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Title: Principal Product Manager Location: San Francisco, CA (hybrid) Our Intelligence Platform powers the AI-driven experiences that millions of customers interact with every day across digital and voice channels. We are building the next generation of customer-facing AI agents that can do more than follow scripts. They need to understand context, reason through problems, and take action on behalf of customers. The platform also includes our Agent Marketplace, a composable library of production-ready AI skills that accelerates how quickly we can stand up new AI-powered programs. This is one of the highest-impact product areas in the company, and we are looking for someone who wants to help shape it. This work will deliver on Asurion’s promise to deliver the highest level of technology care across consumers technology lifecycle. As a Principal Product Manager you will join the Intelligence Platform team and own the strategy, development, and performance of our customer-facing AI agents and our Agent Marketplace. You will sit at the intersection of product management and data science, focused on building AI-powered experiences across the full lifecycle care journey while driving the composable platform that makes every AI investment reusable across the organization. You will partner directly with our Data Science team to advance the capabilities of our AI agents, working alongside Engineering, Design, Care Operations, and business stakeholders. This is a hands-on product role where you will shape how our AI agents interact with customers, help move us toward a more agentic approach where AI can reason, plan, and act on behalf of customers, and drive the marketplace strategy that accelerates delivery of new AI-powered programs from weeks to days. Key Responsibilities: AI Agent Strategy & Roadmap • Own the product vision, strategy, and roadmap for customer-facing AI agents across digital (chat, messaging, app) and voice (IVR, voice assistant) channels., • Proactively shape the roadmap to move from scripted automation toward agentic experiences that can reason, plan, and take action, improving resolution rates and reducing customer effort., • Define and track success metrics that tie AI agent performance to measurable outcomes: resolution rate, customer satisfaction, containment, handle time reduction, and self-service coverage., • Evaluate emerging AI capabilities (large language models, multi-modal AI, tool use, memory, retrieval-augmented generation) and make clear recommendations on what to adopt and when., • Understand the pulse of the business and anticipate what our AI agents need to do next, not just what they do today. Data Science Partnership • Serve as the primary product partner to the Data Science team, co-developing the AI capabilities that power our customer-facing agents., • Translate business needs and customer pain points into clear problem statements that data scientists can build against, with well-defined success criteria., • Engage in technical trade-off conversations around model architectures, training approaches, prompt engineering, and evaluation methods., • Partner on experimentation strategy, A/B testing frameworks, and model performance benchmarking to continuously improve agent quality and expand coverage. Lifecycle Care Journey • Map AI agent capabilities across the full customer lifecycle (onboarding, troubleshooting, claims, upgrades, retention) and prioritize the opportunities with the greatest customer and business impact., • Drive a cohesive cross-channel experience so customers get consistent, intelligent support whether they engage via chat, voice, or self-service., • Collaborate with Care, Operations, and CX teams to understand frontline realities and make sure AI agents complement human experts rather than creating friction. Cross-Functional Execution • Work across Engineering, Design, Data Science, Care Operations, and business stakeholders to ship AI-powered experiences at pace., • Influence leadership on where to invest in AI capabilities and how to sequence bets for maximum return across the Intelligence Platform., • Drive alignment between business objectives and technical feasibility, managing trade-offs with transparency., • Champion a culture of rapid experimentation, learning from failures, and iterating quickly. Agent Marketplace • Own the product strategy and roadmap for the Agent Marketplace, a composable platform of production-ready AI skills that enables teams to discover, reuse, and assemble capabilities across domains., • Drive adoption across engineering teams by making reuse the default path, tracking metrics like reuse rate, discovery time, developer adoption, and time-to-delivery for new client programs., • Partner with domain teams (Claims, Tech Support, Fulfillment, Payments, Customer360, Communications, Channels, Fraud) to grow the catalog and ensure skill quality, documentation, and composability standards., • Shape the marketplace roadmap to support the broader platform vision, including semantic search, usage analytics, quality scoring, and future client-facing capabilities. Required Qualifications • 7+ years of product management experience, with meaningful time spent on AI/ML-powered products., • Hands-on AI experience is a must. You are actively working with AI in your current role (building AI-powered products, partnering with data science teams, shaping AI strategy) or you can demonstrate significant daily use outside of work: vibe coding, building with Claude Code, shipping projects with LLM APIs, building custom GPTs, fine-tuning models, or contributing to open source AI projects., • Strong understanding of how AI works: large language models, NLP, conversational AI, model training and evaluation, prompt engineering, and agent frameworks., • Comfortable working with data. You can write basic Python or SQL for analysis, pull insights from model performance dashboards, and use data to drive product decisions., • Track record of shipping customer-facing products that operate at scale across digital or voice channels., • Demonstrated ability to partner deeply with data science and engineering teams as a true collaborator, not just a requirements writer., • Strong communication skills that work in both directions. You can translate complex AI concepts for business stakeholders and articulate business context for technical teams. Preferred Qualifications • Experience building or managing conversational AI, virtual assistants, chatbots, or voice AI products., • Familiarity with agentic AI patterns: tool use, multi-step reasoning, memory and context management, retrieval-augmented generation (RAG)., • Experience in industries with complex care journeys (insurance, telecom, healthcare, fintech)., • Background working with contact center technology, IVR systems, or digital care platforms., • Direct experience calling LLM APIs (OpenAI, Anthropic, open source models) or working within agent orchestration frameworks (LangChain, LlamaIndex, or similar)., • Experience with platform or marketplace products where reuse, composability, and developer adoption are key success metrics. Core Competencies • AI/ML Technical Fluency and Hands-On Experience, • Customer-Facing Product Strategy, • Data Science Partnership and Collaboration, • Cross-Channel (Digital + Voice) Product Thinking, • Agentic AI Vision and Roadmap Execution, • Platform and Marketplace Strategy, • Analytical Rigor and Experimentation Mindset, • Cross-Functional Influence and Stakeholder Management

