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Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role DescriptionThe Data Scientist, Fleet Health will be a key member of Gridware’s Fleet team, focused on building fleet health predictive models, thresholds, and optimization frameworks to ensure 99% uptime across our rapidly scaling network of IoT devices. This role will drive the development of advanced intelligence for forecasting device health, predicting potential installation performance, and establishing data-driven criteria for detecting and remediating device degradation. The ideal candidate will bring a strong foundation in applied machine learning and forecasting, comfort working with real-world sensor and fleet data, and a passion for scaling intelligent systems that power resilient clean energy infrastructure. You will work closely with engineering, operations, and product teams to apply insights that both optimize today’s fleet performance and inform the evolution of tomorrow’s solutions. Responsibilities • Develop predictive and forecasting models to anticipate device health issues, solar availability, and connectivity performance, driving proactive interventions and deployment planning., • Define, test, and refine health thresholds to classify degradations, detect regressions, and optimize fleet performance across diverse operating conditions., • Design and evaluate statistical tests and simulations to measure impact, uncover downtime drivers, and identify optimization opportunities., • Collaborate with engineering, fleet operations, and software teams to embed intelligence into automated monitoring and remediation pipelines at scale., • Communicate insights and contribute to scalable fleet intelligence frameworks that support growth from tens of thousands to millions of devices.Required Skills, • Bachelor’s, Master’s degree, or PhD in Engineering, Statistics, Data Science, or a related quantitative field., • 5+ years of applied experience in data science with large-scale, real-world systems (IoT, clean tech, connectivity, or related domains)., • Expertise in forecasting, anomaly detection, and predictive modeling, with experience handling time-series, sensor, or geospatial datasets., • Proficiency in Python with scientific and ML libraries (NumPy, Pandas, SciPy, scikit-learn, Keras, PyTorch) and familiarity with data platforms (SQL, Spark, etc.)., • Strong communicator with the ability to design experiments, validate models, and translate technical findings into actionable insights for cross-functional teams.Bonus Skills, • Experience forecasting solar generation, connectivity performance, or energy resource availability., • Exposure to distributed sensing systems in energy, seismic monitoring, aerospace, industrial IoT, or environmental science., • Background in working with power-constrained, communication-constrained, or solar-powered devices.

Job Description Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeem, Trusteer and more). Cato's unique technology inspired a brand-new product category, later named "SASE" by Gartner and a market expected to reach $25 billion by 2027. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don't miss it! About Aim Security As part of Cato Networks, Aim Security extends the Cato SASE platform into the SaaS layer, giving enterprises real-time visibility, control, and protection across all SaaS applications. Aim goes beyond traditional CASB and SSPM solutions by addressing modern SaaS-native threats such as identity abuse, insider risks, misconfigurations, and sensitive data exposure. By combining Aim's SaaS security innovation with Cato's converged networking and security cloud, we are delivering the industry's most comprehensive enterprise security platform. Responsibilities • Lead and drive technical validation of Aim Security solutions to prospects, • Deliver compelling product demonstrations and presentations that are grounded in aligning to the customer's business objectives, • Partner with Account Executives in acquisition of new business by supporting technical pre-sales activities such as technical product demonstrations, presentations and workshops, • Serve as the primary technical resource throughout the sales cycle, addressing objections and providing technical guidance., • Respond to functional and technical elements of RFIs/RFPs, • Communicate feedback, requests and technical perspectives on product evolution to Product Management teams, • Stay up to date on AI security trends, emerging technologies, and competitor offerings., • 4+ years experience as a Sales Engineer, Solution Architect, or technical pre-sales role, preferably selling and supporting Cybersecurity SaaS products to Enterprise customers, • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)., • Familiar with Value-Selling Methodologies like MEDDIC, MEDDPICC, SPICED, • Conduct discovery calls and technical deep dives for use case mapping and POV scoping, • Strong technical background with demonstrated understanding in several of the following areas: SaaS, AI, Machine Learning, Deep Learning, Rest APIs, SSO, SIEM, cybersecurity frameworks, cloud platforms (AWS, Azure, GCP), Kubernetes, • Strong presentation skills and written communication in emails, RFPs, and reports, • Organized, analytical, creative and adaptive in approach and finding solutions #LI-AC1

Job DescriptionAI Expert Our client is a leading force in advancing safer, smarter AI technology. Their work has been featured in Forbes, The New York Times, and other major outlets for pioneering high-quality, human-verified data that powers today's top AI systems. They've built a global community of expert contributors and have already paid out more than $500 million to professionals worldwide who help train, test, and improve next-generation AI models. Why Join This Team? • Earn up to $35/hr, paid weekly., • Payments via PayPal or AirTM., • No contracts, no 9-to-5. You control your schedule., • Most experts work 5–10 hours/week, with the option to work up to 40 hours from home., • Join a global community of experts contributing to advanced AI tools., • Free access to the Model Playground to interact with leading LLMs.Requirements, • Bachelor's degree or higher (or currently enrolled)., • Strong analytical and problem-solving skills., • Ability to create complex prompts and evaluate nuanced AI reasoning., • Clear, concise writing skills., • Strong attention to detail and accuracy.Nice to Have (if applicable), • Background in literature, creative writing, history, philosophy, theology, etc., • Prior writing or editorial experience., • Interest or background in AI, machine learning, or creative tech tools.What You'll Do, • Adopt a user mindset to create natural, realistic data based on real user needs., • Use structured rubrics to evaluate how well AI systems address user requirements., • Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses., • Contribute across multiple projects depending on your skillset and experience.

Job DescriptionAbout Kiddom Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. What the job involves You will be part of Kiddom’s Data Science team, building the foundation of our search, recommendation, and insights systems. Your work will directly support teachers and students by delivering timely insights, personalized content, and intelligent assistance.What the job involves • Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine., • Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes., • Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs., • Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization., • Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks., • Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems., • Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth.Who you are, • Have 5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets, with 1–2 years in a technical leadership role., • Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization., • Strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)., • Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments., • Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders.Desirable, • Deep expertise in modern deep learning frameworks and advanced LLM architectures., • Experience building evaluation pipelines for ML/AI systems, ensuring reliable measurement of impact and quality in real-world use., • Experience implementing and fine-tuning large language models (LLMs), including prompt engineering, embeddings, and efficient inference optimization., • Familiarity with foundation model adaptation techniques such as PEFT, LoRA, or RLHF., • Self-motivated innovator who thrives in fast-moving environments and is excited to explore emerging AI techniques to solve meaningful problems in education.

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid’s Product team builds the network that powers the future of financial services. Our mission is to unlock financial freedom for everyone through open finance. Product Managers at Plaid are curious, customer-obsessed, and move quickly to deliver value. They take ownership, sweat the details, and make sound decisions with imperfect information. As a Product Manager on the AI Foundations team, you will drive Plaid’s AI strategy by building the data and intelligence layer that powers smarter financial experiences. You will work across engineering, data science, and research to develop scalable AI systems—from core embeddings and representation learning to applied model integrations that enhance developer and consumer outcomes. This role is for an experienced PM who thrives at the intersection of AI and platform products. You are technically fluent, strategic, and execution-oriented. You enjoy turning advanced machine-learning capabilities into reliable, trusted infrastructure that scales across Plaid’s ecosystem.Responsibilities • AI Platform Vision: Define the strategy, roadmap, and success metrics for Plaid’s core AI and data foundation, enabling smarter, more adaptive financial products across the ecosystem., • System Development: Partner with Engineering and Data Science to design scalable AI systems, from model training and evaluation pipelines to APIs that deliver intelligence at scale., • Product Execution: Drive initiatives from concept to production, balancing rapid experimentation with reliability, transparency, and responsible AI practices., • Cross-Functional Collaboration: Work closely with research, platform, and product teams to embed AI capabilities across Plaid’s products and developer platform., • Measurement and Iteration: Use metrics, model performance data, and customer feedback to validate impact, inform prioritization, and continuously improve outcomes., • Communication and Alignment: Translate complex AI concepts into clear narratives and tradeoffs for technical and non-technical stakeholders, building shared understanding across teams.Qualifications, • 8+ years of product management experience with direct experience leading AI/ML or applied intelligence products from concept to production with measurable impact., • Deep technical fluency in how modern ML systems are trained, evaluated, deployed, and monitored, with the ability to engage confidently with engineers and data scientists., • Strategic and executional range. Skilled at defining long-term AI vision while delivering near-term experiments, prototypes, and launches., • Platform mindset and experience building scalable developer or data platforms through well-designed primitives, APIs, and frameworks., • Strong communicator and influencer who can translate complex AI concepts into clear narratives and decisions for technical and non-technical audiences., • Commitment to responsible AI and transparency, especially in regulated or high-trust domains., • [Nice to Have] Hands-on experience with LLMs, embeddings, or agentic systems in production.

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The Earned Wage Access (EWA) team is building Plaid’s industry-leading solution for assessing repayment risk in EWA. By leveraging Plaid’s unique data and modeling capabilities, the team aims to deliver the most accurate and scalable EWA score in the market—surpassing existing offerings and setting a new standard for how partners evaluate and manage risk in this emerging space. As a Data Scientist on the EWA team, you’ll work across the full product lifecycle—from pre-launch evaluation through post-launch retrospectives—to analyze performance, assess repayment patterns, and design strategies that optimize outcomes for partners and end users. You’ll refine Plaid’s EWA risk models, identifying opportunities to improve predictive accuracy and uncover new behavioral signals unique to EWA users. In this role, you’ll also develop new features to strengthen risk prediction, build scalable data pipelines with tools like dbt to automate ETL processes, and create metrics, alerts, and dashboards to continuously monitor production model performance.Responsibilities • Shape Plaid’s first zero-to-one repayment risk framework for earned wage access, setting a new industry standard., • Empower millions of workers with safer, more accessible EWA products by helping partners manage repayment risk responsibly., • Dive deep into Plaid’s unique transaction and balance data to uncover new repayment risk signals., • Partner closely with customers to conduct retros and design repayment strategies, demonstrating real-world impact., • Experiment with new modeling approaches and features tailored for short-term liquidity and repayment behavior., • Build dashboards and monitoring frameworks that bring transparency to repayment risk and model performance., • Collaborate across product, engineering, and data teams to scale Plaid’s EWA risk solutions and improve product-market fit., • Join a high-ownership, bottom-up driven team building the leading EWA score to surpass competitors in the space.Qualifications, • 5+ years of experience in applied analytics, decision science, or risk modeling, ideally within credit, lending, or payments., • Strong ability to analyze and interpret large-scale financial datasets (transactions, balances, repayment behaviors) to generate insights., • Proficiency in SQL, Python, and data visualization/analysis tool., • Experience in model performance evaluation, monitoring, and feature development for credit or risk models., • Ability to partner with customers and internal stakeholders to translate data insights into repayment strategies and product improvements., • A track record of owning projects end-to-end and driving measurable business or customer impact., • Familiarity with financial services, fintech, or EWA/payroll products is a strong plus.

Job Description About the Role Mercor is seeking experienced Child, Family and School Social Workers to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. Key Responsibilities * You’ll be asked to create deliverables regarding common requests within your professional domain * You’ll be asked to review peer developed deliverables to improve AI research Ideal Qualifications * 4+ years professional experience in your respective field * Excellent written communication with strong grammar and spelling skills More About the Opportunity * Fully remote and asynchronous — complete work on your own schedule * Expected workload: ~30 hours per week, with flexibility to scale up to 40 hours * Project start date: immediately, lasting for around 3-4 weeks Compensation & Contract Terms * Independent contractor engagement through Mercor * Hourly compensation, paid weekly via Stripe Connect * Payments based on services rendered; contractors maintain full control over their work schedule and methods About Mercor * Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations * Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey * Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Earn $100 by referring Share the referral link below, and earn $200 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Job Description LegalOn Technologies is a global leader in legal AI solutions, trusted by more than 7,000 companies and law firms worldwide. Our software empowers legal teams to review and negotiate contracts faster, with greater accuracy and confidence. Operating across Japan and the United States, we are backed by leading investors with over $180M raised. We bring together large language models (LLMs), a proprietary Legal Document Graph that organizes complex legal information, and intelligent AI-driven workflows. In partnership with OpenAI, we are redefining the legal AI space and delivering innovative solutions for the future of legal work Role Overview: We are looking for a Senior AI Engineer to join our team. You will be at the forefront of designing, developing, and deploying agentic LLM workflows that leverage cutting-edge AI techniques to streamline contract workflows, with a strong focus on the legal domain. This is a unique opportunity to apply your expertise in AI and software engineering to solve complex, real-world challenges in a high-impact setting. Responsibilities: • Design and implement robust agentic LLM workflows for production., • Integrate AI solutions with existing SaaS platforms, internal APIs, and legal workflow systems., • Evaluate third-party models, frameworks, and services to determine their suitability and integration potential., • Collaborate with cross-functional teams to gather requirements, understand user needs, and deliver high-impact agent solutions., • Build tooling and observability to monitor, test, and evaluate AI agent performance., • Conduct code reviews and maintain best practices in documentation and version control., • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field., • 3+ years of experience in developing agent products or similar AI applications., • Strong proficiency in one programming language (e.g., Python)., • Strong understanding of LLMs, retrieval (RAG), and agent orchestration., • Experience with AI frameworks and agent development tools (e.g., LangGraph, CrewAI, MCP)., • Solid problem-solving skills and meticulous attention to detail., • Effective communication and collaboration skills in a global environment., • PhD. in a relevant technical field., • Experience with cloud platforms such as AWS, Google Cloud, or Azure., • Knowledge of NLP techniques, RAG systems, and prompt engineering., • Contributions to open-source projects or publications in AI research., • Experience deploying and maintaining AI models in production environments. Join our collaborative, high-performance culture driven by curiosity and continuous improvement. You'll work alongside passionate professionals in an environment that fosters innovation and creative problem-solving. Together, we tackle complex challenges in legal automation, leveraging AI to transform the industry. Miscellaneous: • Full-time position, • This role is open to remote candidates, • Flexible work arrangements: for applicants in the Bay Area we offer a hybrid work model with an office in the heart of San Francisco. For others, we embrace a remote working environment, • Competitive compensation and stock options, • Robust benefits: comprehensive health, dental, and vision insurance, generous PTO, plus a 401K plan

Job DescriptionIf this role is still posted then we are still recruiting and needing applications.& THIS IS NOT A REMOTE OR WORK FROM HOME POSITION.& Please read this PDF before applying: recruiting-guy.co/obviant-fullstack-more-info& Position:& Full Stack EngineerSalary Range: $130,000 - $195,000, depending on experienceExperience Required: 6+ yearsJob Location: Arlington, VAModality: On-Site only. & & & & & & & & & Must live within commuting distance of Arlington, VA. or be willing to relocate. & & & & & & & & & Relocation is required but not required prior to starting.Relocation Assistance: YesUS Citizenship Required: Yes About the Role: Obviant is hiring a Full Stack Engineer who loves building products from start to finish. You will shape features, architect scalable systems, and bring clarity to complex problems through thoughtful design and clean code. This is a hands-on role where your ideas and ownership will directly shape the product. We are looking for someone who thrives in a fast-paced environment, values collaboration, and enjoys solving problems that have not been solved before. What You Will Do • & & Own projects from concept to launch, including design, architecture, and implementation., • & & Work across the entire stack, from building APIs to developing intuitive frontends and component libraries., • & & Design system architecture that scales and supports product growth., • & & Build tools and visualizations that make complex data easy to understand., • & & Write reliable, maintainable, and well tested code using TypeScript, JavaScript, React, and Node.js., • & & Collaborate with teammates and users to understand workflows and deliver impactful solutions., • & & Take initiative, share feedback, and help define technical direction. Requirements • & & 6+ years of experience as a full stack engineer, preferably in a startup or high growth environment., • & & Strong knowledge of TypeScript, JavaScript, React, and Node.js., • & & Proven frontend development experience., • & & Experience with system design, architecture, and software best practices., • & & The ability to think critically about tradeoffs and build for long term maintainability., • & & Clear communication skills and a collaborative approach to teamwork., • & & A positive, low ego attitude focused on shared success. Nice to Haves • & & Experience working at large scale technology companies such as AWS, Capital One, or similar., • & & Background in building AI or machine learning enabled products., • & & Experience developing internal tools or platforms that empower other engineers. Additional Expectations • & & US Citizenship is required due to U.S. Department of Defense contracts.

