership.

About HebbiaHebbia is an innovative AI platform designed for investors and bankers, delivering exceptional insights that generate alpha and maximize potential returns.Founded in 2020 by George Sivulka and supported by notable investors such as Peter Thiel and Andreessen Horowitz, Hebbia empowers investment decisions for major firms including BlackRock, KKR, Carlyle, and Centerview, along with 40% of the world's largest asset managers. Our flagship product, Matrix, offers unparalleled accuracy, speed, and transparency in AI-driven analysis, entrusted to manage over $30 trillion in global assets.We empower finance professionals with intelligence that provides a definitive competitive edge. Our AI uncovers unseen signals, reveals hidden opportunities, and accelerates decision-making with unmatched speed and confidence. We don't just enhance workflows; we revolutionize how capital is allocated, risk is managed, and value is created in the markets.Hebbia is not merely a tool; it is the competitive advantage that drives performance, alpha, and market leadership.The TeamThe Integrations team serves as the crucial link between Hebbia’s AI platform and the diverse data sources our customers depend on. We design and maintain the pipelines that integrate content from enterprise systems—such as Snowflake, S3, SharePoint, Dropbox, and more—enabling Hebbia to effectively analyze it.This role involves critical infrastructure work that directly impacts our customers. When integrations are swift, reliable, and seamless, our clients trust Hebbia with their most vital workflows. Conversely, any disruption is immediately felt. Our team is responsible for the entire process: creating new connectors, reinforcing existing ones, and ensuring a continuous data flow.The RoleThis is not a standard backend engineering position with just a few integrations. You will primarily focus on developing, troubleshooting, and managing data integrations across numerous third-party platforms. This hands-on role directly influences customer experiences and requires a passion for delivering exceptional solutions.

About HebbiaHebbia is an innovative AI platform tailored for investors and bankers, designed to generate alpha and unlock potential in financial markets. Founded in 2020 by George Sivulka and supported by notable investors including Peter Thiel and Andreessen Horowitz, we empower investment decisions for leading firms such as BlackRock, KKR, Carlyle, and Centerview. Our flagship product, Matrix, showcases unparalleled accuracy and speed in AI-driven analysis, trusted to manage over $30 trillion in assets worldwide.Our technology uncovers insights that are otherwise invisible, revealing hidden opportunities and expediting decision-making with unprecedented speed. We don't simply enhance workflows; we revolutionize capital deployment, risk management, and value creation across various markets.Hebbia transcends traditional tools; it serves as a competitive advantage that propels performance, alpha generation, and market leadership.The RoleAs a Forward Deployed Engineer, you will immerse yourself with Hebbia's most strategic clients, tailoring the final components of our platform to align with their unique workflows and data needs. This is a hands-on engineering position where you will write, deploy, and take ownership of production code.You will act as a critical link between Hebbia’s platform and the complexities of our customers’ environments. Collaborating closely with customer teams, you will identify their challenges and develop indispensable solutions. Insights gained will be relayed back to our engineering and product teams to enhance the overall platform.This opportunity is ideal for engineers eager to blend technical expertise with direct customer impact, witnessing the value of their code within days rather than months. The Forward Deployed Engineer team operates at the intersection of engineering and market engagement, collaborating closely with both our core engineering team and account representatives to direct deployment efforts effectively.

About Hebbia Hebbia is an innovative AI platform designed for investors and bankers, focused on generating alpha and driving exceptional financial outcomes. Founded in 2020 by George Sivulka and supported by notable investors such as Peter Thiel and Andreessen Horowitz, Hebbia empowers investment decisions for prominent firms including BlackRock, KKR, Carlyle, and Centerview, among 40% of the world’s largest asset managers. Our flagship product, Matrix, is known for its unmatched accuracy, speed, and transparency in AI-driven analysis, and is trusted to manage over $30 trillion in assets worldwide. We provide the intelligence that gives finance professionals a decisive edge. Our AI uncovers insights that are beyond human perception, reveals hidden opportunities, and accelerates decision-making with extraordinary speed and confidence. We don’t just streamline workflows; we revolutionize capital deployment, risk management, and value creation across markets. Hebbia is not merely a tool; it is the competitive advantage that enhances performance, alpha, and market leadership. The Role We are seeking a Site Reliability Engineer who prioritizes software engineering principles. You will take ownership of critical production systems from design to deployment, focusing on building and optimizing rather than just operating. Your responsibilities will include writing production-quality code to ensure platform reliability at scale, collaborating with product engineering teams to influence architecture from the outset, and developing essential internal tools that support every engineer at Hebbia. This role is not about managing tickets; it is primarily about coding—instrumenting services, resolving performance bottlenecks, creating deployment platforms, and translating incident analyses into meaningful architectural enhancements. Responsibilities Take full responsibility for critical production services, overseeing design, code review, deployment, operations, and incident response. Profile, benchmark, and refactor critical paths to eliminate bottlenecks as Hebbia scales.