A leading consulting firm in the United States is seeking an AI Agent Software Engineer to design and build AI-driven voice and chat agents that enhance customer experiences. Ideal candidates will have strong software engineering skills, particularly in Python and TypeScript, and a curiosity about A

Job DescriptionJob Title: L1 Customer Service Representative – Intake/Shipping Agent (L1)Location: OnsiteSummary:We are seeking a reliable and meticulous entry level Logistics Representative to join our inventory and package handling team. This role requires driving the company van around our campus to pick up and drop off laptop and desktop computers, and managing two service ticket queues for equipment related requests. Other duties include working with other team members to ensure the proper processing and inventory of both inbound and outbound parcels. A successful team member will demonstrate consistency by following a daily work routine, processing equipment in a timely manner, and maintaining a proper chain of custody for all equipment. Regular updates to all relevant service tickets is also required.Essential Duties and Responsibilities: Driving the company van around our campus to pick up and drop off equipment. Lift laptop and desktop computers onto carts and vans for transportation. Process inbound and outbound equipment to other team members and roles. Inventory and handle equipment toward the goal of reuse, recycle, or resale. Update spreadsheets for equipment and task tracking purposes. Update all assigned service tickets on a regular and consistent basis. Interact with company personnel to facilitate the handling of their equipment. Respond to email and chat in a timely manner. Provide feedback toward improving team processes. Other duties and responsibilities as assigned. Maintain professionalism at all times. Education/Experience: 1+ year Customer Service/logistics experience. Clean DMV record and current license. . Shipping and receiving experience is a plus. Experience working directly with customers is a must. Any Technical ability is a plus but not necessary. Able to multitask and prioritize multiple tasks/activities. Good interpersonal skills and organizational skills. Google Suite (sheets/docs/slides/chat/calendar) is a must. Knowledge of the ServiceNow ticketing system is helpful.

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role operates on a hybrid schedule requiring two days of in-office collaboration per week. The position can be based in either our San Francisco office or our new New York City office (opening March 2026). About the Role: The Application Platform team is responsible for the Taskrabbit platform in regards to identifying opportunities for improvement in architecture, tooling, processes, and more... We're the leading edge of front-end development at Taskrabbit, the pit crew helping engineers stay on track and move faster all while modernizing our platform! Our near-term focus is modernizing the front-end, including development of a robust design system and new front-end leveraging Next.js. In addition we're improving content management efficiency and flexibility via headless CMS technologies. As a Staff Engineer, you will help lead a team that designs, builds, evolves, and maintains the foundational ecosystem that powers Taskrabbit web. Your decisions will have a significant and highly visible impact on engineering productivity and the direction of our product. There is so much opportunity to leave your mark and help us make our marketplace more reliable, powerful, and scalable than it has ever been! Join us in transforming lives, one task at a time. What You'll Work On: • Build the next generation of Taskrabbit's web front-end, • Propose and drive improvements to performance, reliability, and ease of development, • Improve developer tooling and processes for product-oriented engineering teams, • Guide other engineers on best practices for designing and implementing features, • Work with Engineering and Product leadership to develop a unified approach to engineering at Taskrabbit, • Advise senior leadership team on current state of platform and future possibilities Your core skills: • 8+ years of experience developing modern web applications, • Extensive experience with TypeScript, JavaScript, and Next.js, • Production level experience with industry standard AI tooling, including usage of AI agent workflows in development, • Experience building API-driven applications, • Experience with Jest, Playwright, and other testing tools, • Experience with modern frontend web development tools (e.g. NPM, Babel, ESLint, Webpack), • Experience with Kubernetes and containerized applications, • Exceptionally strong technical design and architecture skills, • Passion for mentoring other engineers, • Enjoy optimizing performance and developer experience, • Strong written and verbal communication skills, • Ability to explain complex technical subjects in simple terms, • Experience breaking down large tasks into easily understood and achievable iterations, • Experience with software engineering best practices (e.g. agile processes, technical design documentation, unit and integration testing, code reviews)Nice-to-have skills:, • Experience with headless Content Management Systems (e.g. Contentful, Strapi), • Experience building CI/CD pipelines (e.g. GitHub Actions, CircleCI), • Experience with Amazon Web Service tools and hosting strategies, • Experience with Infrastructure as Code (e.g. Terraform, Ansible), • Experience with tRPC or "Backend for Frontend" pattern, • Comfortable with MySQL, Redis, ElasticSearch, • Experience with NestJS for building backend API applications, • Experience with event driven architecture Compensation & Benefits: At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $150,000 - $200,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

Job DescriptionAI / Software Engineer (Senior or Staff)Location: San Francisco, CA Employment Type: Direct Hire – Full Time Work Arrangement: 100% Onsite Compensation: $200,000 – $300,000 base salary + equityHireNow Staffing is actively recruiting a seasoned, highly skilled AI / Software Engineer (Senior or Staff level) to join one of our valued client partners. HireNow Staffing is acting as a direct placement partner for this advanced engineering role within an AI-driven enterprise technology environment.Position OverviewThis engineering role focuses on building foundational infrastructure that powers advanced AI systems designed to automate complex operational workflows across multiple business systems. The position requires an engineer who approaches problems through systems thinking and is comfortable owning technical challenges that span architecture, infrastructure, and product functionality.The engineer will work closely with leadership and product stakeholders to develop scalable backend systems, AI-powered integrations, and intelligent automation capabilities that connect fragmented software environments used by enterprise customers.Candidates must demonstrate a strong ability to design distributed systems, solve complex data reconciliation challenges, and build production-grade infrastructure that supports high reliability and scalability.Core Responsibilities • Design and develop scalable backend architecture supporting AI-powered automation platforms, • Build infrastructure that enables reliable integrations across multiple business software systems, • Develop intelligent data reconciliation systems that resolve inconsistencies across operational and financial datasets, • Implement