Senior Computational Biologist at leverdemo-8 | San Francisco

Join the Innovative Team at Topos BioAt Topos Bio, we are at the forefront of drug discovery, focusing on the challenging area of intrinsically disordered proteins—molecular targets that traditional methods have struggled to address, particularly in neurodegeneration, oncology, and cardiometabolic diseases.We are looking for a passionate and skilled Computational Chemist to join our dynamic team. This role involves the generation of novel molecules across diverse targets and requires close collaboration with AI researchers and experimental scientists to push the boundaries of drug discovery.Your ResponsibilitiesCreate and optimize scalable workflows for the generation and screening of thousands of potential drug candidates.Design and execute molecular dynamics simulations, employing advanced sampling methods to analyze protein-ligand interactions and conformational changes.Develop and refine data pipelines for managing large-scale molecular simulations and structure-based predictions.Construct and enhance cheminformatics pipelines for compound filtering, property prediction, similarity searching, and chemical space exploration.Collaborate with AI specialists to integrate simulation data into model training and inference frameworks.Ensure computational protocols are scientifically sound while delivering practical outcomes.Effectively communicate complex technical concepts to cross-functional teams, aiding in the understanding of capabilities and limitations.Remain informed on the latest advancements in computational chemistry, generative models, and molecular simulations.Lead scientific presentations to pharmaceutical partners, articulating the computational strategies employed by our team to both technical and non-technical audiences.QualificationsPhD in Computational Biophysics, Computational Chemistry, or a related discipline.Demonstrable experience in molecular modeling, simulation, and generative drug design.Proficient in computational biophysics software (e.g., AMBER, GROMACS, OpenMM, PLUMED, Schrödinger, OpenEye).Strong foundation in cheminformatics: molecular fingerprints, QSAR/QSPR, property prediction, scaffold analysis, and cheminformatics libraries (e.g., RDKit, OpenBabel).Expertise in at least one programming language, preferably Python.Experience with HPC clusters or cloud computing environments, containerization, and workflow management.

Inductive Bio is a pioneering AI medicinal chemistry partner dedicated to revolutionizing drug discovery. We create innovative virtual labs that empower drug discovery teams to make informed decisions more efficiently throughout the entire DMTA cycle. Our advanced platform features Beacon-1 ADMET prediction models, human dose projection tools, and Indy, an AI-driven medicinal chemistry assistant. In collaboration with Enamine, we provide library synthesis and direct-to-dose testing, seamlessly bridging the gap between computational design and experimental validation. Together, we fuel numerous small molecule and beyond-rule-of-five initiatives for our biotech and pharmaceutical partners.Beacon-1 has consistently excelled, securing 1st place in both the 2025 Polaris and 2026 OpenADMET-ExpansionRx blind competitions, surpassing industry giants like Merck & Co and NVIDIA, as well as EMD Serono. Our efforts have garnered $30M in funding from notable investors such as Obvious Ventures, a16z Bio + Health, and Lux Capital, in addition to being awarded $21M from the ARPA-H CATALYST program to advance next-generation toxicity models.The RoleWe are in search of an experienced computational or medicinal chemist to join our dynamic Product Science team as a Product Scientist. In this pivotal role, you will be the primary scientific liaison for partner projects, leveraging your expertise in medicinal chemistry, computational chemistry, and DMPK to tackle complex molecular optimization challenges with an emphasis on dose-centric solutions. You will engage with a diverse array of small molecule modalities, therapeutic areas, and modeling obstacles.As a thought leader in the evolution of Inductive's platform, you will contribute to the enhancement of our predictive models and dose projection tools, as well as Indy, our AI medicinal chemistry assistant, drawing from your own experiences and insights gained from real-world partner programs. We seek an individual whose instincts regarding small molecule optimization are honed through extensive hands-on experience, and who is eager to utilize these instincts to shape products that empower drug discovery teams.Your Responsibilities:Partner-Facing ScienceCultivate and manage the scientific relationships with partner project teams across various modalities, including reversible and covalent small molecules, macrocycles, molecular glues, and heterobifunctionals.Organize and clarify complex program data. Analyze structure-activity relationships (SAR), discern the insights provided by the data, and proactively address inconsistencies before they lead to detrimental decisions.Steer medicinal chemistry strategies: determine what to synthesize, what to test, how to prioritize compounds for further development, and where to allocate synthetic resources. Identify potential liabilities early in the process and assist partners in constructing risk mitigation plans.

