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Overview: WHY COOLSYS? At CoolSys, we offer more than just a job—we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America’s Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: • Competitive Compensation: Competitive pay from $35-50 hourly DOE, • Sign on Bonus up to: $3k DOE, • Ongoing Education & Training: Access to state-of-the-art facilities and paid online training., • Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K) match., • Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing., • Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: This position is responsible for assisting in the repair and overhaul of equipment, refrigeration, heating, and ventilation equipment to ensure customer needs are met efficiently, accurately, and on time. • Provides service to the customer base by repairing and overhauling equipment, such as compressors, water pumps, air handlers, electrical and mechanical control devices that exceed the customer’s expectations., • Provides general repair work on refrigeration, heating and ventilation equipment, such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors, • Provides preventative maintenance activities for customers by diagnosing equipment malfunction and any operating deficiency of the mechanical equipment to ensure quality work performance for the customer base., • Provides department support by processing job tickets, work orders to the necessary department in a timely manner., • Provides necessary training to new or less qualified technicians as needed., • Maintains proper truck inventory continuously and drives company vehicle in a safe manner., • Performs other duties as assigned. Qualifications: High school diploma or GED, equivalent work experience and trade or technical school classes. Valid EPA certificate. • 5+ year's experience in commercial HVAC, refrigeration, and electrical required., • Basic knowledge of refrigeration, HVAC, ice machines, gas furnaces, and electrical., • Experience working on refrigeration equipment in convenience stores or supermarkets a strong plus., • Knowledge of components of single systems and rack systems along with previous work on display cases and walk-in boxes., • Must be able to lift up to 60 lbs. with no assistance and be able to sit and/or stand for several hours at a time., • Valid driver’s license., • Good driving record., • Ability to understand and follow all company policies and procedures and all applicable State and Federal laws., • Ability to use typical business tools including E-Mail, Word, Excel, etc. Join Us: Today, there are 27 different companies that make up the CoolSys family of brands. Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on and . CoolSys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. CoolSys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance.

Job Description Build your best future with the Easy Ice team- Cool Careers Start Here! We’re a growing company that provides an all-inclusive commercial ice machine subscription to business owners nationwide. We’ve been changing our industry for the better since we started in 2009, and we’re not slowing down anytime soon. As a member of our team, you’ll be helping restaurants, bars, hospitals, hotels, and other businesses get the ice they need without spending a fortune or stressing out. We’ll invest in your professional development and overall quality of life because we know employee satisfaction is key to our success. Easy Ice doesn’t just want to be the #1 commercial ice machine solution in America—we also want to be one of the best places to work. Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience, focused on supporting their physical, financial, and emotional wellbeing. Become a member of the Easy Ice team and thrive in an empowering company culture where your voice and ideas will be heard – your next great opportunity is just a few clicks away! What we offer • Competitive pay, • Company Vehicle & Cell Phone, • Excellent Medical/Dental/Vision/Group Life, • 401k Company Match, • PTO and Holiday Pay, • Fitness Membership Reimbursement, • Hands on experience that promotes a growth-oriented culture, • Personal growth opportunities which encourages employees to “think outside the box”, • Challenging and meaningful work that fosters learning and development, • Fun fast-paced company culture and work environment, • Collaborative team environment to support and mentor each other, • Check us Out: Easy Ice What you will do: The Technician II is an exciting and dynamic position that will appeal to a creative, resourceful, high-energy, and organized person who thrives in service-oriented and customer-facing situations. The Technician II is a vital member of the Easy Ice service team, responsible for ensuring the optimal performance and reliability of ice machines through proficient installation, cleaning, maintenance, and troubleshooting. The ideal Technician II is results-oriented, driven by a passion for delivering exceptional customer service, and possesses a strong work ethic that inspires collaboration and excellence among colleagues. The Technician II will focus on maximizing equipment lifespan, minimizing service calls and emergency ice purchases, and ultimately enhancing customer satisfaction and loyalty. Key responsibilities include providing outstanding service and support during on-site visits, forging positive relationships with customers, managing installation and repair tasks, accurately diagnosing and resolving technical issues, training and support of less experienced technicians, and completing detailed service reports to improve future service quality. The Technician II will also maintain proper truck stock and supplies during field operations, maintain company vehicles in accordance with established policies, and uphold the Easy Ice brand image with professionalism and positive engagement. The successful candidate will embody a flexible, self-motivated approach to work, thrive in a fast-paced environment, and be dedicated to fostering a strong team dynamic while contributing to overall business growth and success. A successful Technician II will drive the following outcomes: • Deliver exceptional service that fosters positive relationships with customers, ensuring they are consistently satisfied with both the quality of service and the performance of their ice machines, • Perform thorough installation, repair, maintenance, cleaning, and troubleshooting of ice machines to improve their performance and longevity, thereby reducing the frequency of service calls and emergency ice purchases, • The Tech II may be required to lead the installation process, driving excellence by exceeding customer expectations with accurate, timely, and efficient installation of ice machine equipment, • Accurately diagnose and resolve technical issues on the first visit, minimizing downtime for customers and enhancing their overall experience, • Achieve or exceed performance metrics related to service response times, resolution rates, and customer feedback, demonstrating accountability and commitment to excellence Demonstrate flexibility in work schedules and adapt to changing operational demands while actively seeking opportunities for personal and professional growth within the field. How you will do it: • The Technician II is a progression from Technician I. All levels of Technician - I, II, and III, are responsible for the installation, cleaning, preventative maintenance, trouble shooting, and repair of ice machine equipment as required. This may include bagging/delivering ice, or other duties as assigned., • Install, clean, maintain, troubleshoot and install Easy Ice equipment, with the goal to increase equipment life and reliability, reduce service calls, and reduce emergency ice purchases, • Provide service and customer support during field visits with a strong emphasis on building positive relationships with customers, • Train and mentor less senior technicians as required, • Manage on-site installation, repair, maintenance and test tasks, • Diagnose errors or technical problems and determine proper solutions, • Communicate effectively with coworkers and customers to ensure all work orders and assignments are completed on time and per Easy Ice standard operating procedures, • Accurately document all actions performed during service visits by taking required photos, completing forms, reports, logs, and maintaining clear records of maintenance activities, • Ensure proper truck stock at all times, avoiding unnecessary return trips and delays in customer service, • Manage the pickup and delivery of ice as needed for service calls, ensuring timely and efficient service for customers, • Facilitate the processing of accurate payments from customers and assist in the proper shutdown or removal of equipment when necessary, • Assist in maintaining a clean, organized, and safe work environment in the shop when applicable by adhering to all safety protocols and cleanliness standards, • Ensure vehicle cleanliness and organization, removing all ice and trash at the end of each shift to improve safety and to uphold a professional appearanceWhat we are look for: Education: High school diploma or general education degree (GED) Vocational/Technical Training preferred Experience: • 1+ year experience in the diagnosis and repair of commercial equipment (prior experience with refrigeration, electrical, HVAC, ice machines, or related equipment), • EPA 2 Certification, • Working knowledge of mobile tools and applications, • Experience in and the ability to demonstrate volt meter operations, • Ability to work a full-time schedule which includes a rotating on-call schedule, • Strong communication skills to effectively interact with customers and team members, • Problem solving abilities and a proactive approach to addressing repair and maintenance issues, • Ability to manage time effectively and prioritize tasks to ensure service calls are completed in a timely manner, • Skills in maintaining organized records and documentation of service activities, • Demonstrated track record of delivering highest level of customer satisfaction Certificates, Licenses and Registrations: • EPA 2 Certification Additional Required Attributes:, • High-energy individual with a positive attitude and strong commitment to customer satisfaction, • Willingness to learn and adapt to new technologies and service protocols in the field of ice machine repair and maintenance, • Strong work ethic and dedication to new technologies and service protocols in the field of ice machine repair and maintenanceWork Environment and Physical Demands:, • The employee is often required to stand; walk; sit; use ladders; use hands to manipulate, handle, or feel surfaces, parts and tools; reach with hands and arms and stoop, kneel, crouch, or crawl, • Occasionally lift and/or move up to 75 pounds, • Stands for extended periods of time (6+ hours per day), • While the noise level in the work environment is usually somewhat quiet, the worker may be subject to elevated noise levels, • Drive a vehicle for up to 60 percent of the hours worked, • Ability to work flexible shifts and adapt to changing work schedules The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be an exhaustive list of all job duties performed by the personnel so classified. Easy Ice is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information or any other characteristic protected by applicable federal, state or local laws.

Job Description MACHINIST — LAD ENGINEERING | LANSING, MI | $19–$32/HR Most CNC shops hire you to run a machine. That's it. Show up, hit the green button, go home. That's not this job. LAD Engineering is a precision CNC job shop, ISO 9001:2015. We make parts for government contractors and manufacturers — and the programs our parts go into can't absorb a bad one. If we ship junk, somebody downstream eats it. So we don't ship junk. We're hiring a machinist now. Two or three years from now, we want that same person reviewing quotes and owning the schedule. If that doesn't sound like you — keep scrolling. If it does, read the rest carefully. THE PATH Here's the comp, the timeline, and what you have to do to move. • Machinist – Training (Months 1–3): $19–$21/hr. You're learning how we do things. How we set up. How we document. What a finished part looks like when it leaves a bench here., • Machinist – Performing (Month 3+): $21–$24/hr plus performance incentives. You're running jobs on your own. The incentives pay out on parts that ship on time and don't come back., • Machinist – Senior (Month 12+): $24–$26/hr plus incentives. Top earners at this level clear $28–$30/hr., • Lead Machinist (when you've earned it): $26–$32/hr plus incentives. Reviewing quotes. Owning the schedule. Training the newer machinists. And still on a machine when the work demands it. This is a ladder, not a job. If you're not climbing it, we're not the right shop for you — and we'd rather say that now than two years from now when you're stuck and we're both frustrated. Compensation: $19 - $32 per hour Responsibilities: • Set up, operate, and program CNC mills and lathes to produce parts to customer specifications — correct the first time., • Read and interpret customer blueprints accurately and independently, without hand-holding., • Measure precisely using micrometers, calipers, gauges, and other instruments — catch your own errors before they run., • Follow shop travelers, ISO 9001:2015 QMS documentation, and safety protocols without reminders., • Communicate immediately when something is off — a problem caught early is manageable; one buried until shipping is a crisis., • Maintain a clean, organized machine and work area that reflects your standards., • (Lead) Review quotes and jobs for technical accuracy before they go to the customer or hit the production floor. Qualifications: Required: • Experience in a CNC machine shop (mills, lathes, or similar) OR close to completing a machining program at CNM or equivalent trade school., • Ability to read and interpret engineering blueprints., • Reliable transportation — 7 am start is consistent., • Ability to lift 80 lbs unassisted. You do NOT need: • Years of experience — we'll train the right mechanically sharp person., • GibbsCAM specifically — other CAM system experience is acceptable., • A degree of any kind. About Company LAD Engineering is a precision CNC machine shop built around one idea: we solve complexity. When engineers need parts that are hard to manufacture — tight tolerances, unusual geometries, materials that fight back — they come to us. We prototype. We go to production. We ship custom parts and assemblies to customers across the United States. ISO 9001:2015 certified. We're a small team with high standards and a clear direction. The people here give a shit about the work, communicate directly, and hold each other accountable in a way that makes the shop better. We're in the process of building a team and a reputation that will precede us — and every hire right now is part of that foundation.

Job DescriptionAI & Machine Learning Engineer - AI TrainingAbout Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI and Machine Learning Engineers to join our Expert Network to help train and evaluate the next generation of LLMs using deep technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning., • Professional Experience: experience building, deploying, or fine-tuning ML models in a production environment., • Deep Learning Mastery: professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques., • LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows., • Technical Rigor: the ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms., • Analytical Critique: high attention to detail in spotting "hallucinations," biased outputs, or logical failures in AI-generated technical content. What you'll be doing in the role • Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy., • Audit Code & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness., • Refine RLHF Frameworks: provide the high-quality human feedback necessary to align models with human intent, safety, and helpfulness., • Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts and identify where the reasoning breaks down., • Benchmark Performance: conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics. Key Technologies • Frameworks: expert proficiency in PyTorch or TensorFlow/Keras., • Language & Data: advanced Python (NumPy, Pandas, Scikit-learn) and experience with Hugging Face Transformers., • Cloud & MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain., • Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation.Why Prolific is a great platform to join as a Participant Joining our Expert Network will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.Click here to apply directly - https://app.prolific.com/register/participant/waitlist/?campaign_code=C14EMWJILinks to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Job DescriptionAccounting Professionals - AI TrainingAbout Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Accountant Subject Matter Experts to join our Expert Network to help train and evaluate cutting-edge AI models using professional accounting insight. If you have an accounting background, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific's Accounting Projects as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay between up to $60 per hour depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Accounting Background: you have an accounting degree, professional qualification (ACCA, CPA, ACA, CIMA etc.), or relevant experience as an accountant., • Attention to Detail: the ability to review complex documentation and identify key nuances or inaccuracies., • Critical Thinking: an "accounting mind" capable of providing logical, fact-based reasoning to support your answers., • Reliability: the ability to work independently on ad hoc, remote assignments that fit around your existing commitments., • A PayPal account to receive payment from our clients What you'll be doing in the role • Document Evaluation: Reviewing complex financial statements, audit reports, and regulatory filings to ensure data integrity., • AI Model Guidance: answering specific questions based on document content to help AI models understand technical or formal language., • Fact-Checking & Validation: ensuring that the outputs generated by AI systems align with professional standards and logical accounting frameworks., • Knowledge Sharing: providing expert feedback to help bridge the gap between human expertise and machine learning. Key Technologies • Prolific Platform: the secure workspace where you will access and complete your assignments., • LinkedIn: used solely for a quick professional eligibility check during onboarding., • Standard Web Tools: secure access to document-viewing software as required by specific projects. Why Prolific is a great platform to join as a Participant Joining our Expert Network will give you the chance to influence the AI models of the future using professional accountancy expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Apply directly here: https://app.prolific.com/register/participant/waitlist/?campaign_code=C17MYYC0 Links & Privacy Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific's use of your personal information.

Job Description We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions. Responsibilities: • Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards., • Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance., • Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support., • Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight., • Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools., • Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities., • Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments., • Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews., • Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems., • Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value. Other duties as needed

Job DescriptionLegal Professionals - AI Training About Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Legal Subject Matter Experts to join our Expert Network to help train and evaluate cutting-edge AI models using professional legal insight. If you have a legal background, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific's Legal Projects as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $100 per hour, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Legal Background: you have a legal degree, professional qualification (JD, LLB, LLM), or relevant experience as a paralegal or legal analyst., • Attention to Detail: the ability to review complex documentation and identify key nuances or inaccuracies., • Critical Thinking: a "legal mind" capable of providing logical, fact-based reasoning to support your answers., • Reliability: the ability to work independently on ad hoc, remote assignments that fit around your existing commitments. What you'll be doing in the role • Document Evaluation: reviewing various professional, regulatory, or B2B documents to verify information accuracy., • AI Model Guidance: answering specific questions based on document content to help AI models understand technical or formal language., • Fact-Checking & Validation: ensuring that the outputs generated by AI systems align with professional standards and logical legal frameworks., • Knowledge Sharing: providing expert feedback to help bridge the gap between human expertise and machine learning. Key Technologies • Prolific Platform: the secure workspace where you will access and complete your assignments., • LinkedIn: used solely for a quick professional eligibility check during onboarding., • Standard Web Tools: secure access to document-viewing software as required by specific projects. Why Prolific is a great platform to join as a Participant Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Links & Privacy Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific's use of your personal information.

