Insurance agent jobs in New York, New YorkCreate job alerts

Gen AI and Agentic AI Architect Job ID: 00065790971 Location: Teaneck, NJ or Plano, TX (Hybrid – 2 to 3 days per week in office) Role Summary We are seeking a visionary and pragmatic AI Architect to lead the design and implementation of Generative and Agentic AI ecosystems for Cognizant’s strategic clients. This role blends advisory leadership, hands-on solutioning, and practice development to drive enterprise transformation in the AI-first era. You will work closely with C-level stakeholders to define AI strategies, architect scalable platforms, and deliver verticalized AI solutions across industries. This is a high-impact role for a business-savvy technologist passionate about shaping the future of enterprise AI. Key Responsibilities · Design and implement modular, cloud-native AI platforms integrating LLMs, SLMs, and multi-agent orchestration. Ensure security, scalability, and compliance with industry standards. · Lead executive-level engagements to define AI roadmaps and investment strategies. Serve as the anchor architect for major client accounts. · Deliver tailored AI use cases across verticals such as Banking, Healthcare, Retail, Manufacturing, and more. · Oversee end-to-end model development including data preparation, training, fine-tuning (SFT, RLHF, LoRA), deployment, and optimization. · Establish enterprise-grade pipelines for CI/CD, monitoring, observability, and compliance. Define governance frameworks for agent lifecycle management. · Build and lead AI capability squads. Mentor architects and engineers, contribute to hiring strategy, and support succession planning. · Collaborate with hyperscalers (AWS, Azure, GCP), ISVs, and startups to co-develop offerings and influence partner roadmaps. · Publish white papers, contribute to patents, and represent Cognizant in executive roundtables and industry forums. Required Qualifications · 15+ years in IT and enterprise architecture, with hands-on engineering background (Java/.NET preferred). · 5+ years in AI/ML, including 1+ year in Generative & Agentic AI. · Expertise in model training techniques (SFT, RLHF, LoRA/QLoRA), RAG, and evaluation pipelines. · Architect-level certifications in at least two hyperscalers (AWS, Azure, GCP). · Deep experience in MLOps/LLMOps, including CI/CD, monitoring, and compliance. · Proven track record in CxO-level advisory and strategic AI engagements. · Familiarity with AI governance frameworks (NIST RMF, EU AI Act, Responsible AI). · Strong leadership experience in mentoring and building cross-functional AI teams. Preferred Qualifications · Publications, patents, or open-source contributions in Agentic AI or LLMOps. · Recognized thought leadership in conferences, panels, or media. · Deep domain expertise in one or more industries. · Experience with AgentOps, model evaluation frameworks, and AI observability tools. Functional Competencies · Business Acumen · Consultative Mindset · Practice Development · Ecosystem Engagement · Pragmatic Execution · Executive Communication & Storytelling Salary and Other Compensation: Applicants will be accepted till 12/29/2025 Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship. The annual salary for this position will be in the range of $120K-$165K depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: • Medical/Dental/Vision/Life Insurance, • Paid holidays plus Paid Time Off, • 401(k) plan and contributions, • Long-term/Short-term Disability, • Paid Parental Leave, • Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration. If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you! Apply Now!

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.

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, Datadog, DE Shaw, Meta, Hebbia, Perplexity, Glean, 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 AI Platform Engineer at Traversal, you’ll work on the core foundations that make Traversal’s AI possible, spanning both agent infrastructure and evaluation systems. • Agent Infrastructure — Build the frameworks, orchestration layers, and developer tooling that power Traversal’s AI agents for root cause analysis, alert triage, and “chat with your infrastructure/telemetry.” This involves designing scalable distributed systems and abstractions (e.g., MCP servers, multi-agent orchestration, toolkits) that balance research flexibility with production reliability., • Evaluation — Define what “good” looks like for AI performance in the incident management domain. You’ll build live evaluation pipelines, automated scoring systems, and benchmarks; integrate evaluation into the developer lifecycle; and surface these insights to customers as a value-add. This work combines research (agentic architectures, benchmarking, calibration, finetuning) with engineering (production-scale infra, APIs, distributed systems) to accelerate the entire AI loop: build → evaluate → improve → ship. Responsibilities • Design and build agent frameworks, orchestration layers, and developer tooling for Traversal’s AI agents., • Architect scalable distributed systems to support real-time workloads over petabytes of heterogeneous telemetry data., • Build live evaluation pipelines, automated scoring systems, and benchmarks to measure and drive AI performance., • Integrate evaluation systems into the developer lifecycle to create a fast research-to-production loop., • Surface evaluation signals and benchmarks to customers as a core product capability., • Partner with research scientists to prototype and productionize agentic architectures., • Own observability, latency, and reliability for agents in production., • Evolve and scale the agent + evaluation platform as the backbone of Traversal’s AI systems. Requirements • Strong system design skills for distributed systems., • Proven production-scale software engineering experience., • Experience with LLM-based applications and/or multi-agent systems., • Strong data modeling skills and a track record of writing clean, maintainable code., • Collaborative, impact-driven mindset and ability to work across research and engineering teams. Nice to Have • Knowledge of software incidents and production SRE workflows., • Prior experience with AI benchmarking or evaluation systems., • Experience creating quantitative scoring systems or benchmarks in new problem domains., • Familiarity with observability stacks (logs, metrics, traces) and telemetry systems., • Background in agentic architectures, orchestration frameworks, or applied AI research. 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.

As one of the largest personal lines insurance agencies in the US, #Comparion Insurance Agents connect members of their local communities with insurance solutions to meet their unique needs, including Auto, Home, and Life products from top national and regional carriers. Comparion Insurance Agents e

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.

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

Becoming an independent insurance agent with HealthMarkets is an opportunity unlike any other. HealthMarkets offers agents the resources and support they need to grow their businesses and succeed in the industry, all while making a difference in people's lives. Millions of Americans depend on us to

