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Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply! You will: • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas, • Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success, • Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer, • Be accountable for the customer's technical experience throughout their time with Scale, • Work with AEs and PMs to identify customer-specific feature requests, • Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations, • Evangelize Scale and interact with customers at major events, • Have an active TS/SCI clearance Ideally you'd have: • Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way, • Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals, • Prior experience developing with Python and JavaScript, or other modern software languages, • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields, • Strong project management and interpersonal skills, • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers, • High level of comfort communicating effectively across internal and external organizations, • Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: • Experience in AI, • Experience working in classified environments, • Previous experience as a technical go-to-market resource, • Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment, • Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment, • Experience automating infrastructure and configuration management using Ansible or similar tools Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$290,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$170,000—$260,000 USDThe base salary range for this full-time position in the location of St. Louis is:$140,000—$220,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Locations US-CA-Bay Area | US-CA-Los Angeles | US-CO-Denver | US-VA-Chantilly | US-AL-Huntsville ID 2026-1908 Category Systems Engineer Required Security Clearance None Type Full-Time Stellar Solutions, a nationally recognized "Great Place To Work", has exciting opportunities providing Engineering solutions for innovative new-entrant space companies, as well as established space systems manufacturers, commercial space system operators and service providers, and other industry stakeholders including investors. At Stellar Solutions, we offer talented, energetic, and immediately productive resources to satisfy our customers' critical needs in systems engineering and integration, mission operations, program management and strategic planning. We are a leading service and expertise provider for high-tech commercial ventures, spanning communications, earth observation and remote sensing systems and data products, to the infrastructures that support earth orbiting and beyond earth orbit businesses. Stellar Solutions is seeking a Parts, Materials and Processes Engineer to support our Civil, Commercial, Defense and/or Intelligence Customers as part of a highly talented, highly motivated and high-performing team. As part of the technical team, you will support exciting new and existing programs which involve design, development, test, and deployment of complex space systems. As a subject matter expert on Parts, Materials and Processes, you will contribute to architectural and mission success of space systems that will be utilized by a variety of government and commercial stakeholders. In this position, the ideal candidate will: Recommend Electrical/ Electronic/ Electromechanical (EEE) parts and materials required for Space environmental effects • Generate required programmatic analyses, such as radiation, power, mass, EMC, reliability/FMEA, and DFMAT analyses to optimize the product design, • Recommend material selection and configuration/process improvements to address product reliability/quality/lifecycle survivability improvements, • Coordinate and characterize material and process qualifications of piece parts, assemblies, processes, and materials to meet customer/program requirements, • Generate and execute test plans, identifies and categorizes failures, determines root cause and documents results and recommendations, • Prepare Engineering Reports, Qualification Reports and Product Design Review Documents and make effective presentations, • Utilize knowledge of electronics and/or environmental test to support programs from design analysis and verification test plan definition through manufacturing implementation and final test and delivery to customer, • Coordinates resolution of issues with suppliers and customers, • Master's degree or higher in Engineering, Mathematics, Physics, Chemistry or Material Science, • 5+ years of experience in EEE parts selection, • 5+ years of experience leading or managing Corrective Actions or Root Cause Analysis, • 5+ years of experience analyzing and presenting technical data (oral or written), • 10 or more years' related work experience or an equivalent combination of education and experience Compensation: The typical pay range for this position is USD $100,000 - $175,000 per year. Individual pay is determined by many factors including work location, job-related skills, experience, and relevant education or training. This position is also eligible for a discretionary annual performance bonus, retirement plan and other benefits (all included as part of package). Translate customer requirements into documentation for parts, materials and process plan

Scale's Generative AI business is continuing to see tremendous growth and expansion. Engagement Managers (EMs) are the combination of externally customer-facing and internally operationally driven. In this role, you will be the primary owner of the customer relationship, managing ongoing projects and driving end-to-end engagements from new projects and pilots, owning the account execution, working cross-functionally to ensure Scale products and services are delivered consistently and on-time. Within Scale you represent the customer, aligning their objectives to how Scale's operations and product teams execute and deliver. The ideal candidate is organized, execution-focused, and thrives on managing complexity. Precision across tracking, documentation, quality alignment, and customer follow-through is what makes customers successful and builds the trust that earns Scale more work. You will be on the front lines of ensuring that these customers become passionate, lifelong Scale partners. • Own end-to-end execution and delivery for assigned customer projects, from kickoff through completion and quality feedback, • Manage customer communication, action items, and follow-ups across multiple concurrent projects, • Monitor delivery against SLAs, budget, and quality standards, proactively identifying risks and escalating blockers with proposed solutions, • Review, track and improve operational performances and be obsessed with continuous improvement, • Partner cross-functionally with operations and planning teams to improve delivery efficiency and drive better outcomes for customers, • 3 to 5 years of work experience, with experience in consulting, technical program management, or project coordination, • A track record of managing multiple concurrent workstreams with strong attention to detail and follow-through, • Experience in B2B client-facing roles where execution and delivery were core responsibilities, • An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results, • A technical background (education or professional experience with CS, Engineering, Economics, Mathematics, or another STEM field), • Familiarity with model and AI training workflows About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Join an agency committed to creating a healthy breathing environment for every Bay Area resident while protecting and improving public health, air quality, and the global climate! The Air District is currently accepting applications for the position of Systems Analyst (Limited Term) in the Enterprise Technology Solutions Division. This is an open recruitment for one (1) full-time, limited-term contract position. This is a Limited Term Contract Employee (LTCE) Position. LTCE positions are funded by grants or other designated funds which are not part of the Air District's ongoing general fund budget. LTCE positions are subject to individual employment contracts and are limited to the duration of their funding source. Regular employees have the right to apply for an LTCE position. However, LTCE positions are not subject to the terms of the Employee Association MOU, and LTCE employees serve on an at-will basis. The position is anticipated for a 2-year term. About the Position The Air District is seeking a highly skilled Systems Analyst with expertise in Microsoft Power Platform to join the Enterprise Technology Solutions Division. In this role, you will collaborate with IT and cross-functional teams to design, implement, and maintain innovative Power Platform solutions. Responsibilities include defining and documenting business requirements, developing Power Apps and Power Automate workflows, integrating secure and efficient data connections using Dataverse and other sources, and creating insightful dashboards and reports with Power BI. As a technical leader, you will ensure accuracy, timely delivery, and ongoing maintenance of applications that optimize processes, improve data integrity, and enable informed decision-making. This position requires a strong customer focus, with the ability to understand unique business needs, deliver user-friendly solutions, and ensure seamless implementation in support of the Air District's mission. About the Air District Bay Area Air District is a regional government agency, committed to achieving clean air to protect the public's health and the environment. The Air District accomplishes this goal through regulation of industrial facilities and various outreach and incentive programs designed to encourage clean air choices. The Air District's jurisdiction encompasses all of seven counties - Alameda, Contra Costa, Marin, San Francisco, San Mateo, Santa Clara and Napa, and portions of two others - southwestern Solano and southern Sonoma. At the Air District, we take pride in our commitment to fostering a workplace that values diversity and promotes cultural awareness. We prioritize employee engagement by providing a collaborative and inclusive environment that encourages active participation and open dialogue. Additionally, we believe in pay equity and strive to create an equitable compensation structure. With a strong emphasis on work-life balance, we understand the importance of supporting our employees' well-being both inside and outside the workplace. Join us in a dynamic and inclusive culture where your contributions are celebrated and your growth is nurtured. The Air District recognizes and values the contributions of every employee and works to sustain an environment where everyone is respected. We incorporate the principles of diversity, equity and inclusion within our decision-making strategies, policies, procedures, regulations, funding initiatives, public outreach, planning, and hiring. Hybrid Work Schedule - A schedule that meets the needs of our staff, department operations, and the communities we serve maybe available depending on the assignment. Distinguishing Characteristics This advanced, specialized classification performs complex duties in the development and acquisition of data communications, telecommunications, networking and system software and hardware, and develops and modifies complex application systems. The responsibilities of this class inherently include providing project leadership and work direction to others. In the Applications Program this classification focuses on application development and database design, and in the Operations Program this classification focuses on systems administration, computer operations and telecommunications support. This class is distinguished from Supervising Systems Analyst in that the latter has overall managerial responsibility for the staff and activities in the Applications, or Operations Programs. The following duties are typical for jobs in the class. They are for illustrative purposes only and do not reflect the full scope of job duties. Designs, develops, and implements Power Apps, Power Automate workflows, and Power BI dashboards to meet business needs. Develops and documents business rules and technical requirements for Power Platform applications. Assists in the development and implementation of goals, priorities, and policies relating to District-wide application development and management. Provides technical guidance and support for Power Platform-related solutions, including user training and troubleshooting. Designs, develops, tests and implements new systems to meet user requirements and needs. Directs the work of programmers in the development, testing and implementation of complex programs. Gathers and analyzes information regarding user systems and requirements; conducts feasibility studies and develops system, time, equipment and cost requirements; develops or modifies automated systems to fulfill those needs using computer generated techniques. Confers with user division staff regarding assigned functional program areas. Assists in the development and implementation of goals, priorities and policies relating to District-wide information management. Conducts special studies and projects involving administrative, organizational management analyses related to telecommunications, and network and multi-user data systems; prepares and presents recommendations and reports on system use, budget projections, and system designs and procedures. Maintains current knowledge of technology and new computer user applications. Oversees the staff and activities of assigned projects. Education and Experience: A typical way to obtain the knowledge and skills is: Equivalent to graduation from a four year college or university with major coursework in computer science, mathematics or a closely related field and two years of experience in systems design and analysis, systems programming, network and systems administration and/or data and voice communications. Desirable Qualifications: • Extensive experience designing, developing, and deploying solutions using Microsoft Power Platform, including Power Apps, Power Automate, and Power BI, with demonstrated expertise in data visualization best practices., • Proven ability to implement low-code/no-code solutions that streamline business processes, enhance data accuracy, and improve user experience., • Strong understanding of Dataverse and integration with multiple data sources for secure and efficient data management., • Experience establishing or contributing to a Power Platform Center of Excellence (CoE), including governance, standardization, and best practices for low-code/no-code development., • Knowledge of application security and compliance requirements for cloud-based and web-based solutions., • Familiarity with UI/UX principles, including accessibility standards (e.g., ADA compliance) for government organizations., • Advanced problem-solving and data analysis skills, with the ability to design scalable and user-friendly solutions., • Ability to work independently and collaboratively in cross-functional teams, providing technical leadership and customer-focused support. How to Apply Interested individuals must submit a completed Air District application and responses to the supplemental questions no later than 5:00 p.m. on Wednesday, May 27th, 2026. Applications are accepted online only. Please visit our website at to apply or to download an application. Resumes must be included, and not in lieu of the required application materials. Postmarks, faxes, and E-mailed applications will not be accepted. Except as requested in this announcement, do not include any additional documents, such as letters of recommendation, performance evaluations, work samples, etc. They will not be considered or returned. Supplemental Questions Instructions Individuals who apply for this position must respond to each of the required supplemental questions. Applications must be received by the Human Resources Division no later than the time and date specified in this vacancy announcement. The responses to the supplemental application questions will be used in accordance with the procedures indicated under the Selection Criteria section. Please limit your responses to no more than 500 words per question. Do not combine your responses or reference your application, resume, or any other requested documentation that you have included with your application packet to answer a question. This information will be evaluated as is and may be used to determine those applicants with the most directly related experience, education, and training to continue in the selection process. It is very important to provide a concise, clear, legible, complete response to each question. Selection Criteria Selection may be based upon a competitive examination consisting of a written exercise, interview, or combination of the two. Depending on the number of qualified applicants, an application screening and/or panel interview may be used to determine the most qualified applicants. Americans with Disabilities Act Accommodations Persons with disabilities who may require reasonable accommodations during the application and/or selection process should notify the Human Resources Division at (415) 749-4980. Equal Employment Opportunity The Air District does not discriminate on the basis of race, national origin, ethnic group identification, ancestry, religion, age, sex, sexual orientation, gender identity, gender expression, color, genetic information, medical condition, or mental or physical disability, or any other attribute or belief protected by law. It is the Air District's policy to provide fair and equal access to the benefits of the programs or activities it administers. The District is an Equal Opportunity Employer.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. Are you passionate about applying GenAI to improve efficiency and accelerate business execution-grounded in strong data foundations? Join Pinterest's IT Enterprise Systems team to build analytics engineering and GenAI capabilities that power our go-to-market and corporate operations. You'll create trusted data models and pipelines across core enterprise platforms and layer in LLM-enabled workflows with clear evaluation, observability, and guardrails. What you'll do: • Build production-grade GenAI-enabled analytics solutions that integrate enterprise data sources (e.g., Salesforce, Gong, Oracle, IBM Planning Analytics, and other SaaS platforms)., • Establish end-to-end LLM pipelines (retrieval/orchestration) with evaluation frameworks, observability, and validation guardrails to ensure reliability and safety., • Lead technical scoping for GenAI use cases, assessing feasibility, accuracy expectations, risk, and ROI-then translating into clear technical plans., • Design and own analytics-ready data models, including dimensional modeling (star schemas, fact/dimension tables, SCD Type 2) that support reporting, forecasting, and downstream applications., • Develop and maintain robust data pipelines and orchestration (Airflow and/or dbt or similar), including data quality checks, SLAs, monitoring, and failure recovery., • Write and optimize complex SQL for transformation and analysis across enterprise datasets (joins, window functions, CTEs, performance tuning)., • Partner closely with business stakeholders, turning ambiguous questions into well-scoped requirements, success metrics, and deliverables; communicate tradeoffs and constraints clearly., • Use AI tools to accelerate development responsibly (e.g., drafting SQL/Python, iterating on prompts, summarizing findings), while applying rigorous testing and verification., • Define best practices for GenAI in analytics engineering, including prompt patterns for analytics tasks, model selection, and cost/latency optimization. What we're looking for: • 8+ years in analytics engineering, data engineering, data science, or related roles (or equivalent experience)., • Bachelor's degree in Computer Science, Statistics, Data Science, Mathematics, or a related field (or equivalent experience)., • Strong understanding of LLM fundamentals and practical tradeoffs, including:, • Capabilities, limitations and common failure modes., • Tokenization, context windows, latency/cost considerations., • RAG vs. fine-tuning vs. prompting/tools for use cases., • Expert SQL skills (complex joins, window functions, CTEs, query optimization)., • Hands-on experience with dimensional modeling (star schemas, SCD Type 2) and workflow orchestration tools such as Airflow, dbt., • Demonstrated ability to validate AI-assisted output., • High integrity and ownership to handle sensitive enterprise data appropriately and remain accountable for final outputs., • Strong stakeholder communication with the ability to explain technical constraints to non-technical partners., • Experience with GenAI coding tools (e.g., Cursor, Claude Code) to accelerate development while maintaining code quality and maintainability. Relocation Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. In-Office Requirement Statement: • This role will need to be in the office for in-person collaboration 1-2 times/quarter every 6-months and therefore can be situated anywhere in the country., • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$139,764—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Type: Term (Fixed Term) Overview ___ is seeking technically excellent and mission-driven AI Security / Biosecurity Engineers to work across a number of our most critical and fast-paced AI security and biosecurity workstreams. RAND CAST works on pressing national security challenges related to emerging technologies. Our areas of focus include AI security, compute, biosecurity and bioresilience, and the intersection of AI and biotechnology. Emerging technologies, especially AI and biotechnology, have many promising beneficial and defensive applications. Given their dual-use nature, they also present a number of new security challenges. RAND CAST explores ambitious technical and policy approaches to solving these complex problems. We are a team of world-class technical and policy analysts, engineers, and scientists giving decision-makers the objective insights they need to navigate global emerging threats. Position Description We are looking for individuals who are driven by a bias for action; capable of developing and securing complex systems under high-stakes and fast-paced conditions; and can act as an owner, not just a contributor, with end-to-end ownership of critical, sensitive data infrastructure in a highly autonomous environment. We have a number of ongoing technical projects across our AI security and biosecurity teams. Candidates will discuss initial projects with program leads as part of the interview process. Qualifications Required: * Professional experience in software engineering with a focus on backend engineering and/or data engineering. * Demonstrated ability to build robust and technically complex systems with a security-first mindset. * Experience operating, monitoring, and deploying systems using modern cloud infrastructure. * Preference for working in a fast-paced, autonomous environment. * Excellent communication skills, both written and verbal, tailored to technical and non-technical audiences * Fluency with MS Office suite Preferred: * Advanced knowledge of integrating Large Language Models (LLMs) into workflows. * Background in biosecurity, dual-use technology, or AI security and misuse. * Ability to scope cross-functional projects with internal customers and own their execution. * Experience with distributed data processing platforms. Education Requirements PhD in Biological Sciences, Computational Biology, Biotechnology, Bioinformatics, Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar is required. OR Master's degree in the fields listed above with 3+ years of professional experience, is required. OR Bachelor's degree in the fields listed above with at least 5+ years of professional experience, is required. Master's or PhD preferred. Term This position is structured as a three-year appointment with options to later extend the initial appointment and explore other opportunities for growth. Security Clearance Ability to obtain and maintain a U.S. government clearance is preferred. Location We are hiring for this position in San Francisco, CA; Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work will also be considered. Salary Range: $118,500 - $261,400 Technical Resident, Associate II = $118,500 - $171,900 Technical Resident, Specialist = $146,200 - $211,900 Visiting Technical Expert = $167,300 - $261,400 RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). This position may be eligible for additional compensation. In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more. Equal Opportunity Employer