Job DescriptionAs a Customer Success Manager, you will be a strategic advisor for our product offering to customers, ensuring their success and maximizing their value from Windfall's solutions. You will take ownership of a book of business and guide them through the entire lifecycle – from onboarding to expansion. Your role will also be instrumental in driving Windfall's growth by implementing scalable processes. We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.Responsibilities: • Own end-to-end customer experience, including onboarding, product adoption and usage, implementation of best practices, and growth, • Identify new opportunities within the customer base, including potential for increased sales, enhanced analytics, and broader marketing initiatives, • Proactively manage relationships within customer teams, including multi-threading across departments and levels and adapting to changes like new team hires and departures, • Actively track, manage, and promote best practices regarding platform and data usage, including log-ins and data utilization, • Develop internal playbooks and customer-facing content, including best practices and thought leadership pieces, • Develop and implement efficient processes to enhance customer engagement and satisfaction, • Actively manage Annual Recurring Revenue (ARR) through active retention and identification of upsell opportunities, • Contribute to strategic projects and the Customer Success roadmap to drive continuous improvement, • Partner with other Windfall departments on internal enablement, webinars, and internal or customer-facing documentation, • Lead efforts to validate and enhance the effectiveness of Windfall's offeringsRequirements:, • Bachelor’s degree, • At least 3 years of experience in analytical, customer-facing roles (e.g., consulting, customer success, growth strategy, marketing), • Familiarity with digital marketing and performance measurement, • Established track record of building relationships and presenting to Directors, VPs, and C-level executives, • Passion for learning, • Experience with CRMs with a preference towards Salesforce and HubSpotPreferred Requirements:, • Prior startup experience, particularly in B2B SaaS or data companies, • Proficiency in advanced PowerPoint (with high design standards) and intermediate Excel (including pivots)Attributes of Successful Candidates:, • Thrives in the challenges of startups, motivated by the opportunity for rapid learning and growth rather than a traditional 9-to-5 routine, • Exemplary organizational skills and meticulous attention to detail, coupled with a commitment to task completion and thoroughness, • Outstanding verbal and written communication skills, capable of simplifying complex issues and adjusting communication styles for diverse audiences, • Highly analytical and adept at problem solving

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Role: We're hiring a Principal Engineer to lead critical architectural decisions that establish industry-leading standards for reliability and operational excellence. This is a high-leverage, hands-on role focused on optimizing performance, driving engineering velocity, and leading systemic architectural change. The role reports to the Senior Director of Technical Infrastructure. We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.In this role, you will: • Platform Reliability (SLO Focus): Lead the strategy and implementation necessary to achieve and maintain our 99.95% availability target. This includes evolving our multi-region deployment strategy and optimizing for resilience under sustained, high-volume traffic, • Data Backbone Scaling: Define the architectural approach for scaling our core data systems, optimizing performance across Cloud Spanner, PlanetScale MySQL, and BigQuery, • Compute & Service Mesh: Drive performance and efficiency improvements across our managed compute environment, specifically optimizing Kubernetes (GKE) clusters and managing the performance and operational complexity of Istio, • Developer Velocity & CI/CD: Architect high-leverage internal platforms, designing the pipelines across tools like GitHub Actions, CircleCI, and ArgoCD, and driving organizational influence to standardize high-velocity, safe deployment practices, • Incident & Learning Culture: Drive reliability change across the engineering organization by leveraging deep-dive analysis of incidents (Jeli) and proactive monitoring (Datadog), improving operational practices, and influencing architectural design decisions, • Performance & Cost Engineering: Act as a technical owner for the cost-per-request metric, identifying and implementing architectural efficiencies (caching, connection pooling, resource utilization) that scale down infrastructure spend while maintaining service speedWhat you bring to the table:, • Deep technical mastery and hands-on experience across three or more of the following high-leverage domains with 10+ years of experience in software development, site reliability engineering, or platform engineering, • A proven track record of driving significant architectural outcomes as a Principal or Staff Engineer in a high-scale platform or infrastructure role, • Global Scale & Resilience: A history of scaling consumer-facing systems that reliably handle tens of thousands of requests per second (RPS) and successfully achieving high-availability targets across multi-region cloud environments, • Data Systems: Deep expertise in architecting and optimizing complex data backbones involving transactional, globally consistent (e.g., Cloud Spanner / PlanetScale), and analytical systems (BigQuery)., • Container Orchestration & Networking: Strong operational knowledge of Kubernetes (GKE) orchestration layered with a Service Mesh (Istio), including traffic shaping, security, and performance tuning., • Developer Velocity Tooling: Proven ability to design and implement automated CI/CD pipelines leveraging tools like GitHub Actions, CircleCI, and ArgoCD, with a track record of successfully deploying AI developer tools and workflows, • Observability & Incident Management: Mastery in implementing comprehensive monitoring using Datadog for defining SLOs and performing deep-dive investigations, and a strong background in leading structured incident response using tools like Jeli, • Cloud Architecture: Extensive experience in designing and optimizing large-scale cloud-native architecture on GCP (or equivalent cloud providers), including network optimization (e.g., Cloudflare integration) and infrastructure cost managementCompensation, Benefits & Perks:, • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $260,000 - $320,000, depending on location and experience, as well as company stock options, • Collaborate with your manager and team to create a healthy work-life balance, • 20 vacation days that we expect you to take!, • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice), • Employer-sponsored 401k plan with company match, • Access to LinkedIn Learning and other resources to support professional growth, • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-FT We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionTo help keep everyone safe, we encourage all applicants to pay close attention to protect themselves during their job search. When applying for a position online you are at risk of being targeted by malicious actors looking for personal data. Please be aware we will only reach out via email using the domain quanata.com. Anything that does not match those domains should be ignored and considered a security risk. About Us Quanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer, State Farm. Learn more about us and our work at quanata.comOur TeamFrom data scientists and actuaries to engineers, designers and marketers, we're a world class team of tech-minded professionals from some of the best companies in Silicon Valley, and around the world. We've come together to create the context-based insurance solutions and experiences of the future. We know that the key to our success isn't just about nailing the technology—it's hiring the talented people who will help us continue to make a quantifiable impact.The role The Senior Growth Marketing Manager will manage Quanata's aggregator and internet lead providers growth strategy and implementations. This role combines performance marketing acumen with product management discipline, ensuring that our marketing systems, data integrations, and bidding models deliver profitable, scalable growth. This role is uniquely positioned at the intersection of marketing and product development—responsible for building the technical and analytical foundation that powers efficient, scalable acquisition. The ideal candidate will have hands-on aggregator experience, a deep understanding of the insurance funnel, and the technical fluency to collaborate with data science and engineering teams on system-level improvements. You'll define how we leverage data, automation, and experimentation to optimize every step of the aggregator funnel—from lead sourcing and scoring to conversion and lifetime value. Your day-to-day • Manager Aggregator/Internet Lead Provider: Own and optimize Quanata's aggregator and internet lead provider channel investments, ensuring alignment with business goals, performance targets, and profitability thresholds., • Bridge Marketing and Product: Partner with Product, Engineering, and Data Science to design and enhance APIs, data pipelines, and automated optimization systems supporting lead delivery, scoring, and bidding., • Build Analytical Infrastructure: Define measurement frameworks, attribution models, and LTV-driven decision systems that improve how we evaluate aggregator performance., • Run Advanced Experimentation: Implement A/B and multivariate testing frameworks across creative, pricing, and bidding variables to uncover growth levers., • Operationalize Data-Driven Growth: Translate model insights (e.g., conversion probability, risk segmentation, DSS scores) into actionable bid and budget strategies., • Influence and Communicate: Present complex findings clearly and persuasively to executive stakeholders, connecting analytics and engineering insights to growth outcomes., • Scale Efficiently: Build repeatable playbooks for lead quality improvement, CPA optimization, and channel diversification.About you, • Master's degree in a STEM field (e.g., Computer Science, Engineering, Applied Math, Economics, or Data Science) or equivalent experience and;, • 7+ years in growth marketing, growth product, or technical acquisition roles, ideally in the insurance, financial services or aggregator ecosystem., • Deep hands-on experience with major insurance aggregators such as MediaAlpha, EverQuote, Jerry, or PolicyGenius., • Advanced analytical and technical fluency—comfortable working with SQL, Looker, Snowflake, and data visualization tools., • Strong understanding of data architecture, marketing APIs, and attribution systems (e.g., Google Campaign Manager, MMPs, tag management)., • Proven ability to design and execute experiments that inform product development and marketing optimization., • Experience collaborating closely with engineering and data science teams to operationalize models and automate decisioning., • Deep understanding of insurance lead funnels, including quoting, binding, and lifetime value economics., • Strong communication skills—able to bridge technical depth with business clarity. Bonus points • Experience in auto or personal lines insurance, especially within a multi-channel or digital insurance marketing environment. *Please note that the final salary offered will be determined based on the selected candidate's skills, and experience, as well as the internal salary structure at Quanata. Our aim is to offer a competitive and equitable compensation package that reflects the candidate's expertise and contributions to our organization. Additional Details: • Benefits: We provide a wide variety of health, wellness and other benefits.These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents, a Headspace app subscription, monthly wellness allowance and a 401(k) Plan with a company match., • Work from Home Equipment: Given our virtual environment— in order to set you up for success at home, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also, our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day., • Paid Time Off: All employees accrue four weeks of PTO in their first year of employment. New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child. The twelve weeks is applicable to both birthing and non-birthing parent., • Personal and Professional Development: We're committed to investing in and helping our people grow personally and professionally. All employees receive up to $5000 each year for professional learning, continuing education and career development. All team members also receive LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp., • Location: We are a remote-first company for most positions so you may work from anywhere you like in the U.S, excluding U.S. territories. For most positions, occasional travel may be requested or encouraged but is not required. Some positions might require travel per the job description provided to the employee. Employees based in the San Francisco Bay Area or in Providence, Rhode Island may commute to one of our local offices as desired.

Job DescriptionWe are searching for a full-time Technical Project Manager who will help us deliver and deploy our AI-based autonomous industrial robotic solutions into customer hands. As a Technical Project Manager you will be an integral part of generating and maintaining development timelines across multiple projects. You will work closely with Engineering to make sure we are meeting our internal objectives and external deliverables. With input from Product and Solutions, you will develop and communicate ambitious project plans to ensure our development teams deliver within scope and on time. At OSARO we develop solutions to endow industrial robots with the level of autonomy needed to perform an unprecedented variety of complex pick and place tasks leveraging sophisticated robot control and neural network-based perception algorithms. We value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. You are someone who cares deeply about your team so you are both direct and believe in doing what you say.What You'll be Doing • Assisting in the definition of project scope and objectives, involving all relevant stakeholders., • Developing detailed technical project plans and monitoring, tracking, documenting decisions, and communicating progress across teams., • Facilitating breakdown of work (asking questions, making sure right voices are heard, managing resource dependencies, coordinating and scheduling project tasks, divvying up responsibilities to internal groups)., • Being a conduit for information by facilitating back and forth with the Product & Engineering teams., • Coordinating resource availability for the flawless execution of projects and to meet customer deployment timelines., • Advising on and handling risk and issue management, exposing dependencies and blockers., • Implementing and managing change when necessary to meet project outputs., • External communication and coordination with contractors., • Light travel - 10%.Experience and Skills You'll Need, • Technical background and expertise, • 5+ years experience in technical project planning and management., • Exceptional communication and interpersonal skills with both internal and external parties. You realize the best way to manage projects is through the people., • Experience acting as a scrum master, facilitating sprint planning, and ensuring outcomes meet acceptance criteria., • Ability to use multiple methodologies (such as agile and waterfall) to manage teams with varying development cycles and priorities., • Understanding of how various technical pieces come together in complex, multi-disciplinary technical projects., • Experience in strategic planning, risk management and/or change management., • Extraordinary attention to detail., • Excellent decision-making and leadership capabilities., • Proficient use of RACI charts, JIRA, and other project management software to help drive progress., • Endless curiosity and openness to learning from others., • Legal authorization to work in the U.S. is required.Bonus if You Have, • Project management qualification (PMP) or equivalent.