Requisition Number: 28988 Required Travel: 11 - 25% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $84,011.00 - $120,000.00 Security Clearance: Secret Level of Experience: Mid HI This opportunity resides with All-Domain Operations (ADO), a business group within HII's Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations. HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe. Leadership Mindset at HII - Mission Technologies Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes-regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities: • \nKnow & Grow Your People - Commit to learning and supporting team success., • \nBuild Relationships - Communicate openly, collaborate well, and build trust., • \nTake Ownership - Deliver on commitments and take pride in your work., • \nCustomer First - Focus on the mission and those we serve., • \nShape the Future - Bring ideas, curiosity, and continuous improvement., • \nAct with Urgency - Take initiative and follow through with purpose. These capabilities guide how all employees contribute to our shared success across Mission Technologies. Who We Are HII - Mission Technologies is seeking a skilled Technical Writer and Editor to join a collaborative team of writers, editors, and production designers dedicated to producing high‑quality technical documents. The ideal candidate will ensure all written materials are clear, accurate, and fully aligned with client guidelines. This position plays a key role in maintaining the quality and credibility of contractor‑generated products that directly support mission‑critical work. The primary responsibility of this role is to proofread technical documents-including test plans, reports, studies, and briefing materials-checking for grammar, spelling, punctuation, syntax, and adherence to required style guides. Materials may be classified or unclassified, requiring meticulous attention to detail and strict compliance with security protocols. Additionally, the position manages the organization's document library by creating abstracts, updating the document archive database, and digitizing historical documents. Due to the classified nature of the work, all duties will be performed on‑site at the client's office on Kirtland AFB, with no telework options available. What You Will Do • Review and revise content for accuracy and quality, including spelling, grammar, punctuation, and syntax, • Collaborate with a multidisciplinary team of analysts, engineers, technical editors, and production staff to ensure content is consistently developed and published in a timely manner, • Ensure content maintains the correct tone, voice, clarity, flow, and overall structure to support effective communication, • Verify that all content adheres to established in‑house style guides and organizational standards., • Stay abreast of the latest content trends and best practices, • Compiling and updating style guides as required, • Managing and maintaining a Production Library of electronic and hard copy documents across multiple classified systems\n What We Are Looking For • 10 years of relevant experience with bachelor's in related field; 8 years of relevant experience with master's in related field; or High School Diploma or equivalent and 14 years relevant experience, • Demonstrated minimum of 5 years of experience proofreading others' work and providing clear, constructive feedback to improve accuracy and quality, • Active Secret Clearance, • Ability to obtain and maintain a Top Secret Security Clearance with active SCI, • Excellent written and verbal communications in the English language, • Proficiency with desktop publishing software such as Adobe products and Microsoft Office suite, • Ability to manage time and effort across multiple simultaneous projects, • Highly organized and detail oriented\n Preferred: Bonus Points For... • Active TS/SCI Clearance, • Bachelor's Degree in Journalism or English, • Experience with Government writing focused on a Senior-Leader audience, • Proficiency with applying principles of style guides, such as the Government Publishing Office (GPO) and Department of Defense (DoD) Issuance Style Guide, • Experience in DoD Knowledge Management activities #LI-DK1 Physical Requirements Job performance will normally require only minor lifting and carrying of boxes of records or equipment. The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills. 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 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 [email protected] 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.

is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, _ turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Position Overview: We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment. What You’ll Do: • Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products., • Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions., • Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions., • Establish and maintain best practices for data collection, analysis, and reporting., • Deliver actionable insights and recommendations focused on landing tangible product impact., • Help foster a culture of data-driven decision-making and continuous improvement within the product teams., • Ensure the integrity and accuracy of the data used for analysis and reporting., • While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable. What You Bring: • Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data., • Expertise in translating complex data into insights that are actionable for cross-functional teams., • Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience., • Experience in building and maintaining reliable analytics infrastructures., • Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders., • Experience with 0 to 1 product initiatives is a plus, though not required., • A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment. Qualifications: • Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience., • Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required., • Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required., • Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus., • Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential., • Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals. The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits. Tier 1 Pay Range (San Francisco, New York City, Seattle) $160,000 - $200,000 USD Tier 2 Pay Range (All other US Locations) $140,000 - $176,000 USD Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more _

IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact every area of human society for the better. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is at the forefront of this technological revolution. We are looking for a Senior Quantum Field Engineer for our US Federal business. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems. Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact. Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. Responsibilities: • Inspire and co-engineer solutions with the US Intel Agencies by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications., • Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain., • This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team., • Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products., • Navigate competitive objection handling, • Translate business needs expressed by our clients into technical work projects in collaboration with other team members., • Create assets to explain features of our quantum applications and other IonQ quantum products., • Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows., • Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team, • Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large., • Attend industry conferences, as needed, to talk to client and support our booth activities., • This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first. You’d be a good fit with: • 10+ years of experience in technical customer-facing role or equivalent capacity. The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer-facing skills are critical., • US Citizen, with Top Secret (TS) / Sensitive Compartmented Information (SCI) clearance required, with a full scope polygraph preferred, • 5 years of focused experience with technology companies that support US Intel Agencies, • Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering, • Motivated learner with a strong interest in quantum computing., • Mission oriented person - driven to help the US Federal Government Intel agencies You’d be a great fit with: • Masters or PhD in a STEM field, perhaps adjacent to quantum computing., • Time on the customer side in various verticals included leadership roles - this provides customer empathy, • Hands-on experience with Qiskit, Cirq or other quantum computing SDK., • Proficient in Python and Jupyter Notebooks., • Expert architecture skills across various technologies (“full stack skills”), • Experience leading technical events. Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US or Canada. Travel: Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities. Job ID: 1311 The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity. Compensation will vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Posted base salary figures are subject to change as new market data becomes available. Beyond base salary, total compensation includes a variable bonus and equity component and a range of benefit options found on our career site at _. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. Our US benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, a home internet stipend, and pet insurance! IonQ's HQ is located in College Park, Maryland, just outside of Washington DC. We are actively building out our recently opened manufacturing and production facility in Bothell, WA (near Seattle). Depending on the position, you may be required to be near one of our offices in College Park, Seattle, Toronto, Canada, and Basel, Switzerland. However, IonQ will expand into additional domestic and international geographies, so don’t let this stop you from applying! At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!

Tidepool is a 501(c)3 nonprofit organization on a mission to make diabetes data more accessible, actionable, and meaningful for people with diabetes, their care teams, and researchers. Founded in 2013, Tidepool hosts a suite of free software tools for people with diabetes and the clinics that serve them, including Tidepool Web, Tidepool Mobile, Tidepool Uploader, and, pending submission to FDA and associated review, Tidepool Loop. Learn more at tidepool.org. Follow us on Twitter at and on and _. As a Senior Product Designer at Tidepool, you will work fluidly and collaboratively with product managers, engineers, sales, healthcare professionals and patients to make meaningful contributions to Tidepool and the diabetes community. This role calls for a designer who is passionate about understanding and advocating for patient and clinician needs, thrives in ambiguity and technical complexity and is excited about defining the vision and user experience for Tidepool’s Data Management Platform. Essential Duties and Responsibilities: Product Design Lead design projects across Tidepool’s Data Management Platform as well as new products in development. Translate broad need statements from patients and healthcare professionals into meaningful designs, balancing usability with safety regulations and technical considerations. Communicate your data-informed vision and design rationale, that has users at the heart of it, to stakeholders and team members in a compelling way. Partner closely with product, engineering and quality assurance engineers to drive design decisions and advocate for our users. Solve a variety of product design challenges across iOS, Android, web and mobile web. Build and manage a comprehensive design system and component library to maintain consistency. Plan, design and lead a wide range of user research, including exploratory interviews and task-based usability testing. Break down experiences thoughtfully for teams to ship value incrementally (from Minimum Valuable Experience to Desired Experience), making intentional trade-offs that are grounded in a clear perspective. Develop deep understanding and empathy for people living with diabetes and healthcare providers and leverage that feedback to push for product refinement/improvement. Leadership & Mentorship We expect experienced product designers at Tidepool to support the product manager as a leader on the team, interfacing with external partners, guiding newer team members and creating alignment across teams to move a project forward. Provide guidance and mentorship to less experienced design team members, interns and contractors. Support the recruitment and hiring of multi-disciplinary design / product team members. Help shape the culture of our growing design team. Lead co-creation workshops as part of the analysis and design of new processes for internal and external teams. Product Thinking We expect experienced product designers at Tidepool to work closely with product managers to craft experiences that have the intended impact on their users through novel feature discovery, feature enhancement or collaborative feature definition. Work closely with the product manager to define new feature concepts and influence the product strategy by establishing product and feature priorities. Proactively manage prioritization challenges with your product team to ensure design focus areas are aligned with business goals. Comfortable taking on roles outside of traditional design, including product management. Develop expertise in various diabetes hardware and software technologies in order to create impactful design solutions. We would love to consider you for this role if you have: 6+ years of experience as a senior product designer or interaction designer or equivalent experience in visual design, experience design, etc. A strong portfolio that demonstrates your practice of a design process solving problems for mobile and responsive web platforms. Experience in healthcare, wellness or medical device industries Experience executing designs in regulated, technical, or workflow-heavy domains with complex data and hardware constraints Track record of project leadership, creative thinking, and cross functional collaboration in support of influencing product features including 0→1 Experience working in Tidepool’s task management system, Jira, to conduct design reviews and leave design feedback for engineers. We love: Experience designing data-rich experiences, including data visualization and dashboards that help people understand and act on complex information. Experience designing for generative AI, LLMs, or machine learning interfaces Designers that work independently to explore concepts from beginning to end, yet also seek out feedback loops with your ideas. Experimentation with AI powered tools like Figma AI and Midjourney A secret design sauce that you bring to every design team you’re on Compensation: The annual compensation range for this role is 133,000 to 180,000. To learn more about Tidepool's compensation philosophy please see _. Time Zones and Locations: You can work from anywhere within the United States. Occasional early mornings and evenings may be requested due to the need for overlapping business hours. Our Benefits package for full-time employees includes: Flexible PTO Paid Parental Leave Medical, Dental, and Vision coverage Health and Childcare FSA Flexible work schedule Continuing Education Reimbursement Other benefits Other Information While many of Tidepool’s team members have a personal connection to diabetes, this is not a requirement. We do ask that you have empathy for chronic conditions and you are prepared to learn about the diabetes experience. Research has shown that people who identify as women are less likely to apply for a role if they don’t fit every requirement in the description. We encourage you to apply if you think you’re a good fit even if you don’t fit the description perfectly. This is a remote position – you’ll be working from home and interacting with a team that works around the world. Learn more about working at Tidepool, including our approach to inclusion and diversity on_. Does this sound like you? We’d love to hear from you! Tidepool is an Equal Opportunity Employer. The company supports diversity and inclusion in its core values and does not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by U.S. federal or state law or local ordinance. When necessary, the company will reasonably accommodate employees and applicants with disabilities if the person is otherwise qualified to safely perform all of the essential functions of the position.

We are a development, data science and design studio that works closely with founders and executives to create custom software and machine learning solutions. AE Studio is an LA-based company focused on increasing human agency by making the AGI future go well. We believe alignment is solvable; people just haven’t tried hard enough. For us, that means focusing on neglected ideas that could unlock major breakthroughs. We’ve spent over a decade helping clients, from startups to companies like Samsung, Walmart, Berkshire Hathaway, and Goodfire, solve complex technical problems and bring ambitious products to life. We apply the same structures to research. Instead of a client, we partner with visionary researchers exploring neglected alignment ideas. We’re a full-stack R&D group combining engineering, science, and product capability. This puts us in a unique position to move quickly and make real progress on one of the most important problems of our time. We're fully bootstrapped. We don’t rely on venture capital or private equity. Profits from our client work go directly into internal Skunkworks projects, technical research, and policy engagement. This gives us the freedom to pursue high-risk, high-upside ideas that typical funding models neglect. We can commit to long-term bets without being constrained by short grant cycles or investor timelines. Our alignment efforts include in-house work, alignment clients like Goodfire AI, and collaborations with Redwood Research and researchers at Anthropic and DeepMind. In the past, we also led pioneering research in brain-computer interfaces, and we continue to expand our scope as the stakes rise. If you care about actually solving alignment and want to build, we want to talk to you! We’re hiring a strategic and technical operator to lead execution across research and product efforts. You’ll turn abstract ideas into clear roadmaps, keep teams moving, and ensure progress is visible and aligned with goals. You’ll own high-leverage projects from end to end. Some may be internal Skunkworks efforts. Others may involve clients, grants, or research partners. You’ll help us explore neglected AI alignment ideas, technical bets, or automation pipelines, and move them from concept to real-world impact. We’re hiring Project Runners—entrepreneurial, AI-fluent product leaders who can own delivery for high-stakes projects from end to end. You’ll be embedded in fast-moving teams, often at the intersection of cutting-edge AI, product-market fit exploration, and enterprise execution. This is a hybrid role: part technical PM, part AI architect, part founder-in-training. You’ll run client or internal projects with excellence, polish, and hustle—while building the skills to one day launch or lead a company of your own if AGI doesn't kill everyone. Own AI and Software Projects E2E driving projects from kickoff to launch across generative AI, automation, agent orchestration, or custom tooling. Own delivery and outcomes. Act as Product Owner and Team Lead, translating vague ideas into tested hypotheses. Define scope. Prioritize fast. Build what matters with devs, designers, and researchers. Be Enterprise-Ready to communicate clearly with demanding clients. Align stakeholders. Set expectations. Bring confidence and clarity to complex discussions. Build with AI Tools (Not Just Manage). You’re fluent in LLMs, LangChain, RAG stacks, vector search, OpenAI APIs, fine-tuning, or similar. You prototype and validate with your own hands. Work like a Founder while navigating ambiguity, wearing multiple hats, and making hard calls. Build with urgency and care. Take extreme ownership and find leverage. Spin Off (Eventually) - AE supports startup spinouts. You’ll have the opportunity to become CEO or CTO of a venture—either something you incubate here or that AE backs you to lead. • Proven experience in product leadership, AI product development, or startup building, • Strong understanding of generative AI stacks, LLMs, vector DBs, and APIs, • Entrepreneurial mindset: bias toward action, scrappiness, and experimentation, • Strong communicator: clear with clients, inspiring with teams, strategic with stakeholders, • Ability to lead cross-functional teams and ship without waiting for permission, • Preference for small teams, 0→1 problems, and real-world results over theory, • Experience working in consulting, agencies, startups, or early-stage ventures, • Prior founder/operator experience or deep desire to build a venture, • Experience building prototypes or MVPs in AI/no-code/low-code, • Exposure to AGI-aligned thinking or AI safety concepts, • Fluent in user research, iterative development, and lean experimentation, • Network or domain expertise in areas where AI can unlock 10x value, • High client satisfaction and consistent delivery on ambitious timelines, • Impactful prototypes that create real business value, • AI capabilities implemented in useful, reliable ways Spinout ventures launched or accelerated based on your leadership • Growth in your leadership path: from Runner → Director → CEO/CTO, • Not a project babysitter. You ship. You lead. You own., • Not a slide deck creator. You prototype, you test, you build real things., • Not a solo act. You bring others along, unblocking and collaborating effectively., • Not a corporate PM. You’ll get your hands dirty in tools, code, and strategy., • Build cool things using the coolest and more modern tools and actually ship it, • Work alongside top 0.1% engineers, researchers, designers, and founders, • Access to AE’s internal ideas, capital network, and spinout playbook, • Grow into a founder with guidance, support, and real projects to prove yourself on Salary range from $120k/year to $220k/year. Not in the range? That's fine, you can still apply and our team may fit you in a more senior position that we're not actively hiring right now, but we are growing fast and may have other openings soon. This range considering people based in California EQUITY Working at AE means receiving equity in our client projects and in Skunkworks ventures. The equity is priced at $0 when granted for tax reasons, but AE invests millions into these projects. Equity comes from reduced margins on client work and internal funding. You get a real stake in the things you help build. The longer you stay, the more value you create and the more equity you receive. If you leave on good terms, you can retain 20% of your equity by staying engaged. If you spin out a Skunkworks venture, you retain 100%.

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build—from flagship playlists like Discover Weekly and Daily Mix to entry points like Home and Search. The Next Generation Sessions (NextGen) product area within PZN is reimagining listening beyond the playlist. We invent cutting-edge personalized sessions like AI DJ, AI Playlist, Blend, Jam, and vertical feeds for discovering music and podcasts. Our team of ~100 engineers, scientists, product managers, and domain experts in music, podcasts, and voice collaborate across New York, Boston, London, Stockholm, and remote locations from Eastern US through Central European time zones. As an Associate MLE / AI Engineer in NextGen, you’ll be part of a cross-functional team inventing new AI-powered listening experiences. You’ll explore emerging AI capabilities, prototype end-to-end products, and help bring new features from concept to launch to millions of users. This is a fast-paced, high-growth role ideal for someone early in their career who is eager to learn by building, collaborate closely with senior engineers and researchers, and stay at the forefront of AI applied to music and talk content. If you're passionate about the intersection of AI and music and podcasts, obsessed with exploring new AI capabilities, and excited to shape the future of audio, bring your ideas—we’ll invent the next generation of audio together. • Rapidly prototype, iterate, and ship AI-powered music and podcast recommendation experiences using the latest capabilities of LLMs, agent frameworks, and Spotify’s recommender systems, • Continuously explore and evaluate new models, tools, libraries, and product trends—bringing fresh ideas into the team from the frontiers of AI and open-source innovation, • Promote and model best practices in AI engineering—including the use of LLMs and agents to power products, advanced evaluation strategies, and AI-assisted coding tools, • Leverage AI coding assistants to rapidly prototype full-stack MVPs, • Collaborate with cross-functional partners—including design, user research, product, data science, tech research, and engineering—to bring new ideas from concept to launch, • Develop a keen eye for software quality, learning to critically evaluate AI-generated code to ensure it meets Spotify's high standards for correctness, performance, and engineering best practices, • Grow your skills with access to Spotify’s comprehensive career development resources and encouragement to develop across disciplines, • Build a strong foundation and culture in AI engineering by leveraging the state of the art, learning from mentors, pairing with Staff engineers, and shipping code that reaches hundreds of millions of users, • You’re a full-stack AI prototyper: building your own projects with modern AI tools, experimenting fast, and iterating based on feedback, • You’re fully plugged into the AI ecosystem—active in online communities, exploring open-source repos, reading papers, trying every new tool you can get your hands on, • You think end-to-end, across the stack—from designing user interactions, to wiring up backends, to building models, to deployment considerations—because you want to see ideas come to life, • You have a working knowledge of machine learning fundamentals and hands-on experience with Python, Java, or Scala and modern ML frameworks like PyTorch or TensorFlow, • You have familiarity fine-tuning and evaluating LLMsYou have familiarity building workflows that integrate LLMs and data into autonomous, multi-step workflows, • You have experience crafting prompts to get the results you’re after. You know how to write, improve, and test your prompts to extract value out of LLMs, • You understand the importance of critically reviewing AI-generated code for correctness, quality, and alignment with best practices, • You may have studied AI formally—or you may have taught yourself through hands-on building and deep curiosity, • You thrive in collaborative, interdisciplinary environments and are eager to learn from more experienced engineers, • You’re good at communicating technical topics to less technical peopleYou bring contagious enthusiasm, a creative mindset, and a strong drive to shape the future of AI-powered products, • This role is based in New York., • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week.The United States base range for this position is $93,144- $133,063 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.

Figma is growing our team of passionate people on a mission to make design accessible to all. , Figma helps entire product teams , design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come _ with us! Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma. You’ll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you’ll shape both foundational systems and user-facing capabilities. This is a full time role that can be held from one of our US hubs or remotely in the United States. • Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features., • Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows., • Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance., • Work with product engineers to define and deliver impactful AI features across Figma’s platform., • Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment., • Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Figma., • 5+ years of industry experience in software engineering, with 3+ years focused on applied machine learning or AI., • Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring., • Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost., • Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality., • Experience mentoring or leading others and contributing to a culture of technical excellence and innovation., • Familiarity with search relevance, ranking, NLP, or RAG systems., • Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows., • Experience working on creative or design-focused ML applications., • Knowledge of additional languages such as C++ or Go is a plus, but not required., • A product mindset with the ability to tie technical work to user outcomes and business impact., • Strong collaboration and communication skills, especially when working across functions (engineering, product, research). At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range (SF/NY Hub): $149,000 - $350,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an _ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to _. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with _.

