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Zurich is currently looking to hire an experienced Underwriting Specialist or Executive Underwriter – Excess Casualty to join our growing Construction team in our New York, NY, Boston, MA or Philadelphia, PA office!. While we are open to our New York, NY, Boston, MA or Philadelphia, PA office, you will have the flexibility to work on a hybrid basis. You will partner with your manager to set a flexible work schedule that supports you, our customers, and our brokers and agents. This role will require you to be visible in the marketplace to meet with our agents and brokers and be in the office/market three days per week. The ideal candidate with have a background in Excess Casualty and/or Construction. What you can expect in a Market Facing Underwriting position at Zurich: • You will develop and maintain relationships with broker partners and customers in the Construction industry in support of business objectives, • You will leverage your casualty underwriting acumen across risk assessment, exposure evaluation and pricing to generate and maintain a profitable book of new and renewal business, • You will work collaboratively across business units including but not limited to; claims, finance, risk engineering, actuary, and technical underwriting while gaining extensive knowledge in a growing and innovative industry, • You will be empowered to use your market facing, negotiation and interpersonal skills to grow and develop relationships with preferred distribution partners in an assigned territory In this role you will be responsible for: • Underwriting and pricing a solid renewal book., • Identifying and analyzing new growth opportunities., • Ensuring that accounts are qualified, meet with the organization's appetite and are balanced with sound business opportunity., • Making agent/broker/customer and on-sight calls with a planned and well-prepared purpose., • Overseeing negotiations of Terms & Conditions and closing deals., • Ensuring cross-sell within areas of responsibility to increase product density with the Zurich customer. This role will be filled at either an Underwriting Specialist or Executive Underwriter level. The hiring manager will determine the appropriate level based upon the selected applicant’s experience and skillset relative to the qualifications listed for this position. Underwriting Specialist – Excess Casualty Basic Qualifications: • High School Diploma or Equivalent and 3 or more years of experience in the Underwriting or Market Facing area. OR • High School Diploma or Equivalent and 6 or more years of experience in the Claims or Underwriting Support area OR • Zurich Certified Insurance Apprentice including an Associate Degree and 1 or more years of experience in the Underwriting or Market Facing area OR • Zurich Certified Insurance Apprentice including an Associate Degree and 4 or more years of experience in the Claims or Underwriting Support area AND • Knowledge of line/s of business and the legal and regulatory guidelines, • Knowledge of time restraints for quotes on new and renewal business, • Experience with Microsoft Office OR Executive Underwriter – Excess Casualty Basic Requirements: • High School Diploma or Equivalent and 5 or more years of experience in the Underwriting or Market Facing area. OR • High School Diploma or Equivalent and 10 or more years of experience in the Claims or Underwriting Support area OR • Zurich Certified Insurance Apprentice including an Associate Degree and 3 or more years of experience in the Underwriting or Market Facing area OR • Zurich Certified Insurance Apprentice including an Associate Degree and 8 or more years of experience in the Claims or Underwriting Support area AND • Knowledge of line/s of business and the legal and regulatory guidelines, • Knowledge of time restraints for quotes on new and renewal business, • Experience with Microsoft Office Preferred Qualifications: • Bachelor’s Degree, • Strong verbal and written communication skills Your pay at Zurich is based on your role, location, skills, and experience. We follow local laws to ensure fair compensation. You may also be eligible for bonuses and merit increases. If your expectations are above the listed range, we still encourage you to apply—your unique background matters to us. The pay range shown is a national average and may vary by location. The combined salary range for this position is $75,000.00 - $165,000.00. The proposed salary range for the Underwriting Specialist is $75,000.00 - $125,000.00, with short-term incentive bonus eligibility set at 10%. The proposed salary range for the Executive Underwriter is $100,000.00 - $165,000.00, with Global Specialty Incentive Plan bonus eligibility set at 30%. We offer competitive pay and comprehensive benefits for employees and their families. [Learn more about Total Rewards _.] Why Zurich? At Zurich, we value your ideas and experience. We offer growth, inclusion, and a supportive environment—so you can help shape the future of insurance. Zurich North America is a leader in risk management, with over 150 years of expertise and coverage across 25+ industries, including 90% of the Fortune 500®. Join us for a brighter future—for yourself and our customers. Zurich in North America does not discriminate based on race, ethnicity, color, religion, national origin, sex, gender expression, gender identity, genetic information, age, disability, protected veteran status, marital status, sexual orientation, pregnancy or other characteristics protected by applicable law. Equal Opportunity Employer disability/vets. Zurich complies with 18 U.S. Code § 1033. Please note: Zurich does not accept unsolicited CVs from agencies. Preferred vendors should use our Recruiting Agency Portal. Location(s): AM - New York, AM - Philadelphia, AM - Boston Remote Working: Yes Schedule: Full Time Employment Sponsorship Offered: No Linkedin Recruiter Tag: #LI-JR1 #LI-ASSOCIATE #LI-HYBRID

Freight Brokering: 1 year (Preferred). Freight Broker Agent (Experience Required). If you do not have Freight Agent/Broker experience, please do not apply.

AI Architect Job Number: 26-00889 Find your next opportunity in the Financial Services Industry. ECLARO is looking for an AI Architect for our client in Remote, MA. ECLARO’s client’s provides retirement savings, health & investment management and insurance services. If you’re up to the challenge, then take a chance at this rewarding opportunity Position Overview: The AI Architect is responsible for designing, developing, and governing enterprise grade AI solutions that align with business strategy. This role blends deep technical expertise in artificial intelligence, machine learning, Data, and cloud architecture with strong product intuition, security awareness, and leadership. The AI Architect ensures that AI initiatives are scalable, ethical, secure, cost efficient, and integrated into the broader enterprise ecosystem. Responsibilities: AI Strategy & Solution Architecture: Define and evolve the enterprise AI architecture, ensuring alignment with business, data, and technology strategies. Design scalable, secure, and compliant automation solutions to streamline across the enterprise Architect end to end AI solutions including data engineering, RAG model development, model operations (MLOps), and lifecycle management. Partner with business, product, and engineering teams to translate business problems into appropriate AI / ML approaches. Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Technical Leadership: Provide architectural oversight across AI / ML projects to ensure consistency, performance, and maintainability. Evaluate and select AI technologies, frameworks, cloud services, vector databases, LLM orchestration frameworks, and tooling. Support development teams on model selection, training pipelines, prompt engineering, fine tuning, RAG (Retrieval-Augmented Generation), and evaluation methodologies. Mentor engineers, analysts, and product teams on AI best practices. Data, Integration & Platforms: Partner with data architects and engineering to ensure robust data pipelines, governance, feature stores, and architecture. Design secure and performance integration between AI models and enterprise systems (APIs, microservices, events). Governance & Compliance: Ensure AI solutions adhere to enterprise security standards, data privacy policies, and regulatory requirements. Implement responsible AI guardrails, fairness checks, explainability frameworks, and monitoring. Develop and maintain automation governance frameworks, documentation, and audit trails. Operations & Optimization: Define MLOps / LLMOps standards including CI / CD pipelines, model monitoring, drift detection, observability, and rollback processes. Drive continuous improvement of model performance, cost optimization, and operational efficiency. Establish KPIs, telemetry, and feedback loops for production AI systems. Collaboration & Enablement: Partner with IT, compliance, operations, and customer service teams to align automation initiatives with business goals. Mentor and guide developers and analysts to build a center of excellence (CoE) for automation. Required Qualifications: 5 years of experience in application development, engineering, or solution delivery roles. 1 years of hands-on experience in AI / ML engineering, data science, or AI solution architecture. Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure AI Foundry, Copilot Studio / Agent Builder, or comparable generative AI ecosystems). Deep expertise in cloud platforms, particularly Microsoft Azure, and modern architectural patterns (microservices, event-driven architectures, API-first design). Proficiency in one or more of the following: Python, Azure Machine Learning, or related AI / ML tooling. Experience with MLOps / LLMOps ecosystems, including tools such as MLflow, Kubernetes, LangChain, vector databases, and feature stores. Strong hands on experience with ML frameworks, LLM platforms - OpenAI, MSFT / Azure Cloud foundry, Copilot Studio Agent builder, low code / no code platforms, and generative AI tools. Background in RAG systems, model fine tuning, embeddings, vector storage, and retrieval optimization. Preferred Skills: Experience enterprise-wide AI programs or platform buildouts. Strong understanding of data governance, privacy, security, and model risk management. Prior experience with large-scale transformation programs. If hired, you will enjoy the following ECLARO Benefits: 401k Retirement Savings Plan administered by Merrill Lynch Commuter Check Pretax Commuter Benefits Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Melissa Francisco Melissa.Francisco@eclaro.com 646-849-5125 Melissa Francisco | LinkedIn Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.

About LawnStarter LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We operate across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform, and we've been profitable for two years running. We're expanding beyond lawn care to become the one-stop shop for all home services. About Product at LawnStarter Home services is a massive, broken market. For homeowners, getting reliable, fairly priced service is a hassle of phone tag, no-shows, and surprise quotes. For the Pros who do the work, running a business means chasing customers, dead time between jobs, and unpaid admin. LawnStarter is the marketplace that fixes both sides. We proved the model with lawn care — it works at scale, profitably, across millions of jobs. In the last year we extended it to a second service: pool cleaning, now live in select markets. Getting there meant building the first version of a product that can onboard customers and Pros, match the two sides, get the job done, and handle the exceptions when it doesn't go to plan. The Role This is LawnStarter's first Director of Product Management — the leader between the VP of Product and a team of three PMs (and the hires that follow). The mandate is simple to state and hard to do: ship value across growth, retention, and profitability by building a great product for customers and Pros. Concretely, that means taking us from one profitable-at-scale vertical to two, setting the path from two to n, while still aggressively improving our core lawn service. What Makes This Role Different You build the layer, not inherit it. This is a brand-new layer between the VP and the PMs. You define how the team works, the bar for the craft, and the operating model — you're not slotting into someone else's machine. It's a marketplace, so the obvious answer is usually wrong. Change a price and you move conversion, Pro claim rates, margin, and retention all at once. Almost every decision has second-order effects across customers, Pros, and the business. You think in systems, not features. You multiply a strong team — this isn't a turnaround. The PMs are already good. The job is to get extraordinary outcomes from extraordinary people while still doing the hardest work yourself. Player-coach, not figurehead. Strategic bets and patient optimization, both. You'll open new verticals and compound a few points of conversion at a time — and know which the moment calls for. What You'll Own The PM team: Lead, coach, and multiply three already-strong PMs — and hire more as we grow. Prioritization: Own the growth/retention/profitability tradeoffs on one shared roadmap — what gets built, what waits, what we kill. Multi-service strategy: Turn one proven vertical into a repeatable playbook across services, designing for customers and Pros as one system. Agent-native direction: Own how AI and agents show up in what we build — for our team, our customers, and our Pros. Cross-functional partnership: Be the product leader the rest of the company trusts to make the right calls. Problems to Solve Abstracting one product into a multi-service platform. Every service has different economics, quality signals, and Pro workflows. How do we judge Pro quality when services are nothing alike? Price any service by location and job complexity? Guarantee quality on every job, not just lawns? You'll decide what generalizes and what stays service-specific, then sequence the build to a second profitable vertical — a platform that absorbs that variation instead of forking under it. Prioritizing across three goals with one capacity. Growth, retention, and profitability all want the roadmap, and engineering capacity is finite — a win on one can cost you on another. You'll own the sequencing and tradeoffs, and say no clearly and often, with reasons people respect. Building for the agent era. We believe products must now be built to use agents (to move faster and serve customers and Pros better) and to serve agents (so the platform works when the buyer or the worker is an AI). Almost no one has a playbook for this — you'll help write ours. What Success Looks Like (Year 1) The team ships at a higher ceiling: The same strong PMs are visibly doing their best work — better outcomes, sharper scoping, faster shipping. Wins in all three goals: Measurable progress on growth, retention, and profitability — not one at the expense of the others. Second vertical on track: Pool cleaning progressing toward profitable-at-scale, with a repeatable playbook for the verticals after it taking shape. A stronger brand through quality: Measurable improvement in the quality of our core service, and a clear plan with the growth team to win AI-driven channels. An agent-native vision: A clear roadmap for winning in an agent-driven world, with the first bets already underway. Requirements Who You Are AI-native and agent-curious. You use AI every day and push the team to do the same. You believe agents are the next platform shift, and you're energized by the open question of what an agent-driven world means for LawnStarter — a genuine thought partner on it, not someone who shows up with all the answers. This is unlikely to be a good fit if you treat AI as a productivity hack. A player-coach who multiplies talent. You get extraordinary outcomes from already-strong people — coaching, raising the bar, unblocking — and you still do the hardest work yourself when it counts. You know the difference between leading and controlling. This is unlikely to be a good fit if you need to "fix" a broken team to feel useful, or if you've moved fully into management and don't want to touch the product directly. A systems thinker. You see inputs, rules, feedback loops, and second-order effects, and you hold the customer side and the Pro side in your head as one connected machine. This is unlikely to be a good fit if you think in isolated features and miss how a change ripples through the rest of the system. A brutal prioritizer. You say no well — you sequence ruthlessly, kill good-but-not-now work, and protect the team's focus. This is unlikely to be a good fit if you avoid the hard conversations prioritization requires. A great cross-functional partner. You earn the trust of designers, engineers, data, finance, and ops by speaking their language and making decisions they respect. This is unlikely to be a good fit if you treat other functions as service providers rather than partners. Obsessive about scoping and user experience. You cut scope to the essential and sweat how the product actually feels to use. This is unlikely to be a good fit if you ship the first version that technically works without caring whether it's genuinely good. This Role Is NOT A pure people-management role. You lead a team and stay in the work — the hardest problems are yours to help solve, not just to assign. If you don't want to touch a spec again, this isn't it. A solo-IC role. You lead and grow a team. If you want to own a domain alone with no reports, look at our Senior PM roles instead. A turnaround. The team is already strong. If you're energized by fixing broken teams, this won't scratch that itch. A fit for an AI skeptic. We believe the agent shift is real and urgent. If you're not convinced, you'll be fighting the company's direction. A role with a finished playbook. Multi-service and agent-native product are things we're figuring out as we go. If you need established processes and proven paths, this will be frustrating. Benefits Equity: A significant leadership equity package. You'll have high impact on our growth, retention, and profitability. We want you invested in that outcome. Base salary: 200k - 230k Healthcare: Medical, dental, and vision. Fully remote: Work from anywhere in the US. Leading a distributed team and doing deep product work both require focus and trust — we give you both. Flexible PTO: We focus on results. Take what you need. LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

Account Executive—Travel & Tourism Remote-based position - ideally located in Southern California Job Description Act as a Strategic Advertising Consultant for Travel & Tourism Clients, backed by a Leading-Edge Digital Media Organization. If you are a driven sales pro with a passion for travel, this is an opportunity to join a company on the leading edge of digital media. While experience in travel & tourism is a plus, if you have solid digital advertising sales skills, this could be your chance to work in a fun, upbeat industry. Clients in this space, such as Destination Marketing Organizations (DMO’s), Conventions & Visitors Bureaus (CVB's), attractions, and other tourism-focused businesses will rely on you to be the expert consultant and help them achieve their business and marketing goals. You will leverage your critical thinking skills and creativity to develop innovative solutions, backed by the resources of Our Client. You will join a team of top talent, sharing ideas and exploring the latest trends with other "A" players like yourself. We'll reward you with a generous compensation plan, excellent benefits, professional development opportunities, and more. Our Client specializes in the development of campaigns that align with traveler intent along a path to purchase and booking. We utilize an integrated mix of marketing solutions, including content marketing, digital media, search, video, email, social media marketing and more, designed to reach the consumer every step of the way. This position will focus on new business development and account management. You will be expected to build your sales funnel and work to close business at a high velocity. You will oversee all aspects of selling and managing your accounts including outreach, pitching, building campaigns, collecting and uploading creative, reporting and more. Compensation for this position is comprised of a base salary plus incentive compensation. The base salary range is $55,000 to $70,000 per year. Additional incentives bring total potential compensation to $100,000 to $115,000. We want to emphasize that this is not a travel agent position. Instead, they’re seeking a motivated, result-driven sales professional. To excel as an Account Executive in Travel & Tourism, you should bring: Strong self-motivation and the ability to achieve goals independently Exceptional relationship-building skills Excellent written and verbal communication and presentation abilities, including active listening skills A strong team-player approach Solid organizational skills, including the ability to multi-task, handle pressure and work under deadlines Your territory will be Southern CA. You need to be willing and able to spend up to 35% of your time out in the field, with some overnight travel. We reimburse for travel expenses and mileage on a weekly basis. You will work from your home office, and you'll need to be based within the territory. "We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law."

