Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices You may be a good fit if you Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with large language models and understanding of how AI technology could be misused for cyber threats Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence Have experience tracking threat actors across surface, deep, and dark web environments Can derive insights from large datasets to make key decisions and recommendations Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.) Have strong project management skills and ability to build processes from the ground up Possess excellent communication skills to collaborate with cross-functional teams and present to leadership Strong candidates may also have Experience working with government agencies or in regulated environments Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance Deadline to apply None. Applications will be reviewed on a rolling basis. Annual Compensation Range $230,000 - $290,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We believe representation is important and strive for diverse perspectives on our team. Safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from email addresses. Legitimate recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, visit directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. We value impact-advancing our long-term goals of steerable, trustworthy AI-over smaller projects. We view AI research as an empirical science, akin to physics and biology. We are a collaborative group that hosts frequent discussions to pursue high-impact work and value communication skills. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space to collaborate with colleagues. Guidance on candidates' AI usage: Learn about our policy for using AI in our application process. As set forth in Anthropic's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
04/04/2026
Full time
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices You may be a good fit if you Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with large language models and understanding of how AI technology could be misused for cyber threats Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence Have experience tracking threat actors across surface, deep, and dark web environments Can derive insights from large datasets to make key decisions and recommendations Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.) Have strong project management skills and ability to build processes from the ground up Possess excellent communication skills to collaborate with cross-functional teams and present to leadership Strong candidates may also have Experience working with government agencies or in regulated environments Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance Deadline to apply None. Applications will be reviewed on a rolling basis. Annual Compensation Range $230,000 - $290,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We believe representation is important and strive for diverse perspectives on our team. Safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from email addresses. Legitimate recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, visit directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. We value impact-advancing our long-term goals of steerable, trustworthy AI-over smaller projects. We view AI research as an empirical science, akin to physics and biology. We are a collaborative group that hosts frequent discussions to pursue high-impact work and value communication skills. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space to collaborate with colleagues. Guidance on candidates' AI usage: Learn about our policy for using AI in our application process. As set forth in Anthropic's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Senior Product Manager, Drone Hardware Platforms & Sensors San Mateo, California, United States - Full-time Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond . About the Role As a Senior Product Manager for Drone Hardware Platforms & Sensors, you will work closely with our customers and our hardware and embedded software engineering teams to help define and shape Skydio's current and next-gen drone platforms, controllers, cameras, and accessories ecosystem. You'll ensure that we are building and delivering the right products to solve the most important problems across enterprise, government, and public safety. This is an incredible opportunity to have an outsized impact in service of our customers. Location This position is based onsite 5 days/week at our HQ in San Mateo, CA, with 25% travel. We offer relocation assistance if needed. How you'll make an impact Help shape our overall vehicle and hardware strategy in collaboration with our CEO and engineering executives, including the development of new hardware products, including new vehicle form factors. Engage with customers, prospects, and internal stakeholders to understand core business problems and develop visions and strategies to solve them. Draw upon direct customer experiences and ride-alongs as well as usage analytics to solve the most important and impactful problems for our customers. Continually develop, own, and publish product requirement documents and roadmaps for Skydio's vehicle hardware, controllers, cameras/sensors and embedded software. Partner with designers and engineering leaders spanning hardware, firmware, computer vision, AI, and machine learning to execute your product vision and requirements. Capture, document, and distill feedback from customers and prospects to steer product development. Collaborate closely with sales and customer success to build and maintain close customer relationships and ensure success. Partner with product marketing to develop launch plans, product positioning and messaging to bring your products to market. What would make you a strong fit 5+ years of proven success in defining and delivering complex hardware products with integrated software. Deep technical understanding of IoT or camera/sensors product technologies. Experience launching robust hardware products for Enterprise, Public Safety or Defense Customers. Detail-oriented with exceptional written and oral communication skills. Direct or indirect experience with engineering that allows you to actively participate in deep discussions with engineers on complex technical architecture challenges and tradeoffs. Highly facilitative team player who strives to enable others to do their best work. A passion for speaking with and learning from customers. A background in electrical engineering, mechanical engineering, or computer science. An advanced degree or an MBA would be a plus, but is not required. Background experience in utilities, public safety or federal (ISR) workflows Experience with enterprise/professional robotics or drones Expertise in camera interfaces, either in photography, videography, and/or for drone cameras Compensation At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $150,000 - $190,000 . Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company's group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria. Compensation for certain positions may vary based on the position's location. At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit
04/04/2026
Full time
Senior Product Manager, Drone Hardware Platforms & Sensors San Mateo, California, United States - Full-time Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond . About the Role As a Senior Product Manager for Drone Hardware Platforms & Sensors, you will work closely with our customers and our hardware and embedded software engineering teams to help define and shape Skydio's current and next-gen drone platforms, controllers, cameras, and accessories ecosystem. You'll ensure that we are building and delivering the right products to solve the most important problems across enterprise, government, and public safety. This is an incredible opportunity to have an outsized impact in service of our customers. Location This position is based onsite 5 days/week at our HQ in San Mateo, CA, with 25% travel. We offer relocation assistance if needed. How you'll make an impact Help shape our overall vehicle and hardware strategy in collaboration with our CEO and engineering executives, including the development of new hardware products, including new vehicle form factors. Engage with customers, prospects, and internal stakeholders to understand core business problems and develop visions and strategies to solve them. Draw upon direct customer experiences and ride-alongs as well as usage analytics to solve the most important and impactful problems for our customers. Continually develop, own, and publish product requirement documents and roadmaps for Skydio's vehicle hardware, controllers, cameras/sensors and embedded software. Partner with designers and engineering leaders spanning hardware, firmware, computer vision, AI, and machine learning to execute your product vision and requirements. Capture, document, and distill feedback from customers and prospects to steer product development. Collaborate closely with sales and customer success to build and maintain close customer relationships and ensure success. Partner with product marketing to develop launch plans, product positioning and messaging to bring your products to market. What would make you a strong fit 5+ years of proven success in defining and delivering complex hardware products with integrated software. Deep technical understanding of IoT or camera/sensors product technologies. Experience launching robust hardware products for Enterprise, Public Safety or Defense Customers. Detail-oriented with exceptional written and oral communication skills. Direct or indirect experience with engineering that allows you to actively participate in deep discussions with engineers on complex technical architecture challenges and tradeoffs. Highly facilitative team player who strives to enable others to do their best work. A passion for speaking with and learning from customers. A background in electrical engineering, mechanical engineering, or computer science. An advanced degree or an MBA would be a plus, but is not required. Background experience in utilities, public safety or federal (ISR) workflows Experience with enterprise/professional robotics or drones Expertise in camera interfaces, either in photography, videography, and/or for drone cameras Compensation At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $150,000 - $190,000 . Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company's group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria. Compensation for certain positions may vary based on the position's location. At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit
Job Requisition ID # 26WD94931 Senior Principal Data Engineer Position Overview At Autodesk, we as Enterprise Data Engineering team are pivotal in driving business growth and improving operational efficiency through innovative data solutions and insights. We are seeking a Senior Principal Data Engineer with deep technical expertise and business domain knowledge in Go-To-Market (GTM) enterprise systems, sales, finance, and customer master data domains. In this role, you will report to the Director of Data Engineering in our Growth Experiences Technology (GET) organization. You'll lead the delivery of advanced data platform services, data architecture and data products through various data initiatives, working with a globally distributed, talented team to transform Autodesk's business processes. As we collaborate across departments, you'll partner closely with Product Managers in data and other GTM function domains to identify high impact use cases, build scalable data platform services, design innovative data products, and deliver actionable insights. Your role will be crucial in defining and optimizing Autodesk's approach for data-driven decision-making processes. What We're Looking For Technical and Business Expertise: Extensive experience in GTM enterprise systems, sales, finance, and customer data. Data platform, ETL tools, AI and ML tools and strategy etc. Leadership and Collaboration: Proven ability to lead global teams and work effectively across diverse groups. Passion for Innovation: A creative professional with a passion for transforming data into actionable business insights. At Autodesk, we empower you to shape the future and Make Anything possible. If you're driven by the power of data and excited to lead transformative initiatives, we invite you to join our team. Location: San Francisco, United States. Responsibilities Work with multiple scrum teams (each has 7-9 engineers), and act as a force multiplier by coaching, mentoring, and developing high-performing data engineering teams and individuals. Establish and uphold high standards for code quality, readability, and maintainability across multiple engineering teams. Quickly and confidently navigate large, unfamiliar codebases, making sound technical decisions in ambiguous or evolving environments. Own and drive the data engineering approach to data quality, including framework design, enforcement, and ongoing improvement. Lead engineering teams through complex production incidents and outages, driving effective triage, root cause analysis, and durable remediation. Guide teams toward mature, high-performing DataOps practices that improve reliability, observability, and delivery velocity. Apply deep expertise in SQL best practices, with an emphasis on performance optimization, readability, and long-term maintainability. Demonstrate strong understanding of conceptual, logical, and physical data modeling, and apply these principles effectively at enterprise scale. Solve complex, enterprise-scale data engineering challenges across GTM systems, balancing technical rigor with business impact. Define, standardize, and enforce testing frameworks and quality gates for data engineering workloads. Serve as a technical decision-maker for best practices, resolving tradeoffs and driving alignment across teams when standards or approaches are unclear. Business domain experience in subscription and consumption business models. Work closely with different stakeholders: Business owners, users, product managers, program managers, architects, engineering managers & developers, etc. to translate business needs and product requirements to well-documented engineering solutions. Constantly communicating updates to stakeholders and other partners with stakeholders in different phases in terms of requirements clarification, solution/planning review, status/progress sharing etc. Minimum Qualifications BS or higher in computer science or related technical discipline. 10+ years of hands-on software and data engineering development experiences in enterprise applications and systems. Excellent problem-solving and troubleshooting skills and make sound architectural decisions. Broader knowledge in software architecture concepts. Deep knowledge and experience with data architecture and data platform designs. Deep knowledge and experience in data modeling, entity relationship and query analysis optimization. Deep expertise in Python, Snowflake, SQL and DBT. Real hands on project experience with these skills is a must. Expert in using AWS. Real hands on project experience with these skills is a must. Experiences working or leading solution design for sale planning solution, account hierarchy solution and/or customer segmentation solution. Experiences designing and building data science and ML models for generating business insights from enterprise system data. Demonstration of strong sense of ownership and competence in driving broad consensus and alignment across teams and GEOs. Ability to design and implement complex enterprise system solutions independently, demonstrate ideas by POC rapidly. Fast learner and excellent team player, experienced in work with different disciplines, domains problems and teams. Excellent interpersonal, communication and presentation skills both verbally and written. Rich experience in mentoring and coaching other developers is a must. Deep knowledge and experience of working in Agile process is needed. Embrace changes and can work under pressure. Willing to take challenges and stretch comfortable zone with growth mindset. Preferred Qualifications Rich hands on and tech lead project experience in delivering GTM enterprise solutions for sales, finance and marketing organizations is a plus. Rich domains knowledge in GTM business models and process is a plus. Rich domains knowledge on data architecture and data model is preferred. Experience building and delivering Gen AI capabilities or solution is a strong plus. Deep knowledge and experience in data science and machine learning are preferred. About Autodesk Autodesk, Inc. (NASDAQ: ADSK) is at the forefront of innovation, creating software that empowers people to transform ideas into reality. As a global leader, our design and make software revolutionizes the architecture, engineering, construction, manufacturing, and media and entertainment industries. Whether it's crafting high-performance cars, constructing towering skyscrapers, developing cutting-edge smartphones, or producing blockbuster films, millions of creators rely on Autodesk products to turn their visions into tangible results. Our solutions enable you to shape the future and Make Anything possible. Embrace the future of making things with Autodesk, where groundbreaking changes in design, manufacturing, and usage are happening every day. Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting Salary transparency Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $147,600 and $238,700. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).