Role overview Axiom Bio is looking for a Platform Engineer to join the team at the San Francisco Global HQ. The focus is on building and supporting scalable platforms that enable bioinformatics research. What you will do Collaborate with colleagues from a range of disciplines to design, implement, and maintain platforms for scientific teams Create systems that streamline research workflows and improve efficiency Support projects aimed at advancing bioinformatics capabilities Location This role is based on site at Axiom Bio's San Francisco Global HQ.

About Inductive Bio Inductive Bio partners with biotech and pharmaceutical companies to accelerate drug discovery using AI-driven virtual labs. Our platform supports the full Design-Make-Test-Analyze (DMTA) cycle, combining Beacon-1 ADMET prediction models, human dose estimation tools, and Indy, our AI medicinal chemistry assistant. Working closely with CROs, we offer advanced synthesis, direct-to-dose testing, and cost-effective tier 1 ADME panels to bridge computational design with experimental validation. Our work spans small molecule and beyond-rule-of-five programs. Beacon-1 technology earned first place in the 2025 Polaris and 2026 OpenADMET-ExpansionRx blind competitions, surpassing companies such as Merck & Co + NVIDIA and EMD Serono. We have raised $30 million from investors including Obvious Ventures, a16z Bio + Health, and Lux Capital, and received a $21 million ARPA-H CATALYST award to develop next-generation toxicity models. Role Overview: AI-Driven Medicinal Chemist We are hiring a Medicinal Chemist to help shape our AI-centric drug discovery platform. This position reports to the Head of Medicinal Chemistry and plays a key part in every stage of the DMTA cycle. Location New York City, San Francisco, or Boston What You Will Do Serve as an embedded expert across partner drug discovery programs, supporting work from lead generation through development candidate nomination for a range of small molecule modalities. Work closely with computational chemistry, DMPK, and machine learning teams, applying both Inductive’s tools and your medicinal chemistry experience as a consultant on partner projects. Enhance value for partners by integrating Inductive’s experimental services, predictive models, and AI workflows with our chemistry and assay CRO partners to test hypotheses efficiently. Help develop an AI-native drug discovery platform that speeds the path of drugs to the clinic. Shape the evolution of Indy (our AI medicinal chemistry agent) and build assay and synthesis workflows for faster, higher-quality results. Advance Inductive’s mission by building industry relationships, engaging with current and prospective partners, gathering insights from drug discovery teams, attending conferences, giving presentations, and authoring blog posts and publications.

At Inductive Bio, we are revolutionizing the drug discovery process by leveraging artificial intelligence to develop predictive models. Scientists traditionally design molecules based on predictions of their potency, safety, and absorption, yet the validation of these predictions through laboratory experiments can be immensely time-consuming and costly. Our innovative approach enables us to create in silico models that accurately forecast molecular behavior, allowing scientists to make informed decisions more rapidly, ultimately accelerating the delivery of safer, high-quality medicines to patients. Our extensive proprietary dataset supports our ongoing application of these advanced methodologies in numerous active drug discovery initiatives. With backing from prominent investors straddling both biotechnology and technology sectors, and guidance from esteemed drug discovery experts, we are on the cusp of a significant transformation in the industry.We are looking for passionate Machine Learning Scientists to join our dynamic and collaborative team. In this role, you will have the chance to innovate on algorithms, collaborate with leading drug discovery scientists, and apply your work directly to pioneering drug programs at some of the world’s most innovative biotech companies. As one of the early machine learning scientists at Inductive Bio, you will have the opportunity to make a substantial impact while evolving alongside our rapidly growing company.Key Responsibilities:Develop and refine machine learning models to predict molecular properties from chemical structures.Create innovative algorithms for generating novel molecule ideas.Build intelligent agents that synthesize complex data from drug programs to guide molecular optimization.Engage deeply with our unique proprietary datasets to iterate on modeling concepts and enhance model performance.Collaborate closely with chemists and software engineers to seamlessly integrate models into our software platform used by drug discovery scientists worldwide.Construct and optimize scalable infrastructure for model training, deployment, and monitoring.Interact directly with scientific users to gather feedback and improve the product.Contribute significantly to product strategy and the overall direction of the company.

