Senior Product Manager, Methodology

Join Watershed as a Senior Product Manager, MethodologyAt Watershed, we are at the forefront of enterprise sustainability. Our platform empowers industry leaders like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens to manage climate and ESG data effectively. We help organizations produce audit-ready metrics for regulatory and voluntary reporting, includi…

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

The City and County of San Francisco's Department of Emergency Management is hiring a Public Safety Communications Dispatcher. This role acts as a vital link between residents and emergency services, making sure help reaches those in need quickly and efficiently. Key responsibilities Receive and manage emergency calls from the public Evaluate situations and identify the correct response Relay critical information to police, fire, and medical personnel What we look for Strong communication skills Calm and focused approach under pressure Commitment to public service and community safety Location San Francisco, CA

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.

At Crusoe, our mission is to drive the evolution of energy and intelligence. We are developing the technology that fuels a future where individuals can ambitiously harness AI capabilities without compromising on scale, speed, or sustainability.Join us in revolutionizing AI with sustainable solutions at Crusoe. In this role, you will be at the forefront of innovation, making a significant impact while collaborating with a team that is shaping the future of responsible and transformative cloud infrastructure.About This Role:We are looking for a dedicated Hardware Production/Sustaining Engineer to enhance Crusoe's Hardware Systems Engineering team. This position is critical for bridging essential skill gaps in debugging, validation, and production support for high-performance computing systems. You will manage the entire hardware lifecycle—from prototype initiation to large-scale production—focusing on automation, deep troubleshooting, and reliability within Crusoe Cloud’s GPU- and CPU-oriented infrastructure.Your collaboration with cross-functional teams will be vital in supporting, debugging, and enhancing hardware platforms on a large scale, specifically targeting PCIe, InfiniBand, and NVMe/storage, which have been highlighted as key areas for expanded expertise. Your contributions will directly influence Crusoe’s capability to deploy and maintain sustainable, AI-driven computing systems that deliver exceptional performance and reliability.Your Responsibilities Will Include:Leading the complete hardware development and sustaining lifecycle, encompassing feasibility studies, bring-up, validation, deployment, and ongoing production support.Creating and sustaining automation frameworks and scripts for hardware testing, diagnostics, and continual reliability enhancements.Executing in-depth troubleshooting and debugging across:PCIe (including link training, topology, and performance issues)InfiniBand (focusing on fabric debugging, throughput, and connectivity challenges)NVMe/storage (addressing performance bottlenecks, firmware interactions, and failure analyses)Performing extensive system validation and characterization for GPU, CPU, and high-performance computing platforms.Assisting in end-to-end integration and solution testing to guarantee that Crusoe Cloud products fulfill performance, reliability, and scalability standards.Collaborating with teams across mechanical, thermal, firmware, software, and manufacturing domains to troubleshoot and enhance system performance.

Join Perplexity as an IT Systems Administrator and play a pivotal role in transforming how users engage with the internet. As an early addition to our innovative team, you will have a unique opportunity to build and optimize our technology infrastructure from the ground up, ensuring seamless operations and cutting-edge performance.This position requires you to work in-person at our bustling San Francisco office.Key ResponsibilitiesProcure, maintain, and manage computers, networking devices, and office technologies to ensure operational excellence.Oversee and optimize corporate software systems for enhanced productivity.Enhance and manage our Mobile Device Management (MDM) infrastructure.Implement and uphold security policies and procedures to safeguard our digital assets.Provision and administer user accounts, ensuring appropriate access permissions.Deliver responsive technical support and effectively troubleshoot complex issues.Lead IT initiatives aimed at improving endpoint management, security, and overall infrastructure.Provide technical training and support on IT systems to staff, both in-person and remotely.

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.

The Center for AI Safety (CAIS) stands at the forefront of research and advocacy, dedicated to reducing the significant societal risks associated with artificial intelligence. Through a combination of technical research, community-building initiatives, and strategic policy engagement, we tackle the most pressing challenges posed by AI, working alongside our partner organization in Washington, DC, the Center for AI Safety Action Fund.As public awareness of AI safety burgeons, CAIS recognizes that this growing interest represents a vital opportunity. Engaging content such as videos, articles, and social media posts are rapidly reaching millions, and public curiosity is accelerating week by week. To capitalize on this momentum, CAIS is in the process of assembling a dedicated public engagement team focused on amplifying the discourse surrounding AI safety.We are currently seeking a skilled Narrative Strategist to take charge of our messaging framework and overarching narrative. In this role, you will be responsible for defining narrative structures, key talking points, and strategic guidelines that ensure consistency across all communication channels. You will actively monitor public discourse and collaborate closely with our social media, video, and communications teams to align CAIS's messaging effectively. The Narrative Strategist will report directly to the Head of Public Engagement.

The Center for AI Safety (CAIS) is at the forefront of research and advocacy dedicated to minimizing societal risks associated with artificial intelligence. Our mission is to tackle the most pressing challenges posed by AI through innovative technical research, strategic field-building initiatives, and active policy engagement, alongside our affiliated organization in Washington, D.C., the Center for AI Safety Action Fund. We are seeking a meticulous and organized Operations Manager to join our team. In this pivotal role, you will address a variety of operational challenges and develop robust systems from the ground up. The ideal candidate will significantly enhance our operational efficiency and contribute to our mission of promoting safer AI technologies.