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Join Planet's Software Engineering Team as a Senior Geospatial AI/ML Engineer and help us build the next generation of geospatial intelligence. In this role, you will develop cutting-edge capabilities using geospatial embeddings, advanced multi-modal architectures, unsupervised and semi-supervised techniques, and vision transformers. You will design, develop, and deploy sophisticated machine-learning models that transform massive imagery and sensor data archives into high-fidelity, actionable intelligence about global activity. Your work will heavily leverage Electro-Optical (EO), Multi-Spectral Imaging (MSI), and Synthetic Aperture Radar (SAR) modalities. The ideal candidate exudes an enthusiasm for working in an AI forward development flow. You naturally integrate AI-assisted tools into your workflow to drive your own productivity and enjoy being part of a team that treats AI as a core collaborator in the development lifecycle. The ideal candidate expresses great passion for machine learning, programming, remote sensing, and large-scale scientific computing. This is a full-time, hybrid role which will require you to work from our new Denver, CO office 3 days per week. Impact You'll Own: • Apply advanced expertise in multi-modal architectures, LLMs, and vision transformers to process massive datasets from EO, MSI, and SAR sensors., • Own the complete lifecycle of new models, from data curation and rigorous model analysis to deployment, stability, and continuous improvement., • Handle and solve complex, ambiguous technical challenges, aligning your solutions with the company's larger goals., • Bachelor's degree in Computer Science, Applied Mathematics, Physics, or a related field., • 6+ years of relevant industry experience in machine learning, data science, or geospatial algorithm development., • Proficiency in Big Data and AI/ML at scale., • Experience with multi-modal data processing (EO, MSI, SAR), Computer Vision, and Perspective Geometry., • Full-stack capabilities, including front-end GUI, database management, and containerization (Docker)., • Ability to balance innovative and creative technological approaches with strong coding talent., • Expertise that can extend support beyond the Defense and Intelligence (D&I) sectors, aligning with Planet's strategic mission expansion. June 30th, 2026 at 11:59p PT Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office) The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. New York City + California Salary Range$153,000—$191,300 USDSan Francisco Salary Range$162,600—$203,200 USDUS National Salary Range$142,800—$178,500 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. ___ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is a hybrid role (3 days in office / 2 days remote). About Your Team: Shape the Future of Market Integrity at Interactive Brokers. Interactive Brokers (IBKR) seeks a Quantitative Software Engineer to join our elite transaction surveillance team. You will leverage your quantitative skills and experience in financial markets to develop sophisticated detection systems that identify market manipulation, fraud, and money laundering attempts before they impact market integrity. Your work will directly influence how one of the world's largest electronic brokers protects the financial ecosystem. What will be your responsibilities within IBKR: • Architect next-generation surveillance models to detect emerging manipulation patterns across global markets, • Partner with compliance leadership to ensure surveillance systems meet and exceed regulatory expectations, • Translate your experience into algorithms that identify suspicious trading and cashiering activity with high accuracy, • Conduct sophisticated data analysis on massive financial datasets (hundreds of millions of daily orders, millions of daily trades), • Evaluate model performance to optimize detection accuracy while minimizing false positives, • Document methodologies to withstand regulatory scrutiny and examination. Which skills are required: Attention Candidates: If your experience is exclusively in bank risk departments building, VAR models or similar frameworks, please note this role involves fundamentally different expertise in surveillance technology and compliance systems. • Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field, • Strong programming proficiency in Python, • Professional experience: 5+ years (3+ for Master's, 1+ for PhD) hands-on experience in market surveillance, • Domain expertise in at least one of:, • Large-scale financial data analysis (orders, trades, market data), • Market manipulation detection methodologies (spoofing/layering, insider trading, money laundering, fraud, etc.), • Regulatory-driven feature engineering, • Communication excellence in explaining complex surveillance concepts to diverse stakeholders. Good to haves: • Regulatory background at the SEC, FINRA, or major securities exchanges, • Advanced degree in a quantitative discipline, • Mastery of Python data science tools (pandas, scikit-learn, xgboost, catboost), • Deep understanding of market microstructure and trading strategies, • Specialized knowledge in AML and market manipulation typologies To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills., • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits, and a company-paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance is provided, and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events, including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups

Job Description Job Summary: Under the direct supervision of the Project Manager, the Biomed Technician - Bed Maintenance is responsible for inspecting, testing, and performing both corrective and preventative maintenance on a variety of hospital beds. This technician ensures all equipment is safe, functional, and compliant with healthcare standards. Essential Responsibilities: • Inspect, diagnose, and repair mechanical, electrical, and hydraulic components of hospital beds and gurneys., • Perform preventative maintenance to ensure optimal equipment performance and reduce downtime., • Conduct thorough safety checks and function tests on all repaired and maintained equipment., • Replace defective or worn components, including motors, control panels, side rails, and actuators., • Maintain detailed service records and documentation for inspections, repairs, and maintenance performed., • Train healthcare staff on the safe and proper use of beds and related equipment., • Communicate clearly with clinical and maintenance teams to ensure timely resolution of equipment issues. Types of Equipment Maintained: • Hospital beds: electric, manual, and specialized long-term and acute care beds Required Qualifications & Skills: • High School diploma, GED, or trade school graduate (courses in mathematics and electricity preferred), • Demonstrated competence in troubleshooting and repairing complex bed systems, • Strong knowledge of mechanical, electrical, and hydraulic systems, • Excellent communication skills, both verbal and written, • Proficient in reading and interpreting technical manuals, schematics, and diagrams, • Strong organizational and documentation skills; detail-oriented and accurate, • Ability to work independently and under deadline pressure Preferred Qualifications: • Minimum of 2 years’ experience in electromechanical device maintenance and repair, • Previous experience working in a hospital or healthcare setting, • Familiarity with equipment from Agiliti, ARJO, Hill-Rom, and Stryker, • Intermediate computer skills (Microsoft Word, Excel, and Outlook), • Bilingual skills a plus

Job Title: Nuclear Engineer (Naval Reactors Engineer) Category / Component: Officer • Active Overview Design, regulate, and oversee the Navy's nuclear propulsion program, including reactor design, fleet operations, and eventual defueling and decommissioning of nuclear powered ships and submarines from Naval Reactors Headquarters and associated Department of Energy laboratories and shipyards. Key Responsibilities Provide technical direction in areas such as reactor and fluid systems design, reactor physics, materials development, component design for steam generators, pumps, and valves, instrumentation and control for reactor and propulsion plants, testing and quality control, radiation shielding, and chemistry and radiological controls; review designs and analyses from laboratories, shipyards, and industry partners; coordinate with fleet units to ensure safe and reliable nuclear plant operation. What to Expect Assume significant technical responsibility early in your career as part of a lean headquarters staff; work primarily in an analytical and oversight role rather than operating plants at sea; balance long term engineering projects with time sensitive fleet and shipyard issues; frequent coordination with senior civilian engineers, naval officers, and technical teams; high expectations for attention to detail, judgment, and written and oral communication. Work Environment Work mainly at Naval Reactors Headquarters in the Washington, District of Columbia area with regular engagement with Department of Energy laboratories, nuclear training sites, shipyards, and nuclear powered ships and submarines; office based work that includes document reviews, technical meetings, inspections, and site visits rather than day to day shipboard watchstanding. Pathways, Training & Advancement Officer commissioning through programs such as Officer Candidate School or the Nuclear Propulsion Officer Candidate program followed by a structured technical qualification program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet support issues; progressive responsibility leading projects and becoming a subject matter expert, with opportunities for professional military education and advanced graduate study in technical fields. Entry through the Nuclear Propulsion Officer Candidate program for qualified college students and recent graduates, or selection via Officer Candidate School for those who already hold qualifying degrees; all applicants must meet Nuclear Propulsion Program academic and technical screening standards in addition to general officer commissioning requirements. Qualifications All Navy jobs require meeting general enlistment or commissioning standards, which typically include: Eligibility to serve in the United States Navy, which may involve United States citizenship or other legal residency and work status, depending on the program and current law and policy A high school diploma or equivalent for enlisted positions, and a bachelor's or qualifying professional degree for officer positions Meeting age limits that vary by program and are set in law and Navy policy. Some communities have more restrictive age ranges Meeting medical, vision, and dental standards, including body composition and physical fitness requirements, with some jobs requiring more demanding standards Meeting character and conduct standards, including background screening Achieving required test scores for your program, such as the Armed Services Vocational Aptitude Battery for enlisted roles or officer qualification tests for officer programs Eligibility for a security clearance when required for your rating or designator Additional qualifications can include specific skills, education, licensure, or experience that are unique to a job or community and will be reviewed with you by a recruiter. Additional qualifications for this job may include: Completion of a rigorous technical degree in engineering, physics, mathematics, or a closely related field that includes strong backgrounds in calculus and physics; outstanding academic record, particularly in technical coursework; United States citizenship and eligibility for a high level security clearance; strong technical aptitude and comfort with detailed analytical work. Education Education benefits are available through standard Navy programs such as Tuition Assistance, the Post-9/11 GI Bill, ACE-recommended college credit for Navy training, Navy COOL-funded certifications, USMAP apprenticeships, and other Navy College Program opportunities. Specific options depend on the Sailor's status, training, and current Navy policy. Pay, Benefits & Service Pay, benefits, and service commitments follow standard Navy Active and/or Reserve policies for this type of role, including basic pay, allowances when eligible, health coverage, and retirement options. Exact entitlements, special pays, and service obligations depend on program, component, years of service, and current law and Navy guidance. Incentives Incentives such as bonuses, special pays, and loan repayment may be available at times for specific ratings or communities, but they change frequently and cannot be guaranteed. Applicants must confirm current incentives and eligibility with an official Navy recruiter or authoritative Navy source. Notes and Disclaimers This description is a general overview of typical duties, training, and opportunities in this community. It does not replace official Navy instructions, policies, or contracts and does not guarantee specific assignments, training, incentives, or outcomes. Actual opportunities depend on Navy needs, individual performance, screening results, and current law and policy.

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds... ClinChoice is searching for a Principal Statistical Programmer Consultant to join one of our clients. The Principal Statistical Programmer will serve as a senior technical expert responsible for end-to-end programming deliverables, study leadership, and oversight of internal teams and external vendors. This role requires advanced expertise in SAS, familiarity with R, deep knowledge of CDISC standards, and strong experience working on oncology studies and regulatory submissions. * Lead programming activities for oncology clinical trials across multiple studies. * Develop, validate, and maintain SDTM and ADaM datasets following CDISC guidelines. * Oversee production of Tables, Listings, and Figures (TLFs) for study reporting and submissions. * Provide SAS programming expertise to support complex data derivations and analyses. * Review and ensure traceability, consistency, and quality of all programming deliverables. * Act as programming lead for assigned studies, managing timelines and deliverables. * Work closely with Biostatistics, Data Management, Medical Writing, and Regulatory Affairs. * Coordinate with CROs and external vendors, ensuring compliance, quality, and adherence to client programming standards. * Support integrated analyses including ISS/ISE. * Prepare submission-ready programming outputs and documentation, including define.xml, annotated CRFs, and reviewer guides. * Ensure all programming meets regulatory requirements (FDA, EMA, PMDA). * Contribute to responses for regulatory queries and data requests. * Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or related field. * 8–12+ years of statistical programming experience in pharma/biotech or CRO. * Expert-level proficiency in SAS. * Strong understanding of CDISC SDTM and ADaM standards. * Significant experience supporting oncology clinical trials (hematologic or solid tumors). * Experience supporting regulatory submissions and preparing submission-ready outputs. * Excellent communication skills and ability to collaborate cross-functionally. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-DNP

Job Title: Senior Software Engineer Company: Snapsheet Job Location: USA, Remote Job Type: Full-time, direct hire About Snapsheet: Snapsheet is claims technology the way it should be: purposeful, precise, and designed to deliver outcomes. Where others bolt things on, we engineer them into our core systems and processes across cloud-based claims management, virtual vehicle appraisals, and elite loss and recovery services. Trusted by over 170+ P&C Carriers, MGAs, MGUs, TPAs, and logistics companies, our open architecture is built to fit how our companies work, not the other way around. Role Overview: As a Senior Software Engineer, you will be a key contributor to the evolution of our industry-leading claims engine. Because we are hiring across multiple high-impact teams, your specific placement will be aligned with your technical strengths and our current initiatives. In this role, you will architect scalable solutions, mentor emerging talent, and collaborate across departments to solve complex problems for our global partners. We look for "full-stack thinkers" who thrive in an agile, remote-first environment and are passionate about building purposeful technology that delivers real-world results. What you’ll get: • Remote working environment - your new commute is however long it takes to walk to your desk!, • Flexibility - empathy is ingrained in who we are and we are happy to offer a flexible PTO policy, casual dress code, and more!, • Development - Mentorship programs, 1-on-1 management, promote when ready culture, quarterly internal promotion opportunities, and goal setting sessions., • BS in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related STEM field, • 5+ years of full-stack web development experience, • Designing and building APIs, • Designing schemas and performant queries for relational databases, • Understanding of scalability challenges and performance of server-side code, • Prior professional experience using React, • Prior experience using Ruby on Rails a plus, • Eagerness to learn from and work with a collaborative team, • Commitment to quality and passion for technology and creating cutting-edge solutions, • Ability to manage tasks and to contribute towards multiple initiatives during a sprint Our tech stack:, • Frameworks: Ruby on Rails and React, • Methodology: Agile At Snapsheet, we know that growth doesn’t happen in a vacuum—it’s fueled by the right support at the right time. That’s why we’ve built a benefits experience designed to grow with you, wherever life takes you. • Choose from 2 robust medical plans through Blue Cross Blue Shield—plus, we contribute to your HSA when you enroll in our high-deductible health plan., • Offer two dental plans and one vision plan to keep you and your family healthy., • Peace of mind with company-paid Short Term Disability, Long Term Disability, and Life Insurance., • Additional protection through voluntary benefits like Accident Insurance, Hospital Indemnity, Critical Illness, and Legal Assistance., • 401(k) with a 4% company match—because your future is worth investing in., • Flexible PTO and 7.5 company-observed holidays to recharge on your terms., • In-person connection points throughout the year including our annual Summit and Roadshows., • Snapsheet SWAG and surprise mailers to keep the spirit alive., • Endless opportunity to shape your path—career growth, learning, and real impact are all within reach. For this position, the base salary range is $135,000 - $165,000. While this range serves as a guideline, your actual compensation will reflect your unique experience, skill set, and location. At Snapsheet, we believe growth should be rewarded—our compensation and benefits are built to evolve with you as your career does. We are not currently accepting applications for candidates who reside in New York or California. *Please note that we are unable to sponsor applicants for work visas for this position at this time. Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply for jobs unless they meet every single qualification. At Snapsheet, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. Snapsheet is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need assistance or accommodations, please let us know by emailing ___. Snapsheet is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. #BI-Remote #LI-Remote Snapsheet is an equal opportunity employer.