We’re looking for a Senior Software Engineer to build and scale the backend systems that power our AI agent. This role sits at the intersection of backend engineering, machine learning, and product, and is focused on turning AI capabilities into reliable, production-ready systems. You won’t be training models, but you will make them work in the real world. You’ll build APIs, services, and data systems that connect LLMs and ML models to user-facing experiences, ensuring performance, reliability, and scalability. • Design and build APIs and backend services that power AI-driven product experiences, • Develop systems that integrate LLMs and ML models into production workflows, • Build and maintain data pipelines supporting training, inference, and evaluation, • Partner closely with ML Engineers, Data Scientists, and Product to ship end-to-end features, • Improve system performance, reliability, and scalability across services, • Contribute to experimentation and feedback loops that improve model and product performance, • Debug complex production issues and drive root cause resolution, • Raise the bar on code quality, system design, and engineering standards, • AI-powered features are reliably delivered through scalable, well-architected backend systems, • ML and LLM capabilities are seamlessly integrated into product experiences with strong performance and uptime, • Clear, maintainable APIs and services enable fast iteration across engineering and product teams, • Systems are designed with strong observability, enabling rapid debugging and improvement, • Engineering decisions consistently balance speed, quality, and long-term scalability, • 5+ years of experience in software engineering, with strong backend focus, • Strong proficiency in Python and experience building production-grade systems, • Experience designing APIs and service-oriented architectures, • Experience working with ML/AI systems in production environments (LLMs, ranking, recommendations, or similar), • Familiarity with databases (SQL and/or NoSQL) and data-intensive systems, • Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure, • Exposure to containerization and orchestration (Docker, Kubernetes), • Ability to operate in ambiguity and take ownership of loosely defined problems, • Strong product mindset with focus on real user outcomes, • Clear communication and ability to collaborate across engineering, ML, and product The expected base salary range for this role is $200,000–$225,000 USD and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities. In addition to base salary, Wizard offers: • Equity in the form of stock options, • Medical, dental, and vision coverage, • 401(k) plan, • Flexible PTO and company holidays, • Fully remote work within the United States, • Periodic company offsites and team gatherings Wizard is committed to fair, transparent, and competitive compensation practices.

ISE is hiring an Embedded AI Content Security Engineer to partner with the team at select 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

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity. StackAdapt is the no. 1 performing programmatic advertising platform helping brands accelerate customer engagement and acquisition. This state-of-the-art platform is where some of the most progressive work in machine learning meets cutting-edge user experience. Ranking the highest in performance by G2 Crowd for the fourth time, we're one of the fastest growing companies in Canada and ranks 6th in Deloitte's Technology Fast 50 ranking and 23rd in Fast 500 in North America. We're seeking a Staff Engineer to help lead our growing backend engineering team. Our real-time advertising bidding system handles over 3,000,000 requests per second and stores several terabytes of data every day. Our technologies include Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, RocksDB, Redshift, ScyllaDB, GraphQL and others. We're not afraid to test and try new technologies. About the Team: The Stats & Analytics team at StackAdapt is responsible for managing the end-to-end data lifecycle, from ingesting diverse data types such as engagement events (impressions, clicks) and conversion data (purchases, website visits) to distributing this data across critical downstream services like reporting, billing, bidding, and analytics. We also ensure that this data is accessible for offline use, supporting data warehousing, client reporting, and custom dashboards. Our team tackles complex distributed system challenges, focusing on scalability, performance, reliability, and data consistency. We leverage a modern tech stack that includes Golang for high-performance services, TiDB for scalable SQL databases, Redshift and Snowflake for data warehousing, Kafka for real-time streaming, Elasticsearch for powerful search and analytics, and HDFS for distributed storage. If you're passionate about solving large-scale data problems and working with cutting-edge technologies, the Stats & Analytics team offers an exciting opportunity. Watch our talk at Amazon Tech Talks: _ StackAdapt is a Remote First company, we are open to candidates located anywhere in North America for this position. \n What you'll be doing: • Working with team of engineers focused on building StackAdapt’s stats and analytics offering, • Build deep understanding and expertise in multiple different databases that house petabytes of data, • Architect scalable low-latency backend systems and data pipelines. Write code as needed to support the team., • Lead and mentor a team of talented engineers within the backend distributed systems team, • Make a positive impact on the team's productivity and growth, • Promote software development best-practices and conduct rigorous code reviews, • Rigorously identify and solve technical challenges, • Conduct interviews to attract and identify potential high performing candidates, • Balance and prioritize projects to maximize efficiency and ensure company objectives are achieved We'll be reaching out to applicants that have: • Experience with working with large datasets, • Experience with real-time analytics services, • Proven track record of delivering results and leading growing, high-impact teams, • At least 5 years experience of software development in distributed systems, architecting scalable microservices and data pipelines in a successful high-growth technology company, • At least 1 year of leadership experience, including all the responsibilities listed above, • A strong understanding of computer science fundamentals, data structures, and algorithms, • Up to date knowledge and experience in the latest technologies, tools, and frameworks, • Experience with Go and high performance databases is a plus StackAdapters enjoy: • Highly competitive salary, • RRSP/401K matching, • 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off, • Access to a comprehensive mental health care platform, • Full benefits from day one of employment, • Work from home reimbursements, • Optional global WeWork membership for those who want a change from their home office, • Robust training and onboarding program, • Coverage and support of personal development initiatives (conferences, courses, etc), • Access to StackAdapt programmatic courses and certifications to support continuous learning, • An awesome parental leave policy, • A friendly, welcoming, and supportive culture, • Our social and team events! \n StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: _ _ _ and by Great Place to Work® _ #LI-Remote

WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to _. THE ROLE At Zeta Global, we are spearheading innovations in data-driven marketing, leveraging advanced machine learning and AI to deliver unparalleled insights and performance. We are seeking a visionary Senior Product Manager to lead our Machine Learning Operations initiatives, focusing on developing retail-specific models and a user-friendly Model Workbench that empowers marketers to harness the power of Machine Learning without the need for deep technical expertise. Job Description: • Machine Learning Operations Leadership: Spearhead the development and maintenance of robust ML Ops processes to streamline model deployment, monitoring, and management., • Retail Model Innovation: Design and refine machine learning models tailored to the retail industry, enhancing our predictive capabilities and market understanding., • Model Workbench Development: Lead the creation of a Model Workbench platform that enables marketers to easily interact with and utilize machine learning models, incorporating user-friendly interfaces and tools., • Customer-Centric Product Development: Ensure all product development is guided by a deep understanding of customer needs and market demands, delivering solutions that are both intuitive and powerful., • Agentic Infrastructure Integration: Work towards integrating traditional ML with advanced generative models, focusing on explainability, actionable recommendations, and recursive training based on user interactions. Requirements: • Experience in Product Management: Proven track record of successful product management, ideally in a technology-focused environment., • Expertise in Machine Learning: Strong understanding of ML Ops practices, with experience in developing and managing Machine Learning models, particularly for retail applications., • Technical Proficiency: Comfortable working with both traditional and generative machine learning technologies, with a keen insight into model explainability and user interaction., • Strategic Thinking: Ability to think strategically about product development, integrating customer insights and market trends into actionable product features., • Communication Skills: Excellent communication skills with the ability to collaborate effectively across cross-functional teams and articulate product visions clearly to both technical and non-technical stakeholders., • Background in Retail Analytics: Direct experience or a strong understanding of the retail industry's data analytics needs., • Familiarity with Agentic Infrastructure: Knowledge of combining traditional ML models with generative models to enhance user interaction and model training. BENEFITS & PERKS • Unlimited PTO, • Excellent medical, dental, and vision coverage, • Employee Equity and Stock Purchase Plan, • Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!! COMPENSATION RANGE The compensation range for this role is $150,000 - $190,000 depending on location and experience. PEOPLE & CULTURE AT ZETA Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: _ ZETA IN THE NEWS! _ #LI-ND1 #LI-Remote

ABOUT PER SCHOLAS: For 30 years, Per Scholas has been on a mission to drive mobility and opportunity in the ever-advancing technology landscape by unlocking the untapped potential of individuals, uplifting communities, and meeting the needs of employers through rigorous tech training. By teaming up with dynamic employer partners, ranging from Fortune 500 companies to innovative startups, we're forging inclusive tech talent pipelines, fulfilling an ever-increasing need for skilled talent. With national remote training and campuses in 20+ cities and counting, Per Scholas offers no-cost training programs in the most sought-after tech skills, spanning Cloud, Cybersecurity, Data Engineering, IT Support, Software Engineering, and more. To date, 30,000+ individuals have been trained through Per Scholas, propelling their professional trajectories into high-growth tech careers with salaries three times higher than their pre-training earnings. Learn more by visiting and follow us on , , , , and . Per Scholas preferred hires reside within the following states: AZ, CA, CO, FL, GA, IL, IN, KS, MD, MA, MI, MO, NC, NJ, NY, OH, PA, TX, WA POSITION TITLE: AWS Machine Learning - Instructor DURATION: Part-Time Contract Role COMPENSATION: $65/hour WHO WE’RE LOOKING FOR Per Scholas is seeking an AWS Machine Learning instructor to become a member of our team. The ideal candidate is a detail-oriented, problem-solving individual with strong technical and instructional skills, demonstrates the ability to adapt quickly to a dynamic environment, and maintains a strong sense of accountability. To succeed in this role, candidates must be business-minded within our mission focus and excel in instructional delivery that meets clients’ and learners’ high expectations. WHAT YOU’LL DO • Support instructor-led training that prepares students for entry-level to mid-level careers in AI and Machine Learning infrastructure on AWS. Responsibilities include daily instruction, assessment administration, attendance, one-on-one tutoring, daily evaluation and monitoring of individual student progress, addressing student violations with students in a consistent manner, and more., • Provide students with access to relevant resources for outside learning on technologies and study aids relevant to the curriculum., • Work closely with the team to identify student needs, provide the necessary support, establish individualized plans for student achievement, and participate in regular student-status meetings., • Maintain and update Salesforce and/or our LMS with student grades, certification scores, and progress notes., • Support and maintain the training curricula, syllabi, lesson plans, and other classroom materials. WHAT YOU’LL BRING TO US Instructional Skill Sets • 1-3 years of teaching or training experience, • Strong technical background; able to grasp and convey highly technical subject matter, • Ability to respond clearly to live digital conversations via a digital engagement platform such as Zoom or an in-person training environment., • Strong communication skills Required Skill Sets • ML Development & Tools: Hands-on expertise with Amazon SageMaker, AWS Bedrock, and SageMaker Studio., • Data Engineering: Proficiency in ingesting and transforming datasets using AWS Glue, S3, and SageMaker Data Wrangler., • MLOps Orchestration: Expertise building automated ML pipelines using AWS Step Functions, SageMaker Pipelines, and CI/CD workflows., • Security & Governance: Strong understanding of IAM policies, VPC security, and auditing via CloudWatch and CloudTrail., • Model Monitoring: Ability to evaluate performance and bias using SageMaker Clarify and Model Monitor., • Generative AI Integration: Ability to demonstrate the use of LLMs and Copilots for debugging code, generating notes, and automating technical documentation., • Certification: Active AWS Certified Machine Learning Engineer – Associate or AWS Certified Data Engineer – Associate credential. Preferred Skill Sets • Programming Mastery: Proficiency in Python (Pandas, NumPy) and SQL for data-centric roles. Professional Qualifications • Bachelor's degree (or equivalent practical/industry experience), • Strong technical aptitude (Google Sheets/Excel, Slides/PowerPoint, Salesforce, Slack, Zoom, etc.), project management, and organizational skills with detailed follow-through abilities, • Excellent written communication, presentation, and customer service skills, • Solid understanding of business needs, • Strong evaluation and data management skills, • Prior knowledge or background in IT (if minimal, a desire and willingness to learn what’s needed) and a passion for technology is a plus Personal Characteristics • You thrive in a creative, inventive, fast-paced startup environment with people who are passionate about their work and mission., • You are data-driven, result-oriented, and a forward-looking catalyst for social change., • You have a collaborative and flexible work style. You’re excited to work cross-functionally with other departments and independently., • You are a life-long learner., • You are an effective communicator with strong oral and written skills., • You are tech-savvy and learn new tools quickly., • You are detail-oriented, with exceptional organizational management skills., • You have strong public speaking and interpersonal skills. You are a motivator who is personable, approachable, and socially engaging. You can cultivate relationships and build rapport quickly and authentically with people from various professional and cultural backgrounds., • You are adept at managing your time and balancing multiple projects and tasks., • You stand behind our mission, believing that individuals from any community should have access to well-paying career positions and that talent should be recognized and recruited from diverse sources. Compensation For this role specifically, we are targeting an hourly range of $60.00 - $65.00 where the difference in salary is typically determined by several factors, including geography in which the selected candidate resides, and alignment with qualifications and experience. #LI-Remote Benefits & Perks Per Scholas offers a comprehensive benefits package designed to support your health, financial well-being, and overall quality of life! Holidays & PTO: Full-Time Per Scholas team members enjoy over 40 days of paid time off each year through a mix of holidays, vacation, and sick/personal time! All employees are eligible for Holiday pay upon hire (a total of 22 holidays annually, including a week off for Independence day and a week before the New Year). Full-Time Benefits Eligible employees also receive 80 Wellness Hours to use for Sick, Safe, or Personal reasons and accrue Vacation at a rate of 8 hours at the beginning of every month, supporting rest, recharge, and work-life balance. Vacation accruals increase with tenure. Part-time employees are afforded time off on a prorated basis and in accordance with local requirements. Comprehensive Medical Coverage: Benefit eligible employees can choose from multiple medical plans through Cigna or Kaiser Permanente (where available), with options to fit your needs. Eligible employees also have access to a Health Reimbursement Account (HRA) that reimburses eligible out-of-pocket expenses, up to $4,000 for individuals and $8,000 for families. Dental and Vision Insurance: Eligible employees can select from two dental plan options and a vision plan. Employees who waive medical coverage receive employer paid dental and vision premiums. Retirement Savings: 401(k) plan with a current 100% employer match on contributions up to 6%, eligible employees are offered entry and full vesting after 90 days with the company. Employee Assistance Program (EAP): Free, confidential, 24/7 access to counseling, legal support, and financial resources for employees and their household members Parental Leave: Eligible employees are offered up to 6 weeks of 100% paid parental leave to support employees as they welcome a new child and bond with their family. Additional Benefits & Perks: Eligible employees have access to employer-paid life and AD&D Insurance, as well as employer-paid short-term disability coverage, with the option to elect additional life coverage and long-term disability insurance. Flexible Spending accounts are available for healthcare, dependent care, and commuting expenses. Per Scholas also offers a range of voluntary benefits, including: Accident, Critical Illness, Hospital Indemnity, Legal Services, and Pet Insurance. Additional resources include healthcare concierge support, financial wellness tools, and employee discount programs. QUESTIONS? If you have any questions about this role, please feel free to email our Talent team at _. We look forward to viewing your application! Equal Employment Opportunity We're proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or national origin. _ _

About the Role The Platform Infrastructure team at iCapital plays a critical role in ensuring that both production and development environments operate smoothly, securely, and reliably. This role leverages advanced cloud capabilities to support the Platform Infrastructure strategy of market agility and lean operating principles, with a strong emphasis on quality to meet the ever‑growing demands of our clients. We are seeking highly collaborative, creative, and intellectually curious MLOps/DevOps Engineers with deep expertise in machine learning operations, cloud infrastructure, CI/CD automation, Kubernetes, and security. This role requires hands‑on experience designing, building, and operating scalable DevOps and enterprise‑grade MLOps platforms, including model lifecycle automation, observability, and governance. As a Platform Engineer, you will wear multiple hats in a highly visible role, partnering closely with engineering, security, data, and business teams to deliver secure, reliable, and highly automated platforms that support both application and machine‑learning workloads. Responsibilities • Design, build, and operate MLOps pipelines supporting the full ML lifecycle (training, validation, deployment, monitoring)., • Enable production workloads for AI/ML and Generative AI systems, including LLM‑based services., • Develop and maintain CI/CD pipelines for AI/ML services and supporting infrastructure., • Build and manage cloud‑native infrastructure on AWS, with heavy use of Kubernetes and containerized workloads., • Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform)., • Implement model versioning, experiment tracking, and artifact management across environments., • Ensure reliability, scalability, observability, and cost efficiency of AI platforms., • Partner with AI/ML engineers to operationalize models and standardize deployment patterns., • Implement monitoring and alerting for system health, model performance, and drift., • Enforce security, compliance, and governance requirements for AI workloads., • Participate in incident response, root cause analysis, and continuous improvement initiatives., • Document standards, best practices, and reference architectures for MLOps and AI infrastructure. Required Qualifications • 15+ years of experience in DevOps, SRE, or Platform Engineering, with AWS as a primary cloud., • Experience supporting machine learning systems in production, including deployment and monitoring concerns., • Hands‑on experience with machine learning platforms, particularly AWS SageMaker (required)., • Strong hands-on experience with Kubernetes, containerized workloads, and cloud networking., • Proven experience building and operating CI/CD pipelines (e.g., GitLab CI, ArgoCD)., • Strong proficiency with Terraform and scripting/programming in Python or similar languages., • Solid Linux, systems, and troubleshooting fundamentals., • Excellent communication skills and ability to work across teams., • Direct experience with MLOps platforms and tooling (model registries, experiment tracking, feature stores)., • Exposure to Generative AI / LLM workloads in production environments., • Familiarity with data stores commonly used in ML systems (e.g., Postgres, DynamoDB, object storage)., • Experience operating in regulated or fintech environments., • Background in cost optimization for compute‑intensive workloads., • Strong written and verbal communication skills., • AWS certifications are a plus. Benefits The base salary range for this role is $180,000 to $230,000 depending on experience. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit Twitter: @icapitalnetwork | LinkedIn: | Awards Disclaimer: _ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics

Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. Okta is seeking a Vice President of Product Management for Access Management. Access Management sits at the very core of our service and spans a broad technology scope, including Authentication Protocols, Multi Factor Authentication (MFA), Login Experience, Device Access, and Customer Identity. The Access Management team builds the experience that powers billions of monthly logins through Okta’s thousands of customers. In a hyper-growth environment you will support the Access Management product management team in making roadmap prioritization decisions based on in-depth understanding of customer needs, market trends and the competitive landscape. You will partner with leaders across other product management teams, design, program management, engineering, finance and marketing to execute on the vision of providing secure access to everyone but not just anyone. You will take an active role in identifying areas and levels of investment needed to deliver on company goals and continuously analyze build/license/buy opportunities across the Access Management portfolio. You will leverage data and experience to make lots of decisions every day to help unblock teams, and you will not hesitate to make bold recommendations to senior company leadership. This role can be based from a home office anywhere in the US or Canada. You will lead the Access Management product management team in the following areas • Creating effective product requirements for iterative customer value release, • Publishing and communicating product vision and roadmap, • Work very closely with Access Management engineering leadership, • Support the product management team on engaging with developers at all stages, from hobbyists to large enterprises, to continuously deliver value and assess priorities, • Work collaboratively with product designers and researchers to increase market awareness, • Roadmap sourcing strategy: Build x Buy x Partner, • Monitoring business impact: ROI, Pricing, Margins, • Partnering with go-to-market on Product Launches, • Continuously monitor team structure and investment levels, providing recommendations for optimizations, • Partner in a leading role with Program Management and Engineering leadership in quarterly and yearly planning What You Bring • 10+ years of technology leadership (directly managing people) focused on SaaS/IaaS/PaaS primarily in a space where developers are an important buyer of the product and at least 8 years of product management experience., • Deep expertise and understanding of access management products and technologies, • Experience with agile software development, balanced with enterprise software customer needs, • Experience in building and maintaining a long-term roadmap in an environment of constant change, • Experience with developer acceleration frameworks such as SDKs, Quickstarts, and Reference implementations., • Solid business foundation, having built business cases and defined pricing models, • Experience partnering with go-to-market teams in launching software products, • Proven ability to lead a diverse team of product managers at various levels of seniority, • Previous experience leading documentation and/or developer experience teams., • Strong ability to influence and work cross-functionally, • Excellent communication and presentation skills, • Some travel will be required (US and International), • Prior experience in a fast-paced and high-growth company is strongly preferred Okta’s Top 5 Core Leadership Competencies are part of the deeply ingrained principles that guide all of our company’s actions. They also align strongly to our cultural cornerstones, our Okta values: love our customers, empower our people, never stop innovating, act with integrity, and maintain transparency. It’s our expectation that our managers and leaders embody these core competencies: • Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals., • Demonstrates Self-Awareness (EQ): Using a combination of feedback and reflection to gain productive insight into personal strengths and weaknesses., • Develops Talent: Developing people to meet both their career goals and the organization’s goals., • Drives Results: Consistently achieving results, even under tough circumstances., • Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies. #LI-CH1 #LI-Remote The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $329,000—$452,100 USD Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: _. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$294,000—$403,700 USD What you can look forward to as a Full-Time Okta employee! • Amazing _, • Making _, • Developing _ Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta. Some roles may require travel to one of our office locations for in-person onboarding. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this_ to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please _ to view our full NYC AEDT Notice. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at _

Title: Low Code AI Engineer Location: Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability to obtain and maintain a Federal Public Trust investigation Travel: 0–10% RESULTS. INNOVATION. VALUES. ACCOUNTABILITY. That’s RIVA. Our employee-first approach has manifested a culture that attracts the best and brightest. By investing in people first and providing a flexible work environment, our employees have higher morale, higher productivity rates, and lower turnover. At RIVA, people are our #1 priority. Program Overview RIVA Solutions supports the U.S. Department of Commerce (DOC), International Trade Administration (ITA), in establishing and operating an AI Center of Excellence (AI-CoE) under the Office of the Chief Information Officer (OCIO). This program advances IT modernization by designing, developing, deploying, and maintaining artificial intelligence and machine learning solutions that strengthen mission outcomes across the Commerce enterprise. The AI-CoE provides AI application development, model lifecycle management, data engineering, security support, quality assurance, and Agile delivery services that enable DOC to mature toward higher levels of operational and technological excellence. RIVA’s work ensures that AI tools and systems are reliable, scalable, secure, and aligned with federal cloud and data strategies. Position Overview RIVA Solutions is seeking a Low Code AI Engineer to support the delivery and operationalization of AI-enabled solutions using low-code platforms—primarily Microsoft Power Platform and Copilot Studio—within the AI Center of Excellence. This role focuses on enabling, deploying, integrating, and monitoring AI experiences in Microsoft’s specialized government cloud environment (Government Cloud Computing/Government Community Cloud), designed to meet the compliance and security needs of Federal, State, Local, and Tribal governments. Emphasis is placed on configuration-first development, CI/CD, data/content ingestion pipelines, and ongoing operations to ensure reliable production performance. This position partners closely with technical teams and federal stakeholders to implement scalable low-code solutions, establish repeatable delivery patterns, and support the knowledge/content lifecycle that powers AI experiences (e.g., ingestion, validation, refresh, governance, and monitoring). Traditional, heavy machine learning model development is not a primary expectation for this role, though limited support may be required as future mission use cases evolve. U.S. Citizenship is required, along with the ability to obtain and maintain a federal Public Trust investigation. This position is fully remote within the United States. Core Responsibilities Enable and deliver low-code AI solutions using Microsoft Power Platform and Copilot Studio to support enterprise mission needs. Configure, integrate, and operationalize AI experiences, including connectors, workflows, approvals, and automation patterns that support secure enterprise adoption. Support cloud delivery within Microsoft’s specialized government cloud environment (Government Cloud Computing/Government Community Cloud), ensuring solutions align with federal security, compliance, and governance requirements. Implement and maintain CI/CD processes for Power Platform/Copilot solutions (solution packaging, environment promotions, release management, and deployment automation). Build and support data/content ingestion pipelines that prepare and maintain knowledge sources for AI experiences (knowledge lifecycle management, validation, refresh schedules, and quality checks). Deploy, monitor, and optimize low-code AI solutions in production, including telemetry, alerting, performance monitoring, and incident response support. Partner with Data Engineers and platform teams to ensure content and data are structured, accessible, and maintained for AI-enabled experiences (without requiring heavy feature engineering or predictive modeling). Use Python or lightweight scripting only as needed for function calls, integration edge cases, automation gaps, or specialized operational support. Document platform configurations, release procedures, operational runbooks, integration patterns, and technical implementation details. Collaborate with AI Developers, Data Engineers, Scrum Masters, and federal stakeholders in Agile/Scrum environments. Stay informed on emerging low-code AI capabilities (Power Platform, Copilot Studio, governance, and federal cloud guidance) to improve solution quality and maintainability. Minimum Qualifications Bachelor’s degree or equivalent professional experience. Minimum 2 years of experience delivering low-code solutions, platform enablement, automation, or related engineering work (Power Platform/Copilot Studio strongly preferred). Experience configuring, deploying, and supporting solutions across multiple environments (dev/test/prod), including release and change management practices. Experience with CI/CD concepts and implementation for low-code or platform- based solutions (packaging, deployments, environment strategy, and operational monitoring). Experience supporting data/content ingestion, integration, or lifecycle processes that enable AI experiences (knowledge management, data preparation workflows, or content operations). Strong analytical and problem-solving skills with a delivery-and-operations mindset. U.S. Citizenship required. Ability to obtain and maintain a Federal Public Trust investigation. Preferred Qualifications Experience supporting federal government or public-sector technology programs, including regulated cloud environments. Hands-on experience with Microsoft Power Platform administration and governance (DLP policies, environment strategy, ALM practices, Center of Excellence patterns). Experience with Copilot Studio (bot/agent configuration, integrations/connectors, publishing, telemetry/monitoring). Exposure to lightweight scripting (e.g., Python) for integrations, function calling, or operational edge needs. Experience with monitoring/observability practices (logging, metrics, alerting, dashboards) and operational support for production services. Familiarity with cloud-native services and secure delivery practices within Azure ecosystems. Certifications in Power Platform, cloud engineering, or related fields are a plus. Salary $120K RIVA Benefits Paid Time Off / Sick Leave Health, Dental, and Vision Coverage Life Insurance Retirement Benefits / 401K with company matching HSA/FSA Spending Accounts Long- and Short-term Disability Pet Insurance Wellness Program Initiatives RIVA Flex Additional Workplace Benefits Equal Opportunity Statement RIVA Solutions is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any protected class. If you need a reasonable accommodation to search for a job opening or to submit an online application, please email _. Only messages left for this purpose will be returned.

Who we are: We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote - USA or Canada From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there. About the Role You will serve as the technical steward and platform architect for both our Consumer Fraud and Business Fraud engineering teams. This position involves driving technical strategy, optimizing mission-critical infrastructure, mentoring engineers, and assuming broad ownership of a platform that processes massive volumes of data in real-time. What you’ll be doing: Act as the overarching technical leader for multiple teams, partnering with stakeholders to unify platform strategy. Architect, design, and optimize ultra-low-latency backend services and a high-throughput rules engine. Design optimal data access patterns, partitioning strategies, and caching layers across our complex, multi-cloud database ecosystem. Develop robust pipelines for massive parallel execution of real-time feature computations and aggregations. Play a pivotal role in shaping engineering culture, mentoring senior engineers, and driving high technical standards from conception to delivery. What you’ll need: 7+ years of software engineering experience, with a proven track record operating at a Staff, Principal, or Lead Architect level. Deep expertise in building highly available, distributed systems with strict ultra-low latency. Hands-on experience working with stream processing frameworks (e.g., Kafka, Flink, SQS, PubSub) in production environments. Advanced proficiency in polyglot persistence, with experience tuning data models across Document, Wide-Column, and Relational databases. A strong platform engineering mindset focused on reliability, observability, and developer velocity. Proficiency in communicating complex architectural concepts and driving cross-team consensus. Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our _.

What We Do At GoGuardian, we’re helping build a future where all learners are ready and inspired to solve the world’s greatest challenges. Our award-winning system of learning solutions is purpose-built for K-12 and trusted by school leaders to promote effective teaching and equitable engagement while helping empower educators to keep students safe. What It’s Like to Work at GoGuardian We are an outcomes-focused learning company with a steadfast focus on improving learning environments, one classroom at a time. Working with us means joining a remote team of diverse, committed, mission-driven employees who are inspired by our vision, dedicated to our customers, and ready to roll up their sleeves. Guardians put their heads together to solve problems, learn together from experiments that fail, and stand together by their work with full accountability. We balance our diligence with an inclusive culture that invites everyone to bring their whole self to work. Join us and learn why “I love the people here” is one of the most frequent comments we hear from Guardians. The Role We’re looking for a Staff Software Engineer to build new and maintain existing products in GoGuardian’s Safety product suite . In this role, you’ll contribute to the full software development lifecycle, from conception, research, definition, scoping, planning, implementation, and testing, to documentation, delivery and maintenance. This position sits on the Admin Team, GoGuardian Admin delivers a single, unified interface for setting filtering policies and reporting across ChromeOS, Windows, and macOS devices. Powerful DNS-protection helps schools comply with CIPA across BYOD, guest networks, and unmanaged devices, all managed from the same dashboard. The ideal candidate is curious, able to manage risk, and driven to deliver quality software. What You'll Do • Collaborate with a cross-functional team toward feature delivery; Working both independently and in pairs/groups with others of varying skill levels, • Leverage strong problem solving skills to apply existing knowledge and experience to new problems and creative solutions, • Write production-grade code for well-scoped features with the help of code reviewers, • Understand, implement and contribute to GoGuardian’s best practices, including style guides, standards, code reviews, documentation management, and operational workflows, • Being generally available to work during standard working hours and to participate in an on-call rotation for production application support, • Work closely with Product Management to create new features and products., • Lead the application architecture decision making process., • Champion AI adoption across engineering by defining best practices and driving effective use of AI in development workflows to improve velocity, quality, and customer impact., • Continuously experiment with and operationalize AI tools to accelerate innovation, improve productivity, mentor teams on AI usage, and help shape the company’s AI engineering culture and strategy., • Take part in short and long term planning., • Build & operate AWS infrastructure, • Monitor and track performance and reliability of our services and software to meet promised SLA, • Mentor other developers to increase the overall performance of the team. Who You Are • 8+ years experience as a software engineer of SaaS applications and or working on customer facing products, • Competency in one or more languages. Experience with Go, Javascript, React, and MySQL preferred, • Competency with Kafka or other Event Sourcing Systems, • Direct involvement in shipping at least one production application / product, • Experience with monitoring, performance optimization, technical documentation, and unit / integration testing, • Up-to-date knowledge of full stack web development languages, libraries, and technology, • Writes production-grade code for well-scoped features; integrating feedback from code reviewers, • Learns quickly, applies existing knowledge to new challenges and is building proficiency in relevant technical skills, • Confident in making technical decisions and explaining the reasoning behind them, • Have deployed software utilizing AWS, Terriform, Kubernetes, Docker, and/or other similar technology., • Can drive automation adoption and enhancement in areas such as Test Automation, Github Runners, CI/CD platforms, and other automation platforms, • Can drive change beyond the scope of the team. Nice to Have • An interest in Machine Learning and AI technology What We Offer • Competitive pay, complete health insurance, 401(k) matching, and an employee equity plan., • Flexible time off, paid holidays, paid parental leave, and a paid year-end holiday break., • A robust catalog of benefits that support your professional growth and personal wellbeing, including work from home funds, fertility & adoption reimbursement, and more… Plus the intangible • A varied and challenging role in an innovative, global company., • Supportive, driven colleagues who have your back and share your passion. The typical base salary range for this position is $190,000 - $205,000 per year. The range displayed on this job posting reflects the minimum and maximum target for new hire base pay for this position and your pay will be determined by a variety of factors, including your primary work location, skills, qualifications and experience. Additional benefits information is listed on our careers page. Please share this with your friends or co-workers who may be interested in working at GoGuardian! We have multiple openings and are always looking for talented people. Please share this with your friends or co-workers who may be interested in working at GoGuardian! We have multiple openings and are always looking for talented people. GoGuardian is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. GoGuardian does not discriminate against employees, applicants, interns or volunteers on the basis of race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, pregnancy, marital status, sex, age, sexual orientation, military and veteran status, registered domestic partner status, genetic information, gender, gender identity, gender expression, or any other characteristic protected by applicable law. GoGuardian's Job Applicant Privacy Policy is located _. #BI-Remote

Who is Element? We serve as a partner at the intersection of innovation and our clients' needs, efficiently crafting meaningful user experiences for government and commercial customers. By breaking down complex problems to their fundamental elements, we create modern digital solutions that drive efficiencies, maximize taxpayer dollars, and deliver essential outcomes that serve the people. Why Work at Element? Make an impact that resonates-join our vibrant team and discover how you can improve lives through digital transformation. Our talented professionals bring unparalleled energy engagement, setting a higher standard for impactful work. Come be a part of our team and shape a better future. Position Summary: We are seeking a highly skilled and motivated Machine Learning / AI Engineer to support a federal government program focused on designing, developing, and deploying production-grade artificial intelligence and machine learning solutions. The role will focus on building scalable, secure, and high-performing AI models that support mission-critical decision-making and operational efficiency. The Machine Learning/AI Engineer will work across the full model lifecycle—from data preparation and feature engineering to model training, deployment, and monitoring—in a regulated government environment. • Develop and deploy at least three (3) production-grade AI/ML models, including use cases such as predictive maintenance, anomaly detection, classification, forecasting, or optimization., • Design, build, and maintain end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment., • Apply deep expertise in PyTorch and/or TensorFlow to develop and fine-tune advanced machine learning and deep learning models., • Implement and support scalable model serving architectures, ensuring high availability, low latency, and secure inference in production environments., • Collaborate with data engineers to access, transform, and prepare large-scale datasets for model training and inference., • Partner with product owners, analysts, and stakeholders to translate business requirements into machine learning solutions., • Monitor model performance in production, including drift detection, accuracy tracking, and retraining strategies., • Ensure compliance with federal security, privacy, and governance standards in all AI/ML implementations., • Participate in Agile development cycles, including sprint planning, design reviews, and technical demonstrations., • Document model architectures, training methodologies, and deployment processes for maintainability and auditability., • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or related field (or equivalent experience)., • 3+ years of experience in machine learning, data science, or AI engineering roles., • Proven experience delivering production-grade machine learning models in real-world environments., • Expert proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch)., • Advanced SQL development experience, including complex queries, performance tuning, and data transformation logic., • Experience leveraging Large Language Models (LLMs) in development., • Understanding of core concepts such as context windows, prompt design, and input/output structures, with the ability to apply AI tools effectively in building and enhancing solutions., • Experience building and deploying models using scalable serving frameworks (e.g., REST APIs, containerized deployments, or cloud-based inference services)., • Experience working with large-scale structured and unstructured datasets., • Strong understanding of machine learning concepts including supervised/unsupervised learning, deep learning, model evaluation, and feature engineering., • Experience working in the federal government or other highly regulated environments with security and compliance requirements., • Strong analytical and problem-solving skills., • Ability to communicate complex technical concepts to non-technical stakeholders., • Strong collaboration skills across engineering, data, and product teams., • Ability to work independently in a fast-paced, mission-driven environment., • High attention to detail with a focus on model reliability and production readiness., • US Citizenship or Permanent Residency required., • Must reside in the Continental US., • Depending on the government agency, specific requirements may include public trust background check or security clearance., • Experience deploying models in cloud environments (AWS, Azure, or GCP)., • Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)., • Experience with streaming or real-time inference systems., • Background in predictive maintenance, anomaly detection, or operational analytics use cases., • Familiarity with Docker, Kubernetes, and CI/CD pipelines for machine learning systems., • Experience supporting healthcare (e.g., CMS), or other federal mission systems. $135,000 - $145,000 a yearThe likely salary range for this position is $135,000-$145,000. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary. Our People We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); paid time off including PTO, holidays, and any other paid leave required by law. Location Be in your Element. We are a remote first company based out of Washington, DC. Element is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age, ancestry, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, marital status, protected veteran status, or any other legally protected class. We believe in a world where solutions we build improve the lives of those who use them.