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we’ve grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! At Credit Acceptance, cloud computing continues to allow us to modernize and consolidate IT infrastructure, automate workloads, and pursue next-generation innovation. To continue this transformation, we’re seeking an experienced Senior Staff Cloud Engineer with expertise in the strategy, design, development, and implementation of large-scale projects in the cloud. The ideal candidate is experienced in cloud-based tech, with a firm grasp of emerging technologies, platforms, and applications, and ability to customize them to help our business become more secure and efficient. Extensive knowledge of cloud maintenance and advanced industry knowledge is key to keeping us on the cutting edge. From day one, you’ll have an immediate impact on the day-to-day efficiency of our IT infrastructure and an ongoing impact on our overall growth. The Senior Staff Cloud Engineer owns the cloud and is responsible for architecture, administration, maintenance and availability of all cloud infrastructure and supporting tools. Additionally, Senior Staff Cloud Engineer demonstrates and encourages a culture of automation, orchestration and efficiency. The position is key to driving cloud strategy that is consistent with the department and business goals. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Provide thought leadership and build cloud solutions that deliver high impact business value and deliver customer delight Lead the design and implementation of cloud solutions that are scalable, reliable, and maintainable Collaborate with a diverse cross functional team including business partners, Product Managers and designers to define product requirements, direction and clarity Drive technical innovation and improvements of the design and architecture of cloud systems towards leading edge technologies and practices at the organization level Define, develop and drive cloud engineering best practices Become an expert in the business process domain to better support the business and align technologies with the business outcomes Develops cross-disciplinary knowledge and an understanding of the market context to drive organization-level solutions Work with the engineering leadership team to develop and execute on the company’s technical and business strategy Conduct impact analysis to proactively identify impact of a change across multiple applications/systems Perform technical due diligence and architectural assessments of third-party technologies and solutions. Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions Document standards, best practices, and engineering artifacts so others can easily understand, build and maintain best in class Cloud systems Debug the critical problems which arise in production and execute effective solutions Anticipate customer needs and industry shifts to improve design and overall engineering practices Participate in talent selection and mentoring team members Develop standard architectural practices and lead solutions development across partner engineering groups Define and document best practices and strategies regarding cloud deployments and maintenance Ensure application performance, uptime, and scale, maintaining high standards of quality and thoughtful design Conduct routine environment audits of cloud accounts for compliance with established standards, policies, configuration guidelines and procedures Maintain a comprehensive cloud library of all supporting documentation Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner’s Mindset: Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: Minimum of 10 years of experience designing scalable Cloud/Hybrid environments with a strong background in AWS and Azure Experience developing and managing Infrastructure as Code, leveraging tools such as Terraform, Ansible, GitHub, etc. Experience in the lead role overseeing technical direction for multiple Cloud/Platform/Development/DevOps/SRE teams Extensive experience with building and driving adoption of Cloud engineering best practices Experience driving impact on mission-critical enterprise class applications having organization-wide impact Hands-on experience with LLM integration patterns and at least one LLM gateway or proxy product (LiteLLM, Portkey, AWS Bedrock Gateway, or equivalent), including model routing, rate limiting, and token usage attribution in a multi-tenant cloud environment Preferred: Experience in a hybrid Cloud/Data Center environment supporting various multi-tier and microservice applications Experience with SaaS, PaaS, and IaaS deployments in the Cloud Experience developing and maintaining performance metrics and graphs Experience with other clouds like Oracle and Google Experience with backup and data protection technologies Experience with patching tools Experience with virtualization environments Experience with observability and alerting tools like PagerDuty Ability to use Excel or similar tool(s) to provide value from various data sources Experience working with monitoring/trending software such as CloudWatch, ELK, Splunk, etc Expert knowledge of DevOps processes Experience with agentic orchestration frameworks such as LangGraph or LangChain, and familiarity with the Model Context Protocol (MCP) for building or securing agent tool interfaces Experience with policy-as-code frameworks (OPA, Cedar, or equivalent) in production cloud environments, particularly for access control and automated compliance enforcement Knowledge and Skills: Expert knowledge of cloud best practices with experience building complex software engineering products Strong understanding of distributed systems, cloud computing, and microservices architectures Demonstrated ability to coach business partners, cross functional team members, and mentor senior-level members Proven track record driving continuous improvements with cloud technology Proven ability to drive automation and build self service capabilities for Software Engineers Development of automation scripts in various automation, orchestration, scripting, or programming languages Ability to right-size cloud infrastructure with cost, and performance in mind Target Compensation: A competitive base salary range from $161,000 – $237,000. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. #zip #LI-Remote Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We’re proud of our culture and are happy to share why – let’s talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic. California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you. Play the video below to learn more about our Company culture.

Hi I hope you are doing well. We have an urgent position listed below. Please send your most recent resume along with the expected rate if you are interested. Note: Green BGV and e-verification is mandatory Position:1 Job Role: Service Now Developer Location : USA Remote Visa: USC/GC-only with DL Job Description : CAD certification is mandatory – Active Key Responsibilities • Gather and analyze business requirements and translate them into technical solutions on the ServiceNow platform • Design and develop custom applications, custom rules, and platform customizations • Configure and develop Business Rules, Client Scripts, UI Policies, Script Includes, and ACLs • Build and manage workflows using Flow Designer, including Flow Actions and Subflows • Develop and support integrations using REST/SOAP APIs, MID Server, and IntegrationHub • Work on new module implementations and enhancements (ITSM and other ServiceNow modules as required) • Ensure adherence to ServiceNow best practices, coding standards, and platform performance guidelines • Support testing, deployment, and post-production stabilization • Collaborate closely with architects, functional consultants, and stakeholders ----------------------------------------------------- Required Skills & Experience • Strong hands-on experience as a ServiceNow Developer • Solid experience in ServiceNow scripting (JavaScript, Glide API) • Proven experience with Business Rules, customizations, and custom development • Strong expertise in Flow Designer, Flow Actions, and automation • Experience working on integrations (REST, SOAP, IntegrationHub) • Experience implementing or enhancing ServiceNow modules (ITSM preferred) • Good understanding of ServiceNow data model, security, and performance considerations Position:2 Job Role: Service Now Developer Location : USA Remote Visa: USC/GC with DL Job Description : CMDB: Experience in Service now CMDB/AMDB processes. Experience in CMDB/AMDB data Model and configuration. Experience in CMDB assessment and data cleanup activity. Experience in Service catalog development Knowledge of CMDB Normalization, Identification and Reconciliation jobs. Experience in Service now customization. Integration experience using SOAP/Restful API. At least 2 years of experience in CSDM led CMDB implementation using Service Now platform. Experience in designing, development, and implementation of automated processes for gathering, populating, and maintaining CMDB data Experience in building CMDB health Dashboard and custom reporting Good written and communication skills. ITIL Foundation Level Certification. Position:3 Job Role: Service Now Developer - AIOps Location : USA Remote Visa: USC/GC with DL Job Description : · Implement and configure ServiceNow AIOps, including: o Event Management o Health Log Analytics (HLA) o Agent client collector implementation and Metric Intelligence (MI) o Machine Learning–based anomaly detection · Integrate monitoring tools (using OOTB Connector, REST API, SNMP trap etc) into ServiceNow. · Design AIOps architecture, data flows, dashboards, and service health models. · Configure alert rules, correlation logic, noise reduction policies, and service impact models. · Develop automation workflows using Flow Designer, IntegrationHub, and orchestration. · Design ServiceNow Orchestration workflows and automation packs, and build automated remediation for common incidents · Collaborate with Cloud, DevOps, and ITSM teams to deliver end‑to‑end solutions. · Conduct client workshops, requirement analysis, documentation, testing, and knowledge transfer. · Proficiency in ServiceNow scripting (JavaScript); working knowledge of Python/Shell/PowerShell. · Solid knowledge of cloud platforms (AWS/Azure/GCP) and ITIL processes. · Strong analytical and problem‑solving skills. · Excellent communication and client‑facing abilities. · ServiceNow certifications (CSA, CIS‑ITOM, CIS‑Discovery, CIS‑Event Management) are good to have. -- Thanks & Regards Ritik Sahu || Raas Infotek

Your potential has a place here with TTEC’s award-winning employment experience. As a Licensed Property & Casualty Insurance Agent working remotely, you’ll be a part of bringing humanity to business. #experienceTTEC Our employees have spoken. Our purpose, team, and company culture are amazing and our Great Place to Work® certification in the United States says it all! Our TTEC Remote CX team has 36 preferred residency states. We are currently not hiring from the following geographies: AK, CA, HI, MT, or outside of the United States. Residents of Colorado, Illinois, Massachusetts, Minnesota, New Jersey, New York, Oregon, Washington, and Washington, D.C. will be considered only based on special business need. What You’ll be Doing Do you have a passion for helping others and giving them peace of mind? You’ll have ownership over resolving escalated or complex calls from customers. Whether it’s getting answers for customers quickly, consulting on products with compassion or resolving their issues with a smile, you’ll be the difference between their customer experience being just average or an exceptional one. During a Typical Day, You’ll Answer incoming communications from customers Conduct research to provide answers for customers to resolve their issues Some upselling of products or services to existing customers may be required What You Bring to the Role Active Property and Casualty License 6 months or more of customer service experience Recognize, apply, and clearly explain your product or service knowledge while maintaining integrity in protecting members’ privacy (just as you would expect if it were your own information being shared) Computer experience High speed internet (> 25 mbps) While we recommend a USB wired headset, if you have a headset already, you may be able to use that (except for Bluetooth headsets) Smart phone or another device that runs IOS or Android (iPad etc.) for your daily log-in What You Can Expect Continuing education paid for by TTEC Supportive of your career and professional development An inclusive culture and community minded organization where giving back is encouraged A global team of curious lifelong learners guided by our company values Base pay of $20.50 per hour plus performance bonus opportunities And we have a healthy benefits package based on your position that could include PTO, tuition reimbursement, health and wellness incentives. Visit https://www.ttecjobs.com/en/us-employee-benefits for more information. A Bit More About Your Role We’re committed to helping you build the skills and confidence to succeed, from day one and throughout your career. Your training experience includes engaging, instructor‑led online sessions that use both webcam video and audio, so you can connect visually with trainers, leaders, and fellow teammates. Webcam participation is expected during all instructor‑led TTEC and client‑required training, either throughout the session or at designated times, and is encouraged during coaching sessions to support meaningful connection and collaboration. Along the way, you’ll also have access to individualized coaching and thousands of free courses to support your growth. And while skills can be learned, your caring, supportive nature is what truly sets you apart. At TTEC, you’re part of one dynamic, global family that’s here to support you every step of the way. You'll report to Team Lead. We are regularly hiring for this role. You'll contribute to the success of the customer experience and the overall success of the team. About TTEC TTEC is a global consulting, technology, and managed services company that helps brands deliver smarter, more human customer experiences through data, AI, and technology. Our work connects people and brands every day—and it starts with the talent behind the experience. TTEC is proud to be an equal opportunity employer where 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. TTEC embraces and is committed to building a diverse and inclusive workforce that respects and empowers the cultures and perspectives within our global teams. We aim to reflect the communities we serve, by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued, belonging, and comfortable being their authentic selves at work. As a global company, we know diversity is our strength because it enables us to view things from different vantage points and for you to bring value to the table in your own unique way. #LI-Remote

Role :- Contact Center Architect Remote Job Type: C2C/W2/1099 This is Contract to Hire role so need only visa independent candidates As per the latest requirement update, we are specifically looking for candidates who are either former Amazon employees or were recently laid off from Amazon. Please prioritize and share suitable profiles accordingly. Role Summary We are seeking a hands-on, business-savvy Contact Center Architect to own the end-to-end design of our healthcare contact center on Amazon Connect, spanning member, provider, and self-service experiences. This is not a back-room engineering role. The person we are looking for is the connective tissue between the business and IT — a trusted advisor who can sit with operations, product, compliance, and member-experience leaders, understand what they are truly trying to achieve, and translate that into a resilient, secure, measurable technical architecture that the development teams can build with confidence. The ideal candidate is a genuine “jack of all trades”: equally comfortable whiteboarding a contact flow with a business sponsor, debating IAM and PHI handling with seacurity, and pairing with developers on a Lambda integration. Above all, they earn trust quickly on both sides of the house — the business believes this person understands their world, and IT believes this person understands theirs. What You Will Own Business Partnership & Discovery (the bridge role) Drive the conversation with the business — lead working sessions with operations, member/provider experience, product, and compliance stakeholders to surface goals, pain points, and the “why” behind every requirement. Bridge business and IT — translate business intent into clear technical requirements for development teams, and translate technical constraints and trade-offs back into language the business can act on. Earn and keep trust — act as the single, credible point of contact who both sides rely on; embrace the customer's perspective and represent it faithfully throughout delivery. Facilitate decisions — run design reviews, build consensus across competing priorities, and keep initiatives moving without losing either business value or technical integrity. Contact Center Architecture (Amazon Connect) Own the end-to-end architecture of the Amazon Connect contact center across member, provider, and self-service journeys. Design IVR / IVA and contact flows, routing strategies, queueing, and omnichannel (voice, chat, callback) experiences optimized for self-service and containment. Architect caller authentication and identity flows — including data-driven verification, integration with member/provider systems of record, and secure handling of PHI/PII. Design conversational self-service using Amazon Lex, Polly, and Transcribe, with a clear strategy for deflection, containment, and graceful escalation to agents. Drive modernization from legacy contact center platforms (e.g., Avaya, Genesys) where applicable. Development & Integration Oversee integration with healthcare enterprise systems — core administrative/claims platforms, member and provider data, CRM (Salesforce, ServiceNow), and third-party identity or eligibility services. Architect serverless, event-driven solutions using AWS Lambda, API Gateway, DynamoDB, S3, and Kinesis. Partner hands-on with developers — set design standards, review implementations, and unblock the team rather than throwing designs over the wall. Security, Compliance & Governance (Healthcare) Design for HIPAA and PHI/PII protection — define IAM, encryption (in transit and at rest), least-privilege access, and audit/logging controls appropriate to a regulated healthcare environment. Ensure compliance with organizational and regulatory standards; conduct design reviews and risk assessments. Operations & Optimization Establish monitoring, logging, and alerting (e.g., CloudWatch) and define the KPIs that matter — authentication rate, self-service / containment rate, average handle time, and deflection. Lead root-cause analysis and continuous improvement; turn contact center analytics into prioritized action. Apply Infrastructure as Code (CloudFormation / Terraform) and CI/CD practices for repeatable, reliable deployments. Required Experience & Skills Experience 10+ years of overall IT experience, with a track record of delivering customer-facing solutions. 4–6+ years in AWS cloud / solution architecture. 3+ years hands-on with Amazon Connect in production environments. Healthcare contact center experience is required — direct exposure to member, provider, and self-service journeys (payer, provider, PBM, or health-services setting). Demonstrated experience improving authentication, self-service, and/or containment metrics in a contact center. Technical Skills Amazon Connect ecosystem: Connect, Lex, Polly, Transcribe, Contact Lens. AWS services: Lambda, API Gateway, DynamoDB, S3, Kinesis, Redshift, Athena. IVR/IVA design, telephony, and CTI integration. Caller authentication / identity verification patterns and secure PHI/PII handling. CRM and enterprise integration (Salesforce, ServiceNow, and healthcare core systems). Infrastructure as Code (CloudFormation / Terraform), CloudWatch, and CI/CD. Communication & Leadership (critical to this role) Communication is as important as technical depth for this position. This person spends as much time in front of business stakeholders as in architecture diagrams, and will be evaluated on their ability to build trust and alignment across very different audiences. Exceptional verbal and written communication — able to explain complex technical concepts simply to non-technical stakeholders, and to capture business needs precisely for technical teams. Strong facilitation, stakeholder management, and consensus-building skills. Credibility and presence to be trusted by both business leaders and engineering teams. Analytical, problem-solving mindset with a bias toward measurable outcomes. Leadership and mentoring capability for development teams. Preferred Qualifications AWS Certified Solutions Architect (Associate or Professional). Experience with conversational AI / chatbot and virtual-agent design. Familiarity with healthcare data and interoperability standards (e.g., HIPAA, HL7/FHIR) and eligibility/benefits flows. Experience with analytics and reporting tools such as QuickSight and Contact Lens for contact center performance.