The Senior Software Engineer develops, tests, and maintains applications using Python, Django, PostgreSQL, and Vue.js within our AWS-centric SaaS environment. While primarily focused on full-stack development, familiarity with DevOps practices supports efficient development and release processes. This role requires strong problem-solving skills and the ability to work across all aspects of a multi-tiered architecture. The ideal candidate is self-motivated, detail-oriented, adaptable, customer-focused, and eager to mentor team members. They identify areas for improvement and act on them. You will collaborate with engineers, managers, product management, and operations to deliver solutions that meet customer, business, and technical requirements. Key Responsibilities Development and Architecture • Design, develop, and maintain full-stack applications, • Perform code and design reviews with the development team, • Develop and maintain automated testing frameworks, • Design and implement monitoring and alerting solutions, • Monitor and remediate security vulnerabilities (dependency CVEs, infrastructure misconfigurations) DevOps and Infrastructure • Design and implement CI/CD pipelines and infrastructure automation, • Manage release processes and develop release documentation, • Ensure team adherence to development and release best practices, • Manage and maintain Kubernetes clusters and containerized workloads, • Update and maintain AWS infrastructure, including networking, security groups, and cloud resources Collaboration and Improvement • Participate in Agile ceremonies and collaborate daily with the delivery team, • Track and improve developer experience, • Introduce new tools and practices to improve how the team builds and ships software, • Master and help the team adopt AI-assisted development tools such as Claude Code and GitH Required Qualifications • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience), • 5+ years of professional software development experience, • 3+ years of experience with AWS, • Proficiency with Python, Django, PostgreSQL, and Vue.js, • Strong SQL skills with ability to write complex queries, • Experience with Git and version control workflows, • Experience building REST APIs with Django REST Framework (DRF), • Experience in Agile/Scrum environments, • Strong problem-solving, analytical, and communication skills, • Ability to troubleshoot effectively under pressure Preferred Qualifications • AWS certification, • Experience with Docker, Kubernetes, and containerization, • PostgreSQL performance tuning, • Experience defining and managing DevOps processes, • Experience with GitHub Actions or similar CI/CD tools, • Familiarity with Jira, Confluence, and reporting tools Estimated Salary Range for this position: $114,000 to $152,000 The base salary range represents the anticipated low and high end of the GHX’s salary range for this position. The base salary is one component of GHX’s total compensation package for employees. Other rewards and benefits include: health, vision, and dental insurance, accident and life insurance, 401k matching, paid-time off, and education reimbursement, to name a few. To view more details of our benefits, visit us here: ___ #LI-SR GHX: It's the way you do business in healthcare Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes. GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions. It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce - not shift - the cost of doing business, paving the way to delivering patient care more effectively. Together we take more than a billion dollars out of the cost of delivering healthcare every year. GHX is privately owned, operates in the United States, Canada and Europe, and employs more than 1000 people worldwide. Our corporate headquarters is in Colorado, with additional offices in Europe. Disclaimer Global Healthcare Exchange, LLC and its North American subsidiaries (collectively, “GHX”) provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. All qualified applicants will receive consideration for employment without regard to any status protected by applicable law. This EEO policy applies to all terms, conditions, and privileges of employment, including hiring, training and development, promotion, transfer, compensation, benefits, educational assistance, termination, layoffs, social and recreational programs, and retirement.GHX believes that employees should be provided with a working environment which enables each employee to be productive and to work to the best of his or her ability. We do not condone or tolerate an atmosphere of intimidation or harassment based on race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. GHX expects and requires the cooperation of all employees in maintaining a discrimination and harassment-free atmosphere. Improper interference with the ability of GHX’s employees to perform their expected job duties is absolutely not tolerated. Read our ___

Job Title: Staff Software Engineer Company: Snapsheet Job Location: USA, Remote Job Type: Full-time, direct hire About Snapsheet: Snapsheet is claims technology the way it should be: purposeful, precise, and designed to deliver outcomes. Where others bolt things on, we engineer them into our core systems and processes across cloud-based claims management, virtual vehicle appraisals, and elite loss and recovery services. Trusted by over 170+ P&C Carriers, MGAs, MGUs, TPAs, and logistics companies, our open architecture is built to fit how our companies work, not the other way around. Role Overview: As a Staff Software Engineer, you will drive the technical vision and architectural strategy for our core systems and platform. Because we are a growing organization with multiple high-impact teams, your specific placement will be determined by your technical expertise and our strategic initiatives. In this role, you will work with senior-level stakeholders to drive critical decisions on vendor-related features and the future of our platform's functionality. We look for technical leaders who are passionate about mentoring engineers, leading complex feature development, and delivering impactful, production-ready solutions in a collaborative, remote-first environment. What you’ll get: • Remote working environment - your new commute is however long it takes to walk to your desk!, • Flexibility - empathy is ingrained in who we are and we are happy to offer a flexible PTO policy, casual dress code, and more!, • Development - Mentorship programs, 1-on-1 management, promote when ready culture, quarterly internal promotion opportunities, and goal setting sessions., • BS in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related STEM field, • 7+ years of full-stack web development experience, • At least 4 years of experience working with relational databases, • Experience leading larger projects and being the POC (Primary Point of Contact), • Experience planning, scoping and creating architecture documentation, • Experience mentoring junior developers, • Strong debugging and problem-solving skills, • Strong technical communication skills; able to articulate complex ideas clearly, • Demonstrated experience solving scalability challenges and discussing them in depth, • Curious and proactive in understanding the systems and tools beyond surface-level frameworks, • Willingness to dive deep and gain expertise in at least one technical area, • Clear understanding of the product and business context behind their workOur tech stack:, • Frameworks: Ruby on Rails and React, • Methodology: Agile At Snapsheet, we know that growth doesn’t happen in a vacuum—it’s fueled by the right support at the right time. That’s why we’ve built a benefits experience designed to grow with you, wherever life takes you. • Choose from 2 robust medical plans through Blue Cross Blue Shield—plus, we contribute to your HSA when you enroll in our high-deductible health plan., • Offer two dental plans and one vision plan to keep you and your family healthy., • Peace of mind with company-paid Short Term Disability, Long Term Disability, and Life Insurance., • Additional protection through voluntary benefits like Accident Insurance, Hospital Indemnity, Critical Illness, and Legal Assistance., • 401(k) with a 4% company match—because your future is worth investing in., • Flexible PTO and 7.5 company-observed holidays to recharge on your terms., • In-person connection points throughout the year including our annual Summit and Roadshows., • Snapsheet SWAG and surprise mailers to keep the spirit alive., • Endless opportunity to shape your path—career growth, learning, and real impact are all within reach. For this position, the base salary range is $175,000 - $190,000 (LTIP Eligible). While this range serves as a guideline, your actual compensation will reflect your unique experience, skill set, and location. At Snapsheet, we believe growth should be rewarded—our compensation and benefits are built to evolve with you as your career does. We are not currently accepting applications for candidates who reside in New York or California. *Please note that we are unable to sponsor applicants for work visas for this position at this time. Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply for jobs unless they meet every single qualification. At Snapsheet, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. Snapsheet is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need assistance or accommodations, please let us know by emailing ___. Snapsheet is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. #BI-Remote #LI-Remote Snapsheet is an equal opportunity employer.

Ignite Digital enables national security agencies to accelerate decisions, elevate operational outcomes and achieve the outsized performance only an inside partner can deliver. We combine mission experience, domain knowledge and technology expertise with the things partners can only know by being there every day. When agencies need a combination of tech and touch, Ignite Digital creates outcome-driving partnerships and stands with agencies to accomplish mission objectives. Ignite Digital accelerates capability to the speed of every mission, deploying intelligent solutions and AI integration for faster, better transformation. Ignite delivers partnership beyond presentations to inspire the confidence to lead in a digital-forward world. Ignite Digital. The Edge from Within. Perks of Working at Ignite Digital: • Competitive pay and benefits, including PTO, • Education stipends and referral bonuses, • Compelling work with the U.S. federal government, • Strong emphasis on volunteer and community engagement, • Opportunity to shape the future of our industry, • Supportive colleagues and management who invest in your growth This role will be supporting the Naval Research & Development Establishment (NR&DE) organization, which is part of the Decision Advantage Solutions Hub (DASH) Integrated Product Team (IPT). NR&DE comprises 15+ warfare centers in addition to NIWC Atlantic, as well as University Affiliated Research Centers (UARCs) and a Federally Funded Research Development Center (FFRDC). The NR&DE has several Communities of Practice (CoPs), whose members are expert representatives from each of the warfare centers. The CoPs are each working on challenges to improve their domain of practice. In many cases, this work is driving requirements for analytics. The Naval Information Warfare Center (NIWC) Atlantic Rapid Capabilities Cell (RCC) focuses on rapidly identifying and implementing affordable Enterprise IT solutions by promoting innovation, developing our personnel and forming strategic partnerships across NIWC Atlantic and with its customers, which include Department of the Navy (DON) Program Executive Offices (PEOs). NIWC LANT RCC: • Provides engineering, logistics, and PM support solutions, • Provides automation through development and deployment of modern software-intensive solutions, • Provides hosting for software application and services including private and commercial Cloud services, • Performs install and sustain enterprise systems for the Fleet and DoD Required Experience • BS degree in Physical Sciences, Computer Science, Mathematics, Psychology, Business Intelligence, Business Administration or Finance, Statistics, or Management Information Systems, • 6 or more years of experience with:, • Analyzing use cases and high-level requirements to define lower-level requirements sufficient to design and implement data solutions, • Analyzing and refining enterprise metrics and business rules in coordination with stakeholders, and identify associated data needs and sources, • Establishing and refreshing data architectures/models, data standards, data transformations, and data integrations, • Designing, building, publishing, refreshing, and enhancing references that define terms, metrics, business rules, and the like for transparency to business analysts and other consumers, • 5 years of experience supporting corporate operations functions with data management and analysis, • 3 years of experience in the areas of data management, data analysis, and data visualization, • 3 years Business Intelligence experience in designing and building dashboards, reporting solutions, and data integration using the SAP Business Objects 3.1 (or newer) reporting suite, • Experience in designing multiple data visualization techniques and applying the most appropriate visualization tailored to different audiences, • Experiences related to project planning, recommending timelines and milestones, and identify risk areas; working and consulting with cross-functional teams in the delivery of a product or service; developing analytical models in spreadsheets and using presentation tools to facilitate communication with stakeholders., • Python, SQL, Data modeling, APIs, • Software design, testing, optimization, • Knowledge and skill with AI libraries Salary: 115k+ to align with experience and education Schedule: remote Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Ignite Digital is a Small Business committed to providing exceptional service to government agencies at competitive prices. The capabilities and experience of our staff and our extensive industry relationships distinguish Ignite Digital Services among government contractors. Equal Opportunity Employer/Veterans/Disabled For individuals who would like to request an accommodation, please visit ___ (CA) or ___ (SC) or contact Human Resources. Ignite Digital Services will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal employment opportunity, employment eligibility requirements or related matters. Nor will Ignite Digital Services require, in a posting or otherwise, U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

Reli. is a dynamic eCommerce company experiencing rapid year-over-year growth via selling on Amazon (___), Walmart, our own Shopify store, and eBay. We currently service 10,000+ orders daily across our eCommerce marketplaces, with over 1,000,000+ unique customers such as Marvel, Dominos, and ___ We pride ourselves in our strong, upbeat work culture and dynamic startup feel. We are looking for new team members who are enthusiastic and willing to learn and grow with the company. We’re looking for a Software Developer who can help with developing scripts and tools to support our digital advertising, product, and supply chain ___ We are seeking a highly qualified Software Developer to join our team. The ideal candidate will possess strong data analysis and coding skills. You will be responsible for the design, development, testing, and maintenance of internal software systems, tools, and applications. This role requires technical proficiency, problem-solving capabilities, and the ability to work both independently on tasks and collaborate with other software developers and project managers. This position is classified as a specialty occupation, requiring a minimum of a bachelor’s degree in computer science, engineering, or a related field due to the complexity and sophistication of its duties. • Paid Time Off (Vacation, etc.) - 15 Days PTO to Start + 1 additional day per year working at Reli., • 10 Paid Holidays in addition to PTO, • Hybrid Work Schedule, • Regular Team Happy Hours/Events, • Employer Matching for 401(k), • Health Care (Medical, Vision, Dental) - Blue Shield PPO or HMO Medical Insurance, • Monthly wellness stipend of up to $260 for mental, emotional, and physical wellbeing, • Life Insurance, • Career Growth: At Reli., our cornerstone core value is Supporting Happiness. Thus, we believe in structured, transparent career development to support team members. This role features a Growth Plan with robust training and ongoing support to help you advance to the next level. With each Level, you'll have the opportunity to expand your expertise and take on greater responsibilities, earning performance-based compensation increases along the way. We also support your growth beyond Software Developer, ensuring your career path remains rewarding and ___, • Hybrid Remote: Reli. is headquartered in Cerritos. We are Hybrid Remote. Our work-from-home days are on Mondays, Wednesdays, and Fridays. Our in-office days are on Tuesdays and Thursdays to facilitate team bonding and collaboration., • Develop, optimize, and maintain complex Python scripts to support large-scale processes in digital advertising, supply chain management, and product launches., • Create modular, reusable codebases that improve efficiency and scalability., • Participate in the design and architecture of new systems and solutions, contributing to discussions on best practices and technical strategies., • Perform advanced data analysis to uncover trends, correlations, and actionable insights, supporting team strategies for customer acquisition, advertising performance, and operational improvements., • Collaborating with digital advertising, product, and supply chain teams to identify and pursue opportunities for optimization, • Take ownership of projects from scoping to deployment, ensuring adherence to timelines, quality standards, and stakeholder requirements., • Devising strategies to support marketing and advertising initiatives for driving growth/customer acquisition, • Provide feedback to Junior Software Developers (JSDs) on code reviews, share best practices, and support technical growth., • Bachelor’s or Master’s degree in computer science or related discipline (mathematics, physics, engineering), • 3+ years of coding experience working on a team of developers, • Proficiency in Python, with a strong understanding of libraries such as Pandas, NumPy, and SQL for data processing., • Interest in eCommerce and digital advertising, • Strong Attention to Detail - Understanding the importance of following detailed specifications for generating scripts with the desired functionality, • Resourceful - independent and a problem solver, • Feedback Oriented - Willingness to learn and incorporate constructive feedback

Schonfeld Strategic Advisors LLC has an opening for a Quantitative Researcher (Equity Derivatives) in New York, NY. The position duties are as follows: Providing quantitative research support the equity derivative portfolio. Responsible for integrating different risk management systems, data feeds and alpha generation. Utilize strong technology skills and advanced programming languages, such as Python or C++, and experience with software solutions to carry out the following day-to-day duties: • Working on ad hoc risks scenarios and metrics specific to Volatility strategies;, • Building & cleaning database of volatilities using external data providers;, • Improving & creating new volatility metric screeners;, • Building custom backtester for volatility strategies and statistical analysis of trades;, • Helping Alpha generation ideas through semi systematic volatility strategies. The position requires a Master’s Degree in Physics, Quantitative Finance, Computer Science, or Mathematics or a related quantitative field or foreign equivalent, plus 2 years of experience as a Quantitative Researcher or Quantitative Developer, or a similar role working in equity derivatives. Experience must include: • 2 years of experience utilizing advanced programming languages, such as Python, C++, and Java., • 2 years of experience with Cluster/Scheduler software solutions., • 2 years of experience in leveraging financial analysis to create mathematical models to develop improved tools or advanced financial instruments., • 2 years of experience in designing, developing, and improving financial models and analytics for execution research and quantitative trading., • 2 years of experience in building and calibrating market impact models, • 2 years of experience in equity derivatives pricing and risk computing., • 2 years of experience in volatility financial models, including equity derivatives., • 2 years of experience in the optimization of collecting, filtering, and analyzing market data using databases, • 2 years of professional or academic experience in machine learning algorithms regressions and classifications algorithms. Part-time telecommuting permitted. Offered Wage: $200,000/year CV to Dylan Katz (), Ref. ZS25 Schonfeld Strategic Advisors LLC is an Equal Opportunity Employer #LI-DNI

Job Title: Senior Software Engineer - Foundational Services Company: Snapsheet Job Location: USA, Remote Job Type: Full-time, direct hire About Snapsheet: Snapsheet is claims technology the way it should be: purposeful, precise, and designed to deliver outcomes. Where others bolt things on, we engineer them into our core systems and processes across cloud-based claims management, virtual vehicle appraisals, and elite loss and recovery services. Trusted by over 170+ P&C Carriers, MGAs, MGUs, TPAs, and logistics companies, our open architecture is built to fit how our companies work, not the other way around. Role Overview: Build the Systems that Build the Business The Foundational Services team specializes in the high-stakes world of User Management and Configuration. We act as the primary bridge between our core infrastructure and our most technical internal users. Instead of building for the end-claimant, you’ll be building for the Admins and Dev Leads who require sophisticated, low-latency tools to manage security, roles, and system-wide feature flags. If you enjoy working on API Gateways, SSO integrations, and complex permissioning systems, you’ll be solving the puzzles that make our entire platform possible. In this role, you will architect scalable solutions, mentor emerging talent, and collaborate across departments to solve complex problems for our global partners. We look for "full-stack thinkers" who thrive in an agile, remote-first environment and are passionate about building purposeful technology that delivers real-world results. What you’ll get: • Remote working environment - your new commute is however long it takes to walk to your desk!, • Flexibility - empathy is ingrained in who we are and we are happy to offer a flexible PTO policy, casual dress code, and more!, • Development - Mentorship programs, 1-on-1 management, promote when ready culture, quarterly internal promotion opportunities, and goal setting sessions., • BS in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related STEM field, • 5+ years of full-stack web development experience, • Designing and building APIs, • Designing schemas and performant queries for relational databases, • Understanding of scalability challenges and performance of server-side code, • Prior professional experience using React, • Prior experience using Ruby on Rails is a plus, • Eagerness to learn from and work with a collaborative team, • Commitment to quality and passion for technology and creating cutting-edge solutions, • Ability to manage tasks and to contribute towards multiple initiatives during a sprint Our tech stack:, • Frameworks: Ruby on Rails and React, • Methodology: Agile At Snapsheet, we know that growth doesn’t happen in a vacuum—it’s fueled by the right support at the right time. That’s why we’ve built a benefits experience designed to grow with you, wherever life takes you. • Choose from 2 robust medical plans through Blue Cross Blue Shield—plus, we contribute to your HSA when you enroll in our high-deductible health plan., • Offer two dental plans and one vision plan to keep you and your family healthy., • Peace of mind with company-paid Short Term Disability, Long Term Disability, and Life Insurance., • Additional protection through voluntary benefits like Accident Insurance, Hospital Indemnity, Critical Illness, and Legal Assistance., • 401(k) with a 4% company match—because your future is worth investing in., • Flexible PTO and 7.5 company-observed holidays to recharge on your terms., • In-person connection points throughout the year including our annual Summit and Roadshows., • Snapsheet SWAG and surprise mailers to keep the spirit alive., • Endless opportunity to shape your path—career growth, learning, and real impact are all within reach. For this position, the base salary range is $135,000 - $165,000. While this range serves as a guideline, your actual compensation will reflect your unique experience, skill set, and location. At Snapsheet, we believe growth should be rewarded—our compensation and benefits are built to evolve with you as your career does. We are not currently accepting applications for candidates who reside in New York or California. *Please note that we are unable to sponsor applicants for work visas for this position at this time. Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply for jobs unless they meet every single qualification. At Snapsheet, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. Snapsheet is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need assistance or accommodations, please let us know by emailing ___. Snapsheet is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. #BI-Remote #LI-Remote Snapsheet is an equal opportunity employer.