Job DescriptionWindfall is seeking a Sr. Data Engineer to join our data team. As a Sr. Data Engineer on our data team, you will be building out the core data asset that everything else at Windfall is built on top of. Communication and collaboration are at the heart of Windfall, and you will work closely with our product, data science, and other engineering teams. You will personally design and build the pipelines for massive datasets, taking them all the way from inception to exploration to production and customer use. We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.Responsibilities: • Construct data pipelines to ingest and merge billions of individual entities into Windfall’s core data asset, • Work closely with our data science team to run ML models on top of billions of data points, • Build supporting data services and applications to orchestrate and monitor our data systemsSome technology you will use:, • Cloud platform - GCP, • Programming languages - Java, Python, and Kotlin, • Data warehouse & databases - BigQuery, Postgres, Scylla/Cassandra, • Distributed processing frameworks - Dataflow (Apache Beam) and Apache Spark, • Orchestration - AirflowRequirements:, • 4-8 years of professional data engineering experience, • Significant experience working with Apache Beam/Spark/Flink or MapReduce, • Strong Object-oriented programming ability in a JVM language, • Expert knowledge of distributed data processing, • Familiarity with different datastores, their differences, and appropriate usages, • Experience at a sub-200 person company, • You communicate as well as you code, • You can simplify complex problems into simple solutions, • You balance a strong sense of ownership and responsibility in your work with collaboration and team alignment, • You are comfortable making trade-offs between quality, complexity, and speed-of-deliveryPreferred Qualifications:, • Proven experience taking a large project from ideation to production, • Experience leading greenfield projects

Job Description Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America’s food supply by building the AI farmer that automates our nation’s farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before. What We Do: We start by collecting the most valuable data for farmers, telling them everything about what is growing on their millions of trees, across thousands of acres of farmland. We do this using advanced camera systems we build, that take pictures of every one of the billions of fruit in a farm. This data lives in our cloud data platform, FruitScope, that we've developed from the ground up to help farmers manage their crops with precision. Farmers across the nation use our industry-leading software to look at their data, make critical decisions, and command farming operations on a daily basis. Our technology is used today across some of the largest farms in the nation. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. About the role: * As an early engineer, you'll receive generous equity compensation * Full-time role at our San Francisco, CA office * Flexible working hours * Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium * We move fast, and sometimes this means staying late or working weekends * Our team is close-knit & highly driven, you’ll work directly with our CEO and entire team * We’re deeply motivated by the impact we’re making – every line of code written or new system built means less food that goes to waste, and more people who are fed. What you’ll do: * Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms. * Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems. * Develop, deploy, and monitor infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices. * Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance. * Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. * Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. * Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: * 3-5+ years of experience building production-grade data pipelines and ML infrastructure. * Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch). * Strong experience with data engineering tools (e.g., Pandas, SQL, Apache Airflow, Spark). * Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). * Experience working with massive amounts of real-world training data. * Familiarity with MLops software and data engineering to ensure consistent deployment of ML models. * Ability to work independently, learn quickly, and operate in a dynamic environment * Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: * Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson * Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $150K - $265K

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid’s Data team is building data insights and models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art data analytics techniques to different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork. You’ll be a data scientist as a part of the Data organization, contributing to diverse, high-impact data insights and machine learning challenges. Specifically, you will focus on driving business impact, and production directions through data analysis and potentially help evaluate and improve ML solutions and systems. If you're interested in building state-of-the-art Data/ML solutions to unblock financial freedom for everyone, let's chat!Responsibilities • Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products, • Conducting large-scale A/B experiments, • Identifying useful signals that can be fed into machine learning models., • Informing and influencing product and engineering teams through your data analysis and presentations, • Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid, • Championing a data-first approach toward decision-making across the entire organization.Qualifications, • 5+ years of industry experience in a product-focused Data Science role, • Deep familiarity with SQL and data visualization tools, • Experiencing conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations, • Familiarity with the AWS stack, • Understanding of modern machine learning (ML) techniques, such as classification, clustering, optimization, deep neural network, and natural language processing, • Proven ability to tailor your solutions to business problems in a cross-functional team, • Ability to code and iterate independently in Python to conduct exploratory data analysis, • Experience building data pipelines in DBT or Airflow is a plus

Job DescriptionAbout Us Andromeda Robotics is an ambitious social robotics company with offices in Melbourne and San Francisco, dedicated to creating robots that seamlessly and intelligently interact with the human world. Our first robot, Abi, is a testament to this vision—a custom-built platform designed from the ground up to be a helpful aid and intuitive partner in aged care homes. We are a passionate, collaborative team of engineers who solve some of the most challenging problems in AI and robotics. To accelerate our development and ensure Abi's reliability, we are seeking a foundational member to build out our capabilities to train and test our robot in simulation. Our Values Deeply empathetic - Kindness and compassion are at the heart of everything we do. Purposely playful - Play sharpens focus. It keeps us curious, fast and obsessed with the craft. Relentlessly striving - With relentless ambition, an action bias and constant curiosity, we don’t settle. Strong when it counts - Tenacious under pressure, we expect problems and stay in motion to adapt and progress. United in action - Different minds. Shared mission. No passengers. The Role We are looking for a creative and driven Simulation and Test Engineer to build Andromeda's testing infrastructure for our conversational AI systems and embodied character behaviours. Your immediate focus will be creating robust test systems for Abi's voice-to-voice chatbot, social awareness perception, and gesture motor control. As this infrastructure matures, you'll extend it into simulation environments for generating synthetic training data for character animation and gesture models. The Team You'll work at the intersection of our character software, robotics, perception, conversational AI, controls, and audio engineering teams. We bring deep expertise from autonomous vehicles and robotics, including simulation backgrounds. You'll collaborate with product owners and technical specialists to define requirements, integrate systems, and ensure quality across our AI/ML stack. Requirements Phase 1: Build The Test Foundation • Define and stand up synthetic test environments for our AI/ML conversational stack, • Conversational AI testing: voice-to-voice chat quality, response appropriateness, tool calling accuracy, • Memory system testing: context retention, recall accuracy, conversation coherence, • Audio modelling and testing: multi-speaker scenarios, room acoustics, voice activity detection, • Perception system testing: social awareness (face detection, gaze tracking, person tracking), • Gesture appropriateness testing: Working with our Controls/ML team, create test infrastructure to validate that Abi's body gestures, • CI/CD and automated regression testing for all AI/ML subsystems, • Custodian of quality metrics: if they don't exist, work with stakeholders to elicit use cases, derive requirements, and establish measurable quality metrics, • Extend test environments into training data generation pipelines, • Investigate and stand up simulation tools (e.g. Unity, Unreal Engine, Isaac Sim) to support our machine learning pipeline with synthetic data and validation infrastructure, • Build infrastructure for fine-tuning character animation models on simulated multi-actor scenarios, • Enable ML-generated gesture development to augment hand-crafted animation workflows You'll design tests that push our systems beyond their limits and find what's brittle. Through trade studies and make-vs-buy decisions, you'll establish the infrastructure, set up automatic regression tests, and trace test cases back to high-level requirements. You'll be the final guardian, verifying that our AI and machine learning systems work as intended before integration with Abi's physical platform. Your work will directly impact the speed and quality of our development, ensuring that every software build is robust, reliable, and safe. Key Responsibilities • Architect and Build: Design, develop, and maintain scalable test infrastructure for conversational AI, perception, and gesture control systems, • Own Testing Pipeline: Develop a robust CI/CD pipeline for automated regression testing, enabling rapid iteration and guaranteeing quality before deployment, • Develop Test Scenarios: Create diverse audio environments, multi-actor social scenarios, and edge cases to rigorously test Abi's conversational and social capabilities, • Model with Fidelity: Implement accurate models of Abi's hardware stack (cameras, microphone array, upper body motion) as needed for test and simulation scenarios, • Enable Future ML Training: Design test infrastructure with an eye towards evolution into a simulation platform for generating synthetic training data for character animation and gesture models, • Integrate and Collaborate: Work closely with the robotics, AI, and software teams to seamlessly integrate their stacks into the test infrastructure and define testing requirements, • Analyse and Improve: Develop metrics, tools, and dashboards to analyse test data, identify bugs, track performance, and provide actionable feedback to the engineering teamsIdeally You Have, • Bachelor or Masters in Computer Science, Robotics, Engineering, or a related field, • 5+ years of professional experience testing complex AI/ML systems (conversational AI, perception systems, or embodied AI), • Strong programming proficiency in Python (essential); C++ experience valuable, • Hands-on experience with LLM testing, voice AI systems, or chatbot evaluation frameworks, • Understanding of audio processing, speech recognition, and/or computer vision fundamentals, • Experience with testing frameworks and CI/CD tools (pytest, Jenkins, GitHub Actions, etc.), • Familiarity with ML evaluation metrics and experimental design, • A proactive, first-principles thinker who is excited by the prospect of owning a critical system at an early-stage startupBonus Points, • Experience with simulation platforms (e.g. Unity, Unreal Engine, NVIDIA Isaac Sim, Gazebo) and physics engines, • Experience with character animation systems, motion capture data, or gesture generation, • Knowledge of reinforcement learning, imitation learning, or synthetic data generation for training ML models, • Experience with 3D modelling tools and game engine content creation, • Understanding of ROS2 for robotics integration, • Knowledge of sensor modelling techniques for cameras and audio, • Experience building and managing large-scale, cloud-based simulation infrastructure The expected base salary range for this role, when performed in our San Francisco office, is $150,000 - $250,000 USD, depending on skills and experience. The salary for this position may vary depending on factors such as job-related knowledge, skills, and experience. The total compensation package may also include additional benefits or components based on the specific role. Details will be provided if an employment offer is made. If you’re excited about this role but don’t meet every requirement, that’s okay—we encourage you to apply. At Andromeda Robotics, we celebrate diversity and are committed to creating an inclusive environment for all employees. Let’s build the future together. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s cutting-edge fraud detection products. By leveraging Plaid’s extensive network data, we enable proactive fraud prevention—stopping fraud before it happens. Our team owns the entire ML lifecycle, from developing feature pipelines and training models to deploying and monitoring them in production. We ensure that our systems scale reliably and efficiently as Plaid continues to grow and support hundreds of customers. As a Staff Machine Learning Engineer on Plaid’s Fraud Data team, you will design and build scalable ML infrastructure that powers our industry-leading fraud detection product. You’ll lead the evolution of our model deployment, monitoring, and observability frameworks to ensure high reliability and performance at scale. Collaborating closely with teams across ML Infrastructure, Product, and Engineering, you’ll deliver robust systems that protect users and customers from fraud. In addition, you’ll mentor other engineers and help shape the long-term technical vision and strategy of the Fraud Data team. Responsibilities • Design and build scalable ML infrastructure for Plaid’s fraud detection product, • Working at a fast-pace environment to build a rapidly growing product with a championship team, • Solving complex problems at the intersection of ML systems, data, and reliability, • Building the foundations for fraud detection on the largest financial dataset in the world, • Collaborating with talented engineers and data scientists across PlaidQualifications, • 8+ years total experience, with at least 5 years building and deploying production ML systems., • Proven experience in machine learning infrastructure/operations., • Demonstrated technical leadership and architectural vision, driving systems from concept to production., • Proficiency in Python, PyTorch, Spark, SageMaker, and Airflow, or equivalent technologies., • Nice to have - experience working in fraud detection, risk modeling, or financial security domains.