About HebbiaHebbia is an innovative AI platform designed specifically for investors and bankers, aimed at generating alpha and maximizing returns. Founded in 2020 by George Sivulka, and backed by prominent investors including Peter Thiel and Andreessen Horowitz, we empower investment decisions for industry leaders like BlackRock, KKR, Carlyle, and Centerview, managing over $30 trillion in global assets.Our flagship product, Matrix, is renowned for providing exceptional accuracy, speed, and transparency in AI-driven analysis, helping finance professionals gain a competitive edge. Our technology uncovers unseen signals, reveals hidden opportunities, and facilitates rapid decision-making, thus transforming capital deployment, risk management, and value creation across markets.Hebbia isn't just a tool; it's the competitive advantage that enhances performance and market leadership.The TeamThe Document Intelligence team at Hebbia is dedicated to developing state-of-the-art AI solutions that revolutionize how users interact with vast collections of private and public documents. Through our innovative Browse application, we enable intelligent document exploration, advanced search functionality, and profound insights extraction. Our commitment to continuous improvement means we work closely with our customers to address real-world challenges and foster impactful, data-driven decisions.The RoleAs a Platform Engineer at Hebbia, you will be at the forefront of building scalable systems that support billions of tokens across significant assets under management. Your role will involve deploying optimized systems and ensuring high-performance capabilities in our infrastructure.

Join the Hebbia Team Hebbia is pioneering an AI platform that empowers investors and bankers, enabling them to generate alpha and unlock potential financial upside. Founded in 2020 by George Sivulka and proudly backed by Peter Thiel and Andreessen Horowitz, Hebbia is at the forefront of transforming investment strategies for major players like BlackRock, KKR, Carlyle, and Centerview, serving 40% of the world’s largest asset managers. Our flagship product, Matrix, is renowned for its unparalleled accuracy, speed, and transparency in AI-driven analysis, currently managing over $30 trillion in global assets. We don’t just optimize workflows; we redefine capital deployment, risk management, and value creation across diverse markets. Hebbia is not merely a tool; it embodies the competitive edge that propels performance and leadership in the finance sector.

About Hebbia Hebbia is an innovative AI platform designed for investors and banking professionals, driving alpha generation and strategic advantages in decision-making. Founded in 2020 by George Sivulka and supported by prominent investors like Peter Thiel and Andreessen Horowitz, Hebbia empowers major financial institutions including BlackRock, KKR, Carlyle, Centerview, and 40% of the world’s largest asset managers. Our flagship product, Matrix, is recognized for its unparalleled accuracy, speed, and transparency in AI-driven analysis, managing over $30 trillion in assets globally. We provide financial professionals with the intelligence needed to gain a competitive edge, uncovering signals invisible to humans and accelerating decision-making processes with unprecedented speed and confidence. We are not just enhancing workflows; we are transforming capital deployment, risk management, and value creation across markets. Hebbia is more than a tool; it is the competitive advantage essential for driving performance, alpha, and market leadership. The Team The Agents team at Hebbia develops sophisticated document understanding capabilities and co-piloting experiences for Matrix and extensive, multi-source research. We have established our own agent frameworks powered by distributed systems designed for scalability. Our focus is on creating reliable, steerable, and explainable agent systems that can manage the vast amounts of data our customers handle. Our mission is to unveil the unknowable unknowns for clients worldwide. We aspire to build a product that is indispensable and as user-friendly as your favorite consumer product, moving swiftly to develop first-of-their-kind systems.

About Hebbia Hebbia is an innovative AI platform tailored for investors and bankers, focusing on generating alpha and driving financial upside. Founded in 2020 by visionary George Sivulka and supported by notable investors like Peter Thiel and Andreessen Horowitz, Hebbia is instrumental in empowering investment decisions for industry giants such as BlackRock, KKR, Carlyle, and Centerview, managing approximately 40% of the world's largest asset managers. Our flagship product, Matrix, is renowned for delivering unparalleled accuracy, speed, and transparency in AI-driven analysis, trusted globally to manage over $30 trillion in assets. Our AI technology uncovers insights beyond human capability, revealing hidden opportunities and expediting decisions with unmatched agility and confidence. Hebbia is not merely a tool; it is the competitive advantage that shapes performance, alpha, and market leadership.