Check out these higher-salaried federal law enforcement opportunities with the U.S. Customs and Border Protection. Your current or prior law enforcement experience may qualify you for this career opportunity with the nation's premier federal agency charged with securing our borders and protecting our country. Interested in this role You can find all the relevant information in the description below. You may qualify for these higher-graded Border Patrol Agent (BPA) opportunities if you have current or prior law enforcement experience, including military police or local/state law enforcement. IMPORTANT NOTICE: Duty assignments may include the Southwest Border. U.S. Border Patrol determines assignments based on operational needs, which may not align with your preferences. Relocation may be required. EARN UP TO $30,000 IN RECRUITMENT INCENTIVES: Newly appointed Border Patrol Agents will receive a $20,000 incentive — $10,000 after completing academy training and $10,000 after fulfilling a 3-year agreement. An extra $10,000 is available for prioritized locations (Sierra Blanca, Presidio, Sanderson, Comstock, Freer, Hebbronville, TX; Lordsburg, NM; or Ajo, AZ). The U.S. Border Patrol (USBP) offers a career with camaraderie, pride, purpose, and the mission of protecting America. If you’re looking for an exciting, well-compensated federal law enforcement career, apply now. U.S. Customs and Border Protection is hiring full-time Law Enforcement Officer (LEO) positions. Salary and Benefits Base Salary: GL-9/GS-11: $63,148 – $120,145 per year Locality Pay: Varies by duty location Overtime: Up to 25% additional pay This is a career ladder position progressing from GL-9 to GS-11 to GS-12. You may be promoted after 52 weeks at each level without reapplying. Benefits include health insurance, paid leave, and the Thrift Savings Plan (similar to a traditional or Roth 401(k)). Duties and Responsibilities As a BPA, you help protect the U.S. by securing borders, stopping illegal activity, and supporting economic stability. Typical assignments include: * • Questioning individuals and inspecting documents and property, • Apprehending undocumented individuals or smugglers using covert surveillance and infrared scopes, • Tracking and interpreting signs of illegal entry, • Performing farm, traffic, building, city, and transport checks, • Patrolling using vehicles, horses, boats, ATVs, snowmobiles, or motorcycles Qualifications GL-9: One year of specialized experience at the next lower level, including: * • Searching detained persons, vehicles, and surroundings, • Apprehending or restraining suspects in violation of law, • Using firearms, writing reports, serving warrants, and gathering case evidence GS-11: One year of specialized experience at the next lower grade, including: * • Using intelligence to monitor criminal threats and operations, • Leading fraud or contraband investigations, • Apprehending violators using surveillance and detection tech There is no education substitution for GL-9 or GS-11 positions. Other Requirements * • Citizenship: Must be a U.S. Citizen, • Residency: Must have lived primarily in the U.S. for 3 of the last 5 years, • Age: Must be referred before turning 40 (exceptions for federal or veteran law enforcement), • Veterans: May qualify under Veterans’ Recruitment Appointment (VRA) Formal Training: After hiring, agents attend the U.S. Border Patrol Academy in Artesia, NM for 6 months of instruction in immigration law, firearms, defensive tactics, Spanish, and more. How to Apply Click the Apply button on this page. You will be redirected to the CBP Talent Network. Select "Border Patrol Agent" and complete the pre-screening questions. You will receive a link to the BPA Job Opening Announcements on USAJOBS. Follow all instructions and submit all required materials (resume, transcripts, etc.). You’ll be evaluated based on your application and the BPA Entrance Exam. If you have questions, contact a recruiter: careers.cbp.gov/s/usbp NOTE: Subscribers to the CBP Talent Network will receive monthly updates on webinars, expos, and job opportunities.

The Service Center Specialist is responsible for supporting and retaining our personal lines insurance customers on behalf of our independent agency partners by delivering exceptional service, providing expert guidance, and maintaining a thorough understanding of our core products, including auto, homeowners, and umbrella. RESPONSIBILITIES • Develop and maintain in-depth product knowledge of core personal lines of products (Auto, Homeowner, Umbrella) across all states we operate (NJ, PA, MA, CT, NY, NH)., • Accurately enter and update policy information in various processing systems., • Respond to customer inquiries regarding coverage, premiums, and policy changes via phone and other channels., • Provide first-call resolution with minimal customer effort, ensuring a seamless experience., • Work effectively under pressure and adapt to changing priorities., • Consistently meet or exceed customer and agent expectations by delivering professional, knowledgeable, and efficient service., • Quote and sell personal lines products to both new and existing clients, • Conduct renewal reviews and recommend appropriate policy adjustments based on customer needs., • Support onboarding of new team members and development of peers through coaching and guidance., • Support de-escalating calls, • Perform policy research and initiate corrections or updates using sound judgment and established procedures., • Identify and resolve potential underwriting concerns for both new and existing policies., • Perform other duties as assigned. QUALIFICATIONS • Excellent interpersonal, listening, communication, and organizational skills., • Strong decision-making ability and problem-solving skills., • Intermediate MS Office skills required., • Ability to manage multiple tasks in a fast-paced, high-volume environment., • Capable of handling a high volume of inbound and outbound calls professionally and efficiently., • Strong attention to detail and accuracy in all tasks., • Flexibility to work full-time schedules that may change based on department needs., • Availability during operational hours: Monday–Friday, 8:00 AM to 7:00 PM., • Sales-related experience preferred., • Bachelor's degree (B. A.) from a four-year college or university preferred., • 1-3 years experience in personal lines insurance or equivalent education/training preferred., • Property and Casualty license required. SALARY RANGE The pay range for this position is $54,000 to $72,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity. PERKS & BENEFITS • 4 weeks accrued paid time off + 9 paid national holidays per year, • Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision), • Annual 401(k) Employer Contribution, • Free onsite gym at our Woodbridge Location, • Resources to promote Professional Development (LinkedIn Learning and licensure assistance), • Robust health and wellness program and fitness reimbursements, • Various Paid Family leave options including Paid Parental Leave, • Tuition Reimbursement ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”.

Description The Commercial Lines Account Manager performs the essential functions of the position, which include aiding the Sales Executive / Account Executive, as well as clients with service needs and making changes to existing accounts. This position requires specific service and marketing responsibilities, including, but not limited to service and sales delivery standards, and perform essential duties while upholding the quality and service standards developed by this agency. PLEASE NOTE: • This position is located in our Tinton Falls, New Jersey office office at 101 South Livingston Ave., Livingston, NJ 07039 Duties/Responsibilities: Servicing/Customer Service • Provide technical support to Sales Executive/Account Executive specifically in analyzing client needs., • Occasionally accompanies Sales Executive/Account Executive on prospect and client meetings., • Completes applications in coordination with Sales Executive/Account Executive, submits applications to eligible and appropriate carriers; follows up to ensure timely receipt of quotations on new and renewal business and according to agency procedures., • Orders and issues binders, certificates, policies, endorsements, and other related items, verifies their accuracy, forwards them to client with appropriate correspondence., • Determines if direct or agency billing is appropriate and invoices accordingly., • Prepares summaries of insurance, schedules, and proposals., • Reviews audits of policies, verifies accuracy and facilities corrections, as needed, between client and carrier., • Process incoming mail and phone requests, responding promptly and appropriately within company guidelines., • Uses agency credit and collection policy in invoicing and pursuing prompt payments., • Determines reasons for requests for cancellations, acts to save accounts and notifies Sales Executive/Account Executive., • Processes and following up on cancellations requests to carriers to ensure accurate and timely resolution; maintains agency in financial equity whenever possible., • Assist clients in submitting first claims, facilitates prompt response from carrier staff and follows up on claims status, according to agency procedures., • Identifies exposure to loss and recommends appropriate coverages in coordination with Sales Executive/Account Executive., • Online rating of quotes., • Orders loss runs and keeps the loss run card updated., • Maintain accurate and current detailed information in the Applied EPIC system. Personal and Organizational Development • Sets priorities and manages workflow to ensure efficient, timely and accurate processing of transactions and other responsibilities., • Keeps informed regarding industry information, new product information, legislation, coverages, and technology to continuously improve knowledge and performance., • Utilizes good communications skills, cooperating purposefully and providing information and guidance, as needed, to achieve the business goals of the agency., • Maintain professional, cordial, and effective relationships with clients, co-workers, vendors, and other business contacts. Requirements Required Skills/Abilities: • College education with a minimum of 3 years insurance experience or a minimum of 5 years insurance experience., • Must hold a valid Property Casualty Broker-Agent license., • Ability to communicate effectively, both verbally and in writing, with others to explain complex issues, receive and interpret complex information, and respond appropriately., • Knowledge of insurance products and usages., • Knowledge of insurance markets and reference to markets., • Ability to carry out complex tasks with many concrete and abstract variables. Physical Requirements: • Prolonged periods of sitting at a desk and working on a computer., • Must be able to pull or lift up to 15 pounds at times.