At Forge (NYSE: FRGE), we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more. With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge’s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth. Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect. Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way. The Role: We are looking to hire a Quantitative Researcher to join our Research & Data Analytics team. In this role you will contribute to generating original research and building internal research & analytics capabilities. As a valued member of the team, you will also employ our exclusive private markets data, along with macro trends and emerging themes in the space to generate unique content and insights for our clients, prospective clients, internal partners, and the public. This is an impactful role that will help build and shape Forge’s Research & Analytics functions. Location: This role is a remote / hybrid role based in Denver, CO with occasional travel to our our San Francisco, CA office to foster collaboration and teamwork. Responsibilities: • Utilize strong programming and data science skills to conduct unique research in support of our Data, Products and Marketing efforts, • Work closely with team members and across Forge to identify, measure and communicate the trends and forces moving and shaping the venture-backed / pre-IPO equity market, • Assist in the development of private market indices. Support index rebalancing and answer client queries related to index management and methodologies, • Collaborate in the research and development of new models, data products, metrics, and insights, • Maintain and enhance internal models and databases to ensure comprehensive coverage for our data universe, • Aid data-driven content development and value proposition creation, collaborating across Markets, Marketing, Comms, and other Forge teams to prepare and publish thought-provoking, relevant, and timely research reports for clients and stakeholders, • Assist with inbound and outbound ad-hoc data requests and analysis for content and communications, • Partner closely with our product, sales, and marketing functions by driving content development and value proposition creation, • Help identify new unique data points to support research and enhance our research and product offerings Qualifications: • 8-12 years of relevant work experience (e.g., research, data science, data analytics) in the public or private equities markets., • Undergraduate degree in finance, economics, statistics, mathematics, engineering or a related field., • Excellent communication and presentation skills: able to translate and communicate quantitative information effectively to non-technical audience., • Strong internal partnership skills: ability to proactively suggest content ideas and collaborate with peers to execute, as well as respond to requests/ideas from partners and shape Forge’s response, • Advanced Excel and PowerPoint knowledge & exceptional attention to detail, • Strong interest in private investing and venture-backed companies, • Highly competent programmer: Python, AI/ML & Advanced SQL highly desirable., • Must be able to sit and/or stand for long periods of time in an office or home office setting while working Preferred Qualifications: • Professional writing experience, • Index management knowledge, • Advanced quantitative or undergraduate computer science degree, • Experience with Looker For residents of Denver, CO the annual salary range for this role is $180,000 - $200,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors Forge is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Description Starting in the 2026-2027 Academic Year, Full-Time The San Francisco Friends School (SFFS), located in the heart of the Mission District in San Francisco, educates K-8 students in the tradition of Quaker learning. By example and commitment, we hope to inspire all connected with our school to work together toward a peaceful and caring society. For further information about San Francisco Friends School’s beginnings, mission, and philosophy, please visit our website at . The school seeks teachers who resonate with the Friends School mission, which provides an exemplary education in a community dedicated to problem-solving, service to others, simplicity, social justice, and quiet reflection. Our Quaker mission also compels us to create a diverse and inclusive community; we seek a person who will thrive and contribute to such a community, both within and beyond the walls of the school. Job Summary: San Francisco Friends School seeks an experienced Middle School math teacher who is compelled by the school’s mission and committed to progressive math education. Mathematics at Friends is an inquiry-based, conceptual, hands-on program where students grapple with problems and make meaning of the mathematics for themselves. We strive to build the capacity in students to think mathematically, solve problems with confidence, and love mathematics. Teachers are engaged in regular collaboration, curriculum development, and pedagogical reflection to offer the most meaningful, responsive, and student-centered program possible. Candidates should have a strong math background with experience teaching algebraic concepts and be invested in collaborating with colleagues and working closely with students. Candidates should know that San Francisco Friends School deeply values integration and collaboration. Timely communication, patience, humility, willingness to listen, and the ability to problem-solve with peers are at the core of this work. Math Department Responsibilities: • Teach Upper Middle School level math, including algebraic concepts, • Support close teamwork for curriculum development, committee involvement, and student assessment, • Help organize and lead middle school-wide, fun math-focused events, • Prepare timely and attentive parent communications, including quarterly student progress reports, • Serve as a middle school advisor, supporting a small group of students academically, socially, and emotionally throughout the school year. Facilitate three weekly advisory meetings, student-led conferences, and family communication, fostering a strong sense of belonging and a growth mindset., • Collaborate with fellow middle school teachers to plan interdisciplinary units, • Support and participate in school-wide events, service learning, and community-building activities and events., • Contribute to the life of the middle school through participation in team meetings and professional development., • Supervise students during breaks and lunch periods, • Foster a classroom culture that is welcoming, inclusive, and affirming of all students’ identities and backgrounds., • Integrate culturally responsive pedagogy and reflect on teaching practice through the lens of equity and justice. Must demonstrate: • Bachelor’s Degree or higher, in mathematics, • Four or more years of experience teaching middle school math, including algebra, • Love and appreciation for middle school students, • Openness to Quaker philosophy, • Advanced degree in mathematics or mathematics education Competitive, exempt salary based on experience and qualifications. Excellent benefits are offered, including medical, dental, vision, life insurance, and matching 403(b). $2,916.67 to $6,407.50 semi-monthly pay period for 24 pay periods per year ($70,000 to $153,780 if annualized). Placement on the step scale based on relevant teaching experience. EEO Commitment: The San Francisco Friends School is an equal opportunity employer and does not discriminate on the basis of race, national origin, religion, gender, gender identity or expression, sexual orientation, disability, age, military or veteran status, marital status or any other category protected by law. The school also makes reasonable accommodations for qualified applicants with disabilities; candidates who need accommodations in order to apply for this position should request an accommodation as part of the submission of interest. Employment Clearances required: • SB 848 Reference Check, • Livescan Background, • US Employment eligibility zATmKO1FMa

Job DescriptionCompany Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Role Overview The Swish Analytics team is seeking a Senior Data Platform Engineer to have a direct impact on the data infrastructure of our core consumer and enterprise data offerings. We’re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position. Seniority: Solid Senior level (5-8 years experience) Core Responsibilities: * Proficiency in Python: Expertise in writing scalable, efficient, and testable code using Python for data processing, automation, and building back-end components. Familiarity with popular Python libraries is a plus. * Cloud Platforms: Proficiency in cloud services such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, including knowledge of their specific data tools (e.g., Redshift, S3, Azure Data Factory, BigQuery). * 24/7 monitoring, alerting, and incident response of enterprise database architecture. * Developing KPI's, SLA’s, SLO’s and strategy to achieve and improve database stability * Backup/recovery testing and disaster recovery planning * Developing performance testing strategy, * Query performance analysis and optimization. * Implement and maintain RDS Proxy and connection management strategies * Manage database environments from production, data streams, to "Big Data" analytics. * Create and maintain policy runbooks and documentation for company use. * Database security, access control, and compliance * Working with MySQL/Postgres, Redshift, Kafka, Athena, Redis/Valkey, S3 and similar * Own schema migration tooling and process development Skills Guide: * Operational Excellence: Monitoring (CloudWatch, Performance Insights, Datadog), alerting, on-call experience * MySQL Operations: Deep knowledge of RDS operational functions, performance tuning (indexes, query optimization, explain plans) Backup/restore, point-in-time recovery, replication troubleshooting * SQL Mastery: Proficiently writing and understanding complex SQL queries, including joins, subqueries, aggregations, and window functions. * Database Design Principles: Knowledge of normalization, denormalization, and how table structure impacts query performance. * Indexing: Understanding different index types (B-tree, hash, clustered, non-clustered) and their appropriate use for optimizing search and retrieval. * Automation: Software development for operational tasks * AWS: RDS operations, Authentication, Authorization * Incident Management: Root cause analysis, postmortem creation, Run book development Nice to Have: * Performance testing tools (sysbench, HammerDB) * Execution Plan Analysis: Ability to read and interpret query execution plans to identify bottlenecks, such as full table scans, inefficient joins, or missing indexes. * Identifying Resource Bottlenecks: Pinpointing where queries are consuming excessive CPU, I/O, connections, or memory. Base salary: Starting at $180,000+ - DOE Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

Job Description General Summary The Sales Operations Intern works cross functionally between the sales organization and various internal departments to design, maintain, and continuously improve operations. The role must analyze, evaluate, and interpret complex business processes and convert these insights into strategic opportunities for our company. The role works closely with leadership across all departments to support and implement high-quality, business-driven decisions. The position ensures data accuracy and consistent reporting while designing and creating optimal processes and procedures. This position requires internet access for any period of time working remotely, not in a Penumbra office. Specific Duties and Responsibilities * Conduct sales analytics and reporting tasks, as assigned * * Collect and interpret data that drive increased sales production * * Assist in supporting our sales and operations teams by providing meaningful and actionable analytics * Organize, analyze, interpret, and prepare reports on large amounts of raw data * Assist with performance tracking dashboards in Excel, Tableau, and Salesforce.com * Proactively ensure work is accurate and error-free * Adhere to the Company’s Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures * * Understands relevant security, privacy, and compliance principles and adheres to the regulations, standards, and procedures that are applicable to the Company * * Ensure other members of the department follow the QMS, regulations, standards and procedures. * Perform other work-related duties as assigned. *Indicates an essential function of the role Required Qualifications Minimum education and experience * High school diploma and currently pursuing a bachelor's degree or higher in mathematics, economics, sales, marketing, and/or finance Preferred qualifications * Technically savvy with the ability to demonstrate a high level of competency using Microsoft Excel, Word, Power Point, Google Docs, etc. * Well organized with strong attention to detail and follow-through are required * Strong verbal, presentation, and written communication skills * Strong sense of professionalism, outgoing personality with excellent interpersonal skills * Ability to work independently and take initiative in an expeditious environment; highly motivated with an aptitude to learn quickly * Strong oral, written, and interpersonal communications skills required * High degree of accuracy and attention to detail * Proficiency with MS Word, Excel, and other standard office tools Hourly Pay Range: $21.00/hr to $33.00/hr Working Conditions•General office, laboratory, and cleanroom environments •Willingness and ability to work on site.•Requires some lifting and moving of up to 25 pounds•Must be able to move between buildings and floors. •Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day. •Must be able to read, prepare emails, and produce documents and spreadsheets. •Must be able to move within the office and access file cabinets or supplies, as needed. •Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. What We Offer•A collaborative teamwork environment where learning is constant, and performance is rewarded.•The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases.•A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra’s commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Job DescriptionCompany Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports expertise, not intuition. We are looking for team-oriented individuals with an authentic passion for accurate, predictive, real-time data who can execute in a fast-paced, creative, and continually evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building high-performance pricing and trading systems. Job Description Swish is looking for a highly analytical Sports Trading Analyst to help strengthen and scale our sports pricing and trading operation. In this role, you will work at the intersection of sports intelligence, quantitative modelling, pricing strategy, and live market behaviour. You will help manage and improve real-time pricing across a range of sports and market types, with a particular focus on market aware price discovery, risk management and the identification of actionable trading signals from market activity. This role is suited to someone with strong quantitative reasoning, excellent decision-making under pressure, and a deep interest in how markets are formed, odds move, and how to engineer accurate pricing in the competitive sports betting environment. You will work in a geographically dispersed team alongside experienced traders, quants, data scientists, and engineers, with colleagues based across Europe and the US. Duties * Monitor live sports markets and market activity in real time across a range of sports and market types * Support the calibration and refinement of prices using market signals, statistical models, competitor benchmarking, and event-driven information * Help improve pricing quality through the analysis of market behaviour, price sensitivity, liquidity patterns, and reaction speed to new information * Contribute to the development, testing, and refinement of quantitative models by applying your understanding of live market dynamics and pricing behaviour * Own and manage real-time trading risk, including exposure monitoring, liability controls, and disciplined decision-making across concurrent events * Collaborate with engineering on trading and pricing infrastructure, including API integrations, automated monitoring, alerting, anomaly detection, and execution tooling * Work closely with Sports Trading teams to interpret breaking news, lineups, injuries, team news, and other event-specific developments to ensure timely and accurate price updates * Identify model discrepancies, edge cases, and structural inefficiencies in pricing workflows, escalating and documenting findings for Data Science and Data Engineering teams * Help evaluate market opportunities, prioritise resources across sports and competitions, and improve operational processes as the trading function scales * Detect sharp or informative market activity and ensure useful signals are fed back into Swish’s proprietary models and pricing systems * Communicate effectively with internal Sports Trading teams responsible for maintaining and improving our core sportsbook pricing models Requirements * Bachelor’s degree or higher in a quantitative or analytical discipline (Mathematics, Statistics, Computer Science, Economics, Engineering, Quantitative Finance, or similar), or equivalent practical experience * Strong grounding in probability, statistics, and expected value, with the ability to reason clearly about fair price, uncertainty, and risk * Hands-on experience in sports trading, sports betting, exchange-style environments, market-making, quantitative trading, or other closely related domains where fast price formation and disciplined execution matter * Strong understanding of sports betting fundamentals, including odds formats (decimal, fractional, American), implied probability conversion, expected value, and closing line value * Demonstrated ability to make high-quality decisions under time pressure with incomplete information during live events * Comfortable working autonomously across global event schedules, including weekends and major tournament periods * Fluent in English, written and spoken, with clear communication skills in a distributed and asynchronous team environment Preferred (but not essential) * Track record of building and backtesting quantitative models using real historical data; GitHub, notebooks, or demonstrable analytical work is highly valued * Deep domain knowledge across high-turnover sporting verticals such as NBA, NFL, and Soccer * Understanding of relational database systems (MySQL or equivalent) for analysis of prices, outcomes, and trading decisions * Familiarity with market microstructure concepts such as adverse selection, inventory risk, liquidity dynamics, queue positioning, or execution quality * Experience using Python for quantitative research, exploratory data analysis, prototyping, or model improvement * Experience using modern AI tools to accelerate analysis, research, and modelling workflows Why Join This is an opportunity to play a meaningful role in a growing and well-resourced sports trading operation. The successful candidate will help shape process, tooling, and decision-making within a team focused on high-quality pricing, efficient execution, and long-term product excellence across multiple sports verticals. Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

Job Description Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Duties: * Develop high-performance and low-latency products to verify results and provide reliability for in-game play * Write Rust code, that's sophisticated, fast, and readable for complex, data science infrastructure * Design core, backend software components, and code primarily using Rust * Building internal and external tools to support Swish’s live trading platform * Source origins of data inaccuracies through data pipeline dependencies and python code base * Use extensive experience to build, test, debug, and deploy production-grade components * Proactively improve our Rust and Python codebase * Production model feature deep dives to explain project market lines Requirements: * Bachelor's Degree in Computer Science, Data Science or similar major * Minimum of 1 year of software engineering experience with Rust; 3 preferred * Minimum of 3 years of experience developing high-performance, scalable, and reliable production systems * Data Extraction, Wrangling and Analysis in Python * Strong SQL querying skills * Ability to work independently and take initiative Preferred: * Experience with Apache Kafka and comparable systems * Exposure to the data science process and tech stack * Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios Base salary: Starting at $170,000 base Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Education Expert Type: Contract Compensation: $50/hour Location: Remote Role Responsibilities • Evaluate the accuracy and depth of AI-generated content in Mathematics to strengthen reasoning and rigor in model outputs., • Review complex mathematical content for alignment with domain principles and methodologies., • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance., • Develop evaluation rubrics and benchmarks for assessing AI-generated mathematical tasks and solutions., • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets. Must-Have • 5+ years of experience in Mathematics education or related field., • Proficiency in AI model evaluation and improvement., • Upload resume, • AI interview based on your resume

Job Description Company Description Swish Analytics is a sports analytics and trading company building the next generation of predictive sports analytics and exchange-based trading products. We believe that profitable trading is a challenge rooted in engineering, mathematics, and market expertise—not intuition. We're seeking team-oriented individuals with an authentic passion for quantitative trading who can execute in a fast-paced environment without sacrificing technical excellence. As we expand our presence on betting exchanges, we're building infrastructure and strategies akin to those found in traditional financial markets. Our challenges are unique, and we hope you're comfortable in uncharted territory. Role Overview As a Senior Quantitative Researcher, you will own end-to-end research and production pipelines for one or more trading strategies. You'll lead research initiatives that generate alpha and improve execution quality, mentor junior researchers, and collaborate closely with our Trading desk to translate quantitative insights into profitable systematic strategies while maintaining rigorous risk management. Core Responsibilities * Own end-to-end research and production pipelines for a strategy * Lead alpha research initiatives leveraging advanced statistical and machine learning techniques * Process and analyze high-frequency tick data, order book snapshots, and market microstructure signals with sub-millisecond latency requirements * Analyze price formation, market liquidity dynamics, and limit order book imbalances across electronic venues * Build and run Monte Carlo simulations to estimate P&L distributions, risk exposures, and portfolio dynamics * Develop, backtest, and optimize quantitative trading strategies with rigorous statistical validation * Interpret complex model outputs and communicate alpha generation mechanisms to portfolio managers * Write modular, clean, and efficient Python code; build custom analytics libraries and research frameworks * Lead design reviews and establish data quality and research reproducibility standards * Guide 1–2 junior researchers through project delivery and model development * Proactively engage with traders and infrastructure teams to clarify research objectives and resolve data dependencies Risk Modeling * Design and maintain real-time risk monitoring systems across multi-asset portfolios * Build models for dynamic position sizing, portfolio optimization, and factor exposure management * Develop stress testing and scenario analysis frameworks for tail-risk events and regime changes * Collaborate with Trading and Risk Management to define VaR limits, leverage constraints, and implement automated risk controls Requirements * Minimum of 5 years of experience in quantitative research, systematic trading, or statistical modeling * Master's degree in a quantitative discipline (Mathematics, Statistics, Physics, Computer Science, Financial Engineering) strongly preferred; PhD a plus * Expert-level Python skills; able to build production-grade research and trading systems * Strong SQL skills; experience with complex queries on tick databases and time-series datasets * Deep experience with Monte Carlo methods, stochastic calculus, and probabilistic modeling * Proven ability to develop, backtest, and deploy systematic trading strategies with demonstrable P&L * Experience processing high-frequency tick data and real-time market feeds * Familiarity with AWS or similar cloud infrastructure for large-scale backtesting and research * Track record of mentoring junior quantitative researchers * Excellent communication skills; ability to present complex quantitative research to portfolio managers and trading desks * Experience designing enterprise-grade risk management systems with real-time Greeks calculation * Strong understanding of factor models, correlation structure, concentration risk, and portfolio attribution Nice to Have * Proficiency in Rust, C++, or other systems languages for performance-critical components * Experience with MLOps, model monitoring, and adaptive retraining pipelines for regime detection * Background in derivatives pricing, options market making, or volatility arbitrage * Familiarity with FIX protocol, Betfair or Matchbook API experience, and ultra-low-latency trading infrastructure Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks. Base salary is one hundred and fifty to two hundred and fifty thousand (plus bonus), depending on experience.