Vice President of Technology At Percepta, we bring first-class service across each market we support. As Vice President of Technology in the United States (fully remote), you’ll be a part of creating and delivering amazing customer experiences, while also enjoying the satisfaction of being part of a unique culture What You’ll Be Doing This is a rare opportunity to join Percepta's Executive Leadership Team as Vice President of Technology at a defining moment in the company's evolution. Automotive CX is being reshaped by electric vehicles, connected mobility, AI-driven service delivery, and the rising demand for frictionless omnichannel experiences — and Percepta intends to lead that transformation for its clients. The VP of Technology will architect a fully business-aligned technology strategy — ensuring that every platform, tool, and capability deployed directly enables exceptional client outcomes, operational scale, and long-term competitive differentiation. This is not a purely technical role. It is a business leadership role that requires deep technology fluency. During a Typical Day, You’ll Technology & Business Strategy Own and evolve a technology roadmap fully aligned to Percepta's business strategy, client SLAs, and growth targets Serve as a strategic partner to Operations, Client Services, HR, and Finance — ensuring technology investments deliver measurable business outcomes Lead digital transformation across contact center operations, including automation, AI, self-service, and advanced analytics Translate complex client requirements into scalable, cost-effective, and repeatable technology solutions Contact Center & CX Technology Lead deployment and optimization of contact center platforms: ACD, IVR, WFM, CRM, and omnichannel tools Enable seamless omnichannel engagement across voice, chat, email, social, and emerging messaging channels Champion AI-driven capabilities include chatbots, agent assist, speech analytics, and robotic process automation (RPA) Partner with Operations to measurably improve agent productivity, quality, and customer satisfaction Technology Delivery & Global Operations Lead deployment and optimization of contact center platforms: ACD, IVR, WFM, CRM, and omnichannel tools Enable seamless omnichannel engagement across voice, chat, email, social, and emerging messaging channels Champion AI-driven capabilities include chatbots, agent assist, speech analytics, and robotic process automation (RPA) Partner with Operations to measurably improve agent productivity, quality, and customer satisfaction Client Partnership & Revenue Enablement Lead deployment and optimization of contact center platforms: ACD, IVR, WFM, CRM, and omnichannel tools Enable seamless omnichannel engagement across voice, chat, email, social, and emerging messaging channels Champion AI-driven capabilities include chatbots, agent assist, speech analytics, and robotic process automation (RPA) Partner with Operations to measurably improve agent productivity, quality, and customer satisfaction Information Security & Compliance Lead enterprise cybersecurity strategy across distributed, global operations Ensure compliance with client-specific security requirements including PCI-DSS, GDPR, and applicable frameworks Maintain robust disaster recovery and business continuity capabilities for all contact center environments Financial & Commercial Stewardship Own technology P&L input, budgeting, and cost optimization with a clear lens on client profitability and margin contribution Manage a complex vendor ecosystem spanning telecom, cloud, CX platforms, and outsourced technology partners Align all technology investments with measurable commercial outcomes and long-term enterprise value People Leadership & Culture Build, develop, and inspire high-performing, globally distributed technology teams Foster a culture of innovation, psychological safety, agility, and operational excellence Invest in the growth of your people as a genuine leadership priority — not an afterthought Model Percepta's values in every interaction: with your team, your peers, and your clients What You Bring to the Role · Bachelor's degree in Information Technology, Computer Science, or related field required · Master's degree (MBA or technical) preferred — equivalent experience considered · 12+ years of progressive technology leadership, with significant experience in a VP or equivalent executive role · Deep experience in digital transformation, cloud technologies, and enterprise platform modernization · Experience in a BPO, CX, services, or managed services environment with a clear understanding of how technology enables operational performance · Experience operating in a joint-venture or multi-stakeholder organizational structure preferred · Exposure to automotive, mobility, or adjacent industries preferred · Proven success leading globally distributed technology teams in a complex, multi-client environment · Strong background in contact center or CX technology: ACD, WFM, IVR, CRM, omnichannel, AI/ML · Demonstrated ability to align technology strategy to business strategy, client outcomes, and financial performance · Track record of leading through influence, building collaborative relationships, and developing technology talent · Exposure to automotive, mobility, or adjacent industries preferred · Familiarity with emerging mobility technology: EV platforms, telematics, connected vehicle applications is preferred What You Can Expect · Competitive Salary with Incentives · Health/Dental/Vision/Life Insurance · Flexible Spending Account (FSA) and Health Savings Account (HSA) · 401(k) · Vacation/Sick Time and Paid Holidays · Tuition Reimbursement · Employee Assistance Program · Employee Discount Program · Training and Development Programs (Percepta College) · Employee Rewards Program (Perci Perks) A Bit More About Your Role Percepta provides the equipment for this role. About Percepta Established in 2000 as a joint venture with TTEC, Percepta has specialized in creating customer loyalty to its clients across the globe. Delivered in multiple channels, speaking multiple languages, we bring first-class service across each market we support. Our values are the heartbeat of our organization, and we live, breathe, and play by them daily. At Percepta, we: Lead with humility – We listen first, lead with empathy, and stay grounded—so people and ideas have room to grow. Service beyond self – We serve others—clients, customers, and teammates—with care and integrity in every interaction. Leave it better – We take ownership and leave every process, person, and place better than we found it. Win together – We succeed as one—celebrating, supporting, and showing up for each other. Deliver remarkable – We go beyond expectations to create bold, meaningful moments that stand out. Percepta is proud to be an equal opportunity employer where 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. Percepta embraces and is committed to building a diverse and inclusive workforce that respects and empowers the culture and perspectives within our global teams. We strive to reflect the communities we serve by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued and comfortable being their authentic selves at work. As a global company, we know diversity is our strength. It enables us to view projects and ideas from different vantage points and allows every individual to bring value to the table in their unique way. #LI-remote Percepta requires all employees hired in the United States to successfully pass a background check and depending on location and client program a drug test, as a condition of employment. Percepta is an Equal Opportunity Employer.

Job Description Advance your career with Mindlance! We have been connecting talented IT professionals with world-class companies since 1999. Mindlance is here to help you to find the perfect fit with just the right company. Currently, we are seeking a Sr Data Engineer- Agentic AI for an exciting career growth opportunity. Make your next big career move with the kind of position that will allow you to be genuinely passionate about the work you do! Our recruiters will work closely with you to help you get the edge over the competition. Let Mindlance advocate for you – apply today! “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.” Job Title: Sr Data Engineer- Agentic AI Job Category: Information Technology Industry: Medical Device Industry Job Location: FULLY REMOTE (all over US) Zip Code: 95014 Top 3/5 Skills: · Agentic AI depth, Orchestration, LangGraph, CAPA · Claude/Anthropic: Claude production expertise · MCP Server, Predictive ML/statistical analytics · Medical device industry experience- 5-7yrs Min & Max Pay Rate: $75.00 /hr. – $82.00/hr. Job Responsibilities Title: Sr Data Engineer- Agentic AI Location: San Diego, CA 92121 (Remote Role) Duration: 06- Months contract with possible extension Client Domain: Medical device industry Job description: Responsible to support the AI-powered data analytics platform. This individual will contribute to advance data engineering pipelines, AI agent development, and cross-functional quality analytics across different areas of the business such as quality, product engineering, reliability, field service and business strategy. Agentic AI for Manufacturing Intelligence Deep expertise designing and deploying agentic AI systems using agentic frameworks and orchestrators to reason across manufacturing, quality, and post‑market data, execute multi‑step analysis, self‑correct, and drive decisions with limited human intervention. Production LLM Expertise (Claude‑Based) Production‑grade experience using Claude LLMs within orchestrated agent workflows, including prompt management, tool calling, structured outputs, guardrails, and audit‑ready logging. Unstructured → Structured Manufacturing Data Transformation Strong expertise building AI‑driven data pipelines that transform unstructured medical device data (complaints, CAPAs, investigations, service notes, SOPs, PDFs, emails) into structured, analytics‑ and review‑ready datasets. AI‑Driven Quality & Failure Data Extraction Experience developing orchestrated AI pipelines for entity extraction, event classification, failure mode standardization, trend tagging, risk categorization, and summarization aligned to quality and manufacturing taxonomies. Core ML & Statistical Analysis for Manufacturing Solid foundation in predictive modeling, clustering, time‑series analysis, anomaly detection, and statistical methods applied to manufacturing processes, defects, equipment signals, and failure trends. Manufacturing Data Platforms & Engineering Advanced proficiency with Databricks, Spark, SQL, Delta Lake, and Python to ingest, structure, and analyze large‑scale manufacturing, quality, and post‑market data, supporting downstream analytics and AI systems. Quality, CAPA & Root Cause Analytics Demonstrated ability to correlate complaints, NCRs, CAPAs, and service data with upstream manufacturing signals using data‑driven root cause and investigation approaches. Enterprise & Regulated Systems (SAP‑Centric) Hands‑on experience integrating and analyzing data from SAP Tahiti, Salesforce, TrackWise, and QMS platforms while maintaining traceability, data integrity, and compliance in regulated environments.

Salesforce Lead/Architect Must be available in CST or EST working hours Remote Role Pay rate range : $55/hr - $65/hr. W2 Strong Agentforce and Data Cloud experience is a Must to have Agentforce Certified Nice to have. Role Overview We are looking for a highly skilled Salesforce Lead with strong expertise in Salesforce platform development, AI-powered agentic systems, and solution prototyping. This role requires a combination of hands-on technical development and business consulting capabilities. The ideal candidate will work closely with stakeholders to understand business needs, design intelligent agent-driven solutions, and rapidly build prototypes demonstrating how AI agents can improve productivity and business outcomes. This position is ideal for someone who understands both the Salesforce ecosystem and emerging AI/agentic architectures, including Agentforce 2.0, MCP architecture concepts, and enterprise AI integrations. Key Responsibilities Business & Solution Consulting Partner with business stakeholders to understand functional requirements, pain points, and transformation opportunities. Translate business needs into scalable Salesforce and AI-enabled solutions. Lead discovery workshops and define solution approaches for agent-driven workflows and automation. Build rapid prototypes and proof-of-concepts demonstrating how AI agents can improve user productivity and customer experiences. Provide strategic recommendations on Salesforce platform capabilities and AI adoption. Salesforce Platform Leadership Design and develop scalable solutions on the Salesforce platform. Lead hands-on development across: Apex Lightning Web Components (LWC) Salesforce Flows Integrations and APIs Platform Events Drive architecture and technical design decisions for enterprise Salesforce implementations. Ensure best practices around performance, scalability, security, and maintainability. AI / Agentforce Responsibilities Design and implement Agentforce 2.0 solutions and intelligent agent experiences. Build agentic workflows leveraging Salesforce AI capabilities and external AI systems. Understand and apply MCP architecture concepts and modern AI orchestration patterns. Collaborate on AI-enabled use cases involving: Conversational agents Workflow automation Knowledge retrieval Productivity enhancement Autonomous task execution Evaluate and integrate AI technologies into Salesforce ecosystems. Technical Leadership Mentor developers and provide technical guidance across the Salesforce stack. Lead code reviews and enforce development standards. Collaborate with architects, product managers, and business teams. Drive innovation and continuous improvement initiatives. Epik Solutions is an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment. All employment decisions at Epik are based on business needs, job requirements and individual qualifications and merit, without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or any other status protected by applicable law or regulations. Epik participates in the E-Verify program.

Role: Forward Deployment Engineer Location: Remote Job Type: C2C/W2/1099 Primary Skills AWS, Python, and Claude (and related AI/agent stacks). Strong software engineering fundamentals with hands-on Python experience (APIs, microservices, automation). Strong hands-on experience building and deploying solutions on AWS.

Position: Project Management Technical – Decisioning Location: US- Remote Duration: 2+ year Contract Pay range: $53-$58/hour on W2 Job ID: 177311 Job Overview: Role Purpose: Become part of a team that is responsible for interpreting business requirements and translating them into Decisioning solutions. Intake Decisioning requirements from various business units and translate into decisioning logic used to present relevant and eligible offers to customers. Responsible for testing changes to decisioning logic/strategy and interfacing with various development teams regarding requirements and defect fixes. Role will require in-depth knowledge of Pega 23' or greater CDH Decisioning capabilities, business strategy, customers/agent experiences, products/offers, and IT systems. Will need to translate business ‘vision’ into thorough business requirements while managing project scope/deliverables end-to-end. Acts as the 'business stakeholder' on behalf of the stakeholders when working with IT. Key Responsibilities: Work closely with teammates to determine process improvements related to client’s Pega decisioning platform and governance process. Maintain process flow documentation for Pega decisioning logic changes from ideation to production through Share Point and project management systems like Asana. Consolidate information and present it to senior management in a clear and concise manner. Understand and effectively communicate business requirements of projects to Technology teams and be able to assess whether the technical delivery will meet the business requirements. Execute testing of decisioning system changes implemented by Tech Dev (UAT). Other Responsibilities: Translate Marketing offer strategy into decisioning logic based on customer attributes and customer intent. Develop and build decisioning logic to meet Marketing offer strategy requirements Document and maintain development standards for ongoing decisioning logic changes Create test cases for iterations of Marketing offers strategy via decisioning Execute and validate test cases (UAT and Regression), identify defects and investigate failures to help uncover appropriate solutions. Maintain and execute regression testing of the decisioning system to ensure consistent quality Create PowerPoint documentation to help explain project changes to the business Skills: In depth Understanding of Pega Decisioning In depth understanding of IT (Agile and Waterfall methodologies) Knows how write business requirements Oral and written communication skills Ability to influence Ability to manage, facility, and lead a project/team Knowledge of business structures/stakeholder analysis Self-Starter Organized Flexible/Adaptable Detailed oriented Team Player Required Qualifications and Education: Bachelor’s Degree in computer science, information systems, data science or other technical area and 5 plus years of Marketing Technology or related, relevant Technical experience. Experience or strong knowledge of Pega CDH. Strong problem-solving and analytical skills, including a qualitative and quantitative skill set. ·Familiar with marketing database, digital and orchestration technologies ex. Adobe, Pega, Unica. These technologies will be leveraged when executing marketing offer strategy via decisioning logic. Familiar with SQL, SAS, or similar data analysis language. Data analysis is required to validate decisioning logic transactions and identify trends or potential issues with the logic strategy. Familiar with programming languages and logic development ex. C, Java, PHP. Background in programming concepts and algorithms will be essential when translating the offer strategy into decisioning logic. Experience with Retail or Call Center CRM systems. Offers are presented in CRM systems such as Oracle, Salesforce, and Clarify. Knowledge of these systems is needed to confirm the decisioning logic is executing and presenting as expected. Proficient with reading and understanding XML transactions. XML transactions are leveraged to simulate the decisioning logic via API request with variable attributes. The subsequent XML responses are evaluated to confirm the logic is executing as expected and the correct offers are presented. Experience in Agile methodology. Experience in creating and documenting business requirements. Experience working with cross-functional teams within Marketing, Sales, Customer Care, Finance, IT, etc. Demonstrated ability to analyze complex issues and design appropriate solutions. Ability to manage heavy workload, accommodate change and adapt accordingly. Experience delivering results in a fast moving, challenging environment. Excellent communication skills, including ability to tailor communication to audience to achieve desired results. Proficiency in standard MS Office applications. Occasional travel required. (up to 5%) Additional Information: The environment is positive and provides the opportunity for team and individual contributions. Client is based out of west coast (El Segundo, CA). Typical hours are Monday to Friday 8.00 to 5.00 PST About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $53 - $58/hour on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com #LI-SP1

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we’ve grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! We are seeking a highly motivated and experienced Staff MLE within AI team. The ideal candidate will have a strong technical background in decision science, machine learning, and generative AI with a proven track record in solving business problems and implementing large-scale automated solutions in partnership with the respective engineering teams. In this role, you will partner with business and engineering stakeholders to formulate the vision to achieve the company’s strategic goals and co-lead the roadmap to deliver innovative solutions for dealers, consumers and team members. As a Staff, MLE at Credit Acceptance, you will play a pivotal role in the success of this mission as you would lead the development of AI-powered solutions across different business areas. This involves understanding the business processes, identifying new opportunities to add value using ML/AI algorithms and harnessing data sources to build state-of-the-art ML/AI solutions. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member. ML Outcomes: Explore and apply advanced machine learning techniques, including not limited to large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization. Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans. Drive execution and delivery of ML/AI solutions by managing priorities, deadlines, and deliverables, leveraging your technical expertise. Design and deliver scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices, and nurture the culture of creating high-quality, well-tested systems to address critical product and business needs. Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency. Ensure the security, scalability, and architectural integrity of feature designs through reviews across teams. Deliver hands-on solutions while mentoring other data professionals (including MLEs) within the organization Guide a team of MLEs across different areas: Mentoring: Mentor team members on design principles, coding standards, and the adoption of AI productivity tools. Recommendations – Personalize guidance across different surfaces using deep learning methods; personalize layouts with Bayesian contextual multi-armed bandits Growth: Foster long-term growth through data-driven causality and incrementality Gen-AI: Power existing applications with Gen AI models and engineering to improve downstream experience and decisions Lifecycle - Using ML models (such as XGBoost & Causal Meta-Learner-based model, etc), proactively guide business teams across different areas Engineering - With engineering partners, build ML and Gen-AI platform and inference pipelines for different types of models Gen AI Outcomes: Architect and implement enterprise-grade LLM-powered solutions, managing the full lifecycle from business requirements to production deployment, monitoring, and continuous optimization Design and develop multi-agent GenAI systems using state-of-the-art frameworks (LangChain, LlamaIndex) to orchestrate complex workflows across retrieval augmentation, data operations, and compliance verification Engineer robust Retrieval Augmented Generation (RAG) pipelines incorporating advanced techniques such as hybrid retrieval, reranking, query expansion, and contextual compression Implement parameter-efficient fine-tuning strategies (LoRA, QLoRA, PEFT) to adapt foundation models to domain-specific use cases while optimizing for inference costs and latency Develop intelligent routing and orchestration systems to manage conversation state across multiple specialized AI agents, ensuring seamless transitions between different system capabilities Build evaluation frameworks to measure and improve LLM performance across diverse metrics, including factuality, coherence, task completion, and alignment with business objectives Integrate LLM solutions with existing enterprise architecture, ensuring compliance with data security policies, authentication mechanisms, and transaction safety requirements Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner’s Mindset: Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Required: PhD in Computer Science, Stats, Economics, or a relevant technical field with at least 5+ years of relevant experience or MS with at least 8+ years of experience in machine learning and software engineering ML Skills: 6+ years of hands-on experience designing, building and deploying AI (ML, DL, Gen-AI) models, including Reinforcement Learning algorithms, Recommendation systems, Transformers, fine-tuned LLMs, Causal Inference, Regressions, etc., with a solid understanding of mathematics, statistics, and engineering needed to build such infra GenAI Skills: 4+ years of experience building and deploying AI/ML applications including Reinforcement algorithms, Recommendation systems, Generative AI etc. with solid understanding of mathematics, Computer Science, foundation concepts and engineering behind building AI applications and LLMs Experience applying agentic AI to design and implement scalable multi-agent systems Strong problem-solving skills with bias for action Preferred: ML Preference: Experience in the automotive industry, especially in building ML/AI systems while ensuring local and central regulations Experience in model interpretability and responsible AI practices. Expertise in data science, advanced experimentation and visualization techniques. Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray) Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints Experience with Databricks MLflow for ML lifecycle management and model versioning Hands-on experience with Databricks Model Serving for production ML deployments GenAI Preference: Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray) Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints Experience with Databricks MLflow for ML lifecycle management and model versioning Hands-on experience with Databricks Model Serving for production ML deployments Knowledge of multimodal AI (text, image, audio integration) Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies Knowledge and Skills: ML Requirements: Hands-on expertise in scaling and maintaining production-grade ML services, with a strong focus on ML/LLM Operations (versioning, automation, observability, automated training and monitoring, etc.) and ability to balance ML model complexity with production requirements Passion for identifying new business opportunities and experience of using a test and learn approach to bring scalable and efficient solutions integrating AI algorithms, ML/LLM Ops, and s/w engineering Experience partnering with the engineering, product, business operations, legal and other teams while designing, building, and executing solutions Gen AI Requirements Proficiency with model training/inference frameworks (PyTorch, TensorFlow, Hugging Face Transformers) Experience building conversational AI (Text, Voice) , content generation, or code generation systems Hands-on experience with building, fine-tuning and deploying multi-modal LLM Models and managing the end-to-end model lifecycle Experience partnering with engineering, product, BizOps and other data teams while designing, building and executing solutions Deep understanding in at least three of the following areas: data mining, advanced statistics, machine learning, deep learning (incl NLP) Target Compensation: A competitive base salary range from $153,759 – $225,514. This position is eligible for an annual variable bonus of cash and equity, between 10 - 20%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. INDENGLP #zip #LI-Remote Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We’re proud of our culture and are happy to share why – let’s talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic. California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you. Play the video below to learn more about our Company culture.

