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Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity The Opportunity The Military Apprentice Appraiser completes a 6–9-month training class with structured learning targets that includes classroom, self-study, and OJT elements. The Apprentice Appraiser will receive routine evaluations focused on assessment of learning and development combined with the ability to demonstrate associated performance requirements. This program teaches the skills necessary to evaluate and analyze auto physical damage from photos combined with the facts of loss to develop an accurate estimate for repairs. Candidates who successfully complete this program will be evaluated for placement into an Auto Appraiser job. What you'll do: • With supervision, utilizes digital tools to evaluate and appraise low complexity (drivable, material loss, auto physical damage) auto claims in accordance with the terms and conditions of the contract, corporate guidelines, and state laws and regulations., • Investigates claim damages., • Demonstrates basic knowledge of P&C insurance industry products, services, contracts, and internal processes/systems/procedures to ensure compliance., • Identifies coverage concerns, reviews prior loss history, determines, and creates Special Investigation Unit (SIU) referrals, when appropriate., • Maintains accurate and current claim file documentation throughout the claims process for low complexity claims., • Explains coverage, assists policyholders with information on repairs and describes the settlement process, setting appropriate expectations. Issues settlement amounts for damages claimed., • Supports workload surges and/or Catastrophe Operations as needed which may involve volunteering for extended hours., • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: • High School Diploma or General Equivalency Diploma., • Up to 1 year of customer service experience., • Prior or current military service and/or military spouse, • Acquisition and maintenance of insurance adjuster license within 90 days and designated number of attempts What sets you apart: Military background highly preferred, specifically: • Mechanical Aptitude (Vehicle Maintenance, Fleet Services, Technical Inspection):, • Army/National Guard: MOS 91 series (e.g., Wheeled Vehicle Mechanic, Tracked Vehicle Repairer), or other related mechanical jobs., • Marine Corps: MOS 3521 (Motor Vehicle Mechanic), 3531 (Maintenance Management Specialist). Or other related mechanical jobs., • Air Force: Related AFSC (Air Force Specialty Code) in vehicle or aviation maintenance., • Investigative and Troubleshooting Background (Military Intelligence, CID, OSI, Military Investigative Experience):, • Strongly Preferred: Experience as a Criminal Investigation Division (CID) Special Agent (Army MOS 31D or Marine Corps 5821), Air Force Office of Special Investigations (OSI) Agent (Air Force Enlisted Code 7S), or in a Military Police (MP) investigative role (Army MOS 31B, Marine Corps 5811) or other investigative, troubleshooting jobs., • Experience in diagnosing complex system failures (mechanical, electrical, etc.) and implementing effective repair solutions. Demonstrable ability to apply investigative techniques to isolate root causes., • Familiarity with technical inspection procedures and meticulous documentation practices, including chain of custody procedures when applicable., • Experience in conducting interviews, gathering evidence, and preparing detailed reports is a significant asset., • Prior experience with root cause analysis (RCA) methodologies is a plus., • Good understanding of guidance (SOP’s) Physical Demand Requirements: • May require the ability to operate a company vehicle within assigned territory., • May require the ability to reach, handle, squat, bend, climb, and kneel as needed to complete inspections of damaged vehicles., • May require the ability to work outdoors in inclement weather conditions; May be exposed to working in body shop and/or salvage yard environments up to 25% of the time., • May be required to meet all USAA safe driving requirements including verification of driving record through MVR & possession of valid driver’s license. Compensation range: The salary range for this position is: $45,470- $81,490. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, disability, or status as a protected veteran.

• Standard Operating Hours: 8am to 7pm, • Will work between multiple stores in the district., • Bilingual Spanish preferred., • Sundays: 10am - 4pm Compensation Starting Pay Range: $17.00 - $20.00 Hourly The Assistant Store Manager plays a pivotal role in supporting the daily operations of one or more self-storage locations, under the guidance of the District Manager and Store Manager. This role ensures the facility meets high cleanliness standards and consistently delivers operational excellence. The Assistant Managers are accountable for building customer relationships through in-person and phone interactions, presenting a structured sales process, and managing customer accounts. Extra Space Storage is the largest self storage company in the United States by store count, with over 4,000 stores nationwide. If you’d like to grow with us, you should consider joining the team. We look for employees who are reliable, good communicators, and have a passion for helping people. Benefits We Offer You * A work/life balance that includes daytime hours with the potential for Sundays off (dependent on location) * Outstanding company culture with growth opportunities throughout the U.S. * Competitive starting pay. * Paid Time Off accrued throughout the year, increasing with years of service. * Generous 401(k) match with Traditional and/or ROTH choices. * Affordable medical benefit options with up to a $1k annual Health Savings Account employer contribution. * EXTRA Healthy Wellness Program with rewards towards your medical premium. * BenefitHub discounts: apparel, auto, electronics, entertainment, pets, travel, etc. Your Responsibilities * Build and maintain strong customer relationships by identifying storage needs and providing tailored solutions. * Maximize sales objectives through unit rentals, unit insurance, and moving supplies. * Ensure our highest standards of cleanliness are met through continuous maintenance (e.g., sweeping, mopping, grounds maintenance, etc.) of the site, including the office, and the interior and exteriors of the storage building and surrounding areas. * Perform daily site safety inspections, including lock checks. * Address and resolve customer concerns related to billing, security, auctions, and proper site usage * Handle cash transactions, balance receipts, follow up on delinquent payments, process customer payments, and complete daily bank deposits. * Protect our strong company culture by establishing and maintaining professional relationships with all Extra Space employees. * Perform additional duties as assigned. Your Qualifications * 1+ year of customer-facing work experience . * Sales experience preferred. * Current valid driver’s license and access to a reliable personal vehicle; except in New York City and Brooklyn. * High School diploma or GED is required; college education is a plus. Work Environment & Physical Requirements * Perform indoor and outdoor job responsibilities ranging from sedentary desk work to physical job duties with varying physical demands and exposure to seasonal weather conditions. * Regular tasks include standing, walking, climbing stairs, bending, sitting, and lifting. * Regularly required to lift or move items up to 35 lbs. and occasionally up to 50 lbs. Find additional career opportunities at careers.extraspace.com If you have experience in any of the following types of jobs, we encourage you to apply: Sales Associate, Customer Service Representative, Retail Associate, Store Associate, Hospitality and Hotel, Front Desk Agent, Leasing Agent, Rental Agent (i.e. car rental, RV rental, storage rental, apartment rental, etc.) Property Management, Retail Sales, Retail Sales Lead or Team Lead, Cashier/Sales, Sales Specialist, etc. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Applications Deadline: Applications will be accepted until the position is filled. The posted pay range for this position may include values below the applicable minimum wage. Extra Space complies with all federal, state and local wage laws and does not pay employees below the legally mandated minimum wage.