systems that support continuous financial reporting and automated operational workflows, • Architect natural language-driven automation frameworks that translate user instructions into structured workflows, • Design AI agent infrastructure capable of operating across multiple communication channels such as chat, email, SMS, and voice, • Apply rigorous engineering practices related to testing, observability, deployment pipelines, and system reliability, • Collaborate directly with leadership and product teams to align engineering decisions with platform objectives, • Mentor engineers and contribute to a strong engineering culture focused on quality and ownership, • Own projects from initial architecture through deployment and iterative improvementsRequired Qualifications (Non-Negotiable)Candidates must meet all of the following requirements to be considered for interview:, • 6–10 years of professional software engineering experience, with a strong backend focus, • Demonstrated experience building production systems and scalable infrastructure, • Strong background working in high-quality startup or scale-up environments, • Experience designing and implementing distributed systems or complex data processing pipelines, • Strong proficiency in backend programming languages such as Python or TypeScript, • Experience working with relational databases such as PostgreSQL, • Experience building full-stack applications with a backend emphasis, • Demonstrated ability to independently drive technical projects from concept through deployment, • Strong computer science foundation with rigorous coding experience, • Stable employment history and clear career progression (candidates with jumpy resumes will not be considered)Preferred QualificationsThe following qualifications are highly preferred but not required:, • Experience developing systems using Python, PostgreSQL, TypeScript, React, and Google Cloud Platform (GCP), • Experience with frameworks such as Django or modern web backend architectures, • Experience building AI-enabled infrastructure, automation systems, or agent frameworks, • Familiarity with techniques such as entity resolution, fuzzy matching, and cross-system data reconciliation, • Experience building integrations across multiple third-party software systems, • Former startup founder or founding engineer experience, • Degree in Computer Science or a related STEM field, ideally from a rigorous academic program, • Demonstrated evidence of technical excellence such as contributions to high-performing engineering teams, competitive programming participation, or experience at selective engineering organizationsWhat Type of Candidates HireNow Staffing Is Recruiting ForHireNow Staffing is seeking a highly capable software engineer with strong technical ownership and systems-thinking ability.The ideal candidates will demonstrate:, • Experience working at high-performing startups or early-stage technology companies, • Ability to design and scale infrastructure that supports complex business workflows, • Strong backend engineering expertise combined with full-stack understanding, • Entrepreneurial mindset and willingness to solve difficult technical challenges, • Ability to collaborate closely with leadership on architecture and product strategy, • Consistent professional growth and stable career progression within strong engineering teamsCandidates who combine technical depth, ownership mentality, and experience building systems that operate at scale will align most closely with this role.Technology EnvironmentTypical technologies used within the engineering environment include:, • Python, • TypeScript, • React, • PostgreSQL, • Django, • Google Cloud Platform (GCP)Work LocationPrimary location: San Francisco, CA (onsite)Strong candidates located in Palo Alto, CA or New York City, NY may also be considered depending on qualifications.Visa sponsorship is not available for this role.Compensation & Benefits, • Base Salary: $200,000 – $300,000, • Equity participation

Job DescriptionAbout Pair Team Pair Team is building a new kind of healthcare system across Medicaid, Medicare, and public assistance programs: one that recognizes that access to housing, nutritious food, and reliable transportation are just as critical to health as having the right medications or seeing a doctor. As a public benefit corporation and AI-enabled medical group, we partner with shelters, food pantries, and community organizations to deliver "whole-person" care to the 115 million Americans who rely on the safety net. We are currently the largest complex care provider in California with over 500 employees and are expanding nationally. Our model replaces fragmented healthcare and social services systems with one trusted relationship for all medical, behavioral, and social needs. We improve access, build trust, and dramatically lower costs (52% fewer ER visits, 26% fewer hospitalizations). Our model is a rare combination of saving tax payer dollars ($150B annually at scale) while putting people on an upward life trajectory. At national scale, this approach would save taxpayers. These outcomes are driven by the AI-first, whole-person infrastructure we are building — a platform that connects healthcare and social-service organizations into a unified network. Leveraging our vast data and years of operational experience, we are building the agentic infrastructure for the safety net to coordinate care, automate operations, and learn from every patient interaction to continuously improve outcomes. Check out the AI-First Medicaid System we are building here. • Forbes: For Pair Team, Accessibility Is About Delivering Healthcare To Those Who Need It The Most, • TechCrunch: Building for Medicaid's regulatory moment with Neil Batlivala from Pair Team, • Lead the design and evolution of agentic systems that participate directly in care delivery, helping coordinate care, engage patients, and execute meaningful portions of care workflows., • Define and build architectural patterns for agent reasoning, tool use, memory, and human-in-the-loop collaboration., • Develop both reusable platform capabilities and product-facing implementations, balancing long-term architecture with rapid iteration., • Own complex problem spaces end-to-end — from system design and implementation through observability, evaluation, and continuous improvement in production., • Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior., • Establish standards and best practices for agent evaluation, safety, and operational reliability as these systems evolve toward greater autonomy, • Mentor engineers and influence technical direction across teams building agent-driven capabilities.Who You Are, • Systems-Oriented Technical Leader: You think in systems, not features. You make strong architectural decisions, navigate trade-offs effectively, and help shape technical direction across teams., • Applied Agentic AI Builder: You've built production agentic AI systems that perform meaningful work. You understand agent behavior, tool orchestration, stateful workflows, and the realities of operating AI systems in production., • Product-Minded Engineer: You work closely with product managers and domain experts to define problems and translate ambiguity into clear technical solutions. You care about outcomes, not just implementation., • Strong Judgment in Ambiguity: You're comfortable operating in evolving problem spaces, balancing experimentation with reliability and knowing when to prioritize speed versus long-term investment., • Data & Evaluation Driven: You