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We’re a startup with big ambitions: to make estate planning modern, visual, and intelligent. ___ is the first AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations. Our technology unifies scenario modeling, client visualization, and document creation into one seamless, digital experience. Our team brings together diverse subject matter expertise across estate planning, wealth management, and scaling SaaS startups. We’re distributed across the U.S., with a mix of fully remote and hybrid roles, and we embrace flexibility while staying closely connected. At Vanilla, you’ll join curious builders and problem-solvers who thrive on speed, autonomy, and impact. Here, you won’t just join a company, you’ll help create it. If you’re excited to tackle hard problems, move quickly, and see your work shape both an industry and a growing startup, we’d love to meet you. Job Summary Vanilla is seeking a Senior Software Engineer - AI Applications with a strong background in software development, data science, machine learning, and artificial intelligence. You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineering skills will come into play here as you’ll take ownership in constructing services to ingest structured results. If you’re a proactive problem-solver who lives to disrupt archaic processes with cutting-edge technology, this is the job for you. As a Senior Software Engineer, you will work collaboratively with engineering and subject matter experts to find innovative and disruptive uses of AI to streamline (or replace) workflows. Responsibilities * Machine learning and AI: You are passionate and knowledgeable about the current and future state of AI. * You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineer skills will come into play here as you'll take ownership in constructing services to ingest results. * You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights. * You can drive technical vision and leverage open source technologies and cloud services to build an AI/ML platform. * You can build tooling to support model training, evaluation, inference serving, monitoring and alerting. * You want to use the latest ML frameworks and open source tools to develop new model training pipelines. * Hands On Coding: You have direct experience with software engineering and are familiar with modern languages like Python, Javascript, Go, Rust * You have experience building microservices and understand the tradeoffs of the approach. * Data handling: You can identify, extract, transform, and load data from disparate sources into a centralized system. You are able to normalize, cleanse, and validate this data. * Database management: You are able to design and implement schemas, optimize queries, and manage database performance. * Project management: You must be an effective self-organizer: prioritize tasks, manage resources, and communicate effectively with non-technical stakeholders. * Collaboration: We are one team. You must be able to collaborate with engineers, subject matter experts, product managers, and designers to ensure the success of projects. Qualifications * Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. * 6+ years relevant work experience. * Proficiency in, at least, one modern programming language such as Python or Javascript. * Experience building commercial SaaS solutions. * Experience integrating with backend services, and APIs. * Experience with OpenAI, Anthropic, or similar for both chat and API interfaces. * Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation. * Experience with tuning AI performance and scalability of AI infrastructure. * Preferred experience with AI observability, monitoring, and signaling with tools such as LangChain or LangGraph. * Experienced with LLM orchestration tooling and decision frameworks. * Experience or exposure building agentic capabilities and workflows. * Experience or exposure to evaluation testing frameworks. * Exceptional candidates will have direct experience with RAG for tuning LLMs. * Experience with API design and accessing data from external sources. * Ability to effectively articulate technical challenges and solutions. * Deal well with ambiguous/undefined problems; ability to think abstractly. * Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. * Candidates must be legally authorized to work in the United States without the need for sponsorship now or in the future. Vanilla is unable to provide visa sponsorship at this time. You Might Be a Great Fit If: * You have hands-on experience with AI and Large Language Models (LLMs). You’ve worked with OpenAI, GPT models, or other similar technologies and have integrated them into real-world applications. * You are a critically thinking software engineer. You have built and maintained scalable microservices and understand the tradeoffs of this architecture. * You can build AI-powered applications with high accuracy. You understand the challenges of AI implementation and know how to optimize models, fine-tune them, and create efficient pipelines for training, evaluation, and deployment. * You are a problem-solver and innovator. You love tackling undefined, ambiguous problems and applying AI to disrupt outdated processes. You’re excited about revolutionizing estate planning with cutting-edge technology. You May Not Be a Great Fit If: * You are primarily a data scientist or ML researcher, rather than a software engineer. While AI and machine learning are key components of this role, we need a strong application developer first. You should be comfortable building production-ready software, integrating AI models into applications, designing APIs, and working with databases. If your experience is mostly in research, data modeling, or experimentation without deploying AI-driven applications, this may not be the right fit. * You prefer working in highly structured, slow-moving environments. At Vanilla, we move fast and iterate quickly. The salary range for this role is $160,000 to $190,000. Our compensation packages also include a performance based bonus and equity. Compensation is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. * Flexible paid time off policy and 10 company-wide paid holidays * Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents * Medical, dental, and vision benefits coverage for employees and their families * 401K eligibility after one month of employment * Free estate planning documents * Budget for learning & development and home office setup * Paid parking or transit for hybrid and in office employees Vanilla Technologies Inc. (dba "Vanilla") provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Vanilla participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

At SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises. Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android. To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on ___, ___, and ___. Additionally, we expect all team members to effectively leverage modern AI technologies as part of their everyday workflow, and to continuously adapt as new tools emerge. Familiarity with job-relevant AI platforms such as Gemini, ChatGPT, Claude, GitHub Copilot or other industry-standard AI productivity tools is expected and considered essential for success at this company. We are hiring a Senior Staff Data Engineer to play a senior technical leadership role on SonderMind’s Data Platform team. This role focuses on designing, building, and evolving the data systems that support analytics, experimentation, machine learning, and clinical outcomes across the business. As a Senior Staff Data Engineer you will operate with a high degree of ownership and autonomy. You will be responsible not only for delivering reliable data infrastructure, but also for shaping technical direction, establishing best practices, and enabling other teams to move faster with high-quality, trusted data—while operating within the constraints of a regulated healthcare environment. • Design, build, and maintain core data pipelines and infrastructure that power analytics, experimentation, machine learning and AI fine tuning and agentic use cases across product, clinical, and operations teams., • Own data architecture decisions related to ingestion, transformation, storage, and serving layers, with a focus on scalability, reliability, cost efficiency, and maintainability., • Establish and enforce data quality, observability, and reliability standards, including SLAs, monitoring, alerting, and incident response practices for critical datasets., • Partner closely with analytics, data science, and product engineering teams to understand data needs and translate them into well-designed, reusable data models and pipelines., • Lead technical initiatives and drive best practices across the data engineering team, including code quality, testing, documentation, and data contracts., • Ensure data systems meet privacy, security, and compliance requirements, with a strong understanding of handling sensitive mental health and healthcare data., • Mentor and support other data engineers, providing technical guidance, design feedback, and helping raise the overall engineering bar., • Support other responsibilities and ad-hoc projects as needed based on evolving business and platform needs. First 3–6 Months: • Develop a strong understanding of SonderMind’s data landscape, key business use cases, and regulatory constraints., • Take ownership of critical pipelines or platform components and begin making meaningful improvements to reliability and clarity., • Build trust with analytics, data science, and engineering partners through consistent delivery and thoughtful technical decisions. Continued Success in the Role: • Data pipelines are reliable, observable, and well understood, with fewer surprises and faster issue resolution., • Teams across the company are able to move faster because data is accessible, well modeled, and trusted., • Technical decisions scale well over time and reduce long-term maintenance and operational burden., • You influence platform direction beyond your own code by raising standards and helping others make better technical choices. How Performance Is Measured: • Reliability and quality of core data systems, including uptime, freshness, and accuracy., • Impact on team velocity and downstream consumers, including analytics, ML, AI, and product., • Technical leadership and influence across the data organization., • Alignment with SonderMind’s career competencies, including ownership, collaboration, and thoughtful problem-solving., • 8+ years of experience in data engineering, platform engineering, or backend engineering roles., • Strong proficiency in SQL and at least one general-purpose programming language (Python strongly preferred)., • Hands-on experience building and maintaining production data pipelines at scale., • Experience working with modern data platforms, including cloud data warehouses, orchestration tools, and transformation frameworks., • Strong understanding of data modeling, pipeline reliability, and system design trade-offs., • Proven ability to work cross-functionally and translate business needs into effective technical solutions., • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience., • Experience in healthcare, mental health, or other regulated environments., • Familiarity with streaming or event-driven data systems., • Experience supporting machine learning or experimentation workflows., • Exposure to data governance, privacy, or compliance frameworks. The anticipated salary range for this role is $180,000 - $200,000. Final compensation will be determined based on a variety of factors, including relevant experience, skills, education, and past performance. As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people’s careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work. Our benefits include: • A generous PTO policy, with a minimum of three weeks off per year, • A holiday schedule that follows standard U.S. holidays, • Free therapy coverage benefits to ensure employees have access to the care they need (must be enrolled in a qualifying medical plan to participate), • Competitive Medical, Dental, and Vision coverage, with plans to meet every need — including HSA (with $1,100 company contribution) and FSA options, • Employer-paid short-term disability, long-term disability, life & AD&D, plus coverage of the salary difference for up to seven weeks of short-term disability leave (after the required waiting period), • Eight weeks of paid Parental Leave; if the parent also qualifies for STD, this benefit is in addition, allowing for 8–16 weeks of paid leave, • 401(k) retirement plan with 100% match on up to 4% of base salary, immediately vested, • Join teammates from across the country at our annual company gathering, • Company shutdown between Christmas and New Year’s, • Supplemental life insurance, pet insurance, commuter benefits, and more This position will be an ongoing recruitment process and will be open until filled. SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.

Position Summary: MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Your mission is to evolve our current environment into a rapid-acquisition engine capable of feeding real-time ML models, innovation, and operations while maintaining rigorous healthcare compliance standards. Responsibilities: • Pipeline Architecture: Design, implement, and maintain end-to-end data pipelines on Azure, ensuring high availability and low latency for healthcare claim and analytics processing., • High-Performance Storage: Manage and optimize ClickHouse as our primary analytical engine, focusing on rapid data ingestion and lightning-fast query performance for large-scale datasets., • ML Data Readiness: Structure data environments to support the full ML lifecycle, from feature engineering and training to real-time model inference., • MLOps Integration: Collaborate with Data Scientists to implement automated CI/CD pipelines for model deployment, monitoring, and retraining., • Rapid Acquisition: Develop scalable frameworks to ingest diverse healthcare data sources (EDI, claims, clinical notes) with high velocity., • Security & Compliance: Ensure all data structures and processes adhere to HITRUST/HIPAA standards, collaborating with IT and the leads for technical efforts for HITRUST certification readiness.Required Skills & Experience, • Cloud Expertise: 5+ years of experience in data engineering, with deep proficiency in Azure Data Factory, Azure Databricks, or Azure Synapse., • OLAP Mastery: Proven experience managing and tuning ClickHouse (or similar columnar databases like Druid/Pinot) for massive datasets., • Programming: Expert-level Python and SQL skills., • ML Engineering: Familiarity with ML frameworks (PyTorch, TensorFlow) and MLOps tools (MLflow, Kubeflow, or Azure Machine Learning)., • Healthcare Domain: Prior experience with healthcare data formats (HL7, FHIR, 835/837) and a strong understanding of HITRUST/HIPAA security requirements., • Scale-up Mindset: Ability to build "v1" processes while designing for 10x growth.Preferred Qualifications:, • Experience with Infrastructure as Code (Terraform, Bicep)., • Knowledge of stream processing (Kafka, Azure Event Hubs)., • Background in financial or payment integrity analytics.

Who We Are Renew Home is on a mission to change how we power the world by making it easier for customers to save energy and money at home as part of the largest residential virtual power plant in North America. We partner with industry-leading brands to better manage residential energy for users by prioritizing efficiency, savings, and comfort — and cleaner energy for everyone. We are an Equal Opportunity employer striving to create a diverse, equitable, and inclusive work environment where everyone feels that they have a voice that is heard. We strongly encourage candidates to check out our website at ___ to learn more about the world-changing work we are doing. Role Summary Renew Home is seeking a talented and self-driven Staff Software Engineer to join the growing Energy Intelligence team. The Energy Intelligence team at Renew Home is responsible for the home energy optimization feature set which is at the heart of the value Renew Home provides. You’ll take significant ownership of end-to-end algorithm development—from discovery to deployment—contributing directly to the value we provide the grid and to company performance. This includes tackling challenges like co-optimizing thermostats, home batteries, and electric vehicles - taking into account user needs, physical system dynamics, and grid demand. What You Will Do Algorithm & Model Development • Optimize load profiles across multiple classes of devices including thermostats, home batteries, and EVs., • Develop and productionize algorithms and models using machine learning and statistical techniques., • Analyze diverse datasets such as device temperature, energy consumption, user interactions, grid carbon emissions, weather, and energy markets to inform product direction and algorithm design., • Collaborate with Product, Product Design/UX, Operations, and Engineering to define and deliver impactful features., • Drive software projects independently over multi-week timeframes, designing and leading longer term efforts within the team and cross-functionally., • Provide technical leadership in small engineering groups., • Design, implement, and maintain systems and features, including integration points with other teams and external platforms., • Work across our stack: Python, PostgreSQL, Prefect, AWS/GCP (CDK, ECS/EKS, RDS, Redshift, S3, etc.), Apache, Git, and Jira., • Uphold high standards in code quality, testing, security, observability, and operational excellence., • Foster a collaborative and efficient engineering culture, reducing complexity and improving development processes., • Bachelor's or Master’s degree in Computer Science—or non-CS STEM degree. 6-12 years professional software development experience., • Significant experience developing and evaluating algorithms and models in production environments (typically 4+ years)., • Proficiency in Python for algorithm-focused software development., • Strong SQL skills and experience with databases such as PostgreSQL, MySQL, Oracle, or Redshift., • One or more of the following:, • Energy industry knowledge or experience with energy markets., • Understanding of building energy systems physics., • Experience with smart energy devices such as thermostats, EVs, solar, batteries, and water heaters., • Experience leading the design of complex, scalable software systems., • Strong problem-solving skills and attention to detail., • Ability to navigate ambiguity and collaboratively define clear problem statements and solutions at a system level., • Familiarity with the full software development lifecycle, including design, implementation, testing, deployment, monitoring, and iteration., • Solid foundation in statistics, including inference, simulation, and optimization., • Hands-on experience developing machine learning or statistical models., • Bonus Experience:, • Scalable distributed data processing., • Serverless and cloud-native tools such as AWS Lambda, GCP Pub/Sub., • A full-time position, with a competitive salary based on experience. The base salary for this role is: $170k - $220k. We use market data and consider your job family, background, skills, experience, and U.S. work location to determine compensation within our established pay range., • Fully remote work environment with home office set-up allowance., • Real and lived work-life balance - Company perks include no pre-set vacation limits (with a top-down culture of taking meaningful PTO every year!), parental leave benefits, and a corporate value of working sustainably and putting families first., • Competitive benefits package that includes numerous health and wellness benefits., • 401(k) plan, with employer contributions to the same., • Opportunity to work with amazing people who are passionate about their mission, thriving in a fully-remote work environment, and learning and growing every day. At this time, Renew Home is unable to sponsor or take over sponsorship of employment visas. Candidates must be authorized to work in the United States without current or future immigration from the company, including training plans for foreign students. EQUAL OPPORTUNITY EMPLOYER Individuals seeking employment at Renew Home are considered without regard to race, color, religious creed, sex, gender identification, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at ___. Meet Your Future Neighbors The Fraud Prevention organization at Nextdoor is dedicated to protecting neighbors from harmful content, fraud, and abuse, and ensuring that neighbors can safely build and participate in local communities on our platform. The team - which consists of Product, Engineering, Design, and Neighborhood Operations (NOPS) - helps develop policies, build detection systems, and deliver moderation tools at scale to keep our platform safe. We are seeking a Senior Data Scientist, Fraud Prevention, to help protect our users, platform integrity, and community experience by developing strong data foundations, robust metrics and measurement frameworks, and advanced analytics and modeling that improve harm prevention and detection and moderation effectiveness. In essence, this role is integral to high-impact, cross-functional initiatives that help inform and shape our strategy and execution. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees.The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You'll Make Design and Lead Key Analyses and Metric Evolution • Analyze large, complex datasets to identify abuse patterns, fraud signals, and harmful behavior trends., • Conduct root cause analysis to diagnose safety incidents and emerging risks., • Evaluate new tool effectiveness (including AI), and impact on agent efficiency and user satisfaction., • Define and track core metrics (e.g., harm prevalence, violation rates, detection accuracy)., • Navigate the tradeoff between operational efficiency, safety, and user growth/experience., • Build dashboards and reporting frameworks to track platform health and safety performance. Develop Models & Rules • Develop heuristics, statistical models, and machine learning solutions for proactive detection of abuse, fraud, or harmful content, • Build prediction systems (e.g., anomaly detection, risk scoring, behavioral profiling)., • Improve automated enforcement and moderation workflows., • Evaluate model performance and iterate on detection strategies. Evaluate Product / Policy Changes Via Experimentation • Design and analyze experiments (A/B tests, causal inference) to measure safety feature impact (e.g., login & verification, AI moderation support). Clearly communicate findings to technical and non‑technical stakeholders., • Quantify tradeoffs between operational efficiency, safety, and user growth/experience. Guide TnS team on key tradeoffs in decision-making Own Cross-Functional Partnership • Partner with Product, Engineering, Operations, Policy, and Legal teams to define safety strategy., • Influence decision-making through data storytelling and insights., • Standardize analytical methodologies and tools for scalable decision-making. What You'll Bring To The Team • Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field., • 5+ years of Data Science experience working with large-scale data and statistical analysis, including 1+ year of data science experience in fraud prevention, moderation, or risk., • Strong analytical and problem‑solving skills, with a track record to lead projects from concept to impact., • Proficiency in SQL and at least one scripting language (e.g., Python or R)., • Expertise in experimentation and causal inference (A/B testing, cohort analysis, pre/post analysis) to evaluate product or policy changes in production environments., • Hands-on experience with standard Machine Learning and statistical methods (e.g., prediction, classification, anomaly detection, time series), ideally in risk or fraud prevention contexts., • Ability to collaborate cross‑functionally with Product, Engineering, Operations, and Legal/Policy partners; comfortable influencing without direct authority., • Strong communication, with the ability to translate technical concepts to non‑technical stakeholders, including operations leaders and executives. Nice to Have • 2+ years of experience in fraud prevention, moderation, or risk in a social platform context., • Strong experience with anomaly detection and building/deploying machine learning models., • Experience working with text, image, or behavioral data. Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting base salary for this role for the San Francisco, CA area is expected to range from $175,000 to $234,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found ___.