Job DescriptionMedicare Supplement Sales Agent W-2, Hourly + Residual Commission + Bonuses | In-Office Secaucus, NJ $20/hour base + $5 per member per month (residual) + bonuses We're a growing Medicare-focused agency hiring two closers who know how to sell to seniorsand want a W-2 seat with a base, real commission, and a book that pays you every month it stays on the books. You get a steady hourly base, leads, and a residual structure that rewards you for selling policies that stick. The cleaner your book, the bigger your monthly check. You'll thrive here if you: • Are life & health licensed (NJ; multi-state a plus) and AHIP-current or ready to get there. If you are not licensed we will help you get licensed., • Have sold Medicare Supplement, Medicare Advantage, or final expense and can speak to your numbers, • Know how to build trust with a 67-year-old in a 12-minute call, • Have a clean persistency/chargeback track record (we'll askand so should you), • Can reliably work in-office in Secaucus, NJ (this is not a remote role)What we offer:, • $20/hour W-2 base you get paid while you build your book, • $5 per member, per month residual commission recurring income that grows as your book grows, • Performance bonuses on top of base and commission, • Qualified leads provided we don't make you buy your own, • Carrier appointments across top Medicare Supplement lines, • A team that closes, not coastsThe math, plainly: Write 100 active members and that's $500/month in residual commission aloneevery month they stay on the bookson top of your hourly and bonuses. Build a book of 300+ and the residuals become the biggest part of your check. Hours are Monday- Thursday 11am to 7 pm, Fridays 9am to 5 pm To apply: Send your resume andthis mattersone line on your best production month and what you sold. Generic applications go to the bottom of the pile. Email agentservices@acmgsales.com

Company Description Radish is committed to making quality medical care more accessible, aiming to improve employee health and satisfaction while reducing overall healthcare costs. Through innovative solutions, we support healthier workplaces and foster well-being among employees. By prioritizing accessibility and affordability, Radish transforms the way healthcare services are delivered and experienced. Role Description Radish Health is looking for a Principal Engineer to join our growing engineering team. In this role, you'll be responsible for designing, developing, and maintaining scalable applications and services. You'll lead technical solutioning efforts, make architectural decisions, and help define best practices to ensure long-term performance and reliability. You'll be instrumental in building and deploying AI/ML capabilities that directly impact patient care, clinical decision-making, and healthcare operations. This role will help integrate new technologies and oversee all engineering activities for the cross-functional team. This includes the consumer (patient)-facing experiences, clinical and administrative interfaces, and building out all underlying capabilities that support those experiences. Teams are small and agile, and the role is very hands-on, combining individual contribution with technical leadership. You'll play a key role in setting technical direction, mentoring and working with other engineers, and collaborating across teams to deliver impactful solutions. Responsibilities • Collaborate with team members and business stakeholders to understand requirements and develop effective technical solutions, • Lead and manage a team of onshore and offshore developers, providing technical leadership and mentorship, • Oversee the design, development, testing, and deployment of applications, • Deliver flexible and robust solutions that meet overall business objectives, • Participate in technical solution reviews and ensure implementation of best practices, • Perform hands-on solution design and develop proof-of-concepts for new features or technologies, • Implement and maintain modern DevOps practices to ensure smooth, automated delivery processes, • Leverage AI and automation technologies to optimize workflows, improve efficiency, and enhance product capabilities, • Build and optimize data pipelines that feed AI/ML models with healthcare data from multiple sources, • Continuously learn and stay current with emerging technologies, industry trends, and best practices to drive innovation and maintain technical excellence About You Operational Excellence - You have a deep understanding of software engineering best practices, including clean code, refactoring, complexity reduction, schema design, and Domain-Driven Design. You take pride in writing production-ready, high-quality, and maintainable code. Mission-Driven - You care deeply about improving healthcare and patient outcomes. You're excited to work at a company that is using technology to transform how care is delivered. Exceptional Communicator - You're able to clearly and effectively communicate complex technical ideas, whether in writing, on calls, or in collaborative sessions. You thrive in a remote-first environment and enjoy working closely with engineers, product managers, and other stakeholders. Execution-Oriented - You have a strong bias for action and delivering results. You don't wait for perfect conditions, you move things forward, overcome blockers, and get the job done. Data-Driven & Systems Thinker - You are a systems thinker whose happy place is imagining new ways of capturing and capitalizing on data. Where others see dormant, siloed information, you see the potential for AI/ML-powered insights, intelligent automation, and seamless integrations. You excel at designing end-to-end solutions that combine traditional data engineering with modern AI capabilities to create scalable, automated workflows that enhance healthcare delivery. Analytical Problem Solver - You thrive on breaking down complex technical challenges into manageable components. You approach problems systematically, use data to drive decisions, and can identify root causes quickly. You're comfortable working with ambiguous requirements and can design elegant solutions for intricate workflows. Requirements • Bachelor's or master's degree in Computer Science, Information Technology, or a related field, • Proven 6–8 years of software development experience, with at least 3 years in a team lead or technical leadership role, • Strong proficiency in C#, or alternatively Java or Node.js, with a solid understanding of object-oriented programming principles and design patterns, • Hands-on experience with .NET Framework/Core (including ASP.NET MVC, ASP.NET Core, Web API) or equivalent frameworks in Java (Spring, Jakarta EE) or Node.js (Express.js), • Strong database skills with expertise in SQL Server, including writing and optimizing stored procedures, functions, and views, • Proven experience building secure and performant RESTful APIs, • Proficiency in React.js for front-end development, • Solid knowledge of TypeScript and JavaScript, including ES6+ features and modern development best practices, • Understanding of UI/UX principles to collaborate effectively with design and deliver intuitive user experiences, • Understanding of software development lifecycle (SDLC) methodologies, particularly Agile, • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), • Experience with key AWS services including IAM, Lambda, API Gateway, RDS, EC2, and S3 (or similar services in other cloud platforms), • Cloud certifications demonstrating expertise in cloud architecture and administration, • Experience with microservices architecture, • Strong experience with Git for version control and collaborative development workflows, • Hands-on experience with AI/ML technologies, including integrating and consuming AI APIs (OpenAI, Azure Cognitive Services, AWS Bedrock, etc.), building solutions using Retrieval-Augmented Generation (RAG) for knowledge systems, fine-tuning pre-trained models with specific datasets, and model experimentation, hyperparameter tuning, and performance optimization in production environments, • Exposure to data engineering practices, including building data pipelines for model training and inference, data preprocessing and feature engineering, and ensuring data quality and validation, • Understanding of security best practices, procedures, and policies Nice to Have • Experience building and deploying AI agents for healthcare workflows, including multi-step reasoning, tool integration, and autonomous task execution, • Familiarity with agent frameworks and orchestration platforms, • Knowledge of prompt engineering techniques and agent behavior optimization, • Experience with workflow automation platforms like n8n, • Experience with low-code/no-code platforms like Retool for rapid application development, • Experience with data warehouses like BigQuery, Redshift, or Snowflake, • Experience with containerization technologies like Docker Benefits • Flexible Paid Time Off (PTO), • Health, Dental and Vision Insurance, • 401(k) Retirement Plan, • Flexible Spending Accounts Additional Information • This is a full-time, hybrid position located within the United States. Team members are expected to work 3 days per week in our NYC office.

Executive Assistant to Founder Confidential | New York, NY | Full-Time, In-Office/Remote About the Role We are seeking an exceptional Executive Assistant to provide high-level support to the Founder of a tech company. This is a full-time, in-office role (Monday–Friday, 9–5 or 10–6) for someone who is deeply committed to the craft of being an excellent assistant. This person must bring grace, discretion, and precision to everything they do. Key Responsibilities Scheduling & Calendar Management • Manage complex, high-volume business and personal calendars for a founder who travels extensively, • Coordinate across time zones with family members, chiefs of staff, and external offices to maintain a seamless, unified schedule, • Anticipate scheduling conflicts and resolve proactively Travel Coordination • Arrange all travel for the Founder independently, handling flights, accommodations, ground transportation, and full itinerary logistics, • Collaborate with a travel agent when needed for more complex trips, • Ensure every trip is well-organized and runs smoothly from start to finish Event Planning & Execution • Plan and execute events of up to 100 guests, from intimate private dinners to larger gatherings, • Work directly with chefs, caterers, and vendors on menus, logistics, and setup, • Oversee all event details — table settings, guest flow, ambiance — ensuring every event runs flawlessly, • Correspond with guests and their offices with professionalism and warmth Personal & Household Support • Run personal errands and manage day-to-day personal tasks for the Founder, • Liaise with the house manager, household staff, and office employees across multiple residences, • Support coordination involving the Founder’s family, including three children General Executive Support • Attend meetings when needed, representing the Founder with polish and professionalism, • Handle correspondence, phone calls, and communications with excellent judgment, • Manage sensitive information with the utmost confidentiality Requirements • 3+ years of experience as an Executive Assistant or Personal Assistant, with hands-on experience across the types of responsibilities listed above, • Experience coordinating events and working with vendors and hospitality teams, • Outstanding written and verbal communication skills with exceptional attention to detail, • Ability to manage highly sensitive and confidential information with absolute discretion, • Comfortable working across personal and professional domains, • Proficient in Google Suite and Gemini, • Proficient in Microsoft Word, • Strong skills in creating polished PDFs and PowerPoint presentations, • Familiarity with AI tools and a curiosity to use them effectively in day-to-day work Compensation Salary: [Range] Benefits: • Health, dental, and vision insurance, • $2,000 Health Reimbursement Account (HRA) Time Off: • 15 vacation days, • 3 personal days, • 6 sick days

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — AI & Data Science Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning., • Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth., • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality., • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background., • Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills and the ability to explain technical decisions clearly. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionApplied AI EngineerLocation: New York, NY (Hybrid – Wednesday Remote) Employment Type: Full-TimeHireNow Staffing is actively recruiting multiple seasoned, highly skilled Applied AI Engineers to join one of our valued client partners. HireNow Staffing is acting as a direct placement partner for this Applied AI Engineering opportunity within the fintech and institutional investment technology sector.Position OverviewThis position is built for engineers who thrive in fast-moving environments and enjoy building AI-powered applications that solve complex operational problems for institutional finance teams. The selected candidates will work on production-grade AI systems used by sophisticated investment organizations, transforming research, analytics, and operational workflows through modern AI infrastructure and automation.This is not a research-focused AI role. The client is seeking engineers who can build, deploy, and scale user-facing AI applications using modern LLM infrastructure, agentic frameworks, orchestration tooling, and full-stack engineering principles.Candidates must be comfortable operating in highly unstructured startup environments where ownership, execution speed, and technical depth are essential.Core Responsibilities • Build AI-powered client applications leveraging modern LLM infrastructure and orchestration frameworks, • Develop agentic workflows, automation layers, and intelligent research systems for institutional investment teams, • Design and maintain backend APIs using Python frameworks such as FastAPI, Flask, or Django, • Build responsive frontend applications using React and modern UI tooling, • Implement MCP-connected data sources, orchestration pipelines, and AI agent frameworks, • Develop ETL pipelines supporting portfolio analytics, securities data, research signals, and operational workflows, • Create scalable infrastructure supporting observability, orchestration, AI tooling, and workflow automation, • Work directly with client stakeholders to convert operational challenges into production-ready software solutions, • Support Kubernetes-based deployments across client environments, • Continuously iterate on AI products in compressed delivery cycles while maintaining production quality standards Required Qualifications (Non-Negotiable)Candidates must meet the following qualifications to be considered for interview:, • 3–8 years of experience as a Full-Stack Software Engineer or Applied AI Engineer, • Strong Python development expertise with production API experience using FastAPI, Flask, or Django, • Demonstrated experience building user-facing AI products from concept through deployment, • Hands-on experience integrating frontier LLM APIs such as Anthropic or OpenAI, • Proven experience using agentic AI tooling including MCP servers, Claude Code, Codex, LangGraph, OpenClaw, LangChain, OpenCode, or similar frameworks, • Strong understanding of agentic loop architecture, state handling, orchestration, and context management, • Experience building full-stack applications using React and backend API systems, • Comfortable operating within startup-style, highly unstructured environments, • Stable employment history with demonstrated ownership of long-term projects and product delivery, • Strong communication skills with ability to collaborate directly with technical and non-technical stakeholders Preferred Qualifications, • Prior fintech, hedge fund, institutional investment, biotech, or quantitative systems experience, • Experience building AI-powered workflow automation tools or financial intelligence platforms, • Familiarity with Kubernetes deployments and cloud infrastructure environments, • Experience working with portfolio analytics, risk systems, or data-intensive applications, • Strong understanding of data orchestration and distributed system workflows, • Experience working within high-performance engineering teams delivering products rapidly HireNow ChecklistHireNow Staffing is recruiting for Applied AI Engineers who demonstrate:, • Strong ownership mentality with proven 0-to-1 product development experience, • Deep hands-on AI implementation expertise rather than purely research-based AI backgrounds, • Strong full-stack engineering capabilities with production-level Python and React experience, • Experience building customer-facing AI applications using modern LLM infrastructure, • Ability to move quickly while maintaining software quality and operational reliability, • Clear interest or exposure to fintech, quantitative systems, or high-stakes data environments, • Stability within prior employment history and consistent technical growth, • Strong problem-solving ability within ambiguous or rapidly evolving environments HireNow DisqualifiersCandidates will not be considered if they primarily demonstrate:, • AI research, model training, fine-tuning, or optimization experience without user-facing application development, • Internal tooling-only backgrounds without production customer-facing product ownership, • Big Tech-only environments lacking startup execution and independent ownership experience, • Limited or no hands-on agentic framework implementation experience, • No direct integration experience with modern LLM APIs and orchestration tooling, • Frequent job changes, contract-heavy work history, or unstable employment backgrounds, • Limited frontend engineering capability or lack of full-stack product development experience HireNow Package, • Location: Hybrid onsite role in New York, NY (Wednesday remote schedule), • Compensation: $230,000 – $300,144 base salary depending on experience and technical depth, • Additional compensation may include prorated end-of-year bonuses ranging from $25,000 – $50,000, • Equity participation available ranging approximately 0.1% – 0.2%, • Full benefits package available, • Opportunity to work directly with elite institutional investment organizations, • Visa sponsorship flexibility available for qualified candidates (excluding net new $100K H1B sponsorship situations) HireNow Staffing DisclaimerHireNow Staffing is acting as a direct placement partner for this role. All candidate information is handled confidentially and evaluated against defined requirements. This job description outlines the general scope of responsibilities and qualifications. Duties may evolve based on client needs and business growth. Only candidates meeting the core qualifications will be considered for interview.https://www.careers-page.com/hirenow-staffing-inc/job/RY7W8496