A great candidate is excited to support our growing use of data, including working closely with the analytics and product engineering teams, to build a better user experience. Finally, they believe in Raya’s vision, which is to enrich lives by fostering relationships through quality, in person interactions. As Raya’s first Data Engineer for Data Products, you will be a founding member of the data engineering team and will play a pivotal role in empowering the company to be data-driven. The ideal candidate is experienced and confident building out performant, impactful data models, and trhives in a collaborative environment where they can influence product and business decisions through data. • Architect complex, high-volume data pipelines for production use., • Design and implement scalable data models serving multiple product and internal teams., • Own data quality frameworks and standards across key data products., • Build reusable patterns for transformations and metrics to drive efficiency., • Define and maintain core business metrics and Key Performance Indicators (KPIs) in partnership with Analytics., • Own the data products used across the company, ensuring reliability and performance., • Set and promote standards for data modeling and pipeline development., • Partner closely with Analytics, Data Science, and Machine Learning teams on requirements to reduce friction and accelerate their work., • Mentor engineers and actively participate in the hiring process., • 5+ years of experience in data engineering with a proven track record of successful data architecture and pipeline creation., • Expertise in handling large-scale data systems and cloud platforms (preferably AWS)., • Proficient in Python and SQL. Scala and MongoDB are a plus, • Strong experience with data pipeline and workflow management tools like Apache Airflow, Luigi, or Prefect., • In-depth knowledge of real-time data processing frameworks such as Kinesis, Kafka, Flink, or Spark Streaming. Experience with Segment is a plus., • Experience with data modeling tools and ETL frameworks, with a strong emphasis on performance optimization., • Excellent communication and collaboration skills to work effectively across teams.

Who We Are: At Emburse, you’ll not just imagine the future – you’ll build it. As a leader in travel and expense solutions, we are creating a future where technology drives business value and inspires extraordinary results. Emburse AI Engineer As an AI Engineer at Emburse, you will drive design and implementation of artificial intelligence inference applications and products using a variety of approaches including foundation models (GenAI), agents, deep learning, neural networks and other machine learning techniques to help build the future of a completely automated invoice and expense management lifecycle. DescriptionAs a key member of our team, you will be responsible for designing, developing, and deploying AI solutions that further automate expense and invoice management processes and solve complex optimization problems. By combining expertise in machine learning, deep learning, and data science; you will create systems capable of learning and adapting over time leveraging production feedback mechanisms. Collaborating with cross-functional teams, the Emburse AI engineer will build and train machine learning models, develop algorithms, and integrate AI systems into existing software and infrastructure. In addition to technical responsibilities, the Emburse AI engineer will play a strategic role by identifying opportunities for AI applications and driving innovation across the enterprise. You will work closely with data scientists, software engineers, and product stakeholders to ensure AI models align with organizational goals and deliver value. With a focus on continuous improvement, you will need to stay updated on the rapidly emerging advancements in artificial intelligence, exploring new tools for finetuning, distilling and deploying open-source foundation models. Further, you will be on the forefront of widening the scope of intelligence of Emburse AI by leveraging agents to retrieve canonical knowledge and make autonomous inferences for the purpose of handling user inquiries. This dynamic role is essential for Emburse to remain competitive in a rapidly evolving technological landscape. Key Responsibilities● Able to translate product design requirements into pipeline of heuristic and stochastic algorithms● Understand exploratory data analysis for product feasibility studies and ground truth testing● Execute SQL queries and/or python scripts to manipulate, analyze and visualize data● Able to implement explainable AI solutions and rationalize model inferences● Follows SDLC processes, Adopt agile-based processes/meetings and peer code-reviews● Works with Machine learning engineer/architect to deploy data products into production● Follows and understands legal data use restrictions● Contributes to algorithm library development and design for ML, NLP and XAI● Delivers product pipelines for deployment to production● Builds applications that integrate third party and self-hosted foundation models.● Fine tunes open source foundation models (LLMs, VLMs) with proprietary data● Develops autonomous AI inference and tool use orchestration using ReAct AI agents● Provides root cause analysis for machine learning model inference● Completes data analysis or processing tasks as directed● Documents data product end to end design and development● Data annotation, labeling and other related data generation activities● Provides thought leadership for rest of team and seeks out opportunities to mentor more junior team members● Presents and holds data product updates and trainings● Updates team on data product performance Education & ExperienceBS in Statistics, Mathematics, Computer Science or another quantitative field with at least 6 yearsexperience manipulating data sets and building GLM/regression models, ensemble decision trees and neural networks. The ideal candidate will have demonstrated hands-on experience with foundation models, GenAI and agents over the last 1-2 years. Graduate degree preferred. Key Qualifications● Strong problem solving skills with an emphasis on product development.● 6+ years of experience developing data science products ● Strong experience using and optimizing common python machine and deep learning libraries such as Scikit learn, PyTorch, TensorFlow, Keras, MXNet and Spark MLlib ● Experience using statistical computer languages (Python, R, Scala, SQL, etc.) to manipulate data and draw insights from large data sets.● Hands-on generative AI development Experience using foundation models (LLMs, VLMs)● Experience with model fine tuning of open source foundation models with proprietary data● Experience leveraging AI metrics for monitoring and value tracking● Knowledge of AI Agent frameworks with recent hands-on experience building an AI agent able to autonomously use data stores, tools and other AI models to solve inquiries.● Deep knowledge of data science concepts and related product development lifecycle● Experience using machine learning libraries such as TensorFlow, Keras, SparkML etc.● Working knowledge of machine learning tuning optimization procedures● Experience working with and creating data architectures.● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.● Excellent written and verbal communication skills for coordinating across teams.● A drive to learn and master new technologies and techniques. Preferred● Experience with big data analytical frameworks such as Spark/PySpark● Experience analyzing data from 3rd party providers: Google Knowledge Graph, Wikidata, etc.● Experience visualizing/presenting data for stakeholders using: Looker, PowerBI, Tableau, etc.Why Emburse? Finance is changing—and at Emburse, we’re leading the way. Our AI-powered solutions help organizations eliminate inefficiencies, gain real-time visibility, and optimize spend—so they can focus on what’s next, not what’s slowing them down. • A Company with Momentum – We serve 12M+ users across 120 countries, helping businesses modernize their finance operations. • A Team That Innovates – Work alongside some of the brightest minds in finance, tech, and AI to solve real- world challenges. • A Culture That Empowers – Competitive pay, flexible work, and an inclusive, collaborative environment that supports your success. • A Career That Matters – Your work here drives efficiency, innovation, and smarter financial decision-making for businesses everywhere. Shape your future & find what’s next at Emburse. Emburse provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Emburse complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment.

About DeepWalk DeepWalk is a fast-growing venture that helps cities keep people safe using computer vision to map and monitor their sidewalks. We have ongoing contracts with cities, universities, and engineering firms. In the past year, we’ve processed thousands of miles of sidewalk across 20+ states, generating millions of labeled data points used in real-world infrastructure decisions. We’ve raised $4.1M, recently closed a $2.1M seed round led by Enable Ventures, and we currently generate 7-figure revenue helping communities across America. Staff Software Engineer — Computer Vision Platform $150,000 – $190,000 base salary + equity · Remote We’re hiring a Staff Software Engineer to lead the technical direction of DeepWalk’s computer vision platform for automated sidewalk inspection. This role is focused on tackling high-impact, open-ended problems around large-scale imagery, production ML systems, and data pipelines that handle hundreds of terabytes of data. We’re specifically looking for engineers who have built and operated computer vision or ML systems in production at scale (not just research or prototyping). You’ll play a key role in how we process, analyze, and deliver insights from millions of images, supporting cities as they work to build safer, more accessible infrastructure. In this role, you’ll work closely with a handful of experienced engineers, help set technical direction, and establish patterns the team can scale with. Our core stack today includes Python-based CV/ML systems running on AWS, with data pipelines and services designed to handle large volumes of imagery and geospatial data. What You’ll Do As a Staff Engineer at DeepWalk, you’ll have significant ownership over both the systems we build and how we build them. You will… Own the lifecycle of our computer vision models, including training, evaluation, deployment, and iteration Improve model performance in real-world conditions (noise, edge cases, data drift) Design and improve data pipelines that process thousands of miles of sidewalks and millions of images Lead architectural decisions for handling hundreds of terabytes of geospatial and visual data, including storage layout, pipeline reliability, and inference performance Set and evolve best practices around deployment, observability, system reliability, and scalability Act as a senior individual contributor and mentor, helping raise the technical bar across the engineering team Work closely with the CEO and operations team to turn business needs into clear technical priorities What Success Looks Like (First 3–6 Months) Build a strong understanding of our current computer vision systems and data pipelines Identify the biggest scaling, reliability, and maintainability gaps as we grow Propose and begin executing on a clear plan to improve how we deploy, monitor, and operate production ML systems Become a trusted technical partner to leadership What We’re Looking For Required 6+ years of experience, including direct ownership of production ML or computer vision systems (training, deployment, and ongoing operation) Experience taking models from training → production → monitoring → iteration in a real-world environment Experience owning system architecture and influencing technical decisions across teams Experience deploying computer vision or ML systems in real-world production environments Fluency in at least one modern backend language (Python, Java, TypeScript, Go, etc.) Strong understanding of system design, scalability, and distributed systems Experience with cloud platforms such as AWS, GCP, or Azure Comfort working in a startup or growth-stage environment with changing requirements Nice to Have Experience with large-scale or real-time data pipelines Infrastructure-as-Code experience (Terraform, CDK, etc.) ML observability, data validation, or model deployment experience Familiarity with geospatial, imagery, or sensor-driven data An interest in urban planning, accessibility, or civic technology Compensation & Benefits $150,000 – $190,000 base salary, based on scope and experience Equity Unlimited PTO (most of our team takes 3–4 weeks per year) Health insurance 401(k) with ~4% match (100% on first 3%, 50% on the next 2%) DeepWalk participates in the federal E-Verify program to confirm the employment eligibility of all newly hired employees. DeepWalk is an Equal Opportunity Employer and is committed to building a diverse and inclusive workplace. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status. In accordance with applicable laws, DeepWalk provides equal pay for equal work and complies with all federal, state, and local pay transparency and compensation requirements.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The CS AI product team is responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. What you will do: As a principal machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure. You will partner with product managers, software engineers, data scientists and operation teams to brainstorm, design and develop AI products such as AI Assistant, Autonomous agent, recommendation, travel planning, and many more products that make meaningful impacts in the world of travel. Your responsibilities: • Work with large scale structured and unstructured data; explore, experiment, build and continuously improve foundation models for Airbnb product, business and operational use cases., • Create a multi-year tech roadmap that enables our team to stay on the leading edge of the rapidly evolving AI landscape and leverage the best in class technologies to deliver customer benefits., • Continuously evaluate recent and upcoming large foundational models, ensuring the selection and refinement of the highest quality models for enhanced performance and efficiency., • Hands-on prototype, develop and productionize LLM models and pipelines at scale, including both batch and real-time use cases., • Drive key AI architectural decisions for products, and contribute to Airbnb’s ML platform architecture and strategy., • PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related technical field., • 10+ years of experience with developing machine learning models and products at scale from inception to business impact., • Programming experience in Python and hands-on experience with frameworks such as PyTorch., • Proven record of training, fine tuning, optimizing models and inference run-time, • Post-training experience in areas like data processing for fine-tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling., • Or specialized experience in runtime optimizations, model quantization, compression, on-device inference, GPU inference, pytorch, kernel development, • PhD in AI, machine learning, data science, or related technical fields. Publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). • Customer Support Systems: Experience with AI technologies in customer support applications., • Agile Practice for AI production: Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain., • Infrastructure Acumen: Experience deploying and scaling business-critical AI services and driving architectural requirements on ML infrastructures Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. _ . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: _. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

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 _. Reddit is continuing to grow our teams with the best talent. This role is_ within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. Reddit is poised to innovate and grow like never before, and user safety is a critical accelerant of that growth. The Safety org is Reddit’s central Trust & Safety organization whose mission is to protect good users from bad experiences by stopping harmful content and behaviors across the site. We are looking for a Staff Data Scientist to join our Safety Insights Data Science team. In this role, you will partner closely with Safety Product, Engineering, and Machine Learning teams along with fellow Safety data scientists, to shape strategy, product development, define and evolve safety metrics, and drive analytics for some of the most important decisions in the Safety org. You will lead efforts to shape the measurement strategy for user safety, establish frameworks to quantify and monitor safety experiences, and evaluate the impact of interventions designed to protect Reddit’s communities. You will identify and prioritize opportunities for innovation, using rigorous analyses to size the potential impact of new initiatives and help the organization focus on the highest ROI areas to improve the safety experience at scale. Your work will guide decision-making and shape the strategic direction of Reddit’s safety efforts, ensuring that user safety remains a cornerstone of Reddit’s growth. The Safety org is one of Reddit’s largest divisions. Safety Insights works horizontally across it to provide scientific insight for product development, scaled abuse detection and mitigation, threat intelligence, and safety operations. We think big to innovate, unravel hard problems that cut across safety domains, and guide product development to protect our users from bad experiences while supporting Reddit’s long-term health and growth. Reddit has a remote-friendly work environment. If you live near one of our physical offices, our doors are open for you to come in as often as you’d like. Don’t live near an office? You can apply to work remotely from anywhere in the United States. Responsibilities: • Lead the measurement strategy for user safety by defining metrics, frameworks, and dashboards that quantify and monitor safety experiences across Reddit., • Use data and science-backed methods to inform the strategic direction of Safety product development and to rigorously assess the impact of product launches and policy or enforcement changes., • Design and execute experiments and quasi-experimental / inferential causal analyses (e.g., difference-in-differences, synthetic controls, matching) to estimate the impact and ROI of safety initiatives, and use these results for opportunity sizing and prioritization., • Own the design, development, and maintenance of scalable models and prototypes leveraging statistical, machine learning, or GenAI methodologies to improve Reddit safety., • Tactically support product development and go-to-market, from problem framing and exploratory analysis through to experimentation, launch evaluation, and post-launch monitoring., • Stay current on advances in ML, LLMs, and related methods, and evaluate where they can meaningfully improve abuse detection, risk identification, and enforcement workflows., • Translate complex analyses into clear narratives and recommendations for stakeholders, acting as a data storyteller who can influence decisions at all levels of the Safety and Moderation orgs., • Mentor and up-level junior Data Scientists and Analysts in technical approaches for detecting and mitigating abuse, fostering a culture of rigor and curiosity. Required Qualifications: • Relevant experiences in Data Science, Applied Science, or Economist roles, preferably for safety, enforcement engineering, fraud etc., • Ph.D. or M.S. degree in Statistics, Economics, Computer Science, Applied Mathematics or other quantitative fields (If M.S., a minimum of 8+ years of industry data science experience required; If PhD degree, a minimum of 4+ years of industry data science experience required), • Fluent with statistical analysis, programming languages (e.g., Python) and SQL., • Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action, • Strong technical communication and demonstrated ability to discuss complex topics with technical and non-technical audiences alike, • Able to tackle ambiguously defined problems and deconstruct them into precisely scopable components that can be meaningfully addressed with data 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-SP1 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: $217,000 - $303,900 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.

Summary We are seeking a senior data scientist to lead our demand modeling and product advancement efforts. As an early RightsHelper hire, you would help oversee and develop key components of our industry-leading RightsHelper platform. The ideal candidate has experience building and maintaining accurate and interpretable models for pricing, forecasting, or marketing applications in a fast-paced, enterprise environment. Our platform provides a unique opportunity for senior data scientists to work closely with leading sports and live event organizations in developing innovative techniques and advancing their decision-making. Job Functions • Develop (and improve upon) robust and extensible production demand modeling, sales forecasting, pricing, and ticket inventory optimization applications that successfully enable demand-based decision-making across sports and live event organizations., • Support junior Data Science team members in efficiently resolving complex issues that extend beyond existing documentation and guidance., • Perform model calibration processes for select partner organizations; this includes externally interacting with partner analytics leaders and successfully delivering on their specific priorities., • Improve internal and external RightsHelper modeling product documentation and internal process guidance., • Maintain and improve upon codebase with version control, collaboration, and general software development best practices., • Provide strategic input on product development, data collection, data architecture, front-end development, and general business strategy., • Help build a collaborative engineering culture focused on ownership and empathy for our customers. Required Experience • Bachelor’s or Master’s Degree in Statistics, Economics, Mathematics, Operations Research, Computer Science, or a related field., • At least four years of experience in revenue (yield) management, data science, statistical analytics, machine learning, consulting, or a related field., • Familiarity and good judgment with a broad range of modeling methodologies and tools, such as exploratory data analysis, regression models, simulation, discrete choice, optimization, Bayesian statistics, and causal inference., • Demonstrated excellence with statistical programming and development (R required, Python is a plus)., • Experience with using git/version control tools in a collaborative team environment., • Excellent reasoning, problem-solving, deduction, and communications skills., • Demonstrated ability to efficiently identify and solve complex problems in a fast-paced, entrepreneurial environment. Preferences • Experience with cloud computing (e.g. AWS, Docker) is a plus., • Proficiency with SQL and relational databases is a plus., • Knowledge of BI presentation tools and packages (e.g. R Shiny, Tableau, D3), web programming languages (e.g. HTML, CSS, JavaScript), and general programming languages (e.g. C, C++, Java) is a plus., • Knowledge of sports, concert, or ticketing industries is a plus. The base pay for this position is $120,000-$140,000. A bonus will be provided as part of the compensation package. Benefits • Medical, dental, and vision insurance, • 401(k) with employer match, • Paid parental leave (up to 14 weeks), • Flexible PTO About Us RightsHelper is a ticketing analytics and operations platform. Our team includes operators, data scientists, and engineers who have worked inside professional sports organizations and understand the complexity of managing ticketing businesses at scale. We partner with teams and rightsholders across sports and live entertainment to support smarter, more confident decisions—without compromising flexibility, transparency, or control.