The New York Independent System Operator (NYISO) manages the efficient flow of electricity on more than 11,000 circuit-miles of high-voltage transmission lines, dispatching power from hundreds of generating units across the state. The NYISO’s Operations department invites applications for a full-time Data Scientist to join the Demand Forecasting and Analysis team. Data Scientists for Demand Forecasting and Analysis develop long-term and short-term peak and energy demand forecasts for the New York Control Area through structured and ad-hoc analyses of electric load, weather and climate trends, and emerging technologies such as behind-the meter solar installations, electric vehicles and cold-weather heat pumps using statistical, engineering, algorithmic, data science, and other techniques. A Data Scientist utilizes both commercially available software packages and high-level software programming tools to manage and extract meaningful information from existing and new data sets and to predict future patterns of electric demand. A Data Scientist will collaborate with NYISO colleagues on all analytical, programming, modelling, and data management activities. A Data Scientist will lead initiatives to innovate on forecasting methods, tools, and software and to develop new data pipelines, software tools and visualizations, A Data Scientist will research and leverage forecasting developments within the research community and communicate complex, technical content to internal and external stakeholders through written reports and presentations. A Data Scientist may be tasked to support one or both required forecasting horizons. • Short-Term horizon tasks focus on the support of the NYISO’s Market and Grid Operations departments. The Data Scientist will in this capacity develop real-time and day-ahead forecast models, manage the automated production of real-time and day-ahead forecasts and reports, and maintain the appropriate energy, weather, and solar databases of actual and forecast results. There is particular emphasis on enhancing the situational awareness of the Market and Grid Operations management and staff through the provision of deterministic and probabilistic analysis of current and prospective weather patterns and the associated impact on electric demand., • Long-Term horizon tasks focus on the support of the NYISO’s System and Resource Planning, Capacity Market Operations and Finance departments through the development and provision of long-term and annual energy and demand forecasts, and maintenance databases of economic data, weather data, state policy programs, and demand-side technologies such as solar photovoltaics, distributed energy resources, and electric vehicles. A Data Scientist is expected to perform these duties independently with little direct supervision from a Senior Data Scientist. ESSENTIAL DUTIES and RESPONSIBILITIES • Apply technical knowledge and experience to assist with the design, development and maintenance of forecast models (e.g., regression, machine learning, and analytical models) and data sets., • Implement and maintain rigorous data quality control processes to ensure the cleanest possible datasets are available with which to train the forecast models., • Create functional tests to ensure both model and forecasting system configuration changes satisfy the expected forecasting improvements and are reasonably free from defects., • Perform forecast verification analyses and exploratory data analyses of system and regional demand patterns., • Analyze and summarize large volumes of data using a high-level programming/scripting language. Create high impact charts and visualizations for communicating with internal and external stakeholders., • Perform peer model and data set reviews and suggest changes that will increase performance, maintainability, scalability, or standards compliance., • Collaborate with Operations, Software Development, other IT teams as needed and Project Managers to manage changes to team forecast models and the supporting applications/systems., • Coordinate with neighboring ISOs and with regional and national reliability councils as appropriate., • Provide task estimates and assist with the creation of work breakdown structures., • Evaluate new technology, tools, and data sets. Incorporate approved technology, data sets and tools to enhance the forecast model development process., • Document department tools, designs, data sets and procedures., • Resolve stakeholder (both internal and external) complaints with products and respond to suggestions for improvement and enhancements., • Mentor and coach Associate Data Scientists. Short-Term Forecasting • Perform daily review of Day-Ahead and Real-Time energy and solar forecasts and recommend corrective actions to Operations., • Revise forecast models of energy and solar power annually and recommend and develop new approaches periodically, or as circumstances require., • Maintain database archives of actual and forecast energy, weather, and solar data., • Monitor and evaluate energy and solar model forecast accuracy and weather forecast accuracy monthly., • Perform annual assessment of system energy and solar forecasts based upon actual, normal and extreme weather conditions., • Evaluate performance of weather and solar forecasting service providers monthly., • Assess current and prospective weather conditions and communicate with solar and weather forecasting professionals regarding forecasts and forecast accuracy., • Produce and distribute weekly and monthly prospective weather reports., • Provide post-production application support as required. Support responsibilities may include consultation, problem identification, data analysis and/or emergency forecasting model changes., • Collaborate and support the Release and Control team during forecast system deployments., • Contribute to Grid Transition’s Uncertainty Response initiative with innovative data management, analytics, and visualization tools. Long-Term Forecasting • Develop long-term econometric and end-use forecasts of system, zonal, or transmission district energy and seasonal peak demands., • Develop long-term forecasts of demand side impacts, which may consist of energy efficiency, solar PV, codes and standards, distributed energy, electric vehicles, energy storage, and other technologies., • Develop budget forecasts (one to five years) of system energy; monitor performance monthly on an actual and weather-adjusted basis., • Update long-term and budget forecast models; recommend and develop new approaches periodically, or as circumstances require., • Maintain database archives of actual and forecast energy, peak demand and hourly loads, weather data, economic data, and demand-side data., • Perform monthly assessments of long-term and budget forecasts based upon actual, normal and extreme weather conditions., • Prepare reports and presentations for meetings with NYISO market participants., • Coordinate the preparation of the annual Load and Capacity Data Report. Qualifications include: • Bachelor’s Degree (BS) in Mathematics, Economics, Data Science, or related discipline, • Three or more years of related experience in data science, load forecasting, operations research, load research, applied statistics, mathematics, or meteorology required, or combination of education, experience, and training. ADDITIONAL REQUIREMENTS • Ability to read, analyze and interpret energy forecasting and statistical concepts and methodologies applicable to NYISO energy and peak demand forecasting activities., • Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence and procedure manuals., • Ability to work with mathematical concepts such as probability and statistical inference, derivatives and integrals, and fundamentals of geometry / trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations., • Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret technical instructions in mathematical or diagram form and deal with several abstract and concrete variables and apply to other areas., • Proficiency or aptitude to become proficient in the use of MetrixND, SAS/Python, Excel, OSIsoft PI, SQL, VBA, MS Access and PowerPoint, and other custom proprietary programs., • Basic working knowledge of GIS software, primarily the ESRI ecosystem, • Competency required in Windows operating environment using MS Office applications, e-mail, and internet programs., • Excellent interpersonal, organizational and teamwork skills needed. PHYSICAL DEMANDS While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to perform routine office tasks. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 15 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. WORK ENVIRONMENT The noise level in the work environment is usually moderate. Contact with staff and public will occur. Travel may be required to attend and/or conduct meetings, conferences, and training. This position may require work on nights, weekends or holidays. Please note that this position will be filled at the level (i.e., Associate Data Scientist, Data Scientist, or Senior Data Scientist) appropriate with the candidate’s experience and qualifications. The NYISO takes pride in recruiting, developing and retaining highly talented individuals. In addition to competitive salaries, we offer a comprehensive benefits package and innovative reward programs. At the NYISO, we realize the importance of balancing the availability of remote work with the inherent value of bringing people together to attain success in the areas of maximum collaboration, relationship building and growth, teamwork, innovation and problem solving, as well as professional development and mentoring. In this role, you will be required to work onsite from our Rensselaer, NY location several days per workweek, with the option to work remotely on the remaining days. You will also be expected to respond to all business needs that may require any increase to the regular onsite requirements. All offers of employment will be made contingent upon the successful completion of a drug screening and background check. The NYISO is an Equal Opportunity Employer and as such, does not discriminate in its hiring or employment practices. #LI-DNI Salary Range $68,900 - $115,200 USD

Job Description: We are seeking a Sr. Revenue Operations Analyst (Data & Systems) to own the quality, reliability, and usability of data across our revenue systems by elevating the quality of processes driving key data points in our Salesforce and Revenue Tech stack. This role will begin with a deep focus on Salesforce data integrity and evolve into designing how data flows seamlessly through the entire go-to-market (GTM) motion, ensuring reps have the right data at the right moment to drive productivity and revenue outcomes. This is a high-impact role at the intersection of systems, process, and analytics. This role is ideal for someone who wants to move beyond reporting into shaping how revenue teams operate. • A Guardian of Data Integrity: You are committed to a "data quality mindset," obsessing over the accuracy and completeness of information as it flows across the entire tech stack to ensure it remains a reliable foundation for business decisions., • A Strategic Architect of Efficiency: You are dedicated to designing frictionless processes that bridge the gap between technical data flows and the representative experience, ensuring that every operational change directly fuels pipeline growth and forecasting precision., • A High-Ownership Results Driver: You take full accountability for the end-to-end execution of complex, cross-functional initiatives, reliably delivering high-quality outcomes even when navigating the ambiguity of a fast-paced environment., • An Impact-Focused Prioritizer: You are committed to quantifying the value of every project, utilizing your attention to detail and analytical skills to manage multiple concurrent initiatives and focus your energy on the highest-value improvements for the organization., • Immediately audit and remediate data quality issues across Salesforce (accounts, contacts, opportunities, activities), • Partner with Sales, Marketing, Partnerships, and Customer Success to identify critical data gaps impacting pipeline visibility and forecasting., • Partner with Enterprise Technology and Data Governance teams to build scalable processes for ongoing data hygiene (automation, monitoring, alerting), • Identify where data friction exists and recommend process improvements to streamline workflows. Partner with Enablement to align workflows with rep behavior and adoption., • Optimize field design, page layouts, and automation to reduce rep burden while improving data capture. Define and enforce data governance standards (field usage, required fields, validation logic, deduplication rules)., • Own how data moves across GTM systems directly impacting reps, • Propose solutions that encompass the rep and leader perspective, • Own enrichment strategy (third-party data, firmographics, technographics) and design "just-in-time data delivery" providing the insights at key moments, • Experience working cross-functionally with Sales, Marketing, and Customer Success teams, • Sophisticated proficiency in Excel and Salesforce reporting. Ability to pull data, analyze, and translate into actionable insights. Snowflake and Tableau are a plus., • Experience with data enrichment tools (e.g., ZoomInfo, Dun & Bradstreet) and deduplication strategies, • Familiarity with sales engagement platforms (Gong, LinkedIn Sales Nav, ZoomInfo), • 4+ years in Revenue Operations or Sales Operations roles in SaaS environment, • 4+ years Salesforce (data model, reporting, automation, governance); CPQ or related Quoting tool experience, • Led governance and optimization of Salesforce data ecosystem, including enrichment tools, integrations, and data quality frameworks to ensure reliable reporting, territory integrity, and pipeline accuracy, • Skilled in documenting business processes, to align technical and business requirements. Experience utilizing Jira, Confluence, and/or Lucidchart for requirements and process documentation, • This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility., • We work in a blended environment that supports collaboration, flexibility, and connection across teams., • We are mission-driven, shaping the future of tech upskillling and delivering impact that matters., • We foster a culture of inclusion and belonging, where everyone can contribute and thrive., • We are always learning, creating an environment where you can take on new challenges, expand your skills, and grow with purpose. This role is primarily performed in an office or home office setting and involves standard computer-based work. Bring yourself. Pluralsight is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws. If you need an accommodation to apply, interview, or perform essential job functions, please visit the ___ to learn how to request an accommodation. Learn more about our commitment to diversity, equity, inclusion, and belonging in our ___. The annual US base salary range for this role is $98,800 - $130,000 USD. Actual compensation will depend on location, skills, experience, and other factors. Additional benefits and bonuses may apply. Applications must be submitted within 90 days after the initial posting date to be considered. Please be aware of recruiting scams. We'll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page. #LI-DV1 #LI-Remote

Datavant is a data platform company and the world’s leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world’s leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you’re stepping onto a high-performing, values-driven team. Together, we’re rising to the challenge of tackling some of healthcare’s most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As Senior Product Manager, you will own the foundational platform, workflow, and infrastructure capabilities that power Datavant’s retrospective coding and reporting ecosystem. This role is responsible for building and evolving foundational services and infrastructure while sitting at the center of Datavant’s coding architecture, connecting data ingestion and ML platforms to in-app experiences. The scope of work includes reports, internal tooling & interfaces, in-app dashboards, reference data management, user management and maintenance of backend infrastructure and services. Success in this role often looks invisible when things work and immediately critical when they don’t. You will navigate competing priorities across products, modernize legacy systems while supporting live operations, and build platforms that enable others to move faster. The ideal candidate combines deep healthcare data expertise with strong product management skills, and thrives at the intersection of product, data integration, analytics, engineering, and operations, balancing delivery velocity with scalability, performance, reliability, and long-term platform health. If you enjoy solving complex systems problems, influencing without direct authority, and building foundations that scale, this role offers outsized impact. • Product Strategy: Own and evolve the product vision, strategy, and roadmap for the Coding core pod within the Retrospective Risk Adjustment Coding Product Suite, • Product Execution: Drive end-to-end execution of the Coding Core roadmap by translating complex, cross-product needs into clear initiatives; partner closely with Engineering and DevOps to sequence work, manage dependencies, make pragmatic tradeoffs, and ensure reliable delivery across shared services and infrastructure., • Partnership with Product Design: Partner with Product Design to shape intuitive, scalable experiences for internal tools and platform surfaces (e.g., reporting delivery interface), ensuring complex systems and data are surfaced in ways that are usable, consistent, and aligned with user needs while balancing UX investments with platform priorities., • Scalability: Ensure systems, reporting and analytics are scalable, performant, observable, and reliable under high-throughput, stateful workloads. Improve observability, traceability, and operational tooling. Reduce manual interventions, support burden, and platform fragility, • Stakeholder Management: Act as the primary product point of contact across Product, Engineering, Operations, aligning diverse stakeholders on priorities, tradeoffs, and delivery timelines; proactively manage expectations, surface risks early, and drive decisions across teams with competing needs., • Experience: 5+ years in product management or data product roles, ideally within healthcare. Must possess strong knowledge of product development practices and SDLC. Proven ownership of platform, infrastructure, or data-heavy systems, • Domain Expertise: Well-versed in the key underlying healthcare data sources that support risk adjustment coding, including standards such as HL7, FHIR, CMS files, etc., • Cross-Functional Partner: Experience collaborating with Data Science, Engineering, Data Integrations, Machine Learning / Infrastructure, and Client teams to develop solutions, • Execution-Oriented: Comfortable owning complex problems and delivering results in fast-paced, ambiguous environments We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is:$170,000—$200,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement ___. ___, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it ___ by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it ___. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our .