Job DescriptionAbout Mithrl We envision a world where novel drugs and therapies reach patients in months, not years, accelerating breakthroughs that save lives. Mithrl is building the world’s first commercially available AI Co-Scientist—a discovery engine that empowers life science teams to go from messy biological data to novel insights in minutes. Scientists ask questions in natural language, and Mithrl answers with real analysis, novel targets, and patent-ready reports. No coding. No waiting. No bioinformatics bottlenecks. We are the fastest growing tech-bio startup in the Bay Area with over 12X YoY revenue growth. Our platform is already being used by teams at some of the largest biotechs and big pharma across three continents to accelerate and uncover breakthroughs—from target discovery to mechanism of action. Why This Role Matters We’re not just running pipelines. We’re building systems that think like scientists. As a Senior Bioinformatician at Mithrl, you’ll play a critical role in shaping how our AI platform understands and interprets complex genomics data—across bulk RNA-seq, single-cell, CRISPR, and beyond. You won’t just run tools, you’ll know how they work. You’ll help us design smarter algorithms, build analysis frameworks that generalize, and uncover insights that matter to drug discovery teams around the world. You’ll work closely with our AI scientists, software engineers, and customer partners to bridge data, computation, and biology in real time. What You’ll Do * Ownership: Own the full bioinformatics stack -- from ingesting raw data to generating insights that drive real-world drug program decisions. Your work will be the scientific backbone of Mithrl’s AI. * Work closely with our product, AI, and customer teams to make sure your work is not just technically correct, but biologically meaningful and decision-driving * Go beyond pipelines: Understand what tools are doing, why results look the way they do, and how to improve them * Collaborate with engineers and product teams to turn bioinformatics insights into scalable software features * Validate findings, spot inconsistencies, and suggest new hypotheses for customers and internal use * Translate messy biological questions into clean computational problems, and vice versa * Mentor junior scientists and review technical outputs to ensure scientific accuracy * Stay up-to-date on the latest methods in transcriptomics, functional genomics, and statistical analysis What We’re Looking For * 5–10 years of experience in bioinformatics * Deep fluency in Python and SQL, including experience working directly with structured genomics data at scale * Strong grasp of statistical and machine learning methods applied to high-throughput biological data * Hands-on experience with modern genomics tools and file formats (e.g., GWAS, aligners, etc.) * Ability to interpret and debug pipeline results; not just run them * Strong scientific judgment, clarity in communication, and attention to detail * **Curiosity, persistence, and a drive to understand how things work * **High energy, strong work ethic, and a track record of getting things done * **Discipline Wins: At Mithrl, the social currency is hard work and consistency. The problems we’re solving are complex and take time to bear fruit. We value teammates who show up every day, work with focus, and bring long-term discipline to their craft * Bonus: Experience working with AI/ML scientists or integrating bioinformatics with production software What You’ll Love * Scope: Shape how a cutting-edge AI platform thinks about biology and delivers real insight * Impact: Your work will directly influence drug discovery decisions at top biotech companies * Team: Join a world-class crew of AI scientists, engineers, and biologists working together at full speed * Culture: No ego, no bureaucracy. Just deep thinking, fast execution, and high ownership * Location: Beautiful SF office with a focus on in-person, high-bandwidth collaboration * Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Role As a Staff Software Engineer, you will lead architectural efforts for Quizlet’s identity, messaging, and trust & safety platforms. You’ll design secure and scalable systems for authentication, consent, and privacy, while guiding other engineers and influencing cross-team initiatives. Your work will ensure our infrastructure is resilient, compliant, and built for long-term growth. This is an onsite position in our San Francisco office, with a minimum of three days per week onsite: Monday, Wednesday, and Thursday.In this role, you will • Lead architecture for authentication, authorization, and account management systems., • Build frameworks for consent management, secure messaging, and user protection., • Modernize legacy systems to improve scalability, observability, and compliance., • Partner with product, legal, and data teams to align trust & safety priorities., • Mentor engineers and help define long-term technical standards.What you bring to the table, • 8+ years of backend/platform engineering experience, with expertise in identity or trust systems., • Demonstrated success leading cross-functional technical initiatives., • Strong knowledge of secure system design and data protection., • Hands-on experience with Node.js, Go, Python, or TypeScript., • Ability to influence technical direction and mentor peers.Compensation, Benefits & Perks, • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps., • Total compensation for this role is market competitive, including a starting base salary of $220,700 - $268,100, depending on location and experience, as well as company stock options., • Collaborate with your manager and team to create a healthy work-life balance, • 20 vacation days that we expect you to take!, • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice), • Employer-sponsored 401(k) plan with company match, • Access to LinkedIn Learning and other resources to support professional growth, • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-FT We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout the Company e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it’s a daily routine that nourishes your skin barrier over time. In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 26 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. Visit our Career Page to learn more about our team: Position Summary: We’re looking for a bold, visionary, and hands-on Head of Data & AI to architect and operationalize our data-driven future. This leader will shape our AI-first data strategy, build a world-class data foundation, and accelerate value creation across analytics, automation, and intelligent experiences. You’ll own the full lifecycle of our data ecosystem — from architecture to governance to AI activation — ensuring that data is not just reliable and compliant, but ready to power the next generation of business intelligence, personalization, and autonomous decision-making.Responsibilities: • Lead enterprise data architecture and platforms — design and scale a modern, cloud-based data stack leveraging Snowflake, Atlan, and complementary technologies (e.g., dbt, Fivetran, Airflow)., • Establish data observability and quality frameworks — ensure data lineage, reliability, and real-time insights across all systems., • Drive AI-first data strategy — enable machine learning and generative AI capabilities through structured data tagging, metadata management, and model-ready pipelines., • Partner with business and technology teams — turn data into action by collaborating across digital, marketing, finance, and operations to define use cases, KPIs, and outcomes., • Governance and compliance — define robust policies for privacy, security, and ethical AI use; partner with Legal and Security teams to align with evolving regulations., • Build and lead a high-performance global data team — recruit, mentor, and inspire data engineers, architects, and AI specialists., • Accelerate insight to impact — democratize data access, foster a culture of experimentation, and drive adoption of self-service analytics and AI tools.Requirements:, • 10+ years leading enterprise data engineering, architecture, or AI initiatives., • Deep expertise in Snowflake and metadata management platforms such as Atlan, Collibra, or Alation., • Proven experience implementing data observability, lineage, and monitoring tools (e.g., Monte Carlo, Databand, Soda)., • Strong understanding of data governance, privacy, and MLOps principles., • Demonstrated success building and scaling AI-ready data platforms — enabling ML pipelines, model serving, or generative AI use cases., • Experience leading cross-functional collaboration between engineering, analytics, and business teams., • Strategic mindset balanced with a bias for execution and operational excellence.Attributes That Make You Stand Out:, • You think like a product owner for data — obsessed with usability, adoption, and measurable value., • You lead with clarity and curiosity, connecting business ambition to technical architecture., • You embrace experimentation and governance as dual engines of innovation.

Job Description Senior Robotics Software Engineer Location: Onsite – San Francisco Bay Area (local candidates preferred) Salary Range: $150,000–$200,000 per year Employment Type: Full-time, Direct Hire Overview A pioneering robotics startup is developing autonomous surgical systems designed to dramatically reduce the learning curve for surgeons. By leveraging off-the-shelf hardware and building proprietary software for planning, control, and machine learning, the team enables high-level surgical guidance to be executed with speed and precision. This role focuses on writing robotics software—not defining control logic or algorithms—and is ideal for engineers who thrive in fast-paced, product-driven environments. Role Summary The Senior Robotics Software Engineer will join a small, highly technical team working on real-time, high-performance systems. The ideal candidate combines robotics expertise, strong coding skills, and a startup mindset. Team collaboration and communication are essential, as the work spans multiple disciplines and requires rapid iteration. Key Responsibilities · Write clean, high-performance, maintainable code in C++ and Python · Develop and support software applications, interfaces, and new feature enhancements · Architect robust, scalable software systems · Support testing and deployment of new products · Participate in code reviews and team collaboration Required Qualifications · Bachelor’s degree in Computer Science, Robotics, or a related field · Minimum 3 years of relevant robotics experience (strong coders with 1 year + internships may be considered) · Expertise in C++ and/or Python · Experience with Linux-based systems · Experience with cloud technologies · Strong software engineering fundamentals and ability to deliver production-ready code Preferred Qualifications · Experience with ROS/ROS2 (Robot Operating System) · Familiarity with Agile or Scrum development methodologies · Exposure to medical or healthcare technologies · Prior startup experience or comfort working in fast-paced environments Additional Requirements · Candidate must live in or relocate to the San Francisco Bay Area · Candidate must be comfortable viewing real surgical procedures during onsite visits · Candidate must be available to travel up to once per month to customer sites · Not open to OPT candidates · Candidates with a research-heavy background and limited product delivery experience are unlikely to be a fit Tech Stack · Core: C++, Python · Additional: ROS, React, TypeScript, Linux, Cloud platforms

Job Description Who We Are At TwelveLabs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-language modeling, allowing developers to build programs with state-of-the-art semantic search, summarization and analysis capabilities. TwelveLabs has raised $107 million in Seed + Series A funding from world-class VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. About The Role As a Machine Learning Engineer at TwelveLabs, you will drive our ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows. Scaling our training, inference, and evaluation systems — all while improving the reliability of our model deployments / operations / versioning / etc. — is the essence of the role. This role is a perfect fit for senior engineers who get excited by the prospect of advancing the State of the Art in vision-language modeling by perfecting ML systems and infrastructure! In This Role, You Will: * Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency e2e systems * Scale multimodal AI/ML systems for video understanding * Deliver industry leading applied research solutions to problems like VLM finetuning, auto-labeling of video-text datasets, and model-based filtering of said datasets to optimize (end-)model performance * Build the highest impact, not the flashiest, libraries and services You May Be A Good Fit If You Have: * 2+ years of relevant industry experience * Strong Python coding skills * Experience with modern ML frameworks (i.e. PyTorch, Tensorflow) * Excellent problem-solving skills and attention to detail Strong Candidates May Also Have Experience: * With at least one statically typed language (we use Golang) * Building 0-to-1 mission critical AI/ML applications from scratch * Optimizing model inference (TensorRT, ONNX, Triton Inference Server) * Working with FFmpeg or other high performance image/video processing libraries Interview Process 1. Recruiter Phone Screen, 2. Initial Technical Assessment, 3. Hiring Manager Interview, 4. Onsite Technical Interview [In-Person], 5. Final Interview: Culture Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. Benefits and Perks 🤝 An open and inclusive culture and work environment. 🧑️‍💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology. 🦷 Full health, dental, and vision benefits. ✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. 🛂 VISA support (such as H1B and OPT transfer for US employees). Compensation Range: $170K - $280K

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The Data Foundation & AI team builds advanced ML/AI models and applications that enable product teams to deliver intelligence at scale. We design infrastructure and abstractions that make AI development faster, more reliable, and more impactful. From embeddings and representation learning to applied AI systems, our work provides the building blocks for the next generation of financial services on Plaid. You’ll be a machine learning engineer on the Data Foundation & AI team. In this role, you will design, build, and scale advanced ML/AI systems that power Plaid products and applications. Your work may span developing reliable distributed training and serving systems, improving ML operations at scale, and building AI-powered applications that enable new product experiences.Responsibilities • Building and scaling advanced ML/AI systems that power core Plaid products and applications used by millions of consumers., • Driving impact at scale by improving distributed training, serving, and ML operations to make Plaid’s AI capabilities faster, more reliable, and more widely available., • Developing new AI applications that enable innovative product experiences across fintech., • Tackling 0 to 1 problems where you explore new approaches, as well as scaling 1 to 10 systems for reliability and efficiency., • Collaborating with some of the strongest MLEs at Plaid in a high-ownership, bottom-up driven team., • 1-3 years of experience training, deploying, and scaling ML/AI models in production environments., • Strong experience with distributed systems and ML operations — from large-scale training to low-latency serving and monitoring., • Proficiency in Python and modern ML frameworks (e.g., PyTorch), with the ability to implement and optimize complex models., • Hands-on experience building or scaling ML/AI infrastructure, pipelines, or reusable platforms that support multiple teams., • Curiosity and drive to experiment with advanced AI techniques (e.g., embeddings, retrieval, generative modeling) while staying grounded in production impact., • Experience applying ML/AI in fintech or similarly regulated industries is a plus.

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. At Plaid, our Data team builds the intelligent systems that help millions of people better understand and improve their financial lives. We’re looking for Machine Learning Engineers who are passionate about applying advanced modeling and machine learning techniques—such as natural language processing, anomaly detection, optimization, and time series forecasting—to create meaningful product impact. As a Machine Learning Engineer within Plaid's Data organization, you will be responsible for designing, building, and scaling machine learning solutions that drive core product experiences. You will take the lead on initiatives to experiment with innovative modeling approaches, deploy production-ready systems, and work closely with engineers and data scientists to translate raw data into valuable insights. If you are passionate about advancing state-of-the-art ML to empower financial freedom for all, we encourage you to apply.Responsibilities • Hands-on develop, productionize, and operate Machine Learning models and pipelines to improve a diverse range of Plaid products., • Continuously proposing and developing new features to improve the AI/ML model performance., • Working with the ML infrastructure team to improve ML infrastructure that powers the end-to-end ML development lifecycle., • Debugging ML production issues and ensuring stable model serving., • Work collaboratively with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.Qualifications, • 8+ years of experience developing, training, and deploying ML models in production environments, • Proven experience building and maintaining data-intensive backend applications within large, distributed systems, • Strong programming skills in Python and familiarity with tools such as Spark, Jupyter, and standard ML libraries, • Background in fintech or other data-rich, regulated domains, • Demonstrated ability to take ownership and drive projects from concept to measurable business impact, • Solid understanding of data engineering and analytics concepts, • Skilled at collaborating across technical and non-technical teams, • Master’s degree (or equivalent experience) in Computer Science, Mathematics, Engineering, or a related field, • Nice to Have: Hands-on experience with data engineering or analytics tooling

Job Description Senior People Business Partner San Francisco Bay Area, CA l Reports to Director, Talent Management At Rothy’s, we know there’s a better way to do business, and it starts by putting the planet and its people first. More than 200 million single-use plastic bottles and 715,000 pounds of ocean-bound marine plastic have been transformed into our signature thread, creating wardrobe staples that look just as good as they feel. Striving for zero waste, we combine 3D knitting technology and handcrafted assembly to create machine washable styles that don’t compromise on comfort. From classic shoes to carry-everywhere bags, we create essentials for wherever you go. At Rothy’s, building a sustainable future is at the heart of everything we do. We pride ourselves on fostering an inclusive environment at our HQ, retail stores and wholly-owned factory, and are growing our community every day. About the Team: Together, the members of our People team make up the most well-versed employee directory you can imagine. From the moment a candidate is interested in working with us until the day they celebrate their first anniversary—and well beyond—this team is working behind the scenes to ensure everything is sailing smoothly. From benefits questions to employee engagement and building community, the People team are true Rothy’s champions. We are looking for an experienced and dynamic Senior People Partner to work in close partnership with leaders and employees across the company, including retail, our fastest growing department. The Senior People Business Partner will drive People strategy and create a compelling employee experience that enables our teams to deliver results. The ideal candidate will thrive flexing between providing strategic counsel to leaders and being hands on in delivering programs to employees at all levels. This role reports to the Director, Talent Management. What you’ll do: * Serve as a trusted advisor to Retail leadership and select corporate teams, collaborating to develop and execute talent strategies that align with business goals and foster an outstanding employee experience across the organization. * Provide strategic counsel on a wide range of people-related issues, navigating the unique nuances of both our dynamic retail environment and corporate functions, including performance management, employee relations, and organizational development * Support critical programs to support the employee experience, including onboarding, offboarding, employee engagement, and learning & development opportunities * Foster an optimistic and inclusive work culture that embodies our purpose to “Believe in possible” and empowers employees to thrive * Partner with the Talent Acquisition team on retail recruitment efforts and strategic hiring for corporate roles at all levels including resource planning, headcount management, interviewing and hiring * Address employee concerns and resolve conflicts in a timely and effective way and ensure compliance with all relevant employment laws and regulations * Provide direct support & guidance to employees and leaders across both retail and corporate teams, fostering their success in a fast-paced and evolving environment. * Collaborate with team members across People Operations, Talent Acquisition and Talent Management to execute programs and initiatives You are: * Caring, humble and curious; eager to be part of a purpose driven organization that prioritizes doing things the right way, not the easy way * Emotionally intelligent and able to build strong relationships and trust (both in person and virtually) with leaders and employees of diverse backgrounds and all levels * Motivated by challenges; You have an optimistic outlook, a bias for solutions and an energy for rolling up your sleeves and doing whatever needs to be done * Responsible and accountable with strong attention to detail and organization * An exceptional communicator in both written and verbal interactions; clear, concise, and courageous in giving tough but supportive feedback when needed * Data-driven decision maker & pragmatic problem solver who can find root causes of issues and gain leadership support to address them * Able to handle sensitive and confidential information with discretion You have: * 6+ years of experience in a People Business Partner role in a fast moving, dynamic retail company with a focus on supporting both hourly/distributed employee populations and corporate functions. * Strong analytical capabilities and an ability to influence managers/leaders with data-driven recommendations to improve performance, retention, and the employee experience * A true hands-on approach as well as the ability to successfully monitor the "pulse" of the employee experience to ensure a high level of engagement * Ability to navigate ambiguity, work collaboratively and be proactive in identifying opportunities and resolving issues * Ability to travel to Rothy’s retail locations Our benefits: * Generous paid time off * 401k matching * Comprehensive health plans for you and your family * Supplemental mental health benefits * Monthly wellness reimbursement * Dog friendly offices * Employee Discount Program! Compensation Range: $122K - $157K

