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Job Description As a Senior Network Security Engineer at Penumbra, you will play a critical role in determining the company's long term goals. You will be a key member of the Information Security and Compliance team. This is a highly technical, hands-on role. The Sr. Network Engineer will collaborate with Security, IT, Manufacturing, and Engineering teams and be responsible for engineering solutions and supporting operational activities across a hybrid cloud environment. The role responsibilities include ensuring compliance with legal and regulatory requirements and maintaining company security policies, standards, and industry’s best practices. What You’ll Work On • Ensure the network security of on-premises and cloud-based systems, networks, infrastructure, and services. • Enforce secure design standards and specifications for services, systems, and products., • Responsible for network security solutions, control designs, and enforcement across our environment., • Design and perform security assessments, configuration verification, configuration reporting, and other activities to validate control effectiveness., • Engage and share results of security audits with the Information Security and business partners to promote changes vital to improve risk posture., • Collaborate with cross-functional teams to develop and implement security measures supporting on-prem and cloud systems., • Develop roadmaps, standards, and documentation for technical solutions and existing configurations. Serve as the subject matter expert across the network security environment., • Respond to and lead, as appropriate, incident response activities for security incidents., • Collaborate with IT and line of business teams to integrate security into new and existing systems, processes, and initiatives., • Manage and configure security services, e.g., firewalls, intrusion detection/prevention systems, threat prevention technologies, VPNs, and other network security appliances., • Create and maintain documentation for security procedures, designs, and protocols, conduct security training and awareness for staff as appropriate to the role., • Stay current with emerging security threats and technologies in the security landscape. Ensure compliance with regulatory requirements and industry standards in the Company’s environment. What You Contribute • A Bachelor’s degree in computer science or related field with 10+ years of related experience, or equivalent combination of education and experience., • Master’s degree preferred in Computer Science or Engineering with an emphasis in Computer Security or a related field, • Highly analytical and results and process-oriented mindset strongly desired, • 10+ years of hands-on design, enforcement and testing/validation of offensive security, defensive security, systems, and solutions engineering in a large enterprise, • 5+ years of hands-on security experience with cloud platforms, i.e., Azure, AWS or Google Cloud Platform services, automation, or IaC, • 5+ years of hands-on experience network security experience and expert-level knowledge on security technologies such as Palo Alto Firewalls, Cisco ISE, IPS, CASB, VPN management, SAML/OIDC NAC 802.1X, SIEM, SOAR, Radius/TACACS+, directory services, • Proficient with network topologies, routing protocols, i.e., OSPF, BGP, ISIS, SDN, and tunneling technologies., • Proficient with diagramming and threat models, ability and competency to design and implement controls at scale based on risks, • Proficient in conducting solutions architecture, security design reviews, passionate about security and privacy research, technologies, and methods., • Possess an understanding of past and emerging security exploits, threat actor motivations, and trends, • Understanding security and compliance frameworks, security engineering, software delivery, and SDLC in a hybrid environment, • Outstanding ethical standards and integrity., • Excellent communicator with strong oral, written, and interpersonal communication skills, • High degree of accuracy and attention to detail, • Proficiency with Microsoft Word, Excel, Visio, and PowerPoint, • Excellent organizational skills with the ability to prioritize assignments while handling various projects simultaneously. Working Conditions General office environment. Willingness and ability to work on site. May have business travel up to 10%. Requires some lifting and moving of up to 10 pounds Must be able to move between buildings and floors. Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day. Must be able to read, prepare emails, and produce documents and spreadsheets. Must be able to move within the office and access file cabinets or supplies, as needed. Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. Annual Base Salary Range: $146,000 - $220,000/ year We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. What We Offer • A collaborative teamwork environment where learning is constant, and performance is rewarded. • The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. • A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra’s commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Polish, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $34/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in German, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 General Summary As a Senior R&D Engineer, you will be charged with designing game-changing medical devices to address some of the world’s toughest disease states. You will apply creative problem-solving at all stages of the design process, from concept to commercialization, as you provide technical leadership in the design and development of new devices as well as changes to existing devices, processes, and equipment. This role requires strong independent judgment, technical depth, and the ability to conceptualize, develop, specify, test, and implement new designs. Specific Duties and Responsibilities • Design, prototype, and develop new medical devices and components., • Manage projects as a project leader within a multidisciplinary project team., • Create comprehensive documentation packages that contain CAD drawings, product specifications, risk analysis, test protocols, test reports, studies, work instructions, etc., • Document research and development process through lab notebooks, engineering protocols, and engineering reports., • Execute testing and document, interpret, and communicate test results., • Identify, vet, and utilize vendors in the development of Penumbra products., • Perform research and integrate new technologies into existing and future products., • Train engineers, technicians and assemblers in new processes and methods., • Evaluate prototypes against standards or specifications and troubleshoot problems to assess root cause and corrective action., • Adhere to Penumbra’s Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures., • Understand relevant security, privacy and compliance principles and adhere to the regulations, standards, and procedures that are applicable to Penumbra., • Ensure other members of the department follow the QMS, regulations, standards, and procedures. Position Qualifications Minimum education and experience: • Bachelor's degree in Engineering (Mechanical, Biomedical, or related discipline preferred)., • 5+ years of experience in R&D Engineering or Product Development within the medical device industry., • Experience solving hands-on and multi-disciplinary technical design problems., • A portfolio demonstrating strong engineering acumen and mechanical intuition., • Refined soft skills that allow you to lead up and lead down with or without a formal reporting structure., • The ability to communicate complex issues in a clear and compelling manner, both in writing and orally. Preferred Qualifications: • Advanced degree in Engineering (Mechanical, Biomedical, or related discipline) a plus., • Experience with endovascular, electromechanical, and/or implantable devices. Location and Salary: • Annual Base Salary Range: $130,000 to $193,000, • Location: Alameda, CA We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. Working Conditions • General office, laboratory, and clean room environments., • Willingness and ability to work on site., • Potential exposure to blood-borne pathogens, • Requires some lifting and moving of up to 25 pounds, • Must be able to move between buildings and floors., • Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day., • Must be able to read, prepare emails, and produce documents and spreadsheets., • Must be able to move within the office and access file cabinets or supplies, as needed., • Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. What We Offer • A collaborative teamwork environment where learning is constant, and performance is rewarded. • The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. • A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra’s commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency. Responsibilities: • Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures., • Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators., • Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption., • Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry., • Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products., • Work closely with other software and hardware engineers to develop the next generation of deep learning software., • Collaborate with architects and hardware engineers to co-design future accelerators. Preferred Skills & Experience: • 10+ years of experience developing software for a variety of highly parallel architectures., • Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs., • Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity., • Understanding of Deep Learning fundamentals., • Strong development skills in C/C++, Python., • Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority., • Computer Science, Engineering, or related degree; preferably MS or PhD., • Driven and self-directed. Perks: • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days, • Stock options Please apply even if you don't check all the boxes. We are an inclusive and diverse company and welcome applicants from all backgrounds.

Job DescriptionJob Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance., • Develop, optimize, and evaluate prompts to improve AI model performance., • Conduct rubric-based assessments of AI outputs and provide structured feedback., • Perform independent research and fact-checking to validate technical information., • Annotate data and support quality assurance initiatives for AI training., • Interpret complex datasets and prepare clear technical reports and summaries., • Collaborate remotely with project teams to improve AI models and workflows.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical Documentation, • Technical & Report Writing, • Content Review & Editing, • Data Annotation, • Data Interpretation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics., • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations., • Strong analytical reasoning, critical thinking, and written communication skills., • Experience with data annotation, content review, or rubric-based evaluation is preferred., • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus., • Master's, MBA, PhD, or other advanced degree is preferred.