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 Tacit Tacit is a deep tech startup based in San Francisco, focused on advancing human-computer interaction through new hardware. The company is backed by investors including General Catalyst, Khosla Ventures, and Greylock Partners. The founding team brings experience from Stanford, BrainGate, Oculus, and Tesla. While much of the work is confidential, the team tackles ambitious engineering problems to deliver novel products. Role Overview The Computational Neuroscientist will help develop new approaches for data analysis, improve signal extraction, and strengthen Tacit's technology infrastructure. The role involves running and interpreting experiments on proprietary systems, drawing insights to guide future data collection, and refining decoding algorithms. Work includes direct interaction with signals from custom hardware and studying how performance scales across different user groups. This is a full-time, on-site position in San Francisco (5 days per week). What You Will Do Design, implement, and evaluate algorithms to extract features from biosignals for machine learning use. Iterate quickly on experiments to test new hardware prototypes and improve data collection methods. Develop analytical tools for visualizing and assessing data quality. Work closely with hardware and electrical engineers to improve the sensing stack. Requirements PhD in neuroscience, biomedical engineering, machine learning, computer science, or a related field (or equivalent industry experience). Skilled in Python and PyTorch. Experience collaborating across diverse teams and adapting to new technical domains. Background in dimensionality reduction and time series data analysis. Self-driven, adaptable, and resourceful approach to work. Strong communication skills and a collaborative mindset. Comfort working in a startup setting and able to contribute independently. Preferred Qualifications Experience with real-time human-machine interaction technologies, such as automatic speech recognition or closed-loop systems.

About AlljoinedAlljoined is dedicated to revolutionizing the interaction between humans and technology by developing non-invasive methods to decode thoughts from the brain. Utilizing cutting-edge deep learning techniques on extensive EEG datasets gathered using cost-effective hardware, we initially decode images, text, and video, with aspirations to eventually interpret internal thoughts. Our capabilities are at the forefront of technology, and we are fully vertically integrated. Our mission is to create a comprehensive consumer interface that will radically enhance our daily interactions at home and in the workplace.We are in the process of expanding our elite team of researchers, aiming to create the next interface that will not only improve individual lives but also contribute positively to society.About the RoleIn the role of Computational Neuroscientist, you will be instrumental in propelling our research initiatives forward. Through the application of advanced computational and neuroimaging methodologies, you will design and refine stimulus paradigms in collaboration with our research team, conducting in-depth analyses of collected data to extract insights across various paradigms and architectures. You will collaborate with a dedicated team of research coordinators who will facilitate large-scale data collection, alongside engineers and researchers to devise experiments aimed at optimizing next-generation neural decoding techniques.About YouPhD or postdoctoral experience in neuroscience or a related discipline.Substantial experience in the design and execution of neuroscience studies, with a focus on functional brain imaging data analysis (EEG, fMRI).Strong proficiency in Python, particularly with libraries such as MNE, Numpy, PsychoPy, and machine learning frameworks including PyTorch, SciPy, and Scikit-Learn.Extensive background in utilizing advanced computational, statistical, and modeling techniques to analyze and interpret neuroimaging data.A solid understanding of psychophysics and human behavior.Proven ability to conduct independent research while collaborating effectively in an interdisciplinary environment.

At Inductive Bio, we believe that drug discovery is fundamentally a design challenge. Chemists invest countless hours, blending experimental data with their intuition to devise molecules aimed at effectively targeting biological challenges while ensuring optimal absorption and safety. This intricate process can span years and incur significant costs, leaving many patient needs for innovative therapeutics unaddressed.Our mission is to revolutionize the way molecules are conceived and developed through advanced software solutions. We are crafting a powerful platform, akin to Figma, supported by robust infrastructure and cutting-edge AI, facilitating seamless collaboration among elite drug discovery teams worldwide. Our platform is currently utilized in over 30 active drug discovery initiatives, with rapid adoption on the horizon. We are proud to be backed by prominent investors at the nexus of technology and biotechnology, with guidance from leading experts in drug discovery.We invite a passionate Frontend Software Engineer with UI/UX design experience to join our dynamic and supportive team. In this role, you will collaborate directly with chemists, ML engineers, and users to craft intuitive products that empower some of the brightest minds in drug chemistry and biology in their quest to discover new therapies. As an early team member in a fast-growing startup, you will have the chance to make a significant impact while expanding your skills and knowledge.