use metrics, evaluation frameworks, and operational feedback to guide decisions and continuously improve system performance., • Highly Autonomous Executor: You take ownership of complex problem spaces end-to-end, balancing speed with engineering rigor and iterating effectively based on real-world feedback.What You'll Need, • 6+ years of experience building and shipping production software systems, including experience operating at a Staff or Principal IC level and driving technical direction across complex systems, • Proven experience building and scaling multi-agent or agent-driven systems in production and real-world operational ownership (beyond simple chat or LLM workflows)., • Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic)., • Strong systems and backend architecture fundamentals, with experience designing scalable, reliable systems and handling infrastructure, performance, failure modes, cost, and deployment concerns., • Clear agentic evaluation mindset, including automated evals, simulation-based testing, regression frameworks, metrics design, and continuous improvement loops. Firsthand experience addressing performance and reliability of scaled agentic systems., • AI-native builder with high velocity and ownership, demonstrating intellectual curiosity, rapid adoption of new tools, bias to action, and the ability to drive ambiguous problems from concept to production., • Strong cross-functional collaborator and communicator, able to partner with Product, Operations, and domain experts to deliver end-to-end systems with measurable real-world impact., • Experience building conversational or voice-driven systems (e.g., speech pipelines, telephony integrations, or real-time conversational workflows)., • Experience working in healthcare or other regulated or high-stakes domains.Our Values, • Lead with integrity: We keep our commitments and take responsibility for our actions. We are dependable and choose authenticity over perfection., • Embrace challenges: We leave our egos at the door and step forward into discomfort instead of back into safety. We help each other to learn and provide feedback using candor and kindness., • Break through walls: We go the extra mile for our patients, partners and one another, and we run toward hard things. We are resilient in our push for consistent improvement and challenge the status quo., • Act beyond yourself: We build each other up and respect boundaries. We seek first to understand and assume positive intent., • Care comes first: We hold ourselves to the highest standards for our patients. We are relentless in the pursuit of our mission, and ensure that we are taking care of ourselves in order to care for others. Because We Value You • Competitive salary: $210,000 - 235,000, • Equity compensation package, • Flexible vacation policy – take the time you need to recharge, • Comprehensive medical, dental, and vision coverage, • 401(k), • 100% company-sponsored short and long-term disability and life insurance, • Subsidized backup childcare and caregiver supports through Wellthy, • Work entirely from the comfort of your own home, • Monthly $100 work from home expense stipend, • We provide the equipment needed for the role, • Opportunity for rapid career progression with plenty of room for personal growth! Pair Team participates in E-Verify to verify employment eligibility for new hires. Any offer of employment at Pair Team is conditioned upon passing a pre-employment background check. Following a conditional job offer, candidates will undergo comprehensive employment background checks, including; criminal history, reference checks, and driving records if a role requires vehicle use. We do not conduct any TA business outside of our @pairteam.com emails. If you're ever concerned about spam or fraudulent activity, please reach out to . Note: Please be aware that while we sincerely appreciate your interest, due to the high volume of requests, we're unable to respond to general position inquiries via email. To apply for a position with us, please submit your application for the role you are interested in. Our team regularly reviews applications and will reach out to candidates whose qualifications align with our current openings listed below. Thank you!

Job DescriptionWhy Flux Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how electronics are designed and built around the world. About the Role Flux is building the world’s first AI Hardware Engineer, software that can design real, manufacturable electronics from a prompt. As a Senior Software Engineer, Agentic Development, your mission is to build the brains of the system, agentic workflows, reasoning graphs, and integrations that help novice users move from idea to manufacturable hardware and seasoned electrical engineers learn from the hard earned battle scars from failed production runs of the past. This role combines deep web engineering with AI systems design. You’ll work with Typescript and LangGraph across the Flux web app and backend platform, embedding intelligence directly into the design environment. Responsibilities * Develop agentic reasoning capabilities in TypeScript (LangGraph). * Integrate AI behaviors into the Flux web app (React/Redux) and Chat UI. * Instrument telemetry and logging for runtime health, performance, and cost tracking. * Collaborate with product and electrical engineers to shape intelligent ECAD workflows. * Build and analyze evals; translate data into engineering decisions. * Actively shape agentic patterns, conventions, and best practices for the broader engineering org. Required Qualifications * 8+ years of software-engineering experience; 1+ years developing generative-AI or agentic systems. * Strong command of TypeScript, React, and Node.js. * Experience with LangChain, LangGraph, or equivalent orchestration frameworks. * Demonstrated success building asynchronous, distributed systems in production. * Experience integrating LLM-based systems into complex user-facing web products. * Excellent communicator comfortable in a fully remote, async team. * Experience at a startup or in 0→1 product environments. Preferred Qualifications * Experience with retrieval systems, evaluation pipelines, or agent benchmarking. * Contributions to open-source AI/developer tools projects. * Familiarity with hardware design or ECAD concepts. * Background in applied ML, data-driven experimentation, or NLP. * Experience with distributed highly available systems that operate at significant scale. Profile Impact-oriented: You don't feel done until real people are getting real value from what you built. Ambiguity-native: You thrive in the undefined. Agentic development is full of half-mapped terrain, soft constraints, and ideas that shift under your feet. That energizes you. You constantly update your intuitions as you go, and are excited to discover new and better ways to attack challenges we're still finding words to describe. Collaborative: You share your thoughts early and often, and welcome debate and creative collaboration. Flux is a deeply collaborative company, and we believe that the best ideas can only win if they're said out loud. Convention-averse: Flux is an AI-first company. We constantly experiment with new workflows, tools, and ways of working together. You feel an urgency to reimagine how we create and collaborate in this rapidly changing world, and you value critical thinking far above established conventions. Ownership mentality: You are a self-starter, bias toward action, and care deeply about the team and community who lean on you and your work.