At Burns & Wilcox, we are looking for a passionate individual aiming to follow a career path in the specialty insurance industry. The 12-week summer internship program aims to develop one’s business acumen, communication, and leadership skills through real world experience. This is a paid internship that provides additional learning opportunities for students to learn from and network with executive leadership and fellow interns in a range of departments. This individual will be expected to work 40 hours per week, with four days spent in an office setting and one day remote. The Underwriting Intern will gain valuable experience in one of our insurance underwriting teams comprised of commercial, personal, environmental, or professional lines teams. Responsibilities • Underwriting and cross selling across the department renewal portfolio and new business submissions, • Participate in agent marketing calls, • Engage in insurance policy renewals, • Update new business and renewals in Microsoft Excel, • Determine which program or market best meets the needs of agency clients, • Communicating loss notices and policy changes, • Work alongside senior leaders on special projects and attend client meetings Qualifications • Enrolled as an undergraduate at an accredited university, actively pursuing a degree in Risk Management and Insurance (strongly preferred), Business, Finance, or another relevant field, • Expected graduation in December 2026 or May 2027, • Previous internship experience is preferred, • Technical proficiency in Microsoft Office applications About Our Company Burns & Wilcox, the flagship organization of H.W. Kaufman Group, is North America’s leading wholesale insurance broker and underwriting manager. Burns & Wilcox offers wide ranging and comprehensive solutions to serve retail insurance brokers and agents of all sizes, from the large houses to the more than 30,000 independent brokers and agents worldwide. Fueled by its freedom from Wall Street and private equity, Burns & Wilcox is a privately owned company whose standards of service, depth of market relationships and outstanding talent are unsurpassed in the specialty insurance sector. Equal Opportunity Employer The H.W. Kaufman Group of companies is an equal opportunity employer. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, gender, gender identity, age, national origin, disability, veteran status, marital status, sexual orientation, pregnancy, genetic information or any other status or condition protected by the laws or regulations in the locations where we operate. In addition, Kaufman will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

Our client, a high-level executive, is looking for a Temporary Personal Assistant. The ideal candidate will be professional, tech savvy, and have demonstrated ability to maintain strict confidentiality. This position starts asap and will be an ongoing assignment. This role is mostly remote, based on the East Coast (ability to go in NY office as needed) Hours: 8/9am – 5/6pm (24/7 mentality) Responsibilities: • Act as primary contact for all personal, household, and logistical matters, • Maintain and securely manage personal records, • Oversee renewals and payments for personal expenses, • Maintain detailed inventories and documentation for all personal, entity, and trust assets, • Coordinate with property managers across multiple residences regarding staff, utilities, vendors, repairs, and service schedules, • Manage seasonal service calendars, property readiness, and respond to unexpected issues or alarm calls, • Handle mail, billing, vendor info, and maintain all account details and logins, • Track vehicle locations, update insurance and registrations, • Securely manage bank accounts and credit card information, • Process, record, and track all personal, entity, and trust expenses, loans, and investments with high accuracy, • Maintain monthly ledgers, produce financial reports, and prepare annual and incidental expense budgets, • Liaise with banks for statements, transfers, purchases, and tax documentation, • Coordinate with accountants for all tax-related filings and provide necessary financial records, • Work with attorneys on personal, entity, and trust legal matters and documentation, • Manage insurance coverage for all assets, including renewals, updates, proposals, and certificates, • Establish new entities, obtain EINs, dissolve entities, and complete annual filings and registered agent fees, • Maintain records of asset acquisitions/sales and trust distributions, • Plan and manage complex domestic and international travel, including private aviation and ground logistics, • Prepare itineraries, manage travel documents (passports, visas), and serve as on-call support while client is traveling Qualifications: • 5–7 years’ experience supporting high-net-worth individuals, family offices, or private households, • Strong security awareness for financial and online information, • Proficient in accounting software (QuickBooks, Excel) and tech-savvy, • Skilled in digital organization (Dropbox, digital filing), • Exceptional planning, organization, and follow-through with strong attention to detail, • Excellent written and verbal communication with professional interpersonal skills Please submit your resume in Word format for immediate consideration. You can use ___ to collect and manage your references for free and share them with us or anyone else you choose. Candidates with references are always preferred by our clients. Now is the most important time to stand out from the crowd. We suggest that you ensure you have updated your LinkedIn profile and that you start collecting your references early.

YOUR ROLE Ocean Import Agent $26.85 per hours - $31.00 per hour Routes outbound ocean freight shipments to there destinations by performing the following duties. WHAT ARE YOU GOING TO DO ? • Plans and directs flow of air traffic moving to overseas destinations., • Opens files on the dedicated software system for each shipment., • Ships freight, prepares documentation and waybilling, assesses charges, and collects fees for shipments., • Negotiates with domestic customers, as intermediary for foreign customers, to resolve problems and arrive at mutual agreements., • Examines invoices and shipping manifests for conformity to tariff and customs regulations. Prepares reports of transactions to facilitate billing of shippers and foreign customers., • Examines documents such as invoices, bills of lading, and shipping statements, to verify conversion of merchandise weights or volumes into system used by other country., • Converts foreign currency figures into United States monetary equivalents, or domestic currency into foreign equivalents., • Corresponds with foreign network., • Is responsible for moving shipments on time. Files documents in an accurate manner. Organizes oneself to handle the volume of activity., • Corrects EPO's if requested by the supervisor. Reports all serious difficulties to air export manager., • Prepares quotations which are under the control of the immediate supervisor. WHAT ARE WE LOOKING FOR ? • Education and Experience: High School Diploma or GED, Minimum six months to one years related experience., • Customer focused., • Ability to learn all aspects of the team’s work, and to provide cover and assistance on a regular basis., • Good Analytical skills, strong PC skills, • Thorough knowledge and understanding of sea freight product /environment., • Self-starter, disciplined with leadership and motivational abilities., WHAT DO WE HAVE TO OFFER? With a genuine culture of recognition, we want our employees to grow, develop and be part of our journey. We offer a benefits package with a focus on your wellbeing. This includes competitive Paid Time Off, 401(k), health insurance and an employee benefits platform that offers discounts on gym memberships and a diverse range of retail, travel, car and hospitality brands, including important offerings like pet insurance. We are a team in every sense, and we support each other and work collaboratively to achieve our goals together. It is our goal that you will be compensated for your hard work and commitment, so if you’d like to work for one of the top Logistics providers in the world then let’s work together to help you find your new role. ABOUT TOMORROW We value your professional and personal growth. That’s why we share plenty of career opportunities for you to thrive within CEVA. This role can be the first step on your career path with us. You can stay in the same job family, find a new family to grow in (how about sales or supply chain?) or find your own path. Join CEVA for a challenging and rewarding career.