Job DescriptionAbout PayJoy PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This role Principal Product Manager, Mobile Location: San Francisco, United States | Mexico City, Mexico Reports to: SVP of Product Management About PayJoy PayJoy is a mission-first fintech company dedicated to bringing financial access to the next billion people in emerging markets. Our patented technology turns a smartphone into collateral, giving unbanked consumers an on-ramp to credit. We've served over 20 million customers across 11 markets and remain strongly profitable — and we're just getting started. We're now at an inflection point: evolving PayJoy from a transactional loan app into a financial hub spanning credit, e-commerce, benefits, and beyond. This role is central to driving that transformation. The Role As Principal Product Manager, Mobile, you will own the vision, architecture, and execution of transforming PayJoy's apps into a destination our customers want to return to. This is a senior Individual Contributor role reporting to the SVP of Product Management. You'll work directly with Engineering leadership and the executive team to shape PayJoy's next chapter. What You'll DoPlatform vision & strategy Define and drive the multi-year product strategy for PayJoy's mobile app platform. PayJoy operates a portfolio of multiple consumer and in-store apps. You'll help define how these apps fit together as one coherent ecosystem. Determine which capabilities live in which app, how customers discover and move from one app to the next, and how we handle deep links and handoffs, consistent navigation, and a shared design system across surfaces. Capitalize on active user traffic by designing personalized cross-sell capabilities across the ecosystem. Identify opportunities to extend the platform beyond servicing — including e-commerce, rewards and benefits ecosystems, and engagement tools. Develop the strategy for embedding financial education into the app, appropriate for a low-financial-literacy customer base. Execution & delivery Own end-to-end product delivery: from discovery and prioritization through development, launch, and post-launch iteration across all app surfaces. Define platform-level standards for navigation, architecture, performance, and UX consistency across all apps. Establish and run the mobile release process and cadence across the app portfolio — coordinating feature freezes, code cutoffs, regression windows, and coordinated cross-app releases where changes span multiple apps. Own the end-to-end submission process for Google Play, including review timelines and rejections/appeals, metadata and content-rating requirements, and keeping releases compliant with store policies. Drive phased and staged rollouts, feature-flagging and remote config, beta/internal testing tracks (Play internal/closed testing), forced- and recommended-update strategy, and rollback/hotfix procedures when something goes wrong in production. Drive PayJoy's app store presence — owning store optimization (ASO), ratings and reviews management, and release strategy on Google Play. Cross-functional leadership Partner deeply with Engineering leadership to align on architecture decisions, build out native mobile best practices, and scale platform capacity. Own key business KPIs such as cross-sell and reduced CX contacts per active user. Ensure platform investments accelerate core revenue to the business. Influence senior stakeholders across Product, Engineering, Design, Data, and Operations to align on platform priorities and trade-offs. What You'll BringRequired 8+ years of product management experience, with at least 5 years in a senior or staff-level role. Demonstrated experience building and scaling consumer mobile apps — ideally at a company that's gone through a platform inflection point. Deep expertise in Android product development: navigation patterns, mobile architecture, performance, release management, and app store operations. Strong background in fintech, consumer financial services, or a similarly regulated, data-intensive domain. Proven ability to translate ambiguous strategic goals into clear roadmaps, sharp prioritization decisions, and measurable outcomes. Demonstrated capability to define instrumentation events, execute phased rollouts, and measure metrics. Exceptional cross-functional influencer across engineering, design, data, risk, and operations — without relying on formal authority. Fluency in English, written and spoken. Nice to have Experience managing a multi-app or platform-level product portfolio — particularly secured/unsecured or credit-lifecycle product models. Background in emerging markets, LATAM, or building products for underbanked consumer segments. Hands-on experience with app store optimization, growth loops, or engagement and retention product mechanics. SQL fluency or equivalent ability to self-serve product insights from data. Fluency in Spanish or Portuguese. PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon 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, status as an individual with a disability, or other applicable legally protected characteristics. PayJoy Principles Finance for the next billion Ownership Break Through Walls Live Communication Transparency & Directness Focus on Scale Work-Life Balance Embrace Diversity Speed * Active Listening We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 PayJoy PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This role PayJoy is seeking an experienced and innovative global collections leader to set the strategy and scale up our efforts to help customers successfully manage repayment. As a global Fintech, we operate at scale across Latin American, Africa, and Asia, serving tens of millions of customers. We are a registered Public Benefit Corporation and balance positive customer benefit with for-profit company scale. This leader will help us fulfill our mission to serve our customers by delivering strong portfolio performance, ensuring fair customer treatment, and building long-term customers relationships and lifetime value. This is a cross-functional role reporting to the COO and co-founder and will drive meaningful bottom-line impact for the business. Key responsibilities Define and execute PayJoy’s global collections strategy to deliver predictable portfolio performance across diverse markets Develop segmentation, implementation, and testing capabilities that improve overall repayment, cure rates, cost to collect, and customer lifetime value. Partner closely with global Marketing, Operations, Credit & Risk, Data Science, Compliance, Product, and Engineering teams to ensure a seamless experience for our customers and leverage each group’s core capabilities. Select and manage external collections partners where appropriate, establishing rigorous standards for performance, customer experience, compliance, and quality. Ensure collections practices are fair, compliant, locally appropriate, and aligned with PayJoy’s commitments as a Public Benefit Corporation. Qualifications 10+ years of experience in consumer collections, credit operations, loan servicing, or a closely related field, including leadership responsibility for strategy and performance. Proven success managing high-volume, small-balance consumer credit portfolios across multiple countries or distinct markets, ideally serving thin-file or underbanked customers. Strong analytical and technical judgment, with experience using data, segmentation, automation, and experimentation to improve collections outcomes. Demonstrated ability to lead cross-functional initiatives and manage external collections partners while maintaining strong compliance and customer-experience standards. Experience in fintech, digital lending, device financing, or emerging markets is preferred. Proficiency in Spanish or Portuguese is a plus but not required. PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon 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, status as an individual with a disability, or other applicable legally protected characteristics. PayJoy Principles Finance for the next billion Ownership Break Through Walls Live Communication Transparency & Directness Focus on Scale Work-Life Balance Embrace Diversity Speed * Active Listening We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 DescriptionWho We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We are looking for a Senior/Staff Software Engineer to serve as a technical leader for Nuro's ML Data engine. You will sit at the critical intersection of Autonomy, Machine Learning, and Infrastructure, acting as an architect for the systems that feed our autonomy AI models. In this role you will be a member of the Autonomy team responsible for executing the technical strategy for transforming massive amounts of autonomy data into high-value training signals for autonomy decision making. You will design and build data products for autonomy researchers, develop queries for rare "needle-in-a-haystack" scenarios, and trigger labeling and data ingestion workflows without human intervention. You will partner directly with Autonomy ML researchers to understand their data needs, collaborate with infrastructure teams to define the right data interfaces and APIs, and build robust data selection, simulation, and introspection tools that can process data at scale. If you love solving challenging new problems with a mindset of deriving practical solutions to be used in the physical world, come join us About the Work • Data Pipeline Architecture: Design and build scalable data ingestion and processing pipelines that turn data streams into targeted training datasets. Lead initiatives to improve data quality, detect anomalies, and manage out-of-distribution examples to ensure robust model training and deployment., • Cross Functional Leadership: Work across autonomy teams and data infra teams to build effective ML data pipelines and products for ML engineers., • ML Tooling & Introspection: Develop infrastructure and visualization tools that allow ML researchers to easily introspect data, identify model failure modes, query for new data samples, and understand data distribution shifts., • Labeling Operations Integration: Collaborate closely with the data operations team to define quality standards, automate quality control (QC), and streamline the feedback loop between model performance and annotation guidelines., • Active Learning & Data Mining Engines: Lead the engineering effort to operationalize research-grade active learning methods. E.g. build systems that compute embeddings or run inference at scale, manage vector databases, and automatically sample the most informative data points for labeling.About You Required Qualifications • 7+ years of experience with a proven track record of technical leadership architecting and delivering complex, multi-system ML data engineering data systems., • Education: B.S./M.S. in Computer Science, Artificial Intelligence, Electrical Engineering, Robotics, or equivalent practical experience., • Understanding of end-to-end ML data pipelines and their interaction with model training and evaluation., • Strong proficiency in C++ and Python, with petabyte-level data management experience., • Experience taking data concepts (e.g., "uncertainty sampling") and turning them into stable, 24/7 production services. Preferred Qualifications: • Prior experience working in large companies with productionized AI systems working on data engines for large scale machine learning., • Experience in workflow orchestration, introspection UI/UX for data understanding, and ML frameworks for foundation model training., • Expertise in data-centric AI topics (active learning, pre-training) and their application in autonomous systems., • You have subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Robotics , and have some familiarity with the state of the art in ML for autonomous driving and data utilization. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Job DescriptionAbout SuperAnnotate SuperAnnotate helps the world’s leading AI teams build responsible, next-generation models powered by high-quality human data. We’re a fast-growing Series B startup bridging the gap between advanced AI innovation and the data that drives it. Our global network of expert specialists, scalable managed operations, precise talent matching, and full project transparency ensure unmatched data quality at scale. Trusted by innovators like Databricks and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate is proud to be the top-ranked AI data company on G2 for multiple consecutive years, including 2025. The Impact You'll Make We’re looking for a skilled, technical operator who can take full ownership of our most complex, high-value client engagements. As a Strategic Projects Lead, you’ll run the end-to-end delivery of SuperAnnotate’s largest LLM and Gen AI data programs. This includes everything from scoping data collection workflows with key clients, acting as a trusted resource to researchers, diagnosing data quality issues, and reallocating resources under a tight deadline. The role touches everything: strategy, execution, client relationships, team development, and process design. You’ll work directly with researchers, data teams, and other key stakeholders at some of the most advanced AI organizations in the world. You'll be trusted to represent SuperAnnotate at the highest level, including on technical tradeoffs, and to grow those relationships through execution and management excellence. You don't need to be building models, but you do need to be technical enough to understand how they're trained, evaluated, and improved. That means hands-on comfort with data, code, and pipelines, and the ability to engage credibly with client engineering and research teams on LLM data challenges and evaluation approaches. This is a full-time, hybrid position based in San Francisco. What You'll Do • Own project delivery end-to-end: Lead LLM and Gen AI data engagements from initial scoping through final delivery - including use case definition, resource planning, quality oversight, and client sign-off. The project succeeds or fails on your watch., • Be the client’s main point of contact: Build and maintain trusted relationships with key stakeholders. Bring transparency, good judgment, and a solutions orientation to every interaction., • Drive operational discipline across workstreams: Manage timelines, staffing plans, and delivery quality across multiple concurrent projects. Catch problems before they become crises and fix them before they reach the client., • Design and build the systems that make delivery possible: Architect data pipelines, quality frameworks, and review infrastructure that let your team execute at scale. Instrument the right KPIs, catch regressions early, and continuously refine processes as program needs evolve., • Lead and develop your team: Recruit, mentor, and performance-manage the operations and subject matter experts. Set the bar, support the people, and build toward a team that can scale., • Identify scope expansion opportunities: Partner with Go-to-Market to turn strong delivery into expanded engagements. Understand your clients’ broader AI data challenges well enough to propose what’s next., • Keep leadership and clients informed: Develop reporting cadences and executive briefings that give an honest, clear picture of project health, risks, and outcomes.What You'll Bring 4+ years of experience running complex technical projects or operations in client-facing roles, with at least some of that time in a high-growth startup environment. A track record of owning outcomes: You’ve managed cross-functional workstreams with real accountability - and you can point to what you delivered and how. Coding ability and analytical depth: You have solid coding skills (Python, SQL, or similar) alongside depth in machine learning, statistics, or data science. Strong senior stakeholder communication: You’re comfortable in a room with a CTO or VP and can represent a complex project clearly, confidently, and honestly. Sharp operational problem-solving: You diagnose issues structurally, propose solutions with clear tradeoffs, and move quickly from analysis to action. Financial and resource fluency: You understand project margins, can build resource plans, and think about the business impact of operational decisions. A working knowledge of the Gen AI landscape: Familiarity with how LLMs are trained and evaluated, and what drives data quality at each stage, so you can guide your team’s approach and speak knowledgeably with client research teams. Bachelor's degree or higher in Statistics, Data Science, Machine Learning, Computer Science, Mathematics, Engineering, or a related quantitative field. CS, Math, and Engineering degrees should include meaningful ML or applied data science exposure. Nice to Have • Experience building or managing large distributed contributor or expert workforces. Background in management consulting, investment banking, or data-intensive technical services. MBA or equivalent advanced degree. In addition to the annual base salary, employees are eligible for an annual bonus paid out quarterly. Why SuperAnnotate This role sits at the center of what SuperAnnotate does and what the AI industry needs most right now. You’ll work on problems that matter, with clients who are building the systems that will define the next decade of AI. You’ll have real ownership, real visibility, and a direct line to leadership. Only shortlisted candidates will be contacted for an interview! Equal Opportunity We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 DescriptionGeneral Summary The Marketing Manager will develop, implement, and monitor marketing activities for Company products. Working as part of a cross-functional team, the Marketing Manager will assist in the commercialization of current and future products. This position combines day-to-day marketing activities with critical strategy planning and execution. There will be heavy emphasis on one-on-one communication and relationship building skills with physician customers, sales territory managers, and global marketing team members. Specific Duties and Responsibilities • Manage continuing U.S. customer and field-oriented product support activities. *, • Represent company at tradeshow meetings to promote products. *, • Implement promotion strategies, ensuring accuracy of product communication content.*, • Participate in field training on company products, and in the development of training materials. *, • Identify market opportunities to maximize market penetration. *, • Manage an ongoing evaluation of company products in the marketplace, with emphasis on customer needs and perceptions.*, • Participate in development and review of product specifications. *, • Participate in cross-functional launch teams to ensure successful delivery of new products to sales organizations and end users. *, • Articulate and reinforce high level positioning concepts to the field organization. *, • Support global marketing activities through communication and other support for regional sales and marketing team members. *, • Be personally knowledgeable of Penumbra’s products and customers’ anticipated uses. Know competitive situations and sell basics. *, • Perform an ongoing evaluation of the competitive situation and selling basis with a special emphasis on the customer’s view of competitive products and features. *, • Participate in market research activities as required., • Participate in development/review of product specifications. *, • Participate on cross-functional launch team to ensure successful delivery of completed products to sales organizations and end users. Rollout activities may include internal activities, e.g., packaging, or external activities, e.g., demo protocols. *, • Participate in developing detailed marketing literature and other sales tools for the Penumbra products as assigned. • Adhere to the Company’s Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures., • Understand relevant security, privacy, and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. *, • Ensure other members of the department to follow the QMS, regulations, standards, and procedures. *, • Perform other work-related duties as assigned. *Indicates an essential function of the role Position Qualifications Minimum education and experience: • Bachelor's degree in business, biology, or related field with 3 + years of experience, or equivalent combination of education and experience Additional qualifications: • MBA a plus, but not required, • Cardiovascular device experience preferred, but not required, • Demonstrated collaboration skills in a team environment, • Strong oral, written, and interpersonal communication skills required, • High degree of accuracy and attention to detail, • Proficiency with MS Word, Excel, and PowerPoint, • Excellent organizational skills with ability to prioritize assignments while handling various projects simultaneously Working Conditions • General office environment, • Business travel from 30% - 40% (U.S. and/or international), • Potential exposure to blood-borne pathogens, • Requires some lifting and moving of up to 25 pounds, • Must be able to move between buildings and floors., • Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day., • Must be able to read, prepare emails, and produce documents and spreadsheets., • Must be able to move within the office and access file cabinets or supplies, as needed., • Must be able to communicate and exchange accurate information with employees at all levels daily. Annual Base Salary Range: $125,000 - $200,000 We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. What We Offer • A collaborative teamwork environment where learning is constant, and performance is rewarded. • The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. • A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra’s commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Job DescriptionAbout Gridware Gridware 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 www.Gridware.io. Role Description As a Senior ML Manager, you will serve as a player coach role for Gridware’s cloud-based modeling team. You will help grow the existing team, improve algorithmic development frameworks, focus on strategic initiatives and direction for how we approach cloud sensor modeling, and establish best practices for a high throughput ML team. Responsibilities • 70% team management and strategy, 30% IC time, • Grow a high-performing team through hiring, coaching, performance management, and career development, • Partner with software engineering and ML infrastructure teams to ship robust, production-grade ML systems, • Own technical roadmap and execution for the cloud ML organization, balancing near-term product delivery with long-term technical investments, • Lead technical design of algorithms that improve the speed, accuracy, and reliability of Gridware’s automated hazard detection systems, • Define data strategy and labeling requirements, including real-world data collection and synthetic data generation approaches, • Explore and evaluate novel modeling approaches and research ideas to address existing and emerging automation challengesRequired Skills, • 3+ years of direct management experience, • 8+ years of experience building and deploying machine learning models in production environments, • Experience with both deep learning and classical machine/statistical learning techniques, • Strong programming skills with demonstrated proficiency in Python, • Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflowsBonus Skills, • Experience working with signal processing or sensor-derived data, • Experience at a growth-stage start-up, • Familiarity with human-in-the-loop or human-on-the-loop ML systems This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) “Off the Grid”, a two week per year paid break for all employees. Commuter allowance Company-paid training

Job Description As an Associate Demand Planner, you will play an integral part in Penumbra's manufacturing process. You will be responsible for organizing demand inputs to create forecasts needed to support the company’s corporate strategy and production/sales objectives. You will interface between internal and external stakeholders when forecasting and managing demand internationally. What You'll Work On: • Partner with Marketing and Sales teams to understand customer / market demands and develop monthly revenue / non-revenue SKU level forecast for both near - term and longer term; communicate regularly with Supply Planning and Production team to align on consensus plans and ensure timely and optimal execution. • Using supply chain tools / software (ANAPLAN), collaborate with Corporate Strategy and Marketing to align Marketing forecasts with the Financial Forecasts. • Support supply chain readiness for new products introduction. • Conduct supply chain analytics to continuously drive inventory and planning efficiency improvements for International Distribution Centers. Help plan and manage inventory levels for optimal inventory deployment, as well as ensure inventory meets service level requirements. • Develop, maintain, and update reports/tools to support monthly planning and forecast processes including ANAPLAN, TABLEAU, PowerBi, and Excel. What You Bring: • A Bachelor’s degree with 2+ years of supply chain experience, or an equivalent combination of education and experience • APICS, ISM, CPM, CSCP or CPIM certification preferred • Experience with PowerBi preferred • Experience with Supply Chain planning processes S&OP, Demand Planning, and Forecasting • Knowledge of MRP/ERP in Manufacturing, Inventory, and Supply Chain functional modules • SAP knowledge and experience with business intelligence software (Tableau) a plus • Ability work independently and as part of a team; ability to juggle multiple tasks and meet deadlines • Excellent oral, written, and interpersonal communication skills required along with being highly proficient at Microsoft Office tools, ANAPLAN experience a plus • High degree of accuracy and attention to detail Working Conditions: General office and cleanroom environments. Willingness and ability to commute to the Alameda office when needed. Business travel from 0% - 10%. Potential exposure to blood-borne pathogens. Requires some lifting and moving of up to 15 pounds. Must be able to move between buildings and floors. Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day. Must be able to read, prepare emails, and produce documents and spreadsheets. Must be able to move within the office and access file cabinets or supplies, as needed. Must be able to communicate and exchange accurate information with employees at all levels on a daily basis.as needed. Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. Annual Base Salary Range: $75,000 - $95,000/yearly We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. What We Offer • A collaborative teamwork environment where learning is constant, and performance is rewarded. • The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. • A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra’s commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Job DescriptionAbout Gridware Gridware 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 www.Gridware.io. Role Description The 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., • Experience scaling predictive systems across large and growing hardware fleets. This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) “Off the Grid”, a two week per year paid break for all employees. Commuter allowance Company-paid training