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.

Are you a seasoned technical leader who thrives at the intersection of AI innovation and enterprise impact? Do you excel in architecting scalable AI systems while mentoring teams to push the limits of what's possible with large language models (LLMs)? Are you passionate about delivering transformative solutions using cutting-edge AI paradigms like Retrieval Augmented Generation (RAG), AI Agents, and custom model fine-tuning? If so, we invite you to apply to join our forward-thinking AI Platform Team. As a Senior Staff Engineer Full Stack Engineer at Ridgeline, you will play a strategic role in shaping our AI capabilities, setting the technical vision, and delivering game-changing tools for the investment management industry. With your deep expertise in AI systems, you’ll lead efforts to solve complex challenges, enhance platform capabilities, and drive innovation using state-of-the-art technologies. What will you do? • Lead the design and delivery of next-generation AI capabilities, including integrating LLMs, RAG workflows, and AI Agents into Ridgeline’s platform., • Define and execute the AI strategy, collaborating with product and engineering leaders to identify high-value opportunities., • Architect scalable, robust AI pipelines that can operate seamlessly in cloud-based production environments., • Research and implement state-of-the-art AI models and algorithms, ensuring Ridgeline maintains a competitive advantage., • Mentor engineers across the organization, fostering technical growth and advancing a culture of innovation., • Collaborate with cross-functional teams to deliver end-to-end AI-driven solutions, aligned with customer needs and business goals., • Establish best practices for AI development, ensuring performance, reliability, and ethical AI standards., • Stay ahead of AI advancements and evaluate their applicability to Ridgeline’s platform, sharing insights to keep our team at the forefront of AI innovation. Desired Skills and Experience • 10+ years of software engineering experience, with at least 5 years focused on AI/ML development., • Proven track record of architecting and deploying machine learning systems, particularly LLMs, in production environments., • Deep expertise in AI Agent frameworks, Retrieval Augmented Generation (RAG), and fine-tuning of large models., • Exceptional programming skills in Python and familiarity with languages like Kotlin or Java., • Strong knowledge of cloud platforms (AWS preferred) and distributed systems., • Demonstrated ability to lead and mentor engineers, driving technical excellence across teams., • Strong communication and collaboration skills to navigate complex projects and deliver impactful solutions. Bonus • Experience with Reinforcement Learning (RL), multi-agent systems, LLM model evaluation., • Publications in AI conferences or contributions to high-profile open-source projects., • Knowledge of investment management workflows and opportunities for AI-driven solutions in finance. About Ridgeline Ridgeline is the industry cloud platform for investment management. It was founded by visionary tech entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to apply his successful formula of solving operational business challenges with bold innovation and human connectivity to the unique needs of the investment management industry. Ridgeline started with a clean sheet of paper and a deep bench of experts bound by a set of core values and motivated to revolutionize an industry underserved by its current tech offerings. We are building a new, modern platform in the public cloud, purpose-built for the investment management industry and we are prioritizing security, agility, and usability to empower business like never before. With a growing campus in Reno and offices in New York, Lake Tahoe, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a “Best Workplace for Innovators,” by The Software Report as a “Top 100 Software Company,” and by Forbes as one of “America’s Best Startup Employers.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the ___. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation and Benefits [For New York and California Based Only] The typical starting salary range for new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below. The typical starting salary range for this role is: $200,000-$235,000. The typical starting salary range for this role in the select locations listed above is: $212,500-$250,000. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above. As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product. In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our ___ for a more comprehensive overview of our perks and benefits. #LI-Hybrid

About Traversal ___ is the AI Site Reliability Engineer (SRE) for the enterprise—already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we’re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we’re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Cerebras Systems, Glean, Nuro, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. The Role As an Infrastructure Engineer on the Data Platform team at Traversal, you’ll design, build, and maintain the backend systems that power our AI-driven observability platform. You’ll work across both cloud and on-prem deployments, ensuring our systems are highly reliable, performant, and capable of supporting large-scale AI operations. This hands-on role blends distributed systems engineering, low-level system design, performance optimization, observability, and AI integration—collaborating closely with engineers across the company to deliver resilient infrastructure that enables our AI agents to diagnose and remediate production incidents in real time. Responsibilities • Architecture & Implementation: Contribute to the design and implementation of scalable, resilient infrastructure systems to power AI-driven root cause analysis and observability workflows. That must work in a variety of environments for on Premises deployments., • Observability Systems: Help build and maintain the internal observability stack—logs, metrics, and traces—used by our agents to understand and act on production issues., • Hybrid Infrastructure: Support cloud and on-prem architecture to serve both SaaS and enterprise customers., • Data Infrastructure: Develop and maintain low-latency, high-throughput pipelines using tools like Kafka, Postgres, and S3 for real-time telemetry workflows., • Tooling & Automation: Contribute to infrastructure-as-code, CI/CD tooling, and deployment systems to increase platform velocity and stability., • Cross-Team Collaboration: Work with AI, platform, and product teams to ensure smooth integration and shared reliability goals., • Using Traversal Internally: Help ensure our own observability tooling supports how we debug, monitor, and operate our systems. Requirements • Professional experience with Rust (our primary language for infrastructure), or strong systems-level programming experience in OCaml, C++, C or Zig., • Experience building distributed systems using a variety of application-appropriate datastores (e.g., Postgres, object storage, etc.)., • Strength in debugging across cloud infrastructure, networking layers, and production systems (instrumentation, provisioning, bug fixes, reliability improvements)., • Experience with performance profiling and optimization in backend systems., • Exposure to low-level system design concepts (e.g., concurrency models, storage internals, OS, and DB level tuning). Nice to Have • Experience making complex software systems observable using logs, metrics, and traces., • Familiarity with Python-based ecosystems., • Background in large-scale, complex, data-driven applications, and familiarity with event streaming platforms such as Kafka., • Experience provisioning and managing infrastructure using Terraform, Pulumi, or other IaC tools., • Familiarity with AI or LLM-powered products. Compensation We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000–$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge. Why You Should Join Us We’ll make sure you’re fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks. We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team. Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance. Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.

