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Requisition Number: 27767 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $64,171.00 - $77,000.00 Security Clearance: Secret Level of Experience: Entry Level This opportunity resides with Global Security (GS). Mission Technologies’ Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business. As a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross-domain battle. With advanced technologies to enable mission readiness, HII understands that preparation requires full coordination—not readiness in piece-parts. For more than 40 years, the U.S. Navy has entrusted HII to maintain and modernize the vast majority of its fleet. With a holistic approach to life-cycle maritime defense systems—from small watercraft to submarines, surface combatants and aircraft carriers—HII ensures a high state of readiness. HII supports the Department of Energy’s national security mission through the management and operation of its sites, as well as the safe cleanup of legacy waste across the country. HII meets clients’ toughest nuclear and environmental challenges. Meet HII’s Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that’s right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072 Who We Are As a Software Engineer 1, you will work within an agile team to design, develop, and maintain software applications that support our nation’s most sensitive missions. This entry-level position focuses on applying basic engineering principles to develop code, troubleshoot technical issues, and collaborate with senior engineers to deliver high-quality solutions for Department of Defense (DoD) and intelligence community customers. What You Will Do Researches, designs, develops, and/or modifies enterprise-wide systems and/or applications software. Involved in planning of system and development deployment as well as responsible for meeting software compliance standards. Evaluates interface between hardware and software, operational requirements, and characteristics of overall system. Documents testing and maintenance of system corrections. What You Must Have 0 years experience with Bachelors in related field; or High School Diploma or equivalent and 4 years relevant experience. Candidate must have experience working with scientific programming and information systems management. Candidate must have experience with Windows, Linux, or UNIX environments. Candidates must be proficient in Visual Basic, Visual Studio .NET, SQL Server, and web technologies including HTML, JavaScript, SGML/XML, and PDF integration. Candidate must be a U.S. Citizen with an active Secret Clearance. Candidate must be based in or willing to commute to Philadelphia, PA. Bonus Points For Having! Expertise in JavaScript and HTML for front-end development. Experience in working with Oracle as a backend database. Physical Requirements May require working in an office, industrial, shipboard, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances. HII is more than a job - it’s an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application. Why HII We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America’s top large company employers, we are a values and ethics driven organization that puts people’s safety and well-being first. Regardless of your role or where you serve, at HII, you’ll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.

Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus. Advanced degree from an accre

statistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogrammingAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis., • Develop, validate, and implement statistical models to extract actionable insights from complex data., • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement., • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders., • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery., • Continuously improve analytical methodologies and automation processes to enhance data workflows., • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: • Expertise in statistics, mathematics, and data analysis techniques., • Proven experience in collecting, handling, and cleaning large, complex data sets., • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling., • Strong data modeling skills with experience in building and validating predictive models., • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries., • Meticulous attention to detail and commitment to data quality at every stage., • Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: • Experience working in a remote, cross-functional, or customer-focused team environment., • Background in developing and deploying machine learning solutions in production settings.

$20 - $70/hourpayKritaIllustrationmicro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale. Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Krita Expert Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities • Develop full-fledged digital illustrations in Krita, from initial sketch to final polish, while adhering to best practices and structured layer management., • Perform hour-long, live illustration workflows in a virtual machine, capturing each step of your process for AI training purposes., • Demonstrate and articulate your creative decision-making, effectively communicating both written and verbally with the team., • Collaborate closely with project coordinators to ensure workflows meet high standards and align with AI research objectives., • Utilize advanced Krita features and tools, sharing insight into professional techniques and methodologies., • Provide clear documentation and feedback on your workflows to support continuous improvement of AI systems., • Uphold a high level of organization, structure, and quality across all artwork produced. Required Skills and Qualifications • Demonstrated expertise in Krita with a professional or extensive freelance portfolio showcasing complete illustration projects., • Mastery in digital illustration and structured layer-based workflows from rough sketch to refined artwork., • Strong written and verbal communication skills, with a focus on articulating creative processes and feedback., • Hands-on experience in using Krita’s advanced features, brushes, and layer management tools., • Ability to consistently work independently within virtual environments and meet project goals., • Meticulous attention to detail and a commitment to producing polished, high-quality art assets., • Proven ability to document and communicate workflow steps clearly for technical and non-technical audiences. Preferred Qualifications • Previous experience training or collaborating with AI or machine learning teams on creative projects., • Background in art education or content creation around digital illustration tools., • Familiarity with recording and explaining digital illustration workflows for educational or research purposes.

The application window is expected to close on: 06/19/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. This role can be performed remotely from any location in Pennsylvania, DE or NJ. Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Come help organizations be their best, while you reach new heights with a team that has your back. Account Executives are individual contributors who play a vital role in driving a significant share of revenue for Splunk and Cisco. We are seeking a hardworking, driven, sales professional to drive revenue growth calling on large SLED accounts. We provide our reps with an environment in which they can make valuable contributions from day one while also building opportunities for learning and growth. The work you'll do will directly impact the experience of our customers. You will consistently deliver license, support, and service revenue targets - dedication to the number and to deadlines. In addition, you will: Land, adopt, expand, and deepen sales opportunities Explore the full spectrum of relationships and business possibilities across the client's entire org chart Become known as a thought-leader in machine learning and predictive analytics Expand relationships and orchestrate complex deals across more diverse business stake-holders Holistically embrace, access, and apply the channel to identify and open new, unchartered opportunities Provide timely and informative input back to other corporate functions 5+ years of direct sales experience selling enterprise software to large enterprises or Public Sector (required) in fast-growing, changing, and driven environments. At least 2 years of recent sales experience calling on State, Local or Higher Education customers for the State of PA Proven record of exceeding quota in complex, solution-based sales. Must live in the PA/NJ/DE region Subscription, SaaS, or Cloud software experience is highly preferred Previous experience applying partners, channels, and alliances to sell more efficiently and overachieve your quota Consistent track record of new business development and over achieving sales targets with prospects and customers in the defined territory Strong executive presence and polish, and excellent listening skills Experience with target account selling, solution selling, and/or consultative sales techniques; knowledge of Force Management, MEDDPICC, and Challenger methodologies is a plus At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. The starting salary range posted for this position is $198,000.00 to $333,800.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $277,200.00 - $406,000.00 Non-Metro New York state & Washington state: $269,100.00 - $409,600.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Business Area: Sales Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. At Cloudera, our goal is to make everyone feel valued for their contributions to the company's mission. We are looking for smart people who want to do remarkable things. We strive to build an environment of casual intensity where people enjoy coming to work every single day. We are currently seeking a customer-facing, hands-on technologist with a track record of success to join us. As a Senior Solutions Engineer you will: Own the technical sales process from introductory meetings (net new sales) through post-sales (customer satisfaction, upselling, and subscription renewals) Supporting the technical needs of customers including discovering new use cases for Cloudera's technology Designing solutions for your customers' needs using Cloudera technologies, based on reference architectures and common patterns Demonstrating Cloudera products in a way that inspires your customers to say "yes" to Cloudera Partnering with your Account Managers to show your customers the true value of a Cloudera solution and drive successful sales Presenting product roadmap and vision to inspire your customers to think bigger Interfacing with other Cloudera teams to ensure your customers hear one Cloudera voice Advocating for your customers' needs to Product Management and Engineering Participating in external publicity and evangelism (conferences, meetups, webinars, blogs) Achievements are aligned to a team goal with annual sales targets, as well as to your participation in knowledge exchange with peers and the wider community. We're excited about you if you have: A passion for using technology to make a difference to people and organizations. We'll supply some amazing tools to help you with this and you'll provide the connection to use cases, which make it real for your customers Bachelor's degree in related field of study or equivalent work experience. A minimum of 8 years experience in a customer-facing role, ideally in a pre-sales context The ability to create and give technical presentations and demonstrations Experience with some of the following technologies: Big Data, Data Warehousing or Relational Databases One or more of the three major cloud service providers (AWS, Azure or GCP). Formal certification is not required, but would be a great thing to have Data Engineering, Data Science or Machine Learning Operations, Security and Data Governance within the enterprise Unix or Linux Experience gathering and understanding customer business requirements Excellent written and verbal communication Problem solving skills A willingness to learn, a curiosity to discover and a drive to make your customers successful The expected base salary range for this role in New York base salary $171,000 - $210,000 Please note that the compensation details listed in our job postings reflect the base salary only, and do not include commissions or bonus as applicable The salary will vary depending on your job-related skills, experience and location This role is not eligible for immigration sponsorship (Note: Base Salary Ranges will be calculated from a % of OTE, based on split) What you can expect from us: Generous PTO Policy Support work life balance with _ Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages _ Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, _-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! We're seeking a versatile Principal Data Scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry-leading platform by architecting and deploying cutting-edge AI solutions that drive intelligent, automated, and forward-looking decision-making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems. Your Impact • Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Time Series Forecasting models to solve complex enterprise business and planning challenges., • Generative AI Architecture: Architect GenAI solutions, focusing on fine-tuning proprietary and open-source Large Language Models (LLMs) via Transformer architectures for specialized enterprise data tasks., • Next-Gen Interfaces: Design and integrate Conversational AI and autonomous Agentic AI workflows to create intuitive experiences that can independently execute complex planning tasks., • Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems., • Technical Leadership: Serve as a core subject matter expert, mentoring cross-functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning. Your Skills, • Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains., • Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks., • Experience fine-tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain-specific enterprise applications., • Taken responsibility for models from concept to production, utilizing strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments., • High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines., • Strong hands-on experience in traditional Machine Learning and deep learning techniques, specifically including Time Series Forecasting algorithms. Desirable, • Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field., • Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment., • Background in forecasting, planning, or analytics applications, • Familiarity with Anaplan or similar enterprise planning platforms, • Experience with A/B testing and experimentation frameworks for AI features, • Contributions to open-source ML projects or research publications #LI-SP1 Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person., • Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, _-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! We're seeking a versatile Principal Data Scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry-leading platform by architecting and deploying cutting-edge AI solutions that drive intelligent, automated, and forward-looking decision-making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems. Your Impact • Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Time Series Forecasting models to solve complex enterprise business and planning challenges., • Generative AI Architecture: Architect GenAI solutions, focusing on fine-tuning proprietary and open-source Large Language Models (LLMs) via Transformer architectures for specialized enterprise data tasks., • Next-Gen Interfaces: Design and integrate Conversational AI and autonomous Agentic AI workflows to create intuitive experiences that can independently execute complex planning tasks., • Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems., • Technical Leadership: Serve as a core subject matter expert, mentoring cross-functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning. Your Qualifications, • Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains., • Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks., • Experience fine-tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain-specific enterprise applications., • Taken responsibility for models from concept to production, utilizing strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments., • High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines., • Strong hands-on experience in traditional Machine Learning and deep learning techniques, specifically including Time Series Forecasting algorithms. Desirable, • Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field., • Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment., • Background in forecasting, planning, or analytics applications, • Familiarity with Anaplan or similar enterprise planning platforms, • Experience with A/B testing and experimentation frameworks for AI features, • Contributions to open-source ML projects or research publications #LI-SP1 Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person., • Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.

What success looks like in this role: We are looking for an emerging technologies specialist to join our digital marketing team. You will be responsible for exploring and evangelizing new and innovative technologies that can enhance our marketing capabilities and performance. A successful candidate will have a strong background in artificial intelligence (AI) and its applications in marketing, such as content development, personalization, optimization, and automation. You will also have a passion for staying updated on the latest trends and developments in the field of emerging technologies. Responsibilities • Evangelize the use of AI and other emerging technologies for marketing purposes across the organization., • Identify new technology opportunities and conduct feasibility studies and pilot projects to test their potential impact and value, • Curate best-in-class examples and case studies of how AI and other emerging technologies are transforming marketing practices and outcomes, • Collaborate with internal and external stakeholders to define business requirements, design solutions, and implement projects, • Provide technical support, training, and guidance to the digital marketing team and other users of the emerging technologies, • Monitor, measure, and report on the performance and impact of the emerging technologies on marketing goals and KPIs, • Build agentic workflows and act as "hands on keyboard" to enable new uses of AI in Marketing., • Stay abreast of the latest research, innovations, and best practices in the field of emerging technologies You will be successful in this role if you have: Qualifications • Bachelor's degree in Marketing, Computer Science, or a related field., • 4 years of experience in marketing (preferably B2B), with a focus on AI-driven strategies., • Strong knowledge of AI technologies, including machine learning, natural language processing, and predictive analytics., • Excellent presentation, communication and storytelling skills., • Ability to work effectively in a fast-paced, deadline-driven environment. Benefits Unisys offers an outstanding benefits package, featuring unlimited paid time off, a 401(k) match, comprehensive healthcare, HSA matching, ongoing learning opportunities, and more! We're committed to supporting work-life balance and investing in your future success. Video Interview At Unisys, we incorporate video interviews as a key part of our hiring process. This allows us to get to know you better and provide a more engaging and convenient interview experience. We appreciate your understanding and look forward to connecting with you virtually! #LI-MT1 This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government. Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys' _.