Job Description Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. Aircall's AI suite includes an AI Voice Agent and AI Messaging Agent that autonomously handle calls, WhatsApp, and SMS, plus AI Assist, which delivers real-time coaching, call summaries, and CRM automation for sales and support teams. We are looking for someone that can build out the evaluation foundation across all of these products and other agentic products. You'll work on voice models, agent capability evals, benchmark design, LLM-as-judge systems, failure analysis, and the infrastructure that ties it together by establishing shared metrics, test sets, and tooling to measure accuracy, resolution quality, and safety consistently across products. You will set up repeatable pipelines for regression testing and benchmarking as models and features evolve so teams can ship confidently without re-inventing evaluation methodology for each product. Key Responsibilities • Design and document comprehensive evaluation frameworks for Aircall's AI agents across voice, chat and messaging., • Train and fine-tune voice models (TTS, ASR, speech-to-speech) using production and synthetic data, iterating on architecture, data mix, and training strategy to improve accuracy, naturalness, and latency., • Assess AI generated solutions across training pipelines, experimentation setups, debugging processes, and optimization strategies., • Analyze system design decisions and identify strengths, weaknesses, and potential failure points., • Design annotation guidelines and workflows for human-labeled evaluation data, and calibrate LLM-as-judge systems against human raters to ensure automated evals stay trustworthy over time., • Build and maintain live quality monitoring for deployed AI agents, tracking accuracy, resolution rate, and safety signals in production, and flagging model or data drift before it impacts customers., • Own the metric contract for every published AI metrics, including definition, population, grain, rollup, validity window., • Build release gates, the offline regression suite each AI surface must pass before a prompt, model, or config change ships, measuring reliability across repeated trials, not just average pass rates., • Build voice-specific evaluation: simulated callers across accents, languages, background noise, barge-in, DTMF, and tool failures, with latency and ASR accuracy as first-class quality metrics. Minimum Qualifications • BS in Computer Science, Machine Learning, Statistics, or related field, • 3+ years of experience in ML Engineering or Applied ML with 8+ years of overall experience, • Strong experience in evaluating supervised, unsupervised, LLMs and deep learning models., • Hands-on experience in failure analysis and evaluating LLMs, • Experience building automated evaluation systems, • Strong communication skills to articulate complex technical concepts across technical and non-technical audiences, • Hands-on experience training or fine-tuning voice/speech models (TTS, ASR, or speech-to-speech), including data pipeline construction and experimentation. Preferred Qualifications • MS / PhD in Computer Science, Machine Learning, Statistics, or related field, • Experience evaluating LLMs or agentic systems (e.g., LLM-as-a-judge, RAG evaluation), • Experience with synthetic data generation and prompt engineering, • Experience training or fine-tuning voice models at scale, with familiarity in synthetic data generation, model distillation, or low-latency inference optimization for production voice agents. Base salary range: $181,000—$250,000 USD Why join us? ???? Key moment to join Aircall in terms of growth and opportunities ????️‍♀️ Our people matter, work-life balance is important at Aircall ???? Fast-learning environment, entrepreneurial and strong team spirit ???? 45+ Nationalities: cosmopolite & multi-cultural mindset ???? Competitive salary package & benefits DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here. 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 About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About You and The Role Zipline's Manufacturing Engineering team delivers the production systems that turn autonomous delivery aircraft and their subsystems into reliable, repeatable products at scale. As the Lead Production Equipment & Tooling Design Engineer based in our South San Francisco manufacturing site, you will own design and deployment of fixtures, workstations, mechanical tooling, and end-of-line test equipment that directly enable aircraft assembly, battery integration, dock components, and flight‑critical subsystems. This is a hands-on, high-ownership role: ~75% individual contributor designing, building, commissioning, and iterating equipment on the factory floor, and ~25% people and program leadership coordinating priorities, standards, and cross-functional delivery. Your work determines throughput, first-pass yield, assembly cycle time, and maintenance uptime for production lines that supply field operations and live delivery fleets—mistakes affect fleet readiness and safety-critical performance. What You'll Do • Own end-to-end delivery of production equipment and tooling projects for aircraft and electro-mechanical subsystems: requirements, CAD (Siemens NX), detailed drawings, vendor fab oversight, build, commissioning, and production release., • Deliver measurable improvements: drive tooling availability to >95% Uptime, reduce manual assembly cycle time by 20–40% per station, and improve first-pass yield (FPY) on targeted assemblies by >=10% within the first 6–12 months of deployment., • Design and install alignment fixtures, press and torque tooling, ergonomic operator stations, poka‑yoke devices, handling/transport fixtures, and automated EOL test rigs tied to build and test specs for aircraft, battery packs, and docks., • Lead on‑line debugging and rapid root‑cause analysis during launches and ramp phases; be prepared to run weekend or evening commissioning efforts during critical releases., • Create and enforce tooling design standards, GD&T practices, tolerance stacks, and material/process selections that meet safety and maintainability requirements for autonomous hardware., • Mentor and review work of 1–4 tooling engineers and technicians: set priorities, approve releases, run design reviews, and recruit/hire as required., • Coordinate cross-functionally with Design Engineering, Manufacturing, Quality, Supply Chain, Test Engineering, and Field Operations to align tooling scope, test requirements, and production schedules., • Manage relationships with fabricators and vendors: write technical RFQs, evaluate proposals, verify vendor QC, and perform acceptance testing at build and after installation.What You'll Bring, • 5+ years designing production equipment, fixtures, or custom automation in a high-volume or fast-ramping manufacturing environment; experience with aerospace, drones, medical devices, or safety‑critical electro-mechanical products is strongly preferred., • Bachelor's degree in Mechanical Engineering or equivalent practical experience., • Demonstrated mastery of GD&T, tolerance analysis, mechanism design, material selection, and failure‑mode thinking for assembly tooling., • Proficiency in 3D CAD; Siemens NX preferred (SolidWorks/Creo experience acceptable with strong NX learning intent)., • Hands‑on experience commissioning equipment on the factory floor: supporting fabrication, build, debug, test, and operator training; comfortable spending most of your week on-site., • Practical knowledge of pneumatics, actuators, sensors, linear motion, machine guarding, and industrial electrical interfaces used in tooling and small automation., • Track record delivering quantitative outcomes (cycle time, uptime, FPY, cost per unit) and making trade-offs between throughput, reliability, and maintainability., • Ability to lead vendor builds and perform acceptance testing to technical drawings and QA criteria., • Logistics: role is site‑based at the specified South San Francisco plant; expect regular on‑site presence during standard manufacturing shifts, availability for occasional off‑hours commissioning, and up to 15% travel to vendor or field sites., • Must‑have traits: high ownership of safety and reliability, decisive technical judgment under schedule pressure, comfort with ambiguity and rapid iteration, and willingness to escalate and resolve issues that affect fleet readiness.What Else You Need To Know The starting cash range for this role is Salary range: $150,000 - $180,000.00. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Please Note We have received reports stating that certain individuals are reaching out to people under false pretenses, claiming to be Zipline employees, affiliates, agents, or representatives. They may seek to gain access to your personal information or to acquire money from you by offering fictitious employment opportunities or by claiming that they are contacting you on Zipline's behalf. Genuine Zipline employees or representatives will never ask you for money or payment in exchange for employment opportunities or other related services. Any such offer of employment or any other service in exchange for fees that claims to be from us is deceitful and part of a fraud. If you believe you have been targeted by a fraudulent party, we ask that you immediately get in touch with us via email at security@flyzipline.com upon receiving a suspicious offer or claim. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Zipline 's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Job Description About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people. To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, believe hard things are worth doing, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other. About the role As a Machine Learning Lead at Nudge, you will drive the development of next-generation ML and imaging systems at the intersection of ultrasound, signal processing, and neuroscience. You’ll lead technical direction across core ML initiatives while remaining deeply involved in architecture, modeling, and deployment. In this role, you will: Lead the design and development of imaging algorithms that leverage in-house ultrasound transducers and high-performance compute to image the brain and skull Drive the development of high-resolution acoustic simulation systems to model the propagation and scattering of ultrasound energy and accurately predict delivered dose Architect computer vision and real-time inference systems that track brain motion and dynamically adapt targeting parameters during treatment Partner closely with mechanical engineers, electrical engineers, ultrasound engineers, transducer designers, and neuroscientists to translate research concepts into robust production systems Define technical strategy and best practices across machine learning, modeling, simulation, and signal processing infrastructure Mentor and elevate other engineers through technical leadership, code review, and systems-level thinking Help shape the long-term ML roadmap as we apply machine learning in a domain where it has not traditionally been used About you We are looking for engineers with at least 3 years of industry experience. Regardless of career level, you should have: Strong first-principles understanding of engineering, physics, and signal processing. Experience writing production-level code (Python preferred) A degree in Computer Science or similar engineering discipline You do not need prior experience with ultrasound or neuroscience Shipped products that deliver value in the real world; ideally, you will have solved problems involving messy real-world sensors High integrity and strong professional judgement

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: As a Lead Product Manager for Employer Growth, you will own the strategy and execution of initiatives that drive growth across ZipRecruiter's SMB employer customer base, with a focus on new employer acquisition, employer reactivation, and strategic partnerships. You'll partner closely with Engineering, Design, Data Science, Marketing, and Sales to optimize the employer acquisition journey, improve re-engagement, and build scalable product experiences that drive new paying employers and long-term customer growth. Key Focus Areas: • Act as an Owner: Take full accountability for your product domain, from high-level KPI setting to the nuances of daily execution., • Lead Core Product Areas: Direct the product roadmap for your aspects of the SMB product to improve customer value and product effectiveness., • Run rapid growth experimentation: You will experiment frequently with new ideas to supercharge our PLG motion and acquisition of new employers., • Obsess over your metrics: You will have a deep understanding of the metrics that drive your product area., • Partner closely with GTM: Coordinate with the GTM team to ensure the product-led growth motion ties into marketing and sales., • Voice of the User: Serve as the voice of the SMB customer to the rest of the team, constantly talking to your users, doing product discovery, and conducting user research., • Champion AI-Driven Development: Lean into ZipRecruiter's AI-first DNA to build personalized, proactive experiences that act like a personal recruiter for every seeker., • Coordinate Marketplace Fit: Partner closely with job-seeker-side product teams to ensure a healthy, balanced marketplace where employer and seeker actions lead to successful hires. Minimum Qualifications: • Proven Leadership: 5+ years of proven success in product management, with a record of delivering results, • Deeply Analytical: You are a data-obsessed problem solver who doesn't just look at dashboards but interrogates the "why" behind the numbers., • B2B Expertise: Deep experience building business-facing products at scale, • AI/ML Fluency: You aren't just a fan of AI; you understand how to leverage Machine Learning to solve user problems and have experience building AI-powered product features., • Customer-obsession: You have a passion for speaking directly with your users and personally conducting user research., • Strategic Versatility: You are a "smart generalist" who can be thrown at any complex problem—whether it's a technical architectural hurdle or a brand-new market opportunity—and figure it out., • Self-Motivation: You are highly driven and thrive in an environment where you are given the autonomy to drive massive impact. Preferred Qualifications: • Marketplace Experience: Previous experience at a two-sided marketplace (e.g., jobs, real estate, rideshare)., • SMB product experience: Previous experience leading products specifically geared towards SMB customers. As part of our team you'll enjoy: • Competitive salary, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan, • A fun environment where work-life balance is valued #LI-Remote The US base salary range for this full-time position is $215,000-$255,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Job Description We are seeking a full-time Senior Systems Engineer to enhance the performance and efficiency of our deployments. You will be in charge of owning the entire end to end system level performance for our deployments. In this role, you will collaborate closely with teams across Hardware, Infrastructure, and Machine Learning to integrate robust, production-grade solutions into our customers’ complex software environments. This role is ideal for candidates who are passionate about engineering solutions that bridge advanced robotics and real-time control, take full ownership of their work, and thrive in a challenging, collaborative environment. This role involves working closely with the solution team intentionally to design the cell/system flow, working closely with SW and HW to make sure the cell behavior matches the above workflow as well as SOW (Scope of Work). Travel to customer sites should be expected; travel time will be in conjunctions with deployments and can last several weeks at a time. However, travel time is minimal to none when not in deployment. What You’ll Be Doing Lead the development and implementation deployment layers across our systems. Own end to end system behavior and performance. Bridge the gap between solution, engineering and customer success when it comes to system behavior and performance. Be accountable and collaborate with the deployment team when it’s time to commission OSARO cells. Experience and Skills You'll Need BS in Computer Science, Robotics, or related field. 5+ years of experience in robotic control development, including experience with: Developing and tuning control frameworks for robotic applications. Trajectory optimization, kinematics, and motion planning for multi-axis robots. Expertise in Rust or C++ with a proven ability in software design, architecture, and developing complex, real-time, multi-process systems. Hands-on experience with industrial robotic arms, including direct development with low-level hardware controllers. In-depth knowledge of robotic system design, integration, debugging, verification, and testing, particularly for industrial robotic manipulators operating in demanding, real-time environments. Background working with robotic sensors (e.g., cameras, force sensors, grippers) involving sensor integration, calibration, or real-time data processing. Bonus if You Have MS or Ph.D. in Computer Science, Robotics, or related field. Experience working in an Agile development environment. Actual compensation is based on various factors, including but not limited to job-related skills, and experience. In addition to a base salary, this role is also eligible for benefits and equity. More About OSARO OSARO delivers best-in-class robotic piece-picking solutions for e-commerce where key challenges include high SKU inventories, complex packaging, and fragile items. In the rapidly evolving world of logistics technology, OSARO offers smarter automation, low-risk business plans, and its signature Hypercare support from exploration to installation. OSARO’s intelligent robots enable goods-to-robot (G2R) use cases, where the greatest gains are yet to be made on the automated warehouse floor. Its machine-learning vision and control software provides the foundation for all its products. We have a highly international team made up of expert machine learning practitioners and dedicated software and hardware engineers which matches well with the global nature of our business. We are naturally curious, love healthy debate, and respect varying points of view. At OSARO, we strive to be champions for equality. We believe we can serve as a model for diversity in the tech industry by emphasizing policies of nondiscrimination and inclusion at every step. We are an equal opportunity employer offering • Health, dental, vision, and commuter benefits., • Unlimited vacation time., • Excellent paid parental leave policy with the option for additional reduced and unpaid leave., • The chance to work with robots!, • The above full-time position is available immediately. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Robot Systems Engineer Member of Technical Staff — Robot Systems Location: San Francisco, CA — on-site, six days per weekEmployment: Full-timeCompensation: $200,000–$350,000 base salary + competitive equityVisa Support: Open to OPT, H-1B transfers, and new sponsorships About the Opportunity Our client is an early-stage robotics company developing and deploying robots for real-world physical work. The team brings together hardware, software, and machine learning engineers to build systems that operate reliably beyond the lab. They’re seeking a Robot Systems Engineer to own the connections between physical hardware and the software infrastructure that powers it. This is a hands-on individual contributor role with responsibility for integrating equipment, solving problems across hardware and software, and supporting deployed systems. What You’ll Do Build and maintain infrastructure that keeps deployed robots operating reliably under tight latency constraints. Integrate robot arms, teleoperation rigs, haptic devices, and sensors into production software stacks. Diagnose and resolve issues across device drivers, communication protocols, calibration systems, and physical hardware. Develop software interfaces and hardware abstraction layers that connect devices to data collection and machine learning pipelines. Partner with hardware and machine learning engineers to bring new capabilities into operation. Own integrations from initial development through deployment and ongoing troubleshooting. Requirements 2+ years of embedded or systems engineering experience integrating physical hardware into software stacks. Strong software engineering skills and hands-on hardware integration experience. You should be comfortable building reliable software around embedded systems, hardware SDKs, and device interfaces. Production deployment experience with robots, sensors, or comparable hardware systems. You must be able to explain what you personally built, integrated, and shipped. Research or prototype experience alone is not sufficient. Ability to debug across hardware and software boundaries, including drivers, communication protocols, calibration, and physical devices. Broad integration ownership. This role extends beyond firmware development into the software and infrastructure needed to operate complete systems. Comfort working in a fast-moving startup environment, navigating ambiguity and taking responsibility for practical engineering outcomes. Availability to work on-site in San Francisco six days per week. This is a firm requirement. Preferred Qualifications Experience shipping software for production robotics, autonomous vehicles, drones, or other physical AI systems. Experience with real-time systems where low latency and uninterrupted operation matter. Familiarity with ROS or other robotics middleware. Experience delivering hardware-software systems at a startup or on a small team with broad technical ownership. Compensation & Work Arrangement Base salary: $200,000–$350,000 Equity: Competitive equity package Location: San Francisco, California Schedule: On-site, six days per week Employment: Full-time employee position; not a contract or consulting engagement Visa support: Open to OPT candidates, H-1B transfers, and new sponsorships Interview Process Hiring Manager Introduction: Discuss your background, technical ownership, and alignment with the team’s working environment. Technical Screen: Live coding and hardware integration concepts. On-site Work Trial: Robotics platform architecture and design.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Sales can't sell what they can't explain. As we ship faster across datacenter, infrastructure, training, and inference, our field needs someone who can take a dense technical roadmap and turn it into a story a seller can tell. Our product-line PMMs own the messaging for their individual products. This role sits above and across them. You take the positioning each product PMM produces and synthesize it into a coherent portfolio story, then translate that story into the plays, training, and competitive frameworks the field actually runs on. You are the connective tissue between the product-marketing bench and Revenue Enablement. You own the sales narrative, the competitive intelligence, and the go-to-market motion across the whole portfolio. You own the first-call deck and the story arc that follows it through the customer journey, and you arm the field with the objections they'll hit and the plays to overcome them. What You'll Be Working On: Sales Plays Serve as the primary SME for building sales plays for new products and features, synthesizing across product lines into a single motion the field can run Translate product-line MRDs into sales-facing playbook components and launch guidance: what we're building, why, for whom, and what it displaces, framed for the questions sales will actually ask Partner with Product and product-line PMMs on launch calendars, ensuring Revenue Enablement gets months of lead time, not days Translate early-access and preview learnings into targeting guidance and field-ready talk tracks Messaging & Narrative Synthesize product-line messaging into a portfolio-level sales narrative using Command of the Message (Force Management), keeping the cross-product story coherent and differentiated Own the sales narrative for the First Call Deck: conversational up front Build modular slide libraries so reps can tailor by persona, segment, and use case without going off-message Training & Field Readiness Build curriculum components for new-hire onboarding and ongoing field education Build and deliver training with Product for Field Forum; help plan the calendar around launches Run train-the-trainer sessions with the Revenue Enablement team so enablement can scale delivery Review enablement-created content for technical accuracy before it reaches the field Competitive & Market Intelligence Maintain competitive battlecards using one consistent framework, so reps learn the structure once and can recall it under pressure Keep the competitive matrix current across hyperscalers, neoclouds, and managed inference providers Publish digestible analyst and industry updates with FAQs and "what to say" guidance, drawing on sources like SemiAnalysis and Gartner Keep ICP definitions current and help sellers identify and qualify new ICP targets Customer-Facing Content Product one-pagers and datasheets for every product, ready to send Customer stories, each with a single business-impact slide reps can drop into any deck Infographics, top-ten lists, and short attention-grabbing assets for outreach and LinkedIn Build ROI/TCO calculators and other decision-support tools for sales Operations Restructure and maintain content repositories so blogs, ungated content, and decks are discoverable, and so AI assistants and Field Guide can reliably pull the latest version Enforce version hygiene: one source of truth per asset, visible last-updated dates What You'll Bring to the Team: Required 10+ years in product marketing, ideally in cloud infrastructure, AI, or machine learning Technical depth in AI/ML infrastructure: you understand the real differences between training and inference workloads, what makes an inference stack fast or cheap, and how customers actually evaluate compute Working knowledge of the competitive landscape: hyperscalers, neoclouds, managed inference providers, and the buy-vs-build calculus Fluency with sales messaging frameworks; Command of the Message strongly preferred Proven storytelling: you can take a technical concept and make a non-technical seller feel confident repeating it Real understanding of how enterprise sales works: pipeline stages, MEDDIC-style qualification, what a rep is actually doing in a first call, and why most enablement content goes unused Ability to work across a bench of product-line PMMs: synthesizing their work, not duplicating it, and holding the portfolio view none of them own individually Experience building content that sellers voluntarily reuse Strong Plus Prior experience at an infrastructure, semiconductor, or AI platform company Background as a sales engineer, solutions architect, or technical seller Comfort with data tooling to build TCO models that survive customer scrutiny Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $240,000 - $270,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's 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 Description As a Solutions Engineer on the commercial team, you will work closely with our Data Science, Enterprise Sales, and Executive team to close new business through solution expertise. For Windfall’s commercial sales motion, the role of the Solutions Engineer is multi-faceted. You will be a strategic advisor to our internal sales team, solutions architect for our prospects, a product representative for demos, and voice of the customer in driving our GTM strategy. You should enjoy solving problems and collaborating with others, and have a strong understanding of the AdTech/MarTech ecosystem. You need to be comfortable working with executive-level stakeholders and experienced product leaders, and can easily facilitate conversations with both technical and nontechnical audiences. 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) Win when our customers win; and (5) Act with integrity and trust. Responsibilities: • Understand business problems to find the best technical solution among all possible, • Design and deliver new workflows, tests, and POCs for clients, and make recommendations for new use cases, • Partner with commercial sales as the technical arm of relationship selling, • Develop deep relationships with the client’s technical teams and respect from their commercial organizations, • Develop expertise regarding internal tools and administration, • Define features, phases, and solution requirements, providing specifications according to which the solution is defined, managed, and delivered, • Describe the structure, characteristics, behavior, and other aspects of the technology to project stakeholders, • Establish & maintain internal relationships with adjoining teams to ensure the seamless external experience, • Advise teams on customer feedback, PoV, and effectiveness of collateral, • Document customer business objectives, workflow diagrams, and success criteria, • Participate in the creation and delivery of customer-facing presentations (QBRs, Pitches, etc.), • Conduct/participate in opportunity pre- and post-mortems, assisting with documentation, • Assist with account planning and whitespace analysisRequirements:, • Minimum of 2+ years in an external client-facing role with great EQ is essential, • Prior experience in Solution(s) Role or AdTech/MarTech/Data industry, • Scrappiness. We don't have all the answers, but you'll need to find them, • Basic computer science skills or interest in self-learning – Command-Line and SQL proficiency will jumpstart your time to value, • Great communication skills internally and externally – Prompt response and action when needed, people rarely need to follow up with you, • Startup personality: smart, ethical, friendly, cross-functional, hardworking, and proactivePreferred Qualifications:, • Bachelors and/or Masters degree in a technical discipline (Computer Science, Technology, Engineering, Math) or another quantitative field, • Ability to work in ambiguous environments with little direction, • Technical experience with analytical tools, methodologies, and design, • Willingness and desire to learn and adopt new skills - both technical and non-technical - to craft and deliver the best solutions Additional Information: The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site Compensation range: About Windfall Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com. We comply with CCPA. For more information on how we comply, review our privacy notice. Windfall is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We may use AI tools to assist parts of the hiring process, such as reviewing applications or analyzing resumes. These tools assist our team and do not replace human judgment. Final hiring decisions are made by people.