Job DescriptionABOUT US MindsDB is a fast-growing AI startup headquartered in San Francisco, California. MindsDB is an AI Analytics solution that connects to diverse data sources and applications then unifies structured and unstructured data, at petabyte scale. Powered by an industry-first cognitive engine that can operate anywhere (on-prem, VPC, serverless), it empowers both humans and AI with highly informed decision-making capabilities. MindsDB was founded in 2017 by Adam Carrigan and Jorge Torres, inspired by Ian M. Banks's Culture series, in which super AI systems called Minds collaborate with other forms of life to accomplish incredible goals. Starting as an open source project, MindsDB now has both open source and enterprise AGI data solutions. The MindsDB community stretches across our GitHub with over 27,000 stars, nearly 800 contributors, and our Slack community of over 6,500 members from every corner of the globe and continues to grow every day. We are backed with over $55M in funding from Benchmark, Mayfield, YCombinator, and NVIDIA. MindsDB is also recognized by Forbes as one of America's most promising AI companies (2021) and by Gartner as a Cool Vendor for Data and AI (2022). THE ROLE Our organization is looking for an experienced Platform & Infrastructure Engineer to join our technology team. This position is ideal for a seasoned professional looking to make a significant contribution to both our company and the open source community. In this role, you will be responsible for designing and implementing complex backend services. We're looking for someone with not just backend programming experience, but designing them in an highly-scalable fashion, and can take a step back and look at the bigger picture as an architect and see how any individual service will play out on a larger scale and how it'll interact with other services. The successful candidate will be proficient in Python and have demonstrable experience designing, developing, and deploying scalable & highly available services. We expect you to have a deep understanding of performance, multi-threading, data modeling, and distributed systems. An intimate knowledge of distributed microservice architecture will be critical in this role, as the development and maintenance of these services will form a significant part of your responsibilities. A substantial part of your role will involve developing and maintaining services intended to be run in a Kubernetes environment. As such, knowledge and experience in Kubernetes and containerization are essential. The ideal individual will need to understand how to write robust, resilient applications that can effectively scale and respond to changing conditions in a cloud-based, containerized environment. They will have multiple experiences as such and be able to explain in detail the challenges they've had in this space before and how to navigate around them. In addition to technical skills we are seeking a candidate who thrives in a collaborative environment. Excellent communication skills are key as you will be expected to interface with various teams and individuals within the organization and potentially external partners, being able to translate business needs into effective technology solutions will be crucial. We are looking for someone who is driven and motivated and is able to carry projects both on their own and with others. If you are a passionate Python professional with a strong background in backend development, systems architecture, microservices, and Kubernetes, we would like to meet you. This role promises not only technical challenges but also the opportunity to shape the future direction of our technology stack and services. With MindsDB, you will have the chance to bring and expand your skills, face unique challenges, and make a real impact on our business and your future. We have a number of talented and experienced individuals in both the ML/AI space and in the high-scalability space, so there is room for professional growth and tutoring from your fellow staff as well as the opportunity to teach others. We are looking for a candidate currently based in one of the following timezones: Central Time (GMT-5), Mountain Time (GMT-6), Pacific Time (GMT-7), Alaska Time (GMT-8), Hawaii-Aleutian Standard Time (GMT-10). We are open to Hybrid working (in the Bay Area, SF) or Fully Remote. KEY RESPONSIBILITIES • Engineering new microservices from the ground up for specific purpose-fit solutions, • Modifying existing services to perform in a higher-scalability capacity. Experienced with various fan-out patterns, queueing systems, etc., • Migrating some services from a monolith to a scalable microservice pattern, • Devising solutions from a set of requirements, • Collaborating with team members or other industry professionals or partners about possible requirements, solutions, and deciding a path forward together, • Implementing that solution either on your own, or on larger projects with a team of engineers some which may be remote., • You may be asked to manage your project and any resources (engineers, testers, staff) assigned to your project, • Having shared responsibility for our suite of services, infrastructure, uptime, and quality of our product, • Contributing to an open-source project REQUIREMENTS • 5+ years of industry experience working with Python (or comparable experience), • 5+ years engineering backend/API/microservices (or comparable experience), • Knowledge of and experience with designing highly-scalable microservices, • Deep knowledge of Docker, containerization, Kubernetes/docker orchestration, • Experience working in a team-based environment, in an agile workflow, • Interest and desire to learn in all items mentioned in "Nice to have" below on the job NICE TO HAVE • Knowledge of and experience with Machine Learning / AI tools, technologies, concepts and frameworks, • Knowledge of Grafana, Prometheus, ElasticSearch/Kibana to assist with debugging, • Experience with kubectl, capable to debug services deployed into Kubernetes, • Experience with helm, capable to modify/improve/deploy services into Kubernetes, • Experience with our open-source library, MindsDB, • Experience working with Open-Source projects, ideally having contributed and/or authored code to various projects. Understanding what is necessary to successfully contribute, • Experience with Amazon Web Services (AWS) or Azure, • Experience with doing tracing and performance auditing and improvements to code and services BENEFITS & PERKS • Flexible Working Hours, • Remote or Hybrid Working, • Competitive Compensation, • Competitive Medical, Dental, Vision, Life Insurance (US), • 401k with up to 6% matching (US), • Unlimited PTO, • New Hire Remote Setup budget ($1500), • Lunch Provided Mon-Fri (US), • Internet Budget ($25/month) (US), • Commuter Budget ($1200/year) (US), • Learning & Development budget, • Wellbeing Budget ($1200/year), • International in-person company retreats, • Wellbeing/Mental Health leave DIVERSITY, EQUALITY & INCLUSION MindsDB is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. MindsDB will give all qualified applicants consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. Salary Range$100,000—$150,000 USD

Job DescriptionWho We Are Baton is Ryder's in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. With $10B in freight under management, our technology reaches every part of the U.S. economy. We design and ship category-defining software that enables Ryder and its 50,000+ customers—including some of the world's most well-known brands—to plan and execute freight intelligently, efficiently, and cost-effectively. Our work includes everything from customer-facing software to the data platform that will power the next era of innovation at Ryder. Baton's mission: enable supply chain on autopilot. Ryder acquired Baton in 2022 to power its next wave of digital products. We operate at startup speed, with Fortune 500 reach. If you have a passion for solving complex problems and creating impact for the engine of the American economy, you'll love it here. Role: Senior Software Engineer - Infrastructure Team: Machine Learning Pod Location: Hayes Valley, San Francisco, CA Basic Job Details Job Type: Full Time Work Model: Hybrid Remote Days: Monday & Friday Office Days: Tuesday, Wednesday, Thursday Job Description As a Senior Software Engineer within our Machine Learning Team, you will tackle complex challenges in distributed systems and ML operations to enhance our machine learning infrastructure. You'll build scalable ML infrastructure from the ground up - supporting model deployment, distributed training, real-time inference, and more. You'll be a key partner to the Data Science team, helping bring value to production quickly and reliably. This role requires a blend of advanced Python programming skills within production environments and expertise in distributed computing. Responsibilities • Own Core ML Infrastructure:, • Build and scale distributed systems for ML training, serving, and inference., • Design and implement real-time ML workflows that power core product features., • Implementation of Distributed Systems:, • Build robust distributed systems tailored for efficient ML training and seamless operational deployment., • Feature Engineering Enhancement:, • Streamline and manage both online and offline feature stores, optimizing feature engineering processes for greater efficiency., • Real-Time ML Workflow Enhancement:, • Improve real-time machine learning workflows to support dynamic decision-making and automate core operational processes., • Platform Level Ownership:, • Lead the development of ML Ops systems, including model deployment, monitoring, and experiment tracking., • Architect and manage scalable feature stores for online and offline usage., • AI-Driven Optimization:, • Contribute to agentic AI systems for freight matching, ETA prediction, and load scheduling., • Support systems that improve Stop Estimation Accuracy and Cross-Mode Optimization., • Production Ready Engineering:, • Write production-grade Python that operates at scale, with reliability and performance top of mind., • Collaborate across engineering and data science to turn models into resilient software systems.Required Qualifications, • Production Python Expertise:, • Advanced Python proficiency in large-scale production environments., • Distributed Systems Expertise:, • Experience building scalable backend or ML infrastructure using distributed computing techniques., • Strong background in AWS and cloud-native data/compute services., • Machine Learning Operations:, • Hands-on experience with distributed training pipelines, model serving, and monitoring., • Deep familiarity with SQL (OLTP & OLAP), feature engineering, and caching patterns.Preferred Qualifications, • 5 to 8 years of backend or ML infrastructure experience., • Proven track record building production ML workflows at scale., • Experience in industry logistics, transportation, or freight is a bonus.The Perks, • Competitive Base Salary, • Long Term Cash Incentive Plans, • Annual Company Bonus, • 401k with Matching, • Hybrid Work Schedule, • Comprehensive Health Coverage, • Hyper-Stable, publicly traded Enterprise, • Employee Stock Purchase Program (15% discount to market value) Compensation will vary based on factors including skill level, transferable knowledge, and experience. Note that the above is not the representation of total compensation, which includes our LTI Package as well. In addition to base salary, Baton's full-time employees are eligible for an annual company performance bonuses. Why You Should Join • Have an immediate impact:, • With Ryder's existing customer base of 50,000+ companies and an internal headcount of 43,000, the scale and impact of our products will be large and far-reaching, from day one., • Opportunity to grow and lead in a Fortune 500 company:, • You'll get to work in a rapidly growing, startup-like environment while having the stability and backing of Ryder and its full executive team., • Creative, fast-paced environment to solve impactful problems in Supply Chain:, • We're going to design completely new tools for an industry that hasn't been rethought in decades. And to do this, we need people who think differently.

Job Description About Us At Eluvio (), we’re tackling one of the Internet’s biggest challenges: video. Our Content Fabric is a decentralized platform reimagining how premium media is delivered, processed, and monetized. Unlike traditional cloud and CDN workflows, it enables real-time routing, just-in-time transcoding, personalized playback, and secure ledger-based rights management — all inline with the video stream itself. Global leaders in entertainment and sports — including Amazon Studios/MGM, Sony, Warner Bros., NBA, UEFA, and WWE — use Eluvio to deliver richer, faster, and more efficient experiences. Recognized with awards from NAB, SEICON, and HPA, and protected by 15+ US patents, Eluvio is building the infrastructure for the future of Internet video. Our Team We’re led by the founders of Aspera — an Emmy Award–winning technology company acquired by IBM — and joined by engineers and leaders who have built, scaled, and successfully exited multiple other startups. Our headquarters are in Berkeley, CA, near the UC Berkeley campus, and we’re proud alumni of the UC Berkeley Blockchain Xcelerator. The Role We’re looking for exceptional new graduates who are ready to jump in as full-time Software Engineers. If you have a strong academic background, solid fundamentals, and a hunger to learn and make an impact, we want to hear from you. BSc is required; MSc or PhD is a plus. Depending on your skills and interests, you’ll join one of three areas: • Core Systems – Work with Go, Rust, and C/C++, WebAssembly on backend systems, and our full video/audio transcoding, packaging, and processing stack (ffmpeg fork). You’ll also be able to contribute to our decentralized content routing and storage protocol., • Applications & Frontend – Build experiences across backend, web, mobile, and TV. Our stack includes Go, JavaScript, Typescript, WebAssembly, Swift (iOS/tvOS), and Kotlin (Android/GoogleTV). You’ll help shape streaming, download, and viewing products used by a wide audience., • AI/ML – Develop and apply models for content description, summarization, search, retrieval, and personalization. Our work spans LLMs, VLMs, RAG, reinforcement learning, optimization, and data science. Our main office is located in Berkeley, CA and we prefer collaborating in-person, with lots of flexibility around exact hours. Requirements • Education: BSc in EECS or related field (MSc/PhD encouraged), • Proven ability: Excellence shown through coursework, internships, research, or open-source contributions, • Core fundamentals: Strong grounding in algorithms, concurrency, networking, security, and/or machine learning; research experience in new problem areas a plus By Track • Core Systems: Proficiency in Go, Rust, and/or C/C++; experience with testing; knowledge of video codecs (H.264, H.265, AV1) and/or WebRTC a plus, • Applications: JavaScript/React and full-stack development; experience with mobile (iOS/Android) or TV apps a plus, • AI/ML: Python and ML/DL frameworks (PyTorch, TensorFlow, scikit-learn); familiarity with Transformers, RAG, LoRA, CV/NLP Soft Skills • Clear and collaborative communicator, • Detail-oriented but able to move fast, • Creative problem solver with a team-first mindset Nice to Have • Core: Applied cryptography (e.g., SEC 256, proxy re-encryption, threshold ciphers), media standards (HLS/DASH, H.264, H.265, AV1, WebRTC), ffmpeg, and JavaScript-based media players, • AI/ML: Experience building fine-tuned or multi-stage ML pipelines, including advanced techniques (LoRA, mixture-of-experts, advanced RAG, statistical optimization) Benefits • Market competitive salary, • Employee stock option program, • Medical, Dental, Vision, 401K with match, • Culture: We celebrate our accomplishments with two major parties a year, have occasional events to coincide with adjacent SF conferences, and we have a warm and casual working environment. Lunch is provided every day!, • Industry Interaction: We publish in our field, give talks, attend/present at product conferences, and interface with our customers regularly. A bunch of the team attend the international and national broadcaster's conferences every year, IBC (Amsterdam) and NAB (Las Vegas), and media conferences such as SXSW, which are all a blast.