Join Waymo's team as a Risk Management Engineer where you will play a pivotal role in enhancing the safety and reliability of autonomous driving technology. You will collaborate with cross-functional teams to identify, analyze, and mitigate risks associated with our cutting-edge projects.

Join frontcareers, a pioneering AI-driven customer service platform that fosters collaboration and innovation. Our platform integrates essential support channels into a sleek, user-friendly workspace, enabling teams to efficiently manage requests, automate tedious tasks, and enhance customer experiences throughout their journey. With cutting-edge workflows, advanced AI features, and deep customer insights, we empower organizations to prioritize customer satisfaction daily. Trusted by over 9,000 forward-thinking companies, including CultureAmp, HootSuite, and Y Combinator, frontcareers is committed to delivering exceptional service at scale.Supported by Sequoia Capital and Salesforce Ventures, we have successfully raised $204M from esteemed venture capital firms and influential investors, including top executives from Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Our commitment to creating a positive workplace has earned us numerous accolades, such as Built In's 100 Best Midsize Places to Work in SF 2025, Top Places to Work by USA Today 2025, Y Combinator's Top Companies in 2023, #4 on Fortune’s Best Workplaces in the Bay Area™, Inc. Magazine's 2022 Best Workplaces list, and Forbes Best Startup Employers 2022 List.At frontcareers, we recognize that AI is revolutionizing the customer service landscape. Our Core AI Platform team, comprised of top-tier applied AI and engineering professionals, is pivotal in shaping our AI-driven initiatives. We are seeking an inspirational Engineering Manager to lead this talented team and significantly influence our product and customer experiences.The Core AI Platform team's key responsibilities include:Developing and sustaining the foundational AI infrastructure, including LLM integrations and RAG pipelines.

Airtable is the leading no-code app platform that empowers individuals closest to their work to expedite critical business processes. Over 500,000 organizations, including 80% of the Fortune 100, depend on Airtable to revolutionize their workflows.At Airtable, we are dedicated to democratizing software development—enabling anyone to create powerful, adaptable tools without needing to code. Our transition to an AI-native platform allows customers to generate complete applications and seamlessly integrate AI agents into their operations. Data engineering is pivotal in this transformation, providing the insights necessary for our teams to enhance user experiences, gauge agent effectiveness, and assess business performance on a large scale.As a Data Engineer at Airtable, you will play a vital role in our data engineering initiatives. You'll design and manage essential data pipelines that facilitate informed decision-making, collaborate with company leaders to develop scalable data solutions, and implement innovative alerting and visualization systems.

About CartesiaAt Cartesia, we are on a mission to create the next generation of artificial intelligence—smart, interactive systems that function seamlessly in any environment. Currently, the most advanced models struggle to process and analyze extensive streams of audio, video, and text over extended periods—1 billion text tokens, 10 billion audio tokens, and 1 trillion video tokens—especially when integrated directly on devices.We are at the forefront of developing the model architectures that will enable this innovation. Our founding team, which originated from the Stanford AI Lab, is responsible for the creation of State Space Models (SSMs), a groundbreaking approach for training efficient, large-scale foundational models. Our team merges deep technical knowledge in model development and systems engineering with a product engineering group focused on design, allowing us to create and deliver pioneering models and user experiences.Supported by top-tier investors such as Index Ventures, Lightspeed Venture Partners, and others, along with guidance from industry-leading advisors and over 90 angel investors, we are well-equipped to reshape the landscape of AI.About the RoleWe are seeking a skilled Software Engineer to join our team and help propel our vision of real-time, multimodal intelligence.Your ImpactDevelop and implement a low-latency, scalable, and dependable model inference and serving framework for our innovative SSM foundational models.Collaborate with our research and product engineering teams to translate cutting-edge research into extraordinary products.Establish robust, high-quality data processing and evaluation infrastructure for training foundational models.Enjoy significant autonomy in shaping our product direction and influencing how advanced AI technologies are utilized across various devices and applications.What You BringGiven the complexity of the challenges we tackle, we prioritize strong engineering capabilities at Cartesia.Proficient engineering skills with the ability to navigate intricate codebases and monorepos.A keen eye for detail, ensuring the production of clean, maintainable code.Adaptability to new technologies and quick proficiency with our tech stack, which includes Go and Python for backend development and Next.js for frontend.Experience in building large-scale distributed systems that require high performance, reliability, and observability.