In this position the Customer Service Data Analyst is crucial in supporting the Customer Service Center, Underwriting, and Sales teams by providing actionable insights through data analysis and comprehensive reporting. This role requires expertise in Tableau for creating reports and dashboards, proficiency in SQL Server for data extraction and query management, and the ability to support various databases and systems. The successful candidate will work closely with the Customer Service Center, Underwriting, and Sales management teams, while also interacting with Product, Finance, and IT departments. Additionally, this role includes responsibilities as a backup programmer for our Client Letter system. RESPONSIBILITIES • Collect, analyze, and interpret data from various sources to generate reports and dashboards., • Develop and maintain regular and ad-hoc reports for Service, Underwriting, Sales., • Identify trends, patterns, and anomalies in data to provide actionable insights., • Pull data from the Data Warehouse and other sources using SQL Server, running complex queries and building datasets for analysis., • Analyze call center metrics such as call volume, average handle time, and customer satisfaction scores., • Provide insights to improve call center efficiency and customer experience., • Develop reports to monitor agent performance and call center KPIs., • Monitor and report on service levels, turnaround times, and customer feedback, • Analyze underwriting metrics and workflows to identify areas for process improvement., • Create reports to track underwriting performance and efficiency., • Create reports to track sales performance and efficiency., • Develop dashboards and visualizations to track performance and identify opportunities for enhancement., • Analyze existing processes and automate manual functions through technology, • Work closely with department heads and team members to understand data needs and reporting requirements., • Present findings and recommendations to stakeholders in a clear and actionable manner., • Collaborate with IT and data management teams, including Product and Finance, to ensure data integrity and accuracy., • Identify and implement best practices for data collection, analysis, and reporting., • Continuously evaluate and improve reporting processes to enhance efficiency and effectiveness., • Serve as a backup programmer for the Client Letter system., • Program and debug client letters, run batch jobs, and resolve any related issues. QUALIFICATIONS • Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field., • Proven experience as a Data Analyst, Business Analyst, or similar role, preferably within a customer service or financial services environment., • Proficiency in data analysis tools and software (e.g., Excel, SQL, Tableau, Power BI)., • Strong analytical skills with the ability to interpret complex data and present findings clearly., • Experience with call center metrics and underwriting processes is a plus., • Excellent communication skills, both written and verbal., • Strong attention to detail and ability to work independently with minimal supervision., • Ability to manage multiple projects and deadlines effectively. SALARY RANGE The pay range for this position is $61,500 to $81,500 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity. PERKS & BENEFITS • 4 weeks accrued paid time off + 9 paid national holidays per year, • Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision), • Annual 401(k) Employer Contribution, • Free onsite gym at our Woodbridge Location, • Resources to promote Professional Development (LinkedIn Learning and licensure assistance), • Robust health and wellness program and fitness reimbursements, • Various Paid Family leave options including Paid Parental Leave, • Tuition Reimbursement ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”.

Are you ready to embark on a rewarding career journey? At Plymouth Rock, we pride ourselves on fostering a dynamic and supportive service center environment where professionalism and teamwork are highly valued. If you’re the kind of person who enjoys solving problems and helping others when they need it, this could be a great opportunity to start your career at Plymouth Rock! We’re currently seeking passionate individuals to join our team as Customer Service Representatives, where you'll play a pivotal role in providing exceptional service to our valued customers, agents, and partners. As a Customer Service Representative, you'll be at the forefront of our customer interactions, handling inbound calls with efficiency and professionalism. RESPONSIBILITIES • Answer inquiries via phone, email and texting regarding policies, coverages, and premiums with confidence and accuracy., • Ensure first call resolution, making the customer experience as seamless as possible., • Develop and maintain comprehensive product knowledge across all three lines of insurance (Auto, Homeowner, and Umbrella)., • Cultivate strong relationships with our agents and partners, contributing to our collaborative work environment., • Utilize your analytical and decision-making skills to address policy changes and corrections effectively., • Exceed customer and agent expectations by delivering top-notch service through positive interactions and extensive product expertise., • The ability to work a flexible schedule is a critical aspect of this position. Hours for this position are shifts between: 8:00am–7:00pm Monday – Friday and 10:00am–3:00pm every third Saturday. QUALIFICATIONS • Strong interpersonal, communication, and organizational skills., • Analytical mindset with good decision-making abilities., • Proficiency in computer skills and data entry., • High motivation to take ownership and follow up on tasks., • Flexibility to adapt to a fast-paced, changing environment., • Ability to work weekdays and rotational Saturdays., • High school diploma required, college degree is a plus!, • Spanish language proficiency is a plus! SALARY RANGE The pay range for this position is $45,000 to $49,500 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity. PERKS & BENEFITS • 4 weeks accrued paid time off + 9 paid national holidays per year, • Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision), • Annual 401(k) Employer Contribution, • Free onsite gym at our Woodbridge Location, • Resources to promote Professional Development (LinkedIn Learning and licensure assistance), • Robust health and wellness program and fitness reimbursements, • Various Paid Family leave options including Paid Parental Leave, • Tuition Reimbursement ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”. #LI-DNI

AI Engineer Location: San Francisco or New York City Pathwork is redesigning life & health insurance jobs for the AI age. We believe the 2.5M professionals in the $1T life and health insurance industry don’t need better tools; they need a new operating system. We’ve already proven it: * 40+ top brokerages and national carriers use Pathwork * Active pilots with multiple top-10 insurance companies * 150%+ QoQ growth, every quarter since launch Built from day one as AI-native, Pathwork uses agentic orchestration, structured data pipelines, predictive models, and generative AI to transform insurance distribution—bringing speed, structure, and intelligence to outdated workflows. * Category-defining product already in use by national brokerages and insurers * $3.75M in funding from top VCs * Deep founder experience: Work closely with experienced founders who’ve built and scaled companies from zero to IPO in insurance and AI * Scenic, focused, intentional: Work from the Presidio in SF or our Domino Park office in Brooklyn—spaces built for walking meetings, deep work, and ambitious thinking. * Early team, deep ownership, real impact: You’ll shape the systems, the stack, and the trajectory of the product. * High-trust & Long-term oriented: Grow with a team that values trust, authenticity, learning, and lasting impact. Your contributions will help shape our product, culture, and the long-term legacy of the company. Python · TypeScript · Node.js · FastAPI · Postgres · Qdrant · LangGraph · Whisper · AWS (Lambda, EC2, ECS, S3) · Terraform · React · Next.js We’re hiring an AI engineer, a full-stack, strategic builder who can take a large project from a working prototype to an industry-defining product. You’ll lead development of our agentic AI systems, owning model orchestration, retrieval, real-time inference, evaluation, and production infrastructure, and collaborating closely with the founding team on product and technical strategy. * Build the engine: Design and own end-to-end agentic systems—retrieval, orchestration, inference, eval, and feedback loops * Scale the stack: Shape our architecture across model interfaces, data pipelines, vector DBs, and streaming infrastructure * Ship fast: Partner with product and design to prototype, test, and launch AI-driven features that deliver real value * Improve performance: Continuously optimize accuracy, latency, and robustness through fine-tuning, eval frameworks, and data iteration * Learn from the field: Join sales and customer calls to understand real-world pain points, pressure-test features, and translate feedback into product improvements * Support growth: Build infrastructure and tools that help the whole company move faster—debugging, observability, agent testing * Build your team: Hire, mentor, and collaborate with engineers who care about craft, velocity, and real-world impact * Have 5–10 years of experience building AI or ML-powered systems, ideally in high-growth or early-stage environments * Have shipped real products that use LLMs, retrieval, orchestration, or streaming inference—not just prototypes * Think full-stack, end-to-end: You’re comfortable moving between modeling, infra, and product-facing code * Have an entrepreneurial mindset and thrive on building from scratch—systems, processes, tools, and the team * Can explain complex ideas clearly, especially to non-technical teammates, customers, and stakeholders * Thrive in ambiguity and take ownership in fast-paced, high-trust environments * Bonus: Experience with vertical software businesses or agentic AI systems * Competitive comp + meaningful equity * Employee-centric benefits including: * High 401(k( match and FSA program * Modern, employer-paid health benefits designed to support you on your terms * Generous PTO policy with clear guidelines so you can take real time off without the guilt or guesswork of “unlimited” PTO * Real ownership, autonomy, and direct collaboration with the founders * A chance to define a category and shape a product from scratch * A hybrid culture anchored in SF and NYC—4 days a week in our Presidio HQ or our Williamsburg office on Domino Park—where you'll work side-by-side with the founding team, shape our rituals, and help create the moments and memories that define our company.