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you're starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you'll love from top to bottom - we give you the tools you need to succeed and the autonomy to reach your goals. EisnerAmper is seeking multiple AI Solution Architects who will serve as lead developers on the EisnerAI Platform, designing and implementing the technical architecture that powers EisnerAmper's intelligent solutions across tax, audit, outsourcing and advisory services. This role is essential to delivering the comprehensive AI platform that will transform how we serve clients and enable our vision of becoming the industry-leading AI-powered professional services firm. You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry You will have the flexibility to manage your days in support of our commitment to work/life balance You will join a culture that has received multiple top "Places to Work" awards We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions We understand that embracing our differences is what unites us as a team and strengthens our foundation Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work Ensure seamless integration across the platform's Data Management, Governance, AI, Agents and Application layers. Drive model evaluation frameworks and post-training optimization for custom LLMs and AI agents Lead technical development of the EisnerAI Agent Workforce such as TaxPrepBot, ComplianceRiskBot, DocIntake, and M&A Targeting Bot Design agentic frameworks supporting initiation, execution, state management, logging, and error handling Ensure adherence to data governance policies and responsible AI practices Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field 6+ years of software development experience with 4+ years in AI/ML architecture role 3+ years of hands-on experience with Azure cloud services and enterprise-scale solutions Master's degree preferred (Computer Science, AI/ML, or MBA with technical focus) Microsoft Azure AI Foundry: Deep expertise in Azure AI services ecosystem Azure Machine Learning: MLOps, model deployment, and lifecycle management Azure OpenAI Service: GPT models, prompt engineering, and fine-tuning Azure Cognitive Services: Document Intelligence, Language Understanding, and Computer Vision Azure AI Search: Vector search, semantic search, and knowledge mining Azure Databricks: Data engineering and ML model development Programming Languages: Python, C#, JavaScript/TypeScript, SQL AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position now or in the future. EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow. Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients. Should you need any accommodations to complete this application please email:talentacquisition@eisneramper.com #LI-JR1 #LI-Hybrid #LI-Remote Iselin

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit _ for more information. The Associate Director, Commercial AI Technical Lead provides seniorlevel technical expertise and handson leadership across AI and advanced analytics initiatives for the Commercial function of Jazz. This role acts as a key individual contributor and technical advisor, partnering closely with the Commercial organization and Digital Enterprise Capabilities Data & AI colleagues to ensure AI solutions are technically sound, scalable, compliant, and valuedriven. The role is responsible for supporting build versus buy evaluations, assessing the quality, robustness, and longterm viability of AI solutions, and contributing to the prioritization of commercial AI use cases based on business impact, feasibility, data readiness, and risk. Strong applied data science skills and pharmaceutical commercial experience are critical to success in this role. Essential Functions/Responsibilities Apply data science expertise for AI and advanced analytics solutions across Commercial use cases such as forecasting, targeting, segmentation, personalization, omnichannel engagement, and commercial optimization. Provide technical expertise in Generative AI applications for field teams (e.g., pre-call planning), marketing teams (e.g., content generation or market research), operations teams (e.g., knowledge summarization and search), etc. Evaluate the technical quality of AI solutions, including (where applicable) LLM strategy, solution architecture, model design, featurization, data requirements, validation approaches, explainability, monitoring, and scalability. Review and challenge analytical approaches, assumptions, and outputs from internal teams and external vendors to ensure solutions meet Jazz standards for rigor, trust, and compliance. Support technical assessments of build versus buy options for commercial AI capabilities, considering time to value, cost, scalability, extensibility, vendor dependency, and long term ownership. Participate in technical due diligence of vendor solutions, including review of methodologies, data usage, solution transparency, and operational readiness. Contribute clear technical input and recommendations to inform investment and solution implementation decisions. Evaluate build versus buy frameworks. Support prioritization of commercial AI initiatives by assessing feasibility, data readiness, implementation complexity, adoption readiness, and potential business impact. Partner with commercial and analytics stakeholders to define success metrics and ensure AI solutions are designed to deliver measurable value. Define pilot or MVP solutions that test solution applicability, confirm value measurement and define supporting process changes. Identify opportunities to reuse, standardize, or scale AI capabilities across brands, markets, or commercial functions. Remain hands on as needed, contributing to or reviewing development, experimentation design, feature engineering, and analytical pipelines. Apply best practices in data science, including model validation, bias assessment, explainability, and documentation appropriate for a regulated environment. Support the responsible application of advanced analytics, machine learning, and generative AI techniques in commercial contexts. Partner closely with Commercial, DEC Data Engineering, Architecture, and Security teams and Privacy and Compliance teams to support delivery of scalable, secure AI solutions. Translate complex technical concepts into clear, actionable guidance for non-technical stakeholders. Ensure commercial AI solutions align with enterprise data, AI, security, and governance standards. Required Knowledge, Skills, and Abilities Solid understanding of machine learning techniques, model evaluation, and real world deployment considerations. Experience evaluating third party AI solutions and comparing them with internally developed approaches. Experience working in regulated environments with awareness of privacy, compliance, and explainability requirements. Strong communication and collaboration skills with the ability to influence without formal authority. Experience supporting AI initiatives in a matrixed enterprise environment. Experience working with commercial data sources such as CRM, claims, promotional, and digital engagement data. Required/Preferred Education and Licenses Bachelor's degree with advanced training or experience in Data Science, Statistics, Computer Science, Engineering, Social science fields (quantitative psych, quantitative sociology, or economics) or a related quantitative field; advanced degree preferred. #LI-Remote Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $153,600.00 - $230,400.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: _.

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other highstakes legal work where accuracy, trust, and defensibility are essential. Relativity aiR is redefining document review through agentic AI systems that reason, cite their decisions, and scale across millions of documents. These systems automate complex legal workflows while keeping humans in the loop, enabling legal professionals to focus on what matters most. WHAT WE DO At Relativity, we are building a worldclass Applied Science organization focused on pushing the boundaries of intelligent systems in one of the most demanding and consequential domains: the legal system. Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity aiR. Our work goes far beyond simple model integrations. We build agentic systems that reason over documents, validate decisions statistically, remain auditable and defensible, and operate reliably at massive scale. Trust, reliability, and responsibility are foundational to everything we build. Our team values curiosity, experimentation, rigor, and collaboration. We move quickly, validate assumptions with evidence, and simplify aggressively to deliver systems that are safe, reliable, and impactful in production. Job Description and Requirements ABOUT THE ROLE As a Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend: understanding the problem space, designing solutions, validating them statistically, and bringing them to production in partnership with engineering, product, and customerfacing teams. This role is ideal for an experienced applied scientist who thrives at the intersection of modeling, experimentation, and realworld system reliability, and who is motivated by building AI systems that are not only powerful, but also defensible, interpretable, and safe by design. WHAT YOU'LL DO • Write productionquality code that solves real customer problems and scales cleanly, with systems designed to be easy to ship, operate, and maintain, • Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers, Designers, and Customers, • Design and execute statistically sound experiments and automate them into reusable benchmarks and evaluation frameworks, • Rapidly prototype AI and MLpowered solutions and mature them into reliable, scalable production models, • Select the appropriate modeling approach for each problem, ranging from classical machine learning techniques to frontier large language models, • Validate model behavior rigorously using evidence, metrics, and experimentation, remaining open to changing course when the data demands it, • Contribute to building intelligent systems that reason, cite their decisions, and operate defensibly at scale, • Help push the boundaries of agentic AI while ensuring systems remain auditable, reliable, and responsible WHAT WE'RE LOOKING FOR • 8+ years of professional experience in applied science, machine learning, or a closely related field, • Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience, • Proven ability to move quickly from prototype to production, simplifying complex ideas into robust systems, • Experience reading, validating, and applying research with a healthy level of skepticism, • Experience across a wide range of modeling techniques, from classical machine learning to largescale generative models, • Familiarity with modern MLOps tooling and practices, including containers, workflow orchestration, deployment patterns, telemetry, and experimentation systems, • Strong Python programming skills and experience with common data and ML libraries such as numpy, PyTorch, scikitlearn, and PySpark, • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and nontechnical audiences, • Endtoend ownership mindset, with the ability to understand new problem spaces, design solutions, and bring them to market alongside engineering, product, and support partners, • A collaborative, curious, and adaptable approach, with comfort leading, questioning assumptions, and learning from failure WHY WE COULD BE A GREAT FIT HighImpact Problems • Work on intelligent systems that operate in one of the most highstakes domains, where trust, reliability, and defensibility truly matter. Agentic AI at Scale • Build and extend AI systems that reason across millions of documents, cite their decisions, and automate complex legal workflows. Scientific Rigor and RealWorld Impact • Apply deep experimentation and statistical validation to systems that ship to real customers and influence real outcomes. Leadership and Growth • Lead technically while continuously learning in a thoughtful, supportive, and intellectually rich Applied Science organization. Collaborative Culture • Join a team that values kindness, curiosity, technical excellence, and shared ownership of outcomes. Compensation and Benefits • Competitive compensation, health and retirement programs, discretionary time off (DTO), parental leave for primary and secondary caregivers, companywide breaks, wellness resources, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $224,000 and $336,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language), Reinforcement Learning, Researching, Scientific Writing, Statistical Models, Technical Leadership

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, _-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! We're seeking a Senior Data Engineer to work across the full stack of Anaplan AI applications. You will build transformative AI capabilities from the ground up, including model integration and prompt engineering, and contribute to the technical direction for how we ingest, transform, store, serve, and govern the data that powers our LLM-based and agentic systems. You will build real-time, user-facing AI features that directly shape business planning and decision-making. This role demands strong machine learning expertise paired with data engineering skills-providing unique growth at the intersection of AI and enterprise software. Your Impact • Contribute to the data architecture, design, and deployment of scalable Generative AI and Machine Learning systems into production environments., • Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments., • Integrate and optimize LLMs for specific business planning use cases, including prompt engineering and RAG implementation., • Design and build the retrieval and knowledge layer powering our RAG and agentic workloads, such as vector databases, graph databases, knowledge graphs, hybrid search, and embedding pipelines., • Help design the knowledge graph that captures the semantics of customer models, metrics, hierarchies, and relationships., • Build the data plane for evaluation and continuous improvement, working with cutting-edge conversational and agentic AI technologies., • Engineer the feature and context pipelines that feed forecasting and anomaly-detection models at customer scale, balancing batch and streaming patterns., • Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics. Your Qualifications, • Extensive data engineering experience with a track record of delivering complex projects., • Hands-on experience building and shipping AI/ML products in production., • Practical experience with LLM-based systems: RAG architectures, embedding pipelines, prompt and response logging, and evaluation frameworks., • Hands-on expertise with vector databases, graph databases, and knowledge graphs., • End-to-end exposure to the model development lifecycle, including experience training and deploying ML models in production environments., • Solid knowledge of LLM APIs, prompt engineering, and conversational AI patterns., • Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments., • Proficiency in Python and modern software development practices (testing, code review, CI/CD). Desirable, • Hands-on experience with cloud-native ML infrastructure platforms., • Knowledge of vector databases (e.g., Pinecone, Weaviate, Qdrant) and embedding models., • Experience with model serving frameworks (e.g., vLLM, TensorRT, Ray)., • Background in forecasting, planning, or analytics applications., • Experience with A/B testing and experimentation frameworks for AI features., • Experience with model observability tools (e.g., LangSmith, W&B, MLflow). #LI-SP1 Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person., • Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, _-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! We are seeking a Senior AI Engineer to join us as a key founding member of a greenfield team building transformative AI capabilities from the ground up. In this role, you will work across the full stack of Anaplan AI applications, solving unique challenges at the intersection of AI and enterprise software. By experimenting with the latest AI models and collaborating with talented data scientists and product designers, you will build cutting-edge, user-facing AI features that directly impact how global businesses plan and make decisions. • Contribute to the architecture and take ownership of the design, development, and deployment of scalable Generative AI and Machine Learning systems into production environments., • Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments., • Integrate and optimize LLMs for specific business planning use cases, including prompt engineering and RAG implementation., • Build cutting-edge conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language., • Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics., • Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations., • Optimize model inference pipelines for performance, cost, and scalability in production environments., • Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behavior., • Participate in code reviews, lead technical design discussions, and mentor junior and mid-level engineers. Your Skills, • Extensive hands-on experience in AI, ML, or related engineering fields., • End-to-end exposure in model lifecycle development, including demonstrated experience deploying and maintaining ML models in production environments., • Strong knowledge of LLM APIs, prompt engineering, and conversational AI patterns., • Experience in fine-tuning LLMs for domain-specific enterprise applications., • Experience with MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments., • Worked with agentic frameworks and autonomous agent architectures., • Proficiency in Python and modern software development practices (testing, code review, CI/CD)., • Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models., • Experience with model serving frameworks (vLLM, TensorRT, Ray)., • Experience with A/B testing and experimentation frameworks for AI features., • Experience with model observability tools (LangSmith, W&B, MLflow). #LI-SP1 Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person., • Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, _-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! We're seeking a Principal Engineer, AI who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Your Impact • Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments., • Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments., • Integrate and optimize LLMs for specific business planning use cases, including prompt engineering and RAG implementation., • Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language, • Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics, • Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations, • Optimize model inference pipelines for performance, cost, and scalability in production environments, • Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behavior., • Collaborate with data scientists to productionise ML models and forecasting algorithms Your Qualifications, • Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains., • End-to-end exposure in model lifecycle development, including extensive experience in training and deploying ML models in production environments., • Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns., • Experience in fine-tuning LLMs for domain-specific enterprise applications., • Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments., • Experience with agentic frameworks and autonomous agent architectures., • Proficiency in Python and modern software development practices (testing, code review, CI/CD)., • Proven track record of delivering complex technical projects on time with high quality Desirable, • Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field, • Hands-on experience with cloud-native ML infrastructure platforms, • Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models, • Experience with model serving frameworks (vLLM, TensorRT, Ray), • Experience with A/B testing and experimentation frameworks for AI features, • Contributions to open-source ML projects or research publications, • Experience with model observability tools (LangSmith, W&B, MLflow) #LI-SP1 Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person., • Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.

Job Description At ChatBotz.ai, we are seeking a highly skilled and motivated Tech Lead to join our innovative team. As a Tech Lead - Conversational AI, you will play a crucial role in developing and implementing intelligent chatbot solutions that revolutionize businesses. Responsibilities: • Lead the development and implementation of conversational AI solutions using cutting-edge technologies., • Collaborate with cross-functional teams to gather requirements and define project goals., • Design, develop, test, and deploy highly scalable and reliable chatbot solutions., • Ensure the quality, performance, and security of the chatbot applications., • Stay updated with the latest advancements in conversational AI technologies and integrate them into our solutions., • Provide technical guidance and mentorship to the development team., • Conduct code reviews and ensure adherence to coding best practices and standards., • Troubleshoot and resolve technical issues related to chatbot applications., • Collaborate with stakeholders to define project timelines, deliverables, and milestones., • Stay up-to-date with industry trends and emerging technologies related to conversational AI. Requirements: • Bachelor's degree in Computer Science, Engineering, or a related field., • Proven experience as a Tech Lead or similar role in developing conversational AI solutions., • Strong programming skills in languages such as Python, Java, or JavaScript., • In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques., • Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework., • Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud Platform., • Familiarity with chatbot development tools and libraries., • Strong problem-solving skills and ability to think creatively., • Excellent communication and leadership abilities. Join our dynamic team at ChatBotz.ai and be part of revolutionizing businesses through intelligent chatbot solutions. Apply now and contribute to creating personalized and interactive experiences for users while streamlining customer support, enhancing sales processes, and delivering exceptional 24/7 customer service.