About the Principal Product Manager, LLM Innovation at Headspace: We are seeking a Principal Product Manager, LLM Innovation to lead how Large Language Models (LLMs) are applied across Headspace to unlock new product capabilities, elevate member experiences, and drive business impact. Sitting at the intersection of product strategy, AI, and customer needs, this role owns the roadmap for LLM-driven innovation, guiding cross-functional teams to explore, validate, and scale generative AI solutions that support personalized care and engagement throughout the wellness journey. As the product leader in this space, you will translate emerging LLM opportunities into practical, user-centered products that align with business goals, accelerate responsible innovation, and position Headspace as a leader in applied generative AI within mental health and well-being. What you will do: • Define and own the vision, strategy, and roadmap for LLM-based product innovation across Headspace, • Identify, prototype, and validate high-impact generative AI use cases in partnership with engineering, research, and design, • Translate complex LLM capabilities into intuitive, valuable user experiences, • Drive cross-functional alignment across product, data science, design, go-to-market, and operations, • Establish scalable frameworks, best practices, and reusable systems for LLM integration, • Evaluate external tools, vendors, and partnerships to inform build vs. buy decisions, • Define success metrics and KPIs to ensure LLM initiatives deliver measurable user and business outcomes, • Serve as an internal thought leader and champion for responsible, forward-looking AI innovation What you will bring: Required Skills: • 10+ years in product management with at least 3+ years leading 10+ years of product management experience, including 3+ years leading AI or machine learning initiatives, • Strong technical fluency in Large Language Models (LLMS), generative AI, natural language processing, and AI-driven product development, • Proven ability to take emerging technologies from exploration to scalable product impact, • Strategic thinker with the ability to execute, balancing long-term vision with delivery, user-first mindset with a track record of translating technical capabilities into customer value, • Exceptional communication and cross-functional leadership skills, • Strong understanding of the generative AI landscape, including vendors, research trends, and regulatory considerations Location: We are currently hiring this role in San Francisco (hybrid), Los Angeles (remote), New York City (remote) and Seattle (remote). Candidates must permanently reside in the US full-time and be based in these cities. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You’ll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model. Pay & Benefits: The anticipated new hire base salary range for this full-time position is $205,200-$327,750 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process. At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. About Headspace Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it. At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come. Why You’ll Love Working Here: • A mission that matters—with impact you can see and feel, • A culture that’s collaborative, inclusive, and grounded in our values, • The chance to shape what mental health care looks like next, • Competitive pay and benefits that support your whole self How we feel about Diversity, Equity, Inclusion and Belonging: Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out ___ if you need any assistance completing any forms or to otherwise participate in the application or interview process. Headspace participates in the ___. Privacy Statement All member records are protected according to our___. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship. As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm. For how how we will use the personal information you provide as part of the application process, please see:

Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. By attracting top talent and leveraging cutting-edge technology, we’re enabling people to unlock real financial progress. Sound like a mission you can get behind? We’re looking for mission-driven, collaborative, data-fluent product thinkers to join our Product Team at all levels: Product Manager, Senior PM and Principal PM. The Impact You’ll Make: For many, the financial system is a series of closed doors. At Mission Lane, the Product team builds the keys. We don’t just serve credit profiles; we serve people with stories, challenges, and goals. You’ll drive forward our mission by architecting a credit card product experience that acts as a launchpad for human potential; moving beyond simple credit "access" to create a clear, actionable path to progress. This is a rare moment to join a company at a true inflection point. You won’t be a cog in a machine; you’ll be a primary builder in a maturing organization, owning and executing a roadmap that transforms how we use data and technology to keep Mission Lane credit card customers safe, informed, and moving forward. As a Product Manager at Mission Lane, you will: • Own high-stakes decision systems, translating complex credit policy and data into real-time actions that determine how and when we extend credit., • Design for judgment and scale, ensuring our automated systems and human-in-the-loop processes work in harmony to surface risk without disrupting legitimate customers., • Partner closely with Engineering, Data, and Credit teams to operationalize complex underwriting or payment models that balance business unit economics with customer success., • Leverage SQL and data analytics to break down high-level metrics into the underlying drivers that move the needle for both the company and the consumer., • Act as a collaborative disruptor, iterating rapidly to launch experiments that improve our acquisition "brain" or post-acquisition journeys., • Drive alignment across the organization by crafting clear narratives and roadmaps that show how technical choices lead to better outcomes., • Proactively identify potential friction points across teams and functions, advocating for solutions that prioritize the long-term health of our customer base. Minimum Qualifications: • ~3+ years (PM), ~5+ years (Senior), or ~8+ years (Principal) of product management experience, managing technical products from ideation to rollout., • Technical proficiency and the ability to engage in deep conversations with engineers regarding system architecture, APIs, and data implementations., • Proficiency using SQL to query data, investigate decision logs, and analyze performance funnels., • A proven track record of delivering complex projects in regulated or data-heavy environments., • A structured problem-solving approach and the ability to make independent decisions in ambiguous, high-stakes situations., • Experience defining roadmaps that optimize for both enterprise value and customer well-being. Preferred Qualifications: • Experience in fintech, lending, or payments, particularly in roles involving risk, fraud, or customer lifecycle management., • Experience integrating AI or machine learning models into live products to drive efficiency or better decisioning., • Experience in high-growth environments where the product experience is the primary driver of customer acquisition and retention. Compensation: Annual full-time starting base salary ranges: • PM: $103,000 - $123,000, • Senior: $125,000 - $170,000, • Principal: $172,000 - $186,000 These roles are eligible for additional compensation in the forms of participation in our annual incentive and equity programs. Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role. Mission Lane also offers a comprehensive benefits plan, which includes paid time off, 401(k) match, a monthly wellness stipend, health/ dental/ vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-friendly work environment. About Mission Lane: Founded in December 2018, ___ is a purpose-driven fintech company based in the U.S., with headquarters in Richmond, Virginia. It all started with a realization: nearly fifty percent of the adult population in the U.S. doesn’t have access to a clear line of credit. Most traditional credit card companies either overlook or overcharge this group because they have less-than-perfect credit scores or no scores at all. We decided this just wouldn’t do. In partnership with our sponsor banks, we offer credit cards under the Mission Lane brand name, with better, clearer terms, and a more refined customer experience than the alternatives available to people working hard to improve their credit. To date, over four million consumers have chosen Mission Lane, earning high customer ratings on Credit Karma for its market segment and industry leading Net Promoter scores. Mission Lane has cumulatively raised over $600 million of equity from leading investors, including Invus Opportunities, QED Investors, LL Funds, funds affiliated with Oaktree Capital Management, and other leading investors. Our commitment to a workplace built on respect and dignity is guided by our core value of Unity. We believe that everyone plays a vital role in our shared purpose, and we actively cultivate an environment where all individuals have the opportunity to do their best work. By fostering a culture of empathy and collaboration, we create a strong sense of belonging and support for every team member. Mission Lane is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other protected status. Mission Lane provides reasonable accommodations to applicants who need them for medical or religious reasons, as required by law. Applicants can initiate an accommodation request by contacting ___. Mission Lane is not sponsoring new applicant employment authorization and please, no third-party recruiters. Application Integrity: Our cardholders trust us with their financial well-being, and this trust starts with the integrity of the people on our team. We're looking for team members who share our dedication to transparency and truth. Please verify that the information in your application is accurate and complete. Providing any information to Mission Lane that is not completely truthful at any point during the application or hiring process may result in removal from the hiring process, disqualification from future opportunities, withdrawal of an offer or other sanctions for candidates and, in addition for employees, disciplinary action, up to and including termination of employment.

Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022, we are a rapidly growing, well-funded company with a remote-first organization spread globally. Our mission is to empower innovators and enterprises to unlock AI's true potential, driving technology and transforming industries. Join us as we shape the future of AI. You'll join the marketing team at a pivotal moment. Runpod is scaling from a product-led growth engine into a dual-motion company that also serves customers from startup to enterprise. The marketing team works cross-functionally to drive awareness, product adoption, and revenue across our full customer base. This is a foundational role here at Runpod. You'll work at the intersection of product, marketing, and sales to ensure Runpod's GTM motion is sharp, defensible, and scalable. You'll be responsible for articulating why Runpod wins in the competitive neocloud market and how we differentiate as the AI infrastructure platform of choice. You'll be the strategic voice that translates Runpod's differentiation into compelling narratives and educational content that drive awareness, adoption, and expansion. You'll own the full product and content marketing function, from positioning and messaging to launch strategy, competitive intelligence, sales enablement, customer insights, and middle-of-funnel content development. This role uniquely combines strategic product marketing with hands-on content creation, all while operating in a lean, AI-enabled model. You'll not only define what to say and who to say it to, but you'll also create the long-form, technical content that educates prospects, builds trust, and accelerates buying decisions, leveraging AI tools to scale output, maintain quality, and operate efficiently as a team of one initially. You need knowledge and the aptitude in marketing highly technical products and solutions such as understanding the AI infrastructure, AI/ML workflows, serverless architecture, and cloud economics, and being able to distill complex concepts into clear, relatable narratives that resonate with technical buyers and business decision-makers. The ideal candidate has deep experience in technical B2B product marketing, is a strong writer who can create compelling long-form content, is proficient at leveraging AI to scale work, and has a track record of scaling GTM motions from product-led growth into larger deals. Responsibilities: • Own and evolve Runpod's core positioning, messaging hierarchy, and value propositions across all customer touchpoints., • Develop messaging that differentiates Runpod in the market and clearly articulates our technical and experience advantages., • Create and maintain a messaging framework that balances technical depth with accessibility for business decision-makers., • Partner with brand and demand gen teams to ensure messaging consistency across all channels (web, docs, sales, community)., • Own the creation of long-form, technical content that educates prospects and accelerates buying decisions—including comparison guides, technical explainers, ROI frameworks, use case deep-dives, architecture guides, and competitive analyses., • Develop and execute an SEO/GEO-driven content strategy that captures high-intent search traffic, ranks for critical buying keywords, and drives qualified inbound pipeline., • Analyze content performance (engagement, conversion, pipeline influence, organic traffic, keyword rankings) and iterate on formats, topics, and distribution strategies., • Build a repeatable, AI-assisted content creation process that can scale as the team grows, including templates, briefs, and quality standards., • Lead GTM strategy for all major product launches, pricing changes, and market expansions, from concept through launch and post-launch optimization., • Drive cross-functional alignment across product, marketing, and sales to ensure coordinated, high-impact launches., • Own competitive intelligence: track the neocloud market landscape, synthesize insights, and translate them into actionable GTM strategies and content., • Develop customer evidence programs (case studies, testimonials, reference customers) that build credibility and de-risk buyer decisions., • Conduct customer research (interviews, surveys, win/loss analysis) to understand buyer motivations, decision criteria, pain points, and objections., • Synthesize product usage data, customer feedback, and market signals to inform messaging, positioning, content strategy, and product prioritization., • Serve as the voice of the customer in internal strategy discussions, ensuring GTM and content decisions are grounded in real customer needs and market dynamics., • Establish the product marketing and content function at Runpod: build processes, templates, and systems that scale as the company and team grow. Requirements: • 7+ years of product marketing experience in technical B2B or developer-focused companies, with at least 3 years in a senior or leadership role., • Proven ability to create high-quality, long-form technical content that educates technical and business audiences, drives conversion, and influences pipeline., • Deep technical fluency: you can understand complex technical concepts (GPU infrastructure, AI/ML workflows, cloud economics, distributed systems, serverless architecture) and translate them into clear, accessible narratives., • Strong writing skills and storytelling ability: you're a confident writer who can produce polished, compelling content without heavy editing. You understand how to make technical topics engaging and relatable., • SEO and inbound marketing expertise: you understand keyword research, on-page optimization, content structure for search, and how to create content that ranks and converts., • Proven experience leveraging AI tools to scale content production, research, analysis, and workflows while maintaining quality and authentic voice., • Ability to operate in a lean model: you're resourceful, efficient, and comfortable wearing multiple hats to get things done without a large team., • Deep expertise in product-led growth and sales-assist motions, ideally with experience scaling a company from PLG into larger deals., • Proven track record of driving revenue impact through positioning, messaging, content, launches, and sales enablement in competitive, fast-moving markets., • Data-driven decision-making: you use metrics (engagement, conversion, pipeline influence, organic traffic, win rate, CAC:LTV) to inform strategy and measure content and GTM effectiveness., • Exceptional strategic thinking and execution: you can diagnose GTM gaps, develop clear strategies, and ship high-quality work quickly., • Cross-functional leadership: you've successfully influenced product, sales, and marketing teams without direct authority., • Bias toward action and speed: you thrive in ambiguous, fast-paced environments and prefer shipping over endless iteration., • Successful completion of a background check. Preferred: • Experience in cloud infrastructure, AI/ML platforms, GPU compute, or developer tools (especially serverless, infrastructure-as-a-service, or HPC environments)., • Understanding of pricing dynamics, technical differentiation, competitive landscape, and buyer behavior in the neocloud space., • Experience working with technical communities (open source, AI/ML research, developer ecosystems) and translating community insights into GTM strategies and content., • Strong analytical and data skills: comfortable with SQL, analytics tools, and synthesizing product usage data and content performance into actionable insights. What You’ll Receive: • The competitive base salary for this position ranges from $160,000 to $220,000. The final salary will be determined during the interview process, based on factors such as the candidate's experience, qualifications, and location., • Stock options, • The flexibility of remote work with an inclusive, collaborative team., • An opportunity to grow with a company that values innovation and user-centric design., • Generous vacation policy to ensure work-life harmony and well-being., • Contribute to a company with a global impact based in the US, Canada, and Europe. Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas

$20 - $70/hourpayKritaIllustrationAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Krita Expert Job Type: Contract Location: Remote Job Summary Join our customer's team as a Krita Expert and help shape the future of creative AI systems. We’re seeking talented illustrators with a passion for digital artistry and deep expertise in Krita to execute structured, end-to-end illustration workflows within a virtual environment. Your creative process will directly contribute to training next-generation AI on authentic artist behaviors. Key Responsibilities • Develop full-fledged digital illustrations in Krita, from initial sketch to final polish, while adhering to best practices and structured layer management., • Perform hour-long, live illustration workflows in a virtual machine, capturing each step of your process for AI training purposes., • Demonstrate and articulate your creative decision-making, effectively communicating both written and verbally with the team., • Collaborate closely with project coordinators to ensure workflows meet high standards and align with AI research objectives., • Utilize advanced Krita features and tools, sharing insight into professional techniques and methodologies., • Provide clear documentation and feedback on your workflows to support continuous improvement of AI systems., • Uphold a high level of organization, structure, and quality across all artwork produced. Required Skills and Qualifications • Demonstrated expertise in Krita with a professional or extensive freelance portfolio showcasing complete illustration projects., • Mastery in digital illustration and structured layer-based workflows from rough sketch to refined artwork., • Strong written and verbal communication skills, with a focus on articulating creative processes and feedback., • Hands-on experience in using Krita’s advanced features, brushes, and layer management tools., • Ability to consistently work independently within virtual environments and meet project goals., • Meticulous attention to detail and a commitment to producing polished, high-quality art assets., • Proven ability to document and communicate workflow steps clearly for technical and non-technical audiences. Preferred Qualifications • Previous experience training or collaborating with AI or machine learning teams on creative projects., • Background in art education or content creation around digital illustration tools., • Familiarity with recording and explaining digital illustration workflows for educational or research purposes.