About Courted Courted is the leading AI-powered platform for real estate recruiting, retention, and market intelligence. We help brokerages and teams understand agent performance, recruit strategically, and retain top talent – all in one place. The real estate industry moves over $100B in annual commissions, and it’s still powered by spreadsheets, cold calls, and guesswork. We’re changing that with AI. Our platform combines data, workflow, and machine learning to make every recruiting and retention decision smarter. We’re an early-stage, high-growth SaaS company shipping fast, working smart, and building transformative tools for the next generation of real estate leaders. The Role We’re looking for a Product Designer who loves solving problems and thrives in a fast-paced environment. You’ll work end-to-end across the design process – turning insights into ideas and bringing them to life through thoughtful workflows. At Courted, we place huge emphasis on user-centric design – transforming complex real estate processes into simple, powerful tools. You’ll dive deep into how people use our platform and find opportunities to make their day-to-day work easier and more efficient. This is a great role for someone eager to grow, take ownership across the full product lifecycle, and help shape the future of Courted. What You’ll Do • Contribute to end-to-end feature design – from exploring user needs and defining flows to delivering polished, production-ready interfaces, • Translate research notes and interviews into clear problem statements, user flows, and prioritized opportunities, • Create low-fi sketches, clickable prototypes, and high-fidelity mocks to validate ideas quickly, • Partner closely with our Visual Designer to refine layouts, states, and specs so designs are fully ready for engineering handoff, • Collaborate with engineers through handoff, build, and pre-launch reviews, • Maintain and extend our design system – add components, document patterns, and improve consistency, • Support ongoing UX improvements by identifying opportunities to simplify, streamline, or elevate existing experiences, • Document design rationale so product, engineering, and sales teams stay aligned, • Use metrics and feedback to improve shipped features over time What You Bring • 3–5 years of full-time experience in product design, ideally within a SaaS or fast-paced startup environment, • Curious and proactive mindset – you ask questions, seek context, and quickly learn new tools or technologies to get the job done, • Strong end-to-end design process – from identifying the right problems to solve, to exploring solutions, and making smart tradeoffs along the way, • High attention to detail – you care about polish and consistency, ensuring your work feels complete and ready for launch, • Systems thinker who can simplify complex workflows into clean interfaces for accomplishing difficult tasks, • Organized executor – you manage your time well, communicate clearly, and follow through to deliver thoughtful, high-quality work, • Interest in AI and data-driven products, with a desire to understand how things work under the hood, • Familiarity with modern design tools like Figma, and comfort applying core product design skills to translate complex ideas into clear, actionable solutions. Why Courted • Real ownership: You’ll ship features end-to-end and see your work go live to thousands of users, • High velocity: Tight feedback loops, minimal bureaucracy, maximum learning, • AI + vertical depth: Build at the intersection of machine learning and a $100B+ industry that’s just beginning to modernize, • Visibility: Work directly with product leadership and cross-functional teams shaping Courted’s future What It’s Like to Work Here • We’re a small, focused team that values momentum, candor, and follow-through. Everyone builds – ideas don’t get kicked down the line., • We care a lot about the work and very little about titles. People here are competitive about outcomes, not credit., • We’re a high-trust team that ships fast and sweats the details., • We debate ideas, not people, fix things in daylight, and try to keep a sense of humor while doing it. The Details • The team is NYC-based and in office 3-4 days per week, • Compensation: $110,000 - $130,000, • Health, dental, and vision insurance, • 401k and generous PTO policy, • Dog-friendly office How to apply Submit your resume and link to your portfolio through LinkedIn This salary range represents the minimum and maximum for this role based in New York, NY. The salary given for this position depends on multiple factors, including experience, interview performance, and anticipated responsibilities of the role. Base salary is one component of Courted’s competitive total package, which also includes retirement savings, premium health and wellness benefits, lunches in office, and more. Please note: Courted is unable to provide visa sponsorship at this time. Candidates must be authorized to work in the United States without sponsorship.

The user interface for universal knowledge capture. We want every atom of information that our users need to be at their fingertips. Designed to be generally capable– it can tackle even the most complex tasks, citing answers over any amount of sources. By showing its work, Hebbia empowers users to collaborate with AI on each step and validate responses instead of blindly trusting them. Our mission is to put capable AI in the hands of 1 billion people by 2030. The Agent Collaboration platform team at Hebbia builds the interactive scratch-pad, analysis, and content creation tools for Agents. Our flagship product, Matrix, is a generative spreadsheet that leverages our ___ to coordinate complex agentic workflows across thousands of documents. We pair a simple, elegant interface—where users can kick off complex multistep document workflows—with a real-time, high-throughput ___ capable of processing the equivalent of 100 Harry Potter novels per second. Together, we turn massive, unstructured document repositories into seamless, actionable intelligence. Our team works in person 5 days a week at our SoHo office in NYC. A backend engineer at Hebbia blends expertise in systems, application layer software, and data modeling to build highly efficient software solutions. You will be responsible for leveraging the latest software and agentic solutions and integrating product experience with powerful distributed systems. You’ll help protect Hebbia’s technical edge via elegant software design, efficient data communication, and sophisticated integrations. We value engineers who move fast, hold themselves accountable to quality, and are detail-oriented. • Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs., • Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume., • Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents., • Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred., • 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering., • Proficiency in building backend and API systems using technologies such as Python, Java, or Go., • Extensive experience with cloud platforms (e.g., AWS), • Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis, • Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders., • Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment., • Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies., • Embraces rapid prototyping with an emphasis on user feedback, • Autonomous and excited about taking ownership over major initiatives, • Bonuses:, • Experience building agentic systems or LLM enabled products., • Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc). The salary range for this role is $160,000 to $300,000, covering levels from junior to principal. Final leveling is determined through our assessment process, and exceptions to this range may be made for candidates with qualifications that fall outside our standard framework. Life @ Hebbia PTO: Unlimited Insurance: Medical + Dental + Vision + 401K Eats: Catered lunch daily + doordash dinner credit Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent Fertility benefits: $15k lifetime benefit New hire equity grant: competitive equity package with unmatched upside potential #LI-Onsite

