Computational Neuroscientist at Tacit | San Francisco

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 Tacit Tacit is an early-stage deep tech startup based in San Francisco, focused on hardware that changes how people interact with computers. Backed by General Catalyst, Khosla Ventures, and Greylock Partners, the team brings experience from Stanford, BrainGate, Oculus, and Tesla. The company is committed to solving complex engineering problems to deliver new products that push the boundaries of human-computer interaction. Role Overview The Full-Stack Software Engineer will help turn ambitious ideas into real products, working across Tacit's software stack. This role involves taking features from initial concept through to deployment and shaping user experiences that support the company’s mission. What You Will Do Develop the internal product stack to improve workflows and prototypes across devices and companion clients. Build and expand internal applications for demos and data collection, supporting idea testing and user experience validation. Prototype new features for human-computer interaction, iterate with test users, and refine until the experience feels seamless. Design and run product experiments, including A/B tests and feedback loops, to quickly gather insights and guide product direction. Streamline data collection and participant experiences, including setup flows, session reliability, metadata capture, monitoring, and labeling. Develop demo features that showcase real-time sensing and inference in engaging, reliable ways. Find and implement integrations that improve team workflows and efficiency. Create and improve automated testing and release systems, such as CI/CD pipelines, smoke tests, and regression checks, to support frequent updates. Work closely with machine learning, hardware, and industrial design teams to define requirements, deliver results, troubleshoot, optimize, and ensure reliability. Qualifications Strong skills in Python (FastAPI, Pydantic; experience with pandas or numpy) and modern TypeScript/React. Experience building production backends (APIs, data models, reliability, observability) and delivering features for end users. History of shipping multiple products from start to finish.

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.

About TacitTacit is an innovative deep tech startup located in the heart of San Francisco, pioneering hardware solutions that redefine human-computer interaction. Supported by prominent investors such as General Catalyst, Khosla Ventures, and Greylock Partners, our founding team comprises experts from esteemed organizations like Stanford, BrainGate, Oculus, and Tesla. While our groundbreaking products are still under wraps, our team is dedicated to tackling formidable engineering challenges to revolutionize the tech landscape.About the RoleWe are looking for an enthusiastic Software Engineering Intern to contribute to the development of the next generation of human-computer interfaces. This internship offers invaluable hands-on experience in both front-end and back-end development, focusing on creating user-centric applications and aiding internal research processes. You will collaborate closely with a talented team of engineers, designers, and researchers to bring innovative interaction paradigms to fruition.Key ResponsibilitiesDesign and implement applications for web, mobile, and embedded clients that interface with our hardware.Build backend services for real-time interaction and seamless data streaming.Develop internal tools for data labeling, visualization, and debugging purposes.Rapidly prototype new user experiences utilizing novel input methods.Collaborate with full-time engineers to deploy stable, high-performance software solutions.Document engineering insights and articulate design decisions effectively.Preferred QualificationsProficiency in Python, TypeScript, React, Linux, and command-line development.Demonstrated ability to work independently, with a strong sense of flexibility and resourcefulness.Excellent communication and teamwork skills.Ability to thrive in a fast-paced startup environment, with a keen interest in independent project development.CompensationHourly compensation will be determined based on your individual skills and experience.

About TacitTacit is an innovative, early-stage deep tech startup located in San Francisco, dedicated to revolutionizing human-computer interaction through cutting-edge hardware development. Our team, which includes experts from Stanford, BrainGate, Oculus, and Tesla, is backed by prominent investors like General Catalyst, Khosla Ventures, and Greylock Partners. We are committed to addressing complex engineering challenges to create groundbreaking products that will redefine the tech landscape.About the RoleWe are in search of a Patent Agent to spearhead and execute our patent prosecution strategy. This position is well-suited for an individual with substantial experience at a prestigious law firm who is eager to operate with greater independence while closely collaborating with our technical teams to safeguard and expand our sophisticated intellectual property portfolio.What You'll DoLead patent prosecution activities from invention disclosure to issuance.Draft, file, and prosecute U.S. and international patent applications with minimal oversight.Consult with internal stakeholders regarding patentability, freedom-to-operate, and portfolio strategies.Work directly with engineers, researchers, and leadership to develop inventions.Manage external counsel as necessary and review their work to ensure quality and strategic alignment.Contribute to the formulation of a long-term IP strategy that aligns with the company's product and research roadmap.Desired QualificationsA minimum of 4 years of experience as a Patent Agent in a top-tier law firm.A solid background in electrical engineering or a closely related technical discipline.An advanced technical degree (Master’s or PhD strongly preferred).Registered to practice before the USPTO.Proven ability to manage patent prosecution autonomously.Exceptional communication skills, capable of translating complex technical concepts into robust patent claims.CompensationThe compensation range for this role is between $180,000 and $200,000 per year.BenefitsCompetitive equity compensation package.Comprehensive health, vision, and dental insurance.A collaborative work environment with a company size of 20-30 people.Visa sponsorship available.Unlimited paid time off (PTO).