Remote (USA) The built world generates more data than almost any other industry. Almost none of it is being used. Rentana is changing that, building the AI copilot for real estate that distills billions of real-world signals into revenue intelligence, so operators can optimize every lever across their portfolio and actually talk to their data. ‍ Our founding team has built four multi-billion dollar software companies and two proptech exits, including Dynasty (sold to AppFolio) and Urbandoor (sold to Airbnb). Our founding engineers include the first engineer at Airtable and the engineer who led the largest code migration in Stripe's history. ‍ Customers love Rentana: we are the top-rated revenue management platform on Revyse, with NMHC Top 50 real estate owners and operators on the platform within 1 year of public launch. Rentana is looking for a talented Software Engineer to join our small but dynamic team. In this role, you will focus on designing and implementing greenfield projects. This would include designing systems to normalize and scale messy third-party data and contributing to analytical and machine-learning models. You’ll collaborate closely with the CTO, CEO and CPO to create solutions that elevate the UI/UX of our platform and streamline our backend infrastructure. If you have a passion for data and a knack for building scalable, user-focused solutions, we’d love to hear from you. Work with the team to design and implement backend systems that manage and organize data efficiently. Develop and maintain data pipelines that support the platform’s data-driven features. Design and implement intuitive solutions through collaborative and autonomous workflows Analyze current and potential metrics, helping to determine which ones are most valuable to track and optimize. Collaborate with the team to establish features that guide product development and user engagement strategies. Participate in both front-end and back-end development to support our customers and customer success team. Design database systems using our existing SQL database and graphql API that perform at scale. Continuously improve the performance, scalability, and reliability of our systems. Implement best practices for data security and integrity throughout the development process. Work closely with the team to iterate on solutions that meet company goals and user needs. Collaborate across teams to ensure that data-driven features are aligned with the overall product vision. Experience building ML models. Experience in multi family real estate. Experience with statically typed programming languages. Experience writing unit, integration and end-to-end tests. The opportunity to be part of a pioneering team in a high-growth industry, shaping the future of AI in real estate. Direct collaboration with the startup’s top leadership, offering a unique insight into business management and strategic decision-making. A competitive salary with equity options. Comprehensive benefits package including health, dental, and vision insurance. Flexible working conditions with the option to work remotely. A dynamic, innovative, and supportive work environment. Fast and Transparent: Speed is a competitive advantage -- but only when paired with transparency. We bias toward action, share information openly, and never let slowness become a default Solve It: We don't hand problems back. We take ownership, figure it out, and deliver. Excellence is at the core of everything we do. Customer Obsessed: Our customers are the reason we build what we build. We listen closely and let real problems drive our product. Candid but kind: We say what we mean, directly and with care. Feedback is a gift. We have the hard conversations, because glossing over the truth doesn't serve anyone.‍ Win Together: We share credit, support each other, and leave the ego at the door. The best idea wins, regardless of who had it. When things go wrong, we fix it together -- no blame, just learning.

LILT in the News LILT listed on the _ for the first time. Check out _. _ "Revolutionizing Content with AI Agents." About Us LILT is the leading AI solution for enterprise translation. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enables global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With LILT, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale. While our core AI technology might share similarities with ChatGPT and Google Translate, it's what we do with it that makes LILT truly revolutionary. Our patented Contextual AI Engine goes beyond basic translations, understanding the nuance of our customer's content and target audience to deliver hyper-accurate, business-focused results. Our connector-first approach seamlessly integrates with our customer's existing workflows, and our human-adapted feedback loop ensures continuous improvement, making LILT a constantly evolving AI partner for your global ambitions. LILT was recently named one of the TOP 100 Software Companies! We’re honored to be recognized by_ as one of the most impactful software companies in the world, ranking #52 on their Top 100 list. LILT is more than a translation solution— it’s a strategic multiplier for global growth, enabling enterprises to unlock new markets, accelerate go-to-market strategies, and deliver seamless multilingual experiences at scale. We empower enterprises to create, translate, and summarize content across text, video, and speech in over 100 languages—all seamlessly integrated with 100+ business systems. Lilt is proud to be trusted by brands like,, the, the,, and hundreds of global Enterprises. LILT is backed by visionary investors including,, and. Where You’ll Work Get the best of both worlds at LILT! Dive into dynamic in-office energy 2 days a week, sparking creativity and forging bonds with your awesome team. Then, seamlessly shift gears and crush your to-do list from the comfort of your home base for the rest of the week. It's the perfect harmony of productivity and personal freedom. Want a peek inside? Visit our _! This position will be based out of our future Boston office and will be expected to work in the office in a hybrid capacity. Authorization to work in the U.S is a precondition of employment. What You’ll Do We are seeking an experienced and dynamic Sr Manager of Invoicing and Collections to lead and transform our invoicing and collections processes. In this pivotal role, you will collaborate closely with Revenue Operations, Sales and the Accounting teams to enhance efficiency and scalability. This position demands both strategic foresight for long-term growth and the ability to execute tactical initiatives effectively. You will be instrumental in identifying opportunities for process improvements and automation, driving change, and achieving outstanding financial performance. Key Responsibilities: Manage the entire invoicing cycle, from preparing invoices to collecting payments Ensure accurate and up-to-date client information related to billing and payments Oversee the invoice process, identifying and resolving any inconsistencies or errors Manage the invoice review process prior to electronically sending them from our system to our customers Track key billing and collection metrics like write-offs, adjustments, and revenue recognition Work closely with other departments, such as Sales and Customer Success, to resolve billing issues Identify and implement improvements to the billing process to ensure efficiency and accuracy Provide vision and strategy around automation and process opportunities. Guide and lead billing systems automation(s). Monitor and report on accounts receivable status, aging, and collections activities. Provide weekly updates on key metrics to Finance leadership and make data-driven recommendations for improvement. Own the end-to-end Sales Tax and VAT compliance process, including registration, rate management, tax determination, filings, audits, and cross-functional coordination to ensure accurate and timely reporting across all jurisdictions. Engage with customers to ensure timely payments and resolve escalations. Support month-end close processes and financial reporting reviews. Assist with internal and external audits, ensuring compliance and accuracy. Ensure preparation and delivery of notices, and other communications regarding delinquent accounts Communicate information changes and the status of delinquent accounts to leadership Skills and Experience: Minimum of 6+ years of experience in Accounting/Invoicing/Collections. Experience in high-growth enterprise SaaS or technology companies is highly desirable. Strong knowledge of invoicing operations and collections techniques. Proficiency in ERP systems Tabs (a plus), Netsuite (a must) and Salesforce (a plus) Proven ability to design and optimize order-to-cash processes. Experience with process automation and systems integration. Excellent organizational abilities, attention to detail, and strong written and oral communication skills. Ability to prioritize tasks, solve problems and take initiative Why You’ll Love LILT Our Story Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. They were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company and left to start a new company to address this need – LILT. At its core, LILT has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, believing that this foundation was imperative to the future of enterprise translation. Benefits: Compensation: At market salary meaningful equity, 401(k) matching, and flexible time off plus company holidays Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability Paid parental leave is provided after 6 months. Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at _. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

HONK is a fast growing technology company disrupting the roadside assistance space. We are a group of out of the box thinkers and doers, driven by an immense passion to challenge the old ways by working together to bring innovative changes that impact the lives of others. We work in a creative environment where everyday is rewarding knowing we’re assisting people in their true moment of need, stuck on the side of roads, helping them get back to conquering their day. HONK is seeking an experienced and versatile fully remote Senior Software Engineer. In this role, you will work closely with our CTO and team of full-stack engineers to design, architect, and build new products and features. From enhancing our back-end RoR systems to scaling our ML-based dispatch platforms, you will drive the technical direction and play a critical role in our continued growth. This is a perfect opportunity for an engineer who thrives in a fast-paced, data-driven environment, iterates quickly, and is eager to have a hands-on role in shaping product development. \n Responsibilities • Collaborate with the CTO and engineering team to design and architect new features and products., • Develop and maintain our back-end dispatch applications using Ruby on Rails., • Improve and scale our real-time, location-based systems and machine learning dispatch systems., • Work across the stack, including building and integrating APIs, improving scalability, and ensuring performance., • Write clean, maintainable code, and review and enforce best practices in system design and coding standards. Preferred Experience • 5+ years of software engineering experience, with a strong background in full-stack development., • Expertise in building highly dynamic web applications in an agile environment., • Proven experience with Ruby on Rails apps, RESTful APIs, and real-time, location-based systems., • Solid understanding of both SQL (PostgreSQL) and NoSQL (Redis) databases., • Hands-on experience with telephony apps (e.g., Twilio) is a plus., • Experience with scalability and performance management of large-scale systems., • Proficiency with modern tools such as Git, Bitbucket, Jira, and continuous integration (CI) pipelines., • Strong communication skills and ability to lead and mentor other engineers. \n$140,000 - $200,000 a year\n At HONK, we're a community of diverse and passionate individuals who believe in the power of remote work and the strength of inclusivity. As a remote-first company, we embrace the boundless possibilities of collaboration and flexibility, allowing our team members to thrive from anywhere in the US. HONK is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions at HONK are based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by law.

As a Territory Sales Representative, you will educate clients, specify products, and visit engineers involved in the Florida market for municipal water tank development and construction. This role involves navigating a territory-wide position with a heavy focus on new business development. It is a remote position that requires extensive on-the-road and overnight travel. The base salary range is $150,000-$160,000. COMPENSATION & BENEFITS: • $150,000 - $160,000 Base Salary, Plus Bonuses, • First year OTE $160,000 - $180,000, • Healthy Benefits - Company paid, • Car Allowance - $10K/year and gas card., • Laptop, • Cellphone, • Business Related/Travel Expense THE COMPANY & CULTURE Our client designs, manufactures, installs, and maintains water towers. Founded in 1974, with a head office in Dallas, Texas, it has over 200 employees and is growing steadily. Its client base includes municipalities and counties across the United States and Canada. The company is recognized internationally and is in high growth mode. OFFICE LOCATION & SALES TERRITORY: • This role is a work-from-home/ outside sales position, • Territory – Florida - State Wide PREFERRED EXPERIENCE & BACKGROUND • 5 - 10 years of sales experience, • Water industry experience, particularly in storage-based systems, • Experience with valves, pumps, metering, or control system sales an asset, • Experience with high-end engineering firms and technical presentations EDUCATION • Post-Secondary TECHNICAL SKILLS • Expert proficiency using Microsoft Office (Word, PowerPoint, Excel)., • Knowledge of technical aspects of engineering and construction as they relate to sales THE PRODUCT / SERVICE / SOLUTION • Municipal Water Tank Development and Construction SALES CYCLE & PRODUCT VALUE • Two to three years, • Project management less than a year., • Average order ranges from $1M-$10M PROSPECTIVE CUSTOMERS / INDUSTRY FOCUS / DECISION-MAKER(S): • Large enterprises, • Municipalities, • Civil engineering firms TYPICAL DAY & DUTIES • Penetrating the market and educating clients. (Florida is an underdeveloped market for our client)., • The primary focus is on civil engineers and those involved in specifying and purchasing municipal water towers., • Proposal preparation, • Build and manage customer relationships with existing and new clients, • Identify growth opportunities and potential strategic partnerships, • Develop and implement sales strategies, • Presentations and speaking engagements with engineers/owners across the state, • Attend trade shows, particularly the Florida AWWA (American Water Works Association) fall event OVERNIGHT TRAVEL: • 50 – 75%overnight travel (two to three weeks per month) SUPPORT & TRAINING • On the Job, • Mentoring/Shadowing, • Online COMPETITIVE ADVANTAGE • A small group of competitors. WHY YOU SHOULD APPLY • Recession-proof product, • Career growth potential, • International Leader OTHER SALES JOBS If this job is not ideal for you, please upload your resume for future consideration at https://justsalesjobs.recruiterbox.com/jobs/61ab37640cd048c4b78dc09bcbf58e04 Or visit our website to view other available sales jobs at https://justsalesjobs.ca/jobs/ ABOUT JUST SALES JOBS Just Sales Jobs sources and places Top Sales Talent from Toronto to Kitchener/Waterloo and Cities in between. We use Artificial Intelligence and Machine Learning technologies along with a proven hiring methodology to identify Top Sales Talent. Just Sales Jobs has earned a reputation as the best recruitment agency in Ontario. We source and place for Sales Positions between Toronto and Kitchener/Waterloo, and cities in between. Sales positions we hire for include, Vice President of Sales, National Sales Director, Sales Director, Director of Sales, Regional Sales Manager, Territory Sales Manager, Sales Manager, Vice President Business Development, Business Development, Business Development Director, Business Development Representative, Business Development Manager, Business Development Officer, Sales Representative, Senior Sales Representative, Sales Development Representative, Account Manager, Account Executive, Senior Account Manager, Telemarketer, Inside Sales, Outside Sales, Door to Door Sales.

IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact every area of human society for the better. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is at the forefront of this technological revolution. We are looking for a Senior Staff Scientist – Quantum Financial Services. As a Senior Staff Scientist – Quantum Financial Services, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. Our ideal candidate would be a thought leader of transformative technologies, subject matter expert in quantitative finance, and expert developer of quantum algorithms that are poised to disrupt the finance industry. You will span wide and dig deep to identify, champion and deliver hybrid applications where IonQ trapped-ion quantum computers can unlock new value. As a role model for a team of PhD application scientists, you will lead by example to develop novel algorithms, core IP and end-to-end workflows that can be incorporated by finance organizations into their workflows. You will also work closely with product, marketing, sales, operations and external customers/partners to brainstorm new ideas, define multi-year roadmaps and represent IonQ at high-visibility conferences. Often in a single day. Responsibilities: • Grow IonQ’s impact and reach across the Financial Services sector by fostering relationships with clients and developing hybrid quantum applications that will deliver commercial impact., • Be an intrapreneur within the company to shape, champion and deliver on a multi-year Quantum Financial Services roadmap., • Lead by example the process of developing state-of-the-art hybrid quantum applications optimized for CPU, GPU and IonQ trapped-ion QPU., • Collaborate across compiler, system, cloud and partner teams to integrate quantum algorithms within larger hybrid software platforms and workflows., • Be a go-to technical leader and decision maker for a team of talented PhD scientists, • Grow the team capacity both through hiring and developing capabilities from within, • While this role is remote-friendly and highly flexible, candidates must be able to travel to global customer sites and attend virtual meetings during non-core hours. You’d be a good fit with: • PhD in Computer Science, Math, Physics, Electrical Engineering or similar level of professional experience in a relevant field, • 13+ years of professional experience or an equivalent combination of education and experience, • 7 years of industry experience developing novel algorithms/applications/software for the financial sector, with increasing impact and degrees of responsibility, • Technical or people leadership experience, including hiring and growing from within, • Track record of scaling up software from research-grade artifacts (Matlab, Julia, R, Jupyter Notebook) to beta-customer to full release. Experience integrating research-grade artifacts into pre-existing code bases, • Active portfolio of high-impact scientific papers in quantum computing, AI or ML with a focus on finance applications You’d be a great fit with: • 10+ years of industry experience developing novel algorithms/applications/software for the financial sector, with increasing impact and degrees of responsibility, • Hands-on experience developing and optimizing quantum algorithms using quantum SDKs such as Qiskit (preferred), CUDA-Q, Cirq, Q#, Penny Lane and Torch Quantum., • Success as an originator and team leader to design, develop and deliver solutions that deliver value to the finance industry, • Professional experience as a trader, quant, FP&A, management consultant, etc., • Professional experience developing quantum algorithms for finance; either on an in-house quantum team within a financial organization, or else working at a quantum vendor serving the financial sector Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US. Travel: Up to 10% with a priority to visit customers and partners Job ID: 1060 The approximate base salary range for this position is $162,920 - $213,304. The total compensation package includes base, bonus, and equity. Compensation will vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Posted base salary figures are subject to change as new market data becomes available. Beyond base salary, total compensation includes a variable bonus and equity component and a range of benefit options found on our career site at _. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. Our US benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, a home internet stipend, and pet insurance! IonQ's HQ is located in College Park, Maryland, a quick 15-minute metro from Washington DC. We are actively building out our recently opened manufacturing and production facility in Bothell, WA (near Seattle). Depending on the position, you may be required to be near one of our offices in College Park, Seattle, or Toronto. However, IonQ will expand into additional domestic and international geographies, so don’t let this stop you from applying! At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. The position you are applying for may require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying U.S.-person status for export controls and government contracts work and/or obtaining any necessary license/confirming the availability of a license exception under U.S. export controls. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!