Join Our Team:At Notion, we empower individuals and teams to create stunning tools for their professional journeys. In a landscape filled with countless applications, Notion stands out by providing a cohesive platform that integrates documents, notes, projects, calendars, and emails. With built-in AI capabilities, we streamline workflows and enhance productivity. Our diverse user base, ranging from freelancers to major companies such as Toyota, Figma, and OpenAI, appreciates Notion’s versatility, which aids in saving both time and resources.We believe in the power of in-person collaboration, hence all employees are expected to work from our offices on Mondays, Tuesdays, and Thursdays—our designated Anchor Days. Depending on team requirements, additional in-office days may be necessary.Role Overview:As a Client Platform Engineer, you will spearhead the management of our endpoint infrastructure across macOS, Windows, iOS, and Android. Your mission will be to design and implement scalable, automated solutions that ensure secure deployments and optimize operational efficiency. Collaboration with IT, Security, and Engineering teams will be key as you adopt modern endpoint management practices using automation, Infrastructure-as-Code (IaC), and monitoring strategies.Your Objectives:In this role, you will:Architect, implement, and sustain a high-performance endpoint management infrastructure for macOS, Windows, iOS, and Android, emphasizing top-tier security.Enhance endpoint management through custom software development utilizing industry-standard open source tools and proprietary solutions.Utilize modern Infrastructure-as-Code (IaC) techniques and establish GitOps-driven methods for collaborative fleet management on a large scale.Create and manage CI/CD pipelines for fleet management infrastructure, ensuring deployments across rigorously tested environments in Azure, AWS, and GCP.Promote the adoption of cutting-edge CPE technologies and industry best practices to enhance process scalability and operational efficacy.Collaborate with cross-functional teams to provide seamless endpoint experiences while adhering to stringent security protocols and elevating quality standards.Essential Skills:Strong command of modern programming languages such as Python, Golang, or TypeScript.Proven hands-on experience with Kandji and Microsoft Intune, or equivalent cloud identity management solutions.Demonstrated proficiency in endpoint management and security practices.

Join Lever, a pioneering force in the recruitment technology sector, as a DevOps Engineer. This position is crucial in enhancing our platform that powers the hiring processes for top-tier companies like Netflix, Shopify, and Spotify. You will play a vital role in our mission to innovate and streamline talent acquisition.Lever, founded a decade ago, is committed to redefining how organizations attract and hire the best talent. We are proud to be recognized as the #1 workplace in San Francisco and a top company to work for across the United States. Our culture is centered around our team members, whom we refer to as “Leveroos,” and we continuously invest in their growth and success.

About CartesiaAt Cartesia, we are on a mission to revolutionize AI by creating interactive intelligence that is seamlessly integrated into your daily life. Currently, existing models struggle to continuously analyze vast streams of audio, video, and text data—encompassing 1 billion text tokens, 10 billion audio tokens, and 1 trillion video tokens—let alone processing this data on-device.Our innovative team, consisting of PhD experts from the Stanford AI Lab, has pioneered State Space Models (SSMs) as a new foundation for training efficient, large-scale AI models. We pride ourselves on our deep expertise in model innovation and systems engineering, combined with a design-focused product engineering team that develops and delivers cutting-edge models and user experiences.Supported by prominent investors like Index Ventures and Lightspeed Venture Partners, alongside Factory, Conviction, A Star, General Catalyst, and SV Angel, we benefit from the insights of leading advisors and over 90 angels from various industries, including some of the most respected figures in AI.About the RoleWe are seeking an Enterprise Engineer to help propel our mission of creating real-time multimodal intelligence through the deployment of agile voice AI solutions for our customers.Your ImpactDesign and construct enterprise-grade systems, including On-Premise Deployments and Agent Infrastructure.Take ownership of creating and implementing robust platform capabilities tailored to enterprise requirements—focusing on the abstractions, core modifications, and infrastructure that support Cartesia's largest clients.Transform recurring deployment patterns (including gaps, incident themes, and evaluation results) from temporary solutions into scalable, long-term platform features.Establish and elevate standards for reliability, security, and operational excellence across Cartesia's enterprise interface.You will have substantial responsibility over core capabilities that will determine Cartesia's scalability within the most challenging enterprise environments worldwide.What You BringSolid backend engineering expertise—you have designed and implemented infrastructure, platform services, or foundational abstractions utilized by other teams.Proficiency in Go and/or Python programming languages.You prioritize long-term maintainability in your design and coding practices.