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.

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 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.

Sigma Computing builds an AI platform tailored for cloud data warehouses, helping teams create interactive applications for live data exploration, AI model execution, and automated approvals. Data stays secure within the warehouse. Trusted by organizations like JPMorgan Chase and backed by $662 million in funding, Sigma has earned recognition as Snowflake's BI Data Cloud Product Partner of the Year for three years running and as Databricks' Business Intelligence Partner of the Year. The company now includes over 1,400 employees worldwide and continues to expand, with a new headquarters in Sydney, APAC. Sigma's mission centers on advancing AI-driven analytics for the next generation of data teams. Role Overview The Technical Recruiter will join Sigma Computing's Talent Acquisition team in San Francisco, focusing on hiring for Engineering. This position partners with hiring managers across Software Engineering, Data Engineering, Platform Infrastructure, and AI/ML groups. The recruiter manages the full cycle for highly technical and business-critical roles. Beyond scheduling and coordination, this role requires close engagement with engineering leaders, building talent pipelines in competitive markets, and representing Sigma's mission and engineering culture throughout the hiring process. What You Will Do Oversee end-to-end recruitment for engineering roles, including Software Engineers (Frontend, Backend, Full-Stack), Data Engineers, Platform/Infrastructure Engineers, and AI/ML Engineers. Work closely with Engineering leadership and hiring managers to understand technical needs, team dynamics, and business priorities, then translate these into effective job descriptions and sourcing strategies.

Join our dynamic team at plaud as a Human-Computer Interaction Designer where you will play a pivotal role in shaping user experiences. You will collaborate with cross-functional teams to design intuitive interfaces that enhance user engagement and satisfaction. Your expertise in HCI principles will guide the development of user-centered designs that are not only functional but also aesthetically pleasing.

About the Enterprise Account Executive Role Sigma Computing is hiring an Enterprise Account Executive in San Francisco, CA. This position plays a central role in building our customer base and supporting the company’s growth. Account Executives at Sigma work closely with leadership and have a direct impact on the organization’s success. What We Look For Ambition to grow personally and professionally Understanding of how data drives innovation and business results Honesty, humility, and a strong work ethic What Matters to You Learning from experienced leaders invested in your development Working in a supportive team environment Making a meaningful contribution in the data space Building leadership skills for a long-term career Key Responsibilities Keep customer, pipeline, and forecast details up to date and accurate in Salesforce

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.

Join Us in Shaping the Future of AI!If you are passionate about our innovative work but don't see a specific role that fits your profile, we encourage you to apply here. At Applied Compute, we prioritize collaborating with exceptional individuals who resonate with our mission.About UsWe specialize in developing Specific Intelligence for enterprises, creating agents that perpetually learn from a company's processes, data, expertise, and objectives. Despite advancements in AI, there remains a significant disparity between the capabilities of AI models in isolation and their performance within real-world business contexts. Our solution is to build a continual learning layer—a platform that captures context, memory, and decision pathways across enterprises, enabling specialized agents to effectively perform tasks.Our ExcitementWe operate at an extraordinary intersection of innovation. Our product team designs the platform that fuels a new generation of digital colleagues, while our research team explores the cutting-edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with customers to implement models in production. This unique blend of strong product focus, in-depth research, and hands-on engagement with customers is essential for integrating AI into enterprises. We pride ourselves on being product-led, research-enabled, and forward-deployed.Our TeamOur team comprises engineers, researchers, and operators, many of whom are former founders. We have experience building RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are supported by renowned investors like Benchmark, Sequoia, and Lux.Who Thrives HereWe seek individuals eager to apply groundbreaking research and complex systems to tackle real-world challenges. You should be adept at quickly navigating unfamiliar environments, whether it's a new codebase, a customer's data architecture, or an entirely new problem domain. A genuine passion for working with customers—listening, empathizing, and understanding their organizational workflows—is essential. Those with a background as former founders, experience in numerous side projects, or a strong ability to manage tasks end-to-end typically excel in our environment.

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.