Job DescriptionAbout Glue Glue is not just another team chat app. We're building the first platform for agentic team chat—a workspace where AI agents and humans collaborate as peers. Our platform supports leading AI models (GPT-5, Claude, Gemini, and open-source alternatives) and integrates with thousands of apps through the Model Context Protocol (MCP), enabling teams to direct actions across their entire tech stack without leaving chat. We recently raised $20M in Series A funding. Co-founded by David Sacks and Evan Owen, Glue is redefining how teams communicate and get work done in the AI era. Opportunity We’re looking for an AI/ML Engineer with a strong foundation in large language models (LLMs) and retrieval-augmented generation (RAG) to help us build smart, useful, and scalable AI features. You’ll work across the stack—from prototyping prompts and pipelines to shipping production systems—and play a key role in evaluating model performance and behavior. You'll collaborate across engineering, product, and design to ship experiences that feel magical—but are grounded in robust infrastructure and measurable outcomes.About You • Have shipped across the stack to production—from data ingestion and model integration to serving and monitoring—and understand what it takes to build resilient ML-powered features., • Have dealt with issues like latency, cost, edge cases, and prompt brittleness, and you’ve built systems that people rely on, • Understand the nuances of RAG systems, including text chunking, hybrid retrieval (semantic + keyword), vector store tuning, and relevance optimization., • A self-starter, a builder, a doer. You know how to architect a project the “right way”, but also know when to ask about requirements and make tradeoffs depending on the maturity of the project, • Care about details but know when to avoid getting lost in the weeds and prioritize the immediate outcomes needed., • Want to be part of a scrappy, early team who is building something ambitious and exciting.What will help you succeed, • 5+ years of engineering experience, ideally including ML, NLP, or applied AI experience, • 2+ years hands-on with LLMs, transformers, and production-grade generative AI systems, • 2+ years of experience with a server-side language such as Go, TypeScript, Python, etc., • Experience building RAG systems using frameworks like LangChain, LlamaIndex, or custom stacks, • Experience with multi-modal inputs, fine-tuning open models, or orchestrating agent-style systems, • Familiarity with evaluation techniques, tooling (e.g., Braintrust, Promptfoo, etc.) and quality metrics

Job Description Cooperidge Consulting Firm is seeking an AI Agent Software Engineer on behalf of a top AI-driven technology client building next-generation autonomous customer experience systems across industries including finance, healthcare, and travel. This role offers the opportunity to build production-grade AI agents that autonomously handle complex, real-world customer interactions traditionally managed by human support teams. The engineer in this role will own features end-to-end—from concept and design through deployment and iteration—while collaborating closely with product, operations, and customer-facing teams. The ideal candidate is a strong software engineer with curiosity about AI systems, a bias toward ownership, and a desire to build reliable, transparent, and scalable agent-based platforms. In This Role, You Will • Design and build AI-driven voice and chat agents that deliver high accuracy, efficiency, and customer satisfaction, • Translate natural language instructions into structured, auditable workflows using a proprietary agent logic framework, • Own full-cycle development from system design through deployment and continuous improvement, • Analyze agent performance data to identify trends and drive behavioral and platform-level improvements, • Experiment with and integrate modern voice and language models, tuning for enterprise reliability, latency, and scale, • Use real-time observability and tracing tools to understand, debug, and improve agent decision-making, • 2+ years of professional software engineering experience working on production systems with real users, • Strong proficiency in Python and TypeScript, including asynchronous programming and error handling, • Solid debugging and troubleshooting skills using logs, profilers, and raw data analysis, • Strong computer science fundamentals (language background flexible), • Proactive mindset with curiosity around how AI agents reason, fail, and improve, • Exposure to multimodal AI systems or voice interface development, • Experience with enterprise customer experience or conversational automation platforms, • Full-time roles offering overtime and weekend work opportunities, • Competitive hourly wages plus potential quarterly bonuses, • Comprehensive health, vision, and dental insurance plans, • Life insurance coverage, • 401(k) retirement plan with company matching contributions, • Paid time off including vacation, sick leave, and holidays, • Opportunities for career growth and advancement, • Employee discount programs and perks

Job DescriptionCompany Description TheLoops, an IFS company, is the first enterprise-grade AI Agent platform built for mission-critical applications and industries. Our AI Agents act as digital coworkers that are governed, secure, always learning, and working 24/7 to drive measurable business outcomes. As we grow, we’re looking for driven, collaborative and ambitious individuals to help us deliver the future of AI-powered operations By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world. We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference. If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS. Job Description We’re building intelligent, autonomous AI agents that can reason, plan, and act across real-world workflows. These agents go beyond chat — they take meaningful action, work across tools and systems, and operate in complex, high-stakes environments. As our Product Manager, you’ll lead the definition and delivery of early use cases for agentic AI. You’ll turn cutting-edge agent capabilities — like long-term memory, tool use, and planning — into applied, valuable products. You’ll be use-case–driven, but platform-aware — working closely with engineering and research to ensure what we build is feasible, scalable, and aligned with the underlying agent architecture. Qualifications Use Case Discovery & Validation • Identify and prioritize agent use cases with high ROI: operational automation, coordination agents, internal task delegation, etc., • Work with users and stakeholders to understand their workflows, challenges, and trust boundaries., • Define the agent experience — from delegation to monitoring to escalation — for real-world scenarios., • Translate use cases into clear product specs: user flows, system interactions, prompts, safety requirements, and interfaces., • Collaborate with engineering to align product needs with agent platform capabilities (planning, memory, tool orchestration, retries, etc.)., • Partner with AI research to bring experimental features into real-world settings., • Define success metrics around outcomes — time saved, accuracy improved, failures recovered — not just clicks or sessions., • 5+ years of product management or startup experience building technically complex, user-facing systems, • Strong intuition for applied use cases — especially in automation, operations, or real-world workflows, • Familiarity with agentic AI patterns and tooling (e.g., LLM agents, tool use, LangChain, OpenAI functions, memory systems), • Experience working closely with engineers and researchers on system-level product decisions, • Exposure to or interest in domains like logistics, field ops, manufacturing, or systems integration, • Background in AI/ML infrastructure, developer platforms, robotics, or IIoT, • Experience designing for human-in-the-loop or semi-autonomous systems, • Hands-on experience with prototyping workflows or agents using modern frameworks (e.g. LangGraph, AutoGen) Additional Information What We’re Offering • Salary Range: $180,000-220,000, • Flexible paid time off, including sick and holiday, • Medical, dental, & vision insurance, • 401K with Company contribution, • Flexible spending accounts, • Life insurance and disability benefits, • Tuition assistance 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. VEVRAA Federal Contractor, Equal Opportunity Employer