Job DescriptionProduct Security Engineer 1 opening Required Skills Ai & securityApp security toolingLlm securityProgramming proficiency Job Description Job Title: Product Security Engineer Job Type: Full-time Location: Remote The Role We are seeking a Product Security Engineer to help define the future of AI-native security engineering. In this role, you will operate at the intersection of application security, machine learning, and developer productivity—designing autonomous security systems that scale with modern software development. You will lead the evolution of our security platform by embedding AI-driven controls directly into the software lifecycle, enabling continuous risk discovery, intelligent remediation, and secure deployment at the speed of innovation. What You'll Do • Architect and build AI-powered security systems that autonomously identify, triage, and remediate vulnerabilities across applications, infrastructure, and AI workloads., • Develop agentic security workflows that leverage LLMs and machine learning for code review, threat detection, vulnerability correlation, root-cause analysis, and automated fix generation., • Reimagine the Secure Software Development Lifecycle (SSDLC) by integrating intelligent security controls, AI guardrails, and continuous validation into CI/CD pipelines., • Lead threat modeling initiatives for distributed systems, AI platforms, RAG architectures, model-serving infrastructure, data pipelines, and autonomous agents., • Design security frameworks for protecting AI systems against emerging threats including prompt injection, model abuse, data poisoning, adversarial attacks, and sensitive data leakage., • Build behavioral detection models and risk engines to identify synthetic identities, document fraud, account takeover attempts, and other adversarial activity within customer onboarding and KYC workflows., • Apply machine learning and contextual risk scoring to reduce alert fatigue, prioritize security findings, and drive autonomous remediation decisions., • Partner closely with engineering, platform, and AI research teams to ensure security is embedded as a native capability rather than a downstream function., • Scale a culture of security engineering through mentorship, technical leadership, and enablement programs focused on secure AI development practices. What We're Looking For • Demonstrated experience building or applying AI/LLM-powered security solutions, including agentic workflows, autonomous remediation systems, vulnerability discovery, or security copilots., • Deep expertise in Application Security, Product Security, or Security Engineering with a strong software development background., • Hands-on experience integrating enterprise security tooling (e.g., Snyk, Checkmarx, GitHub Advanced Security, Semgrep, Wiz, Lacework) into automated developer workflows and AI-driven orchestration platforms., • Strong understanding of modern security architecture, cloud-native systems, APIs, microservices, and distributed computing environments., • Deep familiarity with OWASP Top 10, OWASP Top 10 for LLM Applications, secure AI development practices, and emerging AI threat models., • Advanced programming skills in Python and at least one additional language such as Go, Java, Rust, or Node.js., • 8+ years of experience spanning Application Security, Software Engineering, Infrastructure Security, or related technical domains., • Proven track record driving large-scale automation initiatives and transforming security programs from reactive operations to autonomous, intelligence-driven systems., • Exceptional communication skills with the ability to translate complex technical and AI-related risks into strategic business decisions. Preferred • Experience securing AI products, foundation model platforms, inference infrastructure, or agentic systems in production environments., • Background in applied machine learning, security data science, fraud detection, or behavioral analytics., • Contributions to open-source security tools, AI security research, or industry thought leadership., • Experience operating within high-growth technology companies, AI labs, or research-driven engineering organizations., • Familiarity with emerging areas such as AI red teaming, model evaluation, agent security, autonomous penetration testing, or AI safety engineering.

Job Description CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview As a Senior Full Stack Software Engineer, you will play a key role in designing, building, and evolving CVector’s core platform—including our web applications, back-end data pipelines, and industrial gateways. You will help deliver robust, intuitive user experiences centered around real-time data visualization and operational insight, deployed in demanding environments such as power generation facilities and chemical plants. This role requires strong technical judgment, a bias toward shipping high-quality software, and a product-oriented mindset. You should be comfortable working across the stack, learning new technologies quickly, and taking ownership of complex problems in a fast-moving startup environment. You will collaborate closely with other engineers and will have opportunities to lead technical initiatives and influence architecture and product direction. Responsibilities As a Senior Full Stack Software Engineer, you will: • Lead development of real-time data visualization platform to create beautiful data visualizations and integrate inspiring AI-driven insights, • Design, implement, and deploy features and bug fixes across the full software stack, from front-end UI to back-end services and data stores, • Collaborate with product and design to translate user needs into well-scoped, high-quality technical solutions, • Ensure system reliability and maintainability through automated unit, integration, and end-to-end testing, • Participate in an on-call rotation and help improve operational tooling and observability, • Contribute to technical decision-making, architecture discussions, and code reviews, • Mentor junior engineers and help raise the overall quality and velocity of the team, • Occasionally travel to customer sites to gain firsthand understanding of real-world usage and constraints Requirements Our current technology stack includes Python, TypeScript, React, Supabase, MQTT, Figma, Arco Design, TigerData, PostgreSQL, and AWS, with development workflows managed through GitHub. A strong candidate will bring: • A relevant engineering degree or equivalent professional experience demonstrating a solid foundation in computer science, • 2+ years experience developing production software using Python and/or TypeScript, • Experience building modern web applications with front-end frameworks (e.g., React) and back-end services, • Familiarity with cloud infrastructure, databases, and real-time or event-driven systems, • Experience with data visualization, dashboards, or complex UI state is a strong plus, • Strong communication skills and the ability to collaborate effectively in a remote-first team, • Comfort working in a startup environment with evolving requirements and high ownership, • Willingness to travel occasionally, both domestically and internationally Benefits CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable The anticipated base salary range for this role is $132,000 to $150,000.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Frontend Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities • Use frontier AI coding agents to complete and evaluate complex engineering tasks., • Review model-generated frontend code for correctness, quality, maintainability, accessibility, and performance., • Identify bugs, edge cases, and failure modes in model outputs., • Compare outputs from multiple frontier models and assess their strengths and weaknesses., • Apply professional engineering judgment to realistic frontend engineering scenarios. Qualifications Must-Have • 2+ years of professional frontend engineering experience., • Experience building modern web applications using React, TypeScript, JavaScript, or similar technologies., • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools., • Ability to evaluate model-generated frontend implementations, UI architecture, and performance optimizations. Preferred • Experience working on large-scale consumer or enterprise applications. Compensation & Legal • $400 per accepted task, • Compensation tied to accepted work Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionAbout Fractional AI How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages? Fractional AI is focused on putting frontier AI to work. We’re a group of veteran Silicon Valley builders who care deeply about getting complex AI systems built right, with strong conviction about what makes them succeed. We're backed by Anthropic, Blackstone, Hellman & Friedman, Goldman Sachs, General Atlantic, Leonard Green & Partners, Apollo Global Management, GIC, and Sequoia Capital. We're headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai. The Role This role is designed for former engineering leaders (IC or EM) or founders who are comfortable owning end-to-end technical outcomes but specifically want to continue being impactful as individual contributors and spend more time in the code. You'll work on a small, high-caliber team (2–5 engineers and a PM) building AI products for our clients. You'll set technical direction, write code, and be the person the team looks to when something is hard. You'll spend roughly 75% of your time in code and 25% working directly with clients — often their CTOs — understanding problems, walking through tradeoffs, and making sure what we’re building meets their needs. Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices. What You Bring 8+ years of engineering experience, with deep care for the craft. You've shipped multiple complete products end-to-end and write elegant, production-ready code across multiple disciplines. Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design. Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build. High ownership mindset. You jump in without instruction, embrace a "no job too big, no job too small" mindset, and want to shape strategy and culture. Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty–with yourself and your team. Our Engineering Philosophy We're opinionated about what works in production, and we write about it — from why most eval setups fail by collapsing everything into a single score, to why defaulting to chat interfaces limits AI's impact. We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over. After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI. How Fractional Is Different A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else. Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our engineers think. Our Values Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team. Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier. Over "engineer" the culture: For every big decision, we ask “would this make Fractional a better or worse place for our team?” Location San Francisco, CA New York, NY Work Arrangement: 4 days in-person, Fridays remote Benefits 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. 📈 401k with Matching: Invest in your future with our company-matched retirement plan. 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. 🚑 Health FSA: Manage out-of-pocket health expenses effectively. 🚌 Commuter Benefits: Make your travel to work easier and more affordable. 🏥 Life Insurance: Providing peace of mind for you and your loved ones. 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us? Compensation Range: $275K - $400K

Job DescriptionFollow your passion Are you looking to make a BIG impact? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission. Currently, we operate multiple elementary and middle schools in the Bronx, Upper Manhattan, and Queens. We plan to grow and open 1-2 schools each year because children in every community deserve excellent, equitable education. Join our growing team today, and be a change agent for children. Our Network office is located at 401 W. 218th St., New York, NY 10034. Our Network team follows a hybrid work schedule: we work in-person from our office on Tuesdays and Thursdays with optional remote days on Mondays, Wednesdays, and Fridays, if your team's scope of work permits. Deliver powerful results To achieve our vision, we are searching for a Director of Communications with a Bachelor's degree (preferably in Journalism, Communications, English, or a related field), and at least 7-10 years of experience with a proven record of leading high-stakes communications strategy, managing staff, and developing compelling content across stakeholder audiences. In this role, the Director will serve as Zeta's organizational editor-in-chief--shaping and elevating Zeta's public identity through consistent messaging, strategic storytelling, and strong internal communications systems. The Director will lead all communications strategy and execution across media, PR, executive communications, and family-facing messaging. A strong candidate will bring outstanding writing skills, editorial rigor, project management expertise, and an ability to align messaging across audiences--from families and funders to media and policymakers. Responsibilities: • Develop and implement an integrated communications strategy that aligns Zeta's public voice with its mission, vision, and values, • Lead messaging across internal and external channels, supporting consistent and coherent storytelling that builds stakeholder trust, • Author and refine high-impact communications including press releases, executive communications (including op-eds), board updates, internal staff messaging, and family-facing materials, • Manage media relationships, proactively pitch stories, and coordinate earned media coverage to expand visibility for Zeta and its CEO, • Serve as thought partner to senior leadership on executive communications and key change initiatives, • Maintain editorial standards and quality control across all messaging, ensuring excellence in voice, tone, accuracy, and brand alignment, • Oversee vendor partnerships (e.g., PR firms, writers, consultants), ensuring deadlines, quality, and budget are met, • Collaborate cross-functionally with the Marketing, Outreach, Schooling, and Executive teams to unify messaging efforts, • Support the implementation of Zeta's communications protocols, timelines, and stakeholder sequences in line with our policies and procedures (P2) standards, • Wear multiple hats as a part of a lean scale-up team, supporting the work of others on the team and taking on new projects and tasks as neededJoin our purpose-driven community Zeta teammates are lifelong learners who live with child-like joy and a deep sense of purpose. We disrupt the status quo and tackle problems together. Our team stands united by our commitment to a limitless future for every child. Our Zeta team is comprised of top talent with incredible schooling and private sector experience. At Zeta: • We are passionate about our mission of providing world-class education to all students, • We bring a mindset of growth, flexibility, and openness to feedback, • We are hungry and determined to not only meet our goals, but surpass them, • We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment, • We have a high bar for excellence and sweat over the details, • We are caring and put team over individual at all times We are accepting applications on a rolling basis. The salary range for this position is between $110,000 and $130,000. New hires can expect to be brought into the organization at a salary at or near the start of the range, depending on relevant experience and internal equity. Compensation is based on our salary scales. How does Zeta invest in you? We offer great benefits: • Comprehensive and affordable medical, dental, and vision plans, • Flexible spending accounts for eligible medical purchases and commuter expenses, • 403(b) retirement plan; Zeta offers matching contributions toward your savings, • Competitive compensation We provide awesome perks: • Monthly stipend for wellness and lifestyle expenses (Gym memberships, salon appointments, concerts – it's up to you!), • 4 live therapy sessions per month through Talkspace, and a free Headspace subscription, • MacBook Air, and specified monthly reimbursement for use of mobile phone, • Fully stocked teacher workrooms with favorite snacks and Nespresso machine, • Zeta swag, team outings, and NYC's finest sweet treats, • Books for professional development We care deeply about your personal and professional growth: • Clear pathway to professional growth, • Consistent feedback and support from managers and teammates, • Community Circle practice to build and strengthen our sense of team, • Interactive Mindfulness and DEIJ programmingApply Now! Equity is at the heart of our mission. We have a deep commitment to pursuing diversity and striving for equity. Zeta is an equal opportunity employer. Candidates of all backgrounds are encouraged to apply. Work authorization is required (candidate must have permanent authorization to work in the U.S.).

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Backend Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities • Use frontier AI coding agents to complete and evaluate complex engineering tasks., • Review model-generated code for correctness, quality, maintainability, and performance., • Identify bugs, edge cases, and failure modes in model outputs., • Compare outputs from multiple frontier models and assess their strengths and weaknesses., • Apply professional engineering judgment to realistic backend engineering scenarios., • Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications Must-Have • 2+ years of professional backend engineering experience., • Experience building APIs, distributed systems, microservices, backend platforms, or databases., • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools., • Ability to evaluate model-generated code and identify bugs, edge cases, and architectural tradeoffs. Preferred • Experience working on large-scale production systems. Compensation & Legal • $400 per accepted task., • Typical tasks take approximately 1–3 hours after ramp-up., • No fixed task limits., • Compensation is tied to accepted work. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Shopify Expert Type: Contract Compensation: $50–$70/hour Location: Remote Role Responsibilities • Evaluate and optimize Shopify store performance to enhance user experience., • Design and implement custom solutions using Shopify's agent to meet client needs., • Collaborate with clients to understand requirements and deliver tailored Shopify solutions., • Provide ongoing support and improvements for existing Shopify setups., • Work independently and asynchronously to meet project deadlines. Qualifications Must-Have • Experience using Shopify's agent. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Public Interest Law Expert (Civil / Environmental) Type: Contract Compensation: $1,750–$2,150 per completed task Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use daily. Include intake notes, case-summary memos, pleadings, advocacy letters, policy briefs, grant reports, amicus drafts, and email threads. Represent platforms like Westlaw / LexisNexis, Clio / MyCase, Socrata / ArcGIS Hub., • Design multi-step tasks grounded in real workflows. Require navigating multiple apps, files, and stakeholders to meaningfully challenge frontier AI agents., • Collaborate with other public-interest attorneys to design the environment, shape task scope, and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for public-interest-law agent benchmarks., • Contribute to frontier AI research and benchmarking. Your work directly informs how leading labs train and evaluate the next generation of AI systems. Qualifications Must-Have • JD and active bar admission, • 3+ years of full-time public-interest experience at a major legal-aid organization, public-interest law firm, state AG / DOJ office, or impact-litigation nonprofit, • Background in civil-rights, civil-legal-aid, environmental law, consumer-protection, impact litigation, or administrative advocacy, • Day-to-day use of Westlaw / LexisNexis, Clio / MyCase, and Socrata / Esri ArcGIS Hub, • Strong analytical thinking and writing Compensation & Legal • Task Completion Pay: Competitive and based on task quality (~$1,750 – $2,150 per completed task, subject to change as the project evolves), • Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate, • Hourly Opportunity: Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Have you already conquered years of the grind and you are seeking part-time work? Do you have a world of tax knowledge and incredible attention to detail? Are you a talented problem-solver? Do you love music? Do you still want to be in the mix, but without the pressure? If you answered "yes" to the above questions, then we have an interesting and exciting work opportunity for you. Small NYC business management firm seeks an experienced senior accountant for long-term position. The ideal candidate is analytical, proactive, forward-facing, and needs little handholding. Must have experience compiling and preparing financial data, as well as entering on tax forms for both personal and corporate returns. This is a role based on meticulous financial recordkeeping for tax preparation...includes maintaining and updating financial records, precise data entry, bank account reconciliation, P&L reporting, budgeting, and comparing financial records. The candidate must be able to prepare tax returns for corporations and partnerships, and handle and manage Schedule C and K-1s. Enrolled Agent preferred. We handle the entertainment industry and entrepreneurs. The clients are exciting and the work is diverse! We need expertise and wisdom... If you have 12-16 hours per week....1 Day In-Office, 1 Day Remote....let's have a conversation. Hourly rate commensurate with experience, but excellent! Skills required: Microsoft Office, Excel (intermediate), working knowledge of CCH Axcess tax software. QuickBooks Desktop & Online, XERO accounting software a plus. Must be a self-directed, analytical thinker. Excellent verbal and written communication skills. Outgoing demeanor a must.