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role: As a core member of the Crusoe Managed AI Services team, you will own the complete product lifecycle for our Managed Inference offerings, from initial concept and strategic roadmap to successful execution and market adoption. You will be the champion for our inference service offerings, translating market needs and technical complexities into clear product specifications, compelling narratives, and strategic decisions that drive business growth for Crusoe Cloud. This is a unique opportunity to build and lead a critical product area within a rapidly expanding and innovative company. What You'll Be Working On: * 8+ years of experience in technical product management or engineering with product responsibilities, ideally within AI/ML infrastructure or developer platforms. * Proven track record of building and launching scalable AI services or features used in production environments. * Strong understanding of cloud infrastructure (e.g., AWS, GCP, Azure) and modern compute architectures. * Familiarity with the full machine learning model lifecycle — from experimentation to deployment and monitoring. * Excellent communication and collaboration skills, including experience influencing cross-functional stakeholders and execs. * Highly proactive and self-directed, with strong product judgment and a bias for action. * Bachelor’s degree in Computer Science or a related technical field (or equivalent experience). What You'll Bring to the Team: * 8+ years of experience in product management, with at least 3 years in a senior or group product management role, specifically focused on cloud storage (Block, File, Object) or related cloud infrastructure. * A proven track record of successfully launching and managing B2B technical products from concept to market. * Strong technical understanding of cloud storage architectures, including various storage types (Block, File, Object), data management, and integration with broader cloud infrastructure. * Exceptional communication skills, with the ability to articulate complex technical concepts to a variety of audiences, including executives and technical teams. * The ability to thrive in a fast-paced, high-growth startup environment, demonstrating strong leadership and strategic thinking. * Experience working with cross-functional teams and managing diverse stakeholder needs, including vendor management. Bonus Points * Experience building developer-centric platforms or services that simplify ML model development, deployment, or observability * Active participation in developer communities or open-source ML projects * Strong perspective on trends in AI infrastructure and inference-as-a-service Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300/month Compensation Range Compensation will be paid in the range of up to $233,000 -$282,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s newest fraud detection products, leveraging the breadth of Plaid’s network data to stop fraud before it occurs. We manage the full lifecycle of these systems—from feature pipeline development and model training to deployment, serving, and monitoring—ensuring our solutions scale reliably as we grow to support hundreds of customers. As a Data Scientist on Plaid’s Fraud Data team, you will analyze customer and network traffic to understand how Protect performs across different segments and use cases. You’ll build dashboards and performance metrics that create a clear, shared view of product health for both the team and our go-to-market partners. You will run backtests on customer traffic to evaluate model and rule performance, uncover high-value opportunities, and generate insights that support sales motions and customer expansion. You’ll also design the underlying data models and schemas that enable efficient, reliable analysis and reporting. In close partnership with Product and Engineering, you will help design and evaluate experiments that shape new customer-facing features and inform the future of our fraud products. Responsibilities • Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements., • Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making., • Analyze complex datasets to uncover clear, actionable insights that shape product direction., • Partner with go-to-market teams to demonstrate the technical and business value of our products to customers.Qualifications, • 3–5 years of total experience, including at least 2–3 years working deeply with product analytics, experimentation, or data-driven products., • Strong proficiency in SQL and Python., • Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies., • Skilled in designing, building, and maintaining dashboards and core product performance metrics., • Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems., • Excellent communicator with strong stakeholder-management skills across diverse teams., • Background in fraud or risk domains — Nice to have., • Familiarity with data-insights products and a solid understanding of model-performance metrics — Nice to have.

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Role: We're hiring a Principal Engineer to serve as the Lead Architect for Data Systems, overseeing the architecture, operations, and performance of our foundational database infrastructure. This high-leverage role works in partnership with the other Principal Engineer roles to establish industry-leading standards for reliability and cost-efficiency. The role reports to the Senior Director of Technical Infrastructure. We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.In this role, you will: • Database Architecture & Scaling: Lead the architectural plan for scaling and evolving our core database systems (Cloud Spanner, PlanetScale MySQL, and BigQuery). This includes driving critical decisions on sharding, data topology evolution, and global data distribution strategies, • Deep Performance Optimization: Act as the organization's primary Subject Matter Expert (SME) for data performance. You will actively guide teams on everything from high-level schema design and query optimization to low-level deep-dive analysis (e.g., "why is my query slow?") across all three database systems, • Technical Leadership & Influence: Lead, mentor, and guide the team of SRE/Platform engineers focused on database systems. You will also partner closely with product engineering, data engineering, and AI/ML teams to influence schema design, operational excellence, and ensure the database layer supports their requirements, • Data Lifecycle & Operational Excellence: Own the resilience of the data tier, including the definition and implementation of comprehensive backup, recovery, and business continuity strategies. Regularly audit and test these mechanisms to ensure high availability for critical data storage, • Reliability Engineering & Availability (The Core Mandate): Architect and implement solutions to meet and maintain an internal 99.99% availability target for critical data access, supporting the overall platform's 99.95% SLO. This includes designing connection management, capacity planning, and automation to handle peak load and ensure data consistency, • Cost Efficiency & Governance: Act as the technical owner for data-related cost optimization. Balance performance and reliability needs while implementing strategies for efficient storage, indexing, and throughput to minimize expenditureWhat you bring to the table:, • Distributed Database Expertise: Deep, hands-on experience architecting and operating globally distributed transactional systems. Expert knowledge of Cloud Spanner internals, advanced MySQL sharding and scaling (e.g., PlanetScale), and production optimization under heavy load, • Analytical Data Systems: Deep experience with large-scale analytical data warehousing (BigQuery) and designing resilient data ingestion/ELT plumbing, • Architectural Influence: Proven ability to define global data strategies and drive cross-functional change, effectively partnering with product engineering and data science teams to guide schema design and data access patterns, • Scale and Operational Discipline: A history of leading the design and implementation of highly available data systems (targeting four-nines or higher), with proven experience in operational fundamentals like backup, recovery, and data integrity assurance, • Cloud Architecture: Extensive experience in designing and optimizing large-scale cloud-native architecture on GCP (or equivalent), including database networking, security policies, and cost governanceCompensation, Benefits & Perks:, • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $276,000 - $320,000, depending on location and experience, as well as company stock options, • Collaborate with your manager and team to create a healthy work-life balance, • 20 vacation days that we expect you to take!, • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice), • Employer-sponsored 401k plan with company match, • Access to LinkedIn Learning and other resources to support professional growth, • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-FT We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. * Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. * Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. * Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. * Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. * Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. * Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. * Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications * Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. * Excellent written and verbal communication; proactive and collaborative mindset. * Comfortable in hybrid or distributed environments with strong ownership and accountability. * A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. * Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience * 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. * Expert SQL (query optimization on large datasets) and Python skills. * Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). * Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. * Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). * Bonus: Strong Node.js skills for faster onboarding and system integration. * Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. To transform the way millions of users explore, interact with, and participate in live events worldwide, StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. To ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive workplace. As a Senior Software Engineer, you will also serve as an advocate and mentor for your team members, demonstrating leadership qualities and setting an example for those around you. Location: Hybrid (3 days in office/2 days remote) About the team: Our Audience Intelligence crew is a band of data-obsessed engineers, ML specialists, and product thinkers who refuse to settle for fragmented customer signals. We're architecting the unified identity graph and feature platform that gives every team at StubHub a near-real time, 360°ree; view of each fan. That way decisions are powered by facts, not hunches. In short, we turn noisy clickstreams into high-fidelity fuel for personalization at scale. The challenge we're cracking: today, user data is scattered across devices, sessions, and tables. We're building the pipelines, identity resolution, and enrichment layers that stitch it all together, update it in near-real time, and expose it as clean, versioned features any model or campaign can trust. When we're done, marketing tech, ranking, and experimentation teams will target with surgical precision instead of a one size fits all experience. Because a message for everyone is a message for no one. What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 5-6+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (e.g., Java, C#), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineersWhat We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job DescriptionAs an Account Executive on the commercial team, you will be responsible for driving new business, specifically within mid-market enterprises, building upon Windfall’s impressive list of customer logos across financial services, travel, hospitality, retail, and other consumer businesses. Each deal will be approached with care, using a custom methodology that is complex and consultative in nature. We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.Responsibilities: • Research prospective customers and execute strategic outreach into ideal accounts, • Build pipeline through outbound prospecting, attending trade shows, and leveraging online platforms to identify and engage potential clients, • Use consultative selling techniques to offer a unique perspective on each customer’s business; understand pain points across industries, and sell solutions, • Collaborate cross-functionally with Solutions Engineering, Revenue Operations, and Sales leadership to ensure the ideal customer solution with the Windfall platform, • Independently build presentation decks and conduct prospective customer research to present at the executive level with polish, poise, and confidence, • Diligently manage pipeline to ensure quota attainment on a consistent basis, • Negotiate, structure, price, and efficiently close dealsRequirements:, • Bachelor’s degree, • Minimum of 3 years at the Account Executive level, with consultative technology sales experience with a verified track record of exceeding quota, • Extensive understanding of data and its many applications/use cases, • Ambitious, driven, and detail-oriented, with an ability to manage time effectively, • Strong written and verbal communication skills, • Must be able to remain focused in the face of many competing interests, • Extensive experience with outbound prospecting, cultivating and multi-threading accounts, and building a robust pipeline, • Extensive experience with sales tools - Salesforce, Outreach/Groove, LinkedIn, ZoomInfo, etc.Preferred Qualifications:, • Bachelor's degree from a top-tier university, • Experience selling in a high-growth startup environment, • Solid understanding of the data businesses, paid marketing, and data analytics, • Understanding of the digital marketing, adtech, and martech ecosystems - specifically as it relates to its various social & digital channels (Google, FB, Linkedin, etc.)

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Role We’re hiring a Staff Platform Engineer – Database Systems to be a core member of our Platform Engineering team. You’ll contribute across the full infrastructure stack while bringing deep expertise in database systems, performance optimization, and data reliability. This role reports to the Senior Director of Technical Infrastructure. We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday, and as needed by your manager or the company.In this role, you will • Platform Reliability & System Resilience: Develop, test, and implement infrastructure automation and tooling to maintain 99.95% availability under peak load. Build self-healing capabilities, optimize resource utilization across Kubernetes clusters (GKE), and contribute to platform-wide resilience initiatives., • Database Performance & Operations: Serve as the team’s database expert, diagnosing and resolving performance issues across Cloud Spanner, PlanetScale MySQL, and BigQuery. Conduct query analysis, implement indexing strategies, and optimize connection pooling to maintain sub-100ms p99 latency., • Caching & Data Access Layer: Design and implement caching strategies using Memorystore (Redis/Memcached). Build high-volume connection management systems (in Go or Python) that efficiently handle database and cache access patterns under sustained load., • Infrastructure as Code & Automation: Manage platform infrastructure using Terraform and Kubernetes. Build automation that improves developer velocity, reduces MTTR, and enables safe, self-service infrastructure operations., • Observability & Operational Excellence: Design and deploy instrumentation within Datadog for monitoring databases, caches, and platform services. Use post-incident analyses (e.g., Jeli) to reduce operational toil and improve service reliability., • Architectural Consulting & Standards: Partner with Product Engineering teams to review designs, define SLOs, optimize data access patterns, and ensure new services are resilient and operable before production deployment.What you bring to the table, • Strong software engineering foundation — you write production-quality code, design scalable systems, and can reason about distributed systems tradeoffs., • 5–8 years of hands-on database engineering experience in production environments handling significant scale (thousands of RPS or more)., • Deep MySQL expertise (replication, sharding, query optimization, connection management); PlanetScale experience a plus., • Multi-database proficiency with Cloud Spanner, Postgres, and/or BigQuery., • Production experience with in-memory caches (Redis, Memcached, or Valkey)., • Kubernetes (GKE preferred) and Terraform experience for infrastructure as code., • Strong coding skills in Python or Go for automation, tooling, and platform services., • Hands-on experience with GCP database services (Cloud Spanner, Cloud SQL, Memorystore, BigQuery) and monitoring platforms like Datadog., • Strong understanding of backup/recovery, HA patterns, and incident response.Bonus points if you have:, • Experience with Vitess or PlanetScale MySQL., • Knowledge of Istio service mesh and database connection management patterns., • Experience with data streaming platforms (Kafka, Pub/Sub).Compensation, Benefits & Perks, • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps., • Total compensation for this role is market competitive, including a starting base salary of $220,700 – $268,100, depending on location and experience, as well as company stock options., • Collaborate with your manager and team to create a healthy work-life balance, • 20 vacation days that we expect you to take!, • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice), • Employer-sponsored 401(k) plan with company match, • Access to LinkedIn Learning and other resources to support professional growth, • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-FT We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Us We are Sila, a next-generation battery materials company. Our mission is to power the world's transition to clean energy. To create this future, our team is building a better lithium-ion battery from the inside out today. We engineer and manufacture ground-breaking battery materials that significantly increase the energy density of batteries, while reducing their size and weight. The result? Smaller more powerful batteries that can unlock innovation in consumer devices and accelerate the mass adoption of electric cars to eliminate our dependence on fossil fuels. We're tackling one of the biggest challenges of our time every day, and together we're redefining what's possible. Are you ready to be a part of a team committed to changing the world? Who You Are As an Electrical Engineer on the Capital Projects Team, you will contribute to the development, implementation and scaling of a first of its kind commercial-scale battery material manufacturing facility. You are a highly motivated, creative, detailed technical contributor with an aptitude for learning new things and developing big, complex, materials processing equipment. In your work at Sila, you will architect, specify, design, and deploy industrial electrical systems that are safe, reliable, expandable, deterministic, and exceptionally well-documented. You have excellent communication skills to harmoniously collaborate with a wide range of skill sets: from scientists to technicians during the design stage, to out-of-house service providers across big, complicated interfaces during the build stage. Responsibilities and Duties • Serve as the technical expert for the facility electrical distribution system to support the design and implementation of the planned facility scale-up, • Work collaboratively with other teams to design robust, modular, and well documented machine electrical subsystems for production-scale equipment and components, • Manage and serve as the primary technical liaison for all electrical engineering design work performed by third-party contractors, • Review single line schematics and electrical schematics for all equipment and components, • Develop electrical schematics for custom Sila electrical panels, • Conduct and/or review arc flash analyses, • Develop detailed RFP and equipment specifications, assist with vendor selection, and manage technical aspects of the procurement process for electrical hardware, • Analyze vendor proposals, specifications, data sheets, drawings, and calculations to ensure strict adherence to project scope, contract requirements, applicable standards, and company engineering practices, • Create electrical engineering and construction work packages for site installation, • Maintain plant wide load list and work with the balance of plant team to ensure seamless integration, • Provide cost estimation support for electrical design and construction, • Provide technical support during the equipment fabrication, installation/construction, unit startup and commissioning phases, • Create and maintain comprehensive electrical schematics, wiring diagrams, panel layouts, cable schedules, and bills of materials (BOMs)., • Lead the development, implementation, and maintenance of comprehensive company standards, specifications, and design guidelines for all facility electrical infrastructure and systems.Knowledge and Skill Requirements, • Proficiency in designing industrial electrical power systems, • Electronics and wiring knowledge (analog signals, AC and DC power fundamentals, control wiring, and diagnostic tools), • Experience generating electrical schematics, including wiring diagrams, network architecture, control panel design, and power distribution, including AutoCAD Electrical and ETAP experience, • Extensive experience with electric power system design, studies, and protective relay applications, • Experience with cable sizing and specifying cable tray and conduit routing layouts, • Experience designing, analyzing and implementing robust ground and shielding schemes, • Expert in NFPA 70 (National Electrical Code) and 79 (Industrial Machinery Safety), UL508A, • Support NFPA 86 design review process, especially electrical design for electric heaters, • Design for high power systems (electrical heaters, compressors, pumps, etc), • Design for electrical in hazardous areas, • Develop FAT/SAT plans for electrical panels, • Familiarity with standards for emergency and stationary power (UL2200, NFPA 110, NFPA 111), • Excellent verbal and written communication skills, with the ability to clearly articulate technical concepts to both highly technical and non-technical stakeholders., • B.S. or M.S. in Electrical Engineering is required., • 8+ years of industry experience is required., • Professional Engineer license is a nice-to-havePhysical Demands and Working Conditions, • Pass a respirator fit test and be able to wear respiratory protection on a daily basis, • Wear personal protective equipment including, but not limited to, a lab coat, gloves, safety glasses, and steel toe safety shoes, • Move long distances (such as from building to building) and be stationary for extended periods of time, • Reach low shelves or items on the floor, • Enter spaces narrower than 3 feet, • Climb stairs or over containment walls, • Operate a computer and other office equipment, such as a laptop, copier/printer, etc in a fixed location, • Up to 25% travel (potential for higher during critical construction and start-up activities) to and from build sites and contractors' design offices The starting base pay for this role is between $172,000 and $215,000 at the time of posting. The actual base pay depends on many factors, such as education, experience, and skills. Base pay is only one part of Sila's competitive Total Rewards package that can include benefits, perks, equity, and bonuses. The base pay range is subject to change and may be modified in the future. #LI-MY1 #LI-Onsite Working at Sila We believe that building a diverse team at Sila helps us amplify our individual talents. We are an equal opportunity employer and committed to creating an inclusive environment where good ideas are free to come from anyone. We are proud to celebrate diversity and all qualified applicants are considered for employment without regard to gender, race, sexual orientation, religion, age, disability, national origin, or any other status protected by law.