$6 - $6/hourpayIMUAttention to DetailVideo CaptureAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Latin America and the Caribbean. Selected countries include: Mexico, Costa Rica, Panama, Dominican Republic, Brazil, Argentina, Colombia, Chile, Uruguay, Jamaica, Bahamas, and Barbados. Timeline: Applications close on May 8th at 5 pm PST. Job Summary: Join our customer's team as a Data-Video Generalist and make a direct impact on the future of activity recognition and robotics. In this expert-level, remote role, you will contribute vital synchronized motion and video data, helping to advance cutting-edge machine learning models for next-generation technologies. Key Responsibilities: • Capture precise motion data using your smartphone’s IMU sensors during specified physical activities., • Record synchronized video footage to ensure data accuracy and enhance the integrity of all collected motion data., • Follow detailed technical protocols to consistently meet strict quality, labeling, and determinism standards., • Deliver a minimum of 10 hours of high-quality, approved video data each week throughout the project’s duration., • Communicate clearly and proactively with the team to clarify requirements and share insights on data collection practices., • Maintain timely and reliable delivery of your outputs, aligned with project milestones and expectations., • Participate in device compatibility checks and an innovative, AI-enabled interview process as part of onboarding. Required Skills and Qualifications: • Access to a head strap to be able to record both hands within 48 hours of the start date., • Supported devices include the iPhone 11 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later., • Meticulous attention to detail and a proven record of following standardized protocols., • Demonstrated ability to consistently manage output and meet deadlines in a dynamic, data-driven environment., • Exceptional written and verbal communication skills essential for documentation and remote collaboration., • Advanced tech-savviness and experience with mobile devices for sensor and video data capture., • Physical ability to engage in repetitive movement tasks safely and effectively., • Access to a compatible smartphone capable of high-fidelity data collection. Preferred Qualifications: • Familiarity with structuring large-scale datasets for AI and robotics applications. Compensation is output-based; experts are paid per minute of submitted video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Videos must be at least 2 minutes in length. Experts must submit a minimum of 10 hours of video per week. Hands-Free Capturing: This project uses a smartphone head strap for video. It’s a nice-to-have if you already own one. If you don't own one, once selected, we will offer you a sign-up bonus to cover the cost of this equipment to secure your readiness to work. We Move Fast: We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! As the Engineering Manager of Collision Avoidance, you will lead a development team focused on preventing and mitigating safety-critical collision scenarios. This team develops models that tackle fundamental questions about how we can guarantee the high bar of safety for end-to-end systems, and enable configurability, interpretability, and validation at scale. These models play a significant role in enabling L2+, L3, and beyond, requiring innovation in both algorithms and validation strategies. We are looking for a system-oriented leader with cross-functional experience that is able to bring the worlds of machine learning, controls, and safety together. Key responsibilities: • Help define and drive the Collision Avoidance roadmap, lead technical discussions and guide direction where needed., • Build a resilient team which prioritises effectively, anticipates the needs of the business, and maintains a culture of impact., • Understand Wayve’s end-to-end approach and how it maps to AV 1.0, drawing parallels in our development story and highlighting key advantages. This may include external engagements where necessary., • Dive into data analytics, constructing evaluation suites, and get in-vehicle experiences from time to time to ground your understanding of the system., • Drive cross-functional initiatives through effective communication, working through organisational boundaries when necessary to deliver on company goals and priorities. In order to set you up for success as an Engineering Manager at Wayve, we’re looking for the following skills and experience. Essential • Proven track record of managing engineering teams., • Solid understanding of machine learning fundamentals., • Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables., • Track record of promoting software engineering best practices and excellence within the team., • Demonstrated ability to manage software engineers and grow their careers., • Good foundational coding knowledge and experience. Desirable • Experience with planning, control, and systems integration for autonomous vehicles., • Experience with performance evaluation of embodied AI systems., • Development experience in C++., • Experience with generative AI and simulation platforms., • Experience developing ML systems., • Knowledge of automotive safety regulations and their development processes. This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit ___ To learn more about what drives us, visit ___ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-JB1 We’re looking for a Product Manager to work on exciting, high-growth products related to Generative AI and Healthcare. Using your product management expertise, combined with your drive and passion for making a difference, you’ll work with multiple talented teams across Qventus to discover, define, execute, and launch new products & features, as well as to improve and optimize our existing products. Key Responsibilities: • Guide a team of engineers, data scientists, designers, and clinical experts to ship great products that solve meaningful customer problems, • Discover and validate new product opportunities through a deep understanding of our users, market, technology, strategy, and data, • Define the vision, strategy, problems to solve, and key requirements for the solutions that address the opportunities you identify, • Get involved with the design and software development process, and manage the product backlog, • Follow through to launch and iterate on products, ensuring that they make the desired impact on our users and our business, • Develop and maintain strong relationships with users, buyers, and external thought leaders to inform your work What We’re Looking For: • Mastery of navigating enterprise products/solutions through the full product lifecycle, with, • a track record of rapidly shipping impactful products, • Comfort developing products that heavily leverage data, analytics, and AI / machine learning, • Proven track record of collaboration across all functions in an enterprise SaaS healthcare technology business (engineering, professional services, clinical operations, etc.), • Ability to span altitudes from vision / evangelism to “getting into the weeds” with high attention to detail and strong organizational skills, • Excellent written and verbal communication skills; strong, professional presence in working with customers / partners (including C-Suite executives), • Willingness to “roll up your sleeves” and pitch in / fill in gaps when a team needs help, • Deep understanding of healthcare operations., • At least 5 years of experience in product management, with a proven track record of shipping impactful products Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. The salary range for this role is $150,000 to $185,000. We pride ourselves on providing meaningful equity as part of our compensation as well. This salary represents market data's middle to the high end across different geographies. We consider several factors when determining compensation, including location, experience, and the role’s responsibilities. Salary/OTE is just one component of Qventus’ total rewards package. Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at Qventus. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards. Salary Range$150,000—$185,000 USD Qventus values diversity in its workforce and proudly upholds the principles of ___. We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers. Qventus participates in the ___ program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with ___. In compliance with the ___, Qventus provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice. *Benefits and perks are subject to plan documents and may change at the company's discretion. *Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We are seeking a Staff Developer on our Growth Team, focused on building net-new self-serve experiences, evolving the underlying systems and integrations that power Product Growth, and driving rapid experimentation and feedback loops across our expanding B2B product suites. You’ll serve as the technical DRI for new growth capabilities, owning architectural decisions and ensuring cohesive execution across teams. This is a remote opportunity within Canada and the US. What we're looking for: * 8+ years of professional software development experience in a production SaaS environment. * Hands-on experience building and evolving experimentation platforms (feature flagging systems, A/B frameworks, event pipelines, analytics integrations). * Proven ability to design scalable instrumentation strategies and ensure high data integrity across complex product surfaces. * Experience leading cross-team technical initiatives that span frontend, backend, and data systems. * Proficiency in Go. * Demonstrated ability to lead cross-team technical initiatives and influence engineering direction beyond your immediate team. * Excellent written and verbal communication skills, with the ability to align engineering, product, and data stakeholders around complex technical decisions. What you can expect: * Play a foundational role in shaping how Product Growth operates across 1Password’s enterprise offerings. * Identify and drive platform-level improvements that enable consistent experimentation capabilities across multiple product surfaces. * Partner with product, design, and data leaders to ensure experiments are technically sound and strategically aligned. * Establish guardrails and best practices to ensure experimentation velocity does not compromise performance, reliability, security, or data integrity. * Mentor engineers and contribute to leveling up experimentation fluency across the organization. * Influence roadmap decisions by grounding strategy in technical constraints and opportunity analysis. * Maintain hands-on involvement in implementation work where architectural depth is required. Bonus points for: * Experience scaling product-led growth in a B2B SaaS organization. * Experience designing experimentation systems in compliance or security-sensitive environments. * Familiarity with analytics platforms (e.g., Amplitude, Looker, Qualtrics). USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $167,000 CAD and $242,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, ___. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See ___ for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing ___. For additional information see our ___.

ezCater is the leading food for work technology company in the US, connecting anyone who needs food for their workplace to over 100,000 restaurants nationwide. For workplaces, ezCater provides flexible and scalable solutions for everything from recurring employee meals to one-off meetings, all backed by 24/7 customer service with real humans. ezCater also enables companies to manage their food spend in a single, customizable platform. For restaurant partners, ezCater helps them grow their business by bringing them more orders and new high-value customers. We're backed by top investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille. Are you passionate about data? How about leveraging data to drive meaningful impact across a fast growing two-sided marketplace? Have opinions on how to best enable data scientists across a billion-dollar company to do elastic workforce planning or real-time customer lifetime value prediction? Then we should definitely talk! The Data Technology team at ezCater is growing! As we look towards the second half of 2025 and beyond, data is a key strategic component across the company - from advanced, real-time machine learning to business intelligence and data governance. Data is our differentiator and how we will drive real, meaningful impact to the $100+billion Catering industry. We are hiring a Senior Data Engineer to join our expanding team in solving complex data and platform challenges to accelerate our growing business. The ideal candidate lives and breathes data while driving systems and architecture best practices. They care about driving business impact through producing solid and efficient infrastructure alongside accurate and performant data. You will have the opportunity to work directly with executive stakeholders as we embark on a massive-scale data modeling effort across the organization, so flexibility and the ability to translate business requests to implementation are key. What you’ll do: • Write and ship a lot of code., • Work directly with analysts and stakeholders to refine requirements, nail down logic, and debug and qualify produced data sets to ensure they meet the underlying business needs., • Drive architectural decisions and thoughtfully balance trade-offs in system design., • Lead cross-functional data initiatives., • Champion high standards in data quality, security, and discoverability., • Translate complex technical challenges into clear solutions., • Design and develop high-performance data pipelines. Adhering to SDLC, including CI/CD and best practices., • Identify and drive opportunities to optimize and/or scale existing parts of our stack., • Utilize tooling and automation to improve developer efficiency., • Monitor data systems to ensure quality and availability while seeking to drive down costs., • Contribute to the team processes and community., • Mentor other Data Engineers., • Be part of our innovation and transformation story. What you have: • Strong experience with data warehousing, data lakes, ELT process, and enterprise data platforms such as Snowflake (preferred), Redshift & BigQuery., • Experience with building performant data pipelines across disparate systems., • Experience with cloud platforms such as AWS (preferred), GCP & Azure., • Mastery in SQL and experience in Python., • Ability to work independently and collaboratively., • Willingness and ability to be part of an on-call rotation, occasionally working non-business hours to address critical system alerts and maintain service uptime., • An open mind and willingness to be flexible. We have a large and complex business, and believe in driving real value out of every project we do., • Our stack is Snowflake, dbt, Fivetran, Airflow, AWS, Sagemaker, MLFlow, Kubernetes + Docker, Monte Carlo, Hightouch and Python for custom ETL and data science integrations. Experience with the above is a nice-to-have, and a desire to learn is a must., • Experience with marketing data is preferred, but not required., • A sharp mind, a soft heart and a large funny bone. The national total target cash compensation range for this position, including base salary and bonus target, is $158,000–$190,000 annually.* *Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance). Please have fun with the Cover Letter portion of the application! It does not need to follow “traditional” cover letter guidelines - we would love for you to write 150-500 words explaining why you are interested in ezCater and the role, and highlighting anything else you think we should know! ezCater does not sponsor applicants for work visas or legal permanent residence. What You’ll Get from Us: You’ll get a terrifically compelling experience in an innovative, high performing environment. You’ll get to work with engaged and passionate colleagues on challenging and impactful projects. You will have opportunities to grow in your career, and work in a place that values work/life harmony. Oh, and you’ll get all this: Market competitive salary, stock options that you’ll help make worth a lot, 12 paid holidays, flexible PTO, 401K with ezCater match, health/dental/FSA, long-term disability insurance, mental health and family planning resources, remote-hybrid work from our awesome Boston office OR your home OR a mixture of both home and office, a tremendous amount of responsibility and autonomy, wicked awesome co-workers, ___ (and many more goodies) when you’re in our office, and knowing that you helped transform the food for work space. ezCater is an equal opportunity employer. We embrace humans of every background, appearance, race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not employ jerks, even brilliant ones. Following a conditional offer of employment, ezCater may require a background check. For information on how ezCater collects and uses job applicants' personal information, please visit our ___ #BI-Remote

About Cleerly We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We're seeking a Senior Software Engineer to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll own the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products. Responsibilities • Design, build, and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms., • Design extensible system architectures and make pragmatic trade-offs that balance performance, security, and maintainability., • Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability., • Ensure high availability and observability of our services; improve alerting, logging, and incident response across the stack., • Set and uphold strong engineering standards via code reviews, technical mentorship, and design documentation., • Lead technical design reviews and system decomposition efforts across teams., • Proactively identify risks and gaps in operational or architectural resilience, and drive durable improvements., • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation., • Design and implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards, • Contribute to the necessary technical documentation required for regulatory submissions. Requirements • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)., • 8–12 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)., • Demonstrable capability in designing, implementing, and securing RESTful web services, • Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes)., • Experience with AWS, GitHub, and continuous integration pipelines, • Proven track record of architecting and delivering scalable systems in production environments., • Experience mentoring engineers and raising the technical bar through reviews and design feedback., • Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability., • Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks)., • Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders. Preferred: • Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements., • Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. Job duties, activities, and responsibilities are subject to change by our company. The base salary range for this role varies by location and is aligned to market benchmarks. • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Final compensation is determined based on location, experience, skills, and internal equity. This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges: • Base Salary: $153,000 - $179,000, • TTC: $176,000 - $206,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact, • T: Teamwork- together we win Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (___. All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

We are seeking an experienced NetSuite Developer with a strong background in AI-driven solution development, warehouse management systems (WMS), and retail or B2C e-commerce environments. This role is ideal for a developer who can bridge business needs with technical innovation—leveraging AI technologies to automate processes, enhance decision-making, and integrate advanced applications directly into NetSuite. You will play a key role in designing, building, and maintaining custom NetSuite applications and integrations that incorporate AI/ML models, third-party AI tools, and intelligent process automation. This position requires hands-on technical expertise, a problem-solving mindset, and the ability to work cross-functionally with operations, fulfillment, customer experience, and e‑commerce teams. Key Responsibilities NetSuite Development & Customization • Design, build, and maintain custom NetSuite scripts (SuiteScript 1.0/2.0/2.1), workflows, SuiteTalk integrations, SuiteBuilder customizations, and saved searches., • Develop and optimize integrations between NetSuite and external AI services, WMS platforms, and e-commerce systems., • Enhance system performance, reliability, and scalability across modules including Order Management, Inventory, Fulfillment, and Finance., • Collaborate with data teams to structure and utilize data for machine learning and predictive analytics. Warehouse Management Systems (WMS) • Build and maintain integrations between NetSuite and WMS systems including RF-SMART., • Support real-time inventory syncing, pick/pack/ship workflows, and warehouse automation initiatives., • Troubleshoot performance issues and streamline warehouse operations through technology. E-Commerce / B2C Environment Support • Work with marketing, merchandising, and e-commerce teams to improve order flow, product data syncs, promotional logic, and customer experience., • Support integrations with Shopify, Magento, Liftoff, or custom storefronts., • Optimize high-volume transaction processing and customer workflows. AI, Machine Learning & Intelligent Automation • Design and integrate AI/ML models into NetSuite workflows, using:, • Generative AI (GPT models or similar) for summarization, recommendations, and workflow automation., • Predictive analytics for demand forecasting, inventory optimization, and fulfillment routing., • NLP (Natural Language Processing) for automated extraction, classification, and document interpretation., • RPA (Robotic Process Automation) and intelligent process automation to eliminate manual tasks., • Build integrations with AI APIs using RESTful interfaces, webhooks, and middleware platforms (Celigo, Boomi, Workato, Mulesoft)., • Collaborate with data teams to prepare structured datasets for machine learning training, validation, and production deployment., • Implement monitoring, logging, and quality controls for AI-enabled solutions. Technical Leadership • Ensure best practices in coding, documentation, version control, and system security., • Translate business requirements into technical specifications for scalable, future-proof solutions., • Lead code reviews and provide guidance to junior developers or cross-functional partners. Required Qualifications • 5+ years of professional NetSuite development experience, including SuiteScript and SuiteTalk., • Experience designing and implementing AI-based solutions (e.g., OpenAI, Azure Cognitive Services, Google Vertex AI, custom ML models)., • Strong background in WMS platforms and warehouse process integrations., • Expertise in e-commerce or B2C/retail systems, including order management and fulfillment workflows., • Proficiency with REST/SOAP APIs, JSON, JavaScript, and modern integration frameworks (e.g., Celigo, Boomi, Workato)., • Solid understanding of inventory, supply chain operations, and omnichannel retail., • Ability to work with cross-functional teams in a fast-paced environment. Preferred Qualifications • Experience with Shopify, Magento, BigCommerce, or similar platforms., • Knowledge of data engineering or MLOps fundamentals., • Familiarity with NetSuite WMS, Smart Count, or third-party WMS add-ons., • Background in process automation, RPA, or workflow optimization., • Certification: NetSuite SuiteFoundation, SuiteCloud Developer, or AI-related credentials. Benefits & Perks: • Medical, dental and vision insurance, • Paid time off, • 401(k) with matching, • Cool swag! Boundless is Your Merch Media Agency®, where creative ideas meet results-driven execution. As an industry-leading branded merchandise agency, we fuse agency-level creative with enterprise-level solutions to craft unforgettable merch experiences that ignite Brand Love™. Our team brings strategy, storytelling, and design to life through product—and we don’t just follow trends, we spark them. Whether we’re building ecommerce ecosystems, launching viral gifting campaigns, or decoding brand archetypes through our BrandEQ™ methodology, we do it with style, strategy and soul. Join the team that’s rewriting the playbook on branded merch—and having a damn good time doing it. Boundless has been recognized in: • 2025 PPAI Best Places to Work, • Top 20 ASI and PPAI Distributor At Boundless we welcome all applicants regardless of gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, pregnancy status, veteran status, or any other differences.