Job Description Capgemini is at the forefront of Generative AI innovation, helping Financial Services clients industrialize GenAI and Agentic AI platforms at enterprise scale. We are seeking an experienced and innovative AI Product Engineer – Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS‑ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC, who can partner directly with clients to envision, design, develop, and deploy Agentic AI platforms in regulated environments. In this role, you will work at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production‑grade, governed, multi‑agent systems. You will apply leading GenAI frameworks and LLM platforms — including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases—while operating across the full Agentic SDLC. P&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role. We are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers. Requirements Client Advisory & Product Vision • Partner directly with Financial Services clients to identify, prioritize, and shape Agentic AI use cases across customer operations, underwriting, claims, risk, compliance, finance, and technology., • Lead client workshops to define agent personas, responsibilities, autonomy boundaries, human‑in‑the‑loop checkpoints, and escalation logic., • Translate evolving business needs into agentic product backlogs, roadmaps, and MVP definitions., • Support executive conversations around GenAI platform strategy, operating models, vendor selection, and scale‑out approaches. Agentic Platform & Architecture Design • Design and implement multi‑agent architectures using modern GenAI tooling, including:, • Planner, executor, reviewer/critic, and supervisor agents, • Tool‑calling and function‑calling agents, • Memory‑enabled agents (conversation, semantic, episodic, and structured memory), • Leverage LangChain and LangGraph for agent orchestration, workflows, and control flow., • Apply DSPy and declarative prompt optimization techniques for repeatability, performance tuning, and regression control., • Design agent interaction patterns such as hierarchical agents, collaborating agents, and event‑driven agent workflows., • Define standardized agent contracts, interfaces, and schemas to enable reuse and scale. Agentic SDLC & Engineering Delivery • Own delivery across the full Software Development Lifecycle (SDLC), extending it into a formal Agentic SDLC, including:, • Agent design specifications and behavior contracts, • Prompt, policy, and tool versioning, • Simulation environments and offline evaluation, • Automated testing of agent flows and guardrails, • Controlled rollout, telemetry‑driven optimization, and continuous learning, • Build production‑grade AI services primarily using Python, integrating:, • LLM providers such as Anthropic (Claude), OpenAI, and open‑source models, • Retrieval‑Augmented Generation (RAG) using vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate), • Implement CI/CD pipelines for agent code, prompts, and policies., • Integrate GenAI agents with client systems via APIs, workflow engines, event streams, and data platforms. Observability, Evaluation & Optimization • Implement agent observability including tracing, decision logging, tool usage, and failure analysis., • Apply evaluation frameworks for hallucination detection, consistency checks, and fitness scoring., • Design feedback loops incorporating human‑in‑the‑loop review and reinforcement., • Monitor cost, latency, throughput, and behavioral drift across deployed agents. Governance, Risk & Financial Services Compliance • Design Agentic AI platforms aligned with Financial Services regulatory expectations, including:, • Auditability and traceability of agent decisions, • Model and prompt explainability, • Data privacy and security controls, • Resilience and fail‑safe mechanisms, • Embed guardrails and policies addressing hallucination risk, bias, unauthorized actions, and escalation failures., • Produce documentation supporting risk, compliance, internal audit, and regulator engagement. Team Leadership & Firm Contribution • Provide technical leadership and mentorship to consulting delivery teams., • Contribute to internal GenAI accelerators, agent frameworks, and reusable assets., • Support RFPs, proposals, and client solution designs with credible GenAI and agentic architectures., • Participate in thought leadership on Agentic SDLC, GenAI engineering, and responsible autonomy. Benefits This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally known group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • *Note: Benefits differ based on employee level About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 420,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2025.

Job Description COMPANY: Canoe Intelligence WEBSITE: https://canoeintelligence.com/ TITLE: Sr. Machine Learning Engineer LOCATION: New York City or London (hybrid) / Fully Remote in the United States or United Kingdom SALARY: $180,000 - $220,000 (based on NYC, will be adjusted for geo) The Role: We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You’ll work hands-on with LLM and other ML Models, helping scale Canoe’s platform while shaping how alternative investment firms interact with their data. What You’ll Do: Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval. Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability. Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models. Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities. Contribute to Canoe’s MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning. Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions. Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe’s technology stack. Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We’re Looking For: Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking). Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions. Problem-solver with a product mindset and bias toward outcomes. Excellent communication skills; able to partner across engineering, product, and business teams. Comfortable in fast-paced, agile startup environments. Bachelor’s degree in computer science or related field. Preferred Master Degree or PhD in computer science or related field Experience in training and deploying large language models. Familiarity with cloud computing platforms and distributed computing. Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc. Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth). What You’ll Get: Medical, dental, vision benefits Flexible PTO 401(k) Flexible work from home policy Home office stipend Employee Assistance Program Gym/Wifi reimbursement Education assistance Parental Leave Our Values: Client First —> Listen, and deliver client-centric solutions Be An Owner —> Take initiative, improve situations, drive positive outcomes Excellence —> Always set the highest standard for yourself and others Win Together —> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Job DescriptionAre you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.Now, we're growing!The role We are looking for a Programmatic Strategist to own the activation, optimization, and troubleshooting of deal-based campaigns running across our clients' DSPs. This person is the subject-matter expert on how different DSPs optimize—and translates that knowledge into the best possible setup and in-flight guidance for client trading teams. You will manage a portfolio of high-value deals across both our AudienceGPT and ContextGPT products - our deep-learning, LLM-based activation platforms - and will help shape the next generation of automated deal health monitoring by building AI agent–driven workflows alongside Product and Engineering. This role combines hands-on programmatic trading with client-facing DSP expertise. You will spend your time moving between diagnosing a deal in DV360, coaching a client trader on how to configure The Trade Desk for optimal delivery, and partnering with our Data Science and Engineering teams to replace manual deal-health checks with agent-based automation. This position will be located in NYC with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday). What You'll Do • Own cross-DSP deal activation. Build, QA, and launch deals in AudienceGPT and ContextGPT, push them into external DSPs (DV360, The Trade Desk, Yahoo, and others), and ensure clean population and delivery end-to-end across a book of 15+ concurrent deals., • Be the DSP optimization expert for client trading teams. Advise clients on the optimal setup for each DSP - bidding strategy, line-item configuration, and pacing logic - because every DSP optimizes differently, and the right configuration depends on the platform., • Troubleshoot SSP/DSP issues end-to-end. Diagnose deal-ID discrepancies, seat mapping, creative approvals, and inventory availability issues; drive resolution with SSP and DSP support teams and communicate clearly back to the client., • Support client relationships. Support client success team in fostering and maintaining client relationships. Clients should trust you as a specialist in Deal Activation and Implementation., • Feed the product roadmap. Translate field learnings into concrete product requirements for AudienceGPT, ContextGPT, and our agent-based automation layer.Who You Are, • Programmatic Trading & Deal Activation Expertise. You have 2-3 years of hands-on experience activating and running deal IDs (PMPs, PG, curated marketplaces) in programmatic environments and understand the full lifecycle from packaging through in-flight optimization., • You know how different DSPs actually optimize. You have hands-on experience across multiple DSPs - DV360, The Trade Desk, Yahoo DSP, Amazon DSP, and/or others—and can clearly articulate how each one's bidding, pacing, and optimization algorithms behave differently, and what that means for the right deal setup., • You speak the SSP and deal language. You are fluent in deal packaging, seat mapping, inventory targeting, floor pricing, and discrepancy troubleshooting, and you have resolved deal-ID issues with SSP and DSP support teams., • You are a trusted advisor to client trading teams. You can walk a client trader through why a deal is under-delivering, recommend the right fix in their DSP, and communicate trade-offs clearly—technical when needed, plain-spoken when useful., • You are curious about AI and automation. You are excited about deep-learning and LLM-based activation and want to help design agent-driven workflows that replace manual campaign-health checks., • You have managed a complex book. You have independently run 10+ active deals across multiple clients and DSPs and are comfortable owning end-to-end delivery, QA, and client communication., • You sweat the details. Clean documentation, thorough QA, and on-time activation matter to you; you do not let deal hygiene slip., • You are a clear communicator. Strong written and verbal skills; you can explain programmatic concepts to technical and non-technical stakeholders.Bonus Points If You Have, • Exposure to deep-learning or LLM-based activation products. Familiarity with contextual or audience AI products in the market, or a working understanding of how LLM- and deep-learning-based activation differs from traditional rules-based targeting., • Experience configuring AI-agent workflows. You have built or configured LLM-based automations, agent frameworks, or workflow orchestration tools for campaign or operational monitoring., • Cross-channel programmatic experience. You have activated deals across Display, CTV, OLV, Social, and emerging programmatic channels in addition to display. Salary • $95,000-115,000 USD Base Salary + Equity What We OfferCompensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv—you'll also receive equity and a comprehensive benefits package.Highlights include: • Medical, Dental and Vision plan for US employees & Extended Health Benefits for Canadian employees, • 12 weeks paid parental leave + 4 weeks WFH, • Unlimited PTO + Work-From-Anywhere August, • Career development with clear advancement paths, • Equity for all employees, • Hybrid work model & daily team lunch, • Health & wellness stipend + cell phone reimbursement, • 401(k) & RRSP with employer match, • Parking (CA, WA, Vancouver offices) & pre-tax commuter benefits, • Employee Assistance Program, • Comprehensive onboarding (Cognitiv University), • …and more!What You'll Find at Cognitiv, • Festiv – We make work fun with cross-team games, events, and creative team bonding., • Responsiv – You'll be close to clients and leadership, influencing real outcomes., • Inclusiv – Diversity and individuality are celebrated across all levels., • Inventiv – We reward curiosity and embrace bold ideas., • Transformativ – We support your growth with training, mentorship, and flexibility., • Collaborativ – We operate across coasts, connected by purpose and teamwork.Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.Note on AI Use: Cognitiv may use AI technology to assist with certain administrative aspects of the hiring process, such as note-taking, interview documentation, and reporting. However, every resume and application is reviewed directly by our recruiting team. AI tools are used solely for operational support and do not influence candidate evaluation or hiring decisions.

Job DescriptionLogRocket is looking for a technical, creative DevRel to be the face and voice of LogRocket for engineers and technical leaders. You'll inherit one of the strongest developer content platforms in the industry: PodRocket, our podcast that's consistently ranked a top developer show in State of JS and State of CSS surveys; the LogRocket blog, which has been one of the most-trafficked frontend engineering resources on the web for years; and our growing YouTube channel. Your job is to evolve all three for the AI-native era and be the technical face of LogRocket for developers. You'll create the content that shows engineers what AI-native dev tooling actually looks like in practice, with Galileo AI as your canvas. This is a Super IC role first. If the thesis works, you'll build a team. You report directly to the VP of Marketing and work closely with our engineering org and technical founders. This isn't a sales engineering role wearing a DevRel hat. You're building LogRocket's reputation with engineers, not running demos for prospects. The opportunityGalileo AI watches every session replay, support ticket, customer call, and product change, then tells engineers what broke, why, and what to do next. It runs via MCP in Claude, Cursor, ChatGPT, and Gemini, in Slack, in Teams, and inside LogRocket itself. None of our competitors can demo this. You'd be the person who shows engineers what it actually means to have an AI agent sitting next to your code that knows what your users are doing. That's the hook. The broader job is being the technical face of LogRocket for engineers, building on a content platform that already has serious audience and earned authority. There's a real strategic problem to chew on here too. The classic developer blog model, high-volume SEO content for frontend frameworks, is getting squeezed by AI search and LLM-generated answers. The LogRocket blog has the audience, brand equity, and domain authority. The question is what it becomes next. Opinionated takes, deep technical investigations, content tied to a real product with proprietary data, video, podcast, community. That's part of the job.Responsibilities: • PodRocket end to end: editorial/guest strategy, prep, interviewing, direction. Sound engineering is external, video clips and YouTube production are handled by our video team. You drive the show., • The LogRocket blog's next chapter: editorial direction, the standard for what we publish, and the shift from pure SEO plays to content that compounds in an AI-search world., • Technical content across video, written, and code: tutorials, sample apps, walkthroughs, integration guides, posts on Galileo, session replay, and AI in dev workflows., • The feedback loop and developer community engagement between the developer community (both those using LogRocket and not) and our product and engineering teams., • Your own technical presence on YouTube, X, GitHub, wherever you already built. We expect you to grow your personal brand alongside LogRocket's, the way Lee Robinson did at Vercel. PodRocket, the blog, and LogRocket YouTube are home base. Your handles are yours.Qualifications:, • Strong engineering background. You've shipped real code in production, ideally across modern web stacks (React, Vue, Angular) and at least one backend (Node, Python, Go)., • A track record of technical content that engineers actually watch, read, or listen to. Portfolio matters more than credentials., • Comfort on camera and on mic. PodRocket is the immediate proof point but this role is going to be on video constantly., • Real interest in AI as a builder, not just a user. You've poked at MCP, you have opinions on agent design, you've shipped something AI-flavored that you're proud of., • Editorial instincts. You can own a calendar, set a quality bar, and decide what's worth publishing and what isn't., • Comfortable in a startup, comfortable working directly with founders and engineering leaders. The Setup:, • Boston preferred, NYC secondary, remote possible for the right person. If you're in Boston or NYC, plan on a couple days a week in office. Our video team is Boston-based., • Reports to VP Marketing with heavy daily collaboration with Engineering and our technical founders. Your success metrics are audience growth, content quality, and product engagement from developers., • Path to building a team if the thesis lands.Benefits & Perks, • Catered lunch and an impressive array of your favorite snacks (healthy AND non-healthy!), • Unlimited vacation policy, • Health, Dental, Vision benefits, 401k, commuter benefits, • Generous stock options, • Regular team outings and activities (from boat rides to paintball, we’ll try anything!)This range is intended to provide a guideline for our typical compensation and may be modified based on location or experience of our finalist candidate. This role is scoped at Sr. or Staff Engineer level depending on experience. LogRocket is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. LogRocket will consider sponsoring visas for applicants in the US that need work authorization.

Job DescriptionFollow your passion Are you looking to make a BIG impact? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission. Currently, we operate multiple elementary and middle schools in the Bronx and Upper Manhattan, and are opening three new elementary schools in Queens for the 2025-26 school year. We plan to grow and open 1-2 schools each year because children in every community deserve excellent, equitable education. Join our growing team today, and be a change agent for children. Our Network office is located at 401 W 218th St., New York, NY 10034. Our Network team follows a hybrid work schedule: we work in-person from our office on Tuesdays, Wednesdays, and Thursdays with optional remote days on Mondays and Fridays, if your team's scope of work permits. Deliver powerful results To achieve our vision, we are searching for a stellar Associate Director or Director of Operational Excellence with a Bachelor's Degree and 4-6 years of experience working in operations, in schools and/or managing projects for a schooling organization. The position title will be commensurate with candidate experience. In this role, you will be responsible for supporting all school operations work for our growing Pre-K through 8th grade school model. You are an excellent project manager with expertise in building strong operational systems. You'll work with a team of mission-driven, high-achieving, passionate colleagues to help Zeta succeed in its mission to build and sustain high-performing schools that forge thriving communities of lifelong learners, problem solvers, and innovators. As an Associate Director / Director of Operational Excellence, you will be responsible for: • Removing roadblocks and barriers for our Operations Teams through proactive problem-solving, • Project managing the operational components of specific network-wide initiatives in pursuit of operational excellence across our schools, • Leading the charge on piloting new, innovative systems across Zeta with the goal of creating scalable systems across our sites as our organization grows, • Creating strong, scalable, well-documented systems for a variety of other components of school operations, • Contributing to the leadership of the organization-wide Operations team, including leading trainings as requested and contributing to long-term planning for Zeta Operations, • Wearing multiple hats as a part of a lean start-up team, supporting the work of others on the team and taking on new projects and tasks as neededJoin our purpose-driven community Zeta teammates are lifelong learners who live with child-like joy and a deep sense of purpose. We disrupt the status quo and tackle problems together. Our team stands united by our commitment to a limitless future for every child. Our Zeta team is comprised of top talent with incredible schooling and private sector experience. At Zeta: • We are passionate about our mission of providing world-class education to all students, • We bring a mindset of growth, flexibility, and openness to feedback, • We are hungry and determined to not only meet our goals, but surpass them, • We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment, • We have a high bar for excellence and sweat over the details, • We are caring and put team over individual at all times We are accepting applications on a rolling basis. The salary range for this position is between $100,000 and $145,000. New hires can expect to be brought into the organization at a salary at or near the start of the range, depending on relevant experience and internal equity. Compensation is based on our salary scales. This position at the Manager level and above is eligible to receive an annual discretionary, merit-based performance bonus. How does Zeta invest in you? We offer great benefits: • Comprehensive and affordable medical, dental, and vision plans, • Flexible spending accounts for eligible medical purchases and commuter expenses, • 403(b) retirement plan; Zeta offers matching contributions toward your savings, • Competitive compensation We provide awesome perks: • Monthly stipend for wellness and lifestyle expenses (Gym memberships, salon appointments, concerts – it's up to you!), • 4 live therapy sessions per month through Talkspace, and a free Headspace subscription, • MacBook Air, and specified monthly reimbursement for use of mobile phone, • Fully stocked teacher workrooms with favorite snacks and Nespresso machine, • Zeta swag, team outings, and NYC's finest sweet treats, • Books for professional development We care deeply about your personal and professional growth: • Clear pathway to professional growth, • Consistent feedback and support from managers and teammates, • Community Circle practice to build and strengthen our sense of team, • Interactive Mindfulness and DEIJ programmingApply Now! Equity is at the heart of our mission. We have a deep commitment to pursuing diversity and striving for equity. Zeta is an equal opportunity employer. Candidates of all backgrounds are encouraged to apply. Work authorization is required (candidate must have permanent authorization to work in the U.S.).