Job DescriptionAs a Senior Backend Engineer on our Modeling team at Windfall, you will be the architect and builder of the core infrastructure that powers our machine learning and AI initiatives. You will work in a high-impact role alongside three data scientists, taking ownership of the systems that build, train, and deploy our models. This role requires a high degree of autonomy and technical ownership. You will have the independence to personally design and build a scalable MLOps platform capable of supporting Windfall’s next phase of growth.What you will do: • Architect and lead the development of distributed services and infrastructure to support the entire machine learning/modeling lifecycle., • Design and implement robust data pipelines for feature engineering and model training using tools like Airflow and Dataflow, • Develop and maintain systems for deploying, serving, and monitoring ML models in production., • Work closely with data scientists to translate modeling needs into robust, scalable engineering solutions., • Drive technical design, specifications, and implementation for our backend modeling services.Some technologies you will use:, • Cloud platform: GCP, • Programming language: Python, • Orchestration: Airflow, • Data warehouse & databases: Postgres, BigQuery, • Containerization: Kubernetes & Docker, • Messaging system: Google PubSubRequirements:, • 5+ years of professional backend software engineering experience., • Expert object-oriented programming understanding in Python, • Experience building distributed systems, particularly for MLOps or data processing workflows., • Experience building and maintaining CI/CD pipelines, especially for ML models., • You are an excellent communicator who can simplify complex problems and work collaboratively.

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid’s Data team is building models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art machine learning and modeling techniques -- including natural language processing, anomaly detection, optimization, and time series forecasting -- toward different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork You’ll be a data scientist-machine learning as a part of the Data org, contributing to diverse, high-impact data insights and machine learning challenges. Specifically, you will focus on driving business impact, and production directions through data analysis and potentially help evaluate and improve ML solutions and systems. If you're interested in building state-of-the-art Data/ML solutions to unblock financial freedom for everyone, let's chat! If you’re excited about building state-of-the-art data and machine learning solutions that help unlock financial freedom for everyone, we’d love to hear from you!Responsibilities • Applying your expertise in quantitative analysis, data mining, and data visualization to build models and insights, • Identifying useful signals that can be fed into machine learning models, • Informing and influencing product and engineering teams through your data analysis and presentations, • Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid, • Championing a data-first approach toward decision-making across the entire organizationQualifications, • 1-4 years years of industry experience in a financial services Data Science role, • Deep familiarity with SQL and python, • Experiencing constructing models in a regulated industry, • Familiarity with the AWS stack, • Understanding of modern machine learning techniques, such as classification, clustering, optimization, and natural language processing, • Proven ability to tailor your solutions to business problems in a cross-functional team, • Ability to code and iterate independently in Python to conduct exploratory data analysis

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Role overview: We are seeking an exceptional Research Scientist to join our team, focusing on developing cutting-edge diffusion models for text-to-video generation. In this role, you will be at the forefront of innovation, creating novel architectures and algorithms that transform written descriptions into stunning, coherent video content. Key responsibilities: * Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity * Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content * Design and conduct rigorous experiments to validate new ideas and evaluate model performance * Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline * Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences * Contribute to the research community through high-quality publications and open-source contributions * Mentor junior researchers and foster a culture of innovation within the research team * Work closely with product teams to align research directions with user needs and market opportunities Qualifications: * Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field * Must have: * Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models * Extensive experience implementing and optimizing large-scale generative models for image or video tasks * Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation * Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow * Excellent communication skills with the ability to explain complex technical concepts to diverse audiences * Proven ability to work collaboratively in a team environment * Ideal candidate will have: * Postdoctoral or industrial research experience in generative AI for video * Hands-on experience with text-to-video generation projects * Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video * Experience working with large-scale datasets and distributed computing environments * Track record of successful collaboration with product teams on technology transfers * Familiarity with video codecs, compression techniques, and perceptual quality metrics * Contributions to open-source projects in the field of generative AI Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job Description Mochi Health's mission is to be the discovery layer of healthcare. We are building a platform that makes it easier for patients to find the right providers, access the right medications, and take control of their health with transparency and trust. Over the past few years, we have experienced rapid growth by combining operational excellence, clinical expertise, and innovative technology to deliver care that is more human, intuitive, and effective. From pharmacy pricing transparency and personalized medication management, to long-term medical record access and community-based chronic illness support, Mochi is creating a new model of care that empowers patients, providers, and pharmacies alike. We believe the future of healthcare is personal, and we are building the technology to power it. At Mochi Health, you will join a team that values inclusivity, collaboration, and bold thinking, and you will have the opportunity to do the most meaningful work of your career. $250,000 - $300,000 Full-time / Onsite (5 days/week) About The Role As a Staff Backend Engineer at Mochi Health, you'll be responsible for the core systems and data channels that facilitate a world-class experience for our customers, pharmacy technicians and many more team members who interface with our proprietary platform each and every day. You will work with talented engineers, building out cutting-edge systems from Machine Learning path finding algorithms to hand-crafted video encoding protocols, all in service of providing deeper capabilities and insights to the customer experience. Take advantage of developments in artificial intelligence to bring innovative and exciting new features to our customers. These are just a few of the intriguing challenges you might be faced with at Mochi Health. What You'll Do • Lead the development, optimization and expansion of our core backend services. (Typescript/Python), • Drive best practices in performance, security, and scalability as we scale rapidly over the next 6/12 months., • Collaborate closely with Product, Design and Frontend teams to deliver seamless, intuitive user experiences., • Own key architectural decisions, mentoring engineers, and elevating back-end excellence across the company., • Build out data-driven services and systems to bolster the customer experience., • Influence engineering culture, fostering innovation and technical ownership within the team.Who You Are, • Startup mindset: you thrive in fast-moving environments, take ownership, and love solving problems at scale., • 7+ years of back-end development experience, with deep expertise with Typescript/Python., • Experience leading technical initiatives and shipping scalable, high-performance systems to support web and mobile applications., • Strong knowledge of modern back-end tooling. (ESLint, CI/CD pipelines), • Fluent in bash scripting and linux/unix commands, • A passion for creating fast, optimised and elegant solutions to difficult problems., • Expertise with AI code generation tools 🥗 Daily Meals and Espresso Bar - Breakfast, lunch, and dinner every weekday. Our on-site barista keeps the espresso and matcha flowing all day 💰 Pre-Tax Commuter Perks - Save on transit and parking through pre-tax commuter benefits 💸 Top-of-Market Compensation - We offer competitive salaries along with generous equity packages so you can share in the success you help create 💣 Profitable and Rapid Growth - We're scaling fast, with financial discipline and long-term vision. No VC constraints, just sustainable momentum and smart decisions 🚀 High-Impact Work - Help shape the future of digital healthcare. Your work here directly improves lives and scales nationwide 👩️‍💻 World-Class Team - Collaborate with teammates from Tesla, SpaceX, Citadel, Harvard, IIT, and more. We value excellence, humility, and empathy in equal measure ✨ Comprehensive Benefits - 401(k) with match, generous time off, life insurance, and high-quality medical, dental, and vision plans 💊 Mochi Health Membership – We cover your monthly subscription fee so you can experience the same care as our patients (medications not included) 🌴 Time to Recharge – Enjoy unlimited PTO, generous company holidays, and true flexibility. We trust you to take the time you need to rest, reset, and thrive 🧘 Wellness First – From weekly mindfulness sessions to group workouts and fitness perks, your physical and mental health are top priority 🎉 Team Socials and Community - We make time to connect through regular socials, happy hours, and spontaneous events. Our stocked kitchen doesn't hurt either 📍 Downtown SF HQ - Our San Francisco office is just steps from BART, Muni, and great food. It's designed for deep work and casual collaboration -- The base salary for this full-time position ranges from $250,000 to $300,000, in addition to equity and benefits. The salary range listed in each job posting represents the minimum and maximum targets for new hire salaries across all locations. Actual compensation within this range is determined by various factors, such as job-related skills, experience, relevant education or training, and location. #LI-Onsite #LI-AK1 Workplace Policy Mochi Health is an in-person company based in San Francisco, CA. Our team works together in person five days a week to foster collaboration, innovation, and strong connections. We believe that face-to-face interaction builds a culture of excellence and allows us to deliver the best outcomes for the patients and providers we serve. For office-based roles, the standard schedule is Monday through Friday, 9:00 a.m. to 7:00 p.m. Actual hours may vary depending on business needs and role responsibilities. All employees receive meal and rest breaks in accordance with applicable state and local laws. For designated remote roles, this in-person policy does not apply. Equal Opportunity Mochi Health is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring. Candidate Privacy Notice Please review Mochi Health's Candidate Privacy Notice here. Accommodations Mochi Health complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law. If you need any assistance or accommodations due to a disability, please contact us at .

Job Description Eluvio is a highly focused and expert team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security specialists working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through state-of-the-art real-time content routing, just-in-time code execution, and inline frame accurate multi-modal content AI. We are headquartered in Berkeley, CA. Our technology supports ground breaking content distribution and monetization driven by data, and we have formed Eluvio AI Labs to pursue the frontiers of innovation for Content AI. We are hiring for a Senior AI Scientist to lead the effort on foundation (Video/Text/Images - multimodal) ML/AI models. This role will work on cutting edge multimodal and video AI/ML research and development, and support the integration of the models into the product stack. Typical use-cases include (not limited to) - video understanding and generation, multi modal search and recommendation, content processing optimization, scalable routing, pricing advertising, audience analysis. Job Duties • Research and develop advanced Video foundation models on topics like, video understanding and generation, multi modal search and recommendation, content processing optimization, scalable routing, pricing advertising, audience analysis., • Develop production-grade ML models and integrate into the Eluvio AI stack., • Masters or PhD in Computer Science or related fields (ECE / Statistics / Math / Physics)., • Minimum 3 years (post PhD) or 5 years (post MS) of working experience as a machine learning engineer., • Demonstrated ability to build, verify, and deploy state-of-the-art task-specific ML models., • Deep knowledge of machine/deep learning algorithms (e.g., Transformer/VLM/LLM, CNNs, residual networks, GAN, clustering, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Scikit-learn, Jax)., • Excellent experience in deployment of machine learning models in production environments, particularly in video/media-focused applications., • Excellent communication skills and ability to collaborate effectively within interdisciplinary teams, managing priorities, and delivering high-quality results in a fast-paced environment., • Strong technical expertise in system design and software development. Proficiency in both high-level languages (e.g. Python, JavaScript, Bash) and system programming languages (e.g., C/C++/Go/Rust)., • Demonstrated knowledge in API design and implementation for model inference services, ensuring scalable, reliable, and efficient integration of machine learning models into production systems. Medical, dental, and vision insurance. Employee stock equity program Opportunity to work in the leading company in Decentralized Content AI, Distribution, and Monetization with an amazing team of experts and to impact the world with your innovation.

