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We're forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. As a Principal Machine Learning Engineer in Agent Factory, you'll design and build the co

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: * Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. * A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). * At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. * Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: * Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. * Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. * Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. * Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. * Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. The Team The Customer Excellence Group at ServiceNow works with customers to help them achieve their business outcomes by providing prescriptive guidance. As part of the Customer Excellence Group, you will work with our customers to drive consumption, adoption, and customer satisfaction and ultimately help our customers grow their business on the ServiceNow platform by getting them to see the value of their ServiceNow investment. The Role The Principal Technical Consultant, Integrations Specialist is the functional and technical expert of a customer engagement team – consulting with customers and configuring ServiceNow Integrations based on configuration best practices – all with the goal of accelerating and driving customer business outcomes. Integrations consultants design and implement integrations between ServiceNow and third-party software platforms, programs, and applications. They are expert problem solvers with extensive programming skills and abilities in multiple coding languages and frameworks. They also resolve errors, provide support, and develop procedures to navigate complex system overlaps. They will play a crucial role in delivering transformative integration architectures that support AI solutions on the platform. What you get to do in this role: • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry., • Devising integration development plans and strategies while formulating architectures for systems integrations., • Implement the latest ServiceNow AI offerings like Virtual Agent, NLU, AI Search, Issue Auto Resolution, Task Intelligence, Document Intelligence, Generative AI and other upcoming capabilities for various customers, • Developing solutions specific to user requirements gathered in workshops., • Coordinating activities with other developers to ensure that integrations and platform functionality is designed to support the overall project., • Ensuring that best practices in integration processes are followed by the organization., • Act as an SME to solve complex user issues related to Integrations and AI solutions., • Checking and correcting conflicts in data configurations and overlaps., • Analyzing and improving current instance configuration and setup to ensure proper design to support future of customer., • Identifying, debugging, and advising on system errors or architecture issues. To be successful in this role, we need someone who has: • Active Security Clearance Required, • At least 6years of configuration/development experience for complex, highly capable, integration technologies, • Demonstrated ability to influence and consult (providing options with pros, cons, and risks) in a complex and varied customer environment, while providing thought leadership to customer sponsors/stakeholders in solving business process and/or technical problems, • Maintain at least 2 ServiceNow mainline CIS certifications, • Maintain ServiceNow Certified Application Developer (CAD) certification, • Act as a technical lead on any engagement, • Experience with architecting systems integrations and creating complex high level architecture diagrams, • Extensive experience with Integration Technologies (Web Services (REST/SOAP), middleware, LDAP, SSO, JDBC, Import Sets, Export Sets, IDR (instance data replication), Remote Tables, Remote Process, etc.) and working with SaaS technologies, • Understanding of AI Models, Deep Learning Models, and Large Language Models with a focus on Generative AI., • Experience with ServiceNow’s Predictive/Task Intelligence, AI Search, and Virtual Agent is highly valued., • Experience with development on the ServiceNow platform capabilities (Studio IDE, Mobile, Automated Test Framework, Delegated Development, Flow Designer, Source Control, APIs, and Integrations), • Experience with data management, database design, and database concepts, • Knowledge and experience with technical components such as LDAP, VPN, SSL, SAML/SSO and other widespread enterprise technologies, • Connect chat, agent chat, and virtual agent configuration and design experience, • Encryption understanding and core design principals with customers (Platform, Edge, Database, Full Disk, etc), • Understanding and/or development experience with MID Servers, Notify, Orchestration, • Strong Javascript skills with practical experience, • Experience with Self Hosted implementations and/or Domain Separation is a plus, • Experience with data management, database design, and database concepts, • Strong interpersonal skills, customer-centric attitude, and ability to operate within a culturally diverse environment, • Proven team builder with the ability to mentor and develop talent, • Analytical and problem-solving abilities, • A keen eye for detail and the ability to spot and fix errors in complex code, • Ability to perform tasks independently, • Good presentation and report-writing skills, • Up to 30% travel annually Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. ___. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ___for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At ___, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages, • Adapting guidelines for new domains and use cases, • Following project-specific rubrics and requirements How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Bachelor's or Master’s Degree in Computer Science, Software Engineering, Software Development, Computer Engineering, Information Technology or other related fields, • You have at least 3 years of professional iOS/macOS development experience, • Your level of English is advanced (C1) or above, • Mid-level proficiency in Swift 5.9+, including SwiftUI, Combine, async/await, and the concurrency model, • Hands-on experience with testing frameworks (XCTest, Quick/Nimble) and UI automation testing, • Proficiency with Xcode, Swift Package Manager, and CI/CD tools (Fastlane, GitHub Actions, Xcode Cloud), • Experience with App Store deployment and monitoring tools (Crashlytics, Firebase), • Strong understanding of architectural patterns (MVVM, Clean Architecture) and performance optimization (ARC, Instruments), • Experience integrating AI/ML capabilities (Core ML, Vision, Create ML), • Practical use of AI-assisted tools for code generation, refactoring, and test automation, • Strong skills in crash analysis, memory debugging, and performance profiling, • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please provide your resume in English and specify your proficiency level. ___At ___, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.), • Adapting guidelines for new domains and use cases, • Following project-specific rubrics and requirements How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Bachelor's or Master's Degree in Software Development, Computer Science, or other related fields., • You have at least 3 years of professional experience, including hands-on experience with Ruby testing frameworks (RSpec, Minitest, Capybara) and automation tools., • Your level of English is advanced (C1) or above., • Proficient with code review, quality analysis, and identifying/fixing code smells, anti-patterns, and test gaps in Ruby codebases., • Experience with test integration in CI/CD environments (GitHub Actions, GitLab CI, Jenkins, or CircleCI), • Experience using, integrating, or tutoring others with AI/ML or LLM-powered testing/coding solutions in Ruby projects., • Familiarity with containerization technologies (Docker), automated deployment, and scripting within Ruby environments., • Strong skills in defect documentation, profiling, and debugging Ruby applications., • Experience generating and maintaining high-quality documentation for tests, bugs, and technical debt., • Hackathon or competitive coding experience is a plus., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We’re looking for a Director, Product Management – Identity to lead the strategy and execution of the systems that identity integration, platform, and access management. This leader will own the identity infrastructure & platform that enables secure agentic operation, developer workflows, and machine-to-machine access across complex enterprise environments. You will define how 1Password enables the governance of identities (human, NHI, agents) at the enterprise scale. This includes integrations, scaling provisioning and policy enforcement, authentication/authorization architectures, and clear auditability through the full lifecycle. This role sits at the intersection of Identity, Platform, Security, and Enterprise Deployment and directly influences retention, expansion, and long-term platform durability. This is a remote opportunity within Canada and the US. What we're looking for: * 10+ years in Product Management or related field with increasing scope and leadership. * 3+ years leading PM teams in enterprise B2B SaaS. * Deep experience building or owning identity, authentication, or directory-integrated ystems. * Proven track record partnering with engineering on platform-level architecture decisions. * Experience supporting enterprise deployments involving complex IdP configurations. * Experience with SAML, OIDC, OAuth Bonus points for: * Identity & Access Management (IAM), Zero Trust, or security platforms. * Experience with: * SCIM provisioning * Directory services and group sync * Conditional access frameworks * Verifiable credentials and/or other non federated identity frameworks * Familiarity with enterprise architecture decision-making processes. * Experience operating in security-conscious or regulated markets. Leadership & Competencies: * Systems thinker who understands how identity architecture impacts activation, retention, and expansion. * Comfortable discussing authentication protocols and platform trade-offs with engineers. * Data-driven approach to onboarding and identity health metrics. * Exceptional cross-functional influencer who can align Platform, Product, and GTM. * Ability to translate complex identity infrastructure into intuitive admin experiences. * Executive-level communication skills and strong product intuition. Success in this role looks like: * Reduced friction in enterprise IdP integrations. * Measurable increase in successful SCIM and SSO deployments within 30–60 days. * Improved reliability and observability of identity infrastructure. * Faster enterprise rollouts driven by scalable platform architecture. * Clear activation KPIs tied to identity integration milestones. * Strong alignment between platform investments and enterprise growth. What you can expect: * Define the long-term strategy for 1Password’s identity motion for humans, agents, and machines. * Own capabilities across: SAML / OIDC authentication flows, provisioning & deprovisioning, just-in-time provisioning, policies and role-based access control, conditional access. * Ensure 1Password supports complex enterprise identity architectures including: agentic workflows, human delegation, multi-tenant organizations, multi-agent mappings, and machine workloads * Improve resiliency, reliability, and observability of identity integrations. * Define platform standards for authentication, authorization, and identity lifecycle management. * Partner with Engineering & Design to evolve the underlying identity architecture that supports: scalable onboarding, high-volume provisioning (agent swarms), policy orchestration, and enterprise-grade reliability * Drive architectural decisions that balance: Flexibility for enterprise customization, simplicity in admin configuration, and security-first design principles * Influence multi-product platform integration across Password Manager and Extended Access Management capabilities. * Ensure onboarding workflows are supported by durable backend systems—not just surface-level UX improvements. * Own the product strategy for: Admin controls and governance frameworks, Role-based access controls (RBAC), Delegated administration, Audit logs and compliance reporting, Ensure enterprise customers can confidently operationalize security policies at scale. * Support highly regulated industries with identity and access architecture that meets compliance expectations. * Work closely with: Platform Engineering (identity infrastructure, authentication services), Security Architecture, Customer Success & Solutions Engineering, Sales Engineering (complex enterprise deployments), and Design (admin and security experiences) * Influence multi-year roadmap planning for identity and authentication capabilities. * Drive alignment across teams on architectural trade-offs and prioritization. * Build a high-performing team of Product Managers responsible for our identity infrastructure, including integrations, scaling provisioning and policy enforcement, authentication/authorization architectures, and auditability. USA-based roles only: The annual base salary for this role is between $236,000 USD and $320,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $215,000 CAD and $291,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, ___. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See ___ for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing ___. For additional information see our ___.