Job DescriptionStrength in Trust OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down—it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We are seeking a Principal Domain Architect who will define and drive the technical vision for AI-native and agentic systems across the platform. This role combines deep system architecture expertise, AI innovation, and strategic technology leadership to build scalable, reliable, and enterprise-grade solutions. The Principal Architect will work closely with Product, AI Platform teams, Architecture Guild, and engineering leadership to guide the design of complex distributed systems, influence the product roadmap, and drive the adoption of modern AI-native architectures across the organization. This leader is expected to identify emerging engineering advancements and translate them into strategic business opportunities, while improving engineering efficiency and technical excellence across products. Your Mission • Define and deliver architecture for AI-native agentic systems, enabling scalable and enterprise-grade multi-agent solutions., • Create and evaluate failure mode scenarios for agentic workflows and incorporate architectural safeguards to ensure resilience and reliability., • Provide deep expertise in LLM architectures, prompt engineering, RAG approaches, model selection, model training, LoRA knowledge, cost optimization, performance, security, and quality considerations., • Drive technology transformation within the domain, enabling teams to adopt modern AI-native architectures and engineering practices., • Stay current with rapid advancements in the agentic AI ecosystem, continuously evaluating emerging frameworks, tools, and architectural patterns., • Champion technical exploration and spikes to test new ideas, validate feasibility, and guide long-term architectural decisions., • Collaborate closely with the AI Platform team to influence platform capabilities and ensure alignment with enterprise architecture., • Define metrics, evaluation frameworks, and observability standards for agentic systems., • Provide architectural guidance and oversight to engineering squads, reviewing designs and co-creating solutions for complex initiatives., • Act as a technology leader for the domain, influencing the Architecture Guild and driving best practices across engineering teams., • Ensure teams adopt architecture governance standards and best practices., • Champion technical controls and disciplined engineering practices to proactively manage architectural complexity and technical debt., • Design and build high-performance distributed systems capable of supporting enterprise workloads., • Recognize industry trends and proactively influence the product and engineering roadmap., • Design large-scale distributed systems and AI-powered architectures that support multiple products and integrations., • Create and maintain architecture models, system diagrams, and technical design documentation covering current and future state architecture., • Conceive and evolve product and service architectures ensuring scalability, reliability, and operational efficiency., • Contribute to company-level engineering strategy and evaluate the business impact of emerging technologies., • Lead engineering initiatives to improve platform capabilities and engineering productivity., • Participate in strategic programs that impact company-wide technical direction., • Recommend technologies and frameworks that increase engineering productivity and system reliability., • Oversee technical aspects of major initiatives and ensure high engineering standards., • Mentor engineers and technical leaders to strengthen system design capabilities and engineering best practices.You Are, • A highly skilled technical leader with strong architectural vision., • An analytical thinker with strong problem-solving and system design skills., • A strong communicator capable of influencing leadership and cross-functional teams., • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field., • 16+ years of software engineering experience with deep expertise in distributed systems., • Extensive experience with Java-based development using REST APIs, Spring Boot, and microservices architectures., • Strong experience designing distributed, asynchronous, and event-driven architectures., • Expertise building low-latency, high-throughput data pipelines and large-scale data platforms., • Experience with data streaming and event processing technologies such as Kafka, Kinesis, Spark, or Flink., • Strong knowledge of data structures, algorithms, distributed algorithms, and system programming., • Experience with fault-tolerant messaging systems such as Kafka, RabbitMQ, AMQ, or ZeroMQ., • Experience working with distributed data stores including MongoDB, Cassandra, CockroachDB, or CouchDB., • Experience integrating applications with search platforms such as Elasticsearch or Solr., • Proven experience mentoring engineers and building strong engineering practices., • Strong ability to create and maintain architecture documentation and system design artifacts., • Excellent leadership, verbal, and written communication skills.Extra Impressive, • Master's degree in Computer Science, Engineering, or related field., • Experience running large-scale web services and distributed platforms., • Deep understanding of system performance tradeoffs, load balancing, and high-availability architectures., • Experience with cloud-native and serverless architectures., • Experience designing graph-based data models and graph architectures. Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview. Benefits As an employee at OneTrust, you will be part of the OneTeam. That means you'll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers. Resources Check out the following to learn more about OneTrust and its people: • OneTrust Careers on YouTube Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to . Our Commitment to You When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career. OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.

Job DescriptionWhy Flux Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how electronics are designed and built around the world. About the Role Flux is building the world’s first AI Hardware Engineer, software that can design real, manufacturable electronics from a prompt. As a Software Engineer, Agentic Development, your mission is to build the brains of the system, agentic workflows, reasoning graphs, and integrations that help novice users move from idea to manufacturable hardware and seasoned electrical engineers learn from the hard earned battle scars from failed production runs of the past. This role combines deep web engineering with AI systems design. You’ll work with Typescript and LangGraph across the Flux web app and backend platform, embedding intelligence directly into the design environment. Responsibilities * Develop agentic reasoning capabilities in TypeScript (LangGraph). * Integrate AI behaviors into the Flux web app (React/Redux) and Chat UI. * Instrument telemetry and logging for runtime health, performance, and cost tracking. * Collaborate with product and electrical engineers to shape intelligent ECAD workflows. * Build and analyze evals; translate data into engineering decisions. * Actively shape agentic patterns, conventions, and best practices for the broader engineering org. Required Qualifications * 5+ years of software-engineering experience; 1+ year developing generative-AI or agentic systems. * Strong command of TypeScript, React, and Node.js. * Experience with LangChain, LangGraph, or equivalent orchestration frameworks. * Demonstrated success building asynchronous, distributed systems in production. * Experience integrating LLM-based systems into complex user-facing web products. * Excellent communicator comfortable in a fully remote, async team. * Experience at a startup or in 0→1 product environments. Preferred Qualifications * Experience with retrieval systems, evaluation pipelines, or agent benchmarking. * Contributions to open-source AI/developer tools projects. * Familiarity with hardware design or ECAD concepts. * Background in applied ML, data-driven experimentation, or NLP. * Experience with distributed highly available systems that operate at significant scale. Profile Impact-oriented: You don't feel done until real people are getting real value from what you built. Ambiguity-native: You thrive in the undefined. Agentic development is full of half-mapped terrain, soft constraints, and ideas that shift under your feet. That energizes you. You constantly update your intuitions as you go, and are excited to discover new and better ways to attack challenges we're still finding words to describe. Collaborative: You share your thoughts early and often, and welcome debate and creative collaboration. Flux is a deeply collaborative company, and we believe that the best ideas can only win if they're said out loud. Convention-averse: Flux is an AI-first company. We constantly experiment with new workflows, tools, and ways of working together. You feel an urgency to reimagine how we create and collaborate in this rapidly changing world, and you value critical thinking far above established conventions. Ownership mentality: You are a self-starter, bias toward action, and care deeply about the team and community who lean on you and your work.