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Team: The AlphaSense Product Team is a dynamic group driving innovation in AI technology for today’s knowledge workers. As part of this team, you will work on cutting-edge products that empower our customers and shape the future of decision-making. The Expert Research Mission is focused on revolutionizing the way our customers conduct expert calls and consume the end call transcripts. You will empathize with our customers and identify highest priority pain points to investigate and define opportunities with clarity and conviction. You'll be part of our culture that thrives on creativity, customer satisfaction, and ongoing growth. About the Role: We are seeking a visionary and results-oriented Principal Product Manager to join our Expert Research team. This is a critical role focused on reshaping how we identify, attract, and retain the world's leading experts. You will own the core expert acquisition funnel and be responsible for building the largest, highest-quality database of primary information in the industry. With an AI-first mindset, you will partner with design, engineering, and operations teams, leveraging artificial intelligence and machine learning to solve complex data challenges, automate workflows, and dramatically improve the scale and quality of our expert network. This role is fundamental to advancing our shared mission to empower professionals with AI-driven market intelligence. Who You Are: • Strong Customer Orientation: You are obsessed with understanding user needs and pain points, using interviews, surveys, and usability testing to validate hypotheses and inspire innovation. Have direct experience as an Investment Banking Analyst or as one of our core buyside customers (Hedge Fund, Venture Capital, Private Equity, or Asset Management)., • Analytical & Data-Driven: You have an analytical mindset and can balance business goals with technical capabilities. You are comfortable with data analysis and can leverage tools like SQL to make informed decisions., • Clear Communicator: You can effectively communicate a product roadmap and priorities to cross-functional partners, gaining alignment and buy-in to drive high-impact projects., • Adaptable & Resilient: You can adjust and iterate quickly, proactively addressing challenges and mitigating risks to ensure project success in a fast-paced environment., • AI-First Mindset: You think in terms of systems, models, and data. You have hands-on experience leveraging AI, machine learning, and LLMs to solve complex data and workflow problems. You are passionate about staying on top of emerging AI tools and trends. What You’ll Do: • Champion the customer perspective: Shape and execute AI product strategies that directly address user needs and business goals., • Collaborate across teams: Work side-by-side with engineering, design, and product marketing to build, launch, and optimize innovative AI-first solutions tailored to our customers., • Identify opportunities: Analyze market trends, emerging AI models, and competitor moves to identify where we can leap ahead., • Execute and deliver: Lead the end-to-end product development lifecycle, from ideation and experimentation through to launch, post-launch analysis, and iteration., • Engage with customers: Gather feedback, run user sessions, and translate insights into actionable product enhancements. For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. You may also be offered a performance-based bonus, equity, and a generous benefits program. Base Compensation Range $190,000 - $250,000 USD AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: • AlphaSense never asks candidates to pay for job applications, equipment, or training., • All official communications will come from an @___ email address., • If you’re unsure about a job posting or recruiter, verify it on our ___. If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Role Information: • Job Title: Jr. Full Stack Developer, • Work Location: Remote, • Employment Type: Full-time, • Employment Status: Exempt, salaried, • Visa sponsorship is not available for this position., • Must reside in the United States., • We are not accepting applicants for remote workers in California, Illinois, and New York at this time. Applications from any of these states can not be considered.Compensation:, • $106,878 - 132,206 based on number of years of experienceWe are looking for a motivated and technically sharp Jr. Full Stack Developer to join our growing engineering team in the utilities and energy sector. In this role, you will contribute to the design, development, and maintenance of scalable, data-driven applications that power critical infrastructure solutions. You'll work closely with cross-functional teams including R&D, operations, and client-facing groups to deliver AI-enhanced software that makes a real impact on how energy is monitored, managed, and optimized. Key Responsibilities: • Independently write, test, and deploy clean, maintainable code across both front-end and back-end systems, • Design and consume RESTful APIs that support real-time data exchange between utility systems and end-user applications, • Integrate AI and machine learning models into existing and new application workflows, • Troubleshoot and resolve technical issues across the full application stack with minimal supervision, • Participate actively in sprint planning, stand-ups, and retrospectives as part of an agile development team, • Communicate technical decisions and trade-offs clearly to both technical peers and non-technical stakeholders, • Adapt quickly to evolving project requirements and emerging technologies in the energy/utilities space, • Collaborate with R&D and operations teams to prototype, test, and iterate on new features Required Qualifications:, • Successfully pass background check for cybersecurity site access., • 2–5 years of professional Full Stack Development experience with a proven track record of delivering production-ready applications, • 1+ years of experience in or alongside an R&D environment, with the ability to translate research concepts into functional software, • 2+ years of hands-on proficiency in Python, .Net Core, Go, React, and XJS, • Demonstrated experience with AI/ML technologies, including model development, LLMs/generative AI, or AI-powered analytics, • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams, • Ability to manage multiple priorities in a fast-paced, agile environment Preferred Qualifications:, • Experience with predictive monitoring systems, condition-based monitoring, or real-time alerting platforms — particularly in utility or energy contexts, • Master's degree in Computer Science or a related technical field, • Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or similar, • Experience with SCADA systems, DERMS, or other utility-specific platforms, • Experience with cloud-based AI/ML services (AWS SageMaker, Azure ML, Google Vertex AI), • Understanding of data pipelines or time-series data management Other Qualifications:, • Successfully pass background check for cybersecurity access requirements.Cybersecurity Role Expectations:, • Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role., • Candidate is expected to maintain a cybersecure work environment.Physical Requirements:, • Must be able to sit and stand for extended periods of time., • Must be able to use hands to type, handle products, tools and navigate a computer keyboard., • Must be able to view computer screen for extended periods of time., • Specific vision abilities required by this job include close vision and distance vision.Benefits:, • Medical, Vision, Dental Insurance, • Health Savings Account with Employer contributions, • 401(k) with Employer match, • Short-term & Long-term Disability Coverage, • Accidental Death & Dismemberment Coverage, • Life Insurance Coverage, • 80 hours of paid PTO, • Eight paid holidays per year All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols. • Learn more about Cutsforth here: ___, • Read our Mission & Values here: ___ Equal Employment Opportunity Statement: Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause. For Cutsforth's full Equal Employment Opportunity Policy, click here: ___

Benefits: • Company parties, • Employee discounts, • Free uniforms, • Tuition assistance, • Competitive salary, • Dental insurance, • Flexible schedule, • Health insurance, • Vision insurance Applicant will be required to develop software and tests in Rust and Python. This position leverages Git, CI/CD, and various other development and automation technologies. • Work as a part of a team of developers to meet the goals of each sprint, • Code networked and web applications in Rust, • Abide by the Rust Style guide, PEP8, or any other relevant or assigned code style rules., • Ensure code tests are thorough, relevant, and accurate, • Write documentation for all audiences, especially other developers, • Define and implement database schemas Required Education, Experience, and Capabilities: • Must pass a series of verbal and practical technical interviews covering Rust, Python, and other programming topics, • Must possess the skills and knowledge of a Bachelor’s degree in computer science, software engineering, or related discipline, • 3 years of experience programming in Rust, • Either: A) portfolio of current or previous work that can be reviewed during the interview process, • Or B) the ability to rapidly develop a networked program in Rust to showcase practical capabilities in addition to the practical technical interview Additional Eligibility Qualifications: • Ability to maintain a positive attitude., • Work independently and as part of a team., • Possess an inquisitive mindset, think critically, and identify/solve problems., • Communicate effectively with corporate leadership and co-workers., • Capability to read, write, speak, and understand English., • Successfully attend and complete required classes and certifications., • Utilize remote work products. Other Duties: The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. Duties, responsibilities, and activities may change at any time with or without notice. Work Authorization/Security Clearance: Must be authorized to work in the United States. Applicants must pass a background check. Supervisory Responsibility: None Work Environment: Work schedule will be determined by employer and communicated to applicant prior to hiring. Applicant will work remotely. An office space is not supplied. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of a Software Developer (Rust). Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, but only after full disclosure by the applicant. • The job requires varying amounts of sitting, standing, and walking., • This position requires the ability to sit or stand for extended periods of time., • The ability to communicate clearly with an excellent comprehension of the English language is essential. Physical demands are representative of those that must be met by an employee to successfully perform the duties in the conditions of the work environment. AAP/EEO Statement: Southeastern Cyber LLC provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex/gender, sexual orientation, national origin, age, disability, marital status, genetic information and/or predisposing genetic characteristics, victim of domestic violence status, veteran status, or other protected class status. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training. The Company also prohibits retaliation against any employee who exercises his or her rights under applicable anti-discrimination laws. Veterans with expertise in these areas are highly encouraged to apply. This is a remote position. Southeastern Cyber, LLC is a Service-Disabled Veteran Owned Small Business (SDVOSB) located in Lincolnton, GA. Our driving force is our passion to develop and leverage existing and emerging technologies to improve and protect critical national assets and industries. We have several current development and training efforts in the realms of cyber operations, cyber capablities and tool development, operational AI, and agricultural automation. Some of these are funded or directly in support of the United States Government while some efforts are entirely self-funded and operated. Southeastern Cyber is expanding its operations in multiple areas: ✦ Cyber Training ✦ Intelligent, automated network and system assessments ✦ Information Warfare Assessment and Training ✦ MultiDomain Operations Training ✦ Integrated Direct Action Assessment ✦ Testing and Evaluation of Cyber and Electromagnetic vulnerabilties in automobiles, boats, planes, and medical devices ✦ Liquid immersion cooling ✦ High Efficiency datacenters and computing ✦ Electromagnetic Mitigations for government, commercial, and consumers ✦ Agricultural practices, automation, and technology integration ✦ Sustainable robotics and low-power artificial intelligence/machine learning

First and most importantly: our mission is to bring transparency and clarity to the world's data. Our platform, FiftyOne, is where AI work happens. Our enterprise platform is the mission critical linchpin for managing unstructured data, model development, and AI systems at the world's largest companies. We believe that open source is the way to lead the data-centric AI revolution. Our open source version has 4 million downloads to-date. Our software massively impacts AI work across almost every vertical: from self-driving cars to medical imaging to revolutionizing agriculture, we are at the thrilling center of real-world AI advancement’s next wave. And we’re built on three key tenets: • We are all human beings: we strive to be a “human-first” organization and treat everyone with the respect, care, and flexibility that all people deserve., • We are distributed: we believe in getting autonomy and power into the hands of people actually doing the work., • We believe in the power of community. We are fully remote, hiring for people based in North America (with a preference for candidates on the West Coast for this role) who are prepared to travel to at least 2 in-person retreats per year, plus travel to various conferences and Meetups. As a Machine Learning Developer Relations Engineer at Voxel51, you'll work directly with the open source FiftyOne community answering technical questions, coding integrations with complementary models and datasets, creating engaging content, plus helping organize and speak at events (in-person and virtual). What you will do • Writing: Author original documentation, tutorials, guides, technical articles, and blogs, • Integrations: Code up integrations that combine FiftyOne with complementary ML technologies, models, and datasets, • Videos: Self-produce short videos to supplement the written content, • Technical Support: Provide technical answers to open source users on Discord, Stackoverflow, and Reddit, • Educational Content: Create and deliver original courses, both online and in-person What you should bring • 2+ years of professional ML experience with an emphasis on computer vision uses cases, • MS or PhD in computer science with an emphasis on computer vision, • Proficiency with Python, • Expertise with machine learning and scientific computing libraries (TensorFlow, PyTorch, NumPy), • Great writing ability and proficiency with a screening recording/editing suite, • Links to blogs, articles and papers written, • Links to conferences or events you have spoken at, • Links to open source communities where you are an active participant, • Links to GitHub repos where your code is visible, • Ability to work in a remote-first, cooperative environment using collaborative development tools (GitHub, Slack) The cash compensation for this person is in the $200K-$240K range. In addition to base comp for this role, we offer equity in the form of options, a variety of benefits, and the opportunity to grow in an exciting and collaborative environment.

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The Principal Developer leading AI and Developer teams will report to the VP of Engineering and play a pivotal role in shaping 1Password’s technical integration strategy with the broader security ecosystem. This leader will evaluate and define integration paths with key partners, design reference architectures, and prototype next-generation solutions that extend 1Password’s platform capabilities into emerging domains such as agentic AI architectures, emerging communication protocols (e.g., MCP, A2A, ACP, et al.), browser, and runtime-based security controls. This is a highly technical role that sits at the intersection of developer and agentic solutions, architectural decision making, and R&D advancements. This role will closely collaborate with Engineering, Security, Product, Business Development, and the Go To Market teams to identify high-impact integration opportunities, validate technical feasibility, and build partner-ready pre-production proof of concepts that demonstrate differentiated value. The outcome of this role is to ensure 1Password leads the evolving identity and security ecosystem, proactively shaping today and tomorrow. This is a remote opportunity within Canada and the US. What We’re Looking For: * 15+ years of experience in software engineering or solutions architecture, with at least 5 years designing and implementing complex integrations in SaaS, identity, or cybersecurity. * Deep technical knowledge of identity and access management standards and protocols (e.g., SAML, OIDC, SCIM, OAuth2, JWT, session termination patterns). * Hands-on experience building integrations with major cloud platforms (e.g., AWS, GCP, Azure) and/or security tools (e.g., SIEM, SOAR, IdPs). * Demonstrated ability to prototype and deliver working software in languages commonly used for integration (e.g., Go, Python, TypeScript). * Proven ability to work cross-functionally with Engineering, Product, and GTM teams to translate partner opportunities into technical outcomes. * Strong communication skills with the ability to represent technical strategy to executives, partners, and customers. Bonus Points For: * Familiarity with confidential computing, secure enclave design, browser extension/runtime modification, and AI agent architectures a strong plus. What You Can Expect: * Integration strategy: Define and prioritize integration paths with strategic partners across the identity, security, and developer ecosystem (e.g., Identity Providers, Identity Governance & Administration, SIEM/SOAR, AI toolchains, cloud providers, et al.). * Prototype (POC) / pre-production development: Rapidly design and prototype advanced integrations such as MCP server connectors, ephemeral credential brokers, and agentic AI security workflows. Demonstrate end-to-end feasibility and serve as a technical proof point for productization. * Reference architectures: Develop reusable reference architectures and integration blueprints (e.g., SAML/OIDC flows, SCIM provisioning, OAuth2 JIT token issuance, agent-to-vault credential brokering). Ensure these patterns are secure, scalable, and align with 1Password’s identity security principles. * Cross-Functional collaboration: Partner closely with Engineering, Security, Product, and Business Development teams to translate integration opportunities into impactful product outcomes. Provide technical credibility in partner conversations. * Innovation leadership: Push the envelope, expanding how 1Password further delivers differentiated industry leading value to the security ecosystem. Explore novel use cases around PAM-in-the-browser, confidential computing for session management, and AI-driven security automation. * Technical evangelism: Represent 1Password’s integration vision in technical forums, with partners, and at industry events. Build trust with external architects and engineering leaders by engaging at a deep technical level. * Scalability and security: Ensure all integrations meet high standards for security, performance, and maintainability. Act as a subject matter expert on integration security models, including token management, encryption, and identity lifecycle management. USA-based roles only: The annual base salary for this role is between $291,000 USD and $437,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $240,000 CAD and $360,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, ___. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged at 1Password—it's an essential part of how we will be successful at 1Password. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. This posting is for an existing vacancy. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See ___ for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing ___. For additional information see our ___.