For Sales Agents and Customer Service Agents: These roles sit in any of the following 30 states: AL, AZ, CO, FL, ID, IL, IN, KS, KY, MA, MD, ME, MI, MO, MT, NC, NE, NM, NV, NY, OH, OK, PA, SC, TN, TX, UT, VT, VA, WA, and WI. Out of 13,000 companies, Kin was just named one of America’s Best Custome

ngrok is an all-in-one cloud networking platform that secures, transforms, and routes traffic to services running anywhere. Instead of cobbling together nginx, NLBs, VPNs, model routers, and oodles of other tools, developers solve every networking problem with one gateway. Doesn’t matter if they’re sharing localhost or running AI workloads in production. We're trusted by more than 9 million developers at companies like GitHub, Okta, HashiCorp, and Twilio. What started as a way to put your local app on a public URL has grown into a universal gateway for API delivery, AI inference, device fleets, and site-to-site connectivity. It’s the same ngrok that millions of developers have loved and leaned on every day for years, now with the power to run production traffic at scale. A few things you should know: • We are obsessed with our pets, Viper sunglasses and Bufo (yes, the toad), • We have a designated Chief Emoji Officer - they are vital to our success!, • We like software that’s serious and culture that’s not Still reading? Good. There's more below worth your time. Our Agent team builds the software that sits at the edge of every ngrok connection. The Agent is what developers install, run, embed, and trust to expose their systems securely to the internet. It’s the first thing customers touch and the last thing we want to debug at 3am. The Agent must be fast, correct, and predictable under hostile conditions: flaky networks, broken configs, expired certs, overloaded laptops, CI environments held together by duct tape, and production traffic that does not care about your feelings. When it works, nobody thinks about it. When it doesn’t, it’s immediately obvious — and very public. • Build and evolve the ngrok Agent itself: You’ll work on the core agent that handles connection management, tunneling, authentication, and secure traffic forwarding. This is a high-performance networking system that must behave correctly across a wide range of environments and failure modes., • Own reliability at the edge: You’ll design for latency, throughput, and correctness under real-world chaos—network partitions, transient failures, misconfiguration, and resource-constrained machines. When something goes wrong, the Agent should fail clearly, safely, and explainably., • Develop SDKs and embeddable integrations: You’ll build and maintain SDKs and embedded agent components that other systems and products depend on. These need to be easy to integrate, hard to misuse, and stable over time., • Make the system observable: You’ll improve diagnostics, logging, and metrics so we can understand what the Agent is doing in the wild. When customers ask “what happened?”, you’ll help make sure we can answer with facts instead of guesses., • Ship software that runs everywhere: The Agent runs on developer laptops, servers, CI systems, containers, and occasionally very questionable hardware. You’ll ensure it behaves consistently across platforms and environments., • Work with people who care about correctness: You’ll collaborate closely with product, platform, and support teams. When something breaks, you’ll help explain why. When something is confusing, you’ll help make it boring., • You’ve built systems-level software that had to work under pressure, • You’re comfortable in Go, Rust, C/C++, or Java (bonus points for Go), • You enjoy debugging things that “shouldn’t be possible”, • You think deeply about reliability, security, and performance, • You can reason about tradeoffs and explain them like a normal human, • You care about developer experience — not just correctness Extra credit if you’ve worked on: • Networking, proxies, or agents, • SDKs or embeddable runtimes, • Observability tooling, • Open-source systems people actually use ngrok runs entirely on AWS. Engineers develop by using remote development tools and/or ssh to connect to remote EC2 environments that run a full Kubernetes cluster of the ngrok stack, closely mirroring production. The codebase is primarily Go and TypeScript. We use Postgres for persistence, Kafka for streaming, Protobuf for service boundaries, and Kubernetes, Terraform, Helm, and Buildkite to operate and ship reliably. React is used for user interfaces, and GitHub supports our development workflows and remembers everything. This is a remote position for candidates outside of the Bay Area and a hybrid role for candidates within commuting distance to San Francisco. Our Bay Area employees commute to the office on Tuesdays and Wednesdays. All candidates must be US-based, and legally authorized to work in the United States. At this time, ngrok is unable to provide visa sponsorship for this position. Applicants must be authorized to work in the United States on a permanent, ongoing basis without the need for current or future sponsorship. Senior Software Engineer • Tier 1 (SF, LA, Seattle, NYC): $180,000 – $225,000, • Tier 2 (rest of US): $165,600 – $207,000 Software Engineer III • Tier 1 (SF, LA, Seattle, NYC): $160,000 – $200,000, • Tier 2 (rest of US): $147,200 – $184,000 Job level and actual compensation will be evaluated based on factors including, but not limited to, qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), internal equity with other team members, market data, and specific work location. We provide an attractive mix of salary and equity. #LI-Remote • Health stuff that actually matters. Full premiums covered on base healthcare, dental, and vision for you. Half covered for your dependents. Mental health and well-being support included, because taking care of your brain is as important as taking care of your teeth., • Retirement matching that doesn't suck. 401(k) with 100% match up to 3% of your salary and 50% match up to another 2%. Future you will appreciate present you., • Actually flexible time off. We say "open, flexible vacation policy" and actually mean it. Take the time you need. Your manager will bug you if you're not taking enough., • Parental leave that's realistic. Up to 16 weeks if you give birth, up to 8 weeks for new parents (birth, adoption, fostering—however your family grows)., • Money to keep growing. Annual professional development budget for books, courses, conferences, or whatever helps you level up. Plus an annual home office/desk stipend to make your workspace not terrible., • Work from wherever. Co-working space stipend if you want to get out of your house but aren't near our SF office., • Lunch on us. 2x+ per week for employees onsite at our San Francisco office. Free food tastes better., • Company offsites. Twice a year we get the whole team together. It's part strategy, part bonding, part excuse to hang out with Bufo (the toad)., • Regular feedback and fair compensation. Bi-annual reviews to make sure you're getting real feedback and staying competitively compensated. No surprises, no waiting around for performance conversations.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. The Team The Customer Excellence Group at ServiceNow works with customers to help them achieve their business outcomes by providing prescriptive guidance. As part of the Customer Excellence Group, you will work with our customers to drive consumption, adoption, and customer satisfaction and ultimately help our customers grow their business on the ServiceNow platform by getting them to see the value of their ServiceNow investment. The Role The Principal Technical Consultant, Integrations Specialist is the functional and technical expert of a customer engagement team – consulting with customers and configuring ServiceNow Integrations based on configuration best practices – all with the goal of accelerating and driving customer business outcomes. Integrations consultants design and implement integrations between ServiceNow and third-party software platforms, programs, and applications. They are expert problem solvers with extensive programming skills and abilities in multiple coding languages and frameworks. They also resolve errors, provide support, and develop procedures to navigate complex system overlaps. They will play a crucial role in delivering transformative integration architectures that support AI solutions on the platform. What you get to do in this role: • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry., • Devising integration development plans and strategies while formulating architectures for systems integrations., • Implement the latest ServiceNow AI offerings like Virtual Agent, NLU, AI Search, Issue Auto Resolution, Task Intelligence, Document Intelligence, Generative AI and other upcoming capabilities for various customers, • Developing solutions specific to user requirements gathered in workshops., • Coordinating activities with other developers to ensure that integrations and platform functionality is designed to support the overall project., • Ensuring that best practices in integration processes are followed by the organization., • Act as an SME to solve complex user issues related to Integrations and AI solutions., • Checking and correcting conflicts in data configurations and overlaps., • Analyzing and improving current instance configuration and setup to ensure proper design to support future of customer., • Identifying, debugging, and advising on system errors or architecture issues. To be successful in this role, we need someone who has: • At least 8 years of configuration/development experience for complex, highly capable, integration technologies, • Demonstrated ability to influence and consult (providing options with pros, cons, and risks) in a complex and varied customer environment, while providing thought leadership to customer sponsors/stakeholders in solving business process and/or technical problems, • Maintain at least 2 ServiceNow mainline CIS certifications, • Maintain ServiceNow Certified Application Developer (CAD) certification, • Act as a technical lead on any engagement, • Experience with architecting systems integrations and creating complex high level architecture diagrams, • Extensive experience with Integration Technologies (Web Services (REST/SOAP), middleware, LDAP, SSO, JDBC, Import Sets, Export Sets, IDR (instance data replication), Remote Tables, Remote Process, etc.) and working with SaaS technologies, • Understanding of AI Models, Deep Learning Models, and Large Language Models with a focus on Generative AI., • Experience with ServiceNow’s Predictive/Task Intelligence, AI Search, and Virtual Agent is highly valued., • Experience with development on the ServiceNow platform capabilities (Studio IDE, Mobile, Automated Test Framework, Delegated Development, Flow Designer, Source Control, APIs, and Integrations), • Experience with data management, database design, and database concepts, • Knowledge and experience with technical components such as LDAP, VPN, SSL, SAML/SSO and other widespread enterprise technologies, • Connect chat, agent chat, and virtual agent configuration and design experience, • Encryption understanding and core design principals with customers (Platform, Edge, Database, Full Disk, etc), • Understanding and/or development experience with MID Servers, Notify, Orchestration, • Strong Javascript skills with practical experience, • Experience with Self Hosted implementations and/or Domain Separation is a plus, • Experience with data management, database design, and database concepts, • Strong interpersonal skills, customer-centric attitude, and ability to operate within a culturally diverse environment, • Proven team builder with the ability to mentor and develop talent, • Analytical and problem-solving abilities, • A keen eye for detail and the ability to spot and fix errors in complex code, • Ability to perform tasks independently, • Good presentation and report-writing skills, • Up to 30% travel annually Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. ___. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ___for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license.