A company is looking for a Remote Customer Support Agent (P&C).Key Responsibilities Respond to inbound calls from existing customers Process service requests such as adding/removing vehicles and drivers Assist customers with questions regarding existing insurance policies and make necessary chan

Come work with us: Metropolitan Commercial Bank (the “Bank”) is a full-service commercial bank based in New York City. The Bank provides a broad range of business, commercial, and personal banking products and services to individuals, small businesses, private and public middle-market and corporate enterprises and institutions, municipalities, and local government entities. Metropolitan Commercial Bank was named one of Newsweek’s Best Regional Banks and Credit Unions 2024. The Bank was ranked by Independent Community Bankers of America among the top ten successful loan producers for 2023 by loan category and asset size for commercial banks with more than $1 billion in assets. Kroll affirmed a BBB+ (investment grade) deposit rating on January 25, 2024. For the fourth time, MCB has earned a place in the Piper Sandler Bank Sm-All Stars Class of 2024. Metropolitan Commercial Bank operates banking centers and private client offices in Manhattan, Boro Park, Brooklyn and Great Neck on Long Island in New York State. The Bank is a New York State chartered commercial bank, a member of the Federal Reserve System and the Federal Deposit Insurance Corporation, and an equal housing lender. The parent company of Metropolitan Commercial Bank is Metropolitan Bank Holding Corp. (NYSE: MCB). Position Summary: Metropolitan Commercial Bank (the “Bank”) is seeking a VP-level AI/ML Engineer to deploy AI solutions at enterprise scale, with a strong emphasis on Large Language Model (LLM) applications and modern MLOps & AIOps practices. This role sits at the intersection of data science and software engineering, reporting to the manager of the IT Application Development and Support team and working closely with the Chief Artificial Intelligence Officer, transforming innovative AI prototypes into robust, scalable production systems. The AI/ML Engineer will lead the deployment of high-impact AI capabilities (e.g., generative AI systems, personalization engines, automation tools) and ensure scalable AI platforms that deliver real-world value. The role also includes designing, constructing, and maintaining the Bank’s AIOps solution, with Snowflake as the primary ML platform (e.g., Snowpark Python, UDFs/UDTFs, Tasks/Streams, and Snowflake-native ML). We have a flexible work schedule where employees can work from home one day a week. Essential duties and responsibilities: Production Architecture & AIOps: • Establish and enforce architecture standards for production AI systems, including data pipelines, model serving infrastructure, and real-time inference services., • Implement AIOps/MLOps pipelines for CI/CD of ML models, model governance, monitoring, and lifecycle management., • Design and maintain scalable software applications with integrated AI/ML capabilities., • Develop software architecture and design patterns to ensure performance and scalability., • Write clean, maintainable code in general-purpose programming languages (Python, Java, C, C++, Go)., • Implement and manage data pipelines for preprocessing and transforming data for AI/ML models., • Integrate AI/ML models into production environments and optimize for reliability and scalability., • Apply Site Reliability Engineering (SRE) principles and implement monitoring and alerting solutions., • Conduct code reviews and provide technical guidance to junior developers., • Stay current with advancements in software engineering and AI/ML technologies., • Adhere to agile and lean software development best practices., • Thoroughly document all developed models and processes according to relevant policies and standards., • Support the production environment by either resolving technical or functional issues, in line with the procedures defined by the Bank. Cross-Functional Collaboration: • Partner with data scientists, AI scientists, product managers, data engineers, DevOps, and business stakeholders to operationalize AI algorithms., • Mentor or train teams and coordinate between research-oriented AI scientists and engineering teams to continuously improve models with production feedback. Scaling & Performance: • Ensure AI solutions perform at scale, handling thousands of daily inferences with low latency and high reliability., • Optimize model serving using techniques like model compression, caching, and hardware acceleration., • Implement robust monitoring and alerting for model performance to detect and address degradation (e.g., drift, latency issues). Scaling & Performance: • Ensure AI solutions perform at scale, handling thousands of daily inferences with low latency and high reliability., • Optimize model serving using techniques like model compression, caching, and hardware acceleration., • Implement robust monitoring and alerting for model performance to detect and address degradation (e.g., drift, latency issues). Required knowledge, skills and experience: • LLM & GenAI Mastery: Expert in building and deploying LLM-based applications using RAG, prompt engineering, and vector databases. Skilled in LLMOps tools (LangChain, LlamaIndex) and fine-tuning models for enterprise use, including agent-based architectures., • MLOps & Cloud Infrastructure: Proficient in cloud ML platforms (AWS, GCP, Azure) and MLOps workflows. Uses Docker, Kubernetes, and IaC tools (Terraform, CloudFormation) for scalable deployments. Experienced in CI/CD, real-time inference, GPU optimization, and ML observability (Prometheus, Grafana, MLflow)., • Full-Stack Development: Capable of building end-to-end AI solutions, from front-end (React) to back-end APIs (Flask, FastAPI, Node.js). Skilled in integrating ML models with databases (SQL, NoSQL) and delivering seamless user experiences through robust software engineering., • Proficient in Python (pandas, scikit-learn), deep learning (PyTorch/TensorFlow/Keras), NLP/LLMs, LangChain, embeddings/vector search, and classic ML., • Experienced with Snowflake-native ML (Snowpark Python, UDFs/UDTFs, Tasks/Streams)., • Competent in data engineering (SQL, ETL/pipelines, Spark/PySpark) and handling large structured/unstructured datasets., • Strong understanding of AI/ML algorithms, application architecture, and design patterns., • Excellent problem-solving, analytical, communication, and collaboration skills. Preferred knowledge, skills and experience: • Financial services domain experience (fraud risk, AML, underwriting, or commercial/treasury analytics)., • Hands-on experience with Snowflake ML/Snowpark (Python), Tasks/Streams, secure external functions, and feature management/registry tooling., • Familiarity with fairness toolkits, XAI frameworks, and preparing models for validation, audit, or regulatory exams., • Knowledge of SR 23‑4 (third‑party risk), NYC Local Law 144 (AEDT), NYDFS Part 500 (cyber)., • Ability to work in a constantly evolving environment., • Excellent written and verbal communication skills., • Strong listening and teaching abilities., • Demonstrated analytical, troubleshooting, and problem-solving skills., • Quick learner of new technologies., • Self-directed with strong technology and communication skills., • Ability to synthesize multiple sources of information and understand the broader operational context of the Bank., • Collaborative team player with a practical and creative approach in a dynamic work environment., • Ability to handle ambiguity, multitask, and adapt quickly to changing priorities. Potential Salary: $130,000 - $200,000 annually This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here. Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job Title: Medicare Sales Representative | Insurance Agent Job Location: New York, NY 10004 (Field Position) Job Duration: 3 Months+ with possible extension Shift: day shift - Hours May Vary due to business need Pay Range: $30 - $35/hr. on w2 Note: NYS Life, Health & Accident insurance license needed Job Description: · Medicare Sales Representative - Field Position - Hours May Vary due to business need - NYS Life Insurance is needed - No reimbursable expenses - Bilingual candidates preferred (Spanish, Haitian Creole, or Russian Medicare Sales Representative Position Identify and enroll eligible individuals into Client’s Medicare plan through outreach and education. · Conduct home visits and community presentations at hospitals, senior centers, and other sites. Explain plan benefits, coverage, and exclusions while ensuring compliance with marketing and regulatory guidelines. · Complete enrollment applications and reports accurately and on time. · Collaborate with internal teams to resolve member concerns and maintain strong relationships with community organizations and regulatory partners. · Support members with access to care, transportation, and related needs.