Job Description Embark on a transformative journey at the forefront of innovation as a Generative AI Strategist. Are you ready to shape the future of business by unleashing the power of generative AI and machine learning? Join us in driving strategic alignment, fostering collaborative engagement, and leading sales initiatives to deliver tangible business value through cutting-edge generative AI solutions. If you possess a passion for innovation and a drive to revolutionize businesses through generative AI, we welcome you to be part of our dynamic team. Seize this opportunity to drive impactful change and lead businesses into a new era of technological advancement as a Generative AI Strategist. Key Responsibilities: Strategic Alignment: • Facilitate alignment between the customer's technologists and business leaders to unleash the potential of generative AI and machine learning for driving business value., • Develop comprehensive roadmaps to ensure the effective implementation of generative AI solutions. Business Conceptualization: • Engage in discussions about intricate industry-specific concepts with executives, line managers, and technologists to identify key opportunities for leveraging generative AI. Collaborative Engagement: • Work closely with various teams within the customer's organization, including applied scientists, solutions architects, business development, marketing, and industry specialists to foster collaboration and innovation., • Build strong partnerships with regional organizations and external partners to amplify the impact of generative AI solutions. Sales Leadership: • Lead the strategic direction of large, complex sales opportunities from inception to successful closure and delivery., • Drive vision building exercises and scoping sessions to ensure alignment with customer needs and expectations. Workshop Facilitation: • Conduct interactive workshop sessions with customers to identify potential areas for deploying generative AI and machine learning solutions., • Collaborate with customers to define the scope of projects and articulate how generative AI can drive tangible business outcomes. Qualifications: • Proven experience in strategizing and implementing generative AI solutions in a business context., • Strong communication skills to engage with stakeholders at all levels and effectively convey complex concepts., • Expertise in collaborating with cross-functional teams and external partners to drive innovation and business growth., • Demonstrated ability to lead sales processes for complex technological solutions., • Proficiency in conducting workshops and facilitating productive discussions to drive actionable outcomes. If you are passionate about leveraging generative AI to transform businesses and drive innovation, we invite you to join our dynamic team as a Generative AI Strategist.

Job Title CNC Machinist I Location: Camden, NJ; Advanced Manufacturing Division Job Description: Holtec International seeks qualified applicants for the position of CNC Machinist at its manufacturing and production facilities in Camden, NJ. The CNC Machinist will be responsible for setting up and operating CNC machines to produce high-precision components. This role requires expertise in machining processes, blueprint interpretation, and quality control to ensure that all parts meet stringent specifications and tolerances. The CNC Machinist will collaborate with production teams, engineers, and quality control specialists to optimize machining operations and maintain the highest levels of efficiency and accuracy. Minimum required qualifications include High School Diploma or equivalent required. A 2-Year Technical Degree or completion of a relevant apprenticeship program required. Equivalent experience and on-the-job training may be considered in lieu of formal apprenticeship. 3-5 years of professional CNC machining experience required. Experience with CNC machinery and programming required. Ability to read and interpret technical drawings, blueprints, and schematics. Proficiency in using precision measuring tools and inspection equipment. Calculate dimensions and tolerances using mathematical principles. Additional desirable qualifications include experience with Fanuc, Siemens 840D, and HAAS controls preferred. Strong understanding of different metal types and machining characteristics. Ability to perform basic preventative maintenance on machines and tools. Troubleshoot and perform minor repairs on CNC machinery, including Haas, FPT, VBM, and Toshiba. Perform first-article inspections and make necessary adjustments before full production runs. Specific Areas of Responsibility: Accurately read and interpret CNC programs, blueprints, and work instructions.Set up and operate CNC Mills and Lathes using provided programs, fixtures, and tool lists.Adjust machine settings to ensure optimal performance and quality output.Load raw materials and verify proper alignment before machining. Conduct machine warm-ups and complete all safety checks prior to operation. Perform in-process inspections to verify that parts meet specifications and tolerances. Use precision measuring instruments such as micrometers, calipers, and bore gauges to inspect close tolerances and surface finishes. Document inspection results and report any deviations or defects. Ensure that finished parts conform to engineering drawings and quality standards. Identify and resolve programming errors, machine malfunctions, and tooling-related issues. Modify machine settings and optimize programs for efficiency and productivity. Continuously monitor operations and make real-time adjustments as needed. Apply knowledge of Geometric Dimensioning and Tolerancing (GD&T) to ensure accuracy in machining. Manage tools, assess tool life and wear, and utilize specialized tooling as required.Review daily job assignments and production schedules. Maintain accurate records of production output, scrap, and rework data. Ensure tools and equipment are properly calibrated and stored at the end of each shift. Participate in team meetings and provide feedback on process improvements. Report any mechanical issues or potential failures to the supervisor immediately. Follow all safety protocols to maintain a secure working environment. Salary Range: $34 per hour to $44 per hour based on experience. Holtec International offers a competitive benefits package to eligible associates, which includes: \n • Medical, dental, and vision insurance\n, • 401(k) retirement plan with company match\n, • Paid time off and 11 Paid Holidays\n, • Company-paid life and AD&D insurance\n, • Employee Assistance Program\n, • Wellness resources and voluntary benefits\n, • Training and educational assistance\n\n As a technology trailblazer and a prominent innovator in clean energy (nuclear and solar) industry, Holtec strives to foster a meritocratic work environment conducive to continuous learning and professional growth of its associates. Holtec is an equal opportunity employer with a long-standing commitment to social equity and environmental justice. The company gives special preference to disabled veterans as a part of its recruitment policy. Detailed information on the Company can be obtained by consulting the website: holtecinternational.com.

Spotify’s Personalization team is building the next generation of intelligent listening experiences. Across surfaces like DJ, Search, AI Playlists, and Home, we’re evolving from standalone features into a unified, agent-powered platform. Generative AI is reshaping how we build products and systems. As part of this shift, we’re creating a shared Agent Engine that powers agent-based experiences across Spotify. You’ll join a cross-functional group of engineers, researchers, and product partners working at the intersection of distributed systems, machine learning, and user experience to shape how millions of listeners interact with audio every day. • Lead the technical architecture of Spotify’s Agent Engine, the shared runtime that powers agent-based experiences across the platform, • Guide the transition of existing agent-powered features into a unified system, balancing speed, reliability, and real-world product constraints, • Design how internal systems can be exposed as agent capabilities, enabling seamless integration across recommendations, search, catalog, and more, • Build and improve evaluation systems that help teams measure quality, reliability, and user impact with confidence, • Partner with research and machine learning teams to define what belongs in system design versus model capabilities, • Explore and prototype new approaches to agent-based systems, and bring successful ideas into production at scale, • Support best practices in building production-ready AI systems, including experimentation, observability, and performance optimization, • Contribute to technical standards that help teams move faster while maintaining security and reliability, • Stay connected to advances in the AI and machine learning community, and apply relevant ideas to Spotify’s products, • You have experience building and scaling production AI systems, including systems powered by large language models, • You are comfortable working across system design, infrastructure, and machine learning concepts, and enjoy connecting these areas, • You have experience with areas such as agent orchestration, LLM infrastructure, evaluation systems, or data pipelines for machine learning, • You have worked on platform or consolidation efforts that bring multiple systems or teams together, • You are able to make progress in ambiguous problem spaces and bring structure to open-ended challenges, • You communicate clearly and work well with engineering, product, and research partners across different levels of the organization, • You stay informed on developments in AI and are motivated to apply new ideas in practical ways, • You take a pragmatic approach to building, using prototypes and iteration to move ideas forward, • You take ownership of outcomes and proactively manage risks, trade-offs, and expectations, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have _, • This team operates within the Eastern Standard time zone for collaboration The United States base range for this position is $281,196 - $401,709 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.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. Find our AI notice here: https://lifeatspotify.com/ai-notice

ISE is hiring an Embedded Content Security Engineer to partner with the team at one of our large clients in the media and entertainment industry. This role is particularly focused on AI and machine learning security, though responsibilities extend across the technology stack, including infrastructure and application security. The term “embedded” refers to the collaborative, integrated nature of the work, not embedded systems or IoT devices. What you’ll do at ISE: • Act as a subject matter expert on AI security, advising internal teams and external partners on best practices related to AI/ML technologies, • Stay ahead of emerging trends in AI threats, particularly those relevant to media and entertainment workflows, • Lead initiatives to build and enhance offensive testing capabilities for both AI and non-AI applications, • Conduct in-depth technical assessments of AI-enabled systems and deliver actionable insights to technical and non-technical stakeholders, • Support broader security reviews, including infrastructure (on-prem and cloud), appli-cations, content editing/transfer platforms, and media workflows., • Publish secure configuration guidance and work with vendors to assess and improve their content protection strategies., • Dedicate 50%-100% of time per week to one large client, • Travel to the Los Angeles, CA area on a regular basis: once every one or two months What you bring to the table: • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (Master’s degree preferred), • 7+ years of experience in cybersecurity, preferably with a focus on offensive security and technical assessments, • Demonstrated experience designing and securing infrastructure and cloud-native applications, • Proficiency with major cloud platforms (AWS, Azure, GCP), especially with respect to deploying and evaluating AI/ML solutions, • Ability to distill complex security findings for a non-technical audience, • Solid understanding of traditional infrastructure security technologies, including storage, VPNs, firewalls, directory services, and endpoint protection, • AI/ML certifications (e.g., AWS Certified ML, Azure AI Engineer) are a plus, • Information security certifications such as CISSP, CCSP, OSCP are also beneficial. Salary: $140K-$170K, depending on experience. If you don't think you meet all the criteria above but are still interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team. What we bring to the table: • Check out joinise.io for full details, • Work that matters; projects that impact people’s everyday life and wellbeing, • Quality, integrity, dedication, and education: our core values, • Life balance: flexible schedule, work from home options, unlimited vacation, • $0 health premium plan option, including spouse and family, • Opportunities to research and publish, speak at major security events and conferences, • Leadership and peers that support and mentor you: your growth is our growth, your success is our success, • Relaxed and fun environment: ditch the suit and tie, sit or stand at your desk or find a sofa How you’ll learn at ISE: Everyone has a mentor, or two or three sometimes. We hold you and ourselves accountable for your advancement. You’ll learn directly from your mentor, your colleagues, resources vetted by the team, and at regular firetalk lunches by your peers – oh, and lunch is on us once a week in the office. You also have access to paid training, workshops, university courses, certification courses, and we’ll pay for the certs too. Want to learn a new skill that you aren’t currently using but want to? Great! Innovation is key–new technology is important. About ISE: ISE is an independent security consulting and software firm headquartered in Baltimore, Maryland, dedicated to securing high value assets for global enterprises and performing groundbreaking security research. Using an adversary-centric perspective driven by our elite team of analysts and developers, we improve our clients’ overall security posture, protect digital assets, harden existing technologies, secure infrastructures, and work with development teams to ensure product security prior to deployment. Our team enjoys working in a creative, educational, and comfortable environment where they can thrive professionally. Building a Better Community: We value different viewpoints and fresh perspectives. We embrace people who challenge our thinking and question the status quo. We are opposed to narrow minded, exclusionary, and discriminatory viewpoints or practices that inherently undermine our creative process, hinder growth, and impede innovation. Need more info? Be sure you spend some time at www.ise.io. Make sure you look through all the perks on the Careers page, then check out our Research and Blog, our events page for the IoT Village, and About page. Follow us on Twitter @ISEsecurity and @IoTvillage

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. ESSENTIAL DUTIES AND RESPONSIBILITIES: Main responsibilities of the role focus on validation of memory system design on Sandisk’s enterprise SSD products • In-depth understanding of NAND management algorithms and testing methodologies, • Design and development of test cases for new memory system firmware designs, • Development and validation of data observability features and tools for validation purpose, • Perform system-level verification tests of NAND management FW features, • Perform end-of-life (EOL) reliability verification tests, • Perform failure analysis on EOL and other FW maturity test failures, • Data analysis based on drive logs and statistical data, • Collaborate with FW and other design teams on design feedback and improvement, • Present data report to design team and provide conclusions and recommendations on validation tasks REQUIRED: • BS/MS in Computer Engineering, Computer Science, Electrical Engineering, or other related fields, • 2+ years of related experience in one or more of the following areas: system validation, system integration, software development, NAND device, storage device design and testing, failure analysis, data analysis, testing infrastructure development, • Experience with Python highly preferred, • Knowledge of Object Oriented Programming, • Knowledge of C, JavaScript, GIT, GitHub, AGILE is highly valued, • Knowledge of recent Generative AI, Copilot, machine learning is a plus SKILLS: • Proven ability to achieve results in a fast-moving dynamic environment, • Self-motivated and self-directed, • Demonstrated ability to work well with others, both within the team and across teams, • Ability to troubleshoot and analyze complex problems, • Ability to multi-task and meet deadlines, • Excellent written and verbal communication and interpersonal skills Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "” poster. Our pay transparency policy is available . Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at _ to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 09/06/2025 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-RT1 Compensation & Benefits Details • An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs., • The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future., • You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards., • We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan., • 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, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

At My Funded Futures, we’re transforming the world of proprietary trading by giving traders the capital, tools, and community they need to succeed. We blend innovation, transparency, and performance to create opportunity — helping traders scale faster and smarter. If you’re passionate about fintech, financial markets, and data-driven growth, you’ll fit right in. Explore our open roles below and see how you can help us shape the future of funded trading. Location: Remote / Hybrid Type: Full-Time Reports to: Director of Business Intelligence We're looking for an analytically strong, hands-on BI & Data Analyst with 3-5 years of experience turning data into decisions. In this role, you'll own our Power BI environment, work directly in Microsoft Fabric, and partner across the business to deliver reporting and insights that drive better decisions. MyFundedFutures (MFF) is a fast-growing futures evaluation and trading firm built for the next generation of global traders. We sit at the intersection of capital markets, technology, and risk, giving traders the tools, capital, and infrastructure to succeed. Our data platform is already built on Microsoft Fabric using a Medallion architecture (Bronze, Silver, Gold), with clean, structured data flowing across trading platforms, CRM, risk engines, payments, support, and marketing data. The foundation is in place. Now we need someone to expand our Power BI ecosystem across the business and help strengthen a culture where decisions are backed by data. Data & Reporting • Own our Power BI environment end to end, including semantic models, DAX, and dashboards for executive leadership, risk, finance, operations, marketing, and support., • Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business., • Build scalable data models using star schema and fact/dimension design principles., • Deliver automated daily, weekly, and monthly reporting that gives teams timely, reliable access to key metrics. Analysis & Insights • Analyze trader behavior, including success rates, churn, risk signals, and anomalies., • Support pricing, product, and growth decisions through scenario modeling, sensitivity analysis, and financial performance reviews., • Identify early warning signals in risk and operational data before they become larger issues. Cross-Functional Partnership • Partner closely with the COO, Risk, Finance, Marketing, Product, and Support teams to translate business questions into analytical frameworks and actionable insights., • Act as a trusted internal partner who helps teams understand what is happening in their area of the business and why. Required • 3-5 years of experience in business intelligence, data analytics, or a related field., • Strong SQL skills, including complex queries, CTEs, window functions, and performance tuning., • Hands-on Power BI experience, including semantic models, DAX, and business-critical reporting., • Python and/or PySpark experience for data work, including pandas, scripting, API calls, and automation., • Strong data modeling fundamentals, including schema design, grain definition, and scalable reporting structures., • Experience with Microsoft Fabric or a comparable platform such as Azure Synapse, Data Factory, or Databricks., • Experience integrating data from APIs, webhooks, or third-party SaaS platforms. Nice to Have • Experience in capital markets, futures trading, prop firms, or brokerage operations., • Familiarity with drawdowns, leverage, volatility, and liquidation concepts., • Experience working with financial time-series data., • Interest in machine learning use cases such as churn prediction, anomaly detection, and forecasting, with openness to tools such as AutoML and MLflow as that capability evolves., • You translate complex data into clear, practical narratives for non-technical stakeholders., • You work autonomously and are comfortable taking initiative in a fast-moving environment., • You bring a strong sense of ownership and follow through on problems from identification to resolution., • You are comfortable operating in ambiguity and can create structure when priorities are evolving., • You think critically and creatively, challenge assumptions, and look for better ways to solve problems., • Help shape how a high-growth trading firm makes decisions., • Work alongside experienced operators from capital markets, fintech, and trading technology., • Flexible work environment focused on outcomes and impact., • Competitive compensation and meaningful room to grow as the company scales. Equal Employment Opportunity My Funded Futures is an equal opportunity employer. We believe that diversity drives innovation and success. We are committed to building an inclusive environment where every team member feels valued, respected, and supported—regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic. In compliance with pay transparency laws, My Funded Futures provides compensation ranges in job postings where required. Final compensation may vary based on experience, qualifications, and location. We also offer comprehensive benefits and performance-based incentives. If you require assistance or an accommodation during the application process, please contact our HR team at _. Applicants must be authorized to work in the applicable country without employer sponsorship. The Company does not offer visa sponsorship or immigration assistance for this position.