Job DescriptionStrength in Trust OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down—it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge As a Senior Principal Software Engineer, you will serve as a technical leader for OneTrust's AI Governance platform, driving the design, scalability, and reliability of systems that enable enterprises to deploy and govern AI and LLM-powered applications responsibly. You will deeply understand how customers build, deploy, and operate AI systems, and translate those needs into secure, compliant, and observable platform capabilities. Your Mission Development • Lead the design and development of Java/Python microservices and shared libraries integrating with AI platforms for OneTrust's AI Governance product., • Design, build, and test cloud-native applications deployed on Microsoft Azure using Core Java, REST, and the Spring ecosystem., • Build features with RAG, agent workflows, and model orchestration., • Own technical design for critical systems, ensuring scalability, security, and reliability., • Work closely with UX, Product Managers and/or Product Owners, as well as other developers to contribute to planning and grooming sessions and drive team's discussions on system architecture and component design., • Partner with Product, UX, and Customer Success to understand customer AI use cases and governance needs., • Lead architecture discussions and technical planning., • Drive alignment across teams on platform design and priorities., • Reduce defects by identifying and addressing issues early in the development lifecycle., • Ensure critical and high priority CII's are delivered per SLA., • Promote early defect detection through strong design and testing., • Set standards for clean, secure, and maintainable code., • Conduct thorough reviews for distributed and AI-enabled systems., • Help build high-performing teams by mentoring the team on new technical skills., • Influence technical strategy and long-term platform direction., • Bachelor's or master's degree in computer science, Engineering, or related technical or business field., • 12+ years of professional software engineering/development experience, • Strong expertise in Java/J2EE, Spring, design patterns, microservices architecture, and cloud-native distributed systems, • Proven experience building production-grade agentic AI systems with robust tool-use, guardrails, and observability for enterprise-scale workloads., • Solid understanding of RAG pipelines, agent workflows, model orchestration, and evaluation practices., • Working experience with one or more AI platforms like Amazon SageMaker, Google Vertex, AWS Bedrock etc., • Experience with elastic search and data streaming tools like Kafka., • Good understanding of web services and SOA related standards like REST/OAuth/JSON., • Moderate understanding of code and script (Python, Bash), • Good experience with SQL and NoSQL databases, • Agile development (Scrum, XP, or Pair Programming) experience, • Ability to use a wide variety of open-source technologies and cloud services., • Experience with different databases (Relational and document) is a strong asset., • Familiarity with continuous integration and continuous deployment (CI/CD) tools., • Proficiency in Kubernetes, including cluster deployment, scaling, and management is highly desirable. Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview. Benefits As an employee at OneTrust, you will be part of the OneTeam. That means you'll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers. Resources Check out the following to learn more about OneTrust and its people: • OneTrust Careers on YouTube Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to . Our Commitment to You When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career. OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.

Job DescriptionAbout Pair Team Pair Team is building a new kind of healthcare system across Medicaid, Medicare, and public assistance programs: one that recognizes that access to housing, nutritious food, and reliable transportation are just as critical to health as having the right medications or seeing a doctor. As a public benefit corporation and AI-enabled medical group, we partner with shelters, food pantries, and community organizations to deliver "whole-person" care to the 115 million Americans who rely on the safety net. We are currently the largest complex care provider in California with over 500 employees and are expanding nationally. Our model replaces fragmented healthcare and social services systems with one trusted relationship for all medical, behavioral, and social needs. We improve access, build trust, and dramatically lower costs (52% fewer ER visits, 26% fewer hospitalizations). Our model is a rare combination of saving tax payer dollars ($150B annually at scale) while putting people on an upward life trajectory. At national scale, this approach would save taxpayers. These outcomes are driven by the AI-first, whole-person infrastructure we are building — a platform that connects healthcare and social-service organizations into a unified network. Leveraging our vast data and years of operational experience, we are building the agentic infrastructure for the safety net to coordinate care, automate operations, and learn from every patient interaction to continuously improve outcomes. Read more about the AI-First Medicaid System we are building here. • Forbes: For Pair Team, Accessibility Is About Delivering Healthcare To Those Who Need It The Most, • TechCrunch: Building for Medicaid's regulatory moment with Neil Batlivala from Pair Team, • Lead the design and evolution of agentic systems that participate directly in care delivery, helping coordinate care, engage patients, and execute meaningful portions of care workflows., • Define and build architectural patterns for agent reasoning, tool use, memory, and human-in-the-loop collaboration., • Develop both reusable platform capabilities and product-facing implementations, balancing long-term architecture with rapid iteration., • Own complex problem spaces end-to-end — from system design and implementation through observability, evaluation, and continuous improvement in production., • Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior., • Establish standards and best practices for agent evaluation, safety, and operational reliability as these systems evolve toward greater autonomy, • Mentor engineers and influence technical direction across teams building agent-driven capabilities.Who You Are, • Systems-Oriented Technical Leader: You think in systems, not features. You make strong architectural decisions, navigate trade-offs effectively, and help shape technical direction across teams., • Applied Agentic AI Builder: You've built and scaled production agentic AI systems that perform meaningful work beyond simple chat interfaces. You understand agent behavior, tool orchestration, stateful workflows, and the realities of operating AI systems in