288678 The HubSpot Product team is passionate about building tools that help businesses market, sell, serve their customers, and ultimately grow better. We build for more than 250,000 customers in over 120 countries around the world. Our team has scaled rapidly over the past few years, and our need for adaptable and remarkable product leaders has grown in kind. Our product leaders have a few things in common: they are strong visionaries with previous success in defining a strategic roadmap, working with their team to solve real customer problems, and positioning products in the market successfully. They are able to work autonomously, lead with psychological safety, and grow a team into more than the sum of its parts. We are looking for a Group Product Manager to lead our Data Platform & Context product group. This team is responsible for building the foundational systems that power how data is structured, connected, and transformed into usable context across HubSpot. As AI becomes central to CRM workflows, this platform is evolving into the context layer that powers all AI agents, automation, and customer experiences across HubSpot. You will lead a group of teams building the infrastructure and experiences that allow HubSpot products, integrations, and AI agents to reliably access, reason over, and act on customer data. This includes both structured systems (objects, APIs, query engines) and unstructured pipelines (conversations, events, signals) that together enable intelligent workflows across the platform. This GPM role will be responsible for leading a growing team of PMs focused on enabling marketers, sales reps, customer success teams, and developers to work with complete, connected, and actionable customer data. These teams include: • Data Foundations (Objects, Metadata, APIs) - Core systems that define how customer data is structured, stored, and accessed across HubSpot., • Query & Data Access (SQL, Query Frameworks, Event Pipelines) - Systems that enable reliable, scalable querying and real-time data access for both internal teams and external developers., • Unstructured Data & Signals (Conversations, Events, Content) - Pipelines that transform raw interactions into usable signals for segmentation, reporting, and AI workflows., • Context & Data Agent Platform - Systems that unify enrichment, intent, and research signals into a single context layer that powers downstream agents and product experiences. The Data Platform & Context group is a critical part of HubSpot’s long-term strategy. As HubSpot evolves into an AI-first CRM, the ability to transform raw data into high-quality, reliable context becomes a key differentiator. This team is responsible for ensuring that every product, agent, and workflow across HubSpot is powered by accurate, complete, and continuously improving customer data. In this role, you will define how HubSpot: • builds a self-improving data and context layer, • enables AI agents to operate with high-quality signals, • creates a durable data moat through compounding customer interactions If you are excited about shaping the foundation of AI-powered CRM systems and leading teams that operate at the intersection of data, platform, and product experience, we want to talk to you. • Join a deeply product-led culture and shape one of HubSpot’s most strategic platform investments, • Define and drive the strategy and roadmap for HubSpot’s Data & Context platform, • Guide new product ideas from concept to launch across both platform and AI-driven experiences, • Partner closely with Engineering and UX to build scalable, intuitive, and developer-friendly systems, • Work across teams to ensure data and context power every product experience across HubSpot, • Use data to identify opportunities and drive high-impact platform and product improvements, • Influence executive-level strategy and shape HubSpot’s long-term AI and data direction, • Build and coach a high-performing team of Product Managers, • Foster a culture of ownership, clarity, and customer-centric thinking, • Create alignment across complex cross-functional teams, • Proven experience leading and growing product management teams at the GPM, Director, or equivalent level, • Deep experience building data platforms, infrastructure, or developer-facing products, • Strong understanding of data systems such as APIs, data models, metadata systems, query engines, and event-driven architectures, • Experience working with unstructured data, signals, and large-scale data pipelines, • Experience building or integrating AI-powered products and workflows, • Strong understanding of how data powers AI systems (training data, context building, inference, evaluation), • Familiarity with AI evaluation frameworks and improving model quality using real-world product signals, • Experience with growth initiatives, platform adoption, and usage-driven product ecosystems, • Strong communication and stakeholder alignment skills across product, engineering, and leadership, • Ability to balance platform investments with end-user product outcomes, • Passion for building products that combine technical depth with great user experience, • Proven ability to coach and develop product managers, • A collaborative mindset and commitment to building inclusive, high-performing teams Pay & Benefits The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons. ___ will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s ___. Benefits are also an important piece of your total compensation package. Explore the ___ HubSpot offers to help employees grow better. At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community. Annual Cash Compensation Range: $192,288 - $307,712 USD We know the ___ and___ can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us ___. At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page ___. India Applicants: link to HubSpot India's equal opportunity policy ___. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We’re building a company___. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world. Explore more: HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found ___. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot's ___ for details on data processing and your rights.