Why We Work at Dun & BradstreetDun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at ___. The AI Engineer II will be responsible for designing and deploying agentic AI systems that enhance product capabilities and enable intelligent automation. This role focuses on building modular, scalable agents using both open-source and proprietary large language models. The AI Engineer II will contribute to the development of reusable components, data pipelines, and performance optimization strategies that support advanced agent behaviors across diverse environments • Design and implement AI agents using Python, integrating both open-source frameworks (e.g., LangChain, VLLM, Ollama) and proprietary LLMs (Open AI, VertexAI, etc)., • Develop modular, scalable, and reusable components for agent architecture including memory, planning, tool use, and multi-modal capabilities., • Collaborate with product teams to prototype and evaluate novel agent behaviors and learning strategies., • Support benchmarking of agent performance across tasks and environments., • Assist in identifying bottlenecks and proposing optimizations., • Build and maintain scalable data pipelines to support agent training, evaluation, and deployment., • Implement observability and monitoring frameworks to ensure agent reliability and compliance., • Integrate vector databases and embedding techniques to support agent memory and retrieval., • Maintain CI/CD pipelines and MLOps frameworks to enable continuous delivery of AI capabilities., • Assist fine-tuning and prompt engineering workflows to optimize agent performance across domains., • Follow data governance and security best practices to ensure agent compliance with organizational standards., • Advanced degree (MS/PhD) in Computer Science, AI, Machine Learning, or related field required., • Experience with agent orchestration frameworks, simulation environments, or robotics., • Experience with Python Multiprocessing, • Familiarity with cloud platforms (GCP, AWS, Azure) and containerization (Docker, Kubernetes)., • Strong work experience with graph data and time series as well as working knowledge of Reinforcement Learning algorithms and LLM fine tuning are pluses., • Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success., • Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs., • Where applicable, fluency in English and languages relevant to the working market., • Bachelors - Required, • Advanced Degree - PreferredBenefits We Offer· Generous paid time off in your first year, increasing with tenure.· Up to 16 weeks 100% paid parental leave after one year of employment.· Paid sick time to care for yourself or family members. · Education assistance and extensive training resources.· Do Good Program: Paid volunteer days & donation matching. · Competitive 401k with company matching.· Health & wellness benefits, including discounted Wellhub membership rates.· Medical, dental & vision insurance for you, spouse/partner & dependents. All Dun & Bradstreet job postings can be found at ___. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's ___ and ___, which governs the processing of visitor data on this platform. Equal Employment Opportunity (EEO): Dun & Bradstreet provides equal employment opportunities to applicants and employees without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. Know Your Rights: Workplace Discrimination is Illegal - The current poster can be found ___. We participate in E-Verify - The current poster can be found ___. Accommodations information for applicants with disabilities: Dun & Bradstreet is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with Dun & Bradstreet, please send an e-mail to ___ to let us know the nature of your accommodation request and your contact information.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please visit .

___ 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. As a Backend AI Engineer at Traversal, you’ll play a key role in designing and building the core systems behind our AI site reliability engineer, the infrastructure that enables real-time incident detection, root cause analysis, and automated remediation in some of the most complex production environments. You’ll work closely with our AI and infrastructure teams to productionize novel AI agent architectures and machine learning algorithms, develop high-performance inference APIs, and build internal observability tooling. Your work will span ingesting and reasoning over logs, metrics, and traces at scale, optimizing systems across hybrid SaaS and on-prem deployments, and supporting mission-critical reliability for global enterprises. • Backend System Design & Architecture: Lead the design and implementation of scalable, robust backend systems to support AI agents and observability tools., • API Development: Design and implement high-performance APIs to enable seamless communication between backend systems and frontend interfaces., • Data Management: Ensure efficient data storage, retrieval, and processing, leveraging technologies like PostgreSQL, Redis, or others., • AI Integration: Collaborate with AI engineers to integrate AI-driven insights and solutions into backend systems, and take ownership of API authentication and authorization frameworks., • Performance Optimization: Monitor, optimize, and scale backend services to handle high volumes of data while ensuring low-latency performance., • Collaboration: Partner with frontend engineers, AI researchers, and other teams to ensure a seamless, high-performance user experience., • Mentorship: Provide technical leadership and mentorship to junior engineers, helping to grow a strong backend engineering team., • 3+ years of software engineering experience, with a strong focus on backend development and full-stack systems., • Proven ability to lead in fast-paced startup environments, with limited resources, shifting priorities, and minimal structure., • Strong experience with Python and web frameworks such as FastAPI., • Hands-on experience with React, TypeScript, Next.js, and TailwindCSS to build fast, responsive, and maintainable frontends. React experience is essential, but we’re happy to support learning the other tools., • Experience deploying applications on AWS, working with ECS or Kubernetes, Postgres for data storage, and S3 for large-scale object storage., • Familiarity with observability and monitoring tools, specifically Datadog, to ensure the system is running smoothly and efficiently., • Familiarity with Python-based ecosystems is a plus., • Experience working with Agentic AI systems or in the observability domain., • Background in large-scale, complex, data-driven applications., • Familiarity with AI or LLM-powered products. 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. 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.

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.