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 _. We are looking for a Senior Engineering Manager, Agents & Developer Productivity to lead teams building AI-assisted engineering workflows. This role will partner with engineering leaders in infrastructure, developer productivity, security, product engineering, ads, machine learning, and senior technical leadership to make AI-native development safe, measurable, scalable, and effective across Reddit. Reddit is entering a new era of software development. AI and agentic workflows are changing how code is planned, written, reviewed, tested, and shipped. Used well, these tools can help engineers move faster with higher confidence. Used poorly, they can increase complexity, review burden, operational risk, and cost. This role will help Reddit build the path for agentic development: flexible enough for teams to experiment, opinionated enough to protect quality, and measurable enough to prove whether AI is increasing delivered value rather than just activity. Just as importantly, this role will help bring teams along for that change, building trust in new workflows and helping Reddit evolve how we build software together. The Developer Productivity organization builds the platforms, systems, and workflows that enable Reddit engineers to develop, test, review, deploy, and operate software safely and efficiently at scale. We work across infrastructure, AI tooling, developer environments, CI/CD, observability, code review, and software delivery systems to reduce friction, improve engineering effectiveness, and help teams focus on delivering impact for Reddit users. As AI and agentic workflows reshape software development, Developer Productivity is helping define how Reddit builds software in the future. We are creating the foundations for AI-native engineering: scalable platforms for LLM access and evaluation, safe agent workflows, intelligent development environments, and measurement systems that help teams understand whether new tools are improving outcomes, not just increasing activity. We partner closely with engineering teams across Reddit to build paved paths that support experimentation while maintaining the quality, reliability, security, and operational standards required to run Reddit at scale. You will lead teams across Reddit's Developer Productivity and AI portfolio, spanning agent infrastructure, AI-assisted code review, developer environments, LLM governance, developer tooling, AI workflow measurement, and software delivery automation. You will partner deeply with engineering teams as a technical leader, balancing execution, organizational alignment, technical quality, and long-term platform strategy. In this role, you will: • Lead and grow high-performing engineering teams focused on AI-native developer productivity, fostering a culture of technical excellence, ownership, inclusion, and continuous improvement., • Partner with Developer Productivity and Infrastructure leaders to translate strategy into scalable platforms and engineering roadmaps across code review, agent infrastructure, self-service LLM access, evaluation and observability systems, development environments, and safe agent workflows across the software development lifecycle., • Define and evolve the operating model for AI-native software development, including paved paths, platform adoption strategies, governance models, and engineering standards that enable safe and effective experimentation at scale., • Drive alignment across infrastructure, developer experience, reliability, security, compliance, product engineering, machine learning, and executive stakeholders. You will influence across organizations and create clarity across teams with different priorities and incentives., • Build engineering systems and organizational processes that help teams move from experimentation to durable adoption of AI-assisted workflows while maintaining quality, reliability, and operational safety., • Develop communication and enablement mechanisms that bring engineers and leaders along for the journey, including technical strategy reviews, working groups, training, documentation, rollout plans, and clear narratives that connect workflow change to business and engineering outcomes., • Build and operationalize measurement systems that distinguish real productivity from vanity metrics. Partner with engineering and data teams to define metrics such as design-to-test time, test-to-launch time, review turnaround, change failure rate, time to restore service, AI-authored code quality, AI-assisted pull request load, migration throughput, and developer satisfaction., • Drive AI governance and platform adoption in a way that preserves engineering creativity while ensuring security, cost management, privacy, compliance, and operational safety are built into the development lifecycle., • Use technical judgment to challenge assumptions, identify systemic risks, guide architectural tradeoffs, and help teams make pragmatic decisions across AI tooling, CI/CD, code review, deploy automation, developer environments, and production reliability., • Partner with senior engineering leadership on organizational planning, technical investment strategy, hiring, career development, and long-term platform evolution., • You have 10+ years of experience across software engineering, engineering management, infrastructure, developer tools, platform engineering, AI tooling, or related technical domains, including experience leading engineering teams., • You have managed high-performing engineering teams delivering large-scale technical platforms or infrastructure with executive visibility and cross-functional dependencies. You are comfortable operating with senior leaders while still engaging deeply in technical and operational details., • You have deep fluency in developer productivity systems: CI/CD, code review, testing, deployment, observability, developer environments, internal platforms, or AI-assisted development workflows., • You understand AI and LLM-enabled software development beyond personal productivity. You can reason about agent workflows, governance, evals, telemetry, code quality, review burden, cost controls, and operational risk., • You are highly data-driven, but skeptical of shallow metrics. You know how to build measurement systems that connect workflow improvements to business and engineering outcomes., • You are an exceptional cross-functional leader and communicator. You bring people together, create clarity across organizations, build trust across functions, and translate complex technical and organizational change into clear narratives for engineers, managers, executives, and cross-functional partners., • You have led meaningful organizational change, not just technical delivery. You know how to shift behavior across teams by listening to concerns, building confidence, and making the desired path easier and more valuable than the status quo., • You care deeply about engineering quality, operational excellence, and developer experience, and you know how to balance speed with long-term maintainability and reliability., • You get things done. You are not satisfied with status reporting, process theater, or activity metrics. You deliver outcomes and help teams understand the difference between motion and impact., • You are pragmatic and iterative. You can introduce structure without slowing teams down, and you know when a paved path should be adopted through value rather than enforcement., • Experience leading developer productivity, platform engineering, infrastructure modernization, or AI tooling teams at large scale., • Experience with LLM platforms, AI-assisted development tools, agentic workflows, or AI governance in an enterprise engineering environment., • Experience building internal platforms or developer tools where success depends on trust, usability, reliability, and measurable value., • Experience leading organizational transformation, platform adoption, or engineering workflow modernization initiatives across large engineering organizations., • Familiarity with engineering productivity frameworks such as DORA, SPACE, or similar multi-dimensional measurement approaches., • Experience working in fast-moving environments where technical strategy, organizational design, and execution mechanisms are evolving at the same time., • 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 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: $232,500 - $325,500 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.

Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in? We’re Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) Our feature store enables organizations to manage, serve, and monitor features at scale—delivering the foundation that banks, financial services firms, and enterprise customers depend on to power mission-critical machine learning workloads. We’re looking for a Senior Principal Software Engineer to own and drive our feature store product. This is a unique opportunity to shape the technical direction of a product that serves some of the world’s most demanding customers, while building a world-class engineering team. As Senior Principal Software Engineer for our Feature Store product, you will be the driving force behind our platform. You’ll own the technical vision, lead execution, and serve as the primary technical voice with our most strategic customers—including major banks and enterprise organizations with demanding requirements around performance, reliability, and compliance. This role blends deep technical leadership with customer-facing responsibilities. You’ll spend time architecting systems, guiding the roadmap, setting engineering standards, and engaging directly with customers to understand their needs and translate them into product capabilities. Own Technical Excellence: Define and drive the architecture, design patterns, and engineering standards for the feature store platform. Set a high bar for code quality, system reliability, and performance. Lead V2 Implementation: Architect and execute the next generation of our feature store—building for scale, low-latency serving, and enterprise-grade reliability. Guide Product Roadmap: Partner with Product and leadership to shape the technical roadmap. Translate customer requirements and market trends into actionable engineering priorities. Engage with Strategic Customers: Serve as a trusted technical advisor to banks, financial institutions, and enterprise customers. Lead technical discussions, understand their ML infrastructure challenges, and ensure our platform meets their needs. Build & Mentor the Team: Recruit, coach, and develop engineers. Foster a culture of technical excellence, ownership, and continuous improvement. Stay Hands-On: Actively participate in design reviews, code reviews, and critical implementation work. Lead by example in technical decision-making. Drive Adoption of Modern Practices: Champion the use of AI-assisted development tools, observability best practices, and infrastructure automation to accelerate delivery. 8+ years of experience in backend/infrastructure engineering, with demonstrated expertise in building large-scale distributed systems 3+ years in a technical leadership role—leading teams, driving architecture decisions, and mentoring engineers Deep experience with ML infrastructure, data platforms, or feature engineering systems at scale Expertise in Python, Go, and Rust Strong knowledge of cloud platforms (AWS, GCP, Azure) and modern data infrastructure (Kafka, Flink, Redis, Spark, or similar) Experience working with enterprise customers, particularly in regulated industries like financial services Excellent communication skills—able to translate complex technical concepts for both engineering teams and business stakeholders Direct experience building or operating feature stores (Feast, Tecton, Hopsworks, or custom implementations) Experience with real-time feature serving at sub-millisecond latencies Background in financial services, banking technology, or compliance-heavy environments Contributions to open-source ML infrastructure projects Hands-on experience as a data scientist or ML practitioner—training and deploying models in production High-Impact Role: Own a critical product line and directly influence how the world’s leading organizations build ML systems Enterprise Customers: Work with banks, financial institutions, and Fortune 500 companies solving real, complex problems Technical Depth: Tackle challenges in distributed systems, low-latency serving, and ML infrastructure at scale Competitive Compensation: Salary, equity, and comprehensive benefits Flexible Work: Remote-friendly culture with flexibility to do your best work Redis is committed to building a diverse and inclusive workplace. We are an equal opportunity employer and welcome candidates of all backgrounds. #LI-BL1 #Remote As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to _. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the in order to evaluate candidates.

1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Here at 1Password we are deeply committed to customer privacy and security. The Security Team is passionate about our role in that mission and the ideal candidate for this role will share our excitement. Security isn't just a feature at 1Password, it's our foundation. The Security Operations team's mission is to protect the business by securing the systems, tools, and processes that power how we work. Our goal is to keep 1Password productive, resilient, and safe through proactive controls, thoughtful risk management, and continuous improvement. We're looking for a Staff Security Engineer to found and lead the DevSecOps function within our Corporate Security team. You'll have real ownership and latitude to shape how developer security works at 1Password. That means setting the technical vision, driving the standards and controls that engineering teams rely on, and building a well-run program that scales with the organization. This role works in close partnership with Infrastructure Security, and operates at a scope that touches every team that ships code. This role sits within Corporate Security and reports to the Manager of Corporate Security. This is a remote opportunity within Canada and the US. What we're looking for: Minimum of 8 years of combined experience in security engineering, DevSecOps, platform security, or closely related engineering roles, with deep focus on securing developer environments, CI/CD, or software supply chains. Deep, hands-on expertise in GitHub Enterprise security and governance, including branch protections, secret scanning, access controls, repository standards, Actions security, and audit logging at scale. Proven ability to design and implement security controls that integrate into CI/CD pipelines without meaningfully degrading developer velocity. Experience with GitHub Actions and familiarity with how pipeline security scales across a large engineering organization. Solid understanding of software supply chain security within developer environments, including dependency hygiene (npm, pip, and similar), token and secret management, secure package consumption practices, and SBOM generation. Practical experience solving security challenges introduced by AI-assisted and agentic development. We are looking for evidence that you've engaged seriously with the problem: you've made real calls about how to govern AI coding tools in a production environment, defined policy and technical controls for tools like Copilot, Cursor, or Claude Code. Comfortable making architectural decisions that span multiple teams. You set standards and patterns that other engineers adopt; you don't just produce individual deliverables. Experience designing scalable, reusable security controls that prevent entire classes of future problems. Strong scripting and automation skills in Python, Bash, Terraform, or similar, with demonstrated ability to build tooling that scales security controls without proportional manual effort. Ability to build alignment with Platform Engineering and other engineering stakeholders, translate security requirements into developer-friendly implementations, and influence engineering-wide standards without direct authority. A track record of elevating the people around you through mentorship, documentation, and deliberately creating growth opportunities for other engineers. Staff-level impact means the team gets better because you're in it. Experience participating in on-call rotations and contributing to investigations involving developer tooling, source control, or credential exposure. Familiarity is a must, expertise is a nice to have. What you can expect: Own the DevSecOps function: You'll have the latitude and mandate to build a well-run, properly owned developer security program at 1Password. You'll set the technical direction, define the operating model, and drive it with a counterpart in Infrastructure Security. This is a high-ownership, high-impact role, and the decisions you make here will shape how engineering builds securely for years. Own GitHub and CI/CD security: Lead the program to harden 1Password's GitHub Enterprise environment and CI/CD pipelines. This includes governance frameworks, repository standards, Actions security, audit visibility, and the controls that make secure defaults the easy path for engineering teams. Define AI-assisted development security: As 1Password's engineering teams adopt AI coding tools and agentic workflows, you'll own the security model for how that happens. You'll build the guardrails, define the governance standards, and ensure that agentic and AI-generated code workflows meet our risk and compliance requirements. This is a genuinely novel problem space and you'll be setting the direction, not following a playbook. Harden the software supply chain: Drive and work with partner teams on improvements to dependency hygiene, secret management practices, token governance, and secure package consumption across the engineering organization. Design controls that scale and that teams can adopt with minimal friction. Set standards engineering teams actually use: Build secure templates, baseline configurations, and developer-friendly guardrails that engineering teams adopt because they make their work easier, not just because security requires it. Good DevSecOps is invisible when it works. Partner with Platform Engineering: Work closely with Platform Engineering as a peer-level security partner, ensuring that developer tooling and platform infrastructure evolve with security embedded in the design rather than added after the fact. Elevate the team and the org: Mentor engineers across Corporate Security and the broader Security Operations organization. Actively distribute ownership to scale your impact and create growth opportunities for others. Contribute to the hiring process and help develop how we assess candidates. Support Corporate Security operations: Participate in the Corporate Security on-call rotation. Contribute to investigations involving developer tooling, credential exposure, or workflow misuse when they arise. USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $167,000 CAD and $242,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. #LI-REMOTE As a Solutions Architect on the Digital Natives team, you will work with the leading data engineering, data science & ML teams in the market to push the boundaries of what big data architectures are capable of. Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale. Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable. The impact you will have: • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems., • Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts., • Continuously research & learn new technologies and their implementations on Databricks, • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications, • Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers, • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community., • Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions., • Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms. What we look for: • 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role, • Experience building distributed data systems, • Comfortable programming in, and debugging, Python and SQL, • Have built solutions with public cloud providers such as AWS, Azure, or GCP, • Expertise in one of the following:, • Data Engineering technologies (Ex: Spark, Hadoop, Kafka), • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow), • Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities., • Available to travel to customers in your region, • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research), • Nice to have: Databricks Certification NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

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. As Head of Customer Experience at Tiger Data 🐯, you will lead the teams responsible for how customers adopt, grow, troubleshoot, and succeed with Tiger Data after they buy. This is a pivotal role for a pivotal moment. Tiger Data is expanding into larger enterprise accounts, and we need a senior customer leader who can help us build the operating system for that next stage of growth: how we serve customers, how Customer Success and Technical Support work together, how we partner with Pre-Sales and Implementation, how we surface customer signal back into Product and Engineering, and how we turn great customer experience into retention, expansion, and trust. This is not a “manage from the sky” role. You’ll lead managers and build scalable systems, but you’ll also be close to the work: jumping into customer escalations, pressure-testing processes, coaching leaders, inspecting account health, and helping the team make crisp decisions when the playbook is still being written. We need someone who can zoom out to design the system, then zoom back in to fix the handoffs, coach the team, and help unblock a customer escalation. You will report to our VP of Engineering and lead the Customer Success and Technical Support organizations. 📍 This role is remote. We are open to candidates in North or South America. Due to the distributed nature of our team and customer base, flexibility working across Europe and US time zones is a requirement. What you will be responsible for in this role: Leading Tiger Data’s Customer Success and Technical Support organizations, including managers and highly technical customer-facing teams. Building and operationalizing Tiger Data’s customer experience strategy for our next phase of growth, especially as we expand into larger enterprise accounts. Partner to define clear ownership across Customer Success, Technical Support, Pre-Sales, Implementation, Sales, Product, and Engineering so customers experience one Tiger Data team, not internal handoffs. Designing customer segmentation, engagement models, escalation paths, support coverage, success planning, health scoring, and renewal/expansion motions that scale. Driving measurable improvements in adoption, retention, gross revenue retention, net revenue retention, expansion, customer satisfaction, time-to-resolution, support quality, and executive visibility into customer health. Acting as the executive voice of the customer internally, turning customer trends, escalations, support patterns, and adoption signals into clear recommendations for Product, Engineering, GTM, and company leadership. Building the next generation of customer operating rhythms: QBRs/EBRs, escalation reviews, customer health reviews, renewal risk reviews, expansion planning, support quality reviews, and executive customer reporting. Coaching and developing managers while staying hands-on enough to understand the reality of the team’s work, customer pain points, and operational gaps. Using AI thoughtfully to improve the customer experience and team productivity, including support workflows, knowledge management, customer health insights, escalation analysis, team enablement, and customer communication quality. Hiring, developing, and retaining high-performing customer leaders and individual contributors who can operate with urgency, technical curiosity, ownership, and customer empathy. Building systems and processes that make the team sharper, faster, and more accountable, without slowing down the startup pace that makes Tiger Data work. You could be a great fit if you: Have significant experience leading Customer Success, Technical Support, Customer Experience, or post-sales teams in a high-growth B2B SaaS, infrastructure, database, developer tools, cloud, or technical platform company. Have managed managers and led teams that include highly technical customer-facing talent, such as Technical Support Engineers, Customer Success Managers, Solutions Engineers, TAMs, or similar roles. Have built or transformed post-sales operating models for enterprise customers, including segmentation, health scoring, adoption motions, renewal risk management, support models, escalation processes, and expansion partnership with Sales. Understand how to serve technical customers. You do not need to be an engineer, but you need enough technical depth to build credibility with database, infrastructure, platform, and developer audiences. Can operate at both strategic and tactical altitude: you can define the customer experience vision, communicate it to executives, and then jump into the messy details of churn risk, support escalations, or broken handoffs. Have strong executive presence with customers and internal leaders, including the ability to navigate high-stakes escalations, renewals, expansion conversations, and roadmap trade-offs. Know how to partner deeply with Sales, Pre-Sales, Implementation, Product, and Engineering without creating turf wars. You clarify ownership, reduce friction, and make the customer journey easier to run. Are highly metrics-driven and can use data to diagnose customer risk, support quality, adoption patterns, renewal health, expansion opportunities, and team performance. Have strong AI fluency and curiosity. You are already using, testing, or designing AI-enabled workflows to improve productivity, insight quality, customer communication, knowledge management, or operational scale. Are a strong talent builder: you know how to coach managers, set a high bar, give direct feedback, build accountability, and create a team culture that is both high-empathy and high-performance. Thrive in a startup environment where the job is not just to “own the function,” but to build the function while the company is moving fast. Believe that organizations are strongest when they reflect the diversity of the world around them and actively work to make that a reality. You might not be a great fit if you: You want a fully mature enterprise CS and Support machine where the systems, roles, handoffs, dashboards, and escalation paths are already neatly defined. You prefer to manage through layers and dashboards instead of getting close to customers, managers, tickets, escalations, renewal risks, and process gaps. You are uncomfortable with technical products or do not want to learn deeply about databases, PostgreSQL, cloud infrastructure, performance, reliability, or developer/customer workflows. You see Customer Success, Technical Support, Sales, Implementation, Product, and Engineering as separate lanes rather than a single, connected customer experience. You are more comfortable creating a strategy than driving execution, inspecting the work, and holding teams accountable for outcomes. You struggle in fast-moving startup environments where priorities shift, information is imperfect, and leaders are expected to make clear decisions without waiting for perfect structure. You are not excited about using AI to improve how customer-facing teams operate, learn, respond, and scale. 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. 🚀🐯

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, Gauntlet manages risk and incentives covering over $42 billion in customer TVL. Gauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution — including academic institutions — in terms of peer-reviewed papers addressing DeFi as a subject. We’re a Series B company with around 75 employees, operating remote-first with a home base in New York City. Our mission is to drive adoption and understanding in the financial systems of the future. The unique challenges of decentralized systems call for innovative approaches in mechanism design, smart contract development, and financial product utilization. Gauntlet leads in advancing this knowledge, ensuring safe progression through the evolving landscape of financial innovation. We are seeking highly skilled and motivated Quantitative Software Engineers to join our team. The ideal candidate possesses strong statistical and engineering skills, a passion for problem-solving, and the ability to work effectively in a fast-paced and collaborative environment. Responsibilities: Designing and implementing strategies for managing risk and optimizing DeFi protocols using quantitative models, simulations, and machine learning. Develop tools and engines for parameter recommendations and drive impact to protocols. Own the whole lifecycle of protocol integrations, including building data pipelines, working closely with cross-functional teams to define the data requirements and product offering. Architect and refine data models and structures to support the evolving needs of DeFi analytics, simulations, methodologies and research development. Contribute to making our core modeling platform world-class. Maintain up-to-date knowledge of the latest industry trends, technologies, and techniques in software engineering. Optimize Aera guardian logic to improve risk-adjusted yields, trade execution quality, and capital efficiency of strategies such as Protocol-Owned Liquidity for Aera Vaults. Collaborate with other cross-functional teams, including internal and external teams Stay current with the latest industry trends, market risk vectors, and market conditions to ensure that Aera strategies stay on the cutting edge of crypto and DeFi innovation. Bonus Points: Contribute to the forefront of DeFi economic understanding and optimization. Work on projects that value deep research, quality, and practical outcomes. Collaborate with a team committed to defining future financial systems. Master’s or Ph.D. in Quantitative fields like Mathematics, Economics, Computer Science, Physics, or similar fields is a plus. Benefits and Perks Remote first - work from anywhere in the US & CAN! Competitive packages with the added opportunity for incentive-based compensation Regular in-person company retreats and cross-country "office visit" perk 100% paid medical, dental and vision premiums for employees Laptop provided $1,000 WFH stipend upon joining $100 per month reimbursement for fitness-related expenses Monthly reimbursement for home internet, phone, and cellular data Unlimited vacation policy 100% paid parental leave of 12 weeks Fertility benefits Qualifications Minimum 4 years of direct hands-on experience trading or analyzing financial markets (crypto or traditional) professionally. Experience developing statistical or quantitative models for financial markets. Understanding of blockchain and DeFi protocols, concepts, and best practices (or a strong desire to learn). Proficient at writing code in Python and SQL with a solid understanding of software engineering principles. Knowledge of workflow orchestration (e.g., Dagster, Airflow) and distributed data processing technologies (Spark). Excellent understanding of statistical modeling, machine learning, and optimization algorithms. Experience with scientific computing packages such as Numpy/Scipy, Pandas, etc. Ability to quickly internalize abstract concepts in new domains, coupled with strong problem-solving skills and attention to detail. Ability to work independently and within a team, manage multiple projects, and meet deadlines. Strong communication skills and the ability to work collaboratively in a distributed team environment. Your application has been successfully submitted! _ We appreciate your interest in this position. Unfortunately, you have already applied for this job.