04/02/2026
Full time
Job Requisition ID # 26WD94931 Senior Principal Data Engineer Position Overview At Autodesk, we as Enterprise Data Engineering team are pivotal in driving business growth and improving operational efficiency through innovative data solutions and insights. We are seeking a Senior Principal Data Engineer with deep technical expertise and business domain knowledge in Go-To-Market (GTM) enterprise systems, sales, finance, and customer master data domains. In this role, you will report to the Director of Data Engineering in our Growth Experiences Technology (GET) organization. You'll lead the delivery of advanced data platform services, data architecture and data products through various data initiatives, working with a globally distributed, talented team to transform Autodesk's business processes. As we collaborate across departments, you'll partner closely with Product Managers in data and other GTM function domains to identify high impact use cases, build scalable data platform services, design innovative data products, and deliver actionable insights. Your role will be crucial in defining and optimizing Autodesk's approach for data-driven decision-making processes. What We're Looking For Technical and Business Expertise: Extensive experience in GTM enterprise systems, sales, finance, and customer data. Data platform, ETL tools, AI and ML tools and strategy etc. Leadership and Collaboration: Proven ability to lead global teams and work effectively across diverse groups. Passion for Innovation: A creative professional with a passion for transforming data into actionable business insights. At Autodesk, we empower you to shape the future and Make Anything possible. If you're driven by the power of data and excited to lead transformative initiatives, we invite you to join our team. Location: San Francisco, United States. Responsibilities Work with multiple scrum teams (each has 7-9 engineers), and act as a force multiplier by coaching, mentoring, and developing high-performing data engineering teams and individuals. Establish and uphold high standards for code quality, readability, and maintainability across multiple engineering teams. Quickly and confidently navigate large, unfamiliar codebases, making sound technical decisions in ambiguous or evolving environments. Own and drive the data engineering approach to data quality, including framework design, enforcement, and ongoing improvement. Lead engineering teams through complex production incidents and outages, driving effective triage, root cause analysis, and durable remediation. Guide teams toward mature, high-performing DataOps practices that improve reliability, observability, and delivery velocity. Apply deep expertise in SQL best practices, with an emphasis on performance optimization, readability, and long-term maintainability. Demonstrate strong understanding of conceptual, logical, and physical data modeling, and apply these principles effectively at enterprise scale. Solve complex, enterprise-scale data engineering challenges across GTM systems, balancing technical rigor with business impact. Define, standardize, and enforce testing frameworks and quality gates for data engineering workloads. Serve as a technical decision-maker for best practices, resolving tradeoffs and driving alignment across teams when standards or approaches are unclear. Business domain experience in subscription and consumption business models. Work closely with different stakeholders: Business owners, users, product managers, program managers, architects, engineering managers & developers, etc. to translate business needs and product requirements to well-documented engineering solutions. Constantly communicating updates to stakeholders and other partners with stakeholders in different phases in terms of requirements clarification, solution/planning review, status/progress sharing etc. Minimum Qualifications BS or higher in computer science or related technical discipline. 10+ years of hands-on software and data engineering development experiences in enterprise applications and systems. Excellent problem-solving and troubleshooting skills and make sound architectural decisions. Broader knowledge in software architecture concepts. Deep knowledge and experience with data architecture and data platform designs. Deep knowledge and experience in data modeling, entity relationship and query analysis optimization. Deep expertise in Python, Snowflake, SQL and DBT. Real hands on project experience with these skills is a must. Expert in using AWS. Real hands on project experience with these skills is a must. Experiences working or leading solution design for sale planning solution, account hierarchy solution and/or customer segmentation solution. Experiences designing and building data science and ML models for generating business insights from enterprise system data. Demonstration of strong sense of ownership and competence in driving broad consensus and alignment across teams and GEOs. Ability to design and implement complex enterprise system solutions independently, demonstrate ideas by POC rapidly. Fast learner and excellent team player, experienced in work with different disciplines, domains problems and teams. Excellent interpersonal, communication and presentation skills both verbally and written. Rich experience in mentoring and coaching other developers is a must. Deep knowledge and experience of working in Agile process is needed. Embrace changes and can work under pressure. Willing to take challenges and stretch comfortable zone with growth mindset. Preferred Qualifications Rich hands on and tech lead project experience in delivering GTM enterprise solutions for sales, finance and marketing organizations is a plus. Rich domains knowledge in GTM business models and process is a plus. Rich domains knowledge on data architecture and data model is preferred. Experience building and delivering Gen AI capabilities or solution is a strong plus. Deep knowledge and experience in data science and machine learning are preferred. About Autodesk Autodesk, Inc. (NASDAQ: ADSK) is at the forefront of innovation, creating software that empowers people to transform ideas into reality. As a global leader, our design and make software revolutionizes the architecture, engineering, construction, manufacturing, and media and entertainment industries. Whether it's crafting high-performance cars, constructing towering skyscrapers, developing cutting-edge smartphones, or producing blockbuster films, millions of creators rely on Autodesk products to turn their visions into tangible results. Our solutions enable you to shape the future and Make Anything possible. Embrace the future of making things with Autodesk, where groundbreaking changes in design, manufacturing, and usage are happening every day. Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting Salary transparency Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $147,600 and $238,700. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).
Description Build and maintain scalable data infrastructure to support novel AI robotics research. Design dataset management systems including automated pipelines for data ingestion, processing, and curation. Develop visualization and inspection tools for dataset exploration and quality assessment. Research and implement state-of-the-art data filtering techniques including deduplication, quality scoring, and model-based filtering methods. Collaborate directly with science teams to support research projects through both infrastructure development and hands on technical contribution to data preparation workflows. About the team At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end to end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state of the art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world class researchers, and seeing your innovations deployed at unprecedented scale. Basic Qualifications 5+ years of non internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team Strong software engineering background with full stack development experience Deep understanding of machine learning fundamentals, particularly large scale model training Expertise in distributed systems, cloud computing, and scalable data processing Experience with data pipeline design, ETL processes, and data management systems Proficiency in translating academic concepts into production systems Preferred Qualifications 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Experience with dataset curation and quality assessment techniques Knowledge of computer vision and multimodal data processing Background in research environments or supporting ML research workflows Experience with data visualization and annotation tooling Familiarity with modern data filtering and deduplication methodologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
04/02/2026
Full time
Description Build and maintain scalable data infrastructure to support novel AI robotics research. Design dataset management systems including automated pipelines for data ingestion, processing, and curation. Develop visualization and inspection tools for dataset exploration and quality assessment. Research and implement state-of-the-art data filtering techniques including deduplication, quality scoring, and model-based filtering methods. Collaborate directly with science teams to support research projects through both infrastructure development and hands on technical contribution to data preparation workflows. About the team At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end to end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state of the art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world class researchers, and seeing your innovations deployed at unprecedented scale. Basic Qualifications 5+ years of non internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team Strong software engineering background with full stack development experience Deep understanding of machine learning fundamentals, particularly large scale model training Expertise in distributed systems, cloud computing, and scalable data processing Experience with data pipeline design, ETL processes, and data management systems Proficiency in translating academic concepts into production systems Preferred Qualifications 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Experience with dataset curation and quality assessment techniques Knowledge of computer vision and multimodal data processing Background in research environments or supporting ML research workflows Experience with data visualization and annotation tooling Familiarity with modern data filtering and deduplication methodologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
21 hours ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims. The role involves developing and deploying models for Piai, focusing on machine learning, natural language processing, and generative AI, while collaborating with a diverse team to improve justice outcomes for clients. Responsibilities Model research & prototyping - Explore, implement, and benchmark ML/NLP/generative-AI methods (e.g., LLM fine-tuning, retrieval-augmented generation, document understanding). Data preparation & feature engineering - Clean, annotate, and transform structured and unstructured case data; build reusable datasets and data loaders. Experimentation workflow - Design experiments, run A/B tests, analyze results, and communicate findings to the wider product and engineering teams. Productionization - Help integrate models into our microservices architecture; collaborate with MLOps engineers on packaging, testing, monitoring, and scaling. Cross-functional collaboration - Pair with product managers, legal analysts, and software engineers to translate pain points into ML solutions and measurable product improvements. Continuous learning - Stay current with research in LLMs, representation learning, and prompt engineering; share insights through internal talks and docs. Qualification Required Ph.D. or M.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related field Solid grounding in machine-learning fundamentals (supervised & unsupervised learning, evaluation metrics, overfitting/regularization) Hands-on experience with NLP or generative-AI techniques (e.g., transformers, embeddings, sequence-to-sequence models, LLMs) Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, spaCy, or similar Familiarity with SQL and basic data-engineering concepts (ETL, versioned datasets, notebooks) Eagerness to learn from senior teammates and iterate quickly in a fast-moving startup Clear, concise communication-both written and verbal Strong analytical thinking and a bias toward shipping pragmatic, high-impact solutions Preferred exposure to cloud platforms (AWS/GCP) experiment-tracking tools (Weights & Biases, MLflow) Seniority level Seniority levelEntry level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Machine Learning Engineer" roles. San Francisco, CA $130,000.00-$230,000.00 5 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube San Francisco, CA $140,000.00-$180,000.00 5 months ago San Francisco, CA $140,000.00-$160,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.)Research Engineer - Machine Learning (ML) San Francisco, CA $140,000.00-$160,000.00 4 months ago San Francisco, CA $130,000.00-$238,000.00 2 hours ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $150,000.00-$260,000.00 4 months ago San Francisco, CA $150,000.00-$250,000.00 3 weeks ago San Mateo, CA $140,000.00-$210,000.00 3 weeks ago San Francisco, CA $140,000.00-$290,000.00 7 months ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA $176,000.00-$220,000.00 3 weeks ago San Francisco, CA $190,000.00-$355,000.00 2 weeks ago San Francisco, CA $100,000.00-$300,000.00 2 weeks ago Machine Learning Engineers (Open-Endedness) - Open Level San Francisco, CA $175,000.00-$225,000.00 8 months ago San Francisco, CA $200,000.00-$300,000.00 4 months ago San Francisco, CA $88,000.00-$140,000.00 3 weeks ago Machine Learning Engineer, Identity Product San Francisco, CA $160,000.00-$180,000.00 4 days ago San Francisco, CA $140,000.00-$200,000.00 6 days ago San Mateo, CA $195,000.00-$255,000.00 7 months ago San Francisco, CA $180,000.00-$270,000.00 3 months ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/02/2026
Full time
21 hours ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims. The role involves developing and deploying models for Piai, focusing on machine learning, natural language processing, and generative AI, while collaborating with a diverse team to improve justice outcomes for clients. Responsibilities Model research & prototyping - Explore, implement, and benchmark ML/NLP/generative-AI methods (e.g., LLM fine-tuning, retrieval-augmented generation, document understanding). Data preparation & feature engineering - Clean, annotate, and transform structured and unstructured case data; build reusable datasets and data loaders. Experimentation workflow - Design experiments, run A/B tests, analyze results, and communicate findings to the wider product and engineering teams. Productionization - Help integrate models into our microservices architecture; collaborate with MLOps engineers on packaging, testing, monitoring, and scaling. Cross-functional collaboration - Pair with product managers, legal analysts, and software engineers to translate pain points into ML solutions and measurable product improvements. Continuous learning - Stay current with research in LLMs, representation learning, and prompt engineering; share insights through internal talks and docs. Qualification Required Ph.D. or M.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related field Solid grounding in machine-learning fundamentals (supervised & unsupervised learning, evaluation metrics, overfitting/regularization) Hands-on experience with NLP or generative-AI techniques (e.g., transformers, embeddings, sequence-to-sequence models, LLMs) Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, spaCy, or similar Familiarity with SQL and basic data-engineering concepts (ETL, versioned datasets, notebooks) Eagerness to learn from senior teammates and iterate quickly in a fast-moving startup Clear, concise communication-both written and verbal Strong analytical thinking and a bias toward shipping pragmatic, high-impact solutions Preferred exposure to cloud platforms (AWS/GCP) experiment-tracking tools (Weights & Biases, MLflow) Seniority level Seniority levelEntry level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Machine Learning Engineer" roles. San Francisco, CA $130,000.00-$230,000.00 5 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube San Francisco, CA $140,000.00-$180,000.00 5 months ago San Francisco, CA $140,000.00-$160,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.)Research Engineer - Machine Learning (ML) San Francisco, CA $140,000.00-$160,000.00 4 months ago San Francisco, CA $130,000.00-$238,000.00 2 hours ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $150,000.00-$260,000.00 4 months ago San Francisco, CA $150,000.00-$250,000.00 3 weeks ago San Mateo, CA $140,000.00-$210,000.00 3 weeks ago San Francisco, CA $140,000.00-$290,000.00 7 months ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA $176,000.00-$220,000.00 3 weeks ago San Francisco, CA $190,000.00-$355,000.00 2 weeks ago San Francisco, CA $100,000.00-$300,000.00 2 weeks ago Machine Learning Engineers (Open-Endedness) - Open Level San Francisco, CA $175,000.00-$225,000.00 8 months ago San Francisco, CA $200,000.00-$300,000.00 4 months ago San Francisco, CA $88,000.00-$140,000.00 3 weeks ago Machine Learning Engineer, Identity Product San Francisco, CA $160,000.00-$180,000.00 4 days ago San Francisco, CA $140,000.00-$200,000.00 6 days ago San Mateo, CA $195,000.00-$255,000.00 7 months ago San Francisco, CA $180,000.00-$270,000.00 3 months ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Overview Equilibrium Energy is a team of technologists, power market experts, and AI pioneers reimagining how the world's most critical industry operates. We're building a first-of-its-kind AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. At EQ, you'll join a tight-knit group of brilliant, curious, and adventurous people who bring the same energy to collaboration as they do to innovation. Equilibrium Energy is a well-funded, Series B clean energy startup backed by prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise with a commitment to modern digital approaches. We are collaborative, talented, passionate, and resourceful, and we aim to lay the foundation for our important mission and ambitious plan. What we are looking for Equilibrium Energy is building the platform that will power the clean energy transition. As a Staff/ Sr Staff Software Engineer- Data Engineering, you will play a critical role in shaping our long-term data architecture. You'll lead the design and implementation of high-impact data initiatives that support energy trading, forecasting, and AI development. This is a hands-on role that blends platform engineering, advanced data processing, and cross-functional collaboration. You'll help scale our systems to enable near real-time decision-making and empower traders, data scientists, and operators to move faster with confidence. What you will do Design and implement the long-term data architecture using modern technologies and frameworks. Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt-ingesting data via APIs, web scraping, and streaming sources. Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster. Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store. Optimize workflows for performance and cost efficiency. Drive large, cross-functional data initiatives from planning to execution. Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics. Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products. Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design. Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing. Minimum qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field. 7+ years of progressive experience in data or software engineering. Advanced programming skills in Python and SQL. Experience building globally distributed data systems and real-time pipelines. Hands-on with orchestration/stream processing tools like Temporal, Dagster, Airflow, Spark, or Kafka. Strong knowledge of relational and NoSQL databases (e.g., Postgres, MySQL, MongoDB, ElasticSearch, Cassandra). Familiarity with data warehousing and cloud computing (Databricks and AWS preferred). Experience mentoring engineers and providing architectural direction. Strong analytical skills, with the ability to work with unstructured or ambiguous datasets. Commitment to data quality, testing, and observability. Experience with both OLTP and OLAP data processing systems. Nice to have additional skills Experience with energy market data or weather data sources (e.g., NWS, NOAA, Yes Energy). Experience using dbt for transformations and data quality checks. Collaborating with data science teams to build and productionize ML pipelines. Familiarity with DataOps practices and CI/CD for data workflows. Knowledge of real-time data technologies, graph databases, or unstructured data processing. Understanding of power systems, grid operations, or financial aspects of energy trading. Not sure this is the right role for you? We are a high growth company with accelerating hiring needs so there's a great chance we'll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. What we offer Equilibrium is composed of deeply knowledgeable industry experts across all functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. We are now designing components better and in a holistic and novel way to achieve global scale and climate impact. We pride ourselves on our empathetic and collaborative culture, honest and direct but respectful communication, and a balanced, flexible, and remote-first work environment. Employee benefits include: Competitive base salary and a comprehensive medical, dental, vision, and 401k package Opportunity to own a significant piece of the company via a meaningful equity grant Unlimited vacation and flexible work schedule Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.