Location: New York, NY (100% On-site) Compensation: $175,000 - $300,000 (Base Salary) + Highly Competitive Equity We are a rapidly growing AI company that has achieved product-market fit by equipping accountants with a team of autonomous AI Agents to tackle real workflows. Backed by world-class investors and experiencing 10x revenue growth in the last five months, we are scaling fast. We are looking for an Applied ML Engineer to take full ownership (Responsible Party, or RP) of end-to-end projects, reasoning, experimenting, and shipping agent systems that get smarter over time. This is a high-autonomy role for engineers who want to operate like researchers and builders simultaneously. You will have the freedom to scope projects, define success, run experiments, and decide when systems are ready to ship, always designing for clarity and instrumenting deeply. What you’ll be doing: • Agent System Evolution: Design and iterate on multi-agent architectures that automate complex, real accounting workflows. Encode autonomy boundaries, tool usage, and fallback behaviors to make agents safe and reliable., • Evaluation & Experimentation: Build scalable evaluation pipelines (offline and online) to automatically run hundreds of experiments. Define golden tasks, labeling strategies, and metrics to track regressions, error taxonomies, and drive closed-loop improvement., • Context & Retrieval Engineering: Architect prompt stacks and instruction hierarchies to structure model reasoning. Build retrieval and indexing pipelines that surface context efficiently, including parsing messy documents into structured representations., • Model Optimization: Route, evaluate, and optimize models under real-world constraints (latency, cost, accuracy). Design guardrails and validation layers to keep behavior safe and deterministic., • Full Ownership (RP): Operate as the Responsible Party—scoping projects with clarity, writing concise specs, building/testing/instrumenting systems end-to-end, and driving delivery., • Experience: 3 to 10 years of experience developing complex data-heavy products and Machine Learning models., • Technical Stack: Strong proficiency in Python and experience with database systems like Postgres., • Engineering Fundamentals: Strong software engineering fundamentals and the ability to instrument deeply and design for clarity., • Autonomy & Ownership: Proven ability to operate with full autonomy, taking ownership from first principles to successful delivery., • AI/ML Experience: Experience designing and implementing systems that leverage LLMs or complex machine learning models in production., • Mindset: A mix of high competence, work ethic, eagerness to learn, and a commitment to building production-quality agentic systems., • Equity & Compensation: Competitive salary ($175,000 - $300,000) with highly competitive equity compensation that is well above market rate., • Growth & Ownership: Unprecedented ownership and responsibility from day one in an extremely fast-growing company (10x revenue growth in 5 months)., • Work Policy: 100% On-site work, 5 days a week, in our New York City (Flatiron) office, fostering interdisciplinary collaboration., • Health: 100% employer-paid medical, dental, and vision insurance., • Office Perks: In-office lunches provided., • Team: Join a dedicated, high-caliber team backed by world-class investors and leaders from the ML and fintech communities., • Visa Support: Visa sponsorship is available for all types. 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 .

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.

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

As an Insurance Producer at Horace Mann, you'll receive mentorship from an experienced agent while gaining hands-on experience in the industry. As an Insurance Producer, you'll be guided by a mentor agent who will support you every step of the way to ensure your success. Insurance Producer - Provide

We are hiring licensed insurance agents who are positive, persuasive, and have the drive to succeed. Life Insurance: Access life insurance options to safeguard your loved ones. Health Benefits: Full-time employees are eligible for comprehensive medical, dental, and vision coverage after 90 days of e

Attend meetings and training and review all new training material to stay up-to-date on changes to program knowledge, systems, and processes. Utilize knowledge base and training to accurately answer customer questions and sell appropriate products and services. We provide all new employees with worl

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

* At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London. * We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. * Our co-founders are ___ and ___. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. * Design and ___: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. * Drive the ___ (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. * Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. * Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. These are some examples of projects that engineers on our team have worked on recently: * Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn * Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations * Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in ___! * Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development * Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers * Experience building and scaling end-to-end production systems * Strong technical problem-solving skills, especially in fast-changing, ambiguous environments * A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship * Comfort working directly with customers to understand their needs and solve real-world problems * Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences * Experience building or deploying AI/LLM systems in production * Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed * Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering * Prior experience with React, TypeScript, and/or Go * Previous roles where you interfaced with customers or led technical projects with external stakeholders * Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. * Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. * Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. * Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. * Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. We want our benefits to reflect our values and offer the following to full-time employees: * Flexible (Unlimited) Paid Time Off * Medical, Dental, and Vision benefits for you and your family * Life Insurance and Disability Benefits * Retirement Plan (e.g., 401K, pension) with Sierra match * Parental Leave * Fertility and family building benefits through Carrot * Lunch, as well as delicious snacks and coffee to keep you energized * Discretionary Benefit Stipend giving people the ability to spend where it matters most * Free alphorn lessons These benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

At Compass, our mission is to help everyone find their place in the world. Founded in 2012, we’re revolutionizing the real estate industry with our end-to-end platform that empowers residential real estate agents to deliver exceptional service to seller and buyer clients. About the Role: As a Senior Software Engineer in the Agent Client Tools organization, you will use your experience with microservices based architecture to build products that deliver high business impact for our customers. You will lead design and develop services to support an industry leading consumer experience while also supporting the growth of the world’s most scalable brokerage. You are an engineer who is passionate about creating great products that are easy to use. You feel it is critical that your voice is heard in product and business decisions. You love to learn, and equally love to share your knowledge with others. You are a great communicator and you take care to understand before making yourself understood. You design systems are fault tolerant, scalable, highly available, well-tested, eventually consistent, and follow best practices such as the single responsibility principle. Your code is designed for modularity and re-use. You take pride in delivering solid code that is well-tested, peer-reviewed, and follows best practices. You have strong opinions on code structure, style, and development processes. At Compass, You Will: • Build, develop, and scale the platform that empowers real estate professionals, buyers, and sellers., • Become a domain expert in real estate technology, serving as an empathetic partner to our customers., • Inspire, recruit, and mentor fellow engineers., • Lead in the architecting of our distributed microservices architecture., • Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring to drive efficiencies, • Execute on standard agile development methodology, • Join a great team with a lot of visibility and some challenging projects on the horizon What We Look For: • BS in Computer Science, Software Engineering or equivalent practical experience, • A track record as a technical leader with cross-team impact., • 5+ years of experience developing comprehensive, well-tested, and high-performance software applications., • 5+ years of programming experience in languages such as Java or Go, • Experience with gRPC, Thrift, and other server-to-server communication protocols., • Experience with Kafka and event-driven systems, • 3+ years using AWS / cloud technologies., • High proficiency designing and implementing microservices, • Understanding and adherence to industry-standard best practices in software development and architecture., • Experience with Scrum/Agile development methodologies, • Strong critical thinking skills, great communication skills and passion for delivering an operational excellence If you're passionate about shaping the future of real estate technology and possess the skills and experience we're seeking, we encourage you to join our dynamic team at Compass. Together, we'll continue to transform the industry. Compensation: The base pay range for this position is $111,000-$167,000; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met. Perks that You Need to Know About: Participation in our incentive programs (which may include eligible cash, equity, or commissions). Plus paid vacation, holidays, sick time, parental leave, and recharge leave; medical, tele-health, dental and vision benefits; 401(k) plan; flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a support system for new parents); Carrot (fertility benefits); UrbanSitter (caregiver referral network); Employee Assistance Program; and pet insurance. Do your best work, be your authentic self. At Compass, we believe that everyone deserves to find their place in the world — a place where they feel like they belong, where they can be their authentic selves, where they can thrive. Our collaborative, energetic culture is grounded in our Compass Entrepreneurship Principles and our commitment to ___ growth and mobility. As an equal opportunity employer, we offer competitive compensation packages, robust benefits and professional growth opportunities aimed at helping to improve our employees' lives and careers.

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.