At NerdWallet, we’re on a mission to bring clarity to all of life’s financial decisions and every great mission needs a team of exceptional Nerds. We’ve built an inclusive, flexible, and candid culture where you’re empowered to grow, take smart risks, and be unapologetically yourself (cape optional). Whether remote or in-office, we support how you thrive best. We invest in your well-being, development, and ability to make an impact because when one Nerd levels up, we all do. Staff Data Scientist leads machine learning and decisioning systems powering personalization, lifetime value (LTV) prediction, and real-time commercial optimization across our marketplaces. This role is responsible for designing and scaling causal measurement and personalization systems that determine how we serve users while balancing customer value, partner economics, and long-term trust. As a senior individual contributor, you will drive high-impact modeling initiatives and shape the technical direction of data science across the organization. You are a technical expert and strategic partner who operates with significant autonomy and influence. As a Staff Data Scientist, you set the standard for scientific rigor, mentor senior ICs, and guide cross-functional teams without formal authority. You partner closely with Product, Engineering, Marketing, and Finance to align data science investments with business strategy, while shaping long-term vision for AI-driven personalization and marketplace optimization. This role reports to the VP, Data & Analytics. Lead the design and implementation of causal inference frameworks (e.g., uplift modeling, DML, IVs, DiD, synthetic control) to measure true incremental impact across personalization, marketing, and lifecycle interventions Establish and standardize methodologies for incrementality, experimentation, and measurement across channels and product surfaces Build and scale LTV models (user-level and cohort-based), including churn-adjusted and horizon-specific approaches, for real-time decisioning Develop and deploy personalization models that influence ranking, offer selection, content sequencing, and monetization strategies at the moment of user intent Ship production-grade machine learning models that directly drive revenue outcomes, including marketplace optimization, partner routing, and budget allocation Translate predictive outputs (e.g., conversion propensity, incremental CPA, expected LTV) into decision-ready signals for real-time systems Partner with Data Engineering and Platform teams to define data instrumentation, feature stores (batch and streaming), and model monitoring frameworks (drift, bias, stability) Influence architectural decisions across modern data and ML platforms (e.g., Snowflake, Databricks, Spark, real-time inference systems) Provide technical leadership across teams by setting best practices for experimentation, modeling, code quality, and reproducibility Mentor and develop senior and mid-level data scientists, raising the overall technical bar across the organization Communicate complex analytical insights and trade-offs to executive stakeholders, translating findings into actionable business strategies Shape long-term strategy for personalization, experimentation, and AI-driven growth at NerdWallet 8+ years of experience in applied machine learning, causal inference, experimentation, or related quantitative fields Deep expertise in causal inference methodologies (e.g., uplift modeling, doubly robust learners, instrumental variables, difference-in-differences, synthetic control, Bayesian time series) Proven experience building and operationalizing LTV models for real-time or near-real-time applications Strong software engineering and production ML experience, including Python (pandas, numpy, scikit-learn, LightGBM/XGBoost) and PySpark, Advanced SQL Experience with distributed systems and modern data platforms (e.g., Snowflake, Databricks, Spark, AWS/GCP/Azure), Version control and ML lifecycle tools (e.g., Git, MLflow) Hands-on experience with experimentation frameworks, A/B testing, and statistical diagnostics (e.g., power analysis, bias detection) Demonstrated success deploying models that materially impact revenue, efficiency, or user experience Exceptional communication skills with the ability to influence Product, Marketing, Finance, and executive stakeholders Strong strategic thinking and ability to operate in ambiguous, high-impact problem spaces Preferred Qualifications: Experience with marketplace optimization, ranking systems, or auction-based environments Familiarity with contextual bandits, reinforcement learning, or sequential decision-making systems Knowledge of streaming data architectures (e.g., Kafka, Kinesis), orchestration tools (e.g., Airflow, DBT), and feature stores (e.g., Tecton, Feast) Domain experience in fintech, marketplaces, growth, or performance marketing This role will be remote (based in the U.S.). We believe great work can be done anywhere. No matter where you are based, NerdWallet offers benefits and perks to support the physical, financial, and emotional well being of you and your family. Work Hard, Stay Balanced (Life’s a series of balancing acts, eh?) Industry-leading medical, dental, and vision health care plans for employees and their dependents Rejuvenation Policy – Flexible Vacation Time Off + 11 holidays + holiday company shutdown New Parent Leave for employees with a newborn child or a child placed with them for adoption or foster care Mental health support Paid sabbatical after 5 years for Nerds to recharge, gain knowledge, and pursue their interests Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution Monthly Wellness Stipend, Cell Phone Stipend, and Wifi Stipend (Only remote Nerds are eligible for the Wifi Stipend) Work from home equipment stipend and co-working space subsidy (Only remote Nerds are eligible for these stipends) Have Some Fun! (Nerds are fun, too) Nerd-led group initiatives – Employee Resource Groups for Parents, Diversity, and Inclusion, Women, LGBTQIA, and other communities Hackathons and team events across all teams and departments Company-wide events like NerdLove (employee appreciation) and our annual Charity Auction Our Nerds love to make an impact by paying it forward – Take 8 hours of volunteer time off per quarter and donate to your favorite causes with a company match Plan for your future (And when you retire on your island, remember the little people) 401K with 4% company match Be the first to test and benefit from our new financial products and tools Financial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar Disability and Life Insurance with employer-paid premiums If you are based in California, we encourage you to read this important information for California residents linked_. NerdWallet is committed to pursuing and hiring a diverse workforce and is proud to be an equal opportunity employer. We prohibit discrimination and harassment on the basis of any characteristic protected by applicable federal, state, or local law, so all qualified applicants will receive consideration for employment. NerdWallet will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act and the San Francisco Fair Chance Act, which requires this, as well as the Los Angeles Fair Chance Act, which requires this. NerdWallet participates in the Department of Homeland Security U.S. Citizenship and Immigration Services E-Verify program for all US locations. For more information, please see: E-Verify Participation Poster_) Right to Work Poster / #LI-Remote

1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. AI-Assisted Screening Notice (Pilot Program) 1Password is currently piloting an artificial intelligence (“AI”) powered interview tool for this role. If you are selected to move forward in the hiring process, you may be invited to complete an AI-facilitated interview as an initial screening step. This tool may record, transcribe, summarize, and analyze your interview responses to assist our recruiting team in evaluating candidate qualifications. All interview outputs are reviewed by a human recruiter, and no hiring decision will be made solely on the basis of an automated decision. Information collected through this process will be handled in accordance with our _. At 1Password, AI isn't just something we build around, it's something we actively embrace and think critically about. We believe that meaningfully engaging with AI in its current forms helps us build better solutions for our customers and creates the foundation for what comes next. This pilot is a reflection of that same approach applied to how we hire: we're exploring AI thoughtfully, learning from it, and using it in ways we believe add real value. Developer Platform sits within the broader Developer and AI org, focused on helping developers and AI Agents securely access secrets wherever they build and run their tooling and we are currently looking for a Developer Intern, Client Secrets Management to join us for the Fall semester. We own foundational experiences like the 1Password CLI, SSH agent, and , enabling secure workflows across local and cloud environments. Recently, the team has shipped features such as developer environments and to reduce friction and speed up development. Our work directly supports developers building modern tools while keeping security seamless and reliable. This is a remote opportunity within Canada or the US. This position will be for 4 months - September to December 2026. What You Can Expect: As a Developer Intern on the Client Secrets Management, you will be an active, contributing member of the team with real ownership over your work. Responsibilities include: Learn and grow through hands-on development work, supported by steady mentorship from experienced engineers. Contribute to meaningful features and improvements across our platform rather than working on isolated or “side” tasks. Collaborate closely with teammates, ask questions, and share ideas, your input matters regardless of title or experience. Actively participate in team discussions, code reviews, and problem-solving. What we're looking for: Confidence: A willingness to take on new challenges, and see them through to completion. Humility: You're not afraid to ask "stupid" questions and make mistakes (as long as you learn from them). Curiosity: You look for better ways of doing things, even if everyone seems happy with how they are. Teamwork: We work together, and succeed as a team! Bonus points for: Experience with Rust, Go, or TypeScript. Familiarity with building or working on SDKs, CLIs, or developer tooling. Exposure to both frontend and backend development. Experience working in collaborative codebases (PRs, code reviews, shared ownership). Interest in developer experience, security, or platform engineering. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged at 1Password—it's an essential part of how we will be successful at 1Password. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of most roles. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Generous PTO policy - 2.08 days per month (1.5 work weeks per 4 month term) Company-wide wellness days (1 per quarter) Employee-led inclusion and belonging programs and ERGs Remote-first environment Peer-to-peer recognition through Bonusly 1Password University access and learning sessions Monthly internship events and socials 1Password is part of _ , a comprehensive group of Canadian tech firms with performance and growth rates that match the top 1% of companies worldwide – companies with the highest probability of reaching $1 billion in annual revenue. We believe in tech for good, and establishing Canada as a preferred destination for growing careers wherever we can! You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

What Makes Us Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. How You'll Make an Impact: As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond. Our Distribution Team: We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here. What You Bring to the Team: • Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform, • Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem, • Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle, • Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards, • Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions, • Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision, • Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement, • Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes, • Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base What Sets You Up for Success: • 5+ years of PHP web application software engineering experience, • 5+ years of experience with JS frameworks, Vue.js and React are preferred, • Solid experience with modern JavaScript/TypeScript, • Strong hands-on experience with Docker and containerized development workflows, • Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies, • Strong understanding of security considerations, particularly for applications handling financial transactions and personal data, • Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development, • Proven track record of taking ownership of projects and delivering results independently, • Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team Bonus Skills to Stand Out: • Experience designing and building microservices and/or micro-frontends, • Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony), • Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD, • Experience working with event-driven architectures and messaging systems (e.g., Kafka) Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000 What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at _ Company _ to Check Out! • Best All-In-One Hotel Management System | HotelTechAwards (2025), • Overall 10 Best Places to Work | HotelTechAwards (2025), • Most Loved Workplace® Certified (2024), • Top 10 People’s Choice(2024), • Deloitte Technology Fast 500 (2024) Discover our Benefits: • Remote First, Remote Always, • PTO in accordance with local labor requirements, • Monthly Wellness Fridays - enjoy an extra long weekend every month, • Full Paid Parental Leave, • Home office stipend based on country of residency, • Professional development courses in Cloudbeds University, • Access to professional development, including manager training, upskilling and knowledge transfer. Everyone is Welcome - A Culture of Inclusion Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at _. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications. #LI-REMOTE

Please note: Due to high application volume, we’re unable to respond to messages or accept resumes sent through email or other platforms. Please apply through this page only! About Confiant Confiant is cybersecurity built for advertising. We secure the ad economy from the inside out, providing real-time intelligence and precise controls that detect and block malvertising, scams, disruptive creatives, and compliance risks before they reach users. By disrupting the business models of bad actors, Confiant empowers digital media to enforce standards, ensure quality, and uphold trust across the ad economy. We protect what matters most — revenue, reputation, and relationships — securing the foundation that allows good advertising to thrive. About The Team We believe that engineers solve problems end-to-end. From researching the problem to customer interaction, collaboration across design and product management teams, iterating on team processes, and participating in the on-call rotation, engineers are an integral part of our team and own the end-to-end of shipping amazing products to customers. We fundamentally believe that software works better when engineers own the whole lifecycle of solving problems for our customers. We work every day to reflect these beliefs in our culture and teams. We are a 100% virtual company, and all our team members work from home worldwide. We support optional monthly gatherings in New York City (our original home) and quarterly on-sites in various locations across the world in order to maintain the human connection and trust required to be a high-performing organization. Role Overview We are seeking tenured Full Stack Software Engineers with 8+ years of experience to support and help grow our Core Engineering Team, owning all core systems for the business. This includes high-scale, high-availability systems that power all business functions and several customer-facing Admins and UIs. In this role, you will collaborate with engineers and across teams on a broad range of responsibilities. You will help design and develop scalable solutions and help continuously improve the product, practices, and architecture. You will be a prolific contributor to core projects, experimental work, and technically driven initiatives. When presented with a complex problem, process, or existing system, you must consistently demonstrate the ability to reduce complexity, to get more done with less work. Key Responsibilities Build scalable applications with well defined architectural patterns. Rapidly debug production issues. Solve complex technical problems. Collaborate with cross-functional teams. Implement innovative solutions into current and greenfield products. Experience & Qualifications Deep knowledge of multiple programming languages, expert in at least one (Python, PHP or Javascript). In depth knowledge of many modern software engineering paradigms and models, including OOD, functional programming, design patterns, etc. Experience across various technologies and frameworks (Puppeteer, ReactJS, Symphony, Flask, etc.). Broad understanding of AWS/Cloud Infrastructure and deep specific experience with one or more areas of designing, deploying, and managing cloud infrastructure is preferred. Able to work within 5 hours of EST, either 5 hours ahead or 5 hours behind. Leveling Engineer V: Minimum of 8+ years of experience and significant maturity solving complex problems across various technical domains, communicating with/through Product and being a force multiplier for your engineering team as well as proven experience in setting engineering practices and principles within a working environment. Engineer VI: Minimum of 10+ years of experience and significant maturity solving complex problems across various technical domains, communicating with/through Product and being a force multiplier for the entire engineering org as well as proven experience owning the evolution of engineering practices and principles within an engineering organization. AdTech or Security experience is a plus, but not required. Benefits Fully Remote Unlimited Paid Time Off Sabbatical Stock Option Plan Exceptional Health Care Plans (Medical, Dental & Vision) FSA & Commuter Benefits Employee Sponsored Disability & Life Insurance 401(k) Plan with Automatic Employer Contribution Enhanced and Extended Family Leave Learning & Development Budget Yearly Office Supply Stipend Free Global Co-Working Membership Confiant may use artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications. These AI/ML tools assess applications against the characteristics and qualifications relevant to the job requisition. These tools are designed to help identify potentially qualified candidates, but they do not make automated hiring decisions. The AI/ML-generated assessments are one of several factors considered in the hiring process. Our human recruiters thoroughly evaluate your skills and qualifications to determine your suitability for the role. If you are a New York City resident, you have a right to take at least 10 business days to decide whether to proceed with submitting your information through this process. By continuing, you confirm your understanding of this notice. If you choose to proceed before the 10-business-day period expires, you are making a knowing and voluntary decision to do so.

You will collaborate with researchers to perform research operations using existing infrastructure. You will use your judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems. Specifically, you will: Characterize neural network quality, failure modes, and edge cases based on research data Maintain awareness of current trends in relevant areas of research and technology Coordinate with researchers and accurately convey status of experiments Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines Review experimental results and suggest theoretical or process improvements for future iterations Write technical reports indicating qualitative and quantitative results to external parties You have: A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it! Proficiency in Python Proven ability to thrive in fast-paced environment Ability to communicate complex technical concepts to colleagues and a variety of audience Introspection, thoughtfulness, and detail-orientation The following are a plus, but not required: Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field Experience reading research papers and implementing the techniques therein Computer vision and deep learning experience The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission. We offer: Competitive health insurance options 401K plan management Free lunch and fully-stocked kitchen in our South Bay office Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale The opportunity to work on one of the most interesting, impactful problems of the decade _ is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of are considered the property of and are not subject to payment of agency fees.

About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About the Role: We are seeking an experienced Machine Learning Engineer (MLE) to focus on audio model evaluation, specifically for speech generation and recognition models. This role involves designing and developing comprehensive model evaluation pipelines for both development and production environments, as well as creating automated dashboards for reporting evaluation results. As the founding member of our evaluation team, the ideal candidate is expected to leverage their experience to lead our evaluation efforts and play a key role in the future growth of the evaluation team. What You’ll Do: Designing model evaluation pipelines for models in development and production Designing user studies for subjective model evaluations. Converting requirements into measurable metrics. Designing and developing automated evaluation dashboard to see model performances and compare results. Training new models to capture new and different evaluation metrics. Communicating with the model team to help design better models based on the evaluation results. Communicating with the data team to help decide the type of data necessary to improve model performance. Communication with the product-manager to make sure product requirements are correctly measured. Help grow the evaluation team as the founding member. Lead the evaluation team in the future. What You’ll Bring: Strong experience and intuition for designing metrics that capture model performance. Strong experience with designing user studies on Mechanical Turk or similar platforms. . Strong experience with model training and fine-tuning for model evaluation. Strong statistical knowledge and experience to statistically compare evaluation results and take decisions. Very strong engineering and programming skills. Experience with training ASR, TTS models. Experience at ML teams working on large-scale machine learning problems. (>3B models with >1m hours of data)