04/02/2026
Full time
Overview Equilibrium Energy is a team of technologists, power market experts, and AI pioneers reimagining how the world's most critical industry operates. We're building a first-of-its-kind AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. At EQ, you'll join a tight-knit group of brilliant, curious, and adventurous people who bring the same energy to collaboration as they do to innovation. Equilibrium Energy is a well-funded, Series B clean energy startup backed by prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise with a commitment to modern digital approaches. We are collaborative, talented, passionate, and resourceful, and we aim to lay the foundation for our important mission and ambitious plan. What we are looking for Equilibrium Energy is building the platform that will power the clean energy transition. As a Staff/ Sr Staff Software Engineer- Data Engineering, you will play a critical role in shaping our long-term data architecture. You'll lead the design and implementation of high-impact data initiatives that support energy trading, forecasting, and AI development. This is a hands-on role that blends platform engineering, advanced data processing, and cross-functional collaboration. You'll help scale our systems to enable near real-time decision-making and empower traders, data scientists, and operators to move faster with confidence. What you will do Design and implement the long-term data architecture using modern technologies and frameworks. Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt-ingesting data via APIs, web scraping, and streaming sources. Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster. Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store. Optimize workflows for performance and cost efficiency. Drive large, cross-functional data initiatives from planning to execution. Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics. Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products. Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design. Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing. Minimum qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field. 7+ years of progressive experience in data or software engineering. Advanced programming skills in Python and SQL. Experience building globally distributed data systems and real-time pipelines. Hands-on with orchestration/stream processing tools like Temporal, Dagster, Airflow, Spark, or Kafka. Strong knowledge of relational and NoSQL databases (e.g., Postgres, MySQL, MongoDB, ElasticSearch, Cassandra). Familiarity with data warehousing and cloud computing (Databricks and AWS preferred). Experience mentoring engineers and providing architectural direction. Strong analytical skills, with the ability to work with unstructured or ambiguous datasets. Commitment to data quality, testing, and observability. Experience with both OLTP and OLAP data processing systems. Nice to have additional skills Experience with energy market data or weather data sources (e.g., NWS, NOAA, Yes Energy). Experience using dbt for transformations and data quality checks. Collaborating with data science teams to build and productionize ML pipelines. Familiarity with DataOps practices and CI/CD for data workflows. Knowledge of real-time data technologies, graph databases, or unstructured data processing. Understanding of power systems, grid operations, or financial aspects of energy trading. Not sure this is the right role for you? We are a high growth company with accelerating hiring needs so there's a great chance we'll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. What we offer Equilibrium is composed of deeply knowledgeable industry experts across all functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. We are now designing components better and in a holistic and novel way to achieve global scale and climate impact. We pride ourselves on our empathetic and collaborative culture, honest and direct but respectful communication, and a balanced, flexible, and remote-first work environment. Employee benefits include: Competitive base salary and a comprehensive medical, dental, vision, and 401k package Opportunity to own a significant piece of the company via a meaningful equity grant Unlimited vacation and flexible work schedule Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.
Join to apply for the Senior Data Scientist role at Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the Senior Data Scientist role at Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. As a founding Data Scientist on the Strategic Finance Data Science team, you will design and implement critical models and analyses to support strategic decision-making and resource allocation across the organization. Responsibilities: • Become an expert in OpenAI's data and systems. Partnering with Data Engineering, Finance, and other teams, you'll self-serve data to derive critical insights. • Scale causal inference models to measure the impact of different actions on user growth and financial outcomes. • Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value. • Automate standardized reporting and analysis by building data products or agentic solutions. • Support product pricing and other business decisions with ad hoc analysis. • Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making. • Manage and lead cross-functional data science projects end-to-end. Qualifications: Required: • MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization. • Proficiency in Python, SQL, Tableau, and other analytical tools. • Strong analytical skills and experience working with large, complex data sets. • Proven ability to distill complex data into actionable insights for leadership. • Ability to independently initiate and complete projects, owning them end-to-end. • Excellent communication and storytelling skills when presenting data insights. • Exceptional attention to detail and a commitment to accuracy. Preferred: • You're an enthusiastic self-starter who thrives in fast-paced, dynamic environments. • You're a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed. • You're passionate about technology and artificial intelligence. • You use first-principles thinking to design solutions from the ground up based on user needs and operational realities. Company: OpenAI creates artificial intelligence technologies to assist with tasks and provide support for human activities. Founded in 2015, the company is headquartered in San Francisco, California, USA, with a team of 201-500 employees. The company is currently Growth Stage. OpenAI has a track record of offering H1B sponsorships. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in San Francisco, CA . San Francisco, CA $140,000.00-$170,000.00 3 days ago San Francisco, CA $140,000.00-$170,000.00 2 weeks ago San Francisco, CA $121,900.00-$161,600.00 4 days ago San Francisco, CA $150,000.00-$160,000.00 2 weeks ago San Francisco, CA $255,000.00-$405,000.00 3 days ago San Francisco, CA $122,000.00-$167,000.00 5 days ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $190,000.00-$230,000.00 3 weeks ago San Francisco, CA $144,000.00-$192,000.00 3 weeks ago San Francisco, CA $85,000.00-$120,000.00 3 hours ago South San Francisco, CA $54.00-$97.00 2 weeks ago San Bruno, CA $119,000.00-$169,000.00 2 months ago San Francisco, CA $115,000.00-$185,000.00 3 weeks ago Data Scientist II - Experimentation & Measurement San Mateo, CA $153,300.00-$229,900.00 2 weeks ago San Francisco, CA $149,998.00-$250,000.00 6 days ago San Francisco County, CA $180,000.00-$250,000. hours ago San Francisco, CA $90,000.00-$150,000.00 1 month ago San Francisco, CA $152,000.00-$190,000.00 2 weeks ago San Francisco, CA $100,000.00-$200,000.00 7 months ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/02/2026
Full time
Join to apply for the Senior Data Scientist role at Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the Senior Data Scientist role at Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. As a founding Data Scientist on the Strategic Finance Data Science team, you will design and implement critical models and analyses to support strategic decision-making and resource allocation across the organization. Responsibilities: • Become an expert in OpenAI's data and systems. Partnering with Data Engineering, Finance, and other teams, you'll self-serve data to derive critical insights. • Scale causal inference models to measure the impact of different actions on user growth and financial outcomes. • Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value. • Automate standardized reporting and analysis by building data products or agentic solutions. • Support product pricing and other business decisions with ad hoc analysis. • Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making. • Manage and lead cross-functional data science projects end-to-end. Qualifications: Required: • MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization. • Proficiency in Python, SQL, Tableau, and other analytical tools. • Strong analytical skills and experience working with large, complex data sets. • Proven ability to distill complex data into actionable insights for leadership. • Ability to independently initiate and complete projects, owning them end-to-end. • Excellent communication and storytelling skills when presenting data insights. • Exceptional attention to detail and a commitment to accuracy. Preferred: • You're an enthusiastic self-starter who thrives in fast-paced, dynamic environments. • You're a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed. • You're passionate about technology and artificial intelligence. • You use first-principles thinking to design solutions from the ground up based on user needs and operational realities. Company: OpenAI creates artificial intelligence technologies to assist with tasks and provide support for human activities. Founded in 2015, the company is headquartered in San Francisco, California, USA, with a team of 201-500 employees. The company is currently Growth Stage. OpenAI has a track record of offering H1B sponsorships. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in San Francisco, CA . San Francisco, CA $140,000.00-$170,000.00 3 days ago San Francisco, CA $140,000.00-$170,000.00 2 weeks ago San Francisco, CA $121,900.00-$161,600.00 4 days ago San Francisco, CA $150,000.00-$160,000.00 2 weeks ago San Francisco, CA $255,000.00-$405,000.00 3 days ago San Francisco, CA $122,000.00-$167,000.00 5 days ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $190,000.00-$230,000.00 3 weeks ago San Francisco, CA $144,000.00-$192,000.00 3 weeks ago San Francisco, CA $85,000.00-$120,000.00 3 hours ago South San Francisco, CA $54.00-$97.00 2 weeks ago San Bruno, CA $119,000.00-$169,000.00 2 months ago San Francisco, CA $115,000.00-$185,000.00 3 weeks ago Data Scientist II - Experimentation & Measurement San Mateo, CA $153,300.00-$229,900.00 2 weeks ago San Francisco, CA $149,998.00-$250,000.00 6 days ago San Francisco County, CA $180,000.00-$250,000. hours ago San Francisco, CA $90,000.00-$150,000.00 1 month ago San Francisco, CA $152,000.00-$190,000.00 2 weeks ago San Francisco, CA $100,000.00-$200,000.00 7 months ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Location: Remote US Employment Type: Full time Location Type: Remote Department: TechEngineering Compensation $150K - $170K Offers Equity The base salary & equity offered for this position will depend on several factors, including location, experience, qualifications and business needs which are assessed during the interview process. Who We Are At TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media. With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang, and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. We are a global company that values the uniqueness of each person's journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. About The Role As part of our Government pod, you'll help deliver TwelveLabs' video-language models (Pegasus and Marengo) and our indexing and agentic platform into highly protected GovCloud or fully air-gapped deployments. The work blends deep engineering with security and compliance: designing to the FedRAMP and Department of Defense Cloud Security Requirements Guide (DoD SRG) Impact Levels. You'll build for constrained networks & hardware, rigorous supply-chain practices, and high-reliability operations. This role requires eligibility for a US security clearance; active clearances are a plus. We're looking for a Full Stack Engineer with strong backend expertise and solid frontend skills to join our team. You'll play a key role in designing, building, and scaling systems that power our platform end-to-end - from robust APIs and data pipelines to intuitive user interfaces. In this role, you will Backend Systems & APIs: Design and implement scalable RESTful APIs (OpenAPI-compliant) that power features such as indexing, search and video analysis, integrating with model inference pipelines. System Architecture: Architect and optimize high-throughput, service-oriented backend systems for enterprise-grade SaaS to ensure low latency, high availability, and scalability. Frontend Development: Design and develop responsive, high-performance frontend applications using modern frameworks (React, Next.js), ensuring seamless integration with backend services. Cross-Functional Collaboration: Partner with Machine Learning engineers, Infrastructure Engineers and Forward Deployed Engineers to deliver end-to-end solutions, ensuring smooth integration between backend systems, AI pipelines, and user interfaces. Quality & Standards: Drive adherence to coding standards, best practices, and optimization techniques across the stack, delivering high-quality, reliable, and maintainable systems. Required Experience You may be a good fit if you have: 6+ years of professional full stack software engineering experience building applications and tools for government customers, with features such as auditable workflows, secure authentication, and role-based access controls. Backend: Deep knowledge of service-oriented architecture (SOA), RESTful APIs, microservices, and distributed systems. Strong understanding of scalable database design (relational and NoSQL). Frontend: Experience with modern frontend frameworks, including React, Next.js, React Query, and TypeScript. Experience building responsive UIs using CSS frameworks (Tailwind) and component libraries (Material UI). Infra: Familiar with Docker, Kubernetes, and infrastructure scaling. Exposure to IaC tools (ex. Terraform), and observability tools (ex. Prometheus, Grafana). Government & Security-Specific Expertise: Experience deploying with GovCloud or air-gapped environments. Familiarity with RBAC, LDAP, and government SSO standards. Eligibility for U.S. Security Clearance. Collaboration & Mindset Strong analytical, problem-solving, and first-principles thinking for tackling complex technical challenges. Exceptional communication skills, able to clearly articulate technical concepts to technical and non-technical stakeholders. Thrives in agile, fast-paced environments, demonstrating adaptability, resilience, and a strong ownership mindset. Preferred Qualifications Active Government Security Clearance Hands-on experience with video technologies (FFmpeg, AWS Media Services) and integrating backend systems with AI/ML pipelines for video analysis (e.g., object detection, motion tracking, summarization). Startup Agility: Experience thriving in fast-paced startup environments, with a demonstrated ability to adapt quickly and deliver results with agility. Even if there are a few checkboxes that aren't ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. Benefits And Perks ? An open and inclusive culture and work environment. Work closely with a collaborative, mission-driven team on cutting-edge AI technology. ? Full health, dental, and vision benefits. ️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. ? VISA support (such as H1B and OPT transfer for US employees).