Who we are Our name is inspired by Theodore Roosevelt’s ‘Citizenship in a Republic’ speech, which pays homage to the ‘(hu)man in the Arena’. To us, entering the Arena means committing oneself fully and accepting the risk of failure in the pursuit of an audacious, worthy cause. We’re a close-knit team of scientists and builders redefining the future of hardware engineering. If you share our passion for delving deep into real-world problems and solving them with fully autonomous AI, join us in the Arena. What we do Our collective future is being built in the physical world, but the builders of tomorrow’s technology can no longer rely on yesterday’s tools. At Arena, we’re building the world’s first AI industrial engineer designed to solve the most complex hardware and manufacturing challenges. Our product, Atlas, is built with an understanding of the behavior of physical systems, powered by a superior knowledge of core domains of physics. Paired with its ability to reason about multimodal industrial data, Atlas can test, debug, optimize, and repair physical systems and products in the real world. Arena is already trusted by some of the most advanced industrial companies in the world (AMD, Bausch & Lomb), and we're rapidly already scaling into the defense, automotive, and pharmaceuticals industries, and we’re just getting started. About the role As a Software Engineer at Arena, you will work to help build and scale our core Atlas platform. This will include designing multi-agent systems, architecting and building multimodal agentic workflows, analyzing internet-scale datasets, evaluating, training, and fine-tuning large models, and developing new E2E features built on Arena’s product stack. You will work closely with our Product and Go-To-Market teams to ensure a rapid iteration loop that incorporates customer and user feedback. You will be responsible for building scalable and performant software and experiences. Responsibilities You Have • 5+ years of software development experience at a venture-backed startup or top technology company, with a focus on distributed systems and platform engineering., • Proficient in building backend and distributed systems, • Demonstrated interest and familiarity with building multi-agent systems., • Deep understanding of scalable system design, performance optimization, and resilience engineering., • Extensive experience with cloud platforms (e.g., AWS, Azure, GCP)., • Skilled at analyzing complex problems, proposing innovative solutions, and communicating technical concepts to both technical and non-technical stakeholders., • Comfortable with rapid prototyping and iterating based on user feedback., • Self-directed and excited to take ownership of major initiatives., • Proven track record of leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to support a collaborative and inclusive work culture. Nice to have • An interest in and experience with hardware, electrical engineering, and how AI can accelerate these domains Requirements • Willingness to work in our NYC or LA office 5 days a week. Relocation assistance is available., • Willingness to travel domestically and internationally to customer locations, with travel making up approximately 10%-15% of your time. Benefits & Perks Include • 99% of the monthly premium for Aetna medical insurance, plus vision and dental coverage, • 401(k) Retirement Plan, • Unlimited PTO, • Lunch every day from local restaurants via Sharebite The base salary range for this position is $150,000 - $225,000 yr. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages.

At Achilles, we’re building AI agents to solve the biggest problem for frontline industries — hiring. Sam is our flagship voice and text agent that owns the entire candidate hiring pipeline — from creating resumes for candidates, to conducting multi-lingual voice interviews, to scheduling in-person final interviews with clients, all without human intervention. Our products will strengthen the workforce of American businesses by helping them find the right candidates while drastically improving the candidate experience by making sure they get a fair chance at every opportunity. If you’re excited about building entirely new kinds of products enabled by agentic workflows, and working with businesses in frontline industries, join us. Our team has personally recruited 1,000s of hourly workers and generated millions in revenue in this space. There is no team that has more domain expertise than us. * Read (CEO) — Built the growth function at Traba, an industrial staffing startup, and grew revenue from $1M to $20M ARR. Prior to this, he was in private equity buying and operating industrial facilities. He uniquely understands the challenges facing industrial HR and how to disrupt the sector with AI. * Ben (CTO) — Lead the engineering team at Traba that built it’s core infrastructure. Prior to Traba he was a senior engineer at Tesla, leading development of, and building their global in-vehicle media streaming services. * Owen (CPO) — Founding product manager at Traba, where he led product for a 22 person engineering team, built core ML systems for fraud detection and instant pay, and launched the top-performing food production vertical. * The rest of our founding team hails from Meta, Roblox, USC, and Waterloo. * Work at the forefront of LLMs and voice technology. * Work directly with customers to understand their needs and build high-impact solutions. * Set the new standard for UX in HR software and agentic products. * Experience contributing to an exceptional product, interesting project, or hard technical problem. * Comfort with moving fast, ambiguity, and working hard. * High standards for code quality. * Top of market cash and equity for top of market candidates * In-office working in NYC and opportunities for ongoing collaboration * Daily lunch and dinner provided in the office * 100% subsidized health, dental, and vision insurance * 401(k) plan options

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. The Agents Infrastructure team at Anthropic is on a mission to build seamless and robust infrastructure and SDKs for LLM-based agents. Our current priorities include developing sandboxed code execution environments and associated tool use SDKs. Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. • Design and implement secure, scalable sandboxed execution environments for AI agents using containerization technologies, • Create intuitive and flexible SDKs for tool use and function calling in LLM-based agents, • Collaborate closely with researchers to onboard research ideas onto the platform, • 8+ years of industry-related experience, • Have a strong software engineering background and are interested in working closely with researchers and other engineers, • Enjoy pair programming (we love to pair!), • Care about code quality, testing, and performance, • Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems, • 8+ years of experience in software engineering, with a focus on systems programming or large-scale distributed systems, • Strong knowledge of containerization technologies, • Experience building scalable, serverless platforms, • Building security-oriented infrastructure, • Familiarity with LLM agent frameworks (e.g., Langchain) Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: Annual Salary:$320,000—$405,000 USD Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation and Benefits* Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates. Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance. US Benefits - The following benefits are for our US-based employees: • Optional equity donation matching., • Comprehensive health, dental, and vision insurance for you and all your dependents., • 401(k) plan with 4% matching., • 22 weeks of paid parental leave., • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!, • Stipends for education, home office improvements, commuting, and wellness., • Fertility benefits via Carrot., • Daily lunches and snacks in our office., • Relocation support for those moving to the Bay Area. UK Benefits - The following benefits are for our UK-based employees: • Optional equity donation matching., • Private health, dental, and vision insurance for you and your dependents., • Pension contribution (matching 4% of your salary)., • 21 weeks of paid parental leave., • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!, • Health cash plan., • Life insurance and income protection., • Daily lunches and snacks in our office., • This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

About Amperos Health Amperos Health is the leading provider of multi-modal RCM agents empowering healthcare clinics to collect more revenue, faster. Founded in 2023 and backed by Uncork, Neo, ___ and strategic angels from OpenAI, Stripe, and Twilio, we're on a mission to revamp the bridge between healthcare providers and payers. Our vision is to equip healthcare providers with an AI workforce that reduces administrative burden and accelerates revenue. About the role We’re building new agents to tackle new administrative workflows for healthcare providers. We are looking for all-star Agent Engineers to partner closely with our clients to solve some of their biggest RCM workflow inefficiencies. As an Agent Engineer at Amperos, you’ll get to work on frontier problems in AI and use the latest AI technology. You’ll work side by side with our customers to prototype end-to-end solutions to workflows and productize those prototypes. What you’ll do * Partner closely with customers to build end-to-end agentic workflows * Work on building voice AI, browser agents, and generative AI features * Build traditional full-stack features, tools, and automations to support these agentic products * Lead both 0-1 projects but also 1-X * Develop deep expertise in RCM workflows to be able to empathize with our users and make good engineering product decisions Who we’re looking for * Strong product minded full-stack engineers (backend expertise) that can build LLM products * Can work with customer directly to solve their problems rather than just following specs * Excited to build in an industry that is underserved by technology and immerse themselves in the world of healthcare billing and revenue cycle management * Willing to wear different hats and do whatever is necessary. No task is beneath us. * High agency. You don’t need much instruction to create results. You pride yourself on being able to just figure things out. * Great communicator both verbally and written. You proactively push necessary information to the team rather than the team needing to pull info from you. Perks & Benefits * Competitive compensation * Paid lunch, coffee, snacks (and dinner if you’re staying late) * In person culture at our cozy Flatiron district office in NYC with work from home on Fridays * Flexible hours and time off * AI subscriptions of your choice covered * Health, dental, vision insurance * 401(k) with matching contribution Our Values * Lead with Empathy - Great products and teams are built on empathy—whether for our customers, users, or team members. We take the time to walk in others' shoes, listen actively, and truly understand their challenges, needs, and perspectives. * Humbly Ambitious - We combine humility with ambition. No task is beneath us, and no challenge too big. Greatness comes from being willing to do whatever it takes, while having the courage to take bold risks and learn from failures. * Radical Agency - Own your domain. Drive initiatives with autonomy and accountability. Think deeply, communicate with the team, and maintain a bias for action.