Job DescriptionAbout Fractional AI How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages? Fractional AI is focused on putting frontier AI to work. We’re a group of veteran Silicon Valley builders who care deeply about getting complex AI systems built right, with strong conviction about what makes them succeed. We're backed by Anthropic, Blackstone, Hellman & Friedman, Goldman Sachs, General Atlantic, Leonard Green & Partners, Apollo Global Management, GIC, and Sequoia Capital. We're headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai. The Role The fastest way to learn how AI will reshape businesses is to go inside and analyze dozens of them. As an Associate Principal, you will be the intellectual core of our AI due diligence practice: assessing disruption risk and value creation opportunities across industries, interviewing management teams, and presenting findings to PE clients. In a given quarter you’ll see inside 4-5 companies and develop pattern recognition that no other role in the market can offer. That exposure is the best preparation to become a Fractional AI Principal - the person PE firms call first when they want AI advice for their portfolio companies. Between diligences, you’ll work alongside our Principals on live deals, proposals, and PE relationship building. Within 6-12 months, you’ll be expected to start leading your own deal pursuits. This is not a quota-carrying role, but is designed to grow into one. What You'll Do Lead diligences end-to-end. You are 100% dedicated to each engagement while the Principal and AI Architect are splitting time across deals and accounts. That means you are the connective tissue: you keep the POV sharp, prep the team before every interview, and make sure the Principal walks into a client readout fully armed. You own the day-to-day across desk research, POV generation, interviews, management meetings, and deliverables Support live deals and account management. You will work alongside Principals on active sales processes: participating in discovery calls, shaping proposals, and helping manage existing customer relationships Build your private equity network. Through diligences and deal support, you will build relationships with investors and portfolio company executives Be a high-utility player. As an early-stage company, the work extends beyond diligence. You may support adjacent work streams like partnership development, conference strategy, or internal tooling and process improvement What You Bring AI-native: you are genuinely interested in AI and have a working understanding of what generative AI can and can't do. You don't need to be an engineer, but you need to be credible in a room with one Strong analytical horsepower: you can quickly ramp up on an unfamiliar industry, identify what matters, and form a defensible point of view. With experience, you will quickly pattern match new project context to previous ones to accelerate time-to-value for clients Relationship-building instinct: you naturally build rapport with senior stakeholders and are energized (not drained) by client-facing work. You don’t need a sales background, but need to want one Excellent communication skills, written and verbal: you can translate technical AI concepts into business language that resonates with PE deal teams Comfort with ambiguity and high ownership: the diligence window is tight (2-4 weeks), and you'll need to drive the work forward without waiting to be told what to do Low ego, high resourcefulness: you are both a doer and a strategist 5-8 years of experience in strategy consulting and/or early stage tech sales experience. Bonus: private equity, investment banking 3 Months Snapshot You have participated in 3-5 diligences alongside our Principals and AI Architects, progressing from supporting role to execution lead You are independently driving POV generation, interview prep, and deliverable drafting on active engagements You have participated in live sales or account management conversations alongside a Principal, and are starting to understand how we scope, price, and position our work You've identified at least one area where you can improve how we operate (process, tooling, templates) and have started making it better Our Values Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team. Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier. Over "engineer" the culture: For every big decision, we ask “would this make Fractional a better or worse place for our team?” Location San Francisco, CA New York City, NY Work Arrangement: 4 days in-person, Fridays remote Benefits 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. 📈 401k with Matching: Invest in your future with our company-matched retirement plan. 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. 🚑 Health FSA: Manage out-of-pocket health expenses effectively. 🚌 Commuter Benefits: Make your travel to work easier and more affordable. 🏥 Life Insurance: Providing peace of mind for you and your loved ones. 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us? Compensation Range: $200K - $275K

Job Description Staff Product Manager, AI PlatformThe Opportunity: Define the Future of Agentic AI in the Enterprise Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture. By revealing intent across voice, SMS, and digital channels, Invoca helps enterprises drive better customer experiences, increase revenue, and operate with confidence at scale. We are a fast-growing company defined by a strong product culture, deep technical ambition, and a commitment to building AI systems that are reliable, transparent, and outcome-driven. Join us to build the core intelligence layer for one of the most innovative enterprise platforms in the market.Build the Foundation for Agentic AI at Scale Invoca is building a shared AI Platform that powers every AI-driven product and every agentic experience we continue to deliver. This foundational platform is the execution layer behind Voice AI, SMS Agents, Signals, Scoring, and emerging copilots. This is a rare and critical opportunity to define how agentic AI actually runs in production inside an enterprise SaaS company. You will own the execution layer—from orchestration and context to governance, evaluation, and developer experience. Your work will determine not just what Invoca's AI can do, but how safely, consistently, and efficiently it does it at scale.The AI Platform Team The AI Platform team builds the shared systems that empower product teams across Invoca to ship AI-powered experiences with confidence. We operate at the intersection of infrastructure, applied AI, and product design, focusing on: • Agent execution and orchestration, • Context management and grounding, • Evaluation, observability, and quality control, • Governance, safety, and multi-tenant isolation, • Developer and product experiences that scale across teams Our success is measured by the leverage we create: how many teams can build on the platform, how safely they can innovate, and how quickly high-quality AI experiences reach customers.Your Role and Impact As a Staff Product Manager, AI Platform, you will own the product vision and roadmap for Invoca's agentic AI platform—the foundational layer that runs, governs, and evolves AI agents across channels and products. This role requires deep technical judgment and a strong systems mindset. You will focus on the architectural and experience boundaries of the platform, not just a single AI feature or agent. You will operate as a senior individual contributor reporting to the VP of Product, with broad influence across engineering, data, security, and product teams. Success requires strong systems thinking, platform judgment, and the ability to balance cutting-edge innovation with enterprise-grade trust.What You'll Be Doing (Key Responsibilities) • Drive Strategy: Own the end-to-end product strategy and roadmap for Invoca's AI Platform, aligning technical foundations with company-level AI principles around reliability, safety, and measurable outcomes., • Define Execution: Establish how AI agents execute in production, including orchestration patterns, tool invocation semantics, context handling, and behavior across asynchronous and real-time environments., • Architect Contracts: Establish clear, durable platform contracts—APIs, configuration schemas, versioned artifacts—that make agent behavior portable, governable, and scalable across products and channels., • Partner for Scale: Collaborate deeply with AI engineering and data teams to translate agentic patterns into reliable systems, making principled tradeoffs across reasoning quality, latency, cost, and operational complexity., • Enable Adoption: Drive standardization through paved roads, golden paths, SDKs, and shared components that reduce bespoke implementations and accelerate internal adoption., • Enforce Quality: Define and enforce platform-level quality, safety, and governance mechanisms, including evaluation workflows, promotion gates, observability, Role-Based Access Control (RBAC), and auditability., • Shape Experience: Shape the developer and product experience for building, testing, debugging, and operating AI agents, ensuring the platform is intuitive, debuggable, and trusted by internal teams., • Guide Evolution: Guide the evolution from an internal platform to a product-grade system, informing customer-facing configuration and studio experiences without compromising guardrails, privacy, or reliability., • Make Build/Buy Decisions: Evaluate build vs. buy decisions for foundational AI infrastructure and guide vendor integrations behind stable, well-defined platform contracts., • Measure Success: Define success metrics for the AI Platform and continuously measure impact through adoption, reuse, quality, performance, and cost efficiency., • Stay Current: Stay current on advancements in agentic AI, orchestration frameworks, and evaluation best practices, translating signal into pragmatic product decisions rather than chasing hype. What You'll Bring (Core Qualifications) • Experience: 8+ years of product management experience, with meaningful time spent building platforms, infrastructure, or developer-facing products used by other teams., • Technical Foundation: Background in engineering, computer science, or equivalent hands-on experience building and operating complex software systems., • System Knowledge: Strong systems-level understanding of AI-powered and distributed systems, including LLM-based agents, multi-step workflows, retrieval, and tool calling—sufficient to reason about execution models and failure modes without writing production code., • Contract Definition: Demonstrated experience defining and scaling platform contracts, including APIs, configuration models, versioning strategies, and lifecycle management., • Governance & Standards: Proven ability to introduce standards, governance, and quality controls in ways that accelerate product velocity rather than constrain it., • Quality Focus: Deep appreciation for evaluation, observability, and regression testing as first-class requirements for AI systems., • Enterprise Awareness: Experience operating in enterprise, multi-tenant environments where privacy, security, compliance, and auditability are core design constraints., • Developer Empathy: Strong instincts for developer experience, including the use of golden paths, tooling, and defaults to drive adoption and reduce fragmentation., • Tradeoff Mastery: Track record of making hard tradeoffs across latency, cost, quality, and reliability in complex, distributed systems., • Influence: Exceptional communication and influence skills, with the ability to align engineering, data science, product, and Go-To-Market (GTM) stakeholders around shared platform goals. Desirable, But Not Required • Experience with agentic AI frameworks (e.g., LangChain, LangGraph, ReAct-style systems) or standardized tool invocation models (e.g., MCP)., • Familiarity with real-time systems such as voice, streaming, or low-latency inference., • Background in enterprise SaaS or compliance-heavy domains. Location & Inclusion • Location: This role is remote and open to candidates located in the United States and Canada only. While visa sponsorship is not available, transfers will be considered., • Diversity, Equity & Inclusion: Invoca is committed to building an inclusive culture that values diverse perspectives and experiences. We are proud to be an equal opportunity employer and do not discriminate based on race, color, ancestry, religion, gender identity, sexual orientation, age, or disability. 📍 Location This is a remote-first role. We are currently hiring in the following locations: 📍 United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area Canada: Toronto (AI/ML technical roles only) Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. Salary, Benefits & Perks: At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include: Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations. • Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed., • Paid Holidays – Invoca provides 16 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family., • Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options so you can choose what works best for you and your family. Fertility assistance is also included., • Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%., • Stock Options – All employees are invited to share in Invoca's success through stock options., • Mental Health Program– Well-being support on a broad range of issues is available through our SpringHealth program., • Paid Family Leave – Up to 12 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members., • Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs., • InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service., • Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more., • Position Base Range - Salary Range $140,000-$208,000 / plus bonus potentialDEI Statement We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. #LI-Remote

Job DescriptionBenefits: • Bonus based on performance, • Competitive salary, • Flexible schedule, • Opportunity for advancement, • Paid time off, • Training & development, • 401(k), • Dental insurance, • Health insurance, • Vision insurance Majority of this role will be remote. May be required to come into the office (Edison,NJ) between 2-4 times monthly depending on need. ROLE DESCRIPTION: As Account Manager - State Farm Agent Team Member for Gilma Escobar - State Farm Agent, you are vital to our daily business operations and customers success. You grow our agency through meaningful customer relations and acting as a liaison between customer needs and agency departments. You improve the lives of our customers by proactively marketing relevant products and services. Grow your career as you better your community. As an attentive, sociable, and sales-minded professional, we are eager to have you on our team. RESPONSIBILITIES: • Develop and maintain customer relationships to drive retention and growth., • Conduct policy reviews and provide recommendations to customers., • Oversee the resolution of complex customer issues., • Use your knowledge of our insurance products to recommend, explain and sell policies to both cold and warm leads.QUALIFICATIONS:, • Experience in insurance sales or account management preferred., • Leadership and interpersonal skills., • Proven track record of meeting sales targets., • Willingness to engage in sales conversations. Flexible work from home options available.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Regulatory Law Expert Type: Contract Compensation: $1,750–$2,150 per completed task Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use daily, including rule comment letters, regulatory-change analyses, and compliance memos., • Design multi-step tasks based on real workflows, such as regulatory-change analysis and enforcement defense, that challenge frontier AI agents., • Collaborate with other regulatory attorneys to design environments, shape task scope, and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for regulatory-law agent benchmarks., • Contribute to frontier AI research and benchmarking, directly informing how leading labs train and evaluate the next generation of AI systems. Qualifications Must-Have • JD and active bar admission, • 3+ years of full-time regulatory experience at an AmLaw 100 firm or Fortune 500 in-house regulatory/compliance team, • Background in areas such as financial-services regulation, healthcare regulation, energy regulation, telecom/tech regulation, or environmental/consumer-product/food-and-drug regulation, • Day-to-day use of Westlaw/LexisNexis, Refinitiv World-Check/Dow Jones Risk & Compliance, and CUBE, • Strong analytical thinking and writing skills Compensation & Legal • Task Completion Pay: Competitive and based on task quality (~$1,750 – $2,150 per completed task, subject to change as the project evolves), • Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate, • Hourly Opportunity: Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Medical Devices Expert Type: Contract Compensation: $1,150–$1,450/task Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use daily. Include design history files, regulatory submissions, DHF/DMR documents, risk-analysis matrices, validation protocols, CAPA records, and email threads., • Design multi-step tasks grounded in real workflows. Require navigating multiple apps, files, and stakeholders to challenge frontier AI agents., • Collaborate with other medical-device experts to design the environment, shape task scope, and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for medical-device agent benchmarks., • Contribute to frontier AI research and benchmarking. Your work directly informs how leading labs train and evaluate the next generation of AI systems. Qualifications Must-Have • 3+ years of full-time experience at a Fortune 500 medical-device manufacturer or large Tier-1 contract developer/manufacturer., • Background in regulatory affairs, quality engineering, R&D, manufacturing engineering, or clinical affairs., • Day-to-day use of ANSYS Fluent, Siemens Opcenter, or DocuSign., • Strong analytical thinking and writing skills. Preferred • Certifications: RAC, ASQ CQE/CRE/CBA. Compensation & Legal • Task Completion Pay: Competitive and based on task quality (~$1,150–$1,450 per completed task)., • Performance Bonus: Top performers receive a weekly bonus incentive., • Hourly Opportunity: Top performers may transition to an hourly compensation model. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionAbout Fractional AI How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages? Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand. Our clients include Zapier, Airbyte, and companies from industries ranging from data infrastructure to healthcare and life sciences. We were founded by repeat founders Chris Taylor, Eddie Siegel, and Travis May (Founder of Datavant, $7B exit), and are backed by Shaper Capital. Most of our engineers are former founders or staff engineers from top tech companies like Google and Stripe. We're headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai. About Bringing Your Own Engineering Team Some teams are just too good to break up. Maybe you co-founded a venture that's pivoting, maybe your team got caught in a reduction in force, or maybe you're looking for the next thing to build together. We already work in small pods: tight-knit teams of engineers working on a single project together. Joining Fractional is a natural way to keep your team intact and shift your focus to building for clients with instant product-market fit. If you're part of an existing team of 2–5 engineers, we encourage you to apply to join Fractional AI together. How It Works One interview process. We'll arrange your interviews on the same day, with the same panel, against the same bar we hold every Fractional engineer to. One offer. If we decide to move forward, we'll make offers to your whole team at the same time. You're each free to accept or decline individually — though we hope you'll all say yes. One first project. We'll work to staff you on an engagement together. BYOT In Practice: Fabius In 2026, we were introduced to the Fabius team — a Y Combinator (W23) startup that had spent three years building AI to automate sales workflows. They had a track record of building complex AI systems, and they'd spent considerable time perfecting the craft of partnering closely with customers to make sure their solutions delivered results. The more we talked, the more we saw a team whose strengths mapped almost exactly to what we hire for. For Fabius, joining Fractional was a natural way to focus on what they were best at — building AI-powered products — while staying together as a team. "I was surprised how much autonomy Fractional expected us to keep. Suddenly we had very interested, very motivated clients — and the same hard technical problems we used to grind through at Fabius. " — Neil Madsen, Fabius Co-founder "When we spoke with Eddie and Chris, it felt like a bunch of founders hanging out. There was a certain expectation that the team itself was an asset, and Fractional was specifically interested in protecting the way we were working together, rather than figuring out how to make everyone play a narrow role." - Andy Day, Fabius Co-founder Who We hire We generally expect your team to fall into the categories of one of our existing engineering and PM roles — most commonly Software Engineer, Senior/Staff Software Engineer or Forward Deployed PM. Take a look at those JDs to see what we look for at the individual level. We evaluate teams holistically on top of that, but we expect every team member to clear a similar bar as all other Fractional team members. Software Engineer Senior / Staff Software Engineer Forward Deployed Product Manager Principal, AI Value Creation and Partnerships Our Engineering Philosophy We're opinionated about what works in production, and we write about it — from why most eval setups fail by collapsing everything into a single score, to why defaulting to chat interfaces limits AI's impact. We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over. After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI. How Fractional Is Different A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else. Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our team thinks. Our Values Overdeliver. We're writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world's best applied AI team. Overuse AI. We go out of our way to experiment with the latest tools and share what we learn with our teammates — building a culture at the frontier. Over-engineer the culture. For every big decision, we ask "would this make Fractional a better or worse place for our team?" Location San Francisco, CA New York, NY Work arrangement: 4 days in-person, Fridays remote. Benefits 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. 📈 401k with Matching: Invest in your future with our company-matched retirement plan. 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. 🚑 Health FSA: Manage out-of-pocket health expenses effectively. 🚌 Commuter Benefits: Make your travel to work easier and more affordable. 🏥 Life Insurance: Providing peace of mind for you and your loved ones. 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us?