Job Description Zoox is looking for an experienced software engineer to work on large-scale simulation pipelines used to validate the behavior of the Zoox self-driving vehicle. These are data and GPU intensive workloads built on Ray.io and Kubernetes. Given the massive scale and criticality of these pipelines, ensuring their reliability and efficiency has a significant impact on the company's ability to safely and quickly iterate on autonomy development. We are a small, scrappy team within the larger Autonomy organization. Although this role primarily involves off-vehicle pipelines, you will work closely with engineers developing the on-vehicle algorithms and models in our autonomy stack. We stay close to the end users - autonomy engineers - and think about the end to end use case for these validation pipelines. This is a hands-on role with a high degree of independence and ownership. You will be expected to contribute towards the framework’s architecture, reliability, efficiency, and grow its capabilities to support new use cases. You should have a track record of keeping production systems running with high availability. Experience with robotics or autonomous systems is not required but an understanding of the robotic data lifecycle is preferred. In this role, you will: Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors Improve the ML training pipelines supporting the autonomous behavior org Qualifications Bachelor’s degree in Computer Science or related field and 8+ years of industry experience Experience optimizing large-scale distributed systems for cost and efficiency Experience with AWS or similar providers Proficiency with Python and familiarity with C++ Bonus Qualifications Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective Background in algorithmic optimization or performance investigation Experience with Ray.io, particularly Ray Core and Ray Data Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will... • Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring, • Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models, • Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions, • Champion engineering excellence, ensuring high-quality, well structured and tested code., • Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature., • Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator., • Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:, • MS/PhD in machine learning, computer science, engineering, or a related field. Exceptional Bachelor’s students will also be considered., • Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning)., • Passion for taking research ideas and turning them into practical solutions for real-world applications., • Open-minded and collaborative team player with willingness to help others., • Solid understanding of computing fundamentals, including code efficiency., • Experience in deep learning frameworks such as PyTorch., • Proficiency in Python, Rust, C++ and/or CUDA. Bonus/nice to have:, • Experience deploying ML/DL models to a production motion planning or related robotics stack., • Experience in iterating on a model including evaluation, introspection and fine-tuning., • Strong grasp of machine learning literature, including current trends and state-of-the-art techniques., • Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels. The US yearly salary range for this role is: $159,000 - $296,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits: • Competitive compensation and equity awards., • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only)., • Unlimited Vacation., • Flexible hours and Work from Home support., • Daily drinks, snacks and catered meals (when in office)., • Regularly scheduled team building activities and social events both on-site, off-site & virtually., • As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 WHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW The Experimental Engineering team leads the engineering R&D efforts in new and emerging products at Consumer Reports. We're seeking a highly capable Senior Research Engineer to join our team and drive forward exploratory research engineering with particular focus on innovative applications of AI, machine learning, and emerging technologies. In this role, you'll embark on ambitious early-stage engineering efforts, validate concepts through rapid prototypes, and translate timely experiments into actionable insights that guide Consumer Reports' strategic initiatives. Research engineers operate 6+ months ahead of product roadmaps. Your work will be essential to identifying opportunities and pushing our technological boundaries. This is a full-time remote opportunity, with hybrid work available for candidates local to Consumer Reports offices in New York or Washington, D.C. This position is not eligibale for sponsorship or relocation assistance. How You'll Make An Impact Consumer Reports' Experimental Engineering team is dedicated to rapidly exploring and prototyping solutions that empower consumers. As a Sr. Research Engineer on our team, you will: • Lead exploratory spikes, proof-of-concept projects, and early-stage prototyping end-to-end to test high-impact, forward-looking ideas., • Identify strategic opportunities in emerging technologies (notably AI/ML) and translate these opportunities into actionable prototypes, • Serve as a technical leader on AskCR, our RAG chatbot built on Consumer Reports' product testing, journalism, and advocacy work and own architectural decisions on retrieval, evaluation, and orchestration, • Collaborate closely on technical planning, architecture, and implementation efforts for AskCR, our RAG chatbot built on Consumer Report's product testing, journalism and advocacy work., • Work collaboratively across cross-functional teams (Digital Product, Product Testing, User Research, Data Engineering, Advocacy) to share insights and ensure learnings are leveraged broadly across Consumer Reports., • Establish and refine practices for documenting experiments and synthesizing research outputs to maximize their organizational impact., • Mentor engineers and raise the technical bar across the team., • Cultivate a culture of curiosity, experimentation, rapid learning, and discovery. ABOUT YOU You'll Be Highly Rated If: • You have deep experience as a full-stack software engineer, with additional depth and interest in applied research, particularly within AI/ML domains., • You are a problem solver. You can take a vague problem and return with a crisp framing, a plan, and a working prototype without needing the path defined for you., • You are motivated by entrepreneurial challenges, comfortable navigating ambiguity, and experienced in rapidly iterating early ideas to test feasibility and viability., • You're comfortable being a senior voice on the team and making calls on technical direction, pushing back when something isn't worth building, and knowing when to kill a project., • You effectively communicate experimental findings and engineering insights clearly and enthusiastically to both technical and non-technical stakeholders., • You understand the balance between near-term product delivery and longer-term investment in innovation, and are capable of operating effectively in early phases of product development (spike → proof-of-concept → early prototype)., • You have practical understanding or curiosity regarding consumer rights, consumer advocacy, product ethics, and how responsible AI can empower individuals. You'll Be One of Our Top Picks If: • You have the experience. 7+ years of professional software engineering experience; a Swiss army knife of engineering skill with demonstrated expertise in Python (particularly FastAPI), frontend development frameworks (ideally React and React Native) and AI orchestration., • You've built and shipped applied AI products to consumers (building data pipelines, fine-tuning models, evaluating AI tools)., • You have a demonstrated curiosity for solving challenging and non-straightforward engineering problems; this might be reflected in a prior research engineering position, contributions to open source projects, self-directed programming projects, or something you'll surprise us with., • You bring a track record of designing and building innovative prototypes from the ground up, with examples you can walk through., • You have exceptional problem-solving skills and the ability to clearly communicate technical concepts to cross-functional teams., • You have experience mentoring other engineers or otherwise multiplying the work of a team. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation informed by location, as well as the candidate's particular combination of knowledge, skills, competencies, and experience. It is expected that most qualified candidates will fall near the middle of the posted salary range. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. Consumer Reports is registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges • New York Metropolitan Area, California, Chicago, Boston, and Washington, DC: $140K-$160K annually*, • All other approved CR locations: $133K-$152K *The higher geographic range also applies to employees who commute to Consumer Reports' Yonkers, NY facility. For designated metropolitan areas, eligibility is based on residing within 60 miles of the applicable metropolitan area. Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Job DescriptionJob Description Technical Product Manager of Artificial Intelligence (AI) Systems, Work From Home The Technical Product Manager of Artificial Intelligence (AI) Systems is a deeply technical, hands-on role. The Technical Product Manager of Artificial Intelligence (AI) Systems will work directly with engineers on system design, evaluation, and trade-offs-defining requirements, but shaping how the system works for global users. The Technical Product Manager of Artificial Intelligence (AI) Systems will work at the intersection of user needs, model capability, and system constraints, and are responsible for turning AI potential into real, reliable behavior in a real-world application. This position is 100% Remote. MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT. Technical Product Manager of Artificial Intelligence (AI) Systems Responsibilities: • Research and define end-to-end Artificial Intelligence (AI) system requirements from capability to behavior to user impact., • Translate model capabilities, data constraints, and evaluation results into clear product and system decisions., • Make hard trade-offs across quality, latency, cost, reliability, and UX., • Work closely with Machine Learning (ML), backend, and mobile engineers on system design, evaluation, and iteration., • Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback., • Drive execution with clear specs, strong judgment, and disciplined prioritization., • Ensure systems ship quickly, safely, and reliably, with strong feedback loops., • Own product quality end-to-end correctness, predictability, and user trust. Technical Product Manager of Artificial Intelligence (AI) Systems Outcomes: • Product strategy clearly aligns Artificial Intelligence (AI) capabilities with user needs and company priorities., • AI features deliver real value, are understandable, predictable, and trusted by users., • Decisions balance quality, speed, cost, and reliability effectively under uncertainty., • Roadmaps and priorities are clear, with fast iteration based on real user feedback., • Teams are aligned, focused, and able to execute on AI product goals with minimal friction. Qualifications Technical Product Manager of Artificial Intelligence (AI) Systems Qualifications: • Hands-on exposure to Artificial Intelligence (AI)-powered products, including LLM-based systems., • Artificial Intelligence (AI) experience required., • Experience working with model evaluation, prompt or pipeline iteration, and feedback loops., • Strong intuition for model limitations, hallucinations, bias, and drift., • Strong grounding in computer science fundamentals, including algorithms, data structures, and system design., • Solid understanding of Machine Learning (ML) fundamentals and how modern Artificial Intelligence (AI) systems behave in production., • Comfort reading, reviewing, and discussing technical design documents., • Significant experience owning complex, technical products end-to-end., • Proven ability to work closely with senior engineers and ML teams., • Strong judgment and decision-making ability in ambiguous, fast-moving environments., • Ability to balance ambition with technical and operational reality., • Experience shipping Artificial Intelligence (AI)-heavy consumer products is a plus., • Background as an engineer or highly technical product manager is a plus., • Experience defining evaluation metrics for Machine Learning (ML) systems is a plus., • Strong intuition for Artificial Intelligence (AI) User Experience (UX) patterns and failure handling is a plus., • Prior experience in zero-to-one product environments is a plus. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, Technical Product Manager of Artificial Intelligence (AI) Systems, AI, Artificial Intelligence, LLM, ML, Machine Learning, Technical Product Manager, UX, User Experience, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting Looking to hire a Technical Product Manager of Artificial Intelligence (AI) Systems in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Technical Product Managers of Artificial Intelligence (AI) Systems for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at www.nextstepsystems.com.