Artian AI is pioneering a transformative agentic AI-driven approach to enterprise process automation, redefining what’s possible in regulated industries like financial services. By advancing the concept of AI Workflow Agents and enabling seamless collaboration among them, Artian is poised to deliver what RPA and BPM tools have long promised but never achieved. With a vision to make AI-powered automation scalable, reliable, and adaptable, Artian is starting with financial services but sees vast potential for its Artian Intelligence Platform across industries. Led by a team of experts at the forefront of AI research and enterprise innovation, Artian is shaping the future of multi-agent automation in large-scale, mission-critical environments. Learn more about us at ___. Our platform leverages the latest in AI and machine learning to deliver scalable, intelligent automation. As we rapidly scale, we're looking for a talented Solutions Engineer that can work hand-in-hand with our product development and go-to-market teams and with large enterprise customers to design and develop novel multi-agent AI solutions for specific customer use cases using the Artian Intelligence Platform. Please note: This position is on-site in New York, with some flexibility. Key Responsibilities: * Partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. * Work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. * Design and build PoCs and pilot use cases in a very rapid development, iteration and deployment environment. * Collaborate with the product management, engineering, and go-to-market teams to drive improvements in our core product and solution offerings. * Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process. * Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process. Requirements: * Bachelor's or Master's degree in Computer Science. * 5+ years of experience in a software engineering role, working in cloud environments like AWS, Google Cloud, or Azure. * Strong experience in forward deployed solution engineering, pre-sales engineering, or similar role, managing C-level technical and business relationships with complex global organizations. * Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products. Preferred Qualifications: * Understanding of regulatory and compliance standards (GDPR, SOC 2, ISO 27001, etc.). * Experience in AI/ML environments, supporting machine learning operations (MLOps/LLMOps/AIOps) and data pipelines. * AWS/GCP/Azure certifications. What We Offer: * Competitive salary and equity options. * Opportunity to work with leading-edge AI technologies in a fast-growing startup. * Collaborative, inclusive, and innovative team culture. * Professional development opportunities, including certifications and training. * Health insurance and other benefits. How to Apply: If you're passionate about cloud infrastructure, DevOps best practices, and want to help shape the future of AI technology, we'd love to hear from you. Please submit your resume and a brief cover letter outlining your experience and interest in the role at ___.

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

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 .

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.

At Fern, we believe every software company should offer a world-class API. We're building the toolkit to make that possible. We enable customers like Square, ElevenLabs, Webflow, and Intercom to offer a best-in-class developer (DX) and agent experiences (AX). Our team is primarily ex-Palantir and ex-founders, working together from our office in Williamsburg, Brooklyn. We give builders the autonomy to take ownership, the speed to move quickly, and the support to do the best work of their careers. Fern is growing more than 5x year-over-year, is at the Series A stage, and has raised over $10M from Bessemer and Y Combinator. * Experience a hyper-growth startup: Join a top-decile growth company early. You'll get firsthand exposure to how a startup scales with visibility into product, engineering, design, and go-to-market. Thinking of founding a startup someday? This is the place to learn. * High trust and autonomy: You’ll have ownership over meaningful projects from day one, with the freedom to shape technical decisions and influence product direction. We trust engineers to figure out the best path forward—without micromanagement. * We move quick: Your code will ship quickly and be used by our customers within days (and sometimes hours). We prioritize shipping fast, and invest in the developer experience toolchain to make that possible. * Few meetings and bureaucracy: No bloated sprint rituals or unnecessary status updates. Just clear priorities, thoughtful async communication, and space to build. * Palantir-inspired customer obsession: Many of our engineers come from Palantir and bring the same focus on solving real customer problems. You’ll work directly with users to tackle their top developer priorities and shape the product through hands-on feedback. As a Swift SDK Engineer at Fern, you’ll define what great looks like for modern Swift SDKs—making them idiomatic, reliable, and delightful to use. You’ll own parts of our open source compiler, shaping the core abstractions behind all generated SDKs. You’ll also stay deeply connected to the Swift community, evolving the SDK based on real-world developer feedback and emerging best practices. * Define Swift best practices. You’ll set the tone for how a modern Swift SDK should feel — readable, idiomatic, and a joy to use. We’re constantly raising the bar to make our SDKs the best in the industry. This is more than code generation; it's about crafting Swift libraries that developers trust and love. * Build out our compiler. You'll own core components of our ___, defining the primitives that power every one of our SDKs. You’ll implement new capabilities like ___ and ___, and push the boundaries of what a generated SDK can offer. * Engage with the Swift community. You’ll stay on top of modern Swift tools and frameworks, incorporate best practices, and work directly with developers through GitHub issues and community forums to evolve the SDK based on real-world needs. * 3+ years of software development * Strong communicator; comfortable solving technical problems with customers * TypeScript proficient with willingness to work across multiple languages * Deep experience with modern Swift tools, such as SwiftPM, Combine, SwiftLint, and Xcode Instruments * Strong grasp of Swift’s evolving ecosystem — from protocol-oriented programming to adoption of SwiftUI and modern Apple SDKs * Enthusiasm for shaping language communities, like ___, our C# engineer who ___ with the .NET team * Experience with OpenAPI, AsyncAPI, Protobuf, Conjure (Palantir), Smithy (AWS), Coral (Amazon) * Your personal GitHub profile is a deep green from commits and side projects * Prime office location in the heart of Williamsburg, Brooklyn * Bonus $18,000 per year for living close to the office * Free meals (breakfast, lunch, and dinner) * Health, dental, and vision insurance * Unlimited vacation * Flexible WFH policy * Domestic and international team ___ * Phone screen with a Fern engineer * Three interviews: one coding, one system design, one behavioral * Come onsite to meet and work with our team

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

As a Receptionist - State Farm Agent Team Member with Justin Bush - State Farm Agent, you will generate the kind of exceptional client experiences that reinforce the growth of a successful insurance agency. State Farm agents' employees are not employees of State Farm. State Farm agents are independe

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

As a Customer Service Representative - State Farm Agent Team Member with Emond Richardson - State Farm Agent, you will generate the kind of exceptional client experiences that reinforce the growth of a successful insurance agency. State Farm agents' employees are not employees of State Farm. You wil

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

As a Customer Service Representative - State Farm Agent Team Member with Carl Ferraro CJ - State Farm Agent, you will generate the kind of exceptional customer experiences that reinforce the growth of a successful insurance agency. Your attention to detail, customer service skills, and desire to hel

Carl Ferraro CJ - 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 com

Randolph Loyd - State Farm Agent is a leading insurance agency dedicated to providing exceptional service to our customers.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 com