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. About the Role We are seeking a Principal Product Manager, Agentic QM to lead the future of AI-driven quality management at Five9. In this pivotal role, you will shape the strategy and execution of groundbreaking agentic AI solutions that transform how contact centers evaluate, optimize, and elevate customer interactions at scale. As a principal-level product leader, you will drive innovation at the intersection of artificial intelligence and quality management, building autonomous AI agents that don't just analyze interactions but continuously learn, adapt, and recommend improvements. You'll position Five9 as the undisputed leader in intelligent quality management, delivering products that fundamentally change how organizations approach quality assurance. We're looking for a visionary product leader who combines deep technical expertise with exceptional strategic thinking and stakeholder influence. The ideal candidate brings a proven track record in AI/ML product management, demonstrated expertise in agentic AI architectures, and a passion for solving complex problems through autonomous intelligent systems. You should be equally comfortable discussing LLMs, RAG architectures, and multi-agent systems with engineers as you are presenting strategic roadmaps to executive leadership. This position is based in the US. You will lead and collaborate with a global team spanning the United States, Portugal, and India. What You'll Do Strategic Leadership • Define and drive the end-to-end product vision and strategy for Five9's agentic quality management platform, aligning with company objectives and market opportunities, • Own the product roadmap, balancing innovation with customer needs, competitive positioning, and technical feasibility, • Serve as the internal and external thought leader on agentic AI applications in contact center quality management, representing Five9 at industry events and with key customers, • Conduct deep competitive and market analysis, identifying emerging trends in automated quality management, agentic AI, and contact center technologies Product Development & Execution • Lead cross-functional teams across engineering, design, data science, and GTM to translate strategy into innovative AI agent capabilities, • Design and oversee the development of autonomous AI agents that perform sophisticated quality management tasks: interaction evaluation, pattern recognition, root cause analysis, coaching recommendations, and continuous improvement, • Define detailed product requirements for complex agentic systems, including agent planning, tool use, decision-making logic, and learning mechanisms, • Drive forward deployment engagements with enterprise customers, working hands-on to optimize AI agent performance and ensure successful adoption, • Balance high-level strategic thinking with tactical execution, diving deep into technical details when needed Go-to-Market & Business Impact • Develop compelling product positioning, packaging, and pricing strategies that highlight Five9's differentiated agentic QM capabilities, • Partner closely with customers, ISVs, system integrators, and partners to gather insights, validate solutions, and drive measurable business outcomes, • Lead beta programs and customer pilots, managing feedback loops and iterating rapidly based on real-world usage, • Build business cases and ROI models that demonstrate the value of agentic quality management solutions Team Development & Leadership • Mentor product managers and associate product managers, elevating the team's capabilities in AI/ML and quality management, • Champion best practices in AI product development across the organization, including responsible AI principles, evaluation frameworks, and user-centered design, • Foster a culture of innovation, experimentation, and continuous learning within the product organization What You Bring Required Qualifications • Bachelor's degree in Computer Science, Engineering, or related technical field; MBA or advanced degree is a strong plus, • 9+ years of experience in B2B SaaS product management, with significant focus on AI/ML-powered products, • Deep, hands-on understanding of AI technologies and their evolution: machine learning, natural language processing, Large Language Models, and agentic AI systems, • Proven track record of successfully launching and scaling AI/ML products from conception through growth, • Exceptional analytical and problem-solving skills, with demonstrated ability to make data-driven decisions in ambiguous situations, • Strong business acumen with experience in product positioning, pricing, and go-to-market strategy, • Outstanding communication skills, able to influence senior stakeholders and translate complex technical concepts for diverse audiences, • Experience leading through influence in matrixed, global organizations with distributed teams, • Track record of managing beta programs, running experiments (A/B testing), and leveraging customer feedback to drive product iterations Preferred Qualifications • Deep domain expertise in Automated Quality Management (AQM), contact center quality assurance, or workforce optimization technologies, • Hands-on experience designing and building agentic AI platforms, including autonomous agents with planning, reasoning, and learning capabilities, • Experience with forward deployment models, working directly with customers during implementation, onboarding, and optimization phases to drive adoption and value realization, • Strong understanding of contact center operations, quality frameworks (COPC, Six Sigma, Lean), and performance management best practices, • Technical proficiency with LLM applications, prompt engineering, RAG architectures, and agentic design patterns (ReAct, Chain-of-Thought, tool use, multi-agent orchestration), • Knowledge of AI evaluation methodologies: quality scoring, hallucination detection, bias assessment, performance monitoring, and continuous improvement, • Experience with AI agent orchestration frameworks and platforms, • Background working in fast-paced, high-growth SaaS companies serving enterprise customers, • Previous experience managing products in global, distributed teams across multiple time zones Why Five9 Join Five9 at a transformative moment as we pioneer the next generation of AI-powered contact center solutions. You'll have the opportunity to work on cutting-edge agentic AI technology, shape products used by thousands of contact centers worldwide, and make a meaningful impact on how organizations deliver exceptional customer experiences. Work Location: This role is fully remote for candidates who reside outside the 50 mile radius of our San Ramon office. For candidates who reside within 50 miles of our San Ramon location, this role is Hybrid and would require 3 days a week (M, W, TH) in our San Ramon office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans. Our total reward package also includes: • Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching., • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents., • Generous employee stock purchase plan., • Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave. All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties. The US base salary range for this role is below. $135,300—$398,200 USD Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer. View our privacy policy, including our privacy notice to California residents here: ___. Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.

POS-19085 Role Summary Our mission at HubSpot is to help millions of organizations grow better. HubSpot Academy is a globally renowned education platform attracting hundreds of thousands of professionals who want to grow their careers and make an impact at their organizations. As a Senior Product Manager I on the Academy Growth Product team, you’ll help evolve HubSpot Academy into an AI-powered educational assistant deeply integrated into the HubSpot platform. You’ll define how HubSpot users discover, engage with, and are matched to relevant training through personalized learning experiences powered by ML recommendations, predictive search, gamification, and conversational UI built on HubSpot’s Breeze AI platform. This role sits at the intersection of AI, education, and growth — shaping how millions of users learn and unlock more value from HubSpot. * Create a shared vision and cohesive roadmap for AI-powered Academy discovery and personalization as a core member of the Product Triad (Product, Engineering, UX). * Define and deliver intelligent matching systems that guide users to the right content at the right time using ML, predictive search, and conversational AI. * Explore ambiguous problem spaces across AI-driven recommendations, gamification, and conversational UI to improve user engagement and learning outcomes. * Guide new product initiatives from early discovery through launch, experimentation, and iteration. * Engage directly with internal and external users to deeply understand workflows, pain points, and success metrics. * Use quantitative data and qualitative research to test assumptions, validate opportunities, and continuously improve user experience. * Partner cross-functionally with Design, Engineering, Learning Science, Analytics, and GTM teams to drive alignment and measurable outcomes. * Contribute to a high-performing, psychologically safe team culture grounded in autonomy, ownership, and growth. * Experience building AI assistants, AI agents, or agent-based skills. * Experience prototyping product concepts using AI prototyping tools. * Demonstrated experience launching customer-facing products successfully. * Strong customer empathy and a drive to deeply understand and solve meaningful problems. * Multidisciplinary thinking that combines market, business, and technical insights to evaluate tradeoffs. * Ability to articulate product vision clearly to a variety of audiences, including technical and non-technical stakeholders. * Experience working cross-functionally with Engineering, Design, UX Research, and Analytics partners. * Excellent communication, influencing, and interpersonal problem-solving skills. * Ability to make decisions, test assumptions, and iterate in fast-paced, ambiguous environments. * Experience managing internal and external stakeholders. * Understanding of the competitive software and online learning landscape. * Understanding of two-sided marketplace dynamics. * Bachelor’s degree or equivalent experience. * Experience working in edtech or with learning management systems. * Experience building front-office business applications for SMB audiences. * Understanding of and passion for learning science and/or neuroscience. * Location: United States * Work location preference eligibility: Remote * Travel/Shift: Minimal travel expected Pay & Benefits The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons. ___ will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s ___. Benefits are also an important piece of your total compensation package. Explore the ___ HubSpot offers to help employees grow better. At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community. Annual Cash Compensation Range:$158,100—$253,000 USD We know the ___ and___ can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us ___. At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page ___. India Applicants: link to HubSpot India's equal opportunity policy ___. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We’re building a company___. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world. Explore more: HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found ___. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot's ___ for details on data processing and your rights.