DomainTools creates enterprise-grade cybersecurity products used by Fortune 500 companies, government agencies and cybersecurity vendors globally. We focus on supporting Internet safety through our ongoing work in infrastructure mapping and threat identification, driving cybersecurity forward while striving to make the Internet a better place. DomainTools is looking for a Sr. Product Manager, Data Products to join its Product team. Data is the backbone of our products, and this role will be responsible for growing and refining the data products that drive our threat intelligence solutions, with API-first delivery and integration into UI, AI and third-party experiences and workflows. This is a strategic role for the company that has a high impact on the company’s success, and has a great deal of visibility both inside and outside the company. The ideal candidate is a strong leader and successful product manager with a track record of delivering market-leading data products, with insights derived from direct customer interaction and big-data analysis. If you want to make a big impact in an established, growth-stage company, and if you love data product management, DomainTools is the place to be! We empower our product teams to solve hard problems in ways that our customers love, and also work for the business. Our cross-functional product teams are generally composed of a product manager, a technical manager, several engineers and shared, supporting team members for tech docs and QA. We staff our product teams with the skills necessary to come up with effective solutions that are valuable, viable, usable and feasible. Tight collaboration with our research team (with focus on analytics and ML) is also critical to successful data product delivery. The product manager is expected to contribute to her/his team a solid knowledge of the various constraints of the business, and a prioritized assessment of the opportunities that the business can capitalize on. The product manager must also contribute to the product team a deep knowledge of our users and customers, and an understanding of the platforms that our customers use to engage with our products. Finally the product manager is expected to track industry trends and the competitive landscape as they pertain to their products. While each member of the product team may be accountable for a specific area, we look for product managers that understand that consistent innovation is the result of each member of the product team contributing their passion and their ideas. The product manager must collaborate closely with engineering, marketing, sales and solutions engineering teams to deliver world-class solutions to market. While we empower our product teams to figure out the best solutions to the problems that need to be solved, we also hold those teams accountable to the results. Shipping is necessary, but not sufficient. We look for product managers that are not afraid of signing up for results, even when this means they have to work through others to achieve the necessary results. This job, as with the other roles on the product team, is an individual contributor role. You will need to be able to influence your teammates, colleagues, stakeholders, and key executives, through your use of data and logic. • Minimum 7 years in cybersecurity or data-related product management, delivering data-driven analytics and products, • Deep knowledge of their business and its customers, understanding how data products are utilized by its users, and valued by buyers, • Experience working with threat intelligence products, threat feeds, APIs, and related technologies, • Experience interacting with customers who leverage data warehousing, data science, and Big Data technologies, • Experience with integration of data products into third-party environments (both customer and partner ecosystems), • Experience working with Agile (kanban/scrum) development teams and processes, • Excellent people skills, working with cross-functional teams across the organization to bring a solution from ideation to market, • Excellent writing, communication, and presentation skills, • US-based, with a willingness to accommodate core hours that overlap at least 9am-3pm US Pacific time Preferred Qualifications • Experience in cybersecurity investigations, threat defense, incident response, or related activities, • Solid understanding of the cybersecurity market and modern security architectures, • Familiarity with specific data domains used in cybersecurity, including DNS, IP, TLS/SSL certificates, web crawl, BGP, NetFlow data, • Experience with real-time data collection, processing and delivery, • Experience with large language models (LLMs) and agentic workflows, • Experience with data products that leverage predictive analytics / machine learning (ML) DomainTools offers a comprehensive benefits package to our employees that includes fully paid medical, dental and vision insurance premiums, a 401k retirement plan with company matching, basic life insurance, flexible PTO and additional well-being benefits. DomainTools embraces diversity, equity and inclusion to its fullest as an equal opportunity employer. We build our teams so creativity and innovation can flourish. We believe inclusivity and equity fosters innovation and growth, and we harness this mindset to drive a culture that serves our employees and our customers. We encourage people of all backgrounds, ages, perspectives and skill sets to apply; and do not discriminate based on age, religion, color, national origin, gender, sexual orientation, gender identity, marital status, veteran status, disability or any other characteristic protected by law.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. ___, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet The Team: Torc’s Data Production team is a core enabler of our AV3.0 strategy. The team builds and operates the high‑scale data pipelines that transform raw multimodal sensor logs into structured, training‑ready datasets for machine learning, simulation, autonomy development, analytics, and system validation. We collaborate across vehicle integration, data collection, data systems, perception, ML, and release engineering to operationalize the full data loop that powers Torc’s autonomous‑driving stack. What You’ll Do: • Design and develop high‑performance data converters for multi‑sensor autonomous‑driving data (camera, lidar, radar), ensuring accurate time alignment and robust handling of raw sensor logs., • Design, build, and optimize large‑scale ingestion and transformation pipelines (ETL/ELT) capable of processing petabyte‑scale autonomous‑driving sensor data, and automate them for reliable, production‑grade deployment., • Work with data formats such as ROS bags, MCAP, and custom binary encodings; establish standards for schema evolution and metadata integrity., • Implement automated data validation, quality checks, and lineage tracking to ensure reliability of production datasets., • Collaborate closely with ML, annotation, simulation, and perception teams to ensure cross‑team ownership of data products and deliver datasets that are consistent, semantically correct, and ready for downstream consumption., • Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. What You’ll Need to Succeed: • Bachelor's or Master's degree in STEM related field with 5+ years of working experience with cloud technologies & data operations., • Experience building or maintaining converters, decoders, or transformation pipelines for sensor‑rich data (e.g., lidar point clouds, camera streams, radar detections)., • Understanding of multimodal data synchronization, timestamp alignment, and multi‑sensor calibration workflows., • Experience with distributed compute frameworks (Ray, Spark, Beam) and cloud‑based platforms like Anyscale and Databricks for large‑scale data‑pipeline execution., • Experience with high‑performance computing techniques, including vectorized data processing (NumPy), multithreaded or parallel execution, and GPU‑accelerated compute for optimizing large‑scale sensor‑data workloads., • Proficiency in Python, SQL, Shell Scripting., • Experience with major cloud providers like AWS, Google Cloud Platform (GCP) or Azure., • Operates with broad autonomy, leading complex technical work and driving alignment across team boundaries., • Owns key data‑pipeline and converter solutions end‑to‑end, setting direction and building consensus., • Provides project leadership and mentors less‑experienced engineers to ensure high‑quality execution. Bonus Points! • Working experience with design patterns & frameworks development for ML & operational data pipelines in the cloud, • Familiarity with 3D labeling and CV annotation workflows., • Experience optimizing I/O‑heavy workloads, including columnar formats (Parquet, Arrow)., • Knowledge of orchestration tools (Airflow, Argo, Prefect)., • Hands‑on experience designing CI/CD automation for data services, including GitHub Actions, Databricks pipelines, and cloud‑native deployment workflows, • Background in Agile Engineering Practices. Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: • A competitive compensation package that includes a bonus component and stock options, • 100% paid medical, dental, and vision premiums for full-time employees, • 401K plan with a 6% employer match, • Flexibility in schedule and generous paid vacation (available immediately after start date), • AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, 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 Job ID: R-102555 Hiring Range for Job Opening US Pay Range $160,800 - $193,000 USD

Position: UI Expert/Front End Developer Location: Hybrid in Vienna, VA Duration: Long Term Job Description: Develop new client facing features for interactive web applications that rely heavily on REST APIs using modern web technologies.• Work closely with Product Owner, UX and fellow engineers to understand and build web application from scratch.• Write well-structured code that is easy to maintain and understand.• Optimize code for performance, ensuring fast loading times and smooth user experiences.• Build applications that adapt and work well across different devices and screen sizes.• Use CSS preprocessors like Sass or Less to enhance CSS with variables and functions. Hence, making stylesheets more maintainable and reusable.• Collaborate with fellow engineers, designers, analysts to define, design, and ship new features• Knowledge of browser developer tools such as Chrome DevTools.• Comfortable in working with branches, merging code, and resolving conflicts.• Strong problem-solving and debugging skills. Front-End Developer:We are looking for mid to high-level Front-end engineer with extensive experience in React as well as in Angular version 8 and up, who will be part of a Digital Delivery team responsible for the client side of our service. Primary focus of this role will be to implement a complete responsive UI web application. The Front-end engineer will support innovative member and team member experiences that leverage the latest technologies in open source and the cloud technologies.Main duties will include in ideating, experimenting, and developing modules, components, and coupling them into a functional application. Required Qualifications: UI Expert Required Skills: • Experience working with large enterprise codebase, sharing stylesheets, • Experience working with component library/design systems, • Experience writing easy to read, clean, consistent CSS, • Experience writing reusable component styles, • Experience writing semantic, accessible HTML, • CSS/SASS, • Angular 10 and above, • Well versed in Typescript, • Bootstrap, • DevOps experience such as creating configuration, build, and test scripts for Continuous Integration environments, • Well versed in software architecture patters, • Must be an expert in CSS3, boot strap and any other similar technologies, • Advanced knowledge in CSS, HTML, and JavaScript, • Experience with Test Driven Development (TDD) and Agile (XP), • Follow best practices with client-side Angular code, • Be able to create self-contained, reusable, and testable modules and components, • Ability to perform unit testing, • Be proficient in TypeScript development, • Knowledge and experience with WCAG 2.0 accessibility standards and guidelines, • Experience with accessibility audit and quality assurance tool and processes., • Experience working in Agile environment Flexible work from home options available. Allwyn is a 20-year-old systems integrator in Northern Virginia. We are a provider of information technology solutions to commercial and government customers. Committed to delivering excellence, we help our customers realize their vision through an in-depth understanding of their business needs. Leveraging its experience across a broad spectrum of industries, Allwyn can mobilize the right combination of people, process and technology to meet and exceed our customers’ expectations. Allwyn is managed by a team of industry experts with extensive backgrounds in Data Science/Machine Learning, Data Analytics, Application Development, Quality Assurance, Infrastructure Support, and Project/Program Management. We are located in Herndon VA. To learn more about us, please visit us at ___.

TL;DR: Imubit is looking for a Technical Customer Support Manager to help disrupt the refining and chemical industries with breakthrough machine learning technologies. We are looking for candidates located in the Houston, TX area, willing to be hybrid (2-3 days a week) in office, but are open to remote candidates About us: Imubit is redefining how industrial companies around the world adopt and scale enterprise AI, adding millions of dollars to plant bottom lines while operating safely within constraints related to energy efficiency and sustainability. Our AI platform supports real-time optimization across complex, nonlinear industrial systems, enabling both autonomous and guided decision-making in live production environments. Fortune 500 companies rely on Imubit to continuously improve profitability and sustainability across their most valuable assets. Backed by Insight Partners, Imubit brings together deep domain expertise from companies such as Exxon and Shell with leading AI talent from Google and other top innovators. With teams across the United States and a growing international presence, Imubit is transforming operational optimization across industries ranging from refining and aromatics to polymers and LNG liquefaction. We are looking for: You, a Technical Customer Support Manager, with a passion for providing exceptional customer service and deploying strategies focused on that mission. You will take a central role in handling the most complex support cases of our customers and our field teams. You know the ins and outs of building a ticketing system for external customers and developing metrics in which the team will operate. You understand the importance of streamlining and improving processes and procedures to improve service delivery. This is a one-of-a-kind chance to join the technological team of a company with a proven ability to transcend industries through scientific inventions, that are just commencing their exponential growth. In this position, you will: • Build an external-facing customer support system that integrates a variety of Chat, Meet, Call, and Collaboration platforms with the Imubit Product, • Provide on-going support to refinery and petrochemical customers, • Act as a technical focal point and lead work in cooperation with other internal teams to drive towards finding solutions to critical field issues, • Develop service procedures, policies, and standards while addressing any SLA areas of concern, • Utilize your knowledge and understanding of all relevant industry standards and best practices to balance the long-term direction and short-term actions of the team, • Work closely with field teams on a daily basis to understand their challenges, support business needs, and deliver a consistently high-quality support experience Qualifications: • Proven experience in building and maintaining a ticketing system (ideally 5+ years), • Preferred BA/B.Sc. in Computer Science or equivalent, • Experience as a Technical Support, Escalation Engineer, QA Engineer, or a similar role, • Oversee our AWS and GCP cloud environments, making sure they run smoothly, reliably, and follow good practices, • Knowledge of Kubernetes, including monitoring and viewing container logs, • Experience working and troubleshooting in complex IT environments: both Linux and Windows, • Implement and maintain monitoring and observability solutions (e.g., Grafana, New Relic), • Monitor and analyze system data to detect issues and optimize performance, • Experience working with multiple network layers or air-gapped networks, • Comfortable with new technical tools and resourceful using those to troubleshoot and come up with creative solutions to problems, • Ability to work calmly and professionally in high-pressure situations, • Ability to multitask - work and switch among many activities at the same time, • Passionate focus on customer support and the ability to build long-term, successful working relationships with internal and external customers Imubit provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Imubit complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Imubit does not accept or retain unsolicited CVs or phone calls and/or respond to them or to any third party representing job seekers. No visa sponsorship is available for this position.

Company Description Chooch helps build and run the best Computer Vision AI applications that make cameras intelligent, enhancing productivity & revenues, while reducing operational costs. Chooch has been named a leading computer vision platform by IDC. Role Description We are looking for a Software Engineer (US-based) to join our team. This is a full-time remote role. The Software Engineer will be responsible for the successful development, implementation, management, and backbone behind our Computer Vision AI web systems and analytics. This includes JS, HTML, backend data, for deploying functional web applications for healthcare, manufacturing, and retail customers. This role requires frequent interaction with technical and non-technical customers while working closely within our solutions engineering teams. This role has immense opportunity to grow, lead technical projects, and improve current processes while providing meaningful feedback to our product and solutions teams. Key Responsibilities • Web Development and Implementation: Design, develop, and optimize our web analytics services learning models for computer vision applications and key customer stakeholders., • Data Management: Collaborate with ML engineers to ensure the successful deployment and implementation of computer vision and LLM models., • Algorithm Implementation: Implement state-of-the-art computer vision algorithms to improve system accuracy and performance in real-world scenarios., • Cross-Functional Collaboration: Work closely within the solutions engineering team to integrate machine learning models into the broader product and systems., • On-Site Travel and Field Testing: Many of our projects are live deployments with major fortune 500 customers – testing new, innovative ML technologies. Traveling on site is sometimes needed to work with customers, gather requirements, and ensure the technology is operating as expected., • Performance Evaluation: Regularly evaluate the performance of computer vision models, using both qualitative and quantitative methods, and iterate to enhance accuracy and efficiency., • Research and Innovation: Understanding of the latest developments in web, backend, and working with our ML team to understand the necessary components to implement machine learning and computer vision, applying innovative approaches and technologies to solve complex challenges., • Stakeholder Engagement: Collaborate with internal and external stakeholders to understand their needs and translate them into effective technical solutions., • High Proficiency in web development and backend frameworks (e.g., JS, HTML, SQL, Postgres, python etc.), • Strong programming skills in Python, • Moderate Experience with image processing and computer vision libraries (e.g., OpenCV), • Familiarity with cloud computing services (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)., • Experience with software development, • Excellent problem-solving and troubleshooting skills, • Strong communication and interpersonal skills, • Ability to work independently and as part of a team, • Comfortability on the command-line, • Experience with version control systems such as Git

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit ___. The Notifications Relevance Team focuses on delivering the right content to the right user at the right time through push, email, and in-app notifications. Our systems and algorithms operate on the world's largest corpus of human conversation, connecting Redditors with what matters - whether it’s recommending similar posts and subreddits, surfacing conversations they’ll care about, or introducing communities they didn’t know they needed. We are looking for an Engineering Manager to lead our Notifications Relevance team, shaping the future of Notifications at Reddit. In this role, you will lead a team of machine learning engineers dedicated to advancing our current Notifications Relevance systems. This is a high-impact team driving DAU growth and long-term user retention by connecting users to what matters most to them. If applying ML / AI in production to improve the relevance of Reddit Notifications excites you, then you’ve found the right place. What You’ll Do • Lead the team that architects and designs notifications relevance at Reddit., • Guide team on holistic, adaptive systems covering budgeting optimization, candidate retrieval, and ranking., • Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement., • Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy., • Build and maintain a diverse team that can collaborate across disciplines to find technical solutions to complex challenges., • Serve as a thought partner to product and upper management to ensure your team’s plans align with company goals., • Communicate your team’s work and set expectations with cross-functional stakeholders., • Help your engineers identify career goals and create development plans to achieve them., • Constantly seek opportunities to push your engineers & managers outside their comfort zone and turn followers into leaders. You Have: • 2+ years of experience building and managing engineering teams., • 5+ years of experience as a Machine Learning Engineer or Software Engineer working on large-scale machine learning systems., • Deep understanding of building and deploying large-scale recommender systems (retrieval + ranking) in production., • Hands-on experience working with deep learning models, sequential features and real-time systems., • Experience with distributed training and inference using tools like Ray, PyTorch Distributed, or similar., • Familiarity with reinforcement learning or multi-objective optimization in recommendation systems., • Entrepreneurial and self-directed, innovative, results-oriented, biased towards action in fast-paced environments., • Able to communicate and discuss complex topics with technical and non-technical audiences., • Able to tackle ambiguous and undefined problems. Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k Match, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Reddit Global Days off, • Generous paid Parental Leave, • Paid Volunteer time off Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit ___. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $230,000 - $322,000 USD In select roles and locations, the interviews will be recorded, and transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our ___. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Serverfarm is a leading developer and operator of data centers with over 750+ locations and key customer relationships in 45 countries. We're revolutionizing how data centers operate across North America, Western Europe, and Israel, serving the world's leading technology and hyperscale companies. With Manulife Investment Management's acquisition in 2023 and our award-winning InCommand platform we're positioned for explosive growth as AI adoption and cloud migration drive unprecedented demand for data center capacity. A career at Serverfarm means being at the forefront of digital infrastructure innovation, where your work directly impacts how the world's data is managed and secured. As we target 4x growth over the next four years, you'll have unprecedented opportunities to take on new challenges, develop cutting-edge skills, and grow your career across our expanding global operations. Join our team of innovators and help shape the future of sustainable data centers while building a career without boundaries. • Develop and maintain global consistent colocation design standards to drive equivalent resilience in new and existing data centers., • Support the deployment of new ServerFarm products in colocation data centers in a consistent way, including liquid cooling and high-density racks and systems to support hyperscale requirements for Cloud-compute, Machine Learning and AI services., • Reviews and updates global design standards and generational data center template designs., • Support development and operational engineering teams to review and accept proposed changes to site-specific infrastructure at ServerFarm data centers to validate standards, and to identify and document Accepted Deviations when appropriate., • Work with internal and external global teams to drive consistent standard solutions to expedite review processes and drive cost efficiency., • Set up global strategies to deploy specific customer products or design, and to drive consistency and efficiencies for delivering customer requirements. Functionally decompose complex problems into simple, straight-forward solutions., • Documentation, release and management of design guides, standards, specifications and procedures., • Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members, • 35% domestic and international travel., • Bachelor’s degree in electrical or closely aligned engineering discipline, or commensurate industry experience or military experience in lieu of degree may be acceptable., • 6+ years of electrical non-intern engineering experience in Mission Critical facilities including, but not limited to: data centers, power generation, oil/gas, and other mission critical facilities and/or infrastructure. (Experienced Engineer), • 2+ years of experience defining system-level architecture, performance, and equipment requirements, conceptual designs, project documentation and project delivery and hand-off., • Chartered or Professional Engineer (PE)., • Experiene of working with large global data center providers in multiple regions globally., • Knowledge of local building codes and safety regulations in multiple jurisdictions, • Ability to develop new concepts through exploration, design, testing and into deployment/mass production., • Proven track record in creating and releasing high quality, consistent documentation for processes, standards and procedures., • 5+ years of leading root cause analysis of equipment or system failures as well as incident support management, • Knowledge of critical data center equipment (Generators, Uninterruptible Power Supplies, Switchgear, Transformers, Power Feeders, Chillers, Plumbing, Fire Detection/Suppression, Air Handling Units, Computer, • Room Air Handling/Conditioning Units, Chillers, UPS, CRAH, CRAC...), • Demonstrated knowledge of electrical design codes in different locations, knowledge working with SPOF, • Strong record of mentoring and growing teams

IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact every area of human society for the better. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is at the forefront of this technological revolution. We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems. Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact. Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. Responsibilities: • Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications., • Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain., • This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team., • Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products., • Navigate competitive objection handling, • Translate business needs expressed by our clients into technical work projects in collaboration with other team members., • Create assets to explain features of our quantum applications and other IonQ quantum products., • Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows., • Lead client discovery sessions for business oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team, • Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large., • Attend industry conferences, as needed, to talk to client and support our booth activities., • Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities., • This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first. You’d be a good fit with: • 10+ years of experience in technical customer-facing roles or equivalent capacity. The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical., • Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering, • Motivated learner with a strong interest in quantum computing. You’d be a great fit with: • Masters or PhD in a STEM field, perhaps adjacent to quantum computing., • Time on the customer side in various verticals included leadership roles - this provides customer empathy, • Hands-on experience with Qiskit, Cirq or other quantum computing SDK., • Proficient in Python and Jupyter Notebooks., • Expert architecture skills across various technologies (“full stack skills”), • Experience leading technical events. Location: This position can work onsite or hybrid from one of our offices or fully remote in the US Travel: 20% travel domestically. Job ID: 1291 The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity. Compensation will vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Posted base salary figures are subject to change as new market data becomes available. Beyond base salary, total compensation includes a variable bonus and equity component and a range of benefit options found on our career site at ___. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. Our US benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, a home internet stipend, and pet insurance! IonQ's HQ is located in College Park, Maryland, just outside of Washington DC. We are actively building out our recently opened manufacturing and production facility in Bothell, WA (near Seattle). Depending on the position, you may be required to be near one of our offices in College Park, Seattle, Toronto, Canada, and Basel, Switzerland. However, IonQ will expand into additional domestic and international geographies, so don’t let this stop you from applying! At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Please note before applying: • Schedule: This is a third-shift position, Monday through Friday, from 11:00 PM – 7:00 AM., • Security Requirements: Our client is a Federal Contractor. Due to the nature of the work and the requirement for a federal security clearance, only U.S. Citizens will be considered for this role. The Openstack Technical Support Engineer is responsible for solving complex and high-impact technical issues within large-scale customer cloud environments. This role focuses on advanced troubleshooting, incident response, and problem management for one of Mirantis’ largest customers, with a strong emphasis on OpenStack- and Kubernetes-based platforms. This engineer acts as a technical leader during their shift, maintaining continuous situational awareness, coordinating cross-functional resources, and driving issues to resolution under pressure. They are expected to lead incident calls, communicate clearly and decisively with customers, and take ownership of escalations from initial detection through full resolution. Main Responsibilities: * Troubleshoot private cloud deployments based on OpenStack, Kubernetes, Mirantis Container Runtime (MCR), and related cloud technologies, detecting, reporting, and resolving complex issues across the stack. * Provide high-tier support for critical product issues escalated by peers or management, including leading high-severity incident calls and coordinating resolution efforts across multiple teams. * Act as a shift-level technical leader, maintaining awareness of platform health, responding to alerts, and proactively managing emerging issues within customer environments. * Perform cluster upgrades and lifecycle operations as new releases become available, ensuring minimal disruption and clear communication throughout the process. * Communicate urgently, clearly, and in detail with customers during incidents, providing accurate status updates and guiding them through troubleshooting and resolution. * Own escalations end-to-end by routing issues to the appropriate teams, including OpenStack, Ceph and storage, networking, hardware, and infrastructure, while maintaining accountability and follow-through. * Lead incident management efforts by structuring outage calls, distinguishing root cause from contributing factors, documenting findings, and driving corrective actions to completion. * Reproduce customer issues in internal lab environments, validate defects, and provide detailed diagnostics and reproduction steps to development teams. * Work closely with engineering teams to review customer issues, suggest improvements, identify potential product defects, and track fixes through delivery. * High school diploma or equivalent required; four-year degree preferred or equivalent experience with three or more years in a senior or Tier 3 systems administration role. * Strong experience with OpenStack core services including Nova, Neutron, Cinder, Keystone, and Glance. * Hands-on knowledge of Neutron networking, including OVS and OVN, VLAN and VXLAN, and SDN concepts. * Experience with Cinder storage backends, including Ceph RBD and LVM. * Strong Ceph experience, including troubleshooting cluster health, OSD and MON issues, performance tuning, and recovery operations. * Working knowledge of Kubernetes architecture and troubleshooting containerized workloads. * Advanced Linux system administration skills. * Strong understanding of networking fundamentals. * Excellent written and verbal English communication skills. Preferred Qualifications * Experience with container technologies such as Docker and Kubernetes; certifications are a plus. * Experience with databases and messaging systems including MySQL, Galera, PostgreSQL, RabbitMQ, InfluxDB, Elasticsearch, Cassandra, and Zookeeper. * Experience with monitoring and observability tools such as Grafana, Kibana, and Prometheus. * Experience with automation and configuration management tools including Ansible, Salt, Puppet, Chef, and Helm. What does Mirantis offer you? * Work with an established Silicon Valley leader in the cloud infrastructure industry. * Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies. * Be a part of cutting-edge, open-source innovation. * Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued. * Receive a competitive compensation package with strong benefits plan We are a ___ in G2 (#2 after AWS)!

Job DescriptionZoox is developing the first ground-up, fully autonomous robotaxi fleet and the supporting ecosystem required to bring this revolutionary technology to market. At the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. As a Senior Operations Manager, you will be pivotal in bringing our autonomous vehicle service to life in our new markets. This position focuses on managing the day-to-day operations of our L3 test vehicles and robotaxi fleet, ensuring exceptional mission success and service delivery while maintaining the highest safety standards.In this role, you will: • Lead, develop, and manage teams of Zoox and contingent workforce personnel responsible for Zoox’s test fleet and robotaxi service fleet., • Develop and implement operational strategies to optimize fleet performance by mastering operational workflows and performance metrics to eliminate waste and create value, • Oversee daily fleet operations, including vehicle deployments, maintenance tracking, and service coverage., • Drive operational excellence by being customer-focused and partnering with product and key stakeholders to create the ultimate rider experience for our customers and business partners, • Collaborate with cross-functional teams to ensure smooth integration of technology updates and service enhancements., • Build and maintain strong relationships with local stakeholders and regulatory bodies., • Establish and monitor KPIs for service reliability, safety, and customer satisfaction., • Plan, evaluate, and improve site operations in terms of quality, safety, and efficiency., • Deliver effective change leadership while regularly communicating performance trends and improvements to the organizationQualifications, • Bachelors Degree, • 8+ years leading the business side of relevant large-scale operations, • 3+ years of managing large teams of FTEs and contingent labor, • Management of continuous safety standards and improvement initiatives, • Experience in change management processes & managing large amounts of data, • Ability to work on-site at your market’s facilities, • Ability to travel when necessaryBonus Qualifications, • Master's degree in a relevant discipline (Business Administration, Engineering, Computer Science, Program Management, etc.), • 5+ years working in an NPI environment and cross-functionally with PMO or engineering organizations, • Working with cross-functional teams on go-to-market initiatives, • Experience in the autonomous vehicle, transportation dispatch, and emergency response industries

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.Our consultants bring deep expertise in Data Science, Machine Learning and AI.We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate busi

Data Scientist – Machine Learning & Predictive Analytics.RDA is a digital transformation consultancy helping future-ready enterprises solve complex business challenges through AI, strategy, and customer experience.We’re expanding our data capabilities and seeking a Data Scientist to design and d

Machine learning applications in finance, including forecasting, variance analysis. Senior Data Scientist, Finance Analytics. Support business operations, finance, revenue operations, and other internal teams by building analytics and reporting to understand overall business performance and increase

Department: Data Science Reports to: Head of Data Science Location: Remote within Continental US Applications will be open through February 2026, with an anticipated start date in March 2026. Funga is a public benefit corporation harnessing forest fungal networks to address the climate crisis. We combine modern DNA sequencing and machine learning technology with breakthrough research on the forest microbiome to put the right native, biodiverse communities of mycorrhizal fungi in the right place. This leads to more quality wood created more quickly, more carbon sequestered, and more resilient forests. We serve land partners seeking to implement regenerative forestry practices that improve productivity and sustainability, and corporate carbon buyers building high-quality carbon removal portfolios with strong social and biodiversity outcomes. We’re a team of passionate scientists and builders on a mission to draw down at least three gigatons of carbon dioxide from the atmosphere by 2050. If you are excited by starting new things, learning as you go, and being hands-on in applying your work to the private sector, you will dig working with us. We encourage you to apply even if only some of the below criteria are met—just make sure to tell us why you’re excited about Funga! At Funga, we leverage cutting-edge data pipelines to manage large-scale genomic, ecological, and geospatial datasets. We are looking for a Data Engineer to join our team with a focus on Data & Delivery. At Funga, our data is only as valuable as it is accessible. Working alongside our Data Infrastructure Engineer, you will own the last mile of our data stack, engineering the pipelines, models, and interfaces that make our data actionable. You will have the autonomy to troubleshoot existing bottlenecks and build the new standards for how we ingest, validate, and deliver data across the entire organization, unlocking both business value and real climate and biodiversity impact. This is a great role for an engineer or solutions architect who is driven to bridge the gap between complex backend infrastructure, messy real-world data, and intuitive internal tools to catalyze the work of your teammates and drive tangible climate progress. • Engineer Data Delivery & Modeling, • Use SQL and Python to build the transformation layers (dbt) that turn raw datasets into clean, versioned, and performant models ready for analysis. Your work here will supercharge our modeling efforts., • Lead the implementation of internal data apps (Streamlit or similar). You'll build the windows into Funga's data, ensuring Growth and Land teams have high-visibility into carbon and biodiversity metrics, accelerating our sales, operations, and growth., • Geospatial Workflows: Architect workflows to manage the flow of complex vector and raster data, from QA/QC of messy field-collected boundary files to integrating high-resolution drone imagery to supporting mapping solutions for field teams., • Scale Quality & Operations, • Automated QA/QC: Engineer the automated validation pipelines that catch inconsistencies in genomic, geospatial, and tabular data before they reach downstream systems, with an eye toward continuous, measurable improvement., • Build and maintain containerized connectors (scripts, APIs, and services) that pull data from third-party applications like Survey123, ArcGIS, and Asana into our core infrastructure., • Act as a solutions architect for internal teams, ensuring that data is synced correctly across our ecosystem and that the data they see is accurate, timely and useful., • Cloud Engineering & Fundamental Data Infrastructure, • Build, deploy, and monitor your pipelines and apps using Docker and cloud-native services (AWS/GCP), • Serve as a peer-partner to the Data Infrastructure Engineer, collaborating on core database architecture and schema evolution to ensure seamless downstream integration., • 3+ years of experience as a Data Engineer, Solutions Architect, or similar experience, with strong experience with backend systems., • Advanced SQL proficiency. You know how to structure and utilize complex datasets for both performance and clarity., • Demonstrated ability to independently navigate cloud environments (AWS/GCP) and to deploy services and manage resources (S3, Lambda, ECS) while maintaining alignment with core infrastructure standards., • You write clean Python for data manipulation, automation, and internal tooling., • You treat internal teams as your customers. You are driven to build data-rich workflows and applications that solve real problems. You aren't a designer, but you take pride in building functional, reliable interfaces and data products that meet teams where they are and accelerate their work with clear insights., • Familiarity with geospatial data storage, and management tools and concepts (e.g. PostGIS, GDAL) is a major plus., • Familiarity with genomic sequence or ecological data management and modeling is a plus., • Pragmatic: You prefer simple, mature, and composable tools over heavy, managed platforms. You have a bias for creating value now versus perfection later., • NOTE - please apply if you feel you are qualified, but don't necessarily meet all of the above criteria!, • Make a meaningful impact: Contribute to innovative solutions addressing one of the most pressing global challenges—climate change., • Collaborative environment: Work closely with a diverse team of scientists, foresters, and business leaders who share a common passion for sustainability., • Career growth: Be part of a pioneering company with opportunities for professional development and leadership., • Comprehensive Benefits: Participate in healthcare benefits and employee equity programs. The expected salary range for this role is $90,000 - $120,000, with actual salary based on qualifications and experience. Funga offers a competitive benefits package including equity in our fast-growing startup; a flexible time off policy; medical, dental, and vision benefits; and a wellness reimbursement program. Our team is in a dynamic growth phase. By joining us at this stage, you can shape our benefits and culture, and participate in our business success!