Job DescriptionCompany Description Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Role Overview You'll architect and build the core trading systems that execute our fair value models across sports betting exchanges at scale. This is a systems engineering role focused on real-time decision-making, multi-venue orchestration, and low-latency execution under production constraints. Core Responsibilities Real-Time Trading Engine Architecture * Design event-driven trading systems that consume fair value models and market data to make sub-second execution decisions * Build the core logic for comparing fair values against live market prices and determining when/where to trade * Implement asynchronous order generation, submission, and cancellation workflows across multiple venues with different latency profiles * Design state machines for order lifecycle management (pending, accepted, filled, cancelled, rejected) with proper event ordering and idempotency Multi-Venue Execution & Routing * Build venue-specific integrations (WebSocket connections to Matchbook, Kalshi; REST API adapters for Betfair; FIX protocol handlers) * Implement intelligent order routing that selects optimal venues based on liquidity, fees, latency, and position constraints * Design coordination logic for managing orders across multiple venues when a single bet spans several platforms * Handle venue-specific quirks (rate limiting, connection drops, partial fills, odds movement during submission) Position & Risk Management Systems * Build real-time position tracking systems that aggregate exposure across all venues, markets, and event types * Implement global liability management that enforces risk limits while maximizing capital utilization * Design systems that detect and respond to position drift (when actual fills deviate from intended exposure) * Create reconciliation engines that validate positions against venue reports and detect/resolve discrepancies Data & Execution Infrastructure * Design data pipelines that ingest real-time market data from multiple feeds (WebSocket streams, REST polling, custom adapters) into low-latency in-memory stores * Build efficient order book representation and query systems optimized for fast fair value lookups * Implement message ordering and deduplication logic for ensuring consistent state across async operations * Design persistent logging and event sourcing for order/trade auditing and post-incident analysis Required Qualifications Domain Experience * 3+ years building production trading/market-making systems for betting syndicates, sharp groups, or exchanges * Deep understanding of exchange vs. bookmaker dynamics and practical experience executing against both * Hands-on experience integrating with real-time sports betting data feeds and exchange APIs Technical Fundamentals * 3+ years of production Python with expert-level async/await, event loop, and concurrent execution skills * Strong system design for distributed, real-time, event-driven systems * Deep understanding of database transactions, consistency models, and state management under high throughput * Experience with message streaming platforms (Kafka or equivalent) for order/execution event handling * Proficiency with containerization (Docker), orchestration (Kubernetes), and cloud infrastructure (AWS, GCP) Core Competencies * Ability to architect systems that make correct decisions under tight latency constraints * Strong debugging skills for timing issues, race conditions, and event ordering problems * Systematic problem-solving for production incidents in trading systems * Pragmatic engineering decisions (when to accept latency vs. consistency tradeoffs) Strongly Preferred * Experience building order management systems (OMS) or execution management systems (EMS) * Background in low-latency or high-frequency trading system design * Hands-on work with WebSocket real-time connections and connection resilience patterns * Experience with FIX protocol or similar financial messaging standards * Knowledge of multi-leg execution and cross-product coordination challenges * Familiarity with market microstructure (order book dynamics, market impact, slippage models) * Experience designing systems that respond to real-time market feedback (volatile prices, volume spikes) Nice to Have * Contributions to trading infrastructure or market-making open-source projects * Experience with Protobuf for efficient data serialization in latency-sensitive systems * Exposure to blockchain/DeFi trading systems and AMM-style execution * Knowledge of database CDC (Debezium) or event streaming architectures for audit/replay * Background building resilience patterns (circuit breakers, backpressure, graceful degradation) in trading systems * Experience working with Rust or C++ Base salary: starting at $170,000 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

Job Description Our School The International School of San Francisco is a bilingual, multicultural learning community where students learn to navigate the complexities of the world with confidence, empathy, and joy. Our vibrant urban campus is situated in the heart of the city and serves nearly 1,100 students beginning at age 2 and continuing through grade 12. Mission Guided by the principles of academic rigor and diversity, The International School of San Francisco offers programs of study in French and English to prepare its graduates for a world in which the ability to think critically and to communicate across cultures is of paramount importance. Opportunity Working at The International School of San Francisco opens up a myriad of opportunities both personal and professional. When minds and cultures from around the world come together, boundless curiosity takes hold; faculty and staff benefit from that deep intellectual engagement and joyful discovery as we live out our values of respect, integrity, inclusion, collaboration, and curiosity. Each employee is both teacher and learner in our vibrant, multicultural, multilingual school community. If this appeals to you, here is what we offer: • A chance to work in a truly multicultural, multilingual environment, • Transformative professional development opportunities, including International Baccalaureate, bilingualism and international education, • Access to cutting edge teaching and learning experiences, • Ability to participate in international travel through our Global Travel Program, • A chance to work in a truly multicultural, multilingual environment, • A supportive school community and the world’s best colleagues Position Overview We are seeking an experienced Upper School Mathematics teacher who is passionate, engaging and motivated to teach our eager learners. Candidates should be compelling educational practitioners who have a strong mathematics background and are confident in their capacity to create and deliver a dynamic and engaging curriculum and find joy working with young adolescents. Focus and Responsibilities • Prepare engaging and differentiated lesson plans according to our upper school curriculum, as a part of our International Baccalaureate program, • Develop, enhance and document curriculum, while ensuring continued coordination and collaboration with colleagues from the math department, • Regularly assess the students’ progress, • Participate fully in the professional community and contribute to school life, • Serve as an Advisor, • As needed, participate in school’s outdoor education and global travel trips and engage in ongoing professional development Qualifications • Minimum of 2 years teaching experience, preferably with Middle or High School students, • Bachelor’s degree or equivalent in relevant field, Master’s degree preferred, • Excellent communication skills with both students and parents, • Medical, Dental, Vision, • 403B - 5% match after 2 years of service, • Commuter Benefits, • Long Term Disability, • 2 Personal days, • 10 Sick days EQUAL EMPLOYMENT OPPORTUNITY POLICY The International School of San Francisco is committed to providing an open, fair, inclusive, non-discriminatory environment for all individuals across differences of race, religion, sexual orientation, gender identity, national origin, socio-economic status, ethnicity, age, physical ability, or medical condition. We seek to increase the presence, representation, and inclusion of U.S. historically under-represented people of color, international, bilingual, and bicultural students, faculty, and staff; and, to provide an environment that will attract and retain individuals identified as lesbian, gay, bisexual, transgender, queer, questioning and intersex (LGBTQQI). Powered by JazzHR 9nUvByVbTu

Job Description August 2026-January 2027 The San Francisco Friends School (SFFS), located in the heart of the Mission District in San Francisco, educates K-8 students in the tradition of Quaker learning. By example and commitment, we hope to inspire all connected with our school to work together toward a peaceful and caring society. For further information about San Francisco Friends School’s beginnings, mission, and philosophy, please visit our website at . The school seeks teachers who resonate with the Friends School mission, which provides an exemplary education in a community dedicated to problem-solving, service to others, simplicity, social justice, and quiet reflection. Our Quaker mission also compels us to create a diverse and inclusive community; we seek a person who will thrive and contribute to such a community, both within and beyond the walls of the school. Job Summary: Ideal candidates will demonstrate knowledge of and experience in hands-on and integrated learning, as well as child development and literacy skills; be highly motivated,, collaborative, enthusiastic about working with second graders, flexible; demonstrate a desire to learn; and show initiative. Essential functions of the role • Build a joyful and nurturing classroom community that sparks intellectual curiosity and growth for all students, and demonstrates clear and affirming classroom management, • Collaborate with grade level team to plan and teach an integrated, mission-aligned, early elementary program, including literacy, writing, math, science, social studies, and social emotional learning, • Collaborate with Student Learning Services and Counseling & Wellness teams as well as outside support providers, as necessary, to promote student success and wellness, • Administer and analyze assessments to differentiate for a range of learners, • Mentor an associate teacher by providing opportunities for learning by doing and constructive, growth-oriented feedback, • Maintain consistent communication with parents/guardians through formal reporting (progress reports and conferences) as well as more informal check-ins, • Co-write a bi-weekly newsletter about grade-level curriculum and activities; share students’ work with the Director of Communications to post on social media, • Support school-wide events, including evening and weekend events, such as Back to School Night, math mornings, and admissions events, Must Demonstrate: • At least two years of experience teaching at the elementary level, • Bachelor’s Degree in a related field, • Experience with differentiating instruction and creating a classroom environment that supports a range of learners, • Passion for working and developing positive relationships with a diverse group of early elementary students, • Openness to and interest in Quaker philosophy, • Collaborative and creative team player, • Demonstrated knowledge of current research around teaching and learning, and a desire for continued professional growth, • Experience with communicating and fostering positive and proactive partnerships with a diverse group of families, • Multiple Subject Teaching Credential and/or an advanced degree in Education, • Training in Responsive Classroom, Fundations, Bridges in Mathematics, Reader’s Workshop, and Writer’s Workshop Regularly required to sit, stand, walk, talk, hear, operate a computer, hand-held learning devices and other office equipment, reach with hands and arms, and must occasionally lift and/or move up to 10 pounds. Compensation and Benefit Summary: Competitive, exempt salary based on experience and qualifications. $2,916.67 to $6,407.50 semi-monthly pay period ($70,000 to $153,780 if annualized). Placement on the step scale based on relevant teaching experience. EEO Commitment: The San Francisco Friends School is an equal opportunity employer and does not discriminate on the basis of race, national origin, religion, gender, gender identity or expression, sexual orientation, disability, age, military or veteran status, marital status or any other category protected by law. The school also makes reasonable accommodations for qualified applicants with disabilities; candidates who need accommodations in order to apply for this position should request an accommodation as part of the submission of interest. Employment Clearances required: • SB 848 Reference Checks, • Livescan Background, • US Employment eligibility IqtPt2IgZt

Job DescriptionBlue Matter is a rapidly growing management consultancy focused in the biopharmaceutical industry. We partner with our clients to help them achieve commercial success across the lifecycle of their products, portfolios, and organizations. Our project types include providing decision support through insights and analytics for new product planning, launch strategy, portfolio / disease area strategy, and organizational strategy / change management. Most of our work is in specialty therapeutics, with oncology and rare diseases a specific area of expertise. Blue Matter Insights (BMI) is our specialized insights CoE, uniquely combining sophisticated quantitative analytics with strategic pharmaceutical consulting. BMI consultants work side-by-side with strategy team members on high-stakes client engagements. Our lean, entrepreneurial structure accelerates your growth: high performers quickly progress from executing analyses to leading workstreams to managing client relationships. You'll gain exposure to diverse therapeutic areas and challenging problems (launch forecasting, portfolio optimization, omnichannel strategy) while building expertise across proprietary technology platforms and advanced analytical methods. Working directly with senior leaders invested in your development, you'll tackle challenging problems and help build new capabilities that become part of BMI's competitive edge. We have a unique entrepreneurial culture and invest in building Blue Matter as the best place to work for our team. We have offices in NY, San Francisco, Boston, London, Zurich, Mumbai & Gurgaon. As an Associate / Associate Consultant in the Analytics practice, you will be an integral part of project teams delivering data-driven solutions to pharmaceutical and life sciences clients. You will build foundational analytical skills while contributing to work that drives real commercial impact—supported by a team that wins together and a culture that rewards curiosity. Primary Responsibilities Analytics Execution & Data Management • Execute analyses leveraging secondary data sources, commercial datasets, and primary research outputs to support strategic client questions, • Build and maintain analytical models including segmentation, forecasting, regression, and market sizing under the guidance of senior team members, • Structure, clean, and synthesize complex datasets from sources such as IQVIA, claims/EMR data, and proprietary survey data to uncover actionable patterns, • Develop dashboards, visualizations, and analytical tools (e.g., Tableau, Power BI) that enable teams to interpret and act on findings, • Ensure data integrity and analytical rigor through systematic quality control processesCommunication & Collaboration, • Translate analytical findings into clear, concise summaries for internal project teams, contributing to deliverable development, • Support the creation of client-ready presentations, reports, and executive summaries under senior guidance, • Collaborate across multidisciplinary teams spanning market research, strategy consulting, and technology—always solving for the “so what” behind the data, • Participate in internal project meetings and contribute analytical perspectives to team discussionsProblem-Solving & Professional Growth, • Apply structured problem-solving approaches to break down analytical tasks within broader project plans, • Proactively seek to understand the business context behind each analysis—building commercial intuition alongside technical skills, • Identify opportunities to improve analytical processes, tools, and methodologies and share learnings with the team, • Growth Opportunity: As you develop, you will take on increasing client interaction, present findings directly to stakeholders, and begin mentoring newer team members.Desired Experience & Skills Technical & Analytical • Proficiency with Python, R, SQL, SAS, or similar statistical software, • Advanced Excel skills including complex modeling, data manipulation, and automation (VBA a plus), • Experience with data visualization platforms (Tableau, Power BI, or similar), • Strong quantitative reasoning and ability to select appropriate statistical methodologies, • Exposure to pharmaceutical commercial data (e.g., prescription data, claims data, market research datasets) preferredCommunication & Work Management, • Strong written and verbal communication skills with ability to explain analytical work clearly to non-technical audiences, • Solid PowerPoint skills for contributing to executive-quality presentations, • Demonstrated accountability, attention to detail, and strong time management, • Intellectual curiosity and drive for continuous learningBusiness & Domain Awareness (Nice to have), • Foundational understanding of pharmaceutical commercial operations (sales force effectiveness, market access, launch planning), • Familiarity with therapeutic area dynamics, competitive landscapes, and the broader healthcare ecosystem, • Eagerness to build domain knowledge and translate business questions into analytical frameworksQualifications, • BS degree in life sciences, statistics, mathematics, engineering, economics, or related quantitative field (MS/PhD preferred), • 1–4 years of experience in quantitative analytics, preferably within life sciences consulting, pharmaceutical industry, or healthcare analytics (Associate: 0-1 years, Associate Consultant: 2-4 years + BS degree, or 2 years + MS degree)Compensation & Benefits Base salary range: $70,000 – $130,000 per year. Generous incentive compensation structure. Benefits: • 401k Plan - generous employer match with immediate vesting and financial planning resources, • Comprehensive medical, dental and vision coverage options effective day 1 of employment, • Flexible spending account (FSA) or Health Savings Account (HSA), • Company paid insurances including Short- and Long-Term Disability and Life insurance as well as additional voluntary options, • Paid parental leave for all new parents, • Health & Wellness Benefit (e.g., gym memberships; $1000 reimbursement annually), • Employee Assistance Program 5jX75t3YOY