Globe Life: AO is looking for an entry level insurance benefits agent who is searching for an opportunity to help our members protect their families. AIL is one of the nation's significant providers of supplemental life and health insurance to labor unions, credit unions, and associations. We cover

We are hiring licensed insurance agents who are positive, persuasive, and have the drive to succeed. Access life insurance options to safeguard your loved ones.

Our product suite includes Life Insurance, Critical Illness Insurance, and Health & Dental Insurance, all tailored to Canadians' evolving needs. A licensed Life and Accident & Sickness insurance agent with a valid LLQP. Licensed Life Insurance Advisor (Remote).

Insurance Producer - Lafayette, IN. As an Insurance Producer at Horace Mann, you'll receive mentorship from an experienced agent while gaining hands-on experience in the industry. Our insurance products are tailored to meet the unique needs of educators, and we provide outstanding training, competit

We are seeking a Licensed Insurance Agent to assist individuals in navigating Medicare programs. Holds valid health insurance license. Capability to contract and become RTS (ready-to-sell) with multiple insurance carriers (3 main MAPD carriers or 2 main MAPD carriers and one approved secondary carri

Licensed Auto Insurance Agent- Remote. Active property & casualty insurance agent/producer license is required Experience At least one (1) year of customer service experience; call center experience strongly preferred. Skills & Knowledge Strong customer service skills with empathetic communication a