Job Description About LoopMe LoopMe is an AI company solving one of advertising's hardest problems: making brand advertising actually measurable — and making it perform. Our platform runs patented machine learning models across billions of consumer signals in real time, optimising campaigns toward outcomes like purchase intent, brand lift, and foot traffic rather than proxy metrics like clicks. The result is 2–5x better performance than industry benchmarks, at scale. We operate a high-load programmatic infrastructure — processing millions of ad requests per second with sub-200ms response times globally. This isn't a layer on top of someone else's stack; it's built from the ground up, in-house, by the team you'd be joining. Founded in 2012 and headquartered in London, we now have 400+ people across 19 cities and have sustained 40% revenue CAGR since 2018. The engineering problems here are real, the ownership is genuine, and the scale is significant. The opportunity LoopMe connects direct SDK and web supply with leading DSPs across performance, commerce, and brand advertising. As Director, Product Management, Demand, you own the product capabilities that make these partnerships more valuable and easier to scale. You work closely with DSP partners to shape the roadmap, build solutions together, and turn marketplace insight into products that grow demand revenue. You report to the Chief Product Officer. What you'll do • Own the demand product strategy and roadmap, turning Performance, Commerce, and Brand playbooks into priorities across creative, signals, inventory access, bidder health, and measurement., • Partner with DSP product and technical teams to understand their buying goals and constraints, and co-build capabilities that improve results for their advertisers., • Define flexible, repeatable integration capabilities across the Chartboost and LoopMe exchanges, so partners launch faster and gain wider access to supply., • Drive performance and commerce spend with products that help DSPs find valuable users and inventory, optimize bidding, and deliver stronger advertiser results., • Establish consistent definitions and reporting for bid requests, QPS, impressions, CTR, and other funnel metrics, so partners and internal teams can act quickly., • Measure the impact of each product on partner adoption, campaign performance, and revenue., • Lead delivery from partner insight to launch with Engineering, Ops, BD, and partner teams, with clear tradeoffs, clear ownership, and measurable results. What you'll bring Essential: • 8+ years of product management in programmatic advertising, including time on an ad exchange, SSP, or DSP., • Experience owning product strategy and a roadmap for a revenue-generating area, and measuring features against revenue impact., • Deep knowledge of OpenRTB and DSP integrations, including bid requests, QPS, signals, and deal setup., • Established relationships with DSP product and technical teams, and experience co-building products with external partners., • Experience leading cross-functional work with Engineering, Ops, and BD, making clear tradeoffs and shipping high-quality products. Nice to have: • Experience managing and developing product managers., • Experience with mobile in-app SDK supply and performance or commerce advertising., • Experience standardizing integrations across many demand or supply partners., • Experience defining marketplace metrics and reporting used by partners and internal teams. What we offer • Hybrid working — Tues–Thurs in our Union Square office, • Self-managed vacation (no maximum), • 1 month work-from-anywhere, • Healthcare, • 401k, • Summer Fridays (half-day Fridays, Memorial Day through Labor Day), • LoopMe Gives Back, • Learning & development support, including internal mobility and bi-annual promotion cycles Compensation $150,000-$200,000 The range provided is LoopMe's reasonable estimate of the base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible for other forms of compensation such as stock-based compensation, awarded based on company and individual performance. LoopMe also offers other compensation depending on the role, such as performance bonus. To apply LoopMe does not accept speculative agency submissions. To apply, please use the button below. #LI-JL1

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role As a Senior Product Manager for Orchestration, you will own major product areas within Crusoe’s Managed Orchestration portfolio. Your scope will include Kubernetes cluster lifecycle, control-plane capabilities, node pools and node health, managed add-ons, workload scheduling, Slurm on Kubernetes, or the APIs and interfaces customers use to operate large-scale AI infrastructure. You will have meaningful end-to-end ownership of the areas within your scope, from problem definition and product design through launch, validation, adoption, and continued improvement. This is a deeply technical and hands-on product role. You will work closely with engineering to turn complex and ambiguous infrastructure problems into clear, durable product designs. You will define detailed behavior, examine edge cases and failure modes, make thoughtful product trade-offs, and ensure that what we ship works well for customers in practice, not only in a design document. Success in this role means raising the quality of both the product and the decisions behind it. You will combine technical depth, customer understanding, strong product judgment, and disciplined execution to build orchestration capabilities that customers can depend on for their most demanding AI workloads. What You'll Be Working On: Own Major Orchestration Product Areas: Take end-to-end ownership of substantial product surfaces, including their roadmap, outcomes, priorities, quality, and continued improvement. Develop Durable Technical Product Designs: Turn complex infrastructure problems into clear requirements and coherent system behavior, including APIs, lifecycle states, failure handling, upgrades, and customer controls. Partner Closely With Engineering: Work directly with engineers throughout discovery, design, implementation, and validation to resolve ambiguity and shape high-quality solutions. Establish a High Product-Quality Bar: Pressure-test designs, evaluate working software, examine edge cases and failure modes, and ensure the product is ready before broad customer release. Understand Customers and Operators: Work with customers and internal teams to identify underlying problems and translate them into broadly useful, technically sound product improvements. Make Disciplined Product Investments: Prioritize work based on customer value, reliability, differentiation, engineering cost, and operational burden, then measure whether those investments delivered the intended results. Coordinate Across the Cloud Platform: Establish clear interfaces and responsibilities across infrastructure, networking, storage, identity, observability, capacity, and workload teams. Communicate Clearly: Produce precise requirements and decision documents, and explain technical trade-offs and business implications to diverse stakeholders. What You'll Bring to the Team: AI and Machine Learning Infrastructure: You understand how training, fine-tuning, inference, checkpointing, and GPU-intensive workloads interact with orchestration systems. Strong Technical Fluency: Significant experience with Kubernetes, cloud infrastructure, distributed systems, workload orchestration, or related technologies. Technical Product Management Experience: Five or more years of experience owning complex technical products or infrastructure initiatives from definition through delivery and iteration. Systems Thinking and Attention to Detail: The ability to reason through APIs, lifecycle states, failure modes, upgrades, operational workflows, and dependencies across distributed systems. Strong Product Judgment: The ability to balance customer value, reliability, engineering cost, operational complexity, and long-term maintainability when making product decisions. Ownership and Execution: A track record of independently driving ambiguous, cross-functional initiatives to clear decisions and high-quality outcomes. Clear Communication and Collaboration: The ability to work closely with engineers, document decisions precisely, and create alignment across technical and nontechnical teams. Bonus Points: High-Performance Computing: You have experience with HPC environments, Slurm or similar workload managers, specialized networking, or large accelerator clusters. Infrastructure Operations: You have operated or supported production infrastructure and understand the impact of product decisions on reliability, upgrades, debugging, and incident response. Builder Orientation: You enjoy using infrastructure products directly, examining APIs, and experimenting with systems to develop grounded product opinions. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of $170,000 to $205,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, 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 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 Product Manager, Machine Learning 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 We're looking for a visionary Senior Product Manager to own the product strategy for Baton's Machine Learning pod. Baton's ML infrastructure and model portfolio are maturing fast — from planning and scheduling optimization models to ETA prediction to Generative AI models — and this role exists to make sure that investment converts into measurable, durable value for Ryder and its customers. This role is crucial as we expand our long-term roadmap to build the next-generation freight technology platform. As an early product manager at Baton, you'll have an opportunity to make a huge impact through owning numerous mission-critical product initiatives. You'll own the 0->1 definition and prioritization of AI-driven product initiatives, partner closely with ML/infrastructure engineers and data scientists, and drive the transition of pilots and PoCs into production. We're looking for someone scrappy, technically fluent, and driven to turn ML capability into shipped products. Responsibilities • Lead the full product development life cycle, from need-finding to product vision and execution, • Own product strategy and roadmap prioritization for the ML Pod's portfolio of models and AI initiatives, • Own the initiative to improve ETA prediction accuracy and other model metrics, • Identify and address technological constraints that limit the growth of the business unit, • Develop proposals and research different strategies to define our short-term roadmap and long-term vision, • Work with design to drive prototyping and early ideation of new product features and capabilities across various logistics workflows, • Partner closely with ML/infrastructure engineers and data scientists to prioritize the backlog against business impact, • Define the go-to-market and adoption plan for AI capabilities across Ryder's freight and customer-facing platforms, • Navigate relationships to execute cross-department projects touching every inch of the organization, • Keep a mind toward future AI/ML product opportunities to help shape Baton's technical and product vision for 1, 5, and 10 years down the lineMinimum Qualifications, • Experience owning product strategy and roadmap for a technically complex or ML/AI-driven product, • Experience building 0→1 products and delivering exceptional user experiences or business outcomes, • A proven track record of shipping traditional ML or Generative AI products, • Experience taking an initiative through its full lifecycle: from PoC to production and monitoring/maintenance, • Sufficient fluency in ML/AI concepts to prioritize effectively and earn engineering trust (not a hands-on/technical PM requirement), • Can quickly grasp whether or not AI is needed to solve the problem, and if so, can quickly determine what type of AI could solve it (prescriptive = mathematical optimization vs. predictive = traditional ML vs. generative AI), • Experience working with cross-functional and technical stakeholders across the organization, • Ability to execute with minimal guidance, • Strong data-driven analytical skills to back up assumptions and recommendationsPreferred Qualifications, • 6+ years experience, • 4+ years experience in product management, • Comfortable in ambiguous situations, dynamic environments, and an understanding what fast-growing startups entail for PMs, • Experience in a B2B SaaS environment, ideally within freight, logistics, manufacturing, or another operationally complex industry, • Experience partnering with MLOps or ML infrastructure teamsThe Perks, • Competitive Base Salary + Cash Bonus Structure, • Annual Company Bonus + Long-Term Incentive Plan, • 401k with Matching, • Hybrid Work Schedule, • Hyper-Stable, publicly traded Enterprise, • Medical, Dental, and Vision Health Coverage, • Employee Stock Purchase Program (15% discount to market value), • Collaborative, Fun, and Tech-Forward office in Hayes Valley, San Francisco, CA Compensation Range: The annual base salary range for this position is $190,000 - $240,000*. Compensation will vary based on factors including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Baton's full-time employees are eligible for an annual performance bonus. 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 Atomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology platform. This platform enables new classes of micromachines to be designed and built by providing manufacturing processes and a materials library that are inaccessible to semiconductor manufacturing methods. It unlocks MEMS manufacturing not only for device classes that could never be produced by semiconductor methods, but also for entirely new categories. Furthermore, this digital platform is fully programmable in the way 3D printing is digital—but whereas 3D printing produces parts of a single material using a single process, the Matter Compiler™ technology platform is a multi-process, multi-material system: bits and raw materials go in, and complete, functional micromachines come out. The Atomic Machines team has also created an exciting first device—made possible only through the Matter Compiler™ technology platform—that we will be unveiling to the world soon. Our offices are in Emeryville and Santa Clara, California. About The Role: We are seeking an MLOps Engineer to join our AI and Modeling & Simulation org within the Data Engineering and Analytics team. You will build and operate the infrastructure that takes AI and machine learning models from experimentation to reliable production - covering training, deployment, serving, monitoring, and continuous improvement. This is a DevOps-leaning MLOps role centered on the model feedback loop: connecting production signals and expert feedback back to training so models improve as the system operates. We are looking for senior-level candidates who can take meaningful ownership of production ML infrastructure. The scope and seniority of the role will be shaped by the candidate's experience, technical depth, and demonstrated impact. You will work closely with Data, AI, Process, Design, and Software engineers in a highly cross-functional environment. What You'll Do: • Build and evolve the MLOps platform and CI/CD: Own the path from experiment to production, including experiment tracking, model registry, packaging, automated training and retraining, deployment, and safe rollout and rollback., • Operate model serving infrastructure: Build reliable, scalable batch, streaming, and real-time inference for models and digital twins supporting design, process control, scheduling, and inspection., • Build ML data and feature pipelines: Turn machine telemetry, process and knowledge graphs, images, time-series, agentic conversations, and other production data into contextualized, model-ready datasets and features., • Maintain ML data infrastructure: Support feature-store capabilities and a lakehouse foundation using Apache Iceberg on S3, with strong data quality, lineage, versioning, and reproducibility., • Close the model feedback loop: Build model observability and human-in-the-loop systems that capture production signals and expert corrections, version them as ground truth, and feed them into evaluation and retraining workflows., • Create paved roads for ML development: Develop standardized tooling and workflows that enable Data and AI engineers to move quickly while maintaining production reliability and reproducibility., • Drive technical ownership: Identify infrastructure, reliability, and scalability challenges and drive solutions from design through production. More senior candidates will have opportunities to shape architecture, technical direction, and engineering practices across the ML platform., • Collaborate across disciplines: Work with Process, Chemical, Materials, Simulation, Software, Data, and AI engineers to define deployment, serving, and data-collection requirements. What You'll Need:, • 5+ years of relevant industry experience building production software, infrastructure, data, or machine learning systems. We value demonstrated technical depth, ownership, and impact over a specific number of years., • Proven experience building and operating machine learning systems in production, with a strong MLOps/DevOps orientation., • Strong DevOps fundamentals, including CI/CD, containers, Kubernetes, cloud infrastructure, and infrastructure-as-code., • Proficiency in Python and SQL., • Hands-on experience with MLflow or similar tooling for experiment tracking, model registry, and model lifecycle management., • Experience with S3, lakehouse technologies such as Apache Iceberg, and workflow orchestration tools such as Airflow or Dagster., • Experience building pipelines for multimodal ML data, including images, time-series, structured, and semi-structured data., • Familiarity with manufacturing systems, sensors, process automation, or other physical-world data systems., • Strong problem-solving skills, attention to data quality and reliability, and clear technical communication., • Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related STEM field, or equivalent practical experience., • This role is open across multiple levels, from early in career though Staff (L4 through L6). We'll determine the appropriate level and compensation based on your experience, skills, and the scope of the role through the interview process. Bonus Points For:, • Experience with feature stores, human-in-the-loop systems, active learning, or data-labeling infrastructure., • Robotics or robotic automation experience, including sensors, vision systems, or robotics data., • Experience operating ML systems in manufacturing or other physical-world environments., • Experience building internal tools for expert feedback, labeling, model evaluation, or model interaction., • Experience designing shared ML infrastructure or platforms used across multiple teams or applications. The compensation for this position also includes equity and benefits. Salary Range $200,000—$250,000 USD