Job DescriptionAbout Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About you and the role Does the prospect of a society-altering challenge—owning the material availability and planning backbone to support rapid scaling of a first-of-its-kind autonomous robotic aircraft system—sound like the type of work that gets you out of bed in the morning? Can you cut through complex, competing signals from engineering changes, production ramps, supplier constraints, and demand variability to drive precise, actionable plans that keep manufacturing moving forward? Are you energized by the authority and responsibility of leading material strategy for an entire aircraft platform or major subsystem in a high-visibility, mission-critical role? If this excites you, you're who we're looking for! This is an in-person role based out of our HQ in South San Francisco requiring 30-50% travel to manage critical suppliers, partners, and operations in Asia, North America, and other key regions. What you'll do In this highly visible leadership role, you will own the comprehensive material planning and data integrity for either a full aircraft platform or a major subsystem, ensuring seamless alignment between design intent, production needs, supplier commitments, and operational execution. You will serve as the central authority for material-related data and processes, working closely with Engineering, Strategic Sourcing, Supplier Industrialization, New Product Introduction (NPI), Manufacturing Operations, and Integrated Planning teams to scale Zipline's manufacturing footprint reliably and at speed. • Own and maintain the end-to-end material availability strategy, including accurate translation of production schedules and forecasts into supplier requirements, inventory positioning, and risk mitigation plans., • Lead ownership and governance of critical master data (BOMs, item attributes, lead times, planning parameters, and engineering change impacts) to ensure MRP and planning systems reflect the current design and production reality., • Develop, communicate, and manage forward-looking forecasts and commitments to suppliers, aligning them with Zipline's aggressive ramp plans, design evolution, and program milestones., • Drive the engineering change integration process for materials—assessing supply planning impacts, updating planning data, and minimizing disruptions to supply continuity and production flow., • Plan, organize, direct, and execute material readiness activities across Design Engineering, Manufacturing, NPI, and Supply Chain teams to support prototype-to-volume transitions and ongoing rate increases., • Monitor and resolve material constraints through rigorous exception management, expediting, market share reallocation, and cross-functional escalation, while maintaining tight control over inventory health., • Perform deep data analysis to identify trends, variances, and risks in demand, supply, and inventory; use insights to refine planning logic, reduce shortages/excess, and improve forecast accuracy over time., • Collaborate with Strategic Sourcing and Supplier Industrialization to align supplier capabilities, capacities, and performance with Zipline's evolving needs; define and track inventory and planning metrics for the business., • You have 1-10+ years of experience in a fast-paced, high-growth manufacturing, supply chain or data analytics environment in roles such as Material Planning Manager, Supply Planning Lead, Technical Program Manager, or data analytics/data science positions., • You have successfully owned material planning and data integrity for complex, scaling products—ideally high-reliability systems like aircraft, robotics, or automotive platforms—through prototype, NPI, and volume production phases., • You are highly proficient with MRP/ERP systems (e.g., SAP, Oracle, NetSuite) and have deep experience managing and governing master data, BOMs, routings, and planning parameters in dynamic engineering environments., • You have a proven track record of leading change integration processes, translating engineering updates into supply chain actions with minimal disruption., • You excel at turning large datasets into actionable insights—using analytics to improve forecast accuracy, reduce inventory risks, and resolve material constraints under tight timelines., • You have strong program management skills, with experience driving cross-functional initiatives, managing dependencies, and delivering against aggressive schedules in unstructured, high-stakes settings., • You have worked within established supply chain and demand planning frameworks, applying metrics and processes to elevate forecast performance and material availability., • Advanced degree in Supply Chain, Operations, Engineering, Data Analytics, Mathematics or related field, with experience scaling high-tech, aerospace, automotive or robotics manufacturing., • Demonstrated first-principles problem-solving with tools like root cause analysis, scenario planning, statistical forecasting, or advanced analytics to deliver measurable improvements., • Experience in regulated or high-reliability industries with gated development processes and material/program readiness milestones. This role will require travel 0-15% of the time to critical suppliers, manufacturing partners, and regional operations. The starting cash range for this role is $118,000 - $259,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Job DescriptionCompany Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description Position Overview: The Principal Machine Learning Scientist II will advance deep learning methods for biologics discovery at AbbVie. This individual contributor role focuses on advancing sequence- and structure-based deep learning models for protein and antibody design with emphasis on adapting them to the constraints of designing therapeutic antibodies. The work centers on building models that improve early decision-making in molecule prioritization and guide molecule optimization, while balancing multiple properties, in order to reduce drug discovery timelines and increase the probability of success in patients. A major focus of the role is extending protein modeling to support the complexities of biotherapeutics, including complex multispecific formats, sequence diversity, conformational flexibility, and induced-fit behavior, which present important modeling challenges and opportunities for innovation. The role requires close collaboration with antibody engineers, computational physicists, and biologists to translate domain concepts into modeling decisions that will drive therapeutic impact. Responsibilities: • Advance sequence- and structure-conditioned generative modeling for biologics using protein language models, diffusion-based generative models, and graph- and geometry-based deep learning methods., • Develop modeling strategies that improve therapeutic relevance, support multi-objective optimization, and surface liabilities earlier in the discovery process., • Develop predictive modeling approaches for multispecific biologics that optimize chain-complexation states, linker architecture, and higher-order molecular geometry to identify designs with favorable efficacy and developability., • Adapt protein models to CDR H3 loop behavior, including high diversity, conformational flexibility, and induced-fit effects., • Build rigorous internal benchmarking frameworks, establish evaluation standards for external AI/ML platforms, and lead technical due diligence on partner capabilities., • Use interpretability methods to uncover missing biological concepts, guide targeted model improvements., • Partner with deployment engineers to deliver scalable, stable production models and model monitoring workflows. Qualifications, • MS with 14+ years’ or PhD with 8+ years’ in machine learning, computer science, applied mathematics, data science, computational biology, or a closely related field,, • 2+ years of experience building models with biological data., • Deep expertise in modern deep learning methods, including transformers, graph neural networks, protein language models, diffusion models, or related architectures., • Experience applying ML to sequence-based and structure-based biological problems., • Strong track record of adapting models to complex, real-world scientific constraints., • Ability to reason about open-ended technical problems and define a path forward in ambiguous settings., • Strong python programming skills and familiarity with modern ML tools and frameworks, including distributed training workflows., • Ability to collaborate effectively with experimental and computational scientists., • Hybrid role based in Worcester, MA, South San Francisco, CA or Cambridge, MA., • On-site presence required 3 days per week. Relocation is available., • This is an individual contributor role. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future., • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job DescriptionCompany Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description Position overview: Biotherapeutics and Genetic Medicine (BGM) sits within AbbVie’s Discovery Research organization and supports discovery and optimization across biotherapeutic and genetic medicine modalities, including monoclonal antibodies, multispecifics, proteins, conjugates, AAV, LNPs, and siRNA. The Principal Data Architect will shape the cloud-native data foundation that enables predictive and generative AI/ML solutions in discovery scientist workflows. This role owns the architecture, adoption, and continuous improvement of a scalable data platform that connects laboratory data across dozens of assays, supports machine learning development and deployment, and improves how scientific data is used across the organization. The position reports to the Head of AI/ML in BGM and serves as a trusted advisor to senior leadership. This is a technical leadership role on the individual contributor track, with potential to expand into people management in the future. It requires close partnership with wet lab scientists, ML engineers, software engineers, data engineers, automation teams, and data governance partners. The role is central to building a robust, resilient, and scalable data foundation for BGM’s AI/ML strategy. Responsibilities: • Define and drive the architecture for a scalable, cloud-native data platform that supports AbbVie’s AI/ML strategy in BGM., • Design data models and integration patterns that connect datasets generated across multiple lab groups and establish certified datasets for downstream scientific, operational, and machine learning use., • Partner with wet lab scientists and automation engineers to maximize the value of data captured through lab automation workflows., • Work with data scientists and deployment engineers to ensure data pipelines support both model development and production deployment., • Advance FAIR data practices and data stewardship in alignment with BGM strategic priorities., • Champion connected data, data-as-a-product, and cloud-first architecture principles across the organization., • Partner with data infrastructure and governance experts to ensure data policies are implemented effectively., • Align BGM data infrastructure initiatives with broader AbbVie efforts such as Convergence and ARCH., • Communicate platform impact through user stories, metrics, and KPIs that show the value of the data platform to AbbVie’s therapeutic program pipeline. Qualifications, • MS with 14+ years’ or PhD with 8+ years’ experience in machine learning, computer science, applied mathematics, data science, computational biology, or a closely related field., • 6+ years of experience in data architecture after completion of graduate studies, with a track record of designing enterprise data platforms, • Graduate degree in computer science, data science, computational biology, computational chemistry, computational biophysics, or a related field., • Experience designing enterprise data platforms., • Strong technical skills in data modeling, data integration, data storage solutions, data pipelines, and AI/ML integration., • Production programming experience in SQL, Python, or Java., • Experience building cloud data infrastructure on AWS, Azure, or GCP., • Ability to work across wet lab and dry lab scientific workflows., • Experience collaborating across functions and building stakeholder alignment., • Strong communication and interpersonal skills., • Ability to apply data governance principles in day-to-day decision-making., • Experience leading cross-functional technical teams across reporting lines and multiplying their impact through best practices., • Hybrid role based in Worcester, MA, South San Francisco, CA or Cambridge, MA., • On-site presence required 3 days per week. Relocation is available., • This is an individual contributor role. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future., • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job DescriptionCompany Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Director of Discovery AI Partnerships will play a critical leadership role in shaping and executing AbbVie’s external AI innovation strategy in Discovery. This role sits at the intersection of AI technology, drug discovery, and strategic partnerships, and is responsible for leading complex AI‑centric external collaborations from sourcing through diligence and deal execution. Reporting to the Head of Discovery AI Partnerships, the Director will operate with a high degree of autonomy and serve as a strategic thought partner to senior stakeholders. This role is ideal for a mission-driven leader who is passionate about science, understands the real-world impact AI solutions can deliver, brings a practical, down-to-earth approach, and is motivated by the potential for AI-enabled innovation to create meaningful benefits for patients. Key Responsibilities: • Deal sourcing: Closely monitor, interpret, and predict the evolving landscape and trends in AI and pharmaceuticals innovation, as they relate to all key therapeutic areas of AbbVie. Proactively search for, identify, and evaluate potential partnering opportunities from biopharma companies, AI companies, academic institutions, other non-profit research institutes, and life science venture capital investors globally (US, Europe, China, others), • Diligence: Lead end-to-end scientific, technical, and strategic diligence for a wide range of AI-focused partnerships (e.g., with AI-driven drug discovery companies, Big Tech, research labs focused on foundational LLMs, data companies, academia), including hands-on technology assessments, market analysis, and risk evaluations, • Pilots, benchmarks, and technical evaluations: Design, negotiate, conduct, and analyze the results of pilots, benchmarks, and technical evaluations of AI models applied to drug discovery as part of the core diligence process to inform our investment decision. Technical depth to structure and conduct these pilots is critical part of this role., • Deal flow management: Collaborate with key stakeholders and cross-functional teams to drive and ensure effective communication, efficient decision-making, and completion of AI/ML-related partnerships / deals in a timely manner., • Apply strong scientific judgment and product‑oriented thinking to assess differentiation, scalability, integration potential, and long‑term value of AI platforms., • Synthesize complex technical and scientific findings into clear, decision‑enabling recommendations for senior leadership and governance forums., • Stay at the forefront of emerging AI trends and advancements in biopharma to inform strategic decision-making., • Develop and maintain a strong network of AI experts, thought leaders, and innovators to ensure AbbVie remains at the forefront of AI developments., • Proactively participate and represent AbbVie in industry forums, conferences, and consortia to strengthen external engagement and visibility in AI innovation. Qualifications, • Degree in Computer Science, Machine Learning, AI, Statistics, Mathematics, Computational Biology, Computational Chemistry, Bioinformatics, Physics, Engineering, or related quantitative discipline., • Bachelor’s: 12+ years of relevant experience, including in AI/ML applications in life sciences or healthcare OR, • Master’s: 10+ years of relevant experience, including in AI/ML applications in life sciences or healthcare OR, • PhD: 7+ years of relevant experience, including AI/ML applications in life sciences or health., • Highly motivated with strong organizational and communication skills, excellent work ethic, and the ability to work independently as well as collaboratively in a team environment., • Experience leading AI-focused partnerships, external collaborations, or technology diligence within biopharma, biotech, healthcare, technology, or investment organizations; or strong product management or platform leadership experience within AI-native or technology companies., • Strong strategic judgment, technical fluency, and ability to influence without authority., • Management consulting experience at a Top-Tier consulting firm a plus., • Experience applying AI in therapeutics discovery, including agentic AI approaches, strongly preferred. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of thisposting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless anduntil paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job DescriptionRETHINK MANUFACTURING The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next. Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you.ABOUT THE ROLE Software Engineers at Bright Machines are responsible for defining and implementing the systems that make Software Defined Manufacturing possible. Our platform is deployed across factory sites around the world, supporting manufacturing operations for some of the biggest names in the industry. As an Software Engineer, you will take meaningful ownership of features and small projects across our factory software stack — including Shopkeeper (our version for a better MES), the Assembly Dashboard for Observability, Metrics and Reporting, and the infrastructure connecting the factory floor to the cloud. You will independently design and implement solutions to moderately complex problems, collaborate with cross-functional partners, actively contribute to the technical direction of the team, and mentor junior engineers. You may also lead small cross-functional projects or initiatives. If you are ready to take ownership and contribute to a platform that changes manufacturing, this is your opportunity to Be Bright. WHAT YOU WILL BE DOING * Write clean, efficient, and maintainable code across our backend and infrastructure stack * Take full ownership of small-to-medium projects or features end-to-end from design through deployment * Independently design and implement solutions to moderately complex engineering problems * Accurately estimate and prioritize tasks within sprint and quarterly planning cycles * Conduct code reviews and provide constructive, actionable feedback to peers * Proactively identify and resolve technical challenges before they become blockers * Mentor junior engineers through pairing, reviews, and technical guidance * Clearly communicate technical decisions and trade-offs to both technical and non-technical audiences * Collaborate effectively with cross-functional teams including product managers, hardware engineers, and operations * Actively participate in technical discussions, architecture reviews, and team decision-making * Contribute to improving team processes, development workflows, and engineering standards * May lead small cross-functional projects or initiatives as technical lead WHAT YOU WILL BRING * 3-5 years of professional software engineering experience * Bachelor degree (or equivalent) in Computer Science, Engineering, Mathematics, or a related field * Proficiency in at least two frameworks, languages, or technologies in our stack (Python, FastAPI, TypeScript, React, Vue, PostgreSQL, Kubernetes) * Demonstrated ability to independently design and ship features in a production environment * Experience conducting code reviews and contributing to engineering standards * Strong written and verbal communication skills * Track record of working effectively both independently and as part of a cross-functional team * Experience collaborating with cross-functional stakeholders (product, ops, or hardware teams) IT WILL BE GREAT IF WE HAD * Experience with manufacturing execution systems (MES), factory automation, or industrial software * Familiarity with Kubernetes, Kustomize, or GitLab CI/CD pipelines * Experience with event-driven architectures, WebSockets, or real-time systems * Background in AWS services (S3, IoT Core, SSM, EKS, CodePipeline) * Demonstrated experience mentoring junior engineers or leading small technical initiatives * Contributions to technical decision-making within or across teams BE EMPOWERED TO CHANGE AN INDUSTRY Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market. Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes’ AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier – this isn’t it. The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in the sleep fitness and personal health space. You’ll work closely with a cross-functional team to scope problems, build end-to-end prototypes, validate with data, and iterate toward something we can ship. Along the way, you’ll receive hands-on mentorship, sharpen your technical toolkit, and present your results to leadership. Where appropriate, you may also develop your work into a publication. We’re seeking interns who care about outcomes, think in systems, and make data-driven decisions. If you’re excited to learn fast, collaborate deeply, and deliver meaningful improvements for users, we’d love to work with you. What You'll Help Build Example topics include: * Multimodal Activity Understanding: Build and fine-tune a vision- and physiology- foundation model that detects daily activities (workouts, meals, naps) from wearables, Pod signals, and phone context to explain sleep trends. * Next-Gen Time-Series Forecasting for Sleep: Push state of the art on multivariate forecasting to predict sleep stages, heart rate, HRV, and recovery days ahead - robust to missing data and lifestyle shifts. * Lifestyle-to-Sleep Simulation (“Digital Twin”): Create a high-fidelity simulator that models how choices (caffeine, exercise timing, alcohol, travel) ripple into tonight’s sleep and tomorrow’s readiness. * Adaptive Pod Thermoregulation: Learn personalized cooling/heating policies that react to micro-events (restlessness, awakenings) in real time - balancing comfort, sleep continuity, and energy. * Privacy-Preserving Personalization: Train better models without centralizing raw data: federated fine-tuning with differential privacy for sleep staging, anomaly detection, and forecasting. What You'll Need to Succeed * Minimum Qualifications * Working toward an undergraduate, graduate or doctoral degree in computer science, engineering, data science, applied mathematics, or equivalent. Doctoral degree paths are preferred for research focused internships. * Preferred Qualifications * It’s helpful if you meet one or more of the following qualifications, but it isn’t a requirement * Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or Java * Experience with ML libraries, such as TensorFlow, PyTorch, CoreFlow, and Sklearn * Practical knowledge related to building and adapting algorithms for machine learning, time series analysis, multimodal sensing, foundation model fine-tuning, reinforcement learning and related areas * Familiarity with crafting, prototyping, and evaluating interactive systems * Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others * Problem solving skills * Applied ML Engineering internships: Experience with integrating research prototypes into production applications. Proficiency conducting ethnographic or other situated studies of human interaction with or through interactive technologies. Experience crafting, conducting, analyzing, and interpreting experiments and investigations * Demonstrated expertise with proven publication or track record in at least one of the areas: machine learning, statistics, econometrics, operations research, quantitative marketing, causal inference, time series analysis, stochastic modeling, optimization and decision theory * Research-Focused internships: Currently pursuing a doctoral degree. Research experience in Machine Learning and a demonstrable record of publishing academic research in peer-reviewed venues Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with: * Full access to health, vision, and dental insurance for you and your dependents * Supplemental life insurance * Flexible PTO * Commuter benefits to ease your daily commute * Paid parental leave At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Job DescriptionHeadquartered in San Diego, Mulligan Funding serves as a leading provider of working capital (Up to $5M) to the small and medium-sized businesses that fuel our country. Since 2008, we have prided ourselves on our collaborative, innovative, and customer-focused approach. Enjoying a period of unprecedented growth, driven by the combination of cutting-edge technology, human touch, and unwavering integrity, we are looking to add to our people first culture, with highly motivated and results-oriented professionals, to push the limits of what’s possible while creating value for all of our partners. As our Staff Applied AI Scientist focused on Decision Systems, you will design the logic behind how AI makes decisions inside real production workflows. This is not a research role and it is not a pure engineering role. You will sit at the intersection of business strategy, risk, and applied AI to ensure our decision systems are intelligent, calibrated, and economically aligned. Engineers will deploy the systems. You will define the decision intelligence that powers them. If you are excited about turning business judgment into structured, production ready AI logic that directly impacts profitability, this role is for you.What You Will Work On • Designing and formalizing structured AI reasoning frameworks that translate credit policy, risk strategy, and operational heuristics into production ready decision logic., • Defining multi layer decision hierarchies across underwriting, collections, fraud detection, pricing optimization, and sales routing workflows, including conflict resolution logic when signals disagree., • Establishing structured output standards for agent based systems so AI recommendations are interpretable, consistent, and actionable., • Designing confidence scoring methodologies for AI assisted decisions and calibrating routing thresholds across auto approve, escalation, human review, and decline paths., • Optimizing trade offs across risk exposure, approval rates, speed to decision, unit economics, and operational capacity., • Analyzing override behavior and feedback loops to refine decision logic and improve system performance over time., • Building evaluation datasets to test reasoning quality prior to deployment and defining clear production acceptance criteria., • Benchmarking performance across decision domains and establishing monitoring standards to detect drift, degradation, bias, or inconsistency in AI outputs., • Partnering with Engineering and MLOps to ensure monitoring, reporting, and feedback mechanisms are embedded in production systems., • Supporting governance, audit, and compliance documentation to ensure decisions are explainable and defensible in a regulated environment., • Assessing potential bias and unintended impact across workflows and partnering with Risk, Compliance, and Legal on responsible deployment., • Quantifying business impact across loss rates, recovery performance, operational cost per file, funnel conversion, and cycle time, and aligning decision systems with portfolio economics and strategic objectives.What This Role Is Not, • Ownership of API development, integration pipelines, or infrastructure., • Primary responsibility for MLOps tooling or production orchestration code., • An academic or purely research focused AI position., • A general program management or governance only role disconnected from production impact.What You Bring, • Eight or more years of experience in applied data science, including at least three years working on AI enabled product systems. Experience in AI product systems is required., • Demonstrated experience designing, calibrating, and validating production decision systems., • Experience translating domain expertise into structured logic frameworks that can be deployed in operational environments., • Strong foundation in statistics, probability, and decision theory., • Experience evaluating and tuning model outputs, including large language model reasoning outputs., • Experience working in regulated or risk sensitive environments preferred. Background in fintech, lending, financial services, or other high consequence decision environments strongly preferred., • Master’s degree in Statistics, Applied Mathematics, Data Science, Economics, Computer Science, Engineering, or related quantitative discipline required. PhD preferred.Why Join The Team, • This role offers the opportunity to shape how AI makes decisions across an entire lending platform., • The work directly influences portfolio performance, unit economics, and operational strategy., • You will operate in a company that is intentionally building AI into its core workflows, not experimenting at the margins., • The systems you design will be durable, measurable, explainable, and central to the company’s long term competitive advantage.We Offer, • Comprehensive medical, dental, and vision coverage with multiple plan options to support you and your family., • A 401k retirement plan with company matching contributions to help you build long term financial security., • Generous paid time off and paid holidays to support balance and flexibility., • Company paid life insurance and disability coverage for additional protection and peace of mind., • Flexible Spending Account and Health Savings Account options to maximize tax advantages., • A Lifestyle Spending Account to support wellness and fitness related expenses., • A professional development stipend to encourage continued learning and growth., • An employee referral program that rewards you for helping us build a strong team.