Octane® is revolutionizing recreational purchases by delivering a seamless, end-to-end digital buying experience. We connect people with their passions by combining cutting-edge technology and innovative risk strategies to make lifestyle purchases - like powersports vehicles, RVs, and OPE - fast, easy, and accessible. Octane adds value throughout the customer journey: inspiring enthusiasts with our editorial brands, including Cycle World® and UTV Driver®, instantly prequalifying consumers for financing online, routing customers to dealerships for an easy closing, and supporting customers throughout their loan with superior loan servicing. Founded in 2014, we’re a company with 550+ employees and over 30 OEM and 4,000 dealer partners. At Octane, we’re building innovative technology solutions that power smarter, faster, and more efficient decision-making. We are seeking an accomplished AI/ML Technical Lead to drive the design, development, and deployment of advanced machine learning solutions that scale seamlessly in production environments. In this role, you’ll shape the strategy for how AI is leveraged across the organization, partnering with cross-functional teams to translate business goals into technical solutions that are not only state-of-the-art, but also ethical, secure, and reliable. This position is ideal for a hands-on leader who thrives at the intersection of research and engineering. You will mentor engineers and data scientists, establish best practices for MLOps, and ensure models deliver consistent value long after deployment. With opportunities to explore cutting-edge fields like generative AI, large language models, natural language processing, and computer vision, you’ll play a pivotal role in setting the technical standard for Octane’s AI initiatives while guiding the team toward innovation and measurable impact. Responsibilities: • Lead the end-to-end design, development, and deployment of advanced AI/ML systems, ensuring production environments are scalable, efficient, and highly performant., • Collaborate with cross-functional teams to define AI strategy, evaluate use cases, and translate business objectives into actionable technical solutions., • Build, optimize, and maintain machine learning pipelines, covering data ingestion, preprocessing, model training, evaluation, deployment, and ongoing monitoring., • Establish and champion MLOps best practices, including CI/CD for ML workflows, automated testing frameworks, and continuous model performance monitoring to prevent drift., • Serve as a technical mentor and leader, guiding engineers and data scientists on system architecture, coding standards, and efficient development practices., • Research and evaluate emerging AI methodologies, frameworks, and tools, integrating innovative approaches into the organization’s technology stack where applicable., • Ensure AI solutions meet ethical, security, and compliance standards, including model explainability, bias mitigation, and data privacy requirements., • Partner with engineering leadership to set technical strategy, establish architectural guidelines, and define standards that shape the future of AI initiatives at Octane. Requirements: • Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field with 5+ years of professional experience, or Bachelor’s degree with 8+ years of experience in AI/ML engineering., • Proven expertise with leading ML/DL frameworks such as TensorFlow, PyTorch, or JAX, with hands-on experience training and deploying models., • Strong programming proficiency in Python, with additional experience using languages such as C++ or Java for performance-critical applications., • Practical experience with MLOps tools and workflows, including MLflow, Kubeflow, SageMaker, or Vertex AI to streamline model lifecycle management., • Deep understanding of data engineering concepts such as data pipelines, preprocessing, and distributed computing, as well as hands-on experience with cloud platforms (AWS, Azure, or GCP)., • Demonstrated success designing, deploying, and optimizing AI/ML systems at scale, including model serving, monitoring, and iteration., • Strong communication and collaboration skills, with the ability to influence technical direction and align diverse stakeholders. Preferred Skills: • Experience with generative AI and large language models (LLMs), including prompt engineering and fine-tuning approaches., • Knowledge of advanced ML domains such as natural language processing (NLP), computer vision, reinforcement learning, or recommendation systems., • Familiarity with containerization and orchestration technologies, including Docker and Kubernetes, to support scalable deployment., • Hands-on experience with infrastructure-as-code (IaC) tools, such as Terraform or Ansible, to enable automated and reproducible infrastructure management., • Contributions to the AI/ML community, such as open-source projects, conference presentations, or peer-reviewed research publications. Compensation: In addition to salary, Total Rewards include bonus eligibility, a stock option package, and benefits as outlined below. The role described above offers a base salary of $150,000 to $210,000 + bonus incentive eligibility. Your offer will be based on location, the alignment of your qualifications with the requirements of the job and internal equity. Benefits: • Robust Health Care Plans (Medical, Dental & Vision), • Generous Parental Leave, • Flexible Time Off (FTO) Policy - Time Off When You Need It, • Retirement Plan (401k) with company match!, • Educational Assistance/Tuition Reimbursement up to $3K/year, • Life Insurance (Basic, Voluntary & AD&D), • Short Term / Long Term Disability, • Robust Ancillary benefits including accident insurance, hospital insurance, etc, • Wellhub (Gympass) Wellness Benefit, • Powersports Safety Benefit Disclaimer: The above statements are intended to describe the general nature and level of work being performed by associates assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Octane Lending is an equal opportunity employer committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status with respect to recruitment, hiring, promotion and other terms and conditions of employment. #LI-MZ1 #LI-Hybrid

Mission Summary The Data Platform team is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the core services and infrastructure necessary to transform petabytes of raw data each month into actionable insights for our Machine Learning and Autonomy engineers. This role is a key contributor across our core initiatives: • Data Processing: We are building state-of-the-art infrastructure to meet the demands of our rapidly scaling fleet and sophisticated ML engineering requirements. You will be responsible for ensuring that our core data pipelines are robustly engineered—meaning they are performant, user-friendly, and highly fault-tolerant., • Data Discovery: we are building a platform that combines cataloging data for search needs across our metadata stores, vector datastores, and various data warehouses to super charge our ML pipelines. You would be coming in and working with ML and autonomy stakeholders to build out this new discovery platform., • Data Lineage: we are getting started with building our data lineage system that will track the usage of all data at Motional. You would work with our stakeholders to ensure our system is widely adopted and address customer pain points. What You'll Be Doing • Play a key role in designing and building the next generation of data infrastructure., • Build scalable backend services for data discovery and data lineage systems., • Write high quality, maintainable code to process petabytes of data, • Lead and champion high-level system design and quality code reviews/technical contributions., • Design, build, and maintain scalable data processing and access with cloud ETL technology. What We're Looking For • 3+ years of professional experience as a data engineer or data pipeline engineer, • BS or MS in Computer Science or related field, • Strong development experience with Python and SQL., • Expertise with AWS services and solutions (EKS, Lambda, ETL), • Experience with distributed system design and development, • Comfortable working in a fast-paced, continuous delivery environment Bonus Points (not required): • Experience with Infrastructure Monitoring, • Experience working in cross-functional development teams The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$159,000—$207,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit ___ and follow us on ___, ___, ___ and ___. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers. Epistemix helps organizations forecast outcomes and manage risk by modeling how people behave. Our platform consists of two core products: Populus, which provides access to realistic, high-resolution synthetic population data, and Polaris, which enables scenario planning through advanced data science and simulation. Together, they empower customers to evaluate the potential impact of strategies before deploying them in the real world. Organizations across healthcare, consumer industries, insurance, and government use Epistemix to reduce uncertainty, optimize decisions, and accelerate time to value. Whether estimating total addressable market, testing public health interventions, or forecasting behavior change, our tools help teams make confident decisions when pre-existing data may not exist. Leading up to our Series B financing, we are hiring key roles onto the team and entering an exciting phase of growth and innovation. Join us to combine cutting-edge technology with a purpose-driven mission to make the world a better place. Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact * Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making * Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases * Provide guidance for proposals on feasibility of scope and how to ensure impact * Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform * Engage with customer users to provide informal support, tips, and troubleshooting * Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans * Participate in reviews with customers to document and improve measurable impact * Provide feedback to Product and Sales teams to align offerings with customer needs * Follow advancements in data science, machine learning, and healthcare analytics * Commitment to understanding customer needs and helping them achieve goals * Creative mindset with a passion for tackling challenging problems with data * Ability to collaborate with diverse users and internal teams * Strong communication skills: verbal, code, visualizations, and maps * Strong foundation in machine learning, data modeling, and predictive analytics * Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred * Comfort working in a dynamic environment with evolving priorities and customer needs * Proficiency in Python and associated data science technologies * Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools * Expertise in SQL or NoSQL databases preferred * 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience) * Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field * Experience with more than one company size or business stage preferred * Must be legally authorized to work in the United States and not require employer sponsorship now or in the future. By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include: * Equity & Incentives – Participation in our stock option program. * Flexible Time Off – Autonomy to manage your schedule and work-life balance. * Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees). * Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference. This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.

Swiftly is a retail digital technology startup founded in 2018 and headquartered in the Bay Area. We empower regional and independent grocers to compete in a digital-first world by providing best-in-class app, web, loyalty, and e-commerce solutions—without SaaS fees. Instead, Swiftly drives revenue through its retail media network, sharing profits with retailer partners.With 70+ retailer banners and Series C funding, Swiftly is the first in the industry to seamlessly connect digital and in-store shopping. Our AI-powered platform helps retailers build strong digital relationships, while our solutions—Audience Optimizer™, Alcohol Cashback, and Offsite Campaigns—drive shopper engagement and brand success. Our mission: Enable brick-and-mortar retailers to thrive in a digital world. Position Summary:Swiftly is searching for a data scientist that will tackle some of the most challenging and impactful problems that are transforming how we recommend products to users. This role will be embedded within our data-drive product team as a trusted partner to uncover barriers in the product’s usability and utilize these insights to inform product improvements that drive angle-changing growth. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization. • Own analytical frameworks that guide the product roadmap, • Design rigorous experiments and interpret results to draw detailed and actionable conclusions, • Develop statistical models to extract trends, measure results, and predict future performance of our product, • Build simulations to project impact of various product and policy interventions, • Enable objective decision making across the company by democratizing data through dashboards and other analytical tools, • Other related duties as assigned, • 4+ years of industry experience architecting, coding, verifying and operating large-scale data pipelines and architectures, • B.S. in Mathematics, Statistics, Computer Science, Computer Engineering, or a related field, • Strong familiarity with Databricks, including building models, creating job pipelines, and managing interactions within the platform, • Proven experience with clustering models and machine learning for marketing use cases such as forecasting, customer segmentation, and marketing mix modeling, • Solid proficiency in PySpark to handle and process large-scale datasets efficiently, • Must be authorized to work in the United States without the need for current or future visa sponsorship, • Ability to think outside the box to uncover and solve hidden data quality or consistency issues, • Advanced understanding of statistical theory, including confidence intervals, hypothesis testing, and p-values, • Ability to design and implement scalable pipelines and analytical solutions that enable data-driven decision-making, • A mix of startup and large software company experience, comfortable navigating different scales and cultures, • Ability to work west coast hours $155,000 - $165,000 a yearThe salary range is based on the candidates experience as it relates to the role. #LI-RemoteNote: We are unable to sponsor or take over sponsorship of employment visas at this time. Working For SwiftlyWe are working on a set of problems that require the best in the industry to get right. Our employees are the pillars of the future of the company and they are treated and compensated as such. We're a growing team of experienced industry professionals building an organization that can solve tough problems and values a collaborative environment. Every Swiftly employee: -Has demonstrated the ability to work collaboratively in an ambiguous, fast-paced environment -Takes ownership of their domain from the ground up, from inception through deployment to customers -Leaves their ego at the door and ensures the best idea leaves the room -Is always experimenting with new technologies and learning new skillsets If you've ever wanted to work on a project that blends a gorgeous consumer experience, sophisticated logistics, and scale that rivals the largest technology players, Swiftly is the place for you. Equal Opportunity Employer Swiftly is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Swiftly will make reasonable accommodations in compliance with the Americans with Disabilities Act of 1990. Reasonable accommodations are available for qualified individuals with disabilities throughout the subsequent application process.

Summary We are looking for a hands-on Senior Data Engineer with experience building scalable ETL and data platforms in modern cloud environments. In this role, you will help design and implement the next generation of our data pipelines, enabling our platform to process and analyze growing volumes of ticketing, market, and consumer data. Our existing pipelines contain significant domain expertise and business logic that power our analytics platform. You will work to translate and evolve this logic into a scalable, maintainable architecture using modern engineering practices. This is a high-impact role with significant ownership over how data moves through our platform and supports the machine learning systems that drive our products. Job Function • Design and implement the next generation of our core data pipelines, • Translate existing pipeline logic into a clean, maintainable architecture, • Develop data pipelines in Python using modern best practices, • Improve pipeline observability, logging, and failure recovery, • Work with AWS services such as S3, Lambda, ECS, RDS, and/or Redshift, • Design and implement data validation, monitoring, and alerting, • Collaborate closely with leadership to define the future data architecture, • Document pipeline design and operational workflows Our Tech Stack • Python, • Apache Airflow, • AWS (S3, ECS, Lambda, RDS, Redshift), • Docker, • PostgreSQL What Success Looks Like • By the end of the engagement, you will have helped us:, • Deliver the next generation of our core ETL pipelines with a scalable and maintainable architecture, • Implement robust data validation, monitoring and observability across the data platform, • 7+ years of software or data engineering experience, • Proven experience designing and building ETL/data pipelines from scratch, • Strong expertise with Python for data engineering, • Deep familiarity with AWS data infrastructure, • Experience building production-grade pipelines with logging, monitoring, and error handling Nice to Have • Experience evolving existing data pipelines into scalable, production-grade data platforms, • Experience designing data quality / validation frameworks, • Familiarity with data observability and SLAs, • Experience with analytics or sports data, • High ownership and architectural influence, • Work directly with engineering leadership, • Small team with fast decision making, • Potential to convert to a full-time leadership role

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit ___. Location: US remote-friendly or any office location - SF, LA, CHI, NY Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. As a Staff Data Scientist on the team, you will play an influential role in guiding product strategy through proactively identifying opportunities, conducting exploratory analyses and sharing insights, and driving learning through experimentation. Responsibilities: • Help build the long term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention, • Influence strategic roadmaps through data-driven insights into user behaviors and needs, • Design metrics that help evaluate the health of the business and the success of our products, including any ETL development needed for consistent and robust analysis, • Drive experimentation from design through execution and analysis to maximize learnings and guide future investment decisions, • Build self-serve tools for product and engineering partners that answer common questions and/or increase data literacy in the organization, • Work cross functionally with product, engineering, and design teams to ensure insights make it to the product, • Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems Required Qualifications: • Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields (If M.S. or Bachelors degree, a minimum of 6+ years of industry data science experience required; If PhD degree, a minimum of 4+ years of industry data science experience required), • Expert knowledge of SQL and relational databases, • Familiarity with statistical analysis and the preferred programming languages of the team (R / Python), • Demonstrated ability to influence and guide product strategy with data, • Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way, • Familiarity with causal inference techniques and causal models, • Excellent communication and experience working with senior leaders / stakeholders, • Entrepreneurial, self-directed, and enthusiastic about solving problems, • Demonstrated ability to mentor other data scientists and share best practices to elevate the data science practice at Reddit, • Conform in innovative and fast-paced environments, and have a bias toward action., • Can discuss complex topics with technical and non-technical audiences Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k Match, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Reddit Global Days off, • Generous paid Parental Leave, • Paid Volunteer time off #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit ___. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $217,000 - $303,900 USD Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

About SecurityScorecard: SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the___ and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.” SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, Google Ventures, and Riverwood Capital. Role Overview: We are looking for a talented and driven Senior Data Scientist to join our fast-moving, growing Data Science team leveraging our vast and unique cybersecurity data assets. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced machine learning models that drive insights and enhance our cybersecurity platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products. Responsibilities: • Build, evaluate, and deploy machine learning models for cybersecurity risk scoring, threat intelligence, and vendor risk assessment., • Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets., • Evaluate and validate models, ensuring their accuracy, robustness, and scalability., • Collaborate with product managers and engineers to define data science requirements and integrate models into production systems., • Contribute to code reviews, design discussions, and data science best practices., • Stay current on new research and technologies to ensure we leverage state-of-the-art methods., • Communicate findings and recommendations effectively to both technical and non-technical audiences. Qualifications: • Advanced degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems., • 5+ years of experience applying data science and machine learning to real-world challenges., • Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow, Databricks)., • Experience working with cloud-based data pipelines (AWS, GCP, or similar)., • Solid understanding of ML algorithms, evaluation metrics, and model deployment., • Effective communicator and team player with a passion for solving hard problems., • Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus., • Prior exposure and interest in LLMs is a plus. Benefits: Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more! The estimated total compensation range for this position is $170,000 - $205,000 USD (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact . Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. SecurityScorecard does not accept unsolicited resumes from employment agencies. Please note that we do not provide immigration sponsorship for this position. #LI-DNI

Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Built In LGBTQIA+ Advocacy Award (2022) As a Senior Data Engineer at Maven Clinic, you will be responsible for designing, implementing, and maintaining performant and cost-efficient data pipelines (both batch and streaming). You will also play a key role in shaping Maven’s overall data architecture to expand our data warehouse capabilities and enhance our analytics, machine learning, and AI functions. You will work closely with cross-functional teams to ensure the delivery of high-quality, well-governed datasets and data products that empower data-driven decision-making across the business and product landscape, ultimately driving Maven’s growth and customer success. You will also collaborate with product and leadership teams to help shape the strategic roadmap for Maven’s data functions. As a Senior Data Engineer at Maven, you will: • Lead the design, development, and maintenance of high-performance, cost-efficient data pipelines - both batch and streaming., • Build and maintain robust data ingestion and export workflows that ensure end-to-end data quality, observability, and reliability in production environments., • Collaborate with data platform and backend engineering teams to evolve a scalable, secure, and fault-tolerant data architecture., • Drive technical design reviews and provide mentorship on engineering best practices, data architecture principles, and high coding standards., • Partner with product and service engineering teams to shape and model source datasets, ensuring alignment with a unified data vision across systems., • Stay ahead of emerging technologies, frameworks, and trends in the data space to inform architectural decisions and drive innovation within the team. We’re looking for you to bring: • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience., • 6+ years of experience in data engineering or backend systems development, with a track record of building scalable, performant, and reliable data solutions., • Highly proficient in SQL or similar languages for data transformation / ETL and analysis., • Deep experience in data modeling for large-scale distributed data warehouses (e.g., BigQuery, Redshift, Snowflake), with a strong understanding of design trade-offs and best practices., • Demonstrated ability to collaborate effectively with cross-functional partners, particularly product, analytics, and operations teams., • Working proficiency in one of the programming languages (Java, Python, Go, etc.), and hand-on experience with one of the workflow orchestration tools (eg. Apache Airflow), • Product-oriented mindset with a strong focus on scalable, maintainable engineering solutions that meet real business needs., • Experience leading design reviews and setting engineering standards and architecture direction., • Strong problem-solving abilities, with a bias for action and a drive to deliver high-quality solutions in a fast-paced environment. For candidates in NYC or CO, the salary range for this role is $196,000 - $230,000 per year. You may also be entitled to receive a bonus, stock options, and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens, • 401K matching for US-based employees, with immediate vesting These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits. Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: ___. For general and additional inquiries, please contact us at ___.

Good with data & engineering innovation in practice - you know how to put things together so that they don't blow up.

As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc. Expertise in data wrangling using SQL,. Extract, load and transform data (ETL) from structured and unstructured sources.