Job Description General Summary The Senior Development Quality Engineer leads Quality Engineering responsibilities as part of a product development team to design and qualify new life-saving products. This role is for a fully qualified engineer in all conventional aspects and functional areas. Plan and conduct work requiring judgment and independent evaluation along with selection and adaptation or modification of standard techniques, procedures, and criteria. Devise new approaches to problems encountered. Develop quality standards, application, revision, and maintenance for design, manufacturing, and inspection. Implement design control requirements and provide quality engineering support. Work independently with general instructions toward the objectives expected. Receive technical guidance on unusual or complex problems and supervisory approval on proposed plans for projects. Communicate and implement quality objectives. Specific Duties and Responsibilities • Lead in the development and qualification activities for new and existing products.*, • Lead and participate in project teams coordinating the quality efforts to design, develop, and continuously improve products. Plan, schedule, conduct, or coordinate detailed phases of engineering work for projects with various scopes. *, • Perform work which involves conventional engineering practice but may include a variety of complex features, such as conflicting design requirements, unsuitability of standard materials, and difficult coordination requirements. *, • Design and implement methods and procedures for inspecting, testing, and evaluating the precision and accuracy of equipment., • Develop and validate measurement methods., • Monitor design control to assure that new products meet guidelines, develop success measurements, and maintain currency with design control requirements per regulatory and industry standards, • Support developmental projects in the area of quality engineering, • Analyze reports and recommend corrective and preventive action to adverse results., • Perform statistical analysis and determine the responsibility for products or materials that do not meet required standards and specifications., • Support activities during FDA inspections and notified body audits. *, • Participate in the development of standard operating procedures. *, • Develop and approve documentation for inspection/testing procedures. *, • Perform responsibilities required by the Quality System and other duties as assigned., • Adhere to the Company’s Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures. *, • Understand relevant security, privacy, and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. *, • Ensure other members of the department follow the QMS, regulations, standards, and procedures. *, • Perform other work-related duties as assigned. *Indicates an essential function of the role Position Qualifications Minimum education and experience: • Bachelor’s degree in Engineering, a Life Science or related field with 5+ years or relevant experience, including experience in Quality Assurance and ISO, or an equivalent combination of education and experience Additional qualifications: • Advanced degree preferred, • Experience in auditing, design review, sterilization, project management, and/or product development highly desired, • Demonstrated knowledge of engineering and scientific principles, • High proficiency with computers and software applications, • Medical device, pharmaceutical, biotech, and/or other regulated industry experience desired, • Strong oral, written, and interpersonal communication skills, • High degree of accuracy and attention to detail, • Proficiency with MS Word, Excel, and PowerPoint, • Excellent organizational skills with ability to prioritize assignments while handling various projects simultaneously Location and Pay • Alameda, CA • Annual Base Salary Range: $125,000 to $175,000 We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. Working Conditions • General office, laboratory, and cleanroom environments., • Business travel from 0% - 10%., • Potential exposure to blood-borne pathogens., • Requires some lifting and moving of up to 25 pounds., • Must be able to move between buildings and floors., • Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day., • Must be able to read, prepare emails, and produce documents and spreadsheets., • Must be able to move within the office and access file cabinets or supplies, as needed., • Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. What We Offer • A collaborative teamwork environment where learning is constant, and performance is rewarded. • The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. • A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra’s commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Job Description About MISUMI Americas MISUMI Americas, a division of MISUMI Group, is a leading provider of standard, configurable, and custom manufacturing solutions. By integrating a vast catalog of components with a world-class digital manufacturing platform, MISUMI Americas empowers engineers and procurement teams to accelerate innovation across the entire product lifecycle. With operations in the San Francisco Bay Area and Chicago, the company serves as a vital partner for the most innovative companies in the Americas. Impact In This Role: As a Senior Product Manager, you'll play a defining role in building the next-generation Operating System for New Product Development (NPD) — one that leverages artificial intelligence, automation, and deep manufacturing intelligence to revolutionize how products are designed, sourced, and delivered globally. You will own and evolve MISUMI Americas Manufacturing Quoting & Fulfillment platform, the intelligent backbone that powers how our customers, operations teams, and global manufacturing partners collaborate. Your work will extend beyond traditional product management — you'll define, prioritize, and launch innovative technologies that dramatically increase accuracy, speed, and efficiency across quoting, fulfillment, and supplier orchestration. You'll partner with our advanced technology R&D team to turn cutting-edge research into production-ready solutions, bringing automation, predictive analytics, and generative intelligence into every step of the manufacturing lifecycle. What You'll Be Doing:1. Product Strategy & Vision • Define the long-term vision for MISUMI Americas manufacturing intelligence platform, emphasizing how AI and automation deliver measurable value for customers and partners, • Identify strategic opportunities to integrate machine learning models, natural language understanding, and computer vision into quoting, routing, and supplier selection workflows, • Build business cases for AI investments, articulating ROI through improved quote accuracy, reduced turnaround time, and increased partner throughput, • Partner with data science and R&D leaders to shape MISUMI Americas roadmap for AI-enabled quoting, intelligent fulfillment, and predictive supply orchestration2. AI Product Development & R&D Partnership, • Collaborate closely with AI research and data engineering teams to translate complex models into usable, scalable product features, • Define product requirements for systems that leverage large language models (LLMs), predictive algorithms, and generative tools to extract, classify, and structure manufacturing data (from drawings, CAD files, and natural language requirements), • Create feedback loops between AI systems and operational users to continuously improve model performance and reliability, • Lead experiments and pilot programs that validate new AI capabilities before wide-scale deployment3. Roadmap Execution & Delivery, • Translate strategic initiatives into clear, actionable roadmaps with measurable outcomes, • Establish frameworks to track input/output metrics, quantifying how new AI and automation features improve key business KPIs (margin, lead time, throughput, etc.), • Prioritize trade-offs between innovation speed and reliability, ensuring that AI-based systems meet the performance standards expected of mission-critical manufacturing infrastructure, • Partner with distributed engineering teams in the US, India, to ensure consistent execution and iteration velocity4. Customer, Partner, and Operations Insight, • Deeply understand the workflows, motivations, and friction points of engineers, procurement teams, and manufacturing partners, • Use a data-driven and empathic approach to discover high-impact opportunities for AI intervention — from automated feature recognition to supplier recommendation models, • Drive programs that integrate human feedback into AI systems, ensuring transparency, explainability, and trust5. Cross-Functional Leadership, • Build strong relationships with operations, design, and go-to-market teams to ensure AI-driven innovations translate into real business outcomes, • Communicate complex technical concepts simply, securing buy-in across executive, engineering, and commercial teams, • Champion a culture of experimentation, where data, user feedback, and model performance insights continuously inform product evolutionExperience:Required, • 5+ years of product management experience in B2B, SaaS, or technology-driven industries, • Demonstrated experience developing AI-enabled products or working directly with AI research or data science teams to bring intelligent features to market, • Strong analytical and strategic skills — able to balance visionary thinking with operational precision, • Expertise in Agile product development, roadmap ownership, and cross-functional execution, • Experience managing products that integrate multiple systems (ERP, MES, or supply chain networks), • Proven ability to influence and collaborate across distributed teams and time zonesPreferred, • Experience in manufacturing, supply chain, or complex logistics systems, particularly in quoting, routing, or fulfillment processes, • Familiarity with machine learning, computer vision, LLMs, or data analytics frameworks relevant to industrial applications, • Working knowledge of one or more manufacturing processes (3D printing, CNC machining, injection molding, sheet metal, etc.), • Background in productizing or operationalizing AI models for commercial usePerks and Benefits, • Competitive medical, dental, and vision insurance, • 401K plan, • Parental leave programs, • Paid volunteer days, • And much, much more! Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee routinely is required to sit; walk; talk and hear; use hands to keyboard, fingers, handle, and feel; stoop, kneel, crouch, twist, crawl, reach, and stretch. Salary Range: $180,000 to $218,000 per year, depending upon experience Interested in learning more? We look forward to hearing from you soon. We're actively seeking teammates who: • Bring diverse perspectives and experience to our culture and company., • Excel at being part of a strong, empathetic team., • Thrive in an environment emphasizing respect, honesty, collaboration, and growth., • Have an 'always learning' mindset that celebrates learning, not just wins., • Help us continue to build a world-class organization that values the contributions of all of our teammates We encourage applications from members of underrepresented groups, including but not limited to women, members of the LGBTQ community, people of color, people with disabilities, and veterans.

Job DescriptionGeneral Summary The Senior Quality Engineer role is for a fully qualified engineer in all conventional aspects and functional areas. Plan and conduct work requiring judgment and independent evaluation along with selection and adaptation or modification of standard techniques, procedures, and criteria. Devise new approaches to problems encountered. Develop quality standards, application, revision, and maintenance for manufacturing. Monitor design control and provide quality assurance support. Work independently with general instructions toward the objectives expected. Receive technical guidance on unusual or complex problems and supervisory approval on proposed plans for projects. Communicate and implement quality objectives. Specific Duties and Responsibilities •Participate in the development and qualification activities for new and existing products. •Lead and participate in project teams coordinating the quality efforts to design, develop, and continuously improve products. Plan, schedule, conduct, or coordinate detailed phases of the engineering work for projects with various scopes. •Perform work which involves conventional engineering practice but may include a variety of complex features, such as conflicting design requirements, unsuitability of standard materials, and difficult coordination requirements. •Perform engineering work including one or more of the following: •Design and implement methods and procedures for inspecting, testing, and evaluating the precision and accuracy of equipment •Develop and validate measurement methods •Monitor design control to assure that new products meet guidelines, develop success measurements, and maintain currency with design control standards per regulatory and industry standards •Support developmental projects in the area of quality assurance •Analyze reports and returned products and recommend corrective and preventive action •Perform statistical analysis and determine the responsibility for products or materials that do not meet required standards and specifications •Participate in NCR or CAPA board as necessary •Assist in and perform QSR training. •Support activities during FDA inspections, FDB inspections, and notified body audits. •Participate in the development of standard operating procedures. •Prepare documentation for inspection/testing procedures. •Perform responsibilities required by the Quality System and other duties as assigned. •Select, manage, train, and develop staff. Establish objectives and assignments and provide ongoing feedback through performance reviews and development plans. •Adhere to the Company’s Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures. •Understand relevant security, privacy and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. •Ensure other members of the department follow the QMS, regulations, standards, and procedures. •Perform other work-related duties as assigned. Indicates an essential function of the role Position Qualifications Minimum education and experience: •Bachelor’s degree in Engineering, a Life Science or related field with 5+ years or relevant experience, including experience in Quality Assurance and ISO, or an equivalent combination of education and experience, preferably in a medical device or regulated industry environment Additional qualifications: •Advanced degree preferred •Experience applying IEC 60601 standards in a medical device environment preferred •Experience with Process Failure Mode and Effects Analysis (PFMEA), sustaining projects, commercial medical device manufacturing, Non-Conformance Reports (NCRs), Failure Investigations, and Change Control •Experience in auditing, design review, sterilization, project management, and/or product development highly desired •Experience with Electronic devices and or PCBAs •Experience with Contract Manufactured Electromechanical Medical device products Working Conditions •General office, laboratory, and cleanroom environments. •Business travel from 0% - 10%. •Potential exposure to blood-borne pathogens. •Requires some lifting and moving of up to 25 pounds. •Must be able to move between buildings and floors. •Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day. •Must be able to read, prepare emails, and produce documents and spreadsheets. •Must be able to move within the office and access file cabinets or supplies, as needed. •Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. Location and Pay •Alameda, CA • Annual Base Salary Range: $125,000 to $175,000 We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. What We Offer • A collaborative teamwork environment where learning is constant, and performance is rewarded. • The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. • A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra’s commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Job Description The Business Process Analyst, CFSO, works as part of Penumbra’s Customer and Field Support Operations team, focusing on developing meaningful improvements and solutions to serve the function. The Business Process Analyst has a proven record of analyzing processes and collecting business requirements and designing improvements to meet business needs, project management, stakeholder alignment and change management. The Business Process Analyst will report to the Senior Manager, Operations and will be a key link between the CFSO function and counterparts in IT, the SAP team, Accounting, and Sales Operations. What You’ll Work On • Collaborate actively with business partners, including end users within CFSO, IT, Accounting, Sales Operations, and Quality to analyze and document business requirements and recommend, project manage, test and implement solutions • Effectively communicate and mediate an outcome • Project manage and effect change management, including planning, implementing and solidifying the changes • Improve and optimize current systems in the business • Work with end users to create compelling business case for new applications or functionality, including cost/benefit and risk/impact analysis • Collaborate closely with other teams and understand overlaps of teams and applications to troubleshoot/resolve issues • Work with end users as needed to develop and execute test plans to verify business systems and processes work as expected • Develop and recommend operational processes and/or process improvements focused on aligning with industry standards and best practices. • Support production system incidents; troubleshoot and provide root cause analysis; participate in user acceptance testing (UAT) to ensure quality of changes. • Ability to work independently, manage multiple projects simultaneously, and have excellent communication and collaboration skills. • Adhere to the Company’s Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures. • Understand relevant security, privacy and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. • Ensure other members of the department follow the QMS, regulations, standards, and procedures. • Perform other work-related duties as assigned What You Contribute • Bachelor's degree in business, IT, or related field with 5+ years of experience, or equivalent combination of education and experience • Experience with SAP • Detailed understanding of OTC process and transactional implications • Medical device, pharmaceutical, biotech, or other regulated industry experience desired • Experience with SAP, GHX and Salesforce is highly desirable • Strong oral, written, and interpersonal communication skills • High degree of accuracy and attention to detail • Proficiency with MS Word, Excel, and PowerPoint • Excellent organizational skills with ability to prioritize assignments while handling various projects simultaneously Working Conditions General office environment. Willingness and ability to work on site. Requires some lifting and moving of up to 25 pounds. Must be able to move between buildings and floors. Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day. Must be able to read, prepare emails, and produce documents and spreadsheets. Must be able to move within the office and access file cabinets or supplies, as needed. Annual Base Salary Range: $87,339 - $140,313 We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. What We Offer • A collaborative teamwork environment where learning is constant, and performance is rewarded. • The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. • A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra’s commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Job DescriptionJob Description Product Engineer, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home As Product Engineer, AI Email Applications, you will work at the intersection of user needs, model capability, and engineering constraints. The Product Engineer will work directly with Machine Learning (ML) and engineering teams to define how the system should behave, how we measure it, and how we continuously improve it. This is a deeply technical, hands-on role. You are expected to understand the system and challenge technical decisions. Artificial Intelligence (AI) and Machine Learning (ML) are required for this opportunity. This position is 100% Remote. MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT. Product Engineer Responsibilities: • Define end-to-end requirements for Artificial Intelligence (AI) capabilities, from model behavior to system behavior to user experience., • Translate model capabilities, evaluation results, and technical constraints into clear product and system decisions., • Make trade-offs across quality, latency, cost, reliability, safety, and UX., • Work closely with Machine Learning (ML), backend, and client engineers on system design, evaluation, and iteration., • Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback., • Establish clear quality bars and feedback loops for AI-powered experiences., • Drive execution through clear specifications, prioritization, and strong technical judgment., • Identify failure modes and ensure Artificial Intelligence (AI) systems behave predictably and recover gracefully., • Own product quality end-to-end, correctness, reliability, usefulness, and user trust. Product Engineer Outcomes: • Product strategy clearly aligns Artificial Intelligence (AI) capabilities with user needs and company priorities., • AI features deliver real value, are understandable, predictable, and trusted by users., • Decisions balance quality, speed, cost, and reliability effectively under uncertainty., • Roadmaps and priorities are clear, with fast iteration based on real user feedback., • Teams are aligned, focused, and able to execute on AI product goals with minimal friction. Qualifications Product Engineer Qualifications: • Artificial Intelligence (AI) and Machine Learning (ML) experience required., • Strong computer science fundamentals and system design skills., • Solid understanding of modern Machine Learning (ML) and how Artificial Intelligence (AI) systems behave in production., • Comfortable reading technical designs, understanding architectures, and engaging deeply with engineers., • Strong intuition for model limitations, hallucinations, evaluation, and failure modes., • Significant experience owning complex, technical products end-to-end., • Hands-on experience with AI-powered products, particularly LLM-based systems., • Experience with model evaluation, experimentation, prompting, or Artificial Intelligence (AI) system iteration., • Ability to turn ambiguous problems into clear requirements, measurable outcomes, and executable plans., • Strong judgment and the ability to make decisions when the right answer is not obvious., • Highly technical, curious, and comfortable going deep., • Strong bias toward shipping, experimentation, and learning from real-world usage., • Able to challenge engineers and researchers constructively while maintaining strong collaboration., • Comfortable operating with significant ownership in a fast-moving, zero-to-one environment., • An engineering background is a strong plus, but what matters most is the ability to reason deeply about - both AI systems and product outcomes. Nice to have: • Experience shipping AI-heavy consumer products., • Background as an engineer or highly technical product manager., • Experience defining evaluation metrics for Machine Learning (ML) systems., • Strong intuition for Artificial Intelligence (AI) UX patterns and failure handling., • Prior experience in zero-to-one product environments. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, AI, Artificial Intelligence, AI Email Applications, LLM, Large Language Model, ML, Machine Learning, Product Engineer, UX, User Experience, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting Looking to hire a Product Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Product Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionAbout Tahoe Therapeutics Tahoe Therapeutics is a biotechnology company pioneering a fundamentally new approach to drug discovery, one that begins with the biology of real patients. Our Mosaic platform is the first to make in vivo data generation scalable, with single-cell resolution, allowing us to map how drugs affect patient-derived cells in the body across a wide range of biological contexts. We are building the world’s largest in vivo single-cell perturbation atlas and using it to train multimodal foundation models that learn the context-dependent nature of gene function, disease progression, and drug response. By combining cutting-edge machine learning with the most biologically relevant datasets ever assembled in drug discovery, our mission is to find better drugs, faster and bring them to more patients who need them. Your role With Tahoe-100M, we solved one of the fundamental bottlenecks in building a virtual model of the cell: generating massive, perturbation-rich, single-cell datasets that capture real biological causality. With Tahoe-x1, we removed the second bottleneck: creating a modern platform for rapid iteration on model architectures and designs in a cost-efficient manner and at scale. At Tahoe, we embody a simple philosophy: build in the open, shoot for the moon, and we’re looking for people who want to push the frontier of what’s possible. As a Senior Machine Learning Engineer, you will play a leading role in designing the next generation of foundation models of gene regulatory networks powered by Tahoe’s large scale single-cell datasets such as Tahoe-100M and beyond. This role is well-suited for someone with a strong background in machine learning and statistics, and an interest in applying cutting-edge breakthroughs in ML to meaningful problems in drug discovery. We are looking for non-incremental thinkers with the skills to help build models that can make a real impact on drug discovery. Qualifications - Required • Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience., • Exceptional engineering skills to iterate quickly on data processing and training pipelines, • Experience in building, testing, training, and deploying modern neural network architectures such as Transformers., • Experience with frameworks like PyTorch, Tensorflow, Keras, JAX and the ability to write hardware optimized code for distributed trainingQualifications - Desirable, • Experience with distributed deep learning using frameworks such as HF Accelerate, Deepspeed, Composer, TorchTitan, Megatron etc., • Experience with training large neural networks on multiple compute nodes.Key Responsibilities, • Stay at the forefront of ML and computational biology research and rapidly adopt state-of-the-art techniques to train AI virtual cell models on our massive single cell datasets., • Work together with ML Scientists to develop the next generation of compute optimized models like Tahoe-x1.Benefits, • Unlimited Paid Time Off (PTO)., • Monthly Lunch budget, • One-time Office set up budget, • US Employees: HMO Kaiser Platinum and PPO Anthem Gold medical as well as vision and dental plans for both the employee and dependents. This position requires on-site presence at our South San Francisco office a minimum of three days per week. We welcome applicants who require visa sponsorship and provide work authorization support for qualified candidates. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff Machine Learning Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline—from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise in vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: • Build and train AI Edge models (e.g., Transformers, LLMs, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities., • Integrate ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation., • Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors., • Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors., • Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes., • Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs., • Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets., • Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud., • Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI.Requirements:, • Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field., • 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems., • Proven experience mentoring junior engineers in software development., • Expert Python (for training) and decent working knowledge of modern C++ (C++14/17 for inference)., • Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM., • Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector stores, or lightweight LLMs/SLMs., • Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data., • Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs., • Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources., • Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply!Desired Skills:, • MS/PhD in Computer Science, Engineering, or related fields., • Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT., • Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging., • Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: • Health care plan (Medical, Dental & Vision), • Flexible and Dependent Care Expense program, • Retirement plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Unlimited paid time off per year, 14+ paid holidays, • Hybrid office work arrangement, • Complimentary lunches, snacks, and beverages during on-site working days, • Wellness benefit allowance, • Phone & Internet reimbursement, • Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000—$300,000 USD