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

Onebrief is collaboration and AI-powered workflow software designed specifically for military staffs. By transforming this work, Onebrief makes the staff as a whole superhuman - meaning faster, smarter, and more efficient. We take ownership, seek excellence, and play to win with the seriousness and camaraderie of an Olympic team. Onebrief operates as an all-remote company, though many of our employees work alongside our customers at military commands around the world. Founded in 2019 by a group of experienced planners, today, Onebrief’s team spans veterans from all forces and global organizations, and technologists from leading-edge software companies. We’ve raised $320m+ from top-tier investors, including Battery Ventures, General Catalyst, Sapphire Ventures, Insight Partners, and Human Capital, and today, Onebrief is valued at $2.15B. With this continued growth, Onebrief is able to make an impact where it matters most. Battle Road Digital, part of Onebrief, applies state-of-the-art innovations and experience from the video game industry to build the future of simulations, modeling, and operations with AtomEngine – our proprietary cloud-based game engine that’s making the world playable. We're hiring a Game AI Designer to help design and productize the entity “brain” that governs behavior across AtomEngine, enabling both internal teams and external developers to author, configure, and extend intelligent behavior. You're turn complex objectives, constraints, and rules into credible and explainable behavior. This role focuses on decision-making systems, not machine learning. You will work with Hierarchical Task Networks (HTNs), Goal-Oriented Action Planning (GOAP), and state machines to define how entities perceive the world, evaluate options, select actions, execute them, and adapt to dynamic conditions. In addition to designing the behavior logic itself, this role is responsible for productizing the AI system - ensuring it can be safely, clearly, and powerfully exposed to external developers and end users via APIs and the Modkit. Develop a deep understanding of the simulation’s features, constraints, and emergent dynamics Research military doctrine and commander intent to understand the expectations for how entities should behave under a broad range of circumstances Conceptualize and design AI behavior models using HTNs, GOAP, state machines, and related decision frameworks that can express a wide range of intended outcomes and behaviors Define the structure, abstractions, and constraints of the entity “brain,” in close collaboration with engineering Translate high-level intent (doctrine, rules, roles, objectives) into concrete, inspectable, and configurable decision logic Design and author entity behavior using a visual scripting editor Design behavior systems that support variation, parameterization, and reuse, rather than hard-coded outcomes Participate in iteration cycles to refine behaviors based on simulation outcomes, user feedback, and observed emergent behavior 3 – 5 years’ experience designing game-based AI/decision-making systems using HTNs, GOAP, state machines, or comparable frameworks Proven ability to conceptualize AI behavior models that express a wide range of intended outcomes, constraints, and variations Strong systems-thinking skills, with the ability to reason about complex decision spaces, tradeoffs, and emergent behavior Experience partnering closely with engineers to design and evolve runtime AI systems, including defining abstractions, constraints, and interfaces Sufficient experience writing code so that you can read, understand, and contribute to behavior-related code, prototypes, or tools in collaboration with engineering Ability to clearly articulate design intent, assumptions, and limitations to both technical and non-technical stakeholders Due to federal contract requirements, U.S. Citizenship is mandatory for this position. Preferred Qualifications Active or prior U.S. security clearance (or eligibility to obtain one) Background in military operations and warfighting concepts – either through prior service or sustained personal interest Notice to Third Party Recruitment Agencies Please note that Onebrief does not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed Recruitment Services Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement Onebrief explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of Onebrief.

Beacon Biosignals is on a mission to revolutionize precision medicine for the brain. We are the leading at-home EEG platform supporting clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our FDA 510(k)-cleared Waveband EEG headband and AI algorithms enable quantitative biomarker discovery and implementation. Beacon’s Clinico-EEG database contains EEG data from nearly 100,000 patients, and our cloud-native analytics platform powers large-scale RWD/RWE retrospective and predictive studies. Beacon Biosignals is changing the way that patients are treated for any disorder that affects brain physiology. We are seeking a Clinical Trial Operations Associate to join us in our mission to make brain monitoring easily accessible, interpretable, and actionable. In this role, you will collaborate with clinical research sites, project teams, and internal stakeholders to support the deployment of Beacon’s devices in clinical studies. This role focuses on study startup, site management, and live-study monitoring, ensuring the highest quality standards and compliance with regulatory requirements. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs located in Boston, New York, and Paris. • Collaborate with project teams to support study startup activities., • Act as the primary point of contact for clinical sites, ensuring smooth operations and clear communication., • Provide training to research sites on the use of Beacon’s devices and study protocols, ensuring proper device usage and data collection., • Monitor project progress, ensuring adherence to timelines, protocols, and quality standards., • Maintain compliance with Good Clinical Practice (GCP), International Conference on Harmonization (ICH) guidelines, and regulatory standards., • Address operational issues promptly, escalating through tools like Zendesk and Asana for resolution., • Provide actionable feedback from research sites to inform improvements in devices and workflows., • Experience in clinical project management or clinical operations roles., • Strong organizational and project management skills, with the ability to manage multiple responsibilities effectively., • Excellent written and verbal communication skills in English; additional languages are a bonus., • A proactive mindset with the ability to identify priorities and anticipate challenges., • Meticulous attention to detail, ensuring accuracy in data collection and reporting., • Familiarity with GCP, ICH guidelines, and clinical research regulatory requirements., • A desire to learn more about analytics, statistics, machine learning, and clinical trials. The base salary range for this role is determined based on past experience, specific skills and qualifications. The base salary is one component of the total compensation package, which includes equity, PTO and other benefits. At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.

Zimperium, Inc. is a global leader in mobile device and app security, offering real-time, on-device protection against both known and unknown threats on Android, iOS and Chromebook endpoints. The company was founded under the premise that the then current state of mobile security was insufficient to solve the growing mobile security problem. At the time, most mobile security was a port from traditional endpoint security technologies. Zimperium recognized mobile devices had unique characteristics needing a completely new approach. The team set to work to reimagine how to protect mobile devices and developed the award winning, patented z9 machine learning-based engine. As part of our fast growing pace, we are currently looking for a Customer Support Engineers become the technical expert responsible for supporting the Customers using our solution. This resource should be a self-driven individual who assumes accountability in ensuring high level of customer satisfaction. The individual should have strong technical skills and an analytical mind to research, diagnose and resolve the issues raised by the Customers. Should be team player capable of collaborating with the Product, DevOps, and Engineering teams. Location: Dallas, TX & Bangalore, India, & EMEA (UK) • Product & Domain Expertise – Understands mobile applications, SaaS based delivery models and troubleshoot /debug issues reported by the customer., • Customer Satisfaction & Risk Management – Maintain a high level of customer satisfaction and take ownership of customer issues reported and seeing problems through to resolution while providing Zimperium’s management with adequate visibility on any potentials risks., • Roll up your sleeves – Learn everything about the product, Validate Customer specific fixes and releases working with QA team, develop technical documentation for specific customer needs., • Customer Advocacy – Gather Customer’s feedback and follow the standard escalation procedures for unresolved product issues and bugs, creating JIRAs for engineering to work on., • Collaborate with internal teams – Work closely with customer success, development and product teams in different time zones to address customer issues. Desired Skill Set:, • Strong SQL skills, python/ java scripting, Unix skills., • Prior experience with Mobile Apps, mobile architecture and MDM Solutions like MS-Intune, AirWatch, Mobile Iron, Citrix., • Familiarity to SIEM tools like ArchSight, Splunk, etc., • Familiarity with Cloud Architecture : Amazon Web Services components, Linux Containers / Docker, OpenStack, postgress, kaftka., • The following skills are a plus: Android Studio (adb, junit), xCode., • Bachelor’s in computer science or information technology or an equivalent engineering degree., • 5+ years (Mid-Level) or 1-3 years (Junior) of experience working with Enterprise software solutions, startup experience desirable., • Good understanding and proven experience in supporting cloud-based web applications., • Hands-on skillsets with Python, Java and SQL Scripting. At least 1-3 years of experience implementing and supporting Mobile application infrastructure., • Self-motivated, extensive troubleshooting skills and knowledge of debugging required., • Customer oriented and face to face post-sales services experience with excellent communications skills., • Experience in Mobile app delivery and deployment concepts on iOS and Android will be plus.Zimperium, Inc. is a global leader in mobile device and app security, offering real-time, on-device protection against both known and unknown threats on Android, iOS and Chromebook endpoints. The company was founded under the premise that the then current state of mobile security was insufficient to solve the growing mobile security problem. At the time, most mobile security was a port from traditional endpoint security technologies.Zimperium recognized mobile devices had unique characteristics needing a completely new approach. The team set to work to reimagine how to protect mobile devices and developed the award winning, patented z9 machine learning-based engine. Zimperium is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Product & Content Marketing Manager InfinitForm | Marketing | Full-time | Remote (US) About InfinitForm InfinitForm has built the Intelligent Physical AI platform for modern manufacturing. Our platform is deployed by manufacturers who need to move faster, cut defects, and scale production without adding headcount. Backed by leading investors and led by a team with deep roots in AI, robotics, and industrial software, we are on a mission to make every factory a learning factory. The Role We're hiring a Product & Content Marketing Manager to own the story we tell about InfinitForm to customers, buyers, and the broader Physical AI and manufacturing community. This is a hybrid role that sits at the intersection of product marketing and content marketing, with a single commonality: compelling, technically credible content that drives pipeline and shortens sales cycles. On any given week you might ship a whitepaper on AI-driven defect detection, film a YouTube walkthrough of a new platform capability, rewrite the sales deck after a messaging shift, launch a lifecycle email for new customers, and publish three LinkedIn posts. If that range sounds like the fun part of the job, keep reading. You will report directly to the Head of Growth Marketing and partner closely with Sales, Product, and Customer Success. This is an individual contributor role with a clear path to scope up as the team grows. What You'll Do Product marketing & sales enablement Partner with Sales to create and maintain pitch decks, one-pagers, battle cards, case studies, and customer-facing collateral that close deals. Build and iterate on onboarding content for new customers — getting-started guides, in-product walkthroughs, how-to videos, and training materials. Translate product releases and roadmap updates into crisp sales enablement materials and internal briefings. Interview customers and field teams to surface proof points, use cases, and ROI stories you can turn into durable assets. Support product launches end-to-end: positioning, messaging, launch collateral, and internal enablement. Content marketing Own the editorial calendar across the blog, YouTube, LinkedIn, X, and email. Write long-form content — blog posts, whitepapers, customer stories, and POV pieces — that establishes InfinitForm's perspective on Physical AI in manufacturing. Produce and publish YouTube content: scripts, interviews, product walkthroughs, and customer stories. Coordinate filming and editing, in-house or with freelancers. Run the social cadence: posts, graphics, and short-form video for LinkedIn and X. You are the voice of InfinitForm on social media. Build and ship lifecycle email programs in HubSpot including newsletters, nurture sequences, and product update emails. Measure what is working and what is not, and use SEO and analytics tools to optimize for engagement, organic traffic, and pipeline contribution. What You'll Bring 3–5 years of marketing experience at a B2B company, with meaningful exposure to manufacturing, industrial, or supply-chain buyers. A portfolio of published writing — blogs, whitepapers, customer stories, or scripts — that you can share with us. Hands-on experience running email and nurture programs in HubSpot including reporting and list management. Working knowledge of SEO and analytics tools (GA4, Ahrefs, SEMrush) and a track record of using data to shape content decisions. Experience producing video for YouTube or similar channels including scripting to editing. Comfort in Claude or Canva to design clean social graphics and lightweight assets without a dedicated designer. Strong writing chops: you can translate technical concepts (robotics, machine learning, computer vision, factory floor operations) into crisp, human copy. A builder's mindset: you prefer shipping, testing, and iterating to long meetings and sign-off chains. Nice to Have Direct experience marketing an AI, robotics, computer vision, or industrial automation product. Prior work at an early-stage startup where you wore multiple hats and helped build the marketing function from the ground up. Familiarity with manufacturing workflows, CAD systems, or factory operations. Why InfinitForm Work on the category-defining challenge of bringing AI into the physical world. Fully remote across the US, with a team that defaults to clear async writing over meetings. Direct collaboration with the founders and executive team on every major decision. How to Apply Send us your resume along with 2–3 samples — writing, video, campaign pages, or decks — that show your range across product marketing and content. A short note on why InfinitForm and Physical AI interests you goes a long way. Equal Opportunity InfinitForm is an equal opportunity employer. We welcome applicants from all backgrounds and do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

_ is planning to bring a million developers and a billion users onchain. We need your help to make that happen. _ is planning to bring a million developers and a billion users onchain. We need your help to make that happen. We are looking for a Protocol Engineer to join the Base team to help us continue scaling in order to pave the way for billions of people coming onchain. What you'll do: • Hack on execution client internals (geth, reth, etc.) to extend capacity and capabilities of these systems well beyond current standards., • Develop representative loads against which to rigorously benchmark performance., • Improve OP stack through efforts such as reducing the footprint of data that needs to be made L1-available., • Helping with important external scaling efforts such as PeerDAS and Danksharding. What we look for in you: • Some understanding of geth and/or reth internals (deep understanding of either a huge plus)., • Familiarity with database internals and high performance database systems., • Understanding of the Ethereum scaling roadmap, and crypto-forward knowledge more generally., • A track record of successful scaling of an existing high throughput system. Nice to haves: • Experience in software parallelization, including but not limited to optimistic concurrency and operation pipelining., • Understanding of optimized approaches to Ethereum state management such as Erigon/Reth’s flat DB, FirewoodDB, MonadDB, etc., • Deep understanding of EVM internals, and (just-in-time) compilation expertise that might be applied to it. Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility + benefits (including medical, dental, vision and 401(k)). Base salary range shown. Total compensation also includes equity and bonus eligibility and benefits:$152,405—$179,300 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the and the by clicking on their corresponding links. Additionally, Coinbase participates in the _ in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site a free compatible screen reader. Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available . By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.