1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. About the team The Developer Experience Programs team shapes how engineers at 1Password work, and how engineers work shapes what 1Password ships. We run the programs, measurement, enablement, and cross-functional mechanisms that support developer experience across the software development lifecycle, and we build the feedback loops that help Engineering adopt new capabilities and continuously improve the speed and quality of delivery. The team sits within Engineering Operations and works closely with Platform Engineering, Security, IT, and Finance. Platform Engineering builds and owns the underlying developer tooling, data platforms, and AI workflow systems. DevEx Programs partners with them on the decision, rollout, enablement, and measurement work that help those investments land effectively across Engineering. The role As a Senior Business Program Manager, you will run the programs and mechanisms that turn developer experience signals into program priorities for engineering at 1Password. You will design and own how we measure developer experience and effectiveness, and you’ll translate those findings into clear program decisions, including developer tooling and our impact measurement strategies. The immediate priority is AI-accelerated software delivery, where demand is highest and traditional developer productivity measures are being tested by new tools and ways of working. This role is coming in at a formative stage: the team is new, foundational mechanisms are being stood up, and you’ll have a real opportunity to help shape how 1Password ships software. This IC role is for a strong cross-functional operator who can bring structure to ambiguous decisions, turn signals into clear recommendations, and help partners across Platform Engineering, Security, IT, and Finance move to better, faster program decisions. This is a remote opportunity within Canada and the US. What you will do: * Translate developer experience signals into program priorities. * Synthesize tooling data, measurement outputs, pilot results, and developer feedback into actionable insights. * Bring those insights into portfolio planning, measurement reviews, and roadmap conversations with partner teams. * Turn insights into clear recommendations on where to invest, expand, rationalize, or retire tools and related programs. * Lead the developer experience measurement program. * Own the day-to-day program leadership for 1Password’s developer experience measurement platform: coverage, data quality, reporting cadences, and how signals are used operationally. * Partner with Platform Engineering on metrics platform priorities, instrumentation, and data integrity, while owning program structure, stakeholder alignment, and operating cadence. * Build the operating mechanisms that make developer experience and tooling data useful for decision-making.⁠ * Support investment and portfolio decisions with adoption reporting, usage analysis, and impact-oriented recommendations. * Evolve the measurement model as software delivery changes, especially where traditional signals become less representative of AI-native work. * Run developer tooling evaluation, pilots, and portfolio governance. * Own intake, prioritization, and evaluation workflows for developer tools across the SDLC, with a near-term focus on AI tooling. * Maintain the evaluation frameworks, decision criteria, and review mechanisms used to assess new tools and changes across the portfolio. * Design and run structured pilots with clear hypotheses, baselines, success criteria, and decision points. * Coordinate security review, integration approval, and related governance, including emerging integration patterns such as MCPs. * Partner with IT, Finance, and Procurement on provisioning, licensing, renewals, and cost visibility across the portfolio. What success looks like: * Engineering ships faster and with higher confidence because tooling decisions are streamlined and grounded in clear evaluation frameworks, pilots, and cross-functional input from Platform Engineering, Security, IT, Finance, and Procurement. * The tooling portfolio is actively managed, with clear visibility into what to adopt, expand, rationalize, or retire. * The developer experience measurement program is trusted and regularly used to guide investment and prioritization, with operating mechanisms that leaders and partner teams rely on. * Investment recommendations are backed by a clear mix of adoption data, usage trends, developer feedback, pilot results, and measurement insights. * The measurement model keeps pace with how software delivery is changing, especially around AI-native work. What we are looking for: * 5+ years of experience leading complex cross-functional programs in a technical organization, especially where decisions are shared across multiple stakeholders. * Background in developer experience, developer productivity, engineering effectiveness, internal platform programs, technical program management, or a related function. * Familiarity with AI-accelerated development workflows, and an understanding of the tools, adoption patterns, and measurement challenges that come with them. * Working familiarity with developer productivity and developer experience measurement frameworks (DORA, SPACE, DX Core 4, or similar), and a point of view on where they help and where they fall short. * Ability to design evaluation frameworks, structure pilots, and turn mixed quantitative and qualitative inputs into clear recommendations. * Strong judgment in ambiguous environments. You bring structure to messy inputs, clarify tradeoffs, and help teams move to decisions. * Comfort partnering with engineering teams and technical leaders without needing to be an engineer yourself. * Experience coordinating across partner functions such as Security, IT, Finance, or Procurement. * Strong written and verbal communication, including executive-ready recommendations, pilot readouts, and concise decision-oriented summaries. Nice to have: * Direct experience with AI developer tools such as coding assistants, code review tools, or agent frameworks. * Hands-on experience with developer productivity measurement platforms or dashboards (e.g., DX, Jellyfish, LinearB, or in-house equivalents). * Background in software engineering, engineering management, or technical program management. USA-based roles only: The annual base salary for this role is between $115,000 USD and $161,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $101,000 CAD and $141,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, ___. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See ___ for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing ___. For additional information see our ___.