Job DescriptionDraup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.What you'll do• Build and maintain production-grade LLM pipelines and agentic workflows.• Design and optimize RAG architectures using vector databases (Pinecone, FAISS, Weaviate) at scale.• Implement agentic systems using LangGraph, LlamaIndex, or equivalent: tool use, multi-agent coordination, and reasoning loops.• Own prompt engineering, model versioning, evaluation (RAGAS, DeepEval), and LLMOps instrumentation.• Integrate AI features into large-scale data pipelines; maintain observability and guardrails in production.What we require• BS/MS in Computer Science, Machine Learning, or related field.• 3–5 years of AI/ML engineering; minimum 2 years building LLM-powered systems shipped to production.• Strong Python; PyTorch or Hugging Face Transformers; AWS or GCP; Docker/Kubernetes.• Portfolio of shipped AI work required — agentic pipelines, RAG systems, or fine-tuned models.• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship. 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 Career Renew is recruiting for one of its clients a Chief of Staff - this is an onsite role in San Francisco. Salary range: 165-225K USD base plus benefits plus equity. We are building AGI for banking. We’re replacing decades-old legacy systems with AI-native technology that automates 90% of the manual work humans once had to do. Our product is built upon responsible, compliant AI practices, including human-in-the-loop monitoring. Experience the future of lending for yourself! We've been founded by banking industry and machine learning experts from Stanford University and are backed by industry veterans & top-tier venture capital investors, including: Peterson Ventures, Y Combinator, The Sarah Smith Fund, and Clocktower Technology Ventures. We are looking for a Chief of Staff with 3+ years of experience to be the CEO's right hand during our most critical scaling phase. You'll be the glue that keeps our fast-moving team aligned and executing flawlessly as we build the future of lending. What will you be doing? • Manage CEO priorities and special projects, ensuring critical initiatives stay on track., • Partner directly with the CEO on internal and external meetings and initiatives., • Drive cross-functional alignment and communication, breaking down silos between teams., • Lead internal projects that drive operational excellence, from implementing new systems to streamlining workflows. Key Requirements • 3+ years of management consulting experience (e.g., McKinsey, Bain, BCG) or strategic roles at high-growth tech companies., • Proven ability to structure complex operational challenges and build scalable processes., • Experience managing internal operations or in a chief of staff role at a high-growth company., • Strong analytical skills, covering both quantitative and qualitative strategic thinking., • Exceptional communication skills and ability to coordinate across all levels of the organization. Why you should join us, • High-Growth Potential: We are building AGI for banking and recently closed a $29M Series A round to scale our operations., • Founding Pedigree: Our team consists of banking and machine learning experts from Stanford University backed by top-tier investors like Y Combinator and Peterson Ventures., • Proven Market Impact: Our AI Loan Assistant helps banks process applications with 90% less manual effort and 300% higher conversion rates., • Strategic Visibility: This role acts as the CEO's right hand during our most critical scaling phase, offering direct influence on company strategy.

Job DescriptionAbout the Role Join a pre-seed AI recruiting technology startup as a Machine Learning Engineer. You will build and deploy machine learning systems that power the core product, owning work from problem definition through production monitoring. The role works closely with product, engineering, and domain experts to deliver useful, reliable models. What You'll Do Design, train, and evaluate machine learning models for production use cases. Build end-to-end ML pipelines, from data preprocessing through model serving and monitoring. Partner with product and engineering teams to turn business needs into ML solutions. Debug and improve model performance using production monitoring and real-world feedback. Write maintainable code and contribute to ML infrastructure, tooling, and code reviews. Share knowledge with teammates and support a culture of rapid iteration. What We're Looking For At least 3 years of professional machine learning or software engineering experience, including building and deploying production ML systems. A completed degree and strong machine learning fundamentals, including model selection, evaluation metrics, feature engineering, and validation. Proficiency in Python and hands-on experience with TensorFlow, PyTorch, or scikit-learn. Experience implementing production ML pipelines with data preprocessing, model serving, and monitoring. Familiarity with MLOps tools and cloud platforms such as AWS SageMaker, GCP Vertex AI, Kubernetes, or Docker. Experience maintaining and optimizing deployed systems, and using A/B testing or other production experimentation methods. Comfort working in a fast-moving product environment with ambiguity and changing priorities. Location This is an on-site role based in San Francisco, United States.

Job DescriptionTITLE: Software Engineer IIRESEARCH AND DEVELOPMENT – BIOINFORMATICS AND SOFTWARE ENGINEERING We are seeking talented, curious, and self-motivated software engineers to help build the most advanced production-scale synthetic biology platform on the planet. Client X manufactures sustainable plant-derived ingredients using fermentation-based technology to help accelerate the move away from petrochemicals in our food, cosmetics and medicines. Our ingredients are used by more than 250 million consumers in over 2,000 of the worlds’ leading brands. R&D at Client X is a highly multidisciplinary effort and the Bioinformatics, Automation and Software Engineering (BASE) group is at its core driving us forward. Every aspect of our work, from modifying the DNA of microorganisms in the lab to full scale factory production, is facilitated by software and hardware automation. In addition, we collaborate daily with data scientists and computational biologists to use our wealth of data to solve problems using machine learning and other optimization techniques. Our tools integrate the activities of scientists, engineers, and industrial robots to enable the rapid optimization of genetic designs and laboratory processes to deliver high quality ingredients to our customers. Among the tools we have developed are a CAD/CAM system for genetic engineering: a compiler toolchain whose target architecture is life itself. This stack physically integrates high level genetic modules into microbial hosts. We also derive novel strains through random mutagenesis and directed evolution. Using our custom control platform, we then subject these experimental organisms to high throughput performance screening in our state-of-the-art robotic labs. Responsibilities: • Design, develop and maintain web-based application written in Python., • Collaborate with scientists to transform an understanding of their workflow into designs and implementations of appropriate data models and user interfaces., • Effectively communicate with research scientists., • Apply best practices of software development throughout your work, while staying abreast of advances in the practice. Qualifications:, • 3+ years of professional programming experience, • Strong coding skills in either Python or a similar language. Ideally deep experience in multiple languages. In addition to Python, Amyris has codebases in F#, R and PHP (phasing out, but still have some important legacy code)., • Experience with full-stack web application development, including coding skills in JavaScript, CSS and HTML. Relational database design and coding experience. We use PostgreSQL and SQL Server, though we also treat plasmids and chromosomes as datastores., • Experience developing software in a Unix environment. Dev tools are chosen at the developer’s discretion, but most of the software development and all production deployment is on Linux (Ubuntu)., • Fluent Linux command-line skills., • Interest and ability to communicate with scientists

Job Description JOB DESCRIPTION Note - same JD as the senior role with greater experience (8+ years) and technical leadership We are searching for a full-time Senior Software Engineer to be part of the founding team and work on automating life science methodology. As a Senior Full Stack Software Engineer, you will be an integral part of our founding team developing our edge-and-cloud biology automation stack. You'll design modern high-availability containerized services that run our biology automation pipeline using modern technologies like Vue.JS, docker, PostgreSQL, and hyperscaler cloud infrastructure. The architecture you develop will be essential to the success of the product and you'll help shape its direction. The Opportunity • Partner with founder to architect production AI infrastructure, • Work with engineering team to build hyperscaler cloud operations and end user environment, • Ship quality, well-tested code on a modern technology stack, • Design and build production-grade laboratory automation solutions, • Lead software design discussions and code reviews and help shape product direction, • Encourage, motivate and help other engineers hone their craft You'll Need • 5+ years of experience as a Software Engineer writing production-quality code in Python, • Passion for startup environments and early stage product development, • Experience designing and deploying containerized services with docker and kubernetes, • Experience deploying services on GCP or other cloud infrastructure, • Experience with DevOps and Continuous Integration techniques, • Experience with Javascript client development, • Experience with relational databases, • Has lead software projects from conception to construction to commercial deployment, • Technical leadership aptitude to mentor more junior engineers, • Strong written and verbal communication, • Experience working in a collaborative and fast-paced Agile team environment, • Desire to grow and learn while innovating on a system that grows and learns Bonus • BS, MS or PhD in Computer Science, Robotics, or related field, • Developed, deployed, and run a personal cloud product, • Experience with Vue.JS, • Experience with PostgreSQL, Kafka, • Experience with C/C++, • Experience with video and machine vision systems, • Experience with scientific computing or laboratory automation, • Passion for biology and life science Culture We think culture is something we build together, and should be used to motivate and cohere, rather than to exclude. If you are curious and excited about science and technology, enjoying working in a high autonomy, high accountability, and hands on environment, there's a good chance you'll be energized working here. We have a strong goal-oriented and asynchronous culture, so cogent and pithy writers will flourish. We emphasize learning and transparency and look for people who can expand the product's capabilities as well as their own.