Job DescriptionAbout Our Team Chef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world. As the rise of LLMs like ChatGPT has shown, AI has the potential to drive immense change. However, we believe AI’s biggest impact will be in the physical world, given industries like manufacturing, food, and transportation represent 90% of global GDP. We're starting with food, with a goal to put an intelligent robot in every commercial kitchen in the world. We have signed multiple multi-year contracts with various large food companies and we are growing fast. We're backed by investors like Kleiner Perkins, Construct, Bloomberg BETA and Promus Ventures. We have a great team, where you will be surrounded by talented engineers and tech leaders from companies like Cruise, Zoox, Google, Verb Surgical, Tesla, Nuro, Vicarious, Amazon Robotics, Strateos, Built Robotics, Facebook, Plenty, Yelp, and Microsoft. About the Role As a Senior Robotics Software Engineer, Manipulation at Chef Robotics, you'll lead the development of advanced manipulation systems that enable our robots to handle thousands of different food ingredients with precision and adaptability. You'll be responsible for designing and implementing sophisticated algorithms that can intelligently adapt to varying physical properties of ingredients, from sticky sauces to delicate garnishes, ensuring consistent performance across millions of meals in high-throughput commercial environments. This role requires deep expertise in manipulation algorithms, sensor integration, and real-time adaptation systems. As a small team, we are focused on building a positive in-office culture. We are looking for individuals who are available to work onsite at the office five days a week and can work start-up-oriented hours.Advanced Manipulation Algorithm Development • Lead the development of classical and ML/RL-based motion planning and manipulation algorithms that work reliably across thousands of different foods with varying physical properties (stickiness, density, viscosity, texture), • Design and implement novel algorithms to learn ingredient properties on-the-fly and intelligently adapt manipulation parameters in real-time, • Develop robust manipulation strategies that can handle edge cases and unexpected ingredient behaviorsSensor Integration & Feedback Systems, • Incorporate new sensor data including force control, tactile feedback, and vision systems for enhanced manipulation precision, • Develop sensor fusion algorithms that combine multiple data sources for improved manipulation decision-makingImplement real-time feedback loops that adjust manipulation parameters based on sensor input, • Design calibration systems for accurate sensor-based manipulation control, • Create diagnostic systems to monitor and validate sensor performance during manipulation tasksPerformance Optimization & Analysis, • Analyze manipulation performance across different ingredients and environmental conditions, • Optimize manipulation trajectories and control parameters for maximum throughput while maintaining quality, • Develop metrics and benchmarking systems to measure ingredient manipulation performance, • Implement data collection and analysis pipelines to continuously improve manipulation algorithms, • Create performance dashboards and reporting systems for manipulation system monitoringSystem Architecture & Integration, • Contribute to overall robotics software architecture design with focus on manipulation subsystems, • Design clean interfaces between manipulation algorithms and other robotics subsystems, • Lead integration of manipulation systems with planning, perception, and control components, • Establish software engineering standards and best practices for manipulation code, • Mentor junior engineers and contribute to technical decision-making processesRequired Qualifications - Technical Expertise, • BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or related field, • 7+ years of professional experience in robotics software development with focus on manipulation, • Expert-level proficiency in Python and/or C++ with strong software engineering fundamentals, • Deep understanding of both classical and machine/reinforcement learning approaches to robot manipulation, • Extensive experience with robotic waypoint generation, path planning, and trajectory optimization, • Proven experience leading and shipping complex robotics software projects, • Strong background with common deep learning frameworks (TensorFlow, PyTorch)Domain Knowledge, • Advanced knowledge of manipulation algorithms including grasping, placement, and dexterous manipulation, • Experience with force control, impedance control, and compliant manipulation strategies, • Understanding of contact dynamics and physics-based manipulation modeling, • Knowledge of trajectory optimization techniques for manipulation tasks, • Experience with sensor integration for manipulation including force/torque sensors and vision systemsPersonal Attributes, • Excellent mathematical skills, especially with geometry, probability and statistics, linear algebra, and machine learningStrong problem-solving abilities with systematic approach to complex manipulation challenges, • Leadership experience with ability to mentor junior engineers and drive technical initiatives, • Comfort with working in a fast-paced startup environment with startup-oriented hours, • Commitment to working onsite five days a week to contribute to positive in-office culture, • Passion for robotics and food automation technologyDesired Qualifications, • Startup experience with track record of shipping working products under tight deadlines, • Robotics research experience, including publications in manipulation or related fields, • Experience with the robotics tech stack including Linux, ROS, OpenCV, CUDA, • Knowledge of calibration, state estimation, and sensor fusion for manipulation systems, • Experience with basic mechatronics and electronics relevant to manipulation systems, • Background in food handling, manufacturing, or industrial automation, • Experience with reinforcement learning for manipulation tasks, • Knowledge of grasp planning and dexterous manipulation techniquesKey Projects You Will Lead, • Developing next-generation ingredient adaptation algorithms for diverse food properties, • Implementing advanced sensor fusion systems for precise manipulation control, • Creating performance optimization frameworks for high-throughput manipulation, • Leading integration of manipulation systems with overall robotics architecture

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features that transform the way millions of users explore, interact with, and participate in live events worldwide. As a Senior Software Engineer, you will be an integral part of developing the team's commercial and product strategy. You will be expected to be equally focused on user needs and to exercise sound commercial judgment (not just technical judgment). Our Senior Software Engineers are essential to our company's success, so they must demonstrate initiative and enthusiasm in solving the problems they encounter. StubHub is committed to being a phenomenal and inclusive workplace. We expect you to also serve as an advocate and mentor for your team members, demonstrating leadership qualities and setting an example for those around you. Location: Hybrid (3 days in office/2 days remote) About the team:The Selection Core Team forms the foundation of the StubHub consumer experience and is at the heart of our mission to connect people with unforgettable experiences. The team is responsible for sourcing and categorizing data as part of the ingestion process, efficiently and meaningfully storing an ever-growing stream of data, and finally exposing the data to the end-user through a comprehensive set of scalable and intuitive interfaces. At a foundational level, the Selection Core Team aspires to act as an innovation engine for downstream teams, powering the enrichment of experiences on the front end within Consumer Experience, enabling innovative strategies for Customer Service, and facilitating more relevant ads for Performance Marketing. Finally, as the source for all visual assets (images, maps), the Catalog plays a pivotal role in shaping the look and feel of StubHub's website, serving millions of users a month with engaging visual content. What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 7+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using general-purpose programming languages(e.g., Java, C#), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Data Engineering, Machine Learning, API Design, and Distributed Systems, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineers What We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. Job Description As a Technical Project Manager, you will partner with a talented and accomplished group of technical managers on our Research and Engineering teams to lead the strategic alignment and technical delivery of large-scale initiatives that span cutting-edge machine learning methods and computational and data processing frameworks. This role is a means to make a difference: you will play an indispensable role in ensuring the effectiveness of our technical organization and its ability to deliver against an ambitious roadmap. Responsibilities • Manage a portfolio of complex technical projects that involve significant cross-team collaboration and dependencies, • Partner with Research and Engineering teams to understand project requirements and desired outcomes, translating them into detailed specifications and plans, • Coordinate synchronized delivery against roadmaps and projects across multiple teams, identifying and alleviating bottlenecks, surfacing second-order consequences, and helping teams prioritize, collaborate, replan and execute effectively, • Provide ongoing transparency on progress against key milestones for technical and non-technical stakeholders, always holding a clear picture of progress and risks, • Embed with teams and coach them toward improved Agile and best practicesRequirements, • 5 years of work experience with previous experience in software development and a minimum of 2 years of experience in technical project management, • Exceptional demonstrated collaboration, coordination, communication (written and verbal), multi-tasking, and organizational skills, • History of operating independently across multiple cross-functional teams, demonstrating critical thinking and data-driven decision-making, • Experience working with Agile teams, • Intermediate-level knowledge of digital tools, such as Jira and Confluence or similar, • Bachelor's degree in Computer Science or related STEM fieldPreferred Qualifications, • Scrum Master experience, • Experience with Machine Learning #LI-DL1 We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role: Crusoe’s People Team is building the foundation of a world-class People Analytics function. The Director, People Analytics & Insights will architect the systems, data flows, and analytical frameworks that define how we measure and understand our workforce. This leader will integrate data across HR, Finance, Recruiting, and Operations to create a single source of truth for headcount, performance, and engagement, then evolve that foundation into actionable insights and predictive intelligence. This is both a builder and operator role: someone who can design scalable architecture, manage a growing team of analysts, and build trust with executives and business partners across the organization by turning data into narrative. We are looking for a storyteller who brings workforce insights to life and connects them to business impact. What You'll Be Working On: * Build the People Analytics Foundation * Define the data architecture and reporting standards for all People data, establishing clear ownership, quality, and governance models. * Integrate data across the HCM/HRIS, People Tech Stack, and Finance systems to create a unified source of truth. * Lead the design and implementation of a scalable people data infrastructure and reporting layer in partnership with IT, Data Engineering, and Finance. * Lead the People Analytics Team * Build and lead a team spanning Workforce Planning, Recruiting Analytics, and People Insights. * Coach and develop analysts to deliver high-quality reporting, analysis, and executive-ready insights. * Set priorities, manage capacity, and foster a culture of curiosity, rigor, and trusted partnership. * Drive Workforce Planning & Strategic Decision Making * Partner with business leaders, Employee Success Partners (ESPs), Finance, and the Workforce Planning Manager to drive headcount forecasting, scenario planning, and reconciliation. * Translate business growth goals into hiring and workforce plans aligned with budget and organizational strategy. * Ensure recruiting demand aligns with capacity, funnel performance, and business priorities. * Drive Recruiting Analytics * Partner closely with the Recruiting Leadership team to model capacity and demand, optimize funnel conversion, and evaluate hiring performance. * Build standardized recruiting dashboards and insights that improve visibility into pipeline health, time-to-fill, and hiring quality. * Ensure alignment between recruiting data, workforce plans, and business forecasts. * Deliver Actionable Insights * Establish standard dashboards and success metrics across Talent Acquisition and the employee lifecycle. * Partner with the Sr. Manager of Talent Management and ESPs to translate insights into action on engagement, retention, and performance. * Empower executives with intuitive, data-driven insights that guide decision-making and organizational priorities. * Drive the Long-Term Data & AI Strategy * Develop and execute the People Analytics roadmap; evolving from foundational data architecture and operational reporting to enterprise HCM integration, centralized data lake, advanced analytics, predictive modeling, and ultimately agentic AI-driven insights. * Partner with data and business systems teams to apply machine learning and predictive models to workforce data. * Shape the People Team’s long-term AI and data strategy, ensuring ethical use, compliance, and measurable business value. What You'll Bring to the Team: * 10+ years of experience in analytics with a strong preference for People Analytics, Recruitment Analytics and Workforce Planning; 5+ years in leadership roles. * Proven experience building analytics functions or implementing end-to-end data architectures in high-growth or global companies. * Deep familiarity with HR and analytics technology ecosystems. * Strong executive communication and stakeholder management skills; able to build credibility quickly. * Experience leading cross-functional programs that integrate People, Finance, and Operations data. * High analytical rigor, strategic thinking, and a bias for execution. * Ability to travel, as required (at least once per month) Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300/month Compensation Range Compensation will be paid in the range of up to $188,000 -$235,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at the role The Weights & Biases (W&B) team builds the developer platform trusted by machine learning practitioners to track, manage, and scale their ML workflows. As a Technical Program Manager focused on platform reliability and release management, you'll be at the center of our platform's growth and stability. You will partner with engineering teams within W&B and CoreWeave AI/ML Platform Services (AMPS) to ensure W&B integrates seamlessly into the broader ML ecosystem, while maintaining high reliability and predictable releases. This role is ideal for someone who thrives in cross-functional environments, has a strong grasp of developer workflows, and excels at creating repeatable, reliable program structures that scale. In this role, the TPM will • Drive end-to-end program management for critical platform initiatives., • Build and run release management processes, ensuring predictable and high-quality delivery cycles., • Partner with engineering and product to define success metrics, manage risks, and ensure on-time delivery., • Build and scale incident management and RCA processes for W&B services., • Improve the predictability and visibility of releases across teams, introducing dashboards, retrospectives, and program forums., • Collaborate with TPMs and engineering leaders across W&B and CoreWeave to ensure end-to-end reliability across the ML developer stack.Minimum Qualifications, • Bachelor's degree in a technical field or equivalent experience., • 5+ years of program management experience in SaaS, developer tools, or ML/AI platforms., • Proven experience running release management programs and incident management processes., • Strong technical fluency in cloud computing, developer workflows, and CI/CD practices., • Excellent communication and facilitation skills with diverse technical and non-technical audiences., • Track record of improving reliability, efficiency, and predictability in software delivery.Additional Qualifications, • Familiarity with ML workflows, model training/inference, and developer productivity tools., • Experience building integrations between SaaS platforms, APIs, and cloud services. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description THE COMPANY Guidewheel is on a mission to empower all the world's factories to reach sustainable peak performance. Inspired by the simple, universal truth that every machine on the factory floor has a power cord, our plug-and-play FactoryOps platform makes the power of the cloud accessible to any factory. Guidewheel clips onto any machine to turn its real-time "heartbeat" into a connected, actively learning system that empowers teams to reduce lost production time, increase throughput, and perform better and better over time.At Guidewheel we work with the factories that are the backbone of our economy, and you can have a real, on-the-ground impact right away. We have strong momentum and alignment around our mission, investor support, and a culture that values diversity, growth mindset, and results. And the tight link between our mission and our business model means that reaching more of the world's 10 million factories accelerates our positive impact on the planet. The Guidewheel team shares the following values: • Integrity matters: We are honest, straightforward and sincere. With each other. With our investors. With our customers, • We (actually) care: About each other. About fighting climate change. About making a real impact, • We use data to make decisions: We possess the courage to accept "hard truths" and confront challenges head-on What you'll be doing: • Drive a land and expand sales motion, securing initial wins and growing accounts over time., • Operate effectively in a fast-paced startup environment with minimal supervision., • Own your pipeline creation as a prolific pipeline builder, leveraging BDRs, partners, and self-sourcing., • Consistently meet monthly, quarterly, and annual sales goals., • Become a product expert and develop strong knowledge of the manufacturing domain., • 3–5 years of SaaS sales experience closing deals with ACV ≥ $50K (software + hardware experience a plus)., • Experience selling in the manufacturing industry., • Ability and willingness to travel as needed., • Proven success in land and expand sales motions., • Skilled at competing against better-known competitors and legacy solutions, • Grow with a team that believes developing talent is important, and is building that as a core strength of the company from day one., • Be a leader in the organization, leading the way for future sales hires and mentoring junior team members as they join., • Have influence and impact on the full sales cycle, from Discovery, Scoping, Close and Handoff to Customer Experience., • Fair & equitable pay. Annual base salary for this role ranges from $85,000 -$100,000, and the on-target-earnings for this role range from $170,000-$200,000. The total on-target-earnings are dependent on many factors, including seniority level, location, and our internal compensation and bands., • 100% remote culture. Work from wherever, whenever - we hired you to get a job done, and as long as that is happening, you have the autonomy to get it done where and when you feel comfortable., • Flexible PTO policy. We value balance and boundaries. To be the best version of you, you need time away from your screen, so we want you to take it., • Generous equity. Everyone at Guidewheel receives equity in the business. You will be working hard to build something great, and when we reach the finish line, you should be rewarded for your hard work., • Health Benefits. We offer different health benefits to cover your personal needs from day one of employment - you pick the plan that makes the most sense to you. Guidewheel is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, age, gender identity, gender expression, veteran status, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Guidewheel makes hiring decisions based solely on qualifications, merit, and business needs at the time.