Join Us at TacitAt Tacit, we are a pioneering deep tech startup located in the heart of San Francisco, dedicated to revolutionizing human-computer interaction through innovative hardware solutions. With the backing of esteemed investors such as General Catalyst, Khosla Ventures, and Greylock Partners, our founding team boasts expertise from industry leaders like Stanford, BrainGate, Oculus, and Tesla. Though we are bound by confidentiality regarding specifics, we are passionately engaged in solving advanced engineering challenges to bring groundbreaking products to market.Role OverviewWe are on the lookout for enthusiastic individuals to contribute to the development of our state-of-the-art technology. At Tacit, we emphasize hands-on experience, collaborative learning, and direct engagement in product innovation within an energetic startup atmosphere.Ideal Candidate ProfileA self-starter with a flexible mindset and the ability to resourcefully navigate challenges.Strong communication and teamwork skills.Thrives in a fast-paced startup environment, eager to work independently and contribute to the team.Compensation DetailsWe offer a competitive salary that reflects the role and experience, accompanied by a generous equity package for full-time employees.BenefitsCompetitive equity optionsComprehensive health, vision, and dental coverageA close-knit team of 20-30 professionalsVisa sponsorship availableUnlimited paid time off (PTO)3% 401(k) matching

About TacitTacit is a pioneering deep tech startup located in San Francisco, focused on creating groundbreaking hardware that transforms human-computer interaction. Supported by notable investors such as General Catalyst, Khosla Ventures, and Greylock Partners, our founding team comprises experts from Stanford, BrainGate, Oculus, and Tesla. While we are unable to disclose extensive details at this moment, our team is passionately addressing advanced engineering challenges to develop revolutionary products.About the RoleWe are on the lookout for a driven Electrical Engineering Intern to assist in the development and scaling of test infrastructure for our innovative sensing technology. This internship will provide you with hands-on experience across hardware, firmware, and automation systems, emphasizing the enhancement of test coverage and product reliability. You will have the opportunity to engage in collaborative learning and actively participate in product development within a vibrant startup atmosphere.What You'll DoAutomate lab equipment and validation workflowsDesign and construct custom PCBs for test jigsContribute to embedded firmware to support test hooks and diagnosticsDevelop a continuous integration (CI) test rack to automatically validate firmware releases and sensor performanceAssist in sensor characterization and calibration to minimize device-to-device variabilityDocument and effectively communicate engineering findings and recommendations.Ideal Candidates May HaveProficiency in Python, PCB Design (Altium), Embedded C/C++A strong independent work ethic, adaptability, and resourcefulness.Excellent communication and teamwork abilities.Comfort in a fast-paced startup environment, with a passion for independent building.CompensationHourly rate determined by your individual skills and experience.

About TacitTacit is an innovative, early-stage deep tech startup located in San Francisco, pioneering advanced hardware solutions that revolutionize human-computer interaction. With prestigious backing from General Catalyst, Khosla Ventures, and Greylock Partners, our founding team comprises experts from Stanford, BrainGate, Oculus, and Tesla. While we are still in stealth mode, our team is passionately addressing avant-garde engineering challenges to create groundbreaking products.About the RoleAs a Data Scientist Intern, you will join our Machine Learning and Research team, focusing on the development of state-of-the-art tools and methodologies for data processing and analysis. Your responsibilities will include designing, executing, and analyzing experiments using our unique systems, interpreting results to guide future data collection, hardware design, and enhancing our decoding algorithms. This role will involve hands-on experience with our custom hardware signals and examining performance scaling across diverse user groups.What You'll DoDesign, implement, and test algorithms for extracting features from bio-signals to enhance machine learning models.Rapidly iterate on experiments to evaluate new hardware prototypes and improve data collection methods.Develop visualization tools and establish metrics for data quality assessment.Collaborate with hardware and electrical engineers to optimize the sensing stack.Work alongside the ML team on data augmentation, multimodal training, and synthetic data experiments to enhance generalization.RequirementsCurrently enrolled in or recently graduated from a PhD program in neuroscience, biomedical engineering, computer science, applied mathematics, or a related discipline.Excellent communication and writing skills.Proven ability to collaborate across multidisciplinary teams and adapt quickly to new domains.Proficiency in Python; experience with PyTorch is a plus.Familiarity with dimensionality reduction techniques and time series data analysis.Strong independent work ethic, flexibility, and resourcefulness.Thrives in a fast-paced startup environment and is eager to contribute independently.Preferred QualificationsExperience with machine learning frameworks and data science tools.