We're building the first visual, transparent, and interactive deep-research platform. Our platform is industry-agnostic, but we're starting with finance. Financial services manages $26.5 trillion in assets, yet professionals spend 60-70% of their time manually gathering data from scattered sources. Keru.ai automatically ingests dozens of sources (SEC filings, expert calls, alternative data) and deploys AI agents that conduct deep research while creating interactive decision trees. The agents surface insights and connections that would take analysts hours to find. Analysts explore and modify findings in real-time, then export deliverables like presentations and reports, all with full audit trails showing exactly how conclusions were reached. Keru.ai was founded by two Palantir veterans with 20 years of combined experience building core parts of Palantir's Gotham and Foundry Platform. Our founders created Palantir Quiver, the analytics engine behind $100M+ enterprise deals with BP and Airbus, architected core compute and data systems, led major Department of Defense projects, and served as Head of Business Engineering at Citadel. We're backed by founders of OpenAI, Facebook AI, MotherDuck, DBT, and Outerbounds. As a Full Stack Software Engineer at Keru, you'll architect and build the core platform that powers our AI-native research experience. You'll own the complete user journey—from intuitive React interfaces that financial professionals love to robust backend systems that process billions of data points in real-time. You'll live our core principle of 'Forward-Deployed with Product DNA' - building platform features that directly solve real customer problems while maintaining the scalability and reliability needed to serve the entire market. Your code will power research workflows that drive million-dollar investment decisions across our lighthouse financial clients. This role is ideal for engineers who want to build foundational technology at the intersection of AI and finance, where strong code architecture powers an exceptional user experience and directly impact our clients' ability to make critical business decisions. * Frontend Excellence & User Experience: Build sophisticated React applications with TypeScript that financial professionals rely on for critical research. Create intuitive interfaces for complex data visualization, AI-powered insights, and seamless integration workflows using modern design systems and Tailwind CSS. * Backend Systems & API Development: Design and implement scalable code that orchestrates AI workflows, manage complex data pipelines, and integrate with enterprise financial tools. * Full-Stack Feature Development: Own complete features from concept to production - designing React components, implementing backend services, optimizing database queries, and ensuring seamless end-to-end functionality. * Platform Architecture & Scalability: Build systems that scale from prototype to enterprise, implementing caching strategies, optimizing database performance, and architecting microservices that handle high-volume financial data processing. * AI Integration & Workflow Engineering: Integrate cutting-edge language models and AI capabilities into production applications, building intelligent research workflows that augment human decision-making with AI insights. * Enterprise Integration Development: Build robust integrations with financial platforms (Bloomberg Terminal, CapIQ, internal trading systems) using modern web technologies and enterprise authentication protocols. * Performance Engineering: Optimize application performance across the full stack - from React component rendering and bundle optimization to database query performance and API response times. * Product Development Collaboration: Work closely with product and design teams to translate user requirements into technical architecture, participating in user research sessions and iterating based on real client feedback. * Production Excellence: Implement comprehensive testing strategies, monitoring, and deployment pipelines. Own the reliability of features you build from development through production operations. * A future technical startup founder * 4+ years of full-stack development experience with a proven track record of shipping production applications at scale * Modern Frontend Expertise: Advanced proficiency in React, TypeScript, and modern CSS frameworks (Tailwind CSS preferred). Experience with state management (Redux/Zustand), testing frameworks (Jest/Vitest), and build tools (Vite/Webpack). * Backend Development Skills: Strong experience with Node.js, Python, or similar backend technologies. Proficiency in API design, database modeling (PostgreSQL/MongoDB), and cloud platforms (AWS/GCP). * Full-Stack Architecture: Experience designing and implementing complete application architectures, from database schema to React component hierarchies. Understanding of performance optimization across the entire stack. * Enterprise Application Experience: Background building applications for enterprise customers, including experience with authentication systems, role-based access control, and enterprise security requirements. * Data-Driven Development: Experience working with large datasets, building data visualization interfaces, and integrating with analytics platforms or data processing pipelines. * Financial Services Exposure: Previous experience building applications for financial firms, understanding of financial workflows, or familiarity with financial data platforms (preferred but not required). * Modern Development Practices: Experience with Git workflows, CI/CD pipelines, automated testing, and agile development methodologies. * Technical Communication: Excellent communication skills with ability to collaborate effectively with product, design, and engineering teams. Comfortable discussing technical trade-offs and architecture decisions. * Product Mindset: User-focused approach to development with experience gathering requirements, iterating based on feedback, and building features that solve real customer problems. * Startup Experience: Thrives in fast-paced environments where you'll work across the full technology stack and directly impact product direction and company growth. You'll be directly mentored by engineers who built Palantir's core systems. Expect: * Weekly 1:1s with senior engineers who've architected enterprise-scale distributed systems * Deep architectural reviews and guidance on agent system design * Clear growth path toward technical leadership and system ownership * Learn by building—production agentic systems that power real financial research At Keru, mentorship accelerates strong systems engineers into exceptional technical leaders. * Backend: Python, Node.js, Rust, PostgreSQL, Redis * AI/ML: OpenAI/Anthropic/OpenRouter Vector Databases * Infrastructure: AWS, Docker, Temporal, Kubernetes, Kafka, Apache Airflow * Monitoring: Datadog, * Tools: Git, GitHub Actions, Pulumi * Comprehensive medical, dental, vision, 401k, insurance for employees and dependents * Automatic coverage for basic life, AD&D, and disability insurance * Daily lunch in office * Development environment budget - latest MacBook Pro, multiple monitors, ergonomic setup, and any development tools you need * Unlimited PTO policy * "Build anything" budget - dedicated funding for whatever tools, libraries, datasets, or infrastructure you need to solve technical challenges, no questions asked * Learning budget - attend any conference, course, or program that makes you better at what we're building * Forward-Deployed with Product DNA: We own customer outcomes, while building a product company. We don't win if our customers don't win. That means embedding, iterating, and deploying where our customers are. * Extreme Ownership: We have a big vision and everyone owns it. If you notice a problem, you own it - diagnose, coordinate, and close the loop. Authority comes from initiative, not job titles, and once you step up, you're accountable for the outcome. * Production-First Engineering: We design for customers' most critical workloads from day one. The platform runs on durable execution paths, blue/green deploys, automated rollbacks, and a continuous-delivery pipeline with end-to-end observability, so every change lands safely and stays resilient under real-world load. * Trust as the Default: We operate on the simple premise that people do their best work when confidence is mutual and earned in the open. That means we show our work, keep our promises, and flag risks before they bite. Automated tests, uptime dashboards, and clear communication back our competence; predictable delivery proves our consistency; candid retros and honest trade-offs reveal our character. Put together, trust isn't an aspiration, it's the baseline everyone can count on. * Keep Raising the Bar: We block time for training, code-health sprints, and deep-dive tech talks, because a sharper team and a cleaner stack pay compounding dividends. Continuous learning isn't a perk, it's part of the job. Keru.ai is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.