PeopleFun is an award-winning creator of mobile games for players across the globe. PeopleFun is a Dallas-based game studio founded and led by game industry veterans, where game developers thrive on collaboration, creativity, teamwork, and fun. Our games are played by over 25 million players each month, and we have a number of exciting mobile games in development to fuel the future growth of PeopleFun. We believe in bringing People together through Fun by creating the best in class social features and communities in our games that enables our players to engage deeply with other players. Secondly we endeavor to bring our studio teammates together by creating the very best game teams that foster healthy collaboration, incredible productivity, and life-long professional relationships. Candidates who reside or will reside in the following locations are eligible for this role: California, Colorado, Florida, Georgia, Illinois, Maryland, Massachusetts, Minnesota, Nevada, New Hampshire, New Jersey, Oregon, Rhode Island, Texas, and Washington State. Job SummaryPeopleFun is actively seeking a highly skilled and innovative Principal Engineer to lead the development of our pioneering dynamic difficulty system, WordAlgo. This critical role involves optimizing the player experience by dynamically adjusting game difficulty in real-time, leveraging initial rule-based algorithms, and subsequently integrating advanced Machine Learning and Large Language Models. The impact of this work will extend across multiple mobile word puzzle games within our portfolio, significantly enhancing player engagement and retention. Reporting to a General Manager with a strong engineering background, the successful candidate will operate within a collaborative, agile team comprising a data scientist and a data engineer. This environment emphasizes iterative development, A/B testing, and continuous evaluation of innovative solutions. We are looking for a professional with a proven track record in challenging technical domains, a proactive approach to problem-solving, and a passion for creating highly engaging mobile game experiences. This position offers a unique opportunity to contribute to a transformative initiative within a fast-paced and forward-thinking organization. • Design, develop, and implement the core Word Algorithm (WordAlgo) system, initially focusing on rule-based logic and evolving into ML and LLM-driven solutions using unit tests, • Create tools to convert and generate optimized data for use in mobile games., • Collaborate closely with data engineers and data scientists to integrate data pipelines and leverage player data for difficulty detection and adjustment., • Work hand-in-hand with game development teams to seamlessly integrate WordAlgo into existing and new mobile games, ensuring a clean and well-documented API for game logic to consume., • Design and document technical specifications for WordAlgo components, including algorithm logic, data flow, and API contracts., • Participate actively in an Agile development environment, contributing to iterative design, implementation, and testing cycles., • Continuously monitor and analyze game performance data to identify opportunities for algorithm optimization and player experience improvement., • Articulate technical concepts, challenges, and solutions clearly and concisely to both technical and non-technical stakeholders through verbal and written communication., • Champion PeopleFun's culture of trust, humility, and team-focused results in all aspects of work., • 7+ years of experience in mobile game development, with a strong understanding of game architecture and systems., • Demonstrated experience successfully launching and operating at least one commercial mobile game title., • Expert-level proficiency with Unity game engine, including a deep understanding of its architecture, scripting (C#), and best practices., • Proven ability to design and implement robust, scalable, and well-documented APIs., • Excellent verbal and written communication skills, with the ability to articulate complex technical ideas and engage in productive discussions., • Experience writing comprehensive technical design documents., • Familiarity with Agile development methodologies and a track record of delivering iteratively., • Experience with or a strong understanding of Machine Learning concepts and applications., • Familiarity with Unity Sentis or similar on-device ML inference engines., • Experience working with large datasets and data-driven systems., • Knowledge of Natural Language Processing (NLP) or Large Language Models (LLMs).PeopleFun provides a competitive total compensation package with a pay-for-performance rewards approach. The expected base pay range for this [CA-based or North America-based] position is $120,000–$206,250. Compensation is based on factors including market location and individual qualifications. Depending on the position offered, equity, sign-on bonuses, and other compensation may be included as part of the total package. BenefitsMedical/Dental/Vision Insurance Performance Bonuses401K Match Policy Flexible PTO PolicyWellness Stipend Free Lunch each FridayGenerous Parental Leave & Family-Friendly CultureAnnual Credits for Professional Development & In-App Purchases PeopleFun is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant _.

About the role We are hiring an Applied Scientist II to build and improve the machine learning and GenAI models that power our underwriting decisions. You will take ownership of high-impact modeling problems end-to-end. This includes framing and data exploration through model design, evaluation, deployment, and monitoring, directly influencing how we assess and price cyber risk. You’ll work closely with underwriters, product managers, and engineers to design robust pipelines, experiment with state-of-the-art ML/GenAI techniques, and ship models that meaningfully move business metrics. Your work will turn complex insurance and security signals into reliable decisioning systems, helping Coalition write better business at scale while pushing the frontier of AI in underwriting. Responsibilities • Build and advance our most sensitive and business-critical ML and GenAI models that power underwriting decisions and risk selection., • Drive and execute ML projects end-to-end: problem framing, data exploration, feature engineering, model design, prototyping, offline/online evaluation, deployment, and monitoring., • Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid and reproducible experimentation., • Apply state-of-the-art ML and GenAI workflows (e.g., gradient-boosted trees, deep learning, LLMs, prompt engineering, transfer learning) to improve underwriting accuracy, automation, and decision support., • Own model quality and robustness by defining success metrics, running ablations and diagnostics, and iterating to outperform prior baselines., • Survey and incorporate recent advances in ML/GenAI research into our core underwriting capabilities, balancing scientific rigor with practical constraints., • Collaborate closely with underwriters, product, data, and engineering partners to clarify requirements, align on tradeoffs, and ensure models integrate cleanly into production workflows., • Communicate methods and results clearly through documentation, presentations, and design reviews; share learnings and patterns that level up the broader team., • Contribute to a culture of scientific and data excellence by bringing mature empathy, best practices, and lightweight processes to experimentation, code review, and model governance. Skills and Qualifications • Ph.D. or MS in a quantitative or computational field (e.g., Computer Science, Statistics, Applied Math, Electrical Engineering) or equivalent practical experience., • 5+ years of full-time experience developing and deploying ML- and data-based solutions in production., • Practical, hands-on experience with supervised and unsupervised learning methods, including model selection, regularization, and calibration., • Expertise in statistical analysis methods, especially regression analysis, statistical inference, and forecasting / time-series methods., • Strong proficiency in Python and core ML libraries (e.g., scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow) and SQL for working with large, messy datasets., • Experience with experiment design and evaluation (e.g., A/B tests, offline metrics vs. online KPIs, guardrails) and with ensuring reproducible results., • Comfortable and effective in ambiguous problem spaces; demonstrated ability to own and drive projects with minimal oversight and process., • Exceptional written and oral communication skills, with the ability to explain complex modeling choices and tradeoffs to technical and non-technical stakeholders., • Minimum 1+ year of experience in insurance underwriting modeling (pricing, risk scoring, eligibility, or related applications). Bonus Points • Experience with modern GenAI techniques relevant to underwriting (e.g., using LLMs for document understanding, unstructured-to-structured extraction, or underwriter copilot workflows)., • Familiarity with model governance in regulated environments, including documentation, validation, monitoring, and change management., • Experience with ML orchestration and MLOps tools (e.g., Airflow, Prefect, MLflow, SageMaker) for managing training, deployment, and monitoring at scale., • Exposure to causal inference or uplift modeling for understanding the impact of underwriting or guideline changes., • Experience working with cyber or P&C insurance data (exposures, limits, deductibles, claims, external risk signals). Compensation Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $115,900/year in our lowest geographic market up to $155,250/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed. Perks • 100% medical, dental and vision coverage, • Flexible PTO policy, • Annual home office stipend and WeWork access, • Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!, • Competitive compensation and opportunity for advancement

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Job Description Summary Welocalize is offering a unique opportunity for those who enjoy a combination of linguistic and technical work. We are seeking Localization QA Testers / Proofreaders for a project in Cupertino, California. We need your native-level fluency skills combined with strong technical skills. If you are looking for a long-term (no end date) role this is an excellent opportunity for you! The tester will conduct test cases, identify localization bugs, report them via an internal bug-tracking system as well as verify the fixes once implemented. The perfect candidate will possess strong linguistic skills. Job Details: Location: Onsite in Cupertino, CA (100% onsite attendance, no remote work) - client's shuttle available! Workweek: Mon-Fri 8:30 am-4:30 pm (7 work hours and 1-hour unpaid break included) = 35 paid hours per week Hourly Rate: $35 Duration: Project-based W-2 employee, eligible for benefits based on hours worked Must have a US work permit Benefits: ▪️ Accident, Critical Illness, Hospital Indemnity Insurance ▪️ Telemedicine Benefit ▪️ Paid Sick Time - Employees accrue 1 hour of paid sick leave every 30 worked hours ▪️ Paid Holiday: 2 days ▪️ Employee Assistance Program Following eligibility requirements: ▪️ Medical Insurance ▪️ Dental Insurance ▪️ Vision Insurance ▪️ FSA and HSA ▪️ Voluntary Life Insurance ▪️ 401(k) Retirement Plan- After 1000 hours worked \n Requirements • Native-level fluency in their respective language (grammar, vocabulary, composition, punctuation), • Fluency in English (written and spoken), • Experience working in translation, • Tech savvy, with experience testing web-based systems and applications on Mac OS X and iOS, • Ability to prioritize linguistic issues and distinguish between a true must-fix and a nice-to-have, • Experience working with test cases and test scripts, • Experience with bug tracking systems, • Ability to clearly articulate reproduction steps for a given issue and communicate critical information, • Strong problem-solving skills, • Ability to work independently and as part of a team, • Ability to work with very diverse teams, • Ability to work under pressure in a fast-paced environment, • Strong team ethic \n List of languages available at the moment: HE (Hebrew) _ HR (Croatian) _ NL (Dutch) _ PL (Polish) _ RO (Romanian) _ FR-CA (French-Canada) _ HU (Hungarian) _ PT-BR (Brazilian Portuguese) _ SL-SL (Slovenian) _ EL (Greek) _ FR-FR (French) _ IT (Italian) _ PT-PT (Portuguese-Portugal) _ SK (Slovak) _ FI-FI (Finnish) https://jobs.lever.co/welocalize/32063d4b-3d6a-4c64-b936-0cdbc66142f9

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding. Key Responsibilities • Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes., • Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets., • Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models., • Analyze healthcare datasets including claims, patient, provider, operational, or clinical data., • Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions., • Monitor model performance, retrain models, and optimize algorithms for production environments., • Mentor junior data scientists and provide technical leadership across the project., • Ensure compliance with healthcare data privacy and governance standards., • 8–10 years of experience in Data Science / Machine Learning roles., • Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics)., • Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras., • Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks., • Mandatory experience working in the Healthcare domain., • Strong programming skills in Python, SQL, and ML libraries., • Experience with cloud platforms such as AWS, Azure, or GCP preferred., • Excellent stakeholder communication and leadership skills. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