04/02/2026
Full time
Location: Remote US Employment Type: Full time Location Type: Remote Department: TechEngineering Compensation $150K - $170K Offers Equity The base salary & equity offered for this position will depend on several factors, including location, experience, qualifications and business needs which are assessed during the interview process. Who We Are At TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media. With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang, and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. We are a global company that values the uniqueness of each person's journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. About The Role As part of our Government pod, you'll help deliver TwelveLabs' video-language models (Pegasus and Marengo) and our indexing and agentic platform into highly protected GovCloud or fully air-gapped deployments. The work blends deep engineering with security and compliance: designing to the FedRAMP and Department of Defense Cloud Security Requirements Guide (DoD SRG) Impact Levels. You'll build for constrained networks & hardware, rigorous supply-chain practices, and high-reliability operations. This role requires eligibility for a US security clearance; active clearances are a plus. We're looking for a Full Stack Engineer with strong backend expertise and solid frontend skills to join our team. You'll play a key role in designing, building, and scaling systems that power our platform end-to-end - from robust APIs and data pipelines to intuitive user interfaces. In this role, you will Backend Systems & APIs: Design and implement scalable RESTful APIs (OpenAPI-compliant) that power features such as indexing, search and video analysis, integrating with model inference pipelines. System Architecture: Architect and optimize high-throughput, service-oriented backend systems for enterprise-grade SaaS to ensure low latency, high availability, and scalability. Frontend Development: Design and develop responsive, high-performance frontend applications using modern frameworks (React, Next.js), ensuring seamless integration with backend services. Cross-Functional Collaboration: Partner with Machine Learning engineers, Infrastructure Engineers and Forward Deployed Engineers to deliver end-to-end solutions, ensuring smooth integration between backend systems, AI pipelines, and user interfaces. Quality & Standards: Drive adherence to coding standards, best practices, and optimization techniques across the stack, delivering high-quality, reliable, and maintainable systems. Required Experience You may be a good fit if you have: 6+ years of professional full stack software engineering experience building applications and tools for government customers, with features such as auditable workflows, secure authentication, and role-based access controls. Backend: Deep knowledge of service-oriented architecture (SOA), RESTful APIs, microservices, and distributed systems. Strong understanding of scalable database design (relational and NoSQL). Frontend: Experience with modern frontend frameworks, including React, Next.js, React Query, and TypeScript. Experience building responsive UIs using CSS frameworks (Tailwind) and component libraries (Material UI). Infra: Familiar with Docker, Kubernetes, and infrastructure scaling. Exposure to IaC tools (ex. Terraform), and observability tools (ex. Prometheus, Grafana). Government & Security-Specific Expertise: Experience deploying with GovCloud or air-gapped environments. Familiarity with RBAC, LDAP, and government SSO standards. Eligibility for U.S. Security Clearance. Collaboration & Mindset Strong analytical, problem-solving, and first-principles thinking for tackling complex technical challenges. Exceptional communication skills, able to clearly articulate technical concepts to technical and non-technical stakeholders. Thrives in agile, fast-paced environments, demonstrating adaptability, resilience, and a strong ownership mindset. Preferred Qualifications Active Government Security Clearance Hands-on experience with video technologies (FFmpeg, AWS Media Services) and integrating backend systems with AI/ML pipelines for video analysis (e.g., object detection, motion tracking, summarization). Startup Agility: Experience thriving in fast-paced startup environments, with a demonstrated ability to adapt quickly and deliver results with agility. Even if there are a few checkboxes that aren't ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. Benefits And Perks ? An open and inclusive culture and work environment. Work closely with a collaborative, mission-driven team on cutting-edge AI technology. ? Full health, dental, and vision benefits. ️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. ? VISA support (such as H1B and OPT transfer for US employees).
Job Title Principal Data Scientist Company Capital One Location McLean, VA Job Description As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Responsibilities Partner with a cross functional team of data scientists, software engineers, and product managers to deliver a product customers love. Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Ideal Candidate Customer first - you love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Creative - you thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical - you're comfortable with open source languages and are passionate about developing further. You have hands on experience developing data science solutions using open source tools and cloud computing platforms. A data guru - "big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics. A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics. A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field). Preferred Qualifications Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics). At least 1 year of experience working with AWS. At least 3 years' experience in Python, Scala, or R. At least 3 years' experience with machine learning. At least 3 years' experience with SQL. Salary McLean, VA: $158,600 - $181,000 per year. Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well being. Learn more at the Employment Eligibility Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Equal Opportunity Employer Statement Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
04/02/2026
Full time
Job Title Principal Data Scientist Company Capital One Location McLean, VA Job Description As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Responsibilities Partner with a cross functional team of data scientists, software engineers, and product managers to deliver a product customers love. Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Ideal Candidate Customer first - you love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Creative - you thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical - you're comfortable with open source languages and are passionate about developing further. You have hands on experience developing data science solutions using open source tools and cloud computing platforms. A data guru - "big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics. A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics. A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field). Preferred Qualifications Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics). At least 1 year of experience working with AWS. At least 3 years' experience in Python, Scala, or R. At least 3 years' experience with machine learning. At least 3 years' experience with SQL. Salary McLean, VA: $158,600 - $181,000 per year. Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well being. Learn more at the Employment Eligibility Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Equal Opportunity Employer Statement Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
Location San Francisco Employment Type Full time Location Type On-site Department Tech Engineering Compensation $247.8K - $297.6K At Watershed, we strive to design consistent, fair, and competitive compensation programs. The total cash compensation range may be inclusive of several levels at Watershed and final offer will be determined by a number of factors, including the candidate's skills, capabilities, and location, as well as scope of the role. The anticipated cash compensation range is in addition to a total rewards benefit package including equity, health/dental/vision insurance, 401(k), unlimited paid time off, paid parental leave, fertility, and mental health programs, etc. About Watershed Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team. We have offices in San Francisco, New York, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us! The role We're looking for a seasoned machine learning engineer specializing in AI to join our team. You will be a technical leader in helping us build a world class AI tools for companies to measure and reduce their carbon emissions. You'll leverage LLMs, embeddings, and other AI technologies to deliver features to our customers, and help lay the technical foundations for AI at Watershed. In this role you will: Prototype, develop and iterate on new product areas for Watershed, giving our customers powerful AI tools for transforming data and identifying ways to reduce their emissions Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data Collaborate with product and other AI engineering teams to set product and technical strategy Build evals, fine tune, create agent harnesses to build reliable AI powered systems Keep up with developments and state-of-the-art in AI to determine what is relevant to Watershed Write performant, well-crafted, tested, and maintainable code across our technical stack You might be a good fit if you have: 8+ years of experience in Machine Learning / AI engineering Experience building products using LLMs, embeddings and other ML technologies Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies Experience leading cross functional teams in an innovative fast moving environment A strong foundational understanding of machine learning models and practice, including model evaluation and performance Strong full-stack development skills Must be willing to work from an office 4 days per week (except for remote roles) Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so. What's the interview process like? It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process. What if I need accommodations for my interview? At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter. Compensation Range: $247.8K - $297.6K
04/02/2026
Full time
Location San Francisco Employment Type Full time Location Type On-site Department Tech Engineering Compensation $247.8K - $297.6K At Watershed, we strive to design consistent, fair, and competitive compensation programs. The total cash compensation range may be inclusive of several levels at Watershed and final offer will be determined by a number of factors, including the candidate's skills, capabilities, and location, as well as scope of the role. The anticipated cash compensation range is in addition to a total rewards benefit package including equity, health/dental/vision insurance, 401(k), unlimited paid time off, paid parental leave, fertility, and mental health programs, etc. About Watershed Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team. We have offices in San Francisco, New York, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us! The role We're looking for a seasoned machine learning engineer specializing in AI to join our team. You will be a technical leader in helping us build a world class AI tools for companies to measure and reduce their carbon emissions. You'll leverage LLMs, embeddings, and other AI technologies to deliver features to our customers, and help lay the technical foundations for AI at Watershed. In this role you will: Prototype, develop and iterate on new product areas for Watershed, giving our customers powerful AI tools for transforming data and identifying ways to reduce their emissions Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data Collaborate with product and other AI engineering teams to set product and technical strategy Build evals, fine tune, create agent harnesses to build reliable AI powered systems Keep up with developments and state-of-the-art in AI to determine what is relevant to Watershed Write performant, well-crafted, tested, and maintainable code across our technical stack You might be a good fit if you have: 8+ years of experience in Machine Learning / AI engineering Experience building products using LLMs, embeddings and other ML technologies Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies Experience leading cross functional teams in an innovative fast moving environment A strong foundational understanding of machine learning models and practice, including model evaluation and performance Strong full-stack development skills Must be willing to work from an office 4 days per week (except for remote roles) Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so. What's the interview process like? It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process. What if I need accommodations for my interview? At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter. Compensation Range: $247.8K - $297.6K
Software Engineering Manager - Desktop and Embedded Linux Optimisation Join to apply for the Software Engineering Manager - Desktop and Embedded Linux Optimisation role at Canonical Continue with Google Continue with Google Software Engineering Manager - Desktop and Embedded Linux Optimisation 4 months ago Be among the first 25 applicants Join to apply for the Software Engineering Manager - Desktop and Embedded Linux Optimisation role at Canonical We work closely with major silicon companies to optimise Ubuntu for their latest hardware. As a software engineering manager you need to bring both technical and management skills to the leadership of your team. You will be leading an engineering team that works across the full Linux stack from kernel to GUI, to optimise Ubuntu, the world's most widely used Linux desktop and server, for the latest silicon. You will also represent the team in direct partner engagement as well as ensuring timely delivery on agreed project milestones. As an engineering manager at Canonical your primary responsibility is to the people you support: ensuring that they are growing as engineers, doing valuable work, and generally having a great time at Canonical. As a lead for strong engineers, technical leadership and a solid background in software development is a must, so that you're able to challenge and grow your team members. You will have the opportunity to influence the culture, facilitate technical delivery, and work with your team on strategy and execution. What you'll do Lead a team of distributed engineers to design and implement the best Ubuntu integration for the latest IoT and server-class hardware platforms and software stacks Engage with commercial partners to deliver a delightful, optimised, first class Ubuntu experience on their platforms Develop your team through coaching, mentoring, leading by example, and feedback Oversee commercial engagements and support timely delivery on agreed project milestones Ensure an ongoing commitment to strict quality and reliability standards Engage with other teams at Canonical to ensure alignment on product architecture and roadmaps Work from home with global travel up to twice a year for up to two weeks Who you are You have worked with Linux distributions, debian packaging and high performance, server-class hardware You have experience working directly with customers, resolving their technical issues, interpreting their business challenges and effectively communicating how your solution will meet their needs You have demonstrated experience managing or leading a team of software engineers You have understanding of agile software development methodologies You collaborate effectively across multiple internal teams, building trust and delivering results You have effective communications skills in English, both written and oral You have a bachelor's (or equivalent university level) degree, preferably in a technology field What Canonical offers Learning and Development opportunities Annual Compensation Review Recognition Rewards Annual Leave Priority Pass for travel We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Canonical by 2x Get notified about new Software Engineering Manager jobs in San Jose, CA . 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Experts add insights directly into each article, started with the help of AI.