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to ___. Job Title: Founding Growth at JigsawStack Company Description: JigsawStack - AI startup building specialized small models for backend automation Job Description: As the first Founding Growth hire at JigsawStack, you will architect the entire GTM engine from the ground up. You will own the automation of outbound systems, lead enrichment, and developer-focused distribution. This is a high-impact, technical growth role designed for an experimental operator who leverages AI to scale pipelines. Location: San Francisco, USA Why this role is remarkable: * Architect the entire GTM engine as a founding team member, working directly with the founders to shape the company's long-term distribution playbook. * High-velocity environment where you power thousands of developers and process billions of tokens monthly using state-of-the-art specialized AI models. * Exceptional autonomy to experiment with the latest AI tooling (HeyGen, n8n, ReoDev) to 10–100x your output and reach a global developer audience. What you will do: * Design and manage automated multi-channel outbound sequences and lead enrichment workflows using tools like Lemlist, n8n, and HubSpot. * Turn website engagement and LinkedIn intent signals into actionable ABM plays and smart alert systems for the sales team. * Build and optimize community-led content workflows across developer platforms including Reddit, Hacker News, X, and technical newsletters. The ideal candidate: * 1–2+ years of technical growth or GTM automation experience within a high-growth, VC-backed B2B SaaS or AI startup environment. * Hands-on technical proficiency with SQL, APIs, and web scrapers to manipulate data and maintain 99% uptime for complex GTM workflows. * Deep understanding of developer ICPs with a proven ability to write compelling outbound copy and design sophisticated lead scoring models. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit ___. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Who We Are: Lowenstein Sandler is a one of the most sophisticated law firms in the United States, with over 400 lawyers and 300 business services professionals serving clients from offices in New York, Palo Alto, New Jersey, Utah and Washington, DC. Our primary administrative offices are located in Roseland, New Jersey, where we are consistently ranked among the best places to work. We recruit candidates who seek a collaborative, entrepreneurial culture that prioritizes our clients, our colleagues, and the communities where we work and live. Committed to career development and to an inclusive workplace, the firm offers many programs and opportunities for personal and professional growth. We seek professionals for our business services group who share these values. What You Will Do: The AI Technologist / Engineer will design, build, and operationalize AI-powered solutions that improve the efficiency, accuracy, and intelligence of legal and business workflows across the firm. Working closely with attorneys, business professionals, and technology colleagues, this individual will identify opportunities, deliver measurable outcomes, and serve as the firm's subject matter expert on the latest AI platforms and developer tooling. This is a hands-on engineering role for someone who is equally comfortable prototyping a new AI workflow, evaluating emerging platforms, and translating complex capabilities into practical firm value. Essential Job Requirements: • Serve as the firm's internal expert on generative AI platforms including Anthropic Claude, OpenAI ChatGPT, Google Gemini and NotebookLM, and Microsoft Copilot and various legal point solutions, evaluating new capabilities and advising on appropriate use cases., • Use Claude Code for AI-assisted software development, leveraging agentic coding workflows to accelerate delivery across the team., • Design and implement secure agentic AI frameworks, including orchestration of multi-step autonomous workflows, tool integration, and guardrails to ensure safe, auditable, and policy-compliant AI operations., • Design, develop, and deploy AI-assisted tools and workflows using leading AI platforms and APIs., • Build and maintain integrations with the firm's core systems (e.g., document management, practice management, intake/conflicts, and data platforms) leveraging AI capabilities., • Develop and maintain context engineering and prompt engineering standards, including system prompt design, context window management, and retrieval augmentation strategies, alongside evaluation frameworks and responsible AI governance practices appropriate for the legal industry., • Apply security-by-design principles to AI implementations, including data classification, access controls, encryption standards, and model input/output validation to prevent data leakage, prompt injection, and unauthorized access to sensitive information., • Evaluate vendor AI solutions and produce clear build-vs-buy recommendations for leadership., • Document architectures, integration patterns, and user guides to ensure firm-wide knowledge transfer and supportability., • Stay current with the AI landscape, bringing forward actionable insights on how emerging capabilities can benefit the firm.Skills, Knowledge and Abilities:, • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or related field., • 3+ years of software engineering or AI/ML engineering experience., • Strong programming skills in Python, JavaScript/TypeScript, React and Node.js., • Experience with REST APIs, JSON, and modern integration patterns., • Experience with C# and the .NET framework., • Proficiency in T-SQL, including writing and optimizing queries, stored procedures, and views against relational databases (SQL Server preferred)., • Proficiency with Visual Studio Code (VS Code) as a primary development environment., • Demonstrated experience with context engineering principles, including context window structuring, dynamic context assembly, and grounding strategies to maximize LLM accuracy and reliability., • Demonstrated experience using AI coding tools (e.g., Claude Code, GitHub Copilot, Codex, or Cursor/Windsurf) to modify, extend, or upgrade existing applications., • Hands-on proficiency with the Anthropic Claude platform and Claude API (including system prompts, tool use, and multi-turn conversation design)., • Proficiency with Claude Code for AI-assisted and agentic software development workflows., • Demonstrated experience with OpenAI ChatGPT and the OpenAI API., • Working knowledge of Google Gemini and NotebookLM for enterprise and research workflows., • Familiarity with Microsoft Copilot and its integration into Microsoft 365 and Azure environments., • Working knowledge of AI data security principles, including secure prompt design, output filtering, data minimization, and least-privilege data access patterns for LLM-based systems that handle confidential or sensitive information., • Solid written and verbal communication skills; ability to present technical concepts to non-technical stakeholders.Preferred Qualifications:, • Experience with MCP (Model Context Protocol) server development and agentic AI frameworks., • Experience with RAG (retrieval-augmented generation) architectures and vector databases., • Experience with Azure OpenAI Service., • Experience with Azure AI Foundry for deploying, managing, and evaluating AI models and agent workflows in enterprise Azure environments., • Familiarity with Microsoft Fabric, including data lakehouse architecture, OneLake, Data Pipelines, and semantic model development., • Experience with Harvey AI or similar legal-specific AI platforms., • Familiarity with legal technology platforms such as Aderant, Intapp, iManage, Vuture, or InterAction. Disclaimers: This job description is not designed to cover or contain a comprehensive listing of all activities, duties or responsibilities required by employee. Lowenstein Sandler LLP is not accepting resumes from search firms for this position. Regardless of past practice, all resumes submitted by search firms are to be deemed the sole property of Lowenstein Sandler LLP, and no fee will be paid in the event the candidate is hired by Lowenstein Sandler LLP as a result of the referral. Lowenstein Sandler LLP is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, veteran status, gender identity, genetic information, or any other characteristic protected by federal, state, or local law.

You'll own the growth engine behind how Firecrawl acquires and activates users — across content, SEO/GEO, product marketing, partnerships, social, and emerging agent-first distribution channels.This is not a narrow channel role.You'll run the operating system behind our signup growth: pacing, chan

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The Partnership Engineering team owns the engineering surface area required to make external partnerships and integrations successful from early Strategic Partnerships discussions through GA launch. We provide technical validation, build shared integration infrastructure, and enable scalable, repeatable integrations through strong documentation, tooling, and direct partner engagement. This team sits at the intersection of product, platform, and external partners. We work across new platform systems, Developer Platform capabilities, browser integrations, and SDK surfaces to ensure integrations are secure, extensible, and built to last. As a Senior Developer on Partnership Engineering, you’ll design and build the integration patterns, components, and tooling that power high-impact external partnerships. You’ll work directly with partners during active integrations, contribute to shared infrastructure, and help turn one-off deals into reusable capabilities. This is a senior individual contributor role with broad scope. You’ll operate independently, shape technical direction within integrations, and influence platform evolution based on real-world partner needs. This is a remote opportunity within Canada and the US. What we're looking for: * Strong backend or full-stack engineering experience building APIs, SDKs, platform capabilities, and integrations with AI-native technologies (LLM APIs, agent frameworks, embeddings, or retrieval systems) * A track record of delivering complex integrations across organizational boundaries * Comfort engaging directly with external technical stakeholders and representing engineering decisions clearly * Experience designing secure systems, including authentication, authorization, and policy-driven access models * Ability to reason about partner architectures and translate them into pragmatic integration designs * Clear technical writing and documentation skills * Strong ownership mindset you drive work forward without waiting for perfect clarity * Sound judgment on when to build reusable infrastructure versus solving a narrow partner need * Experience building or maintaining developer platforms or SDK ecosystems * Familiarity with browser integrations or extension architectures * Experience migrating systems to new platform primitives or security models * Hands-on experience integrating with external AI companies or AI-native technologies such as LLM APIs, agent frameworks, embeddings, or retrieval systems What you can expect: * Lead technical design and implementation for complex external integrations spanning SDKs, service accounts, browser surfaces, new platform systems, and AI-native platforms * Partner closely with the Strategic Partnerships team to validate feasibility, assess partner architectures, and shape practical integration approaches * Build and extend platform components required to support in-flight integrations * Identify common integration patterns and abstract them into reusable infrastructure * Contribute to the external integrations program, including tracking lifecycle progress from initial discussion through GA * Produce clear technical artifacts (design docs, sequence diagrams, integration guides) that support both internal alignment and partner execution * Improve self-service documentation and tooling so integrations become increasingly plug-and-play * Support partner migrations to new platform capabilities, including new platform systems-based systems with auditing and policy controls * Use focused POCs to de-risk new integration patterns, including integrations with external AI platforms and model providers, and inform platform investments USA-based roles only: The annual base salary for this role is between $153,000 USD and $214,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $144,000 CAD and $202,000CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, ___. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See ___ for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing ___. For additional information see our ___.