We're building the first visual, transparent, and interactive deep-research platform. Our platform is industry-agnostic, but we're starting with finance. Financial services manages $26.5 trillion in assets, yet professionals spend 60-70% of their time manually gathering data from scattered sources. Keru.ai automatically ingests dozens of sources (SEC filings, expert calls, alternative data) and deploys AI agents that conduct deep research while creating interactive decision trees. The agents surface insights and connections that would take analysts hours to find. Analysts explore and modify findings in real-time, then export deliverables like presentations and reports, all with full audit trails showing exactly how conclusions were reached. Keru.ai was founded by two Palantir veterans with 20 years of combined experience building core parts of Palantir's Gotham and Foundry Platform. Our founders created Palantir Quiver, the analytics engine behind $100M+ enterprise deals with BP and Airbus, architected core compute and data systems, led major Department of Defense projects, and served as Head of Business Engineering at Citadel. We're backed by founders of OpenAI, Facebook AI, MotherDuck, DBT, and Outerbounds. As a Software Engineer at Keru, you'll architect and build the intelligent backend infrastructure that powers our autonomous AI research agents. You'll design the core orchestration systems that coordinate multiple specialized AI agents, manage complex multi-step research workflows, and ensure reliable execution of mission-critical financial analysis tasks. Within your first 90 days, you will: * Design and ship your first multi-agent workflow system into production with senior mentorship * Build and deploy an agent orchestration service that handles real financial research tasks * See your code power autonomous research workflows at top financial institutions * Take ownership of a core agent system from architecture to production deployment This role is ideal for engineers who want to build foundational agentic infrastructure at the intersection of AI and finance, where robust system architecture enables autonomous agents to augment human decision-making at enterprise scale. * Agent Orchestration & Workflow Engineering: Design and implement sophisticated agent coordination systems that manage complex, multi-step research workflows. Build state machines, task queues, and execution engines that coordinate specialized AI agents across diverse data sources and analysis tasks. * Multi-Agent System Architecture: Architect scalable systems for agent communication, task delegation, and result synthesis. Implement patterns for agent specialization, load balancing, and dynamic resource allocation across research workflows. * Autonomous Task Execution: Build robust execution frameworks that handle long-running, multi-phase research tasks with automatic retry logic, error recovery, and graceful degradation. Ensure agents can autonomously navigate complex decision trees while maintaining human oversight capabilities. * AI Model Integration & Management: Integrate and orchestrate multiple language models (GPT, Claude, specialized financial models) with intelligent routing, fallback mechanisms, and cost optimization. Build abstraction layers that allow seamless model swapping and A/B testing. * Real-Time Data Pipeline Architecture: Design high-throughput data ingestion systems that process streaming financial data, SEC filings, news feeds, and alternative datasets. Build event-driven architectures that trigger agent workflows based on real-time market events. * Agent Memory & Context Management: Implement sophisticated memory systems that allow agents to maintain context across long research sessions, learn from past interactions, and build upon previous analysis. Design vector databases and knowledge graphs that support intelligent information retrieval. * Enterprise Integration & Reliability: Build systems that meet the security and compliance standards of top financial institutions, with comprehensive monitoring, audit logging, and enterprise-grade authentication. Must-haves * 2+ years of backend systems experience with a proven track record of building production-scale distributed systems * Strong CS fundamentals: distributed systems, algorithms, system design, and debugging complex multi-service architectures * Experience with agent frameworks or multi-agent system design patterns * Expert-level proficiency in Python, Node.js, or Rust with experience in microservices and event-driven architectures * Hands-on experience with vector databases (Pinecone, Weaviate, Chroma) and semantic search systems * Track record of shipping: production systems that handle mission-critical workloads and real user traffic * Clear technical communication: ability to architect complex systems and collaborate with both technical and business stakeholders Nice-to-haves * Experience building AI/ML production systems, workflow orchestration, or autonomous agent platforms * Background with financial data, APIs, or enterprise integration (Bloomberg Terminal, trading systems) * Knowledge of advanced backend technologies: message brokers (Kafka), container orchestration (Kubernetes), infrastructure as code * Technical leadership experience: mentoring engineers, making architectural decisions, driving technical strategy * Startup experience or side projects where you built systems from scratch Don't check every box? Apply anyway. We prioritize problem-solving ability, systems thinking, and drive to build transformative agentic infrastructure. You'll be directly mentored by engineers who built Palantir's core systems. Expect: * Weekly 1:1s with senior engineers who've architected enterprise-scale distributed systems * Deep architectural reviews and guidance on agent system design * Clear growth path toward technical leadership and system ownership * Learn by building—production agentic systems that power real financial research At Keru, mentorship accelerates strong systems engineers into exceptional technical leaders. * Backend: Python, Node.js, Rust, PostgreSQL, Redis * AI/ML: OpenAI/Anthropic/OpenRouter Vector Databases * Infrastructure: AWS, Docker, Temporal, Kubernetes, Kafka, Apache Airflow * Monitoring: Datadog, * Tools: Git, GitHub Actions, Pulumi * Comprehensive medical, dental, vision, 401k, insurance for employees and dependents * Automatic coverage for basic life, AD&D, and disability insurance * Daily lunch in office * Development environment budget - latest MacBook Pro, multiple monitors, ergonomic setup, and any development tools you need * Unlimited PTO policy * "Build anything" budget - dedicated funding for whatever tools, libraries, datasets, or infrastructure you need to solve technical challenges, no questions asked * Learning budget - attend any conference, course, or program that makes you better at what we're building * Forward-Deployed with Product DNA: We own customer outcomes, while building a product company. We don't win if our customers don't win. That means embedding, iterating, and deploying where our customers are. * Extreme Ownership: We have a big vision and everyone owns it. If you notice a problem, you own it - diagnose, coordinate, and close the loop. Authority comes from initiative, not job titles, and once you step up, you're accountable for the outcome. * Production-First Engineering: We design for customers' most critical workloads from day one. The platform runs on durable execution paths, blue/green deploys, automated rollbacks, and a continuous-delivery pipeline with end-to-end observability, so every change lands safely and stays resilient under real-world load. * Trust as the Default: We operate on the simple premise that people do their best work when confidence is mutual and earned in the open. That means we show our work, keep our promises, and flag risks before they bite. Automated tests, uptime dashboards, and clear communication back our competence; predictable delivery proves our consistency; candid retros and honest trade-offs reveal our character. Put together, trust isn't an aspiration, it's the baseline everyone can count on. * Keep Raising the Bar: We block time for training, code-health sprints, and deep-dive tech talks, because a sharper team and a cleaner stack pay compounding dividends. Continuous learning isn't a perk, it's part of the job. Keru.ai is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.