POS-13934 The Senior Counsel will join the Legal Commercial Vendor Management (Comm-VM) team and be responsible for managing a high volume of vendor agreements across the company, including technology and AI-enabled services. This role requires the ability to efficiently handle day-to-day contracting needs while independently leading complex negotiations when necessary. The ideal candidate brings strong experience in technology and AI-related contracting, exercises sound commercial judgment, and partners effectively with Procurement and Security to drive timely, risk-aligned outcomes. This is a senior individual contributor role. • Draft, review, and negotiate a broad range of vendor agreements, including:, • Master Services Agreements (MSAs), • Statements of Work (SOWs), • Non-Disclosure Agreements (NDAs), • SaaS and cloud services agreements, • Data Processing Agreements (DPAs), • AI and machine learning-related agreements, • Product and in-product technology agreements, • Marketing, consulting, and professional services agreements, • Manage a high volume of agreements efficiently while maintaining strong attention to detail and risk discipline., • Independently lead negotiations involving complex commercial, technical, or data-related issues., • Provide practical, risk-based guidance to stakeholders and escalate matters appropriately when required., • Ensure negotiated terms align with internal policies and risk tolerance., • Advise on contracts involving AI-enabled tools and services, including:, • Data usage and training rights, • Model access and output ownership, • Confidentiality and intellectual property protections, • Regulatory and compliance considerations, • Security and bias-related provisions, • Stay current on evolving legal and regulatory developments related to AI., • Incorporate AI-specific protections and guardrails into templates and fallback positions., • Partner closely with Procurement throughout the vendor review and engagement process., • Collaborate with Security to address data protection and cybersecurity terms., • Participate in vendor review meetings and provide timely, clear status updates., • Support business teams across product, marketing, and operations., • Draft, update, and refine contract templates and playbooks, including AI-related provisions., • Provide training to Procurement and internal stakeholders on contracting processes and risk considerations., • Identify and implement process improvements to enhance contracting efficiency within Comm-VM., • Juris Doctor (JD) from an accredited law school., • Active license and good standing in at least one U.S. jurisdiction., • 6–10+ years of commercial contracting experience, preferably in-house., • Significant experience negotiating SaaS, cloud, and technology vendor agreements., • Demonstrated experience negotiating AI-related contracts, including data rights and model usage considerations., • Experience managing a high volume of agreements in a fast-paced environment., • Experience partnering with Procurement and Security teams strongly preferred., • Strong technical and AI contracting expertise., • Ability to manage volume without sacrificing quality., • Sound commercial judgment and balanced risk assessment., • Clear and practical communicator with non-legal stakeholders., • Organized, responsive, and able to prioritize effectively in a fast-moving environment. Pay & Benefits The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons. will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s . Benefits are also an important piece of your total compensation package. Explore the _ HubSpot offers to help employees grow better. At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community. Annual Cash Compensation Range:$160,000—$240,000 USD We know the and can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us _. At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page _. India Applicants: link to HubSpot India's equal opportunity policy _. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We’re building a company_. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world. Explore more: • _, • _ HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found . By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot's for details on data processing and your rights.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. The Developer Platform team is building the future of Reddit: a future where third-party developers, moderators and everyday redditors can invent and ship brand-new apps, games and tools that create entirely new ways for communities to play, connect and get things done at reddit. We power everything from interactive custom posts and daily games to mod tooling and data products, giving builds the primitives they need to create entirely new kinds of experiences on Reddit. Within Developer Platform, our Growth team focuses on helping redditors discover the right apps and games at the right time through ranking, notifications, and cross‑surface entry points, directly moving the needle on engagement and DAU for Dev Platform experiences. You’ll work end‑to‑end with a highly collaborative, cross‑functional group of engineers, PMs, designers, and data scientists who value impact, personal growth, openness, and kindness, and who ship quickly while holding a high bar for reliability and performance across Reddit’s web, mobile, and backend stack. We are looking for a Staff Machine Learning Engineer to build the ranking and personalization systems that connect redditors with their next favorite game or app on Reddit. You will work closely with Product, Backend, Data Science, and Core Ranking/ML Platform teams to design and ship best-in-class ranking, retrieval, and experimentation systems that power discovery and re-engagement for Dev Platform experiences across feeds, surfaces, and notifications. You will own problems end-to-end—from framing objectives and defining signals, to training and deploying models, to designing experiments and reading results—not just tuning existing knobs on mature systems. You’ll help define the ranking strategy for Developer Platform, stand up new ML models and feedback loops where none exist today, and turn noisy behavioral data into clear wins for users, creators, and developers. This is a high-impact, 0→1 role where your work will directly shape how interactive apps and games show up on one of the largest sites in the world. You’ll set technical direction for Dev Platform ranking, raise the bar on relevance and system reliability, and mentor other engineers as we scale a team of builders who value impact, personal growth, openness, and kindness. Languages: Go, Python, C++ or any object oriented programming language Libraries: Baseplate, GraphQL Databases: Redis, Postgres, Memcached Tools: Kubernetes, AWS Tools: Kubernetes, Docker, AWS, GCP • Design and ship next-generation ranking and personalization models that power discovery of Dev Platform apps and games across Reddit surfaces., • Partner with ML, DS, and product to define signals, APIs, and feedback loops for building, deploying, and iterating on ranking models., • Explore and productionize new retrieval, ranking, and experimentation approaches that unlock new Dev Platform experiences., • Champion model quality, reproducibility, and experimentation best practices — including offline evaluation, A/B testing, and monitoring for model health and degradation, • Mentor engineers and lead technical discussions, shaping the long-term ranking and personalization modeling strategy for Dev Platform., • 8+ years of experience building and deploying ML models in production, particularly in ranking or personalization modeling, large-scale representation learning, or recommender systems., • Proven track record working on cross-functional product teams (PM, Design, DS, Eng) where you owned end-user outcomes, not just models or infra, and shipped features that moved core product metrics., • Strong domain knowledge in modern ranking and personalization techniques: user/item embeddings, multi-task learning, sequential modeling, or similar approaches applied at scale., • Experience designing and implementing performant, stable, and efficient ML or ranking systems (recommendation, ads, search, feed, or similar high-throughput decision systems)., • Strong organizational skills with the ability to prioritize, sequence, and de-risk work, keeping complex projects on schedule with a high attention to detail., • BS in Computer Science or a related technical field, or equivalent practical experience., • Comfortable with software engineering best practices: testing, code reviews, technical design docs, and clear documentation for other teams that depend on your systems., • Entrepreneurial mindset: you are self-directed, comfortable in ambiguity, and biased toward action in fast-paced environments. You like 0→1 building, iteration, and learning from experiments and failures., • Excellent communication skills: you collaborate effectively in a remote, cross-functional team, and can explain complex ML and ranking concepts to both technical and non-technical stakeholders. Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #LI-remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 - $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast is looking for a hands-on Principal Software Engineer to join the AI & Strategy Engineering team. In this role, you will be a primary builder of 0-to-1 tools designed to revolutionize how our sales teams operate. This isn't about maintaining legacy systems; it’s about writing the code and building the intelligence models that eliminate friction across the Go-To-Market stack. Working under a Senior technical leader, you will be responsible for the "heavy lifting" of backend engineering and Machine Learning implementation. You will bridge our custom quoting software and Salesforce with intelligent, agentic workflows that allow sales users to make faster, data-backed decisions. A day in the life (Responsibilities) • Hands-on Execution: Spend the majority of your time "hands-on-keyboard," architecting and coding high-performance backend services and ML pipelines., • 0-to-1 Development: Build and prototype new internal products from scratch that leverage LLMs and Agentic AI to automate account research, lead prioritization, and complex quoting logic., • Core Intelligence Models: Design and implement ML models that provide real-time recommendations to sales users, reducing manual entry and increasing deal velocity., • Infrastructure Integration: Develop the backend connective tissue between our custom quoting engine, Salesforce, and internal data lakes to ensure a seamless, low-latency end-to-end experience., • Technical Problem Solving: Act as a domain expert to solve complex synchronization and architectural challenges across the GTM stack, ensuring systems are scalable and resilient., • Quality & Mentorship: Drive engineering excellence through rigorous code reviews, automated testing, and by modeling best practices for SE1-SE3 engineers on the team., • Build Great Products: Deliver significant core capabilities that have broad impact; take high-level goals and turn them into sequenced, production-ready code., • Problem Solve: Anticipate shifts in product needs and build flexible, decoupled backend systems that can evolve with our AI strategy., • Deliver Quality: Ensure the reliability of GTM tools by building deep observability into every service you ship. What you'll need to thrive (Requirements) • Deep Backend Expertise: Extensive experience in backend languages (Java, Go, Python) with a track record of building complex, distributed systems., • Applied AI/ML Skills: Practical, hands-on experience deploying Machine Learning models and building with LLMs (e.g., LangChain, RAG architectures, or Model Fine-tuning) in a production environment., • Technical Complexity: Experience building or deeply integrating with complex enterprise software, specifically custom quoting engines or CRM internals (Salesforce Apex/LWC)., • Systems Architecture: Ability to design event-driven architectures and manage data flow across disparate systems with high integrity., • Education: Bachelor’s or Master’s degree in Computer Science, or a related technical field. What will help you stand out (Nonessential Skills/Nice to Haves) • Experience building internal "Sales Tech" or "Fintech" tools that directly impact revenue., • Familiarity with AWS data services (SageMaker, Lambda, SQS)., • A passion for removing "human-in-the-loop" friction through intelligent automation. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at _. #LI-Remote The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our _. Zone A $230,000 - $368,000 USD Zone B $200,000 - $320,000 USD Zone C $180,000 - $288,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: _ Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: _. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact _. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Mission Summary: We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services. You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement. What you'll be doing: • Team Leadership & Management:, • Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration., • Provide technical guidance, mentorship, and career development opportunities to team members., • Foster a collaborative and inclusive team environment., • Define team goals, priorities, and roadmap in alignment with company objectives., • Technical Strategy & Execution:, • Define the technical vision and strategy for ML acceleration across the organization., • Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques., • Design, develop, and implement scalable and efficient ML acceleration solutions., • Cross-functional Collaboration:, • Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly., • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders., • Act as a technical expert and advocate for ML acceleration initiatives across the company., • Impact & Measurement:, • Regularly measure and report on the impact of acceleration efforts., • Continuously seek opportunities for further optimization and innovation. What we're looking for: • Experience:, • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience, • 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems, infrastructure, or performance optimization., • 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams., • Extensive experience with large-scale ML model training and deployment, ideally in a production environment., • Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure)., • Technical Skills:, • Deep expertise in ML frameworks such as PyTorch or JAX., • Proficiency in performance profiling and optimization techniques for ML workloads., • Strong programming skills in Python; C++ experience is a plus., • Knowledge of MLOps principles and practices., • Leadership Skills:, • Exceptional leadership, communication, and interpersonal skills., • Ability to attract, hire, and retain top engineering talent., • Proven ability to drive complex technical projects from conception to completion., • Strong problem-solving skills and a proactive, results-oriented mindset., • Ability to thrive in a fast-paced, dynamic environment. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$240,000—$330,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on , , and _. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

PartsBase Inc. is the world's largest online Aviation Marketplace and Community. Our global community is comprised of over 6,500 companies accessing our technology in over 140+ countries & territories. We work with some of the biggest brands in aviation including Delta, Northrop Gruman, AvAir, Heico, Chevron, Air France Industries, and Air Australia. PartsBase offers a FULLY remote environment where one can work at the forefront of where the aviation business meets technology. Imagine getting to work with peers worldwide, implementing business technology projects that challenge the boundaries. One of the top benefits of working at PartsBase is the culture. We are a TEAM-focused organization, and everyone celebrates each other's successes. Our inclusive culture welcomes all employees and values their unique contributions to our success. Our clients tell us time and time again that our people set us apart from the competition. We naturally strive to hire the very best talent. The ideal candidate is a motivated, well-organized individual who has a deep understanding of prospecting and developing strong relationships with customers. About PartsBase PartsBase is the world's largest online SaaS marketplace for aviation parts, connecting buyers and suppliers across the global aerospace industry. As a subscription-based platform built on an ARR (Annual Recurring Revenue) business model, we deliver mission-critical commerce infrastructure that powers billions in transactions annually. As we scale our SaaS operations, we are investing heavily in digital transformation—modernizing our finance organization through process automation, real-time analytics, and AI-enabled workflows that align with the velocity and precision required in today's software-driven business environment. Position Summary PartsBase is seeking a highly operational and digitally-fluent Finance Operations Leader to oversee the company's core accounting functions while spearheading our finance transformation journey. This role sits at the intersection of traditional accounting excellence and modern SaaS finance operations. You will lead day-to-day accounting operations across Accounts Payable, Accounts Receivable, General Ledger, and month-end close, while simultaneously driving strategic initiatives in workflow automation, revenue recognition frameworks, subscription metrics analysis, and scalable SaaS financial operations. The ideal candidate brings a strong accounting foundation combined with deep experience in SaaS business models (ARR, MRR, CAC, LTV, churn), digital transformation initiatives, and a passion for building technology-enabled finance functions that scale efficiently. Key Responsibilities SaaS Accounting Operations Oversee daily accounting operations across AP, AR, General Ledger, and month-end close activities with a focus on subscription revenue, deferred revenue, and ARR metrics. Ensure accurate revenue recognition under ASC 606 for multi-year SaaS contracts, usage-based billing, and marketplace transaction fees. Monitor and report on key SaaS financial metrics including ARR growth, net revenue retention, billings, and deferred revenue movements. Maintain strong internal controls and ensure accuracy, timeliness, and integrity of financial data across subscription lifecycle management. Support SaaS-specific financial reporting and provide insights into unit economics, cohort performance, and marketplace health metrics. Digital Transformation & AI-Enabled Automation Lead digital transformation initiatives that modernize finance operations through cloud-based systems, API integrations, and real-time data connectivity. Identify and eliminate manual processes by implementing intelligent automation for invoice processing, subscription reconciliations, revenue recognition calculations, and anomaly detection. Champion AI-driven initiatives including machine learning models for transaction categorization, predictive cash flow analytics, churn risk identification, and automated close preparation. Design and implement exception-based workflows that reduce manual touchpoints while improving accuracy, speed, and scalability across the financial close process. Collaborate cross-functionally to integrate financial systems with CRM, billing platforms, payment gateways, and marketplace infrastructure, enabling seamless data flow and real-time visibility. Evaluate, pilot, and scale emerging fintech solutions including robotic process automation (RPA), AI copilots, and autonomous accounting platforms. Process Excellence & Operational Scalability Build standardized, repeatable accounting workflows optimized for a high-velocity SaaS environment with distributed teams and global operations. Develop real-time dashboards and operational metrics that provide visibility into close progress, subscription cohort performance, cash conversion cycles, and process bottlenecks. Document and continuously improve finance processes to support rapid scaling without proportional headcount increases—embracing the 'do more with less' SaaS efficiency mandate. Foster a data-driven, digitally-native finance culture that leverages technology as a strategic enabler rather than a back-office function. Qualifications Required Experience 5+ years of progressive accounting operations experience, with at least 2 years in a SaaS, subscription-based, or high-growth technology company with ARR business models. Deep understanding of SaaS financial metrics (ARR, MRR, net revenue retention, CAC payback, LTV:CAC ratio, Rule of 40) and subscription revenue recognition under ASC 606. Proven track record leading digital transformation initiatives in finance—implementing automation platforms, migrating to cloud-based systems, or building API-driven integrations between financial and operational systems. Hands-on experience with modern finance technology stack including cloud ERP systems (NetSuite, Sage Intacct, QuickBooks Online), billing platforms (Stripe, Zuora, Chargebee), and automation tools (Zapier, Workato, UiPath, or similar). Experience implementing or optimizing AI-enabled finance tools such as predictive analytics, intelligent document processing, automated reconciliations, or machine learning-based categorization. Strong technical fluency with data analysis tools (Excel/Google Sheets advanced functions, SQL basics, BI platforms like Tableau or Looker) and ability to work effectively with engineering and product teams. Demonstrated ability to redesign legacy manual processes into scalable, technology-driven workflows that support hypergrowth without linear headcount expansion. Excellent project management, communication, and cross-functional collaboration skills—comfortable operating in fast-paced, ambiguous environments with distributed teams. Preferred Qualifications CPA, CMA, or equivalent professional accounting certification. Experience in marketplace or platform business models with multi-sided revenue streams (buyer subscriptions, supplier fees, transaction commissions). Background in change management and organizational transformation—successfully leading teams through system migrations, process overhauls, or cultural shifts toward digital-first operations. Exposure to emerging finance AI technologies such as autonomous accounting platforms, generative AI for financial analysis, or natural language processing for contract extraction. Familiarity with API concepts, webhook integrations, and event-driven architecture to enable real-time financial data synchronization. Prior experience building or scaling finance operations from early-stage through Series B+ funding rounds or IPO readiness in SaaS companies. Why Join PartsBase Own the digital transformation roadmap for a global SaaS finance organization, with full autonomy to modernize systems, processes, and culture. High-impact, high-visibility role reporting directly to senior leadership with influence over strategic decision-making and company-wide initiatives. Work at the forefront of AI adoption in finance—pilot cutting-edge technologies and shape best practices for intelligent automation in SaaS accounting. Join a collaborative, innovation-driven team that values experimentation, continuous improvement, and professional growth in an industry-leading marketplace platform. Competitive compensation package with equity upside aligned to company performance and ARR growth milestones.

Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. We’re hiring a Staff Developer Advocate to own the Pinecone community—online and in-person—with a particular focus on building a strong SF/Bay Area presence. This role is for a senior, hands-on technical communicator who can build developer relationships at scale, run high-signal programs, and translate community needs into product feedback and compelling learning experiences. To succeed in this role, you must be able to build and teach with Pinecone’s AI products—showing developers how to create reliable, scalable AI applications where knowledge and retrieval are central. You’ll translate best practices into practical learning experiences through tutorials, short-form videos, docs contributions, hackathon mentorship, and social posts. Because the team and customer base are scaling quickly, you should be comfortable operating with high autonomy and strong judgment in a fast-paced environment. If you’re excited about: Learning new technologies and helping others succeed with that technology. Playing a central role in an exciting and rapidly expanding community. Shaping the course of a fast-growing company and product category. Working with colleagues who value clarity, creativity, passion, initiative, and thoughtfulness. Then we want to talk to you! Community Programs (Global) Lead and grow Pinecone’s Discord: drive engagement, improve onboarding, set norms, and keep the space high-signal. Run recurring office hours that consistently help developers unblock, learn best practices, and ship. Support and scale community programs that create real builder outcomes (templates, challenge weeks, help channels, expert AMAs). Events (SF/Bay Area) Own Pinecone’s SF-area community presence: local meetups, hackathons, and larger Bay Area events. Develop event programming (themes, speaker selection, talks/workshops), run promotion and attendance growth, and ensure each event produces reusable assets and follow-on engagement. Technical content + assets Create and maintain hands-on technical assets (sample apps, demos, code walkthroughs) aligned to Pinecone’s core developer use cases: RAG systems and retrieval quality Knowledge management patterns using Assistant and other incubating products Platform/infra patterns for scale and reliability Publish content across Pinecone channels and external platforms, grounded in what the community is actually trying to build. 8+ years of experience in a technical role such as software engineering, solution engineering, or machine learning. Proficient in 2+ programming languages. Owned and grown a technical developer community. Ran in person developer events end to end. Shipped demos and sample code and taught them clearly. Strong writing and live speaking and Q&A. Fluent in LLM apps and RAG and strong API instincts. SF based preferred with up to 20% travel. Comprehensive health coverage including medical, dental, vision, and mental health resources 401(k) Plan Equity award Flexible time off Paid parental leave Annual Company Retreat WFH Equipment Stipend Diversity, Equity, Inclusion and Belonging (DEIB) are the cornerstone of everything we do at Pinecone. Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in a job description. Our top priority is finding the best candidate for the job and if you are interested in the position, we would encourage you to apply, even if you don’t believe you meet every one of the qualifications listed in this posting. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Shape the Future of Blockchain—Bringing Business On-Chain We’re offering a unique opportunity to join Launch Legends (and Autheo) as a part-time Equity Cofounder. Founded nearly four years ago, Launch Legends is at the forefront of bridging Web3 blockchain technology with the next evolution of Web2 integration—bringing businesses on-chain through enterprise-grade solutions, DePIN innovations, and decentralized financial infrastructure. Our flagship project, Autheo, is an AI enabled Layer-Zero OS with an integrated Layer-1 blockchain and complete decentralized infrastructure thast includes decentralized compute, storage, identity, and service marketplaces, as well as a Full-stack development enveronment (DevHub)—engineered for scalable enterprise adoption, developer innovation, and real-world blockchain integration. Our Projects • Autheo – www.autheo.com, • Autheo Team - https://www.autheo.com/teams, • Launch Legends (Parent Company) – www.launchlegends.io, • Twitter: https://x.com/Autheo_Network About Autheo With nearly 100 equity cofounders from leading companies and institutions—many with advanced degrees and PhDs—Autheo is solving the critical challenges blocking business adoption of blockchain technology. Key Features: • Enterprise-Grade Layer-1 Blockchain – High-speed, self-securing, and cost-efficient infrastructure built for scale., • Developer Hub & Application Marketplace – A decentralized platform where developers build, deploy, and monetize real-world apps., • Web2-Web3 Integration – Microservices, SDKs, and governance frameworks for seamless business migration., • Decentralized Cloud & Compute – Secure, privacy-preserving storage and AI-powered compute for next-gen applications., • DePIN Infrastructure – On-chain networks powering real-world infrastructure ownership and resource sharing. Traction (Testnet Launch): • Wallet Accounts: 290,000+, • Twitter Followers: 30,000+, • Discord Members: 19,000+, • Smart Contracts Deployed: 30,000+, • Developers Registered for MVP DevHub: 7,500+ Compensation & Growth Path This is a part time equity / token-based cofounder opportunity. You will receive equity in Launch Legends, Autheo, and the WFO Creator Network, along with token allocations in the Autheo blockchain. We have already completed an initial financing round to support infrastructure and marketing, and are currently in discussions with VCs and crypto investors to fund expansion and salaries. Salaried compensation is expected to begin within 4 to 5 months, following our node, token sales or funding. ROLE: Node Sale Business Development Engineer (Web3 Only) Autheo – Validator Node Sale Program Equity • Tokens • 7% Commission (Full commissions begin post-funding) About the Role Autheo is launching one of the most advanced validator node programs in the blockchain industry as the first phase of a long-term, multi-category node ecosystem. Following the Validator Node Sale, Autheo will roll out successive node-sale platforms for Cloud Nodes, Compute Nodes, AI Nodes, DePIN Nodes, Entropy Nodes, and more. We are seeking a Web3-native Business Development Engineer to lead outreach, engagement, and conversions for the Validator Node Sale. This role is strictly for candidates already experienced in Web3—validator node sales, DePIN hardware, institutional staking products, L1/L2 node infrastructure, or Web3 business development. You will lead Autheo’s $3.5M validator node sale across retail buyers, institutions, DAOs, staking firms, crypto funds, and private purchasers. This role requires someone who can execute immediately with no introductory learning curve. Key Responsibilities • Lead and execute the full end-to-end sales cycle for Autheo validator nodes across retail, institutional, and strategic buyers., • Engage and convert inbound leads from social channels, community events, AMAs, Telegram groups, and referral pipelines., • Contact and convert partners who historically purchase nodes: staking firms, Web3 funds, infrastructure providers, DAOs, validator guilds, and DePIN operators., • Build and execute outreach campaigns across X/Twitter, Telegram, Discord, LinkedIn, and Web3-native networks., • Present Autheo’s validator economics, technical value, uptime requirements, and reward structures with authority and precision., • Maintain deep familiarity with Proof-of-Stake mechanics, unlock schedules, emissions curves, and network economics., • Coordinate with Marketing, Ecosystem, and Leadership to support targeted campaigns and convert warm communities., • Prepare institutional-grade presentations for $50K–$500K+ buyers., • Build a long-term pipeline of strategic node purchasers for Testnet and Mainnet expansions., • Track leads, commitments, forecasts, and conversions for weekly reporting. Requirements – Must Have • Direct experience selling validator nodes, miners, GPU clusters, staking products, or decentralized hardware., • Established Web3 business development network across infrastructure funds, validator guilds, staking firms, crypto VCs, node operators, and L1/L2 ecosystem communities., • Strong understanding of L1 validator architectures, Proof-of-Stake economics, token emission and unlock structures, and institutional validator operations., • Ability to sell complex technical products to both deeply technical and financially focused audiences., • High-energy closer with a proven track record in fast-paced, execution-driven Web3 environments. Nice to Have • Experience selling nodes in Cosmos, Polkadot, Avalanche, Solana, Aethir, or DePIN compute ecosystems., • Prior work at a staking provider, institutional validator, exchange, or Web3 infrastructure startup., • Strong Web3 presence on X/Twitter or validator communities. Compensation • Equity + Tokens, • 7% commission on all validator node revenue, • Performance bonuses tied to Pre-Sale and Public Sale milestones About Our Organization Autheo is a visionary technology company building the virtual machine platform that surpasses Ethereum EVM, Solana SVM, and all legacy execution environments with microsecond latencies, and mathematically proven security. Our mission is to create unbreakable execution infrastructure that empowers developers to build sovereign dApps, confidential DeFi protocols, secure enterprise solutions, and privacy-preserving AI systems. We are developing revolutionary technologies including Layer 0/1 blockchains with attack-resistant consensus, execution environments supporting encrypted computation, sovereign communication systems with perfect forward secrecy, and DePIN networks delivering 200GB/s secure compute. Backed by pioneering runtime leadership and a global team of elite systems engineers, cryptographers, and blockchain architects, Autheo is positioned to dominate the $300B+ smart contract execution market while establishing new standards for secure, scalable decentralized computation. Join us to build the execution foundation that will power the sovereign digital economy of the 21st century. 🌐 🚀 WHY JOIN LAUNCH LEGENDS? • Traction with Momentum: Autheo is already gaining significant traction in the blockchain space, with rapid developer adoption, platform growth, and partnership interest., • Cross-Industry Impact; Autheo is positioned to transform not only the Web3 ecosystem—but also Web2 and the broader technology sector—by enabling real-world business adoption of decentralized infrastructure., • Real Innovation, Not Hype: Unlike many blockchain ventures, Autheo is focused on substance over speculation. We are building real solutions: modular fullstack infrastructure, enterprise-grade toolkits, decentralized identity, cloud, compute, and service orchestration., • Backed by Elite Talent: You’ll join a team composed of professionals from top-tier universities, Fortune 500 companies, and major blockchain platforms. Our team includes multiple PhDs and senior engineers who have launched and scaled world-class technologies. If you're ready to redefine blockchain adoption, empower global business integration, and help shape the next generation of Web3 and developer ecosystems, we invite you to take the next step. Let’s build the future—together. _

The Integrations, Data Engineering, and AI (IDEA) team is a key part of Samsara’s Business Technology organization, driving innovation by leveraging data and AI. The AI team bridges research, technology, and business needs to strategically integrate AI-powered innovation throughout the organization. We develop practical AI solutions, ensuring seamless integration and impact. As an AI Engineer, you’ll work closely with architects, engineers and cross-functional stakeholders across Samsara to build AI-powered tools and maintain a robust AI infrastructure. This is a remote position in USA and Canada with working hours in appropriate local timezone. Relocation assistance will not be provided for this role. We’re looking for a hands-on AI Engineer with expertise in machine learning and generative AI to build and scale AI-driven business applications. This role involves: Rapid prototyping and iterative development of AI-based business applications and capabilities, with a focus on Generative AI Implement evaluation frameworks for AI applications that leverage foundational models. Applying software engineering best practices Providing production support, monitoring, and troubleshooting issues You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. Who You Are Possess a bias for action with a track record of solving technical challenges creatively Experienced in 0→1 MVP development and iterative prototyping Knowledgeable and experienced in leveraging LLMs, RAG and Agentic frameworks Passionate about staying up to date with AI trends and best practices Required experience and skills Bachelor's or Master's degree in Computer Science or related Engineering discipline. 5+ years of software development experience 3+ years working with large datasets and data pipelines Proven experience building Generative AI applications Strong software engineering fundamentals and SDLC best practices Proficiency in Python, Java, or equivalent Experience designing scalable APIs and microservices Cloud experience (AWS preferred, or GCP/Azure) Knowledge of LLMs, vector databases, and applied Gen-AI techniques and frameworks (RAG, Agentic AI orchestration, LangChain, Llama Index, etc) Experience shipping LLM-powered applications Understanding of prompt engineering and tuning Strong communication skills and ability to work in cross-functional teams

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out and connect with us on and _. Travel to Office expectationsFor Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings. For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. The RoleReporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare. You are a talented Senior Applied Researcher in AI / Machine Learning, looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care. Responsibilities- Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare.- Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions.- Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications- Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems. - Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed.- Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale.- Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization. Required Experience- Master's degree or equivalent experience in Computer Science, Math, Physics, Engineering, or a related field, with strong fundamentals in applied Mathematics, statistics, or machine learning.- Proven industry experience through multiple major product releases in a commercial SaaS environment.- Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).- Proficiency in Python. Proficiency in Java or other languages helpful.- Proficiency with SQL and data engineering for AI/ML applications.- Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)- Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.- Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.- Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale.- Strong communication and collaboration skills; comfortable working on a distributed team.- Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex). $178,000 - $198,000 a yearAt PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $178,000-198000 (not overtime eligible) + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.PointClickCare Benefits & Perks: Benefits starting from Day 1!Retirement Plan Matching Flexible Paid Time OffWellness Support Programs and ResourcesParental & Caregiver LeavesFertility & Adoption SupportContinuous Development Support ProgramEmployee Assistance Program Allyship and Inclusion CommunitiesEmployee Recognition … and more! It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact _ should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment. When you apply for a position, your information is processed and stored with Lever, in accordance with . We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.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.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify - and who make impactful changes to Home recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction. Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization. Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes. You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders. You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with PyTorch, Ray, Hugging Face and related tools is required. You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS. You care about agile software processes, data-driven development, reliability, and disciplined experimentation. We offer you the flexibility to work where you work best! For this role, you can be within the North America and EMEA region as long as we have_ This team operates within the Eastern Standard time zone for collaboration The United States base range for this position is $227,495- $324,993 equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.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. Find our AI notice here: https://lifeatspotify.com/ai-notice

PostgreSQL Full Stack Engineer Location: Remote East Coast based No Visa Candidates : Sorry only US Citizens and GC holders are eligible Job Description: As a Full Stack Engineer, you will play a critical role in the development and implementation of our AI-powered products. You will work closely with our team of engineers, data scientists, and designers to build scalable and robust solutions that meet the needs of our clients. This is a hands-on role that requires a strong understanding of both front-end and back-end development, as well as a passion for cutting-edge technologies. Key Responsibilities: • Collaborate with cross-functional teams to design, develop, and implement AI-powered products, • Write clean, efficient, and well-documented code for both front-end and back-end systems, • Participate in code reviews and provide constructive feedback to team members, • Identify and troubleshoot technical issues, and propose solutions to improve product performance and user experience, • Stay up-to-date with emerging technologies and industry trends, and make recommendations for their integration into our products, • Work closely with the product team to define and prioritize features and functionality, • Mentor junior engineers and contribute to the overall growth and development of the engineering team Qualifications: • Bachelor's or Master's degree in Computer Science or a related field from top Computer Science Programs, • 3+ years of experience in full stack development, with a focus on front-end technologies such as JavaScript, HTML, CSS, and React, • Strong understanding of back-end technologies such as Node.js, Python, and PostgreSQL, • Experience working at a startup up building products from 0 to 1, • Experience with machine learning and AI technologies is a plus, • Excellent problem-solving and analytical skills, • Strong communication and collaboration skills, • Fluent in English, Spanish language skills are a plus Why Join Our Team: • Be part of a dynamic and fast-growing startup that is shaping the future of AI technology, • Work with cutting-edge technologies and be at the forefront of innovation, • Collaborate with a diverse and talented team of individuals from around the world, • Opportunity for personal and professional growth and development, • Competitive salary and benefits package If you are passionate about AI and want to be part of a team that is making a real impact, we would love to hear from you. Apply now to join our team as a Full Stack Engineer and help our client build the future of AI technology.