04/02/2026
Full time
Software Engineering Manager - Desktop and Embedded Linux Optimisation Join to apply for the Software Engineering Manager - Desktop and Embedded Linux Optimisation role at Canonical Continue with Google Continue with Google Software Engineering Manager - Desktop and Embedded Linux Optimisation 4 months ago Be among the first 25 applicants Join to apply for the Software Engineering Manager - Desktop and Embedded Linux Optimisation role at Canonical We work closely with major silicon companies to optimise Ubuntu for their latest hardware. As a software engineering manager you need to bring both technical and management skills to the leadership of your team. You will be leading an engineering team that works across the full Linux stack from kernel to GUI, to optimise Ubuntu, the world's most widely used Linux desktop and server, for the latest silicon. You will also represent the team in direct partner engagement as well as ensuring timely delivery on agreed project milestones. As an engineering manager at Canonical your primary responsibility is to the people you support: ensuring that they are growing as engineers, doing valuable work, and generally having a great time at Canonical. As a lead for strong engineers, technical leadership and a solid background in software development is a must, so that you're able to challenge and grow your team members. You will have the opportunity to influence the culture, facilitate technical delivery, and work with your team on strategy and execution. What you'll do Lead a team of distributed engineers to design and implement the best Ubuntu integration for the latest IoT and server-class hardware platforms and software stacks Engage with commercial partners to deliver a delightful, optimised, first class Ubuntu experience on their platforms Develop your team through coaching, mentoring, leading by example, and feedback Oversee commercial engagements and support timely delivery on agreed project milestones Ensure an ongoing commitment to strict quality and reliability standards Engage with other teams at Canonical to ensure alignment on product architecture and roadmaps Work from home with global travel up to twice a year for up to two weeks Who you are You have worked with Linux distributions, debian packaging and high performance, server-class hardware You have experience working directly with customers, resolving their technical issues, interpreting their business challenges and effectively communicating how your solution will meet their needs You have demonstrated experience managing or leading a team of software engineers You have understanding of agile software development methodologies You collaborate effectively across multiple internal teams, building trust and delivering results You have effective communications skills in English, both written and oral You have a bachelor's (or equivalent university level) degree, preferably in a technology field What Canonical offers Learning and Development opportunities Annual Compensation Review Recognition Rewards Annual Leave Priority Pass for travel We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Canonical by 2x Get notified about new Software Engineering Manager jobs in San Jose, CA . 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Overview About this opportunity: This position needs to be located in one of the following areas: Boise, Santa Clara, Plano, or EST preferred. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's working on EAD for this position. Grow with us About this opportunity: This position needs to be located in one of the following areas: Boise, Santa Clara, Plano, or EST preferred. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's working on EAD for this position. We are seeking an experienced and motivated Senior Product Manager to define and execute the product strategy for AI-driven solutions within our cloud management platform (NetCloud), with a focus on Private 5G and enterprise wireless use cases. This role is part of a team responsible for introducing and accelerating new technology adoption and delivering high-value capabilities that solve operational challenges for customers. Why Join Us? This is a high-impact, high-visibility role at the intersection of three transformative technologies today: AI, Cloud, and Wireless. You will have the opportunity to shape a growing product category and directly enable business transformation of top-tier global enterprises. What You Will Do Product Strategy & Vision: Define the strategic roadmap and product vision for leveraging AI/ML to enhance the management, orchestration, monitoring, and optimization of private 5G networks and other enterprise wireless/networking infrastructure within the cloud platform. Customer & Market Insight: Deeply understand the challenges faced by network operators, IT teams, and developers managing private 5G and enterprise edge infrastructure. Conduct competitive analysis and market research to identify opportunities for differentiation through AI. Feature Definition & Execution: Translate market needs and technical possibilities into detailed product requirements and acceptance criteria. Prioritize the backlog to maximize customer value and business impact. Go-to-Market (GTM) Strategy: Collaborate closely with Marketing, Sales, and Solutions Engineering to develop compelling messaging, sales enablement materials, and GTM plans for new AI-powered features. Cross-Functional Leadership: Serve as the product owner, working with Engineering, Data Science, UX/UI, Architecture, Compliance/Legal, and other teams to guide the entire product lifecycle from ideation to launch and iteration. Technical Translator: Act as the bridge between cutting-edge AI research/engineering and customer-facing product value, ensuring AI models and data pipelines are integrated into the product in a meaningful, scalable, cost-effective, and secure way. Business Performance: Define and track key performance indicators (KPIs) related to AI feature adoption, customer value, and overall product success. The Skills You Bring 5+ years of professional experience, with a minimum of 3+ years in a Product Management role defining and launching enterprise software or cloud services. Communication & Influence: Exceptional written and verbal communication skills, including the ability to articulate strategic vision cross-functionally, clarify technical nuance and implementation requirements with R&D, and translate technical concepts to a non-technical audience (executives, sales, customers). This is the single most important skill for this job. Please acknowledge this emphasis. Very strong communication skills are essential. Deep Expertise in Enterprise Networking/Wireless: Solid understanding of enterprise networking concepts, including experience with mobile wireless network infrastructure, RAN, Core, User Equipment (UE), routers, and switches. Specific experience with Private 5G or enterprise LTE is a significant plus. Experience with AI/ML Products: Proven track record of defining and launching products or features that rely on machine learning, predictive analytics, or large-scale data processing (e.g., AIOps, predictive maintenance, resource optimization). Cloud Platform Experience: Familiarity with major public cloud providers (AWS, Azure, GCP) or experience with large-scale cloud management or orchestration platforms (e.g., Kubernetes, OpenStack, cloud-native infrastructure). Technical Acumen: Ability to engage in detailed technical discussions with data scientists and engineers regarding model performance, data requirements, and deployment architectures. Education: Bachelor's degree, preferably in an area of technical competence (Computer Science, Engineering, Data Science, etc). An Advanced degree or MBA is a plus. Why join Ericsson? At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at . DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: United States (US) Boise (ID) (Country/ City) Job details: Product Portfolio Management Compensation And Benefits at Ericsson At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals. Your Pay The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience. Santa Clara CA, New York, NJ, DC: $126,400-165,900. Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit's objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply. Your Health Ericsson Enterprise Wireless Solutions offers excellent, competitive employee benefits, such as: subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution. For California employees, we offer a subsidized HMO option through Kaiser. Ericsson Enterprise Wireless Solutions also offers subsidized dental and vision coverage. Your Financial Security We invest in both your short and long-term financial wellbeing. Our 401(k) plan has a 4% company match and immediate vesting. Employees will also receive company-paid employee basic life and AD&D insurance and company-paid disability benefits. Your Time Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee's start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay. Additional Benefits Ericsson Enterprise Wireless Solutions offers other company-paid benefits such as a comprehensive Employee Assistance Program, mobile therapy, and volunteer paid time off.
04/02/2026
Full time
Overview About this opportunity: This position needs to be located in one of the following areas: Boise, Santa Clara, Plano, or EST preferred. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's working on EAD for this position. Grow with us About this opportunity: This position needs to be located in one of the following areas: Boise, Santa Clara, Plano, or EST preferred. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's working on EAD for this position. We are seeking an experienced and motivated Senior Product Manager to define and execute the product strategy for AI-driven solutions within our cloud management platform (NetCloud), with a focus on Private 5G and enterprise wireless use cases. This role is part of a team responsible for introducing and accelerating new technology adoption and delivering high-value capabilities that solve operational challenges for customers. Why Join Us? This is a high-impact, high-visibility role at the intersection of three transformative technologies today: AI, Cloud, and Wireless. You will have the opportunity to shape a growing product category and directly enable business transformation of top-tier global enterprises. What You Will Do Product Strategy & Vision: Define the strategic roadmap and product vision for leveraging AI/ML to enhance the management, orchestration, monitoring, and optimization of private 5G networks and other enterprise wireless/networking infrastructure within the cloud platform. Customer & Market Insight: Deeply understand the challenges faced by network operators, IT teams, and developers managing private 5G and enterprise edge infrastructure. Conduct competitive analysis and market research to identify opportunities for differentiation through AI. Feature Definition & Execution: Translate market needs and technical possibilities into detailed product requirements and acceptance criteria. Prioritize the backlog to maximize customer value and business impact. Go-to-Market (GTM) Strategy: Collaborate closely with Marketing, Sales, and Solutions Engineering to develop compelling messaging, sales enablement materials, and GTM plans for new AI-powered features. Cross-Functional Leadership: Serve as the product owner, working with Engineering, Data Science, UX/UI, Architecture, Compliance/Legal, and other teams to guide the entire product lifecycle from ideation to launch and iteration. Technical Translator: Act as the bridge between cutting-edge AI research/engineering and customer-facing product value, ensuring AI models and data pipelines are integrated into the product in a meaningful, scalable, cost-effective, and secure way. Business Performance: Define and track key performance indicators (KPIs) related to AI feature adoption, customer value, and overall product success. The Skills You Bring 5+ years of professional experience, with a minimum of 3+ years in a Product Management role defining and launching enterprise software or cloud services. Communication & Influence: Exceptional written and verbal communication skills, including the ability to articulate strategic vision cross-functionally, clarify technical nuance and implementation requirements with R&D, and translate technical concepts to a non-technical audience (executives, sales, customers). This is the single most important skill for this job. Please acknowledge this emphasis. Very strong communication skills are essential. Deep Expertise in Enterprise Networking/Wireless: Solid understanding of enterprise networking concepts, including experience with mobile wireless network infrastructure, RAN, Core, User Equipment (UE), routers, and switches. Specific experience with Private 5G or enterprise LTE is a significant plus. Experience with AI/ML Products: Proven track record of defining and launching products or features that rely on machine learning, predictive analytics, or large-scale data processing (e.g., AIOps, predictive maintenance, resource optimization). Cloud Platform Experience: Familiarity with major public cloud providers (AWS, Azure, GCP) or experience with large-scale cloud management or orchestration platforms (e.g., Kubernetes, OpenStack, cloud-native infrastructure). Technical Acumen: Ability to engage in detailed technical discussions with data scientists and engineers regarding model performance, data requirements, and deployment architectures. Education: Bachelor's degree, preferably in an area of technical competence (Computer Science, Engineering, Data Science, etc). An Advanced degree or MBA is a plus. Why join Ericsson? At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at . DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: United States (US) Boise (ID) (Country/ City) Job details: Product Portfolio Management Compensation And Benefits at Ericsson At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals. Your Pay The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience. Santa Clara CA, New York, NJ, DC: $126,400-165,900. Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit's objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply. Your Health Ericsson Enterprise Wireless Solutions offers excellent, competitive employee benefits, such as: subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution. For California employees, we offer a subsidized HMO option through Kaiser. Ericsson Enterprise Wireless Solutions also offers subsidized dental and vision coverage. Your Financial Security We invest in both your short and long-term financial wellbeing. Our 401(k) plan has a 4% company match and immediate vesting. Employees will also receive company-paid employee basic life and AD&D insurance and company-paid disability benefits. Your Time Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee's start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay. Additional Benefits Ericsson Enterprise Wireless Solutions offers other company-paid benefits such as a comprehensive Employee Assistance Program, mobile therapy, and volunteer paid time off.