Location: Remote - NYC preference - will accept Remote USA to work EST hours - Will accept LATAM region to work EST hours and also Tel Aviv. compensation: $160K - $200K We are a technology company that provides the first automated, on-chain economic security system for crypto protocols, helping them optimize risk management and capital efficiency while safeguarding user funds. Our platform secures billions of dollars in assets for leading protocols by analysing protocol mechanics and scenario implications using world-class custom EVM simulations. We are seeking a proactive and results-driven Full-Stack Engineer to join our AI team and develop our cutting-edge financial AI agent. As a Full-Stack Engineer reporting directly to the Head of Product & AI, you will play a critical role in working closely with the CEO and the AI team to design and build the full-stack systems that power our financial AI agent. Responsibilities: • Design and build end-to-end full-stack systems for our AI financial agent., • Develop scalable APIs and backend services to support agent workflows., • Build high-performance, user-facing interfaces to visualize agent reasoning and surface insights, and enable real-time interaction., • Collaborate with AI researchers to integrate and productionize agent logic., • Connect and manage data pipelines from financial sources., • Implement testing, monitoring, and performance best practices., • Stay up to date with LLM frameworks, full-stack tools, and financial trends. Essential Qualifications: • Experience: 5+ years of full-stack development experience., • Backend Proficiency: Strong proficiency in Python (FastAPI), JavaScript/TypeScript, and Node.js., • Frontend Proficiency: Strong proficiency in React., • System Knowledge: Proven experience building scalable APIs and web applications., • Data Skills: Solid knowledge of relational and non-relational databases., • AI Experience: Hands-on experience with LLMs and frameworks like LangChain or similar., • Advanced AI Concepts: Familiarity with vector databases, RAG pipelines, and async programming., • Domain Expertise: Experience with financial data and APIs., • Work Style: Comfortable working in fast-paced, self-directed environments., • Location: Ability to work from our Brooklyn Office 5 days a week (mandatory for NYC-based candidates). Preferred Qualifications: • Experience building LLM-based agents in production environments., • Familiarity with prompt engineering, tool use orchestration (MCP), and AI agent design., • Experience with embedding pipelines, semantic search, and RAG architectures., • Proficiency with profiling tools and performance optimization., • Familiarity with smart contracts, blockchain protocols, and DeFi systems is a strong plus., • Compensation: Competitive PTO (21 days) plus 7 sick days and 8 observed US-company holidays., • Healthcare: 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents., • Financial Wellness: FSA or HSA (pending on selected health insurance) and Pre-tax Commuter Benefits., • Support: Thoughtful Parental Leave Policy and corporate wellness programs (OneMedical, Teladoc, Talkspace, EAP)., • Growth: Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Description: Chaos Labs is the first automated, on-chain economic security system enabling crypto protocols to optimize risk management and capital efficiency while safeguarding user funds. We analyze protocol mechanics and scenario implications using world-class custom EVM simulations to provide actionable insights. Our platform is trusted by leading protocols, including Aave, GMX, dYdX, Venus, Jupiter and others, to manage and secure billions of dollars in assets. We are seeking a proactive and results-driven Full Stack Engineer to join our AI team. Reporting directly to the Head of Product & AI you will play a critical role in working closely with our CEO and AI team to develop our AI product. Responsibilities: • Design and build fullstack systems for our AI crypto agent., • Develop scalable APIs and backend services to support agent workflows., • Build high-performance, user-facing interfaces to visualize agent reasoning and surface insights, as well as enable real-time interaction., • Collaborate with AI researchers to integrate and productionize agent logic., • Connect and manage data pipelines from crypto sources., • Implement testing, monitoring, and performance best practices., • Stay up to date with LLM frameworks, crypto trends, and fullstack tools. Requirements: • 5+ years of fullstack development experience., • Strong proficiency in Python (FastAPI), JavaScript/TypeScript, Node.js, and React., • Proven experience building scalable APIs and web applications., • Solid knowledge of relational and non-relational databases., • Hands-on experience with LLMs and frameworks like LangChain or similar., • Familiarity with vector databases, RAG pipelines, and async programming., • Experience with crypto data and APIs., • Comfortable working in fast-paced, self-directed environments. Preferred Qualifications: • Based in NYC with the ability to work from our Brooklyn office 5 days per week., • Experience building LLM-based agents in production environments., • Familiarity with prompt engineering, tool use orchestration (MCP), and AI agent design., • Experience with smart contracts, blockchain protocols, and/or DeFi systems., • Experience with embedding pipelines, semantic search, and RAG architectures., • Proficiency with profiling tools and performance optimization., • Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays, • 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents, • FSA or HSA (pending on selected health insurance), • Thoughtful Parental Leave Policy, • Corporate wellness programs with OneMedical, Teladoc, Talkspace, EAP, • Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development, • Pre-tax Commuter Benefits, • Salary and seniority level commensurate with experience $144,000 - $164,000 USD

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As a Staff Assistant - State Farm Agent Team Member with Emond Richardson - State Farm Agent, you will be working closely with our commercial customers on certificates of insurance and endorsement requests. State Farm agents' employees are not employees of State Farm. Agents are responsible for and

As a Customer Relations Representative - State Farm Agent Team Member with Rob Perelmuter - State Farm Agent, you will generate the kind of exceptional client experiences that reinforce the growth of a successful insurance agency.Your attention to detail, customer service skills, and desire to help

Insurance Producer - Kyle/Buda, TX. As an Insurance Producer at Horace Mann, you'll receive mentorship from an experienced agent while gaining hands-on experience in the industry. Support and Accountability: As an Insurance Producer, you'll be guided by a mentor agent who will support you every step

Hagerty is looking for Sales & Service Insurance Agents to take our member experience to the next level. Sales & Service Insurance Agents. Promote and sell Hagerty insurance products and services to members and agents.

Christopher Alfaro - State Farm Agent is a leading insurance agency dedicated to providing exceptional service to our customers.

Orenstein - State Farm Agent is a leading insurance agency dedicated to providing exceptional service to our clients.We are currently seeking a dynamic individual to join our team as a Receptionist - State Farm Agent Team Member.Our ideal candidate is highly organized, detail-oriented, and committed