Join reteam as an Infrastructure Engineer and play a crucial role in developing high-impact systems. This position offers the opportunity to work on innovative projects that shape the future of technology.

Binti is a pioneering software company dedicated to transforming social services for state and county government agencies. Our journey began in child welfare, driven by the mission to ensure every child has a safe, loving, and stable family. So far, we have successfully approved over 100,000 families for foster care or adoption, significantly impacting more than 49% of the nation’s child welfare system. As we evolve, we are expanding our focus beyond child welfare, addressing the root causes of family separation and branching into other vital areas of social services.Based in the heart of San Francisco, Binti is a mission-driven, for-profit company backed by esteemed investors such as Founders Fund, First Round Capital, and Kapor Capital. Our team of around 90 passionate individuals is growing rapidly. We are committed to fostering a welcoming workplace where everyone can be their authentic selves. Our ambitious vision is to rewire government systems to create more opportunities for individuals globally, and we invite like-minded, empathetic, high-performing, and humble team members to join us on this exciting journey.ROLE OVERVIEWWe are looking for technically proficient, customer-oriented engineers who are enthusiastic about collaborating with our partners to architect and implement integrations that leverage the full potential of the Binti platform. As an Integrations Software Engineer within our Integrations Engineering team, you will take charge of impactful, externally-facing technical projects, guiding them from initial discovery and architectural discussions through to successful launch. Ideal candidates will possess substantial engineering expertise, stellar communication skills, a service-oriented mindset, and the ability to thrive in dynamic, ambiguous environments.LOCATIONBinti's headquarters is located in San Francisco, California. Most of our team members are based in the San Francisco Bay Area and work in a hybrid model: in-office on Mondays and Thursdays, with remote work on other days. Satellite offices, like Seattle, Washington, have their own in-office schedules, but all employees are encouraged to collaborate with leadership on office days to promote teamwork and cohesion.This role requires supporting our customers on their integration journeys, which may involve occasional travel to client sites (approximately once per month). On-site opportunities will include design sessions, co-development work, and technical onboarding.

About Fathom:At Fathom, we believe that relying on notes to capture insights from meetings is outdated and inefficient. Notes can be a burdensome task amidst a conversation, and even the best notes fail to convey the full experience of a discussion.Our mission is to eliminate the challenges of note-taking, and our users are thrilled with the solution we've developed: #1 Highest Satisfaction Product of 2024 on G2 #1 Rated on G2 with over 4,500 reviews and a perfect 5/5 rating #1 Product of the Day and #2 AI Product of the Year Most installed AI meeting assistant on both the Zoom and HubSpot marketplaces We are consistently achieving new usage and revenue records weeklyOur rapid growth means we are looking to expand our small but dedicated team.Role Overview:As an AI Engineer at Fathom, you will engage directly with Large Language Models (LLMs), developing and refining our innovative features. Your contributions will be crucial in providing actionable specifications that guide our engineering team toward impactful enhancements and pioneering functionalities.This position blends aspects of engineering, analytics, product management, and research. It is ideal for those already in an AI Engineering capacity or for software engineers or data scientists who have substantial experience in creating AI features.Please note, this position is available for candidates residing in the U.S. and requires being in-office in San Francisco three days a week.What You’ll Do:Collaborate with cross-functional teams to define and implement AI solutions.Prototype and iterate on features that enhance our product offerings.Analyze data and performance metrics to inform product decisions.

Join Lever's innovative team as an Infrastructure Engineer, where we are redefining the future of talent acquisition. This role is crucial in building and maintaining the infrastructure that supports our cutting-edge hiring software used by renowned companies like Netflix, Shopify, and Spotify.Lever is a leader in the recruitment technology space, founded a decade ago to address the critical challenge of attracting and hiring top talent. Our company culture is rooted in a people-first approach, and we are proud to be recognized as the #1 workplace in San Francisco and a top employer in the U.S. We seek passionate individuals to join our team as we continue to scale.test

Join tvScientific as a Sales Engineer where you will play a critical role in bridging the gap between our innovative technology and our sales strategy. You will work closely with our sales team to create tailored solutions that meet our clients' needs, leveraging your technical expertise to ensure successful implementation and customer satisfaction.