Job Description We are seeking an experienced Python Developer to join our team supporting the front office. The ideal candidate will have at least 5 years of experience designing, developing, and deploying Python-based solutions in a financial services or investment management environment. This role supports a broad set of stakeholders including equity & fixed income research, trading, and quantitative teams, requiring the ability to work across varying levels of technical maturity. This role also requires participation in the firm’s growing AI initiatives, including governance and integration of AI processes. The individual will collaborate closely with front office teams and Investment Technology leadership to deliver scalable, well-governed Python solutions that support investment decision-making. Key Responsibilities: • Design, develop, and maintain Python-based tools and pipelines to support front office investment teams., • Develop, maintain, and govern shared data patterns across multiple databases, environments, and other enterprise sources., • Support the firm’s cloud migration, including integration of Snowflake and support of Python UDFs., • Build and support interactive tools using Plotly and Dash for business users., • Establish and maintain internal Python package structures, dependency management standards, and environment reproducibility practices., • Implement data quality validation and testing frameworks for data pipelines., • Support AI enablement initiatives including LLM integration, governance frameworks, and review of AI-generated code for production readiness. Key Priorities/Deliverables: • Implement an internal Python package architecture that enables shared utilities across teams., • Establish environment reproducibility and dependency management standards across development and production environments., • Define and document Snowflake-Python integration patterns, including reference implementations for data extraction, analytics, and model scoring, • Establish initial AI governance guardrails including approved model access, data classification for API usage, and review processes for AI-assisted development., • Provide mentoring, code review, and documentation to support Python adoption across teams. Basic Qualifications: • 5 years of hands-on experience developing in Python, • 5 years of demonstrated production deployment & environment management experience., • 5 years of experience integrating Python with enterprise data sources, including Snowflake, SQL Server, and REST APIs., • 5 years of experience building interactive dashboards and visualizations with Plotly and Dash., • Bachelor’s degree in Computer Science, Engineering, Mathematics, Finance, or a related field. Preferred Qualifications: • Experience designing scalable internal Python architectures in organizations with multiple teams., • Hands-on involvement with AI/LLM enablement in an enterprise context, including integration patterns (MCP, API abstraction layers), data governance, and prompt management., • Prior experience in asset management or investment research, with working knowledge of portfolio analytics, factor construction, and valuation metrics., • Demonstrated ability to design Python package structures and manage dependencies across teams and environments., • High attention to detail, particularly around numerical accuracy, and data quality in a financial context., • Strong proficiency with pandas, vectorized operations, and data quality handling., • Strong communication and stakeholder management skills, with the ability to work directly with non-technical front office users., • Proficiency with version control (Git) and collaborative development practices including code review.

Job DescriptionFounding Deployment Strategist (3 Openings) Onsite | San Francisco, CA Direct Hire / Permanent PlacementHireNow Staffing is actively recruiting three seasoned, highly skilled Founding Deployment Strategists on behalf of a valued client partner in the AI B2B software startup sector. HireNow Staffing is acting as a direct placement partner for these Founding Deployment Strategist opportunities.We are seeking highly technical, customer-facing builders who can help create and scale a customer engineering function from the ground up. These hires will own customer relationships, optimize deployments, automate internal workflows, and serve as a critical bridge between users and product leadership during an early growth phase.HireNow Disqualifier: Candidates with jumpy or unstable resumes will not be accepted or interviewed. We are prioritizing professionals with consistent tenure, startup agility, and measurable ownership impact.Key Responsibilities • Own customer relationships end-to-end from onboarding through adoption, optimization, and long-term success, • Train and refine AI agents using product tiers, pricing logic, buyer personas, and real-world customer scenarios, • Analyze usage trends, workflow data, and customer interactions to surface actionable product insights, • Build internal automations and repeatable workflows that scale the customer engineering function efficiently, • Reduce manual processes through systems thinking and tool-driven execution, • Partner closely with technical leadership to convert customer feedback into shipped improvements, • Guide customers through implementation, onboarding, and operational best practices, • Create documentation, internal playbooks, and scalable deployment frameworks, • Support rapid customer growth while maintaining quality and responsiveness Required Qualifications (Highly Important), • 3–5 years of experience in customer-facing roles within technology environments, • Minimum 1 year at a VC-backed startup (Seed through Series B preferred), • Demonstrated agent-specific deployment experience, including early-stage rollout of AI agents or agentic workflows, • Proven ability to build processes, automations, and playbooks from 01, • Strong systems thinking with engineering-oriented problem-solving ability, • Hands-on experience using AI tools and workflow automation platforms end-to-end, • Excellent written and verbal communication skills, especially in async and customer-facing environments, • Ability to independently own onboarding, coaching, and deployment execution, • Stable employment history with clear progression; candidates with jumpy resumes will not be considered Preferred Qualifications (Strongly Valued), • Background from MBB, Big 4 advisory, forward-deployed engineering, or highly client-centric technical environments, • Experience at voice AI, applied AI, or workflow automation startups, • Technical undergraduate degree in Engineering, Computer Science, Mathematics, or related field, • Experience partnering directly with founders or CTO-level leadership, • Strong customer onboarding and coaching experience in early-stage growth settings, • Proven ability to move quickly with minimal structure, • Experience translating customer pain points into product roadmap improvements HireNow Disqualifiers, • Unstable or inconsistent employment backgrounds, • Candidates who require a pre-existing playbook or significant handholding, • Backgrounds limited to highly enterprise / legacy / large tech companies (FAANG, SAP, JP Morgan, etc.) without startup agility evidence, • Account Managers or Customer Success Managers from large tech companies (greater than Series C) without hands-on build experience, • No direct AI agent deployment or automation ownership experience, • Base Salary: $140,000 – $185,000, • Additional Compensation: Equity + benefits package, • Work Location: Onsite – San Francisco, CA, • Employment Type: Full-Time / Direct Hire

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! We are not able to provide visa sponsorship (including H-1B, OPT, or other employment-based visas) for this position. Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. About the Role: Taskrabbit is looking for a Lead Financial Analyst to join our FP&A team — someone who combines sharp financial instincts with the interpersonal skills to influence a fast-moving organization. In this role, you'll partner with business leaders across the company to understand performance, evaluate investments, and help shape our path to sustainable growth and increased profitability. You'll need to be technically excellent — superb modeling skills and comfort getting deep in the data details are baseline expectations. But what will set you apart is your ability to build genuine partnerships with stakeholders from diverse backgrounds, translate complex analysis into clear decisions, and earn a reputation as a trusted advisor. If you're highly self-motivated, intellectually curious, great at building connections, and bring a strong sense of ownership to everything you touch, this role is for you. What You Will Work On: • Build and maintain complex financial models and reports in close collaboration with cross-functional stakeholders, • Play a critical role in forecasting, budgeting, and monthly reporting cycles, • Conduct ROI analyses to evaluate and prioritize investment opportunities, • Present analysis to senior and cross-functional audiences — crafting compelling narratives that surface key strategic decisions, not just data, • Take a leadership role in internal team meetings; coach and motivate junior team members and drive process improvements across the finance function, • Help build finance's reputation as a strategic partner by consistently delivering actionable insights to the business, • Contribute to Taskrabbit's internal AI strategy — identifying and executing opportunities to make the finance team, and the broader organization, more effective through AI toolsWho You Are:, • Bachelor's or Master's degree in finance, mathematics, analytics, economics, or a related quantitative field, • 5–8 years of experience in corporate finance, FP&A, investment banking, consulting, or business analytics, • Experience in a fast-paced tech environment, ideally a marketplace business, • Excellent financial modeling skills with a hands-on approach to data and model construction, • A natural communicator who can bridge technical and business audiences — turning complexity into clarity, • Someone who identifies critical business problems and solves them with rigorous, creative analysis, • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

Job Description . Applied AI/ML Engineer San Francisco, New York, Kansas City, or Remote (US) Replica provides data about the built environment and ways people interact with it. With better data, human-context and an intuitive design, Replica helps public and private sectors make informed, effective, and responsive decisions. By showing how people live, move and work, we contextualize hard choices, allowing our clients to see around corners and understand the trade-offs surrounding their decisions. Whether for a city planner increasing public transit to underserved neighborhoods or for a grocery chain evaluating where to open a new location, Replica’s insights lets clients make more informed, people-centered decisions. We spun out of Alphabet in 2019 and recently secured series B funding from venture firms including Founders Fund, Innovation Endeavors, Sidewalk Labs, Firebrand Ventures, and Revolution’s Rise of the Rest Seed Fund. Today, we are a team of 34 employees with offices in San Francisco, New York, Kansas City and Remote. We value our customers, believe in being resourceful, and work in service of each other to scale our product. As we build our team, we are committed to pursuing and bringing together a diverse workforce and creating an environment of inclusion. We value our differences and we encourage all to apply. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. The Role We’re looking for an Applied AI/ML Engineer to help design, implement, and scale advanced models that power Replica’s urban simulation and analytics products. This role is scoped at the Senior level or above: we expect candidates to operate at least at a Senior Engineer level, and for exceptional candidates, we are open to Staff or Principal-level. You’ll sit at the intersection of research and engineering, translating applied methods into production-ready models that deliver meaningful insights about mobility, land use, and activity patterns across the US. Unlike our infrastructure-oriented teams, your work will focus on algorithms, modeling, and applied AI/ML techniques that improve Replica’s products and unlock new capabilities for customers. Organizational Relationships Reports to: Director of Engineering Works closely with: Product and Data Science teams and other engineers on the Data Production team Collaborates with: Customer Success and Strategy teams to ensure models align with product needs and customer use cases Responsibilities • Design, prototype, and implement applied AI/ML models for mobility, activity, and behavioral modeling at scale., • Drive improvements to core models for routing, mode choice, demand estimation, and geospatial forecasting — balancing research innovation with production readiness., • Partner closely with Product and Data Science leadership to set technical direction for modeling initiatives, ensuring they align with customer and business needs., • Evaluate new data sources (e.g., vendor-provided mobility data, traffic sensors, geospatial layers) for quality, coverage, and fitness-for-use in Replica’s models., • Develop new algorithms to fuse Replica’s proprietary data with external sources (e.g., traffic sensors, land use, census, streaming data)., • Evaluate model performance, define success metrics, and iterate quickly to improve accuracy, robustness, and fairness., • Collaborate with data production engineers to transition prototypes into robust, production-quality systems used nationwide., • Contribute to modeling frameworks and shared libraries, mentoring peers and raising the technical bar across the team., • Stay current with advances in machine learning, optimization, and geospatial modeling, applying them pragmatically to Replica’s challenges. Minimum Qualifications, • Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or related field; advanced degree (MS/PhD) preferred., • 4+ years of professional experience in applied ML/AI, research engineering, or related roles., • Strong Python skills with experience in ML libraries (PyTorch, TensorFlow, scikit-learn) and numerical computing (numpy, pandas, scipy)., • Experience designing, training, and deploying AI/ML models in production., • Hands-on experience with large-scale data sets, especially geospatial or time-series data., • Familiarity with distributed computation frameworks (Dask, Spark, Ray) and cloud environments (GCP preferred)., • Proven ability to communicate technical decisions and tradeoffs clearly to both technical and non-technical stakeholders.What We Value, • We work in the service of others, • We understand that talent + diversity + curiosity + relentlessness wins, • We believe walking > talking, • We operate with thoughtful urgency, • We communicate openly and directly, • We build products people useBenefits, • Our people! We work as a team and are excited to contribute to city planning, • Competitive salary based on experience and potential for impact, • Equity at an early stage startup, • Health benefits including medical, dental, vision, and FSA options, • 401k account + employer safe harbor contribution, • Offices in San Francisco, CA, New York and Kansas City, • Replica is committed to fair and equitable compensation practices., • The base salary range for this position is $157,500 to $239,800. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to relevant qualifications, depth of experience, skill set, certifications, training, education, and specific work location. The compensation packages may be adjusted based on the candidate’s work location, due to differences in the cost of living for the given location. Our position titles may also span multiple career levels., • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., • To perform this job successfully, an individual must be able to perform each essential function satisfactorily., • The requirements listed are representative of the knowledge, skill and/or ability required., • Ability to operate at both a strategic/conceptual level and at a detailed, operational level metrics driven; highly disciplined, • Must have strong interpersonal skills, maturity and good judgment and be capable of communicating with a diverse range of individuals, • A hands-on, action-oriented approach that fits well with the entrepreneurial, fast-paced culture, • Engaging leadership style that builds and sustains credibility with colleagues, clients and other stakeholders Powered by JazzHR OmyiLKdP3z