POS-24664 Remote - EST, CST We’re looking for a Senior Product Manager to lead our AI-based Activation strategy for Free and Starter customers. This role focuses on helping small businesses reach their first meaningful outcome in HubSpot quickly and confidently. Today, many customers face unnecessary friction during onboarding and early setup, which slows time-to-value and limits long-term success. You will be responsible for improving activation outcomes by reducing setup complexity, increasing intelligent guidance, and expanding automated onboarding capabilities. This role sits at the intersection of product, data, and AI-enabled experiences, and plays a critical part in driving activation, early retention, and downstream monetization for our downmarket customers. In this role you’ll get to: • Drive activation outcomes for Free and Starter customers by translating broader strategic direction into benefit-first experiences that reduce cognitive load, build momentum, and help customers reach their first meaningful outcome quickly and confidently., • Translate customer and data insights into action by identifying friction in onboarding, setup, and early product usage and iterating toward higher first-goal activation and faster time-to-value., • Design intelligent, automated onboarding systems that reduce manual setup by using customer context to pre-configure relevant elements, thoughtfully balancing automation and required input to ensure scalable, trustworthy experiences., • Build AI-enabled product behavior by developing and refining prompts, sub-agent workflows, and evaluation approaches that improve onboarding decisions and outputs over time., • Drive end-to-end experimentation and scale what works — shaping hypotheses, running A/B tests with Data Science, analyzing results, and operationalizing successful patterns into repeatable systems., • Align and manage cross-functional stakeholders (Product, Engineering, Design, Data, GTM) by synthesizing inputs, navigating tradeoffs, and bringing teams along through clear decisions and crisp communication., • Define and operationalize success metrics across activation and beyond (leading + lagging indicators), with dashboards and ongoing monitoring to guide prioritization and decision-making. We are looking for people who have: • 4+ years of Product Management experience, with ownership of measurable product outcomes., • Experience leading experimentation programs, including hypothesis development, A/B testing, and results analysis, with strong quantitative fluency (funnels, cohorts, activation metrics, behavioral data)., • Experience improving onboarding, activation, or lifecycle performance in a SaaS or product-led growth environment., • The ability to synthesize qualitative and quantitative insights into clear product strategies and structured, data-backed plans., • Comfort operating in ambiguous, highly interdependent environments, driving clarity, prioritization, and alignment across stakeholders., • Strong product taste and attention to detail, with the ability to refine complex, interaction-heavy experiences into simple, intuitive outcomes., • Strong written and verbal communication skills, with the ability to align teams around a shared vision and bring diverse perspectives into a cohesive plan., • Hands-on experience working with AI-enabled or automated product experiences, with a strong interest in applying AI thoughtfully to improve customer outcomes. As a member of the Product Management org at HubSpot, you’ll: • Join a ___ that truly puts the customer first, • Create and advance an ambitious product strategy that’s driven by customer needs, business goals, powerful data, and global market indicators, • Partner closely with colleagues in UX and Engineering to create a high-value product that’s both powerful and easy to use, • Use your voice, share your perspective, and have a real impact based on your point of view, • Know what will lead to getting promoted, and why, thanks to clear expectations and robust career paths, • Be empowered to show up as your ___ and choose a work style and location where you can ___, whether that’s at home, in an office, or a blend of the two., • Read more about our shared product principles ___. Pay & Benefits The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons. ___ will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s ___. Benefits are also an important piece of your total compensation package. Explore the ___ HubSpot offers to help employees grow better. At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community. Annual Cash Compensation Range: $158,100 - $253,000 USD We know the ___ and___ can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us ___. At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page ___. India Applicants: link to HubSpot India's equal opportunity policy ___. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We’re building a company___. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world. Explore more: HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found ___. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot's ___ for details on data processing and your rights.

TrueCar is a leading automotive digital marketplace, and we are on a mission to make car buying and selling easy, transparent, and efficient. We work to empower consumers with data and foster connections with our network of Certified Dealers who share our belief that truth, transparency, and fairness are the foundation of a great experience. We forge partnerships to power car-buying programs for some of America’s most trusted brands. And we continually innovate to provide useful tools, research, market context, and pricing transparency to help consumers feel empowered and confident throughout their journey. As consumers’ priorities and shopping habits shifted, so did we. We are building a modern-day marketplace and invite you to join the TrueCar Crew. You can have a real and direct impact on our journey as we continue to evolve and revolutionize the car-buying and selling experience. The Opportunity: TrueCar is seeking an ambitious sales professional with a passion for helping automotive dealers grow their business. The Business Development Manager is responsible for closing accounts for their assigned book of business to achieve revenue and profitability growth aligned with strategic goals. Reporting to the Director, Dealer Services, the Business Development Manager is responsible for identifying, developing, and managing relationships at all levels within assigned and new accounts, acting as a liaison between the dealer and TrueCar, understanding the needs of the dealer, and educating dealers on TrueCar products as solutions to their dealership needs. This position requires strong coordination with cross-functional teams, including dealer performance, dealer operations, and dealer training teams. The ideal candidate for this role will reside in the Charlotte, NC, or Raleigh, NC areas. How you will contribute to TrueCar’s success: • Identify, develop, manage, and close new business opportunities at assigned and new accounts, ensuring cross-functional and organizational alignment., • Build a strong 90-day sales pipeline to ensure a long-term and sustainable sales roadmap within your book of business., • Establish and maintain strong relationships with senior leaders and key decision-makers at dealerships., • Meet or exceed sales goals within an assigned book of business. Independently grow an assigned book of business and actively collaborate with the Account Managers group to retain accounts., • Prepare and present proposals and negotiate terms and conditions with dealers., • Support in dealer escalations with all involved functional areas, including dealer performance and sales operations teams, to assure approval and success. Support resolution of challenges where required., • Serve as liaison between the dealer, dealer performance manager, and dealer implementation team with respect to product implementation and continuous product management., • In partnership with the dealer training team, learn about new or upcoming products and features, ensuring a high level of personal proficiency in knowledge and functionality of products. Serve as subject matter expert in TC products., • Support a team environment with strong morale and positive energy anchored on sales goals., • Report and record all sales activity notes within Salesforce and communicate properly with applicable team members., • Serve as a change agent, leading change and acting as a catalyst for continuous improvement., • Support in the management of accounts receivable for assigned accounts., • Demonstrate a high level of attentiveness toward customers and actively contribute to a culture that encourages high-quality service with a sense of urgency., • Develop trusting relationships and open communication, accepting feedback (up and down)., • Additional ad hoc responsibilities as determined by the needs of the business. Your Expertise: • Proven success in retail sales in an automotive dealership environment., • Experience in digital media advertising., • Excellent communication and presentation skills, with the ability to listen for understanding, influence outcomes, and negotiate with clients., • Proven ability to identify, initiate, negotiate, and close deals., • Proven track record of consistently meeting and/or exceeding sales goals., • Ability to formulate, implement, and execute sales strategy, plans, and tactics in a competitive environment., • Experience with Salesforce or other Customer Relationship Management tool utilization., • Experience interfacing with client contacts at various levels and demonstrated ability to effectively present information, including complex technical content, and respond to dealer requirements/requests., • Demonstrated understanding of client standards and requirements as they pertain to offered products, features, and capabilities., • Strong sales skills with the ability to create tangible interest for new ideas and product opportunities with clients., • Ability to communicate client requirements and methodologies to the internal organization to ensure alignment., • High integrity, self-starter, strong work ethic, with a high level of energy., • Tech-savvy with the ability to understand, interpret, and present data using a consultative approach., • Ability to grasp new concepts quickly with an open mind for change and a willingness to solve problems., • Strong understanding of auto dealerships, both larger dealer groups and family-owned., • Ability to travel domestically by airplane or car, including overnight trips up to 75% of the time Please note that final interviews may be conducted in-person at the Company's sole discretion. Base salary + target incentive: $155,000 - $165,000 Your TrueCar Experience At TrueCar, we champion remote work because we know great work can happen anywhere. This flexibility allows our TrueCar Crew to live and work from anywhere in the U.S. (with some role-based exceptions). To support our remote team, we provide a home office setup that suits their needs and offer monthly reimbursements for phone and internet connectivity. You will receive excellent benefits that include, but are not limited to, 100% employer-paid health, vision, and dental premiums; a 401(k) plan with company contributions; a wellness reimbursement account; and learning & development reimbursement opportunities. We also understand the importance of recharging, so we offer flexible PTO for exempt TrueCar Crew Members and a generous PTO accrual policy for non-exempt TrueCar Crew Members, in addition to 14 company-paid holidays and 2 floating holidays. In short, we care deeply about our Crew Members and have designed employee-centric programs that reflect this. At TrueCar, we believe in the power of diversity to create a deeper understanding of our consumers and partners, driving innovation in our products. We welcome a workforce that reflects the diversity of car-buying consumers and encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other characteristic protected by applicable law. We will consider qualified applicants with arrest and conviction records in accordance with applicable law. Additionally, TrueCar will provide reasonable accommodations for qualified individuals with disabilities. TrueCar does not accept unsolicited agency submissions. If you are based in California, we encourage you to read this important information for California residents linked ___. #LI-Remote