production., • Product-Minded Engineer: You work closely with product managers and domain experts to define problems and translate ambiguity into clear technical solutions. You care about outcomes, not just implementation., • Strong Judgment in Ambiguity: You're comfortable operating in evolving problem spaces, balancing experimentation with reliability and knowing when to prioritize speed versus long-term investment., • Data & Evaluation Driven: You use metrics, evaluation frameworks, and operational feedback to guide decisions and continuously improve system performance., • Highly Autonomous Executor: You take ownership of complex problem spaces end-to-end, balancing speed with engineering rigor and iterating effectively based on real-world feedback., • Multiplying Presence: You elevate those around you — mentoring engineers, establishing best practices, and helping raise the bar for how AI systems are designed and operated.What You'll Need, • 6+ years of experience building and shipping production software systems, including experience operating at a Staff or Principal IC level and driving technical direction across complex systems, • Proven experience building and scaling multi-agent or agent-driven systems in production and real-world operational ownership (beyond simple chat or LLM workflows)., • Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic)., • Strong systems and backend architecture fundamentals, with experience designing scalable, reliable systems and handling infrastructure, performance, failure modes, cost, and deployment concerns., • Clear agentic evaluation mindset, including automated evals, simulation-based testing, regression frameworks, metrics design, and continuous improvement loops. Firsthand experience addressing performance and reliability of scaled agentic systems., • AI-native builder with high velocity and ownership, demonstrating intellectual curiosity, rapid adoption of new tools, bias to action, and the ability to drive ambiguous problems from concept to production., • Strong cross-functional collaborator and communicator, able to partner with Product, Operations, and domain experts to deliver end-to-end systems with measurable real-world impact., • Experience building conversational or voice-driven systems (e.g., speech pipelines, telephony integrations, or real-time conversational workflows)., • Experience working in healthcare or other regulated or high-stakes domains.Our Values, • Lead with integrity: We keep our commitments and take responsibility for our actions. We are dependable and choose authenticity over perfection., • Embrace challenges: We leave our egos at the door and step forward into discomfort instead of back into safety. We help each other to learn and provide feedback using candor and kindness., • Break through walls: We go the extra mile for our patients, partners and one another, and we run toward hard things. We are resilient in our push for consistent improvement and challenge the status quo., • Act beyond yourself: We build each other up and respect boundaries. We seek first to understand and assume positive intent., • Care comes first: We hold ourselves to the highest standards for our patients. We are relentless in the pursuit of our mission, and ensure that we are taking care of ourselves in order to care for others. Because We Value You • Competitive salary: $240,000 - 260,000, • Equity compensation package, • Flexible vacation policy – take the time you need to recharge, • Comprehensive medical, dental, and vision coverage, • 401(k), • 100% company-sponsored short and long-term disability and life insurance, • Subsidized backup childcare and caregiver supports through Wellthy, • Work entirely from the comfort of your own home, • Monthly $100 work from home expense stipend, • We provide the equipment needed for the role, • Opportunity for rapid career progression with plenty of room for personal growth! Pair Team participates in E-Verify to verify employment eligibility for new hires. Any offer of employment at Pair Team is conditioned upon passing a pre-employment background check. Following a conditional job offer, candidates will undergo comprehensive employment background checks, including; criminal history, reference checks, and driving records if a role requires vehicle use. We do not conduct any TA business outside of our @pairteam.com emails. If you're ever concerned about spam or fraudulent activity, please reach out to . Note: Please be aware that while we sincerely appreciate your interest, due to the high volume of requests, we're unable to respond to general position inquiries via email. To apply for a position with us, please submit your application for the role you are interested in. Our team regularly reviews applications and will reach out to candidates whose qualifications align with our current openings listed below. Thank you!

Job DescriptionJob Title: L1 Customer Service Representative – Intake/Shipping Agent (L1) Location: Onsite Summary: We are seeking a reliable and meticulous entry level Technical Logistics Representative to join our logistics inventory and package handling team. This role requires managing two service ticket queues for equipment related requests, and working with other team members to ensure the proper processing and inventory of both inbound and outbound parcels. A successful team member will demonstrate consistency by following a daily work routine, processing equipment in a timely manner, and maintaining a proper chain of custody for all equipment. Regular updates to all relevant service tickets is also required. Essential Duties and Responsibilities: Create FedEx shipping labels to retrieve computer systems from off site employees. Prepare FedEx boxes for shipping. Handle and process inbound and outbound packages/equipment to other team members and roles. Process and inventory equipment toward the goal of reuse, recycle, or resale. Update spreadsheets for equipment and task tracking purposes. Update all assigned service tickets on a regular and consistent basis. Interact with company personnel to facilitate the return or handling of their equipment. Maintain clear organization of all inventory locations. Work with the legal department in regards to equipment requiring their attention. Respond to email and chat in a timely manner. Provide feedback regarding the needs of the team or environment for ongoing improvements. Other duties and responsibilities may be assigned. Maintain professionalism and appearance at all times. Education/Experience: 1+ year Customer Service experience. IT/Sensitive Equipment handling experience required. Shipping and receiving experience is a plus. Experience working directly with customers is a must. Any Technical ability is a plus but not necessary. Able to multitask and prioritize multiple tasks/activities. Good interpersonal skills and organizational skills. Google Suite (sheets/docs/slides/chat/calendar) is a must. Knowledge of the ServiceNow ticketing system is helpful.