About TacitTacit is an innovative, early-stage deep tech startup located in San Francisco, focused on developing groundbreaking hardware to redefine human-computer interactions. With support from prominent investors such as General Catalyst, Khosla Ventures, and Greylock Partners, our founding team brings expertise from renowned institutions including Stanford, BrainGate, Oculus, and Tesla. While we are not ready to disclose our projects fully, we are committed to solving complex engineering challenges to launch revolutionary products.Position OverviewWe are seeking a talented Senior Electrical Engineer to lead the architecture, design, and deployment of next-generation neurotechnology hardware products. As a pivotal member of our expanding hardware team, you will take ownership of significant components of our electrical systems from initial design stages to mass production, playing a crucial role in the realization of sophisticated consumer electronics.Key ResponsibilitiesElectrical System Design & DevelopmentLead the electrical architecture and board-level design for mixed-signal consumer hardware systems from concept to production.Oversee schematic design and guide the development process through EVT, DVT, PVT, and mass production stages.Define system partitioning, interfaces, and component selection across computing, sensors, connectivity, and power subsystems.Conduct rigorous design reviews and establish robust electrical design and manufacturing standards.Collaborate closely with mechanical, firmware, and software teams to enhance performance, size, thermal behavior, and reliability.Effectively navigate a startup environment where engineers manage substantial parts of the hardware stack.High-Speed and High-Density Hardware DesignDesign high-density, multi-layer PCBAs employing HDI techniques, fine-pitch BGAs, and controlled-impedance routing.Implement high-speed digital interfaces such as USB, Quad-SPI, MIPI, CSI/DSI, DDR, or similar buses.Create analog and mixed-signal circuits, including amplifiers, filters, sensor interfaces, and ADC/DAC connections.Optimize PCB layout for signal integrity, power integrity, and low-noise performance.Power Electronics & Battery SystemsDesign and implement power electronics and battery management systems for our devices.Ensure compliance with safety and regulatory standards while optimizing performance and efficiency.

About TacitTacit is an innovative deep tech startup located in San Francisco, dedicated to transforming human-computer interaction through groundbreaking hardware solutions. Our venture is supported by prominent investors such as General Catalyst, Khosla Ventures, and Greylock Partners, with a founding team comprising experts from Stanford, BrainGate, Oculus, and Tesla. We are on a mission to tackle pioneering engineering challenges to bring visionary products to life.About the RoleWe are looking for a passionate PhD student to join us as an Antenna Engineering Intern. In this role, you will collaborate closely with our talented engineers and researchers to design, simulate, analyze, and validate advanced antenna systems for our wireless sensing hardware. This internship offers invaluable hands-on experience throughout the entire product lifecycle, emphasizing design optimization and performance reliability. You will have the unique opportunity to work on impactful problems, contributing directly to 0-to-1 product development in a vibrant startup environment.Key ResponsibilitiesDesign and evaluate antennas for specific wireless channel link budgets, considering various solutions and trade-offs between key performance indicators (KPIs).Conduct computational electromagnetic simulations and develop new models utilizing full-wave electromagnetic software tools.Analyze and interpret simulation results, providing insights and recommendations for design enhancements and performance optimization.Create mock-ups for proof-of-concept prototypes and test vehicles, build testing fixtures and platforms, and develop solutions to automate antenna system development and data analysis workflows.Support the PCB layout design process and DFM reviews, ensuring readiness for mass production with vendors and external manufacturing partners.Collaborate with cross-functional teams to integrate antennas into complete device form factors.Conduct antenna characterization to ensure integrated antennas meet specifications in free space and on-body, from prototype to mass production.Assist in sensor calibration to minimize device-to-device variability and maintain reliable performance under various operating conditions and user scenarios.Optimize hardware systems for low-noise and low-interference, high-resolution signal detection.

About NudgeNudge is dedicated to pioneering innovative technologies that facilitate brain interaction, ultimately enhancing individuals' lives. Our approach begins with the development of a groundbreaking non-invasive, ultrasound-driven device capable of high-resolution brain stimulation and imaging. This initiative encompasses a comprehensive strategy, integrating state-of-the-art hardware, software, and research capabilities, with a vision to create solutions that will positively impact millions, and eventually billions, of lives.To achieve our ambitious goals, we are assembling elite teams across various domains. We seek out individuals who excel in their fields, recognize the value of tackling challenging problems, and are committed to delivering results with relentless execution — fostering an environment of high standards, rigor, and integrity.About the RoleIn your role as a Human Neuroscientist at Nudge, you will:Design, conduct, and interpret ultrasound neuromodulation studies involving human subjects.Synthesize data from observational, behavioral, neuroimaging, and neuromodulation methods into coherent experimental designs.Translate findings from in vitro, animal, and engineering research into applicable human insights.Contribute to the identification of new neuromodulation targets informed by both internal and external research.Effectively communicate scientific findings and results to engineering and team members.Exhibit high integrity in all aspects of your work.About YouWe are in search of research scientists at various levels. Regardless of your career stage, you should possess:A PhD or postdoctoral experience in cognitive neuroscience, neuroengineering, or a related scientific or engineering discipline.A solid understanding of the principles of neuromodulation and neurophysiology.Experience with human brain stimulation techniques, preferably transcranial ultrasonic stimulation.Exceptional skills in interventional data acquisition and analysis, including fMRI, behavioral, and physiological metrics.Proficiency in statistical analysis methodologies.Competence in performing analyses using Python, R, and/or MATLAB.

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.

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 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