Join to apply for the Sr. Manager, Security Product Research role at Corelight. Do you want to help make the world safe from cyber attack? At Corelight, we believe that the best approach to cybersecurity risk starts with the network. Attackers can evade endpoint detection, firewalls and many other technologies - but they can't avoid leaving digital footprints on the networks they traverse. Built on open-source innovations from Zeek, Suricata and YARA and refined through years of real-world use, Corelight transforms network footprints from physical, virtual and cloud networks into actionable insights. Our customers use these insights to speed incident response and proactively hunt for threats. We are building a world class and uniquely targeted team to drive security product research through rapid prototyping and testing. The ideal candidate will use their strong analytical skills and awareness of network and cloud security data to drive novel, fast, and effective security product prototypes using the latest technology. Corelight is uniquely positioned to forge the path for network detection and response, you will have the opportunity to contribute to this future through the expansive bounds of this position. You will be able to look back a year from now and say two things with pride: first, "I helped to build that." and second, "We are generating insights that no one else in the world has achieved." As the leader of Corelight's Security Product Prototype team, you will work closely with product leaders, engineering, and network security experts to explore, design, test, and build prototype solutions for challenging network security problems. You will play a crucial role in defining the art of the possible for future products at Corelight and defining the standard for network detection in cyber security. Responsibilities Drive innovation across Corelight through thought leadership. Act as a leader and technical SME within the Product organization. Lead early prototype development of the next generation of products at Corelight through the use of rapid prototyping, testing and proof of concepts. Work closely with product leaders, security researchers, and engineering leaders on the next generation of network security products. Leveraging existing capabilities, find ways to improve customer usability, deployment and consumption of Corelight products. Using a sense of curiosity and drive for innovation, develop new product ideas and features within existing products. Drive proof of concept ideas from inception through customer fielding and testing. Act as an advocate for innovation within Corelight and its customer base. Utilize AI LLM for rapid development and feature execution. Minimum Qualifications Strong appreciation for our core values: low ego results, tireless service, and applied curiosity. 7+ years experience in rapid development across a full stack environment, to include cloud, containers, orchestration, and modern programming languages (golang preferred). Strong understanding of virtualization environments and orchestration solutions such as Kubernetes. Experience in computer networking, understanding layer 2-7 of the OSI model and how each layer contributes to the operational network. Understanding of network security concepts such as encryption, protocol abuses, and patterns of attack. Participate in highly technical discussions across multiple teams within Corelight. Utilize customer centric communication skills to interact both internally and externally. Preferred Qualifications Experience with SIEMs such as Splunk or Elastic. Experience adopting and using Agile development tools and methodologies, and working in a distributed team. Understanding of security operations, threat hunting, and incident response. Excellent communication skills with experience collaborating across UX, engineering, and product teams. Familiarity with data analytics, AI-assisted security decision-making, and automation. Education: Degrees in Computer Science, Cybersecurity, or related technical disciplines (or equivalent experience). Fueled by investments from top-tier venture capital organizations such as Crowdstrike, Accel and Insight, Corelight is the fastest growing network detection and response platform in the industry. Our customers trust us to protect mission-critical assets in leading enterprises, government, and research institutions worldwide. We are leading the way with AI-assisted workflows, machine learning models, cloud security and SaaS-based solutions to arm defenders with the tools and knowledge they need to disrupt cyber attacks. Our team of passionate innovators are dedicated to solving some of the toughest challenges in cybersecurity, while fostering a collaborative, inclusive, and growth-oriented culture. Corelight is committed to a geographically distributed yet connected employee base with employees working from home and office locations around the world. At Corelight, we take pride in the diversity of our backgrounds and perspectives, and we are committed to fostering an inclusive environment that strengthens our company. We are looking forward to meeting you. Check us out at . Notice of Pay Transparency The compensation for this position may vary depending on factors such as your location, skills and experience. Depending on the nature and seniority of the role, a percentage of compensation may come in the form of a commission-based or discretionary bonus. Equity and additional benefits will also be awarded. Compensation Range $221,000 - $268,000 USD Seniority level: Mid-Senior level. Employment type: Full-time. Job function: Product Management and Marketing. Industries: Technology, Information and Internet.
04/02/2026
Full time
Join to apply for the Sr. Manager, Security Product Research role at Corelight. Do you want to help make the world safe from cyber attack? At Corelight, we believe that the best approach to cybersecurity risk starts with the network. Attackers can evade endpoint detection, firewalls and many other technologies - but they can't avoid leaving digital footprints on the networks they traverse. Built on open-source innovations from Zeek, Suricata and YARA and refined through years of real-world use, Corelight transforms network footprints from physical, virtual and cloud networks into actionable insights. Our customers use these insights to speed incident response and proactively hunt for threats. We are building a world class and uniquely targeted team to drive security product research through rapid prototyping and testing. The ideal candidate will use their strong analytical skills and awareness of network and cloud security data to drive novel, fast, and effective security product prototypes using the latest technology. Corelight is uniquely positioned to forge the path for network detection and response, you will have the opportunity to contribute to this future through the expansive bounds of this position. You will be able to look back a year from now and say two things with pride: first, "I helped to build that." and second, "We are generating insights that no one else in the world has achieved." As the leader of Corelight's Security Product Prototype team, you will work closely with product leaders, engineering, and network security experts to explore, design, test, and build prototype solutions for challenging network security problems. You will play a crucial role in defining the art of the possible for future products at Corelight and defining the standard for network detection in cyber security. Responsibilities Drive innovation across Corelight through thought leadership. Act as a leader and technical SME within the Product organization. Lead early prototype development of the next generation of products at Corelight through the use of rapid prototyping, testing and proof of concepts. Work closely with product leaders, security researchers, and engineering leaders on the next generation of network security products. Leveraging existing capabilities, find ways to improve customer usability, deployment and consumption of Corelight products. Using a sense of curiosity and drive for innovation, develop new product ideas and features within existing products. Drive proof of concept ideas from inception through customer fielding and testing. Act as an advocate for innovation within Corelight and its customer base. Utilize AI LLM for rapid development and feature execution. Minimum Qualifications Strong appreciation for our core values: low ego results, tireless service, and applied curiosity. 7+ years experience in rapid development across a full stack environment, to include cloud, containers, orchestration, and modern programming languages (golang preferred). Strong understanding of virtualization environments and orchestration solutions such as Kubernetes. Experience in computer networking, understanding layer 2-7 of the OSI model and how each layer contributes to the operational network. Understanding of network security concepts such as encryption, protocol abuses, and patterns of attack. Participate in highly technical discussions across multiple teams within Corelight. Utilize customer centric communication skills to interact both internally and externally. Preferred Qualifications Experience with SIEMs such as Splunk or Elastic. Experience adopting and using Agile development tools and methodologies, and working in a distributed team. Understanding of security operations, threat hunting, and incident response. Excellent communication skills with experience collaborating across UX, engineering, and product teams. Familiarity with data analytics, AI-assisted security decision-making, and automation. Education: Degrees in Computer Science, Cybersecurity, or related technical disciplines (or equivalent experience). Fueled by investments from top-tier venture capital organizations such as Crowdstrike, Accel and Insight, Corelight is the fastest growing network detection and response platform in the industry. Our customers trust us to protect mission-critical assets in leading enterprises, government, and research institutions worldwide. We are leading the way with AI-assisted workflows, machine learning models, cloud security and SaaS-based solutions to arm defenders with the tools and knowledge they need to disrupt cyber attacks. Our team of passionate innovators are dedicated to solving some of the toughest challenges in cybersecurity, while fostering a collaborative, inclusive, and growth-oriented culture. Corelight is committed to a geographically distributed yet connected employee base with employees working from home and office locations around the world. At Corelight, we take pride in the diversity of our backgrounds and perspectives, and we are committed to fostering an inclusive environment that strengthens our company. We are looking forward to meeting you. Check us out at . Notice of Pay Transparency The compensation for this position may vary depending on factors such as your location, skills and experience. Depending on the nature and seniority of the role, a percentage of compensation may come in the form of a commission-based or discretionary bonus. Equity and additional benefits will also be awarded. Compensation Range $221,000 - $268,000 USD Seniority level: Mid-Senior level. Employment type: Full-time. Job function: Product Management and Marketing. Industries: Technology, Information and Internet.
About Unify Unify was founded January 17th, 2023 by Austin Hughes and Connor Heggie. Prior to Unify, Austin led Ramp's growth product team focused on new customer acquisition, and Connor was a machine learning research engineer at Scale AI. The rest of our team comes from companies like Airbnb, Spotify, Bridgewater and LinkedIn. Our mission is to build the first system-of-action for go-to-market teams, starting with an end to end platform powering warm outbound. Today, outbound sales is dominated by cold, mass outreach that floods people's inboxes and converts to deals at a tiny rate. We're building a platform to power warm outbound, allowing go-to-market teams to get in touch with the right people at the exact time they're looking for a solution. We've grown revenue 8x year-over-year, and are already serving customers like Guru, Justworks, Together.AI, Flock Safety, Hightouch and more. We're a high energy, high intensity team and we've raised $58M from Thrive, Emergence, OpenAI and others. Come join us in changing how go-to-market works. About The Role Unify is redefining go-to-market with state-of-the-art AI. As our Staff SRE Tech Lead, you'll own the reliability and scalability of our platform as we add terabytes of data monthly and onboard customers with demanding uptime requirements. You'll set the technical direction for reliability engineering, lead a pod of SREs, and partner directly with the engineering leadership to build the systems and practices that keep Unify fast and reliable at scale. What You'll Do Lead the SRE pod: Set technical direction, drive prioritization, and mentor engineers-ensuring the team is tackling the highest leverage reliability and scalability challenges. Scale our data infrastructure: Architect and extend our ClickHouse and PostgreSQL deployments to handle terabytes of new data monthly; designing partitioning strategies, tuning queries, and building resilient replication and failover systems. Improve system performance: Profile and optimize critical paths across our backend services, identify bottlenecks in data pipelines and API layers, and ship changes that meaningfully improve latency and throughput. Build for reliability: Design and implement rate limiting, circuit breakers, graceful degradation, and other patterns that keep the platform stable under load and during partial failures. Automate everything: Drive tooling that eliminates toil-automating deployments, scaling operations, backup verification, and incident remediation. Instrument and observe: Build out distributed tracing, metrics, and alerting that give engineers clear visibility into system behavior and make debugging production issues fast. Define and enforce SLOs: Establish reliability targets aligned with customer needs, manage error budgets, and drive architectural decisions that balance shipping speed with system stability. Who You Are 8+ years of software engineering experience with a strong backend foundation, including 3+ years focused on reliability, infrastructure, or platform work. Experience leading teams or pods-setting technical direction, mentoring engineers, and driving execution on complex projects. Deep expertise operating databases at scale, including schema design, query optimization, replication, and failover strategies. Strong programming skills (Typescript, Python, Go, or similar) with a track record of building automation and tooling that meaningfully reduces operational burden. Collaborative, low ego attitude with a history of leveling up the people around you. Compensation Range: $250K - $295K
04/02/2026
Full time
About Unify Unify was founded January 17th, 2023 by Austin Hughes and Connor Heggie. Prior to Unify, Austin led Ramp's growth product team focused on new customer acquisition, and Connor was a machine learning research engineer at Scale AI. The rest of our team comes from companies like Airbnb, Spotify, Bridgewater and LinkedIn. Our mission is to build the first system-of-action for go-to-market teams, starting with an end to end platform powering warm outbound. Today, outbound sales is dominated by cold, mass outreach that floods people's inboxes and converts to deals at a tiny rate. We're building a platform to power warm outbound, allowing go-to-market teams to get in touch with the right people at the exact time they're looking for a solution. We've grown revenue 8x year-over-year, and are already serving customers like Guru, Justworks, Together.AI, Flock Safety, Hightouch and more. We're a high energy, high intensity team and we've raised $58M from Thrive, Emergence, OpenAI and others. Come join us in changing how go-to-market works. About The Role Unify is redefining go-to-market with state-of-the-art AI. As our Staff SRE Tech Lead, you'll own the reliability and scalability of our platform as we add terabytes of data monthly and onboard customers with demanding uptime requirements. You'll set the technical direction for reliability engineering, lead a pod of SREs, and partner directly with the engineering leadership to build the systems and practices that keep Unify fast and reliable at scale. What You'll Do Lead the SRE pod: Set technical direction, drive prioritization, and mentor engineers-ensuring the team is tackling the highest leverage reliability and scalability challenges. Scale our data infrastructure: Architect and extend our ClickHouse and PostgreSQL deployments to handle terabytes of new data monthly; designing partitioning strategies, tuning queries, and building resilient replication and failover systems. Improve system performance: Profile and optimize critical paths across our backend services, identify bottlenecks in data pipelines and API layers, and ship changes that meaningfully improve latency and throughput. Build for reliability: Design and implement rate limiting, circuit breakers, graceful degradation, and other patterns that keep the platform stable under load and during partial failures. Automate everything: Drive tooling that eliminates toil-automating deployments, scaling operations, backup verification, and incident remediation. Instrument and observe: Build out distributed tracing, metrics, and alerting that give engineers clear visibility into system behavior and make debugging production issues fast. Define and enforce SLOs: Establish reliability targets aligned with customer needs, manage error budgets, and drive architectural decisions that balance shipping speed with system stability. Who You Are 8+ years of software engineering experience with a strong backend foundation, including 3+ years focused on reliability, infrastructure, or platform work. Experience leading teams or pods-setting technical direction, mentoring engineers, and driving execution on complex projects. Deep expertise operating databases at scale, including schema design, query optimization, replication, and failover strategies. Strong programming skills (Typescript, Python, Go, or similar) with a track record of building automation and tooling that meaningfully reduces operational burden. Collaborative, low ego attitude with a history of leveling up the people around you. Compensation Range: $250K - $295K