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.About the Team CoreWeave is The Essential Cloud for AI™ — the infrastructure that the world's leading AI labs, researchers, and enterprises depend on. The Developer Experience (DevEx) team owns the platform, services, and systems that enable every engineer at CoreWeave to build and ship software faster, more safely, and with greater confidence. Our scope spans the full developer lifecycle: CI (continuous integration) and build infrastructure, test experience, delivery systems, artifact storage and distribution, internal developer platforms, and the agentic AI tooling that is redefining how engineers move from idea to production. This is a role for a technical leader who operates across team boundaries. You'll own the hardest problems in developer productivity at CoreWeave, by setting the technical strategy for DevEx, removing systemic friction across the engineering org, and shaping the agentic developer platform that will define how engineers build software here for years to come. What You'll Do • Define and drive the technical strategy for the DevEx platform. Set the long-term architectural direction across CI pipeline infrastructure, test experience, delivery systems, artifact management, and agentic developer tooling, balancing engineering excellence with business priorities and org-wide scale., • Solve the highest-complexity developer productivity problems at CoreWeave. Identify systemic bottlenecks that span teams, design solutions that operate reliably across 40+ data centers, and drive execution from architecture through production., • Lead the agentic developer platform from a technical standpoint. Evolve the architecture of MCP servers, tool integration, and agent-accessible DevEx APIs so that autonomous workflows become a first-class primitive for every engineer at CoreWeave., • Drive cross-team technical initiatives. Work across DevEx, infrastructure, security, SRE, and product engineering to align on platform direction, resolve deep architectural trade-offs, and establish engineering standards that raise the bar org-wide., • Mentor and develop Senior II engineers. Actively coach ICs, elevate technical decision-making across the team, and build the engineering depth needed to sustain DevEx as CoreWeave scales., • Proactively reduce systemic risk. Identify technical debt and reliability gaps before they become incidents, and drive durable improvements to platform resilience, efficiency, and developer trust.What We're Looking For, • 10+ years of software engineering experience with significant time spent building and owning production developer platforms, build infrastructure, or large-scale distributed systems., • Demonstrated ability to define and execute multi-year technical strategies across complex, cross-team domains., • Deep systems design expertise. You design for correctness, scalability, and long-term maintainability. You have strong opinions on API design, service architecture, and platform abstractions, and you can articulate why., • Proficiency in Go, Python, or similar languages with a track record of shipping large-scale production services in cloud-native environments., • Expertise in Kubernetes and IaaC (Infrastructure as Code) at the platform design level. You understand the scheduler, the API machinery, and the extension points., • Experience with or strong leadership interest in AI-native developer tooling, including agentic frameworks, LLM-integrated developer workflows, or autonomous software development agents., • Proven ability to influence technical decisions at the organization level, build alignment across teams with competing priorities, and communicate clearly with engineering leadership., • A track record of growing senior engineers and building technical strength in the teams around you. You are an inspiring leader.Nice to Have, • Deep expertise in one or more DevEx domains, including large-scale CI, build and test systems (Bazel, Buildkite, remote execution, caching), deployment (GitOps, ArgoCD), artifact storage and distribution, or ephemeral development environment infrastructure., • Hands-on experience designing and operating progressive delivery systems at scale, including SLO-based quality gates, automated multi-stage pipeline orchestration, and custom Kubernetes operators, across heterogeneous deployment environments., • Experience architecting and landing agentic systems at scale, including designing MCP servers, agent governance models, or tool-augmented LLM workflows that operate reliably in production with consistent user-facing value-add., • Prior experience as a technical lead or system architect on a platform or infrastructure team with broad engineering org impact. The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description My client is an early-stage AI startup that recently closed a Series A round with over $10M in total funding raised. They are building agentic AI agents transforming how real estate operators handle communications across sales, support, and operations. Revenue has grown rapidly over the past year, and the engineering team is scaling meaningfully heading into the next phase. This is a chance to join a small, high-caliber engineering team and ship a product that is already autonomously handling the majority of client support interactions today. What You Will Do • Owning and shipping major features across the full stack (backend-leaning) for an omnichannel AI agent platform spanning email, SMS, WhatsApp, web chat, and voice, • Making key architecture and infrastructure decisions, writing design decision records, and evaluating tradeoffs to build scalable systems on AWS, • Working directly with the CTO and founders to shape product direction and technical strategy in fast, weekly development cycles, • Pair programming and building with AI coding tools (Cursor, Claude Code) as a core part of your daily workflow, • Contributing across the stack as priorities shift weekly based on what matters most to the business, • Helping shape engineering culture and practices as the team grows What You Bring • 7+ years of production software engineering experience as a strong individual contributor who wants to build, not manage, • Deep production experience with Python as a primary backend language, • Proficiency with AI coding tools such as Cursor, Claude Code, or Copilot, with a track record of integrating LLMs into production systems, • Backend-leaning full-stack mindset, with the ability to understand product, infrastructure, and business context, • Experience at recognizable companies (top Big Tech, well-known B2B SaaS startups) or a strong founder/CTO background, • Comfort with ambiguity and shifting priorities in a fast-moving startup environment Bonus Points • Prior founder or CTO experience now returning to an IC role, • TypeScript and React exposure on the frontend, • Background in B2B SaaS, proptech, or conversational/voice AI, • Top-tier university degree or equivalent practical experience Why Join • Competitive salary, and equity at a Series A valuation, • Direct partnership with the CTO and founders, with real influence on product direction and technical strategy, • A lean, high-performing team with engineers from top Big Tech and well-known startups, • A product with demonstrated traction, autonomously handling the majority of client support interactions today, • Strong growth momentum heading into the next stage of scale Logistics • Location: New York City, • Hybrid schedule, with 2-3 days per week in office. Remote may be negotiable for exceptional candidates., • Visa sponsorship is not available for this role, • Full-time Equal Opportunity Statement My client is an equal opportunity employer. They celebrate diversity and are committed to building an inclusive team. They encourage candidates of all backgrounds to apply, and do not discriminate on the basis of race, color, religion, gender identity, sexual orientation, age, disability, national origin, or any other protected characteristic.

Job DescriptionFollow your passion Are you looking to make a BIG impact? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission. Currently, we operate multiple elementary and middle schools in the Bronx, Upper Manhattan, and Queens. We plan to grow and open 1-2 schools each year because children in every community deserve excellent, equitable education. Join our growing team today, and be a change agent for children. Our Network Office for Academic Excellence and School Excellence teams is located at 425 Westchester Ave., Bronx, NY 10455. In this role, you can expect to work in person most days, including Tuesdays and Thursdays, as well as other days of the week when your work requires it. Depending on the role, team members may have optional remote days on Mondays, Wednesdays, and Friday, as permitted, along with remote flexibility during academic calendar breaks when school is not in session. Deliver powerful results To achieve our vision, we are searching for an Associate Director of Pre-K with a Bachelor's Degree and at least 5 years of experience with a proven track record of leading exceptional academic outcomes in early childhood education as a School Leader. Responsibilities: • Pre-K Vision and Strategy: Design a rigorous and joyful project-based learning experience for our students rooted play, investigation, and learning how to collaborate and communicate., • Ensure a Safe Learning Environment: Develop systems and strategy to ensure the physical, emotional, and psychological safety of all Pre-K students at all times., • Achieve Annual Academic Goals: Lead the Pre-K program with a high bar of excellence to meet rigorous annual goals and ensure all students are fully prepared for Kindergarten and meet Zeta Kindergarten readiness standards., • Collaboration and Problem Solving: Develop authentic relationships across Zeta to collaborate effectively to support growth in service of student learning and view every challenge as an opportunity for root cause analysis and change., • Curriculum and Assessment Management: Manage Pre-K curriculum including unit plans, lesson plans, and assessments. Ensure a coherent sequence of learning through unit and lesson plans grounded in critical thinking., • Professional Learning: Design and lead early childhood professional learning trainings for school principals, assistant principals, and teachers to lead excellent academic and environmental results., • Data Analysis: Study data to identify gaps and take action to ensure leaders and teachers are using data to increase learning outcomes., • Instructional Management: Develop clear instructional management plans to ensure all early childhood instruction is consistently implemented with excellence. Observe instruction across Zeta schools and develop leaders and teachers in service of ensuring programming is implemented at a high level to lead exceptional academic outcomes., • Feedback Driven: Embrace a growth mindset. Actively seek, provide, and incorporate feedback, while fostering a culture of continuous improvement and collaboration., • Wear multiple hats as a part of a lean scale-up team, supporting the work of others on the team and taking on new projects and tasks as neededJoin our purpose-driven community Zeta teammates are lifelong learners who live with child-like joy and a deep sense of purpose. We disrupt the status quo and tackle problems together. Our team stands united by our commitment to a limitless future for every child. Our Zeta team is comprised of top talent with incredible schooling and private sector experience. At Zeta: • We are passionate about our mission of providing world-class education to all students, • We bring a mindset of growth, flexibility, and openness to feedback, • We are hungry and determined to not only meet our goals, but surpass them, • We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment, • We have a high bar for excellence and sweat over the details, • We are caring and put team over individual at all times We are hiring for an immediate opening. The salary range for this position is between $90,000 to $110,000. New hires can expect to be brought into the organization at a salary at or near the start of the range, depending on relevant educational leadership experience and internal equity. This position is eligible to receive an annual discretionary, merit-based performance bonus. How does Zeta invest in you? We offer great benefits: • Comprehensive and affordable medical, dental, and vision plans, • Flexible spending accounts for eligible medical purchases and commuter expenses, • 403(b) retirement plan; Zeta offers matching contributions toward your savings, • Competitive compensation We provide awesome perks: • Monthly stipend for wellness and lifestyle expenses (gym memberships, salon appointments, concerts – it's up to you!), • 4 live therapy sessions per month through Talkspace and free Headspace subscription, • MacBook Air and specified monthly reimbursement for use of a mobile phone, • Fully stocked teacher workrooms with favorite snacks and Nespresso machine, • Zeta swag, team outings, and NYC's finest sweet treats, • Books for professional development We care deeply about your personal and professional growth: • Clear pathway to professional growth, • Consistent feedback and support from managers and teammates, • Community Circle practice to build and strengthen our sense of team, • Interactive Mindfulness and DEIJ programmingApply Now! Equity is at the heart of our mission. We have a deep commitment to pursuing diversity and striving for equity. Zeta is an equal opportunity employer. Candidates of all backgrounds are encouraged to apply. Work authorization is required (candidate must have permanent authorization to work in the U.S.).

Job Description Capgemini, a global leader in digital transformation and insurance technology consulting, is seeking a Guidewire Jutro Specialist to drive innovative digital experience solutions for top-tier insurers. This role focuses on leveraging Guidewire Jutro, a next-generation digital experience framework, to create modern, responsive, and cloud-native applications for policyholders, agents, and insurers. As a key technical expert, you will design and implement scalable UI components, micro frontends, and API-driven solutions that integrate seamlessly with Guidewire PolicyCenter, BillingCenter, and ClaimCenter. You will work closely with business, design, and technology teams to deliver omnichannel, headless, and microservices-based digital experiences. Responsibilities include customizing Jutro UI components, optimizing front-end performance, ensuring API-first architecture, and enabling Agile/DevOps-driven deployments. The ideal candidate has 3+ years of experience in Guidewire Jutro and Digital, strong front-end development skills in React, Angular, JavaScript, TypeScript, and GraphQL, and expertise in cloud platforms (AWS, Azure, GCP). Preferred candidates hold Guidewire Digital Certifications, have experience with CI/CD pipelines, Kubernetes, and DevOps methodologies, and understand P&C insurance digital customer journeys. This role offers an exciting opportunity to work on cutting-edge digital insurance engagements, modernizing customer experiences and self-service portals for global insurers. Join Capgemini’s industry-leading team to shape the future of insurance technology through innovation, InsurTech collaboration, and cloud-native digital solutions. Job Details: Capgemini is a global leader in technology consulting, digital transformation, and innovation. We collaborate with top-tier insurers to drive the modernization of core platforms, customer experience enhancements, and digital transformation initiatives. Our expertise in Guidewire solutions enables insurers to optimize operations, accelerate product development, and create seamless digital experiences. About the Role: We are seeking a Guidewire Jutro Specialist to work on innovative digital transformation engagements with leading insurers. This role requires expertise in Guidewire Jutro, the next-generation digital experience framework, to design and implement modern, scalable, and intuitive customer-facing applications. You will collaborate with business, technology, and design teams to create responsive, cloud-native, and API-driven experiences that enhance policyholder interactions across web and mobile platforms. Key Responsibilities: Guidewire Jutro Implementation & Digital Experience Design • Lead the design, development, and customization of digital applications using Guidewire Jutro., • Create modern, responsive UI/UX components for seamless policyholder and agent interactions., • Ensure API-first architecture and integration with Guidewire Cloud, Guidewire Digital, and third-party InsurTech solutions., • Implement headless and microservices-based digital experiences, enabling insurers to deliver innovative customer journeys. Technical Architecture & Development • Architect and build reusable UI components, widgets, and micro frontends in Jutro., • Collaborate with backend developers to integrate Guidewire PolicyCenter, BillingCenter, and ClaimCenter APIs., • Utilize React, JavaScript, TypeScript, and GraphQL to enhance digital insurance platforms., • Optimize application performance, security, and accessibility across multiple devices and browsers. Consulting & Client Engagement • Partner with business and design teams to understand customer needs and translate them into intuitive digital solutions., • Advise clients on best practices for Jutro adoption, cloud enablement, and omnichannel customer experiences., • Deliver technical demonstrations, proof of concepts, and roadmaps for insurers looking to modernize their digital platforms. Agile & DevOps Enablement • Work within Agile/Scrum teams to deliver iterative and scalable digital solutions., • Utilize CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native architectures for deployment., • Ensure test-driven development (TDD) and automated testing for seamless application performance. Requirements Technical Expertise: • 3+ years of experience with Guidewire Jutro and Guidewire Digital solutions., • Strong proficiency in React, JavaScript, TypeScript, GraphQL, and front-end frameworks., • Experience integrating Guidewire’s PolicyCenter, BillingCenter, and ClaimCenter through APIs., • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and microservices architecture., • Understanding of headless CMS, API gateways, and customer identity & access management (CIAM). Consulting & Insurance Industry Knowledge: • Experience working with top-tier insurers on digital transformation projects., • Strong understanding of P&C insurance products, underwriting, claims, and digital customer journeys., • Ability to translate business requirements into scalable digital experiences. Preferred Certifications & Tools: • Guidewire Certified Specialist – Jutro/Digital (Preferred)., • Cloud Certifications (AWS/Azure/GCP) are a plus., • Experience with CI/CD pipelines, Docker, Kubernetes, and DevOps best practices. Benefits This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally renowned group, • Private Health Insurance, • Retirement Plans, • Paid Time Off, • Training & Development About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55+ year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported €22.5 billion in revenues in 2023. https://www.capgemini.com/us-en/about-us/who-we-are/

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — AI & Data Science Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning., • Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth., • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality., • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background., • Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills and the ability to explain technical decisions clearly. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: ML Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities • Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks., • Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications., • Identify bugs, edge cases, performance issues, and failure modes in AI models., • Compare outputs from multiple frontier models and assess their strengths and weaknesses., • Apply professional engineering judgment to realistic ML engineering scenarios. Qualifications Must-Have • 2+ years of professional machine learning engineering experience., • Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products., • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools., • Ability to evaluate model-generated machine learning implementations and technical tradeoffs. Preferred • Experience deploying ML systems to production. Compensation & Legal • $400 per accepted task, • Compensation is tied to accepted work. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Backend Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities • Use frontier AI coding agents to complete and evaluate complex engineering tasks., • Review model-generated code for correctness, quality, maintainability, and performance., • Identify bugs, edge cases, and failure modes in model outputs., • Compare outputs from multiple frontier models and assess their strengths and weaknesses., • Apply professional engineering judgment to realistic backend engineering scenarios., • Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications Must-Have • 2+ years of professional backend engineering experience., • Experience building APIs, distributed systems, microservices, backend platforms, or databases., • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools., • Ability to evaluate model-generated code and identify bugs, edge cases, and architectural tradeoffs. Preferred • Experience working on large-scale production systems. Compensation & Legal • $400 per accepted task., • Typical tasks take approximately 1–3 hours after ramp-up., • No fixed task limits., • Compensation is tied to accepted work. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionCareer Renew is recruiting for one of its clients a DevOps / Infrastructure Engineer - Trading - this is a fully remote role for candidates based in the US EST timezone. Salary range: 100-130K USD plus benefits. We're launching Personal Agents — managed AI trading agents that run on our infrastructure, one per user, around the clock. We need someone to own the deployment, networking, and reliability of the fleet from day one. What you'll do Run and scale the agent fleet on Railway + AWS— each user gets an isolated agent process, with predictable cost and clean lifecycle. Stand up Tailscale-based private networking between user agents, our MCP servers, and the trading runtime. Build the per-user deploy pipeline (containers, secrets, env config) so onboarding a new agent is one click for the user, zero-touch for us. Own monitoring, alerting, and on-call for the live fleet — including graceful behavior on host restarts, key rotation, and partial outages so we never lose in-flight trade state. Must have Production experience with Railway (or equivalent container PaaS — Fly, Render, Northflank). AWS at depth — VPC, IAM, Secrets Manager, ECS / Lambda as needed. Tailscalein production — ACLs, subnet routing, ephemeral nodes. Strong with Docker, CI/CD, and infra-as-code. Comfortable with on-call and real-incident response. Blockchain/onchain experience Financial-grade reliability background (every minute of downtime is real PnL). Very Nice to have Experience deploying LLM / AI agents at scale. Hyperliquid or trading-systems context.