About Us:Aurelius Systems is an innovative, VC-backed defense technology startup focused on developing autonomous, edge-deployed robotics systems utilizing directed energy for counter-unmanned aerial systems (UAS).Our mission is to create laser weapon systems capable of neutralizing drones effectively.With a compact team of around ten engineers, ex-US military personnel, and subject matter experts, we are at the forefront of advancing America's capabilities in directed energy. Our aim is to deliver the first cost-effective, reliable, and robust laser weapon system.Inspired by the principles of Marcus Aurelius, we embrace a culture of relentless effort, with a commitment to delivering exceptional results without excuses. We operate in a flexible environment, leveraging our San Francisco lab and office, alongside our Detroit manufacturing hub, and conduct weekly field tests on our expansive 400-acre private range.If you're an engineer who prefers to witness your work in action rather than confined to a lab, we invite you to continue reading.The Opportunity:As the Power Electronics Engineer, you will lead the development of the power subsystem for our directed energy weapon systems.Your role entails being the technical lead on all aspects ranging from battery pack architecture to laser diode integration. You will not merely implement existing designs; instead, you will define the architecture, make critical decisions, and take ownership of your system during range tests.You will collaborate closely with the electrical engineer on the team, focusing on a depth of knowledge rather than breadth. Your responsibilities will include battery management system (BMS) architecture, high-voltage conversion, fault protection, and power delivery under various field conditions. When a power system issue arises during a range test, you will be the go-to expert, identifying the problem and implementing a solution promptly.Your Responsibilities:Design, develop, and validate battery management systems for high-voltage battery packs, ensuring safe charge/discharge cycles, cell balancing, thermal management, and fault protection.Engineer high-voltage DC/DC converters, rectifiers, inverters, and diode driver electronics for optimal laser power delivery.Create robust wire harnesses for high-power laser and motor systems, focusing on connector selection, routing, shielding, and environmental resilience.Engage in hands-on prototyping, assembly, and testing on our expansive range.Conduct rigorous electrical, environmental, vibration, shock, and robustness testing to ensure system reliability.

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.

The Center for AI Safety (CAIS) is at the forefront of research and advocacy dedicated to addressing the societal-scale challenges posed by artificial intelligence. Our mission is to mitigate the risks associated with AI through innovative technical research, initiatives to foster the field, and strategic policy engagement. Together with our sister organization, the Center for AI Safety Action Fund, we tackle some of the most pressing issues in AI today. In the role of Senior Research Engineer, you will immerse yourself in the dynamic intersection of pioneering machine learning research and dependable engineering practices. You will own research projects from inception to publication, working autonomously with guidance from an advisor. Your responsibilities include designing and conducting experiments on large language models, developing the necessary tools for large-scale model training and evaluation, and transforming findings into research publications. You will collaborate closely with CAIS researchers, as well as external academic and commercial partners, utilizing our compute cluster for extensive training and evaluation. Your work will cover critical areas such as AI honesty, robustness, transparency, and the investigation of trojan/backdoor behaviors, all aimed at reducing the real-world risks posed by advanced AI systems.

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.

About Redwood MaterialsRedwood is pioneering the localization of a global battery supply chain that integrates recovery, reuse, and recycling, ensuring critical minerals remain in circulation and propelling the energy transition forward. Founded in 2017, we are committed to delivering cost-effective and large-scale energy storage solutions and producing battery materials in the U.S. for the first time, utilizing batteries already in circulation.Join us as a Systems Engineer, Energy Storage!As an early member of our new engineering team, you will play a pivotal role in the design, development, and integration of innovative products at Redwood. You will spearhead our system engineering initiatives, fostering collaboration among our mechanical, electrical, and software engineering teams to deliver a cohesive and effective system. Your responsibilities will include defining clear requirements, evaluating and selecting system architectures, and guiding critical decisions across the engineering organization. If you are a proponent of model-driven design and can adapt engineering frameworks to suit a dynamic and fast-paced environment, we want to hear from you!The ideal candidate is highly self-motivated, adaptable to the startup culture, and eager to tackle unique technical challenges. If you thrive in a vibrant, fast-moving setting and are excited about being part of a new team at Redwood, we encourage you to apply!If necessary, the job level will be adjusted to align with the applicant’s experience and responsibilities.

About BleeAt Blee, we are revolutionizing traditional workflows that often rely on spreadsheets and emails by developing AI-first software that integrates the entire organization to meet compliance requirements swiftly, comprehensively, and transparently. Currently, we support thousands of active users across numerous enterprise-grade clients with pledged or paid long-term contracts. Our leadership team comprises former professionals from renowned companies such as Adobe, Chime, PayPal, AWS, Wachtell, Harvard Law, and Columbia Law.We have created the first platform specifically designed to tackle the distinct challenges our clients encounter from start to finish. The ideal candidates for Blee are not only adept problem solvers but are also excited about uncovering the specific issues our users need addressed, many of whom are experiencing a product like Blee for the first time.Our headquarters is located in downtown San Francisco, with a new office opening in NYC soon, and our team is primarily distributed between the Bay Area and New York City.The RoleAs an AI Engineer specializing in agent system design, you will architect and implement cutting-edge intelligent compliance systems. Your responsibilities will include designing frameworks where multiple agents—powered by both custom and foundational models—collaborate to identify, monitor, and elucidate compliance flags. Additionally, you will construct and enhance applied AI/ML pipelines, fine-tune models, develop evaluation frameworks, tailor AI configurations for customers, and train models based on user feedback to deliver more precise compliance recommendations.What You'll DoDesign Multi-Agent Systems – Develop and implement frameworks that combine foundational LLMs and custom-trained models to drive intelligent compliance workflows.Optimize AI/ML Pipelines – Focus on model fine-tuning, prompt engineering, and establishing evaluation frameworks.Ensure Explainability and Traceability – Create systems for transparent flagging, ensuring that each compliance flag can be traced back to previous rules, examples, or data assets.Automate Compliance Rule Translation – Develop platforms that convert compliance rules into agent-ready logic paths.Train and Fine-Tune Models – Enhance compliance accuracy and adaptability by leveraging user feedback and outcomes data for iterative training and personalization.

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

About 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