Base pay range $140,000.00/yr - $205,000.00/yr Join Powerline and help revolutionize the future of the electricity grid! We are a disruptive, VC-backed cleantech company based in Silicon Valley. Our cutting edge technology leverages machine learning and artificial intelligence to optimize renewable energy and battery storage projects on the electricity grid. Our products help renewable project owners achieve strong economics and operational excellence, paving the way for a decarbonized and profitable future grid. We work on exciting projects with leaders in the world's most lucrative and complex electricity markets. This is an incredible opportunity to become an early and foundational team member at a climate tech company that is at a growth inflection point, addressing a critical problem in one of the most important and fastest growing markets. Responsibilities Develop optimization, forecasting, and control algorithms that automate battery and renewable projects to achieve maximum performance. Take ownership of algorithm performance across projects operated by Powerline. Bring a results focused mindset that is agnostic to the algorithmic approach as long as it wins. Lead as a market rules expert. Take responsibility for staying current on new developments in the wholesale markets Powerline operates. Analyze trends in market data and individual asset performance to recommend new features and methods that improve project performance and/or Powerline's offerings. Requirements 5+ years building mixed integer linear and/or nonlinear optimization models to solve real world problems with high dimensionality. Strong knowledge of energy markets, EV/fleet optimization, batteries, virtual power plants, renewable energy, energy policies/regulations, and/or energy systems. Proficiency in Python with professional software engineering standards. High attention to detail. Excellent communication skills and ability to articulate complex technical concepts. Strong Pluses Ph.D. in operations research, electrical engineering, computer science, statistics, economics, or related field with a strong mathematical foundation. Experience with Git, CI/CD pipelines, and agile development. Experience with SQL based databases (e.g., MySQL, PostgreSQL). Experience with analytic dashboard development and visualization tools. Compensation Range: $140K - $205K
04/02/2026
Full time
Base pay range $140,000.00/yr - $205,000.00/yr Join Powerline and help revolutionize the future of the electricity grid! We are a disruptive, VC-backed cleantech company based in Silicon Valley. Our cutting edge technology leverages machine learning and artificial intelligence to optimize renewable energy and battery storage projects on the electricity grid. Our products help renewable project owners achieve strong economics and operational excellence, paving the way for a decarbonized and profitable future grid. We work on exciting projects with leaders in the world's most lucrative and complex electricity markets. This is an incredible opportunity to become an early and foundational team member at a climate tech company that is at a growth inflection point, addressing a critical problem in one of the most important and fastest growing markets. Responsibilities Develop optimization, forecasting, and control algorithms that automate battery and renewable projects to achieve maximum performance. Take ownership of algorithm performance across projects operated by Powerline. Bring a results focused mindset that is agnostic to the algorithmic approach as long as it wins. Lead as a market rules expert. Take responsibility for staying current on new developments in the wholesale markets Powerline operates. Analyze trends in market data and individual asset performance to recommend new features and methods that improve project performance and/or Powerline's offerings. Requirements 5+ years building mixed integer linear and/or nonlinear optimization models to solve real world problems with high dimensionality. Strong knowledge of energy markets, EV/fleet optimization, batteries, virtual power plants, renewable energy, energy policies/regulations, and/or energy systems. Proficiency in Python with professional software engineering standards. High attention to detail. Excellent communication skills and ability to articulate complex technical concepts. Strong Pluses Ph.D. in operations research, electrical engineering, computer science, statistics, economics, or related field with a strong mathematical foundation. Experience with Git, CI/CD pipelines, and agile development. Experience with SQL based databases (e.g., MySQL, PostgreSQL). Experience with analytic dashboard development and visualization tools. Compensation Range: $140K - $205K
Role Senior / Staff Full-Stack Engineer at Hedra. Base Pay Range $175,000.00/yr - $275,000.00/yr Company Overview Hedra is a pioneering generative media company backed by top investors at Index, A16Z, and Abstract Ventures. We're building Hedra Studio, a multimodal creation platform capable of control, emotion, and creative intelligence. At the core of Hedra Studio is our Character 3 foundation model, the first omnimodal model in production. Character 3 jointly reasons across image, text, and audio for more intelligent video generation - it's the next evolution of AI driven content creation. Note At Hedra, we're a team of hard working, passionate individuals seeking to fundamentally change content and build a generational company together. You should have start up experience and be a self starter that is driven to build impactful products that change the status quo. The Hedra team is fully in person in SF/NY with a shared love of solving hard problems using whiteboards. Summary As a Senior Full Stack Engineer, you will design, build, and deploy the frontend and backend services that power our transformative products. You will work with emerging web standards to build web based video and audio creation/editing tools, utilizing Webcodecs, web assembly, and FFMPEG. You will also work with frameworks/languages such as NextJS, React, Redux, Mobx, Typescript, Javascript, and deep dive into video container formats and streaming protocols such as MP4, MKV, HLS, and MP DASH. You will build and deploy backend services and APIs to our Kubernetes infrastructure, write secure, stable, and scalable Python code, interface with our foundation model, and integrate with SQS, Kafka, S3, and DynamoDB to implement event streaming/processing logic. You will work with passionate engineers and top researchers to build a truly disruptive technology. Must Have Experience 5+ years of professional experience with Javascript, React, NextJS, and Typescript. Experience working closely with design and product to set and deliver engineering initiatives and projects. A product focused engineer who is passionate about the user experience and empowering creatives. Familiarity with audio/video web standards and tools such as Webcodecs, webRTC, HLS, MP DASH, FFMPEG, MP4, and MKV. Startup experience is a must - we work hard and build quickly. Ideal candidates should be passionate with an always on attitude that drives them to live and breathe the product (not a "punch the clock" disposition). Nice To Have Experience Experience developing scalable services using Python or Golang. Familiarity with authentication/authorization such as OAuth2 and OIDC. Experience working with relational and NoSQL datastores such as DynamoDB. Experience writing unit and integration tests, working with CI/CD, and writing functional tests using tools such as Playwright. Strong familiarity with frameworks and standards such as WASM, websockets, IndexedDB, promises, generators, and coroutines. Experience building and scaling cloud based infrastructure leveraging Kubernetes and EKS. Experience developing/scaling pipelines, event streaming/processing in AWS, using tools such as SQS or Kafka. Experience architecting and implementing REST APIs for distributed systems. Experience with k8s, Docker, especially in the context of deploying machine learning models on NVIDIA hardware. Personality Self motivated and independent - able to set accurate timelines for development and deliver on them. Have an opinion and the experience to back that opinion. Low ego, high patience, strong communication skills. Understand operational costs and overhead short and long term. Mission driven - we are building something fundamentally disruptive and this reflects deeply in our company DNA. And most importantly, treat Hedra as your own and help shape the vision accordingly. Benefits Competitive compensation and equity 401k Healthcare (Silver PPO Medical, Vision, Dental) Lunch and snacks at the office Additional Information We encourage you to apply even if you don't fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team. Compensation Range: $175K - $275K
04/02/2026
Full time
Role Senior / Staff Full-Stack Engineer at Hedra. Base Pay Range $175,000.00/yr - $275,000.00/yr Company Overview Hedra is a pioneering generative media company backed by top investors at Index, A16Z, and Abstract Ventures. We're building Hedra Studio, a multimodal creation platform capable of control, emotion, and creative intelligence. At the core of Hedra Studio is our Character 3 foundation model, the first omnimodal model in production. Character 3 jointly reasons across image, text, and audio for more intelligent video generation - it's the next evolution of AI driven content creation. Note At Hedra, we're a team of hard working, passionate individuals seeking to fundamentally change content and build a generational company together. You should have start up experience and be a self starter that is driven to build impactful products that change the status quo. The Hedra team is fully in person in SF/NY with a shared love of solving hard problems using whiteboards. Summary As a Senior Full Stack Engineer, you will design, build, and deploy the frontend and backend services that power our transformative products. You will work with emerging web standards to build web based video and audio creation/editing tools, utilizing Webcodecs, web assembly, and FFMPEG. You will also work with frameworks/languages such as NextJS, React, Redux, Mobx, Typescript, Javascript, and deep dive into video container formats and streaming protocols such as MP4, MKV, HLS, and MP DASH. You will build and deploy backend services and APIs to our Kubernetes infrastructure, write secure, stable, and scalable Python code, interface with our foundation model, and integrate with SQS, Kafka, S3, and DynamoDB to implement event streaming/processing logic. You will work with passionate engineers and top researchers to build a truly disruptive technology. Must Have Experience 5+ years of professional experience with Javascript, React, NextJS, and Typescript. Experience working closely with design and product to set and deliver engineering initiatives and projects. A product focused engineer who is passionate about the user experience and empowering creatives. Familiarity with audio/video web standards and tools such as Webcodecs, webRTC, HLS, MP DASH, FFMPEG, MP4, and MKV. Startup experience is a must - we work hard and build quickly. Ideal candidates should be passionate with an always on attitude that drives them to live and breathe the product (not a "punch the clock" disposition). Nice To Have Experience Experience developing scalable services using Python or Golang. Familiarity with authentication/authorization such as OAuth2 and OIDC. Experience working with relational and NoSQL datastores such as DynamoDB. Experience writing unit and integration tests, working with CI/CD, and writing functional tests using tools such as Playwright. Strong familiarity with frameworks and standards such as WASM, websockets, IndexedDB, promises, generators, and coroutines. Experience building and scaling cloud based infrastructure leveraging Kubernetes and EKS. Experience developing/scaling pipelines, event streaming/processing in AWS, using tools such as SQS or Kafka. Experience architecting and implementing REST APIs for distributed systems. Experience with k8s, Docker, especially in the context of deploying machine learning models on NVIDIA hardware. Personality Self motivated and independent - able to set accurate timelines for development and deliver on them. Have an opinion and the experience to back that opinion. Low ego, high patience, strong communication skills. Understand operational costs and overhead short and long term. Mission driven - we are building something fundamentally disruptive and this reflects deeply in our company DNA. And most importantly, treat Hedra as your own and help shape the vision accordingly. Benefits Competitive compensation and equity 401k Healthcare (Silver PPO Medical, Vision, Dental) Lunch and snacks at the office Additional Information We encourage you to apply even if you don't fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team. Compensation Range: $175K - $275K
Data Architect - HR Data & Analytics About Quantiphi: Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine learning research with disciplined cloud and data engineering practices to create breakthrough impact at unprecedented speed. Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don't just innovate - we lead. Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple industry verticals (Telco, BFSI, HCLS etc.) and is an established elite/premier partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We've been recognized with: 17x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We offer first in class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting edge Generative AI and Agentic AI accelerators. We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Role Overview The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support one of our FSI client's HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, well governed data solutions built on Snowflake and integrated with Workday and other HR platforms. The ideal candidate will bring deep technical expertise and a solid understanding of HR data domains, ensuring data integrity, accessibility, and analytical value across the organization. Key Responsibilities Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Basic Qualifications Bachelor's degree in Data Analytics, Computer Science, Human Resources, or a related discipline (or equivalent experience). Minimum of 8+ years of experience as a Data Architect preferably in HR analytics or HRIS environments. Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms. Advanced SQL skills and hands on experience with data transformation and pipeline optimization tools. Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. Demonstrated experience working with HR data structures, Workday, or other HRIS systems. Strong analytical mindset and problem solving ability, with attention to data integrity and business context. Experience with Python for data engineering, automation, or orchestration tasks. Track record of designing data warehouses or analytical platforms leveraging HR data to drive insights and advanced reporting. Other Qualifications Experience building and supporting data warehouses specifically for HR and People Analytics domains. Hands on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. Proficiency with data visualization tools such as Tableau or Power BI. Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting. Experience working in an enterprise environment with cross functional collaboration between HR, Finance, and Technology teams. What's in it for YOU at Quantiphi Make an impact at one of the world's fastest growing AI first digital engineering companies. Upskill and discover your potential as you solve complex challenges in cutting edge areas of technology alongside passionate, talented colleagues. Work where innovation happens - work with disruptive innovators in a research focused organization with 60+ patents filed across various disciplines. Stay ahead of the curve-immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies. Experience Level 8+ years of experience Employment Type Full time Boston, MA $145,500.00-$280,000.00
04/02/2026
Full time