Job Description Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Job Description Swish Analytics is hiring Basketball Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. We're hiring a Data Scientist to support our Sports Data Models Duties: * Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products. * Develop contextualized feature sets using sports specific domain knowledge. * Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models. * Strive to constantly improve model performance using insights from rigorous offline and online experimentation. * Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. * Adhere to software engineering best practices and contribute to shared code repositories. * Document modeling work and present to stakeholders and other technical and non-technical partners. Requirements: * Bachelor's degree in Data Analytics, Data Science, Computer Science or related technical subject area; Masters highly preferred * Demonstrated experience developing models at production scale for Basketball or sports betting * Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods * Minimum of 4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting * Experience with relational SQL & Python * Experience with source control tools such as GitHub and related CI/CD processes * Experience working in AWS environments etc * Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions * Excellent communication skills to both technical and non-technical audiences Base salary: Starting at $130,000 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

Job Description THIS POSTION IS FOR ACTIVE-DUTY MILITARY CANDIDATES ONLY The Department of Defense SkillBridge program is an opportunity for service members to gain valuable civilian work experience during their last 180 days. SkillBridge connects service members with companies in providing real-world job experiences. Position Overview The Calibration Technician C will apply knowledge of measurement science, mathematics, physics, and electronics to calibrate inspection, measurement, and test equipment in the Acoustical, Chemical, Dimensional, DC/Low Frequency, RF/Microwave, Fluid, Mechanical, Optical, Thermodynamics, and Time & Frequency disciplines to ensure measurement accuracy. The Calibration Technician C will identify and utilize appropriate manual and automated measurement procedures. This position will normally receive no instruction on work, applying job skills and company policies and procedures to complete a wide range of difficult tasks, and working on assignments that are moderately complex in nature where judgment is required in resolving problems and making routine recommendations. The Calibration Technician C will perform laboratory housekeeping and may perform some administrative duties. The Calibration Technician C may be asked to report opinions and interpretations. Responsibilities and Duties • Calibrate inspection, measurement, and test equipment (IM&TE) in one or more of the following disciplines – Acoustical, Chemical, Dimensional, DC/Low Frequency, RF/Microwave, Fluid, Mechanical, Optical, Thermodynamics, and Time & Frequency, in order to ensure compliance with published specifications, • Maintain primary and/or intrinsic calibration standards, • Maintain secondary and/or working calibration standards, • Perform maintenance, troubleshooting and repair of precision equipment, • Develop calibration procedures and methods, according to detailed specifications, blueprints, drawings, and other technical requirements, • Collect, compile, measure, summarize, and record data gathered during calibration., • Identify IM&TE out-of-tolerance conditions and perform corrective action via adjustments, component replacement, correction factors, etc, • Identify and correct measurement errors, as applicable, • Prepare calibration reports and certificates, • Adapt existing calibration equipment, standards, and techniques to accomplish unique measurements tasks for which they are not principally used, • Perform uncertainty evaluation and analysis for measurement standards and associated measurement processes, • Train subordinates in calibration concepts and procedures, • Interact with other technicians, Customer Service Representatives, Account Managers, and customers, • Other duties and responsibilities as may be assigned Qualifications • Minimum High School diploma or equivalent, • Must be able to perform general math and algebra functions, • Understanding of Basic Statistics, • Must possess good written and oral, communication skills, • Technical writing ability, • Intermediate ability to troubleshoot repair, align and optimize precision equipment, • Intermediate computer skills, • Proficient in use of MS Word and Excel, • Minimum three years of calibration experience some of which can be offset with formal metrology training, • Knowledge of Quality Management system (ISO 9001, ISO 17025 and ANSI Z540), • Must have great interpersonal and customer service skills, • Strong attention to details, • Must be a self-motivator, work as a team player, and follow written procedures Physical Demands • Must be able to lift up to 45 pounds without assistance, • Occasional standing and bending are required Working Environment Works primarily in a laboratory or manufacturing environment at a SIMCO location and/or customer sites Travel may be required to other domestic and possibly international locations What We Offer • Full - Time, non-exempt position, • Excellent benefits package includes; medical, dental, vision, disability, life insurance, 401(k) with company matching, employee funded pre-tax health, child care spending accounts and tuition reimbursement, • Vacation, sick and paid holidays SIMCO 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, SIMCO 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, and transfer, leaves of absence, compensation and training. For the second year in a row, SIMCO has been named #1 on a list of "The Best Places to Work" in the Bay Area by the Silicon Valley Business Journal and San Francisco Business Times. To all recruitment agencies: SIMCO Electronics does not accept agency resumes. Please do not forward resumes to our jobs alias, SIMCO Electronics employees or any other company location. SIMCO Electronics is not responsible for any fees related to unsolicited resumes.

Job DescriptionAtomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology platform. This platform enables new classes of micromachines to be designed and built by providing manufacturing processes and a materials library that are inaccessible to semiconductor manufacturing methods. It unlocks MEMS manufacturing not only for device classes that could never be produced by semiconductor methods, but also for entirely new categories. Furthermore, this digital platform is fully programmable in the way 3D printing is digital—but whereas 3D printing produces parts of a single material using a single process, the Matter Compiler™ technology platform is a multi-process, multi-material system: bits and raw materials go in, and complete, functional micromachines come out. The Atomic Machines team has also created an exciting first device—made possible only through the Matter Compiler™ technology platform—that we will be unveiling to the world soon.Our offices are in Emeryville and Santa Clara, California.About The Role: We're hiring a Controller to build the financial backbone that will carry us from breakthrough prototypes to high-volume production. This is a hands-on role for a builder who can establish strong fundamentals quickly—close, controls, inventory/cost accounting, systems, and audit readiness—and then hire and lead a team to support the next stage of growth. Reporting to the CEO, you'll be the company's accounting leader and a key partner to operations. You'll ensure the integrity of our financials, build scalable processes and policies, and serve as the primary stakeholder for financial systems (ERP and related infrastructure). You will work closely with Finance, Operations, and Strategic Growth to align accounting infrastructure with the company's mission and pace. This is an autonomous, fast-paced environment, and you will contribute to a world-changing vision. This role can be based in Emeryville or Santa Clara.What You'll Do: • Own all accounting operations, ensure scalable financial infrastructure, and establish best-in-class controls in a complex manufacturing environment, including general ledger, revenue/AR, AP, payroll accounting, fixed assets, accruals, and financial statement integrity., • Lead a disciplined monthly/quarterly/year-end close: establish timelines, reconciliations, review controls, and a reliable reporting package., • Build manufacturing accounting foundations: implement and maintain inventory accounting, WIP/COGS mechanics, costing methodology (standard/actual as appropriate), reserves (scrap/obsolescence), and physical inventory processes., • Partner with Operations on cost visibility and process scale: analyze manufacturing costs, improve transparency, and drive decision-ready reporting on unit economics and efficiency., • Select and implement scalable systems: lead evaluation and rollout of ERP/accounting infrastructure and supporting tools (AP automation, expense management, close management)., • Design and maintain internal controls and accounting policies: ensure compliance with GAAP and support future financing, audits, and growth needs., • Own external audit readiness: serve as primary point of contact for auditors, maintain support documentation, and drive a smooth annual audit process., • Coordinate tax compliance: partner with external advisors to ensure accurate and timely federal/state filings and support tax planning needs., • Build and lead the accounting team: hire, develop, and manage a team as the business scales; establish a high-accountability, high-ownership culture.What You'll Need:, • CPA and 10+ years of progressive accounting experience, ideally in manufacturing, hardware, or capital equipment businesses; 5+ years in a Controller or senior accounting leadership role., • Experience implementing or scaling ERP systems (NetSuite, SAP, Oracle, etc., • Deep expertise in inventory accounting, standard costing & cost accounting, WIP accounting, revenue recognition (ASC 606), and capex & fixed asset accounting., • Experience building accounting processes from early-stage to scaled operations., • Experience leading external audits (Big 4 or national firm preferred)., • Strong GAAP expertise and demonstrated ability to build processes and policies in a scaling company., • Manufacturing inventory and cost accounting depth: inventory valuation, WIP, COGS, reserves, cycle counts/physical inventory, and cost drivers., • Systems implementation experience, including ERP selection/implementation and building accounting infrastructure that scales., • Strong analytical and problem-solving skills; high attention to detail with the ability to operate at startup speed., • Excellent organizational and communication skills—able to translate accounting requirements to cross-functional partners., • A builder's mindset: proactive, hands-on, comfortable in ambiguity, and motivated to create structure where little exists.

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.The Role We are looking for an experienced Data Scientist to join our team, a cross-functional group supporting all aspects of Gametime. In this role, you will collaborate closely with the User Acquisition team to optimize Paid Social campaign performance across channels like Meta, TikTok, and Reddit through rigorous experimentation and advanced mobile measurement. This includes driving creative and spend efficiency, analyzing channel efficiency dynamics (IPM and CPM), and maximizing signal quality via SKAdNetwork (SKAN). You will play a key role in studying mobile cohorts to identify high-value opportunities across leagues and performers, working towards maximizing Customer Lifetime Value (LTV) and sustainable growth. By supporting the marketing team and optimizing the full user journey, you will have a direct impact on the success of the company. The ideal candidate has hands-on experience with mobile marketing and privacy-compliant measurement in a marketplace setting, and can thrive in a fast-paced, proactive, and dynamic environment. Key Responsibilities • Mobile Measurement: Own the technical frameworks for tracking marketing effectiveness in a privacy-first world. You will configure and optimize SKAdNetwork conversion value schemas to extract maximum signal from iOS campaigns, bridging the gap between platform data and internal truth., • Reporting & Visualization: Own the end-to-end design and maintenance of marketing analytics dashboards in our BI tools (Sigma/Tableau). You will serve as the single source of truth for reporting, ensuring stakeholders have accurate, real-time visibility into performance., • Campaign and Creative Performance: Conduct granular analysis on campaigns and creative performance, specifically monitoring Install Per Mille (IPM) and Cost Per Mille (CPM). You will provide data-driven recommendations to optimize the marketing spend portfolio across many leagues, performances, and creative types., • Cohort Analytics: Deeply analyze mobile user cohorts to understand retention and monetization behaviors. You will identify efficiency trends across specific leagues, teams, and performers, guiding budget allocation to capitalize on high-intent users., • Financial Modeling & Incrementality: Collaborate with marketing and finance team members to understand channel incrementality (lift) through measurement and experimentation, and inform financial scenario planning and target setting. Technical Skills • Mobile Marketing Expertise: Deep understanding of Mobile Measurement Partners (MMPs), SKAdNetwork, and the optimization algorithms of paid social platforms (Meta, TikTok)., • Programming and Tooling: Proficient in Python/R and SQL for data analysis, predictive modeling, and optimization workflows., • Statistical Analysis: Strong foundation in statistics, with experience in experimentation and incrementality measurement., • Collaboration: Ability to work cross-functionally with teams in marketing, supply, finance, product, and fan happiness to achieve business goals., • Critical Thinking: Demonstrates strong critical thinking and decision-making abilities, especially under pressure. Minimum Qualifications: • Education: Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, or related field., • Experience: 5+ years of experience in marketing analytics or growth data science., • Mobile-First Expertise: Prior experience in a mobile-first company with a deep understanding of SKAdNetwork (SKAN 4) and other privacy-compliant mobile measurement solutions is required., • Experience with Paid Social (Meta/TikTok) in a dynamic, high-growth marketplace environment., • Experience with Marketing Mix Modeling (MMM) or Incrementality testing. At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range$169,272—$199,143 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

Job Description Location: San Francisco Bay Area, CA Overview The Forward Deployed Software Engineer (FDSE) will be the ultimate problem solver, an elite member of First Resonance's "Delta" FDSE, being deployed to our customers' sites to overcome their most demanding challenges. In this role, you will be working hand-in-hand with customers by getting deeply involved in their operations, understanding their unique problems, and developing tailor-made solutions that integrate seamlessly with ION. Fired up to support eVTOLs, rockets, robots, and autonomous vehicles makers? As an FDSE, you will directly impact our customers’ ability to achieve these goals by interpreting their needs, developing software solutions from concept to delivery, and ensuring a high level of customer satisfaction. Your days could range from working with a customer's engineers to design a new feature that automates a laborious process to being the point person in debugging an issue blocking their production team. Responsibilities & Duties * Serve as a deployed technical expert, providing hands-on assistance with the implementation, usage, and further development of ION. * Collaborate with customers to understand their most pressing problems to develop coherent strategies & intelligent solutions (build custom web apps, wrangle large-scale data, etc) * Have total ownership in developing and managing the delivery of solutions, while maintaining high levels of customer satisfaction. * Write clean, scalable, and easily maintainable code across the stack * Work in small teams, taking ownership of end-to-end execution of high-stakes projects * Collaborate with the First Resonance team to continuously improve the product based on customer feedback and requirements. Minimum Qualifications & Skills * Strong engineering background in fields like Computer Science, Mathematics, Software Engineering, Physics, or Data Science * Excellent communication and interpersonal skills, with a strong ability to build relationships with different stakeholders (customers, their leadership and First Resonance teams) * Experience shipping production quality code * Ability to collaborate effectively with both technical and non-technical individuals in dynamic environments * Willingness to travel up to 40% to customer sites, as needed. Desired Qualifications * Experience in manufacturing, as Product Manager, or Lead Engineer * Experience with Python and/or React (Typescript) * Experience or curiosity in working with large-scale data to solve customer-facing problems * Comfortable working in a fast-paced, startup-like atmosphere with an entrepreneurial spirit Benefits & Perks * Health Insurance; medical, vision, dental, & life insurance. * Paid Parental Leave. * Employee Stock Option Plan. * Team outings, group lunches, open office, happy hours. * Paid holidays, sick days. * Flexible Friday and PTO. * 401K. First Resonance is an equal opportunity employer dedicated to building an inclusive and diverse workforce. First Resonance participates in E-Verify. As part of our onboarding process, a new hire's Form I-9 information will be shared with the federal government to confirm they are authorized to work in the U.S. Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. First Resonance accelerates the speed and reliability of hardware development for companies manufacturing the next generation of hardware products. This includes space exploration, electric airplanes, autonomous vehicles, nuclear reactors, robotics, and more. We are a group of software, hardware, and manufacturing engineers that are bringing the best of modern UX and data science to an industry that has been overly rigid in its innovation. We are removing the barriers preventing radical advancement by providing tools to manufacturing engineers and operators to move information more freely, collaborate with their teams more easily, and use the power of data to predict problems and provide insights that result in better hardware quality and delivery. Compensation Range: $145K - $175K

Job Description Location: San Jose to Santa Cruz CA Area Overview The Forward Deployed Software Engineer (FDSE) will be the ultimate problem solver, an elite member of First Resonance's "Delta" FDSE, being deployed to our customers' sites to overcome their most demanding challenges. In this role, you will be working hand-in-hand with customers by getting deeply involved in their operations, understanding their unique problems, and developing tailor-made solutions that integrate seamlessly with ION. Fired up to support eVTOLs, rockets, robots, and autonomous vehicles makers? As an FDSE, you will directly impact our customers’ ability to achieve these goals by interpreting their needs, developing software solutions from concept to delivery, and ensuring a high level of customer satisfaction. Your days could range from working with a customer's engineers to design a new feature that automates a laborious process to being the point person in debugging an issue blocking their production team. Responsibilities & Duties * Serve as a deployed technical expert, providing hands-on assistance with the implementation, usage, and further development of ION. * Collaborate with customers to understand their most pressing problems to develop coherent strategies & intelligent solutions (build custom web apps, wrangle large-scale data, etc) * Have total ownership in developing and managing the delivery of solutions, while maintaining high levels of customer satisfaction. * Write clean, scalable, and easily maintainable code across the stack * Work in small teams, taking ownership of end-to-end execution of high-stakes projects * Collaborate with the First Resonance team to continuously improve the product based on customer feedback and requirements. Minimum Qualifications & Skills * Strong engineering background in fields like Computer Science, Mathematics, Software Engineering, Physics, or Data Science * Excellent communication and interpersonal skills, with a strong ability to build relationships with different stakeholders (customers, their leadership and First Resonance teams) * Experience shipping production quality code * Ability to collaborate effectively with both technical and non-technical individuals in dynamic environments * Willingness to travel up to 40% to customer sites, as needed. Desired Qualifications * Experience in manufacturing, as Product Manager, or Lead Engineer * Experience with Python and/or React (Typescript) * Experience or curiosity in working with large-scale data to solve customer-facing problems * Comfortable working in a fast-paced, startup-like atmosphere with an entrepreneurial spirit Benefits & Perks * Health Insurance; medical, vision, dental, & life insurance. * Paid Parental Leave. * Employee Stock Option Plan. * Team outings, group lunches, open office, happy hours. * Paid holidays, sick days. * Flexible Friday and PTO. * 401K. First Resonance is an equal opportunity employer dedicated to building an inclusive and diverse workforce. First Resonance participates in E-Verify. As part of our onboarding process, a new hire's Form I-9 information will be shared with the federal government to confirm they are authorized to work in the U.S. Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. First Resonance accelerates the speed and reliability of hardware development for companies manufacturing the next generation of hardware products. This includes space exploration, electric airplanes, autonomous vehicles, nuclear reactors, robotics, and more. We are a group of software, hardware, and manufacturing engineers that are bringing the best of modern UX and data science to an industry that has been overly rigid in its innovation. We are removing the barriers preventing radical advancement by providing tools to manufacturing engineers and operators to move information more freely, collaborate with their teams more easily, and use the power of data to predict problems and provide insights that result in better hardware quality and delivery. Compensation Range: $145K - $175K