Job Description About Cobalt AI Cobalt AI utilizes a combination of human expertise, robotic technology, and monitoring intelligence solutions to effectively resolve any security incidents. Our dedicated team patrols and monitors sites 24/7 to proactively prevent break-ins, identify significant leaks, and provide our customers with visibility over their space, their assets, and their data. Cobalt's team is composed of renowned technologists and security professionals and is backed by world-class investors such as Sequoia, Bloomberg Beta, and Coatue. In 2019, Cobalt was recognized as one of the Best Places to Work by the Silicon Valley Business Journal and the San Francisco Business Times. We’re looking for people who want to make an impact with us and help build a company that is known for its excellence in engineering, passion for progress, and dedication to customers. _ About The role: The Reserve Engineer (RE) is someone who is knowledgeable with computer hardware and provides our clients with top-notch customer service. The RE serves as Cobalt's "boots on the ground" and are part of our rapid-response field-operations team in the event a hardware-failure happens at a client site. Occasionally, REs assist with field projects and new robot deployments. The RE an essential role-player in keeping our robots operating and our clients happy. Please note, this is not a remote position. What You'll Do • Learn our robot hardware inside and out to be comfortable servicing and maintaining our machine. (we'll provide the paid training), • Communicate with both technical and non-technical teammates with field repairs and projects., • Ensure hardware failures on our robots are addressed, and resolved within a safe and timely manner., • Occasionally assist with field operation projects and new robot deployments, • Be dispatched to client sites within your area to resolve hardware failures 1-3 times a month(potentially more), • Reports to a Regional Project Manager for tasking and delegation. You're a Great Candidate If • You're excited about robotics, artificial intelligence, machine learning, and willing to learn, • You're familiar with hardware assembly and disassembly.(Tool kit with basic hand tools will be provided), • You're Familiar with computer hardware and small electrical components(proprietary training will be provided), • You're an excellent communicator and comfortable collaborating and receiving instruction on platforms such as Slack, GoogleMeet/Hangout etc., • You are available during days and times within Mon-Fri, 9a-5p. (Flex/Oncall schedule), • You're open to support jobs that may occur after hours(5pm-9am) and on weekends.(Flex/Oncall schedule), • You're presentable and comfortable speaking to clients from Fortune 100 & 500 companies., • You love providing great customer service. Bonus Skills • Experience with robotics, • Experience with computer hardware and electrical components, • Experience working in a fast-paced startup environment., • Military/First Responder, • Associate degree or higher The Reserve Engineer is a 1099 contractor position at Cobalt AI and is NOT a remote position. Compensation range is between $20-$50/USD hr DOE. Cobalt AI does NOT pay for relocation for this role. Cobalt AI is an equal employment opportunity employer and values diversity. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.

Job Description #TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors In conjunction with product management and design, the engineering team at Nextdoor is responsible for bringing to life the experiences that empower neighbors to build stronger communities and transform how people connect and engage with their local area. Working in small cross-functional teams, you'll work in an agile environment that values code quality, learning quickly, and personal growth through collaboration and challenge. You will collaborate with front end, back end, data science, infrastructure, and machine learning engineers to collectively improve the state of engineering at Nextdoor. All engineers are invited to join co-ops to facilitate continuous modernization and knowledge sharing. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we're looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You'll Make As a Fullstack Engineer on Nextdoor's Local Conversations team, you'll join the Rewards & Incentives pod and help build product experiences that encourage meaningful participation in neighborhood communities. You'll work across the frontend and backend, with a strong focus on building high-quality web experiences using React and Python/Django. You'll contribute to two evolving product areas to start. This is a highly hands-on engineering role. You'll contribute to entity-relationship modeling, solution architecture, implementation, testing, and iteration, while partnering with product, design, and engineering teammates. You'll also participate in team operating practices, including a gradual on-call shadow rotation after onboarding and ramp-up. The team will review role-specific expectations with candidates during the hiring process. What You'll Bring to The Team • Experience building and shipping software in a production environment, • Strong frontend fundamentals and experience with modern JavaScript and React. This is an important part of the role, • Experience with a server-side web application language; Python/Django experience is strongly preferred, • Familiarity with SQL and developing across frontend and backend systems, • Ability to break down product requirements, collaborate on technical approaches, and implement maintainable solutions, • Strong collaboration and communication skills, both verbal and written, • Ability to be flexible and adaptable in a dynamic environment, • Interest in contributing ideas and product perspective, not just executing predefined tasks, • 2+ years of software development experience and a demonstrated ability to own projects with increasing independence. Level will be determined based on experience and demonstrated proficiency, • Experience with Storybook or other component-driven development practices is a plus, • Eagerness to explore and apply AI tools and emerging technologies to reimagine how work gets done, • Willingness to participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises, as applicable to your location, • Interest in building relationships with teammates and contributing to Nextdoor's culture Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. The starting salary for this role is expected to range from $135,000- $200,000 on an annualized basis, or potentially greater in the event that your level of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate's geographic location. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee-only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

Job DescriptionAbout the Role Join an early-stage open-source MLOps company in a developer relations role at the intersection of community building, technical evangelism, and growth. You will build the company's presence in San Francisco, connect with AI and ML infrastructure communities, and turn community and product signals into measurable engagement. What You'll Do Build and host recurring meetups for the San Francisco machine learning infrastructure community. Represent the company at relevant AI infrastructure meetups, hackathons, and conferences. Create technical content, including talks, blog posts, social content, and demo videos informed by community needs. Deliver live Python framework demos, read code, answer technical questions, and troubleshoot with engineering audiences. Connect product usage, GitHub activity, and CRM data using tools such as Mixpanel, GitHub APIs, Attio, and Clay. Automate community engagement, lead follow-up, and pipeline tracking using CRM, enrichment, automation, and LLM workflows. Share community feedback and market insights with product and go-to-market teams. What We're Looking For At least 2 years of experience in developer relations, community building, growth, or developer-facing go-to-market roles, with measurable event and engagement outcomes. Proficiency with Python, APIs, and production code, including the ability to demo and troubleshoot technical products live. Experience building and instrumenting community engagement funnels, integrating product usage and open-source signals into automated workflows. Background in early-stage or resource-constrained environments, with ownership of end-to-end initiatives and minimal oversight. Experience creating technical content, running recurring events, and translating product capabilities for technical and non-technical audiences. Familiarity with open-source communities, product-led growth, and the MLOps, LLMOps, or AI infrastructure ecosystem. Established connections in the San Francisco AI, ML infrastructure, or MLOps community and a record of public speaking or community participation. Compensation & Benefits Salary range: $160,000 to $220,000 USD annually. Visa sponsorship is not available. Location On-site in San Francisco, California, United States.

Job Description As a Senior Business Systems Analyst, CRM at Penumbra, you will play a critical role in determining the company's long term goals. The Senior Business Systems Analyst, CRMis part of the IT functional team responsible for scoping, designing, and delivering technology solutions that enable and optimize Sales, Sales Engagement, Field Inventory Management (FIM), Marketing, and Service capabilities. This role primarily supports Salesforce Sales Cloud, Marketing Cloud, and Life Sciences Cloud, along with related commercial platforms and connected enterprise systems including ERP, analytics, data, and engagement applications. This position partners closely with business and operations stakeholders to translate strategic priorities and operational needs into scalable business capabilities, process improvements, and user-focused solutions. The role combines business analysis, process design, Salesforce platform knowledge, and cross-functional collaboration to improve sales execution, territory and alignment management, customer engagement, field inventory workflows, and commercial insights. The Senior Business Systems Analyst is expected to lead complex requirements and process analysis, support roadmap execution, and help shape solutions that are practical, compliant, scalable, and easy for sales reps and other end users to adopt. This role should bring strong user experience thinking to simplify workflows, improve screens and page layouts, reduce friction, and make systems more intuitive and efficient. What You'll Do • Partner with Sales, Sales Operations, Marketing, Customer Service, Field Inventory, and related business teams to understand business needs and translate them into scalable system capabilities, enhancements, and process improvements. • Lead business analysis and solution design across Salesforce and related commercial platforms, including Sales Cloud, Marketing Cloud, and Life Sciences Cloud platforms., • Support Sales capabilities including lead management, account and contact management, opportunity management, quoting support, pipeline visibility, sales engagement, and rep productivity workflows., • Support and enhance territory management, sales alignment, role hierarchy, user visibility, and access models to ensure the right user experience, reporting structure, and data access across the sales organization., • Support the design and continuous improvement of Field Inventory Management (FIM) capabilities, including inventory visibility, field inventory transactions, replenishment-related workflows, audit and scanning processes, reconciliation, returns, and integration points with ERP and other enterprise systems., • Lead current-state and future-state analysis across key commercial workflows such as Campaign to Lead, Lead to Opportunity, Lead to Account, Quote to Order, Order to Cash, and field inventory operational processes, identifying opportunities for simplification, automation, and improved user experience., • Partner with stakeholders to define, analyze, prioritize, and document business requirements, business rules, user stories, acceptance criteria, process maps, user flows, and functional specifications., • Work with admins, developers, architects, integration teams, QA, and business stakeholders to support end-to-end solution delivery across design, build, testing, deployment, and stabilization., • Support Salesforce administration and configuration activities as needed, including page layouts, Lightning pages, custom objects, fields, validation rules, reports, dashboards, flows, and related platform features., • Identify opportunities to use Salesforce Flow and related platform capabilities to streamline business processes, improve routing and onboarding, reduce manual work, and support scalable operations., • Support sales intelligence, insights, dashboards, and reporting capabilities that improve visibility into accounts, opportunities, territory performance, field activity, customer trends, and overall rep effectiveness., • Contribute to the evaluation and practical application of Agentforce, Data Cloud, AI-enabled workflows, and other emerging Salesforce capabilities where they can improve business outcomes, user productivity, or insight generation., • Apply strong user experience and process design thinking to simplify workflows and improve screens, layouts, and user journeys, so systems are easier, faster, and more intuitive for sales reps and business users., • Act as a liaison between business stakeholders, technical teams, integration teams, and vendors to ensure requirements are clearly understood and translated into practical solutions., • Break down initiatives into epics, features, and user stories in Jira or similar tools, and work closely with technical teams to clarify scope, dependencies, assumptions, and delivery needs., • Facilitate workshops and working sessions with business and IT teams; summarize decisions, risks, open items, and next steps, and drive alignment toward resolution., • Work with business users and project teams to define test strategies, test scenarios, and acceptance criteria; support system testing, regression testing, and user acceptance testing as needed., • Evaluate issues, constraints, and tradeoffs between business needs and technical feasibility; recommend practical options and drive informed decisions., • Serve as a key point of contact for day-to-day operation, enhancement planning, and issue resolution for assigned Go-to-Market platforms, including Salesforce and related commercial applications., • Support upstream and downstream process alignment across CRM and connected systems such as ERP, MDM, quoting/CPQ, analytics, service, marketing, and engagement platforms. What You Bring • A Bachelor's degree in business administration or Information Technology or related field with 7+ years of experience as a Business Systems Analyst working with cloud-based CRM platforms or equivalent combination of education and experience, • Strong experience as a Business Systems Analyst supporting Salesforce-based CRM platforms in commercial or customer-facing environments., • Strong working knowledge of Salesforce Sales Cloud and familiarity with Marketing Cloud and/or Life Sciences Cloud., • Solid understanding of Salesforce platform fundamentals, including data model, security model, role hierarchy, page layouts, Lightning pages, reporting, dashboards, and Flow., • Experience supporting commercial business processes such as campaign management, lead routing, opportunity management, territory alignment, quoting support, sales engagement, and sales operations., • Familiarity with sales intelligence, dashboards, analytics, and insight-driven capabilities that support sales performance and decision making., • Exposure to Data Cloud, Agentforce, AI-enabled workflows, or related Salesforce innovation areas preferred., • Experience working across connected enterprise systems and integrations, including ERP, MDM, quoting/CPQ, analytics, customer data, or product master data., • Strong requirements gathering, process mapping, user story development, and acceptance criteria definition skills., • Strong communication, facilitation, and stakeholder management skills across business, technical, and leadership audiences., • Strong analytical and problem-solving skills, with the ability to evaluate process gaps, system options, and business tradeoffs in a structured manner., • Ability to manage competing priorities, negotiate scope, and drive clarity and progress across multiple initiatives., • Strong user experience mindset, with the ability to simplify complex workflows and design practical, efficient solutions for end users., • Basic understanding of integrations, data flows, and system interfaces across enterprise platforms., • Ability to write basic to medium-complexity SQL queries preferred., • Exposure to BI and analytics tools such as Tableau, Salesforce Analytics, CRMA, Power BI, or similar platforms preferred., • Experience with SAP, Adobe Marketo, Showpad, cVent, Microsoft Dynamics, or related commercial applications is a plus., • Experience supporting Field Inventory Management, consignment, travel stock, replenishment, audit/scanning, reconciliation, or related operational workflows preferred., • Medical devices, pharmaceutical, biotech, or other regulated industry experience preferred., • Salesforce Administrator Certification preferred., • Scrum / Agile certification is a plus., • PMP certification is a plus., • High degree of accuracy and attention to detail., • Proficiency with Microsoft Word, Excel, PowerPoint, and collaboration tools Working Conditions General office environment. Willingness and ability to work on site. Business travel from 5% to 10%. Requires some lifting and moving of up to 10 pounds. Must be able to move between buildings and floors. Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day. Must be able to read, prepare emails, and produce documents and spreadsheets. Must be able to move within the office and access file cabinets or supplies, as needed. Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. Annual Base Salary Range: $132,000 - $200,000/ year We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. What We Offer • A collaborative teamwork environment where learning is constant, and performance is rewarded. • The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. • A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra’s commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Job DescriptionAbout the Role Join an applied AI research team building reinforcement learning environments and evaluation resources for machine learning models. In this role, you will use Python and thoughtful data design to help models perform more reliably across complex, real-world domains. What You'll Do • Develop Python software that supports reinforcement learning environment work and model evaluation., • Design data collection strategies and evaluation rubrics for machine learning models., • Create data slices that help surface model failure modes across finance, code, and enterprise workflows., • Help turn nuanced evaluation needs into structured data and assessment approaches that can be used to improve model performance.What We're Looking For, • One to four years of hands-on experience designing data collection strategies and evaluation rubrics for machine learning models., • Experience using Python for software development., • Background identifying model failure modes through evaluation across multiple domains, such as finance, code, or enterprise workflows.Compensation & Benefits The salary range is $260,000 to $290,000 annually. Visa sponsorship is available. Location This is an on-site role based in San Francisco, California.

Job Description Project Details Job Title: Data Quality Analyst Hiring Locations: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Contract Duration: 1-year contract with possibility of extension Location Policy: 100% onsite position — remote work is not available. To be considered, candidates must be located in or able to commute to one of the target cities listed above. Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do • Support quality and execution across DLA teams, ensuring work meets defined standards at scale, • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency, • Act as the first line of support for DLAs — answering questions and helping interpret guidelines, • Help DLAs navigate ambiguity and apply evolving instructions effectively, • Support onboarding and training of new DLAs through hands-on guidance and coaching, • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads, • Identify patterns, recurring issues, and edge cases in both human and model outputs, • Participate in calibrations, team discussions, and stakeholder syncs, • Contribute to improving guidelines, processes, and overall team performance, • Document findings and feedback in a clear, concise, and actionable wayWhat We’re Looking For, • Language Requirements: Fluency in English plus two or more additional languages:, • Primary Language (Must have at least one): French, Italian, Spanish, or German., • Secondary Language (Must have at least one): Portuguese, Russian, Polish, Turkish, or Vietnamese. University degree (Bachelor’s or higher) 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.