Data Architect - HR Data & Analytics About Quantiphi: Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine learning research with disciplined cloud and data engineering practices to create breakthrough impact at unprecedented speed. Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don't just innovate - we lead. Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple industry verticals (Telco, BFSI, HCLS etc.) and is an established elite/premier partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We've been recognized with: 17x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We offer first in class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting edge Generative AI and Agentic AI accelerators. We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Role Overview The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support one of our FSI client's HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, well governed data solutions built on Snowflake and integrated with Workday and other HR platforms. The ideal candidate will bring deep technical expertise and a solid understanding of HR data domains, ensuring data integrity, accessibility, and analytical value across the organization. Key Responsibilities Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Basic Qualifications Bachelor's degree in Data Analytics, Computer Science, Human Resources, or a related discipline (or equivalent experience). Minimum of 8+ years of experience as a Data Architect preferably in HR analytics or HRIS environments. Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms. Advanced SQL skills and hands on experience with data transformation and pipeline optimization tools. Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. Demonstrated experience working with HR data structures, Workday, or other HRIS systems. Strong analytical mindset and problem solving ability, with attention to data integrity and business context. Experience with Python for data engineering, automation, or orchestration tasks. Track record of designing data warehouses or analytical platforms leveraging HR data to drive insights and advanced reporting. Other Qualifications Experience building and supporting data warehouses specifically for HR and People Analytics domains. Hands on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. Proficiency with data visualization tools such as Tableau or Power BI. Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting. Experience working in an enterprise environment with cross functional collaboration between HR, Finance, and Technology teams. What's in it for YOU at Quantiphi Make an impact at one of the world's fastest growing AI first digital engineering companies. Upskill and discover your potential as you solve complex challenges in cutting edge areas of technology alongside passionate, talented colleagues. Work where innovation happens - work with disruptive innovators in a research focused organization with 60+ patents filed across various disciplines. Stay ahead of the curve-immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies. Experience Level 8+ years of experience Employment Type Full time Boston, MA $145,500.00-$280,000.00
Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description With data being the fuel that drives our future-our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa's Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data- The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross-functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high-quality analytics and data science support for our internal partner teams. This position is in the AI Practices & COE sub-team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time-consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office. Responsibilities include: As an AI Automation Analyst, you will design, develop, and deploy agentic AI workflows that optimize operations, automate processes, and generate measurable business value across the enterprise. You will leverage strong business acumen to translate complex operational challenges into practical AI solutions and communicate insights effectively to both technical and non-technical stakeholders. Collaborating closely with Centers of Excellence and enterprise transformation programs, you will drive adoption of AI initiatives across multiple business units, while quantifying and clearly articulating the ROI of automation efforts to demonstrate business impact. Design and implement agentic AI workflows to automate multi-step tasks and drive business impact. Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains. Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring. Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations. Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains. Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking. Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices. Stay current on emerging AI frameworks and LLM-based automation, prototyping innovative solutions for rapid adoption. Communicate complex technical concepts clearly to technical and non-technical stakeholders, fostering cross-functional collaboration. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Relocation assistance is not provided for this role. Qualifications Basic Qualifications 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) 2+ years of hands-on work experience with process/workflow automation Experience deploying Agentic AI solutions. Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field Strong technical proficiency in machine learning and AI frameworks, including TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers. Experience with agentic AI and orchestration tools such as LangChain, LlamaIndex, or similar frameworks for multi-step task automation. Solid data engineering skills, including SQL, Spark, Databricks, Airflow, Kafka, and ETL/ELT pipeline development. Proficiency in Python (primary) and familiarity with Java, Scala, or R. Experience with cloud and MLOps practices, including CI/CD, model monitoring, retraining pipelines, and containerization (Docker, Kubernetes). Relocation assistance is not provided for this role. Additional Information Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position. Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
04/02/2026
Full time
Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description With data being the fuel that drives our future-our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa's Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data- The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross-functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high-quality analytics and data science support for our internal partner teams. This position is in the AI Practices & COE sub-team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time-consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office. Responsibilities include: As an AI Automation Analyst, you will design, develop, and deploy agentic AI workflows that optimize operations, automate processes, and generate measurable business value across the enterprise. You will leverage strong business acumen to translate complex operational challenges into practical AI solutions and communicate insights effectively to both technical and non-technical stakeholders. Collaborating closely with Centers of Excellence and enterprise transformation programs, you will drive adoption of AI initiatives across multiple business units, while quantifying and clearly articulating the ROI of automation efforts to demonstrate business impact. Design and implement agentic AI workflows to automate multi-step tasks and drive business impact. Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains. Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring. Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations. Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains. Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking. Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices. Stay current on emerging AI frameworks and LLM-based automation, prototyping innovative solutions for rapid adoption. Communicate complex technical concepts clearly to technical and non-technical stakeholders, fostering cross-functional collaboration. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Relocation assistance is not provided for this role. Qualifications Basic Qualifications 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) 2+ years of hands-on work experience with process/workflow automation Experience deploying Agentic AI solutions. Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field Strong technical proficiency in machine learning and AI frameworks, including TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers. Experience with agentic AI and orchestration tools such as LangChain, LlamaIndex, or similar frameworks for multi-step task automation. Solid data engineering skills, including SQL, Spark, Databricks, Airflow, Kafka, and ETL/ELT pipeline development. Proficiency in Python (primary) and familiarity with Java, Scala, or R. Experience with cloud and MLOps practices, including CI/CD, model monitoring, retraining pipelines, and containerization (Docker, Kubernetes). Relocation assistance is not provided for this role. Additional Information Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position. Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
About Quizlet At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We're energized by the potential to power more learners through multiple approaches and various tools. Let's Build the Future of Learning. Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. The Team The Mobile Study team at Quizlet is based in San Francisco and focuses on creating the best possible studying experience for millions of learners worldwide. Our team builds and refines core mobile features that make Quizlet a trusted learning companion-everything from flashcards and practice modes to AI-powered study experiences. We collaborate with the broader mobile organization, backend services, design, and product teams to deliver seamless, high-quality learning experiences on iOS and Android. The Role We're looking for a Sr. Software Engineer to join our Mobile Study team at Quizlet. You'll work on our iOS and Android apps, building and improving the study features that power how millions of students learn with Quizlet. You'll help shape the core functionality that keeps learners engaged and successful. In this role, you'll collaborate closely with engineers, designers, and product managers to deliver high-quality mobile experiences. You'll have the opportunity to influence technical direction, contribute to architecture decisions, and mentor other engineers while driving projects from ideation through release. We're looking for someone who is passionate about creating intuitive, performant, and reliable mobile experiences that have a real impact on learners worldwide. We're happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization. In This Role, You Will Design, build, and maintain high quality software supporting the core product Collaborate closely with product and other cross-functional partners to define requirements and deliver solutions Understand and operate in our existing systems and proactively suggest improvements and new ideas based on industry best practices Drive incident investigations, post mortems, and retrospectives and effectively advocate for long-term improvements to systems and processes Influence within your team for the right engineering improvements to increase quality of our software, testing, and processes What You Bring To The Table Multiple years of experience in mobile software development Strong problem-solving and debugging skills on mobile software products Proficiency in either iOS or Android development and some level of comfort with the other Eagerness to learn, grow, and take on new challenges Excellent verbal and written communication skills across a range of audiences Bonus Points If You Have Experience with native Android, native iOS, and cross-platform mobile development approaches. Including evaluating tradeoffs Track record of influencing adjacent engineering teams of best practices or mobile client needs Compensation, Benefits & Perks Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $165,000 - $205,000, depending on location and experience, as well as company stock options Collaborate with your manager and team to create a healthy work-life balance 20 vacation days that we expect you to take Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice) Employer-sponsored 401k plan with company match Access to LinkedIn Learning and other resources to support professional growth Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits 40 hours of annual paid time off to participate in volunteer programs of choice Why Join Quizlet? Massive reach: 60M+ users, 1B+ interactions per week Cutting-edge tech: Generative AI, adaptive learning, cognitive science Strong momentum: Top-tier investors, sustainable business, real traction Mission-first: Work that makes a difference in people's lives Inclusive culture: Committed to equity, diversity, and belonging In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. We are an equal opportunity employer and support diversity, equity, and inclusion. We welcome applicants from all backgrounds including women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans. Come join us! To All Recruiters And Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.
04/02/2026
Full time
About Quizlet At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We're energized by the potential to power more learners through multiple approaches and various tools. Let's Build the Future of Learning. Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. The Team The Mobile Study team at Quizlet is based in San Francisco and focuses on creating the best possible studying experience for millions of learners worldwide. Our team builds and refines core mobile features that make Quizlet a trusted learning companion-everything from flashcards and practice modes to AI-powered study experiences. We collaborate with the broader mobile organization, backend services, design, and product teams to deliver seamless, high-quality learning experiences on iOS and Android. The Role We're looking for a Sr. Software Engineer to join our Mobile Study team at Quizlet. You'll work on our iOS and Android apps, building and improving the study features that power how millions of students learn with Quizlet. You'll help shape the core functionality that keeps learners engaged and successful. In this role, you'll collaborate closely with engineers, designers, and product managers to deliver high-quality mobile experiences. You'll have the opportunity to influence technical direction, contribute to architecture decisions, and mentor other engineers while driving projects from ideation through release. We're looking for someone who is passionate about creating intuitive, performant, and reliable mobile experiences that have a real impact on learners worldwide. We're happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization. In This Role, You Will Design, build, and maintain high quality software supporting the core product Collaborate closely with product and other cross-functional partners to define requirements and deliver solutions Understand and operate in our existing systems and proactively suggest improvements and new ideas based on industry best practices Drive incident investigations, post mortems, and retrospectives and effectively advocate for long-term improvements to systems and processes Influence within your team for the right engineering improvements to increase quality of our software, testing, and processes What You Bring To The Table Multiple years of experience in mobile software development Strong problem-solving and debugging skills on mobile software products Proficiency in either iOS or Android development and some level of comfort with the other Eagerness to learn, grow, and take on new challenges Excellent verbal and written communication skills across a range of audiences Bonus Points If You Have Experience with native Android, native iOS, and cross-platform mobile development approaches. Including evaluating tradeoffs Track record of influencing adjacent engineering teams of best practices or mobile client needs Compensation, Benefits & Perks Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $165,000 - $205,000, depending on location and experience, as well as company stock options Collaborate with your manager and team to create a healthy work-life balance 20 vacation days that we expect you to take Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice) Employer-sponsored 401k plan with company match Access to LinkedIn Learning and other resources to support professional growth Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits 40 hours of annual paid time off to participate in volunteer programs of choice Why Join Quizlet? Massive reach: 60M+ users, 1B+ interactions per week Cutting-edge tech: Generative AI, adaptive learning, cognitive science Strong momentum: Top-tier investors, sustainable business, real traction Mission-first: Work that makes a difference in people's lives Inclusive culture: Committed to equity, diversity, and belonging In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. We are an equal opportunity employer and support diversity, equity, and inclusion. We welcome applicants from all backgrounds including women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans. Come join us! To All Recruiters And Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.