At Tiger Data, formerly Timescale, we empower developers and businesses with the fastest PostgreSQL platform designed for transactional, analytical, and agentic workloads. Trusted globally by thousands of organizations, Tiger accelerates real-time insights, drives intelligent applications, and powers critical infrastructure at scale. As a globally distributed, remote-first team committed to direct communication, accountability, and collaborative excellence, we're shaping the future of data infrastructure, built for speed, flexibility, and simplicity. At Tiger Data, we turn PostgreSQL into the time-series data backbone for the physical world, from a single sensor to petabytes of machine and operational data,, and cloud providers (AWS, Azure, GCP) are one of the most important levers for scaling that impact. We’re hiring a Head of Cloud Alliances to own and define our hyperscaler partnership end-to-end. From how we show up in the ecosystem to how we drive real revenue through co-sell and marketplace. This is a builder role reporting into our VP of Product & Revenue. You’ll be responsible for turning cloud providers into a true growth engine. We’re not looking for someone to “manage partnerships.” We’re looking for someone who understands how AWS, Azure, and GCP actually work, how decisions get made, how field teams think, and how to position a product so it wins inside that ecosystem. You’ll start with AWS. When we get that right, you will build our Azure and GCP partnerships Location: This role is remote. We are open to candidates based in the United States. What you will be responsible for in this role: Owning and executing the AWS partnership strategy across co-sell, marketplace, and partner programs Defining how TigerData positions itself within AWS—including product alignment, messaging, and field engagement Building and scaling co-sell motions with AWS account teams and solution architects to drive qualified pipeline and revenue Driving AWS Marketplace strategy, including listing optimization, private offers, and deal acceleration Establishing a clear prioritization framework for AWS initiatives—what we invest in, what we ignore, and why Building deep, trust-based relationships with key stakeholders across AWS (partner org, field, product teams) Partnering with Product & Engineering to influence roadmap and integrations that strengthen our AWS position Aligning Sales, Marketing, and Product around a cohesive AWS-driven GTM motion Owning partner-sourced and partner-influenced revenue metrics and holding the company accountable to them Managing and mentoring a lean team (starting with 1 direct report) while staying deeply hands-on Identifying how AI within AWS (e.g., Bedrock, data/ML ecosystem) intersects with our product and partnership strategy Expanding into Azure/GCP eventually over time. You could be a great fit if you: Have 8+ years of experience in cloud partnerships, alliances, or strategic BD, ideally in infrastructure, data, or developer tools Have deep, first-hand experience working with AWS. You understand how partner, field, and sales motions actually work Have built or significantly scaled AWS co-sell and/or marketplace motions that drove measurable revenue Define clear targets for partner-led and partner-influenced revenue, track progress on a weekly basis, and take full ownership and accountability for delivering against those goals Are equally strong in strategy and execution. You can define the plan and also get deals across the finish line Have experience working with technical products (databases, data infrastructure, IoT, or similar) Can build credibility with both technical stakeholders and AWS business teams Are comfortable influencing exec-level stakeholders internally and externally Thrive in ambiguity and know how to prioritize high-leverage opportunities without overbuilding the process Have a clear perspective on how AI is changing the AWS ecosystem and how companies should adapt You might not be a great fit if: You’ve primarily worked on partner program execution rather than owning strategy and outcomes You haven’t worked closely with AWS field teams or driven co-sell deals directly You prefer managing large teams over being a hands-on operator You’re looking for a clearly defined playbook instead of building one We respond to every applicant. We review applications fairly and objectively, and shortlist based on relevant skills and experience. We ensure clear and timely communication throughout your candidate journey. We maintain a rigorous interview process with a high bar, designed to give you the opportunity to meet various team members you'll collaborate with across our organization. Tiger Data, formerly Timescale, sets the standard as the fastest PostgreSQL platform for modern workloads. Trusted by more than 2,000 customers across 25+ countries and powering over 3 million active databases, we enable developers and organizations to build real-time, intelligent applications at scale. Backed by $180 million from top-tier investors, Tiger Data is building the new standard for data infrastructure, built on PostgreSQL, designed for the future. 👉 👉 Want to get a feel for how we work and what we value? Check out our blog post:_ We embrace diversity, curiosity, and collaboration. Whether debating the perfect chicken nugget crunch 🍗, sharing workout routines 💪, or discussing your favorite plants 🌱 and pets 🐾, you'll find your community here. We don't require previous experience with our tech stack, but enthusiasm for learning is key. Our technologies include PostgreSQL, Tiger Cloud, AWS, Go, Docker, Kubernetes, Python, and innovative features like Hypertables, Hypercore, vector search, and real-time analytics. Learn more at or follow us on Twitter (Please note that benefits may vary based on country.) Flexible PTO and comprehensive family leave Fridays off in August 😎 Fully remote opportunities globally Stock options for long-term growth Monthly WiFi stipend Professional development and educational resources 📚 Premium insurance options for you and your family (US-based employees) Ready to join the future of PostgreSQL? We can’t wait to meet you. 🚀🐯

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a highly experienced Senior Data Scientist with a strong background in manufacturing, quality, and process optimization analytics. This role will focus on analyzing complex manufacturing and sensor data to drive measurable improvements in cost, quality, yield, and waste reduction. • Analyze large-scale manufacturing data, including sensor, batch, recipe, and production line data, • Develop analytics solutions to identify defects, scrap, rework, and process deviations, • Perform root cause analysis and multivariate process analysis to uncover drivers of quality issues, • Build anomaly and defect detection models to proactively identify process failures, • Partner with manufacturing, quality, and operations teams to translate findings into actionable improvements, • Deliver measurable outcomes such as cost reduction, waste minimization, and quality improvement, • 10+ years of experience in applied data science or advanced analytics, • 5+ years of hands-on experience in manufacturing, quality, or process optimization analytics, • Proven experience working with manufacturing process data and quality outcome data, • Demonstrated track record of delivering measurable business impact This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

About the Senior Data Engineer at Headspace: As a Senior Data Engineer at Headspace, you will help build the modern data platform that powers personalized, ethical, and scalable mental health support for millions of members. In this role, you will design and implement robust data pipelines, partner closely with analytics, data science, and engineering teams, and help create a secure, compliant, and privacy-focused data foundation. This is an opportunity to do high-impact work at the intersection of data, innovation, and mission—enabling smarter decisions, better member experiences, and the future of personalized mental health care. What you will do: • Contribute to architecture and implement robust data pipelines to ingest, aggregate, and index diverse data sources into the organization’s data lake, • Drive the creation of a secure, compliant, and privacy-focused data warehousing solution tailored to meet the healthcare industry’s stringent requirements, • Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting on key business metrics, • Collaborate with the data science and machine learning teams to build tools and capabilities that foster rapid experimentation and innovation, • Support peers and champion a culture that values data as a strategic asset across the organization What you will bring: Required Skills: • 4+ years of proven success designing and implementing large-scale data systems, • Strong understanding of core python, its tooling (pip, poetry, popular frameworks like pytest or pydantic), • Strong pyspark experience (dataframe API) and understanding of internal architecture and optimization techniques, • Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake, • Demonstrated expertise in architectural patterns for building high-volume ETL pipelines, • Experience with data modelling, Medallion architecture, pipeline design, metrics calculation and technical documentation, • Exceptional oral and written communication abilities, facilitating effective cross-functional collaboration, • BA/BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience Preferred Skills: • Experience in deployment and infrastructure management using Terraform is a plus, • Prior experience implementing governance, privacy, and security frameworks across a data platform, • Familiarity with the complexities of PII/PHI data, HIPAA, and biometrics data, • Experience migrating or working with DBT for transformations, documentation, and lineage tracking, • Experience in developing AI-ready architecture, such as creating semantic layers that standardize business logic for Agentic AI enablement Location: We are currently hiring this role in the US. Candidates must permanently reside in the US full-time and be based in these cities. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You’ll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model. Pay & Benefits: The anticipated new hire base salary range for this full-time position is $122,400-$195,500 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process. At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. About Headspace Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it. At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come. Why You’ll Love Working Here: • A mission that matters—with impact you can see and feel, • A culture that’s collaborative, inclusive, and grounded in our values, • The chance to shape what mental health care looks like next, • Competitive pay and benefits that support your whole self How we feel about Diversity, Equity, Inclusion and Belonging: Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out _ if you need any assistance completing any forms or to otherwise participate in the application or interview process. Headspace participates in the _. Privacy Statement All member records are protected according to our_. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship. As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm. For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice

Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network. This role is part of the AI Platform team, which owns the AI services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers. As a Senior AI Engineer, you will collaborate with machine learning engineers, data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build LLM-powered AI systems that efficiently uncover insights from compelling business interaction data – an exciting and unique opportunity within the industry. In this role, you will: • Build RAG systems: Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking and contextual compression techniques., • Build LLM powered agent systems: Contribute to design and orchestration of multi-agent LLM systems using community frameworks and custom orchestration layers., • Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data., • Collaborate cross-functionally: Partner with cross-functional (product, infra, data engineering, and software engineering) to build robust, high-scale systems that underlie all of our data processing and ML Operations. Qualifications Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Required: • 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production., • Hands on experience with LLM applications in production including prompt engineering and utilizing frameworks for online and offline evaluation, • Experience with LLM assisted search, such as query understanding and augmentation, text2sql, and entity extraction, • Experience with vector or graph databases, • Experience with document chunking, embedding models, and context window optimization, • Familiarity with metadata-based retrieval and re-ranking strategies, • Hands on experiences with model evaluation metrics (e.g. perplexity, hallucination rate, factual consistency), • Familiarity with data security, versioning, and MLOps principles Nice to Have: • Experience with enterprise AI applications with strict compliance, audit, or legal requirements, • Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvements., • Experience with multi-modal search, • Experience with graph based recommendation systems, such as graph NN., • Experience with developing AI applications powered by agent-based systems, • Experience with packaging, CI/CD and pipeline automation. Tech stack: Our ML pipeline manages multiple Python services that support various AI features, including utilizing OCR to extract information from unstructured data, serving embedding models to vectorize chunks, and ranking a list of recommendations based on relevance and user preference. How we work: Our culture is a key part of how we operate, as well as our hiring process: • We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers., • We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with., • We make data-driven decisions and make the best decision for the moment based on the information available. If you’d want to learn more about our values _. Work Location: San Francisco, New York, or US Remote (Affinity is registered to employ in certain U.S. states) For those located in San Francisco or New York, for this role we're embracing a hub-hybrid model, designed to balance flexibility with meaningful in-person collaboration. Team members within commuting distance are expected in-office 2–3 days per week, typically Tuesday through Thursday. We believe great things happen when people come together intentionally to connect, create, and build momentum as a team. What you'll enjoy at Affinity: • We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients., • Health Benefits: We cover your medical, dental, and vision insurance premiums with comprehensive PPO, HDHP and HMO options (in CA), and offer flexible personal & sick days to support your well-being., • Retirement Planning: We offer a 401(k) plan to help you plan for your future., • Learning & Development: We provide an annual education budget and a comprehensive L&D program., • Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness., • Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success. Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job. A reasonable estimate of the current range is $160,000 to $235,000 USD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. About Affinity With more than 3,000 customers worldwide and backed by some of Silicon Valley's best firms, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals. How? Our Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers to deliver automated relationship insights that drive over 450,000 deals every month. We are are proud to have received Inc. and Fortune Best Workplaces awards as well as to be Great Places to Work certified for the last 5 years running. Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed. We use E-Verify Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit _.

We are looking for Mid, Senior, and Lead Software Engineers to join our team at Prominent Edge. We are a small, stable, growing company that believes in doing things right. Our projects and the needs of our customers vary greatly; therefore, we always choose the approach and technology stack that best suits the particular problem and the goals of our customers. We, therefore, want engineers who do high-quality work, stay current, and are up for learning and applying new technologies when appropriate. We've been a 100% remote company before it was cool to be remote. We hire the best talent and always strive to exceed expectations. We leverage best-of-breed open source technologies to provide our customers with innovative user-centric solutions. We invest in our company culture and make sure that we have fun. We also have exceptional benefits. If this sounds like the type of environment in which you would thrive, and you qualify for the position below, please apply -- we’d love to hear from you! Visit our careers page () to learn more, and visit our work page to get an idea of the type of work we do (). \n Required Skills • US Citizenship required, • Experience as a Full-Stack Software Engineer experienced working in an Agile development environment, • Experience leading project teams through the full development life cycle, including requirements analysis, architecture, design, coding, testing, and delivery of solutions, • Front-end development skills using modern JavaScript frameworks, such as ReactJS/React Native, Angular, or Vue, • Backend development skills using server-side frameworks, such as NodeJS/Express, Flask, Django, or Spring, • Database skills (e.g., Postgres/PostGIS, SQLite, MySQL, SQL Server, Elasticsearch, MongoDB, Redis, etc.), • Excellent interpersonal and communication skills, • Self-motivated, results-oriented, and team player, • BS degree in Computer Science or related field, or equivalent work experience Additional Skills (“Nice to Have”) • Open source geospatial technologies, such as Mapbox GL, GeoServer, etc., • Data visualization using technologies such as Kibana, Tableau, D3, etc, • Containerization and container orchestration, preferably using Docker and Kubernetes, • Cloud computing, especially using AWS services such as S3, RDS, SQS, EMR, or Kinesis, • Serverless approaches, preferably using AWS Lambda and Serverless Framework, • DevOps and Continuous Integration / Continuous Delivery (CI/CD), using technologies such as Jenkins or AWS CodeBuild, • 3D web experience using technologies such as CesiumJS, WebGL, Unity, or Unreal, • Advanced technologies (machine learning, computer vision, image processing, data mining, data analytics), using tools such as TensorFlow, PyTorch, or Apache Spark, • Scrum Master, • Advanced degree (MS or MBA), • Active (or open to) Security Clearance Benefits • 3 weeks paid time off per year + 10 Holidays, • Six percent 401k matching, vested immediately, • Comprehensive health care plan(s) with nationwide coverage for you and your family, • Flex time (i.e., adjust your hours to fit your schedule), • Paid training, courses, and conferences, • Laptop upgrades, • Work from the comfort of your own home!, • This organization participates in E-Verify \n