Oracle HCM Solutions Consultant - Oracle HCM HR Helpdesk Lead Duration: 3 months Contract + Extension Location: 55 Water Street, Central Office, New York, NY - 10041 Start Date: 05/11/2026 Hours Per Week: 35 Shift Time: 9:00 AM-5:00 PM Skills and Experience: Required PEOPLESOFT (LEGACY) REPORTING & ANALYTICS SELF SERVICE & KNOWLEDGE MGMT ORACLE HCM CORE ORACLE HR HELPDESK KEY RESPONSIBILITIES: Lead design workshops with HR operations and HR leadership to define client's HR service delivery model, case management, routing logic, and SLA framework within Oracle HR Helpdesk. Architect and configure Oracle HR Helpdesk including service request categories, case routing rules, escalation workflows, SLA configuration, and agent workspace design reflecting the full complexity of client's multi-union, multi-facility HR inquiry landscape. Design routing and escalation logic, including facility-based routing, specific inquiry handling. Govern the knowledge base content strategy including employee-facing knowledge articles, FAQ design, and self-service content for Oracle Cloud navigation, scheduling profile inquiries, payroll questions, and PeopleSoft-to-Oracle transition guidance. Ensure Helpdesk case categories and routing logic reflect the Oracle HCM data model, including how Position, Assignment, Location, Department, Benefits, Comp and Payroll record changes drive HR case context and classification. Lead test phases for Oracle HR Helpdesk functionality, coordinating test scenario design with HR operations, OCS, and facility-level HR teams. Develop Helpdesk performance dashboards and reporting using OTBI covering case volume, resolution time, SLA compliance, escalation rates, and inquiry trend analysis by facility, department, and category. Govern functional and technical design documentation for Oracle HR Helpdesk, maintaining traceability to client's service delivery requirements and escalation obligations. Partner with Oracle Cloud workstream leads (Scheduling, Payroll, Time & Labor, Comp and Core HCM) to ensure Helpdesk case categories and knowledge content accurately reflect known system complexity including scheduling eligibility, and payroll cutoff-sensitive inquiries. Mentor helpdesk analysts and serve as the functional escalation point for HR Helpdesk design and configuration questions. REQUIRED QUALIFICATIONS: Minimum 2+ years implementing Oracle HR Helpdesk or equivalent enterprise HR service delivery platforms (ServiceNow HR, Salesforce Service Cloud) in large, complex organizations. Minimum 2 full life-cycle Oracle Cloud HCM or HR service delivery implementations, preferably in healthcare or public sector environments. Deep expertise configuring case routing rules, SLA frameworks, and escalation workflows including routing logic and escalation pathways. Strong understanding of the Oracle HCM data model including Position, Assignment, Location, Department, and Payroll records sufficient to govern case classification and routing logic accurately. Demonstrated experience designing knowledge base content strategies for large-scale HCM system transitions, including content for new-platform navigation and legacy-to-new system cross-reference inquiries. Experience designing Helpdesk configurations that are sensitive to payroll cutoff cycles, scheduling profile complexity, and HR inquiry spikes. Familiarity with PeopleSoft legacy HR service processes and common inquiry types to inform Oracle Helpdesk category design and knowledge base content.

Job Description Looking for an experienced loan operations professional to join the FID Secured Lending (FSL) operations team on a temporary basis. The FSL business is in a period of significant volume growth, and this role exists to provide immediate production capacity in loan booking, participant servicing, and agency servicing — all within LoanIQ. This is a hands-on production role. We need someone who can process transactions from day one with minimal ramp-up. Prior experience at a major syndicated lending institution (agent bank or participant) is essential. Key Responsibilities: Loan Booking & Deal Setup: • Book new loan facilities in LoanIQ based on credit agreement terms, including deal, facility, and loan-level hierarchy setup., • Extract and input key commercial terms from credit agreements: pricing grids, commitment amounts, maturity dates, repayment schedules, borrowing base structures, financial covenants., • Set up deal economics accurately to support correct regulatory capital calculation, risk exposure, and credit availability., • Coordinate with front office, legal counsel, and product control on deal closing mechanics and funding instructions. Participant Servicing: • Process lifecycle servicing events for deals where the firm holds a participant position: interest payments, fee payments, principal repayments, rate resets and rollovers., • Reconcile agent bank notices against LoanIQ records; investigate and resolve discrepancies in payment amounts, rates, or accrual periods., • Monitor and process borrowing base certificates, compliance certificates, and covenant reporting as received from agent banks., • Handle facility amendments, extensions, and waivers on participant positions, updating LoanIQ deal structures accordingly. Agency Servicing: • Perform agent bank servicing functions in LoanIQ for deals where the firm acts as administrative agent or lead arranger., • Process and distribute interest, fee, and principal payments to the lender syndicate; calculate pro-rata and non-pro-rata distributions., • Manage lender positions following primary syndication, secondary trade settlements (assignments and participations), and commitment changes., • Generate and distribute agent notices to the lender group: drawdown notices, rate-setting notices, paydown notices, amendment and waiver requests., • Process SOFR rate resets calculate all-in rates including applicable margins and floors, and initiate rollover transactions. Controls & Reporting: • Ensure all transactions are processed within established SLAs and in accordance with operational procedures and risk controls., • Escalate exceptions, fails, and breaks promptly through the appropriate channels., • Support month-end and quarter-end processing, including accrual verification and GL reconciliation support. Required Qualifications: • Minimum 3-4 years of hands-on experience in syndicated loan operations at a bank, fund administrator, or financial institution., • Direct, daily working experience with LoanIQ — this is non-negotiable. Candidates must be able to navigate deal/facility/loan hierarchies, process servicing events, and troubleshoot system issues independently., • Demonstrated experience in at least two of the following three areas: loan booking/deal setup, participant servicing, agency servicing., • Understanding of SOFR-based lending conventions, including rate lookback mechanics, compounding methods, and fallback provisions., • Ability to read and interpret credit agreements, amendments, and agent notices to extract operational terms., • Strong attention to detail in a high-volume, deadline-driven environment. Preferred Qualifications: • Prior experience at a bulge-bracket or large regional bank in a loan operations or loan servicing role (in the big banks)., • Experience with structured credit products: CLO warehouses, CRE warehouses, subscription finance / capital call facilities., • Experience with Microsoft Dynamics or similar case management / workflow tools.

The Company Standard Practice AI is building the next generation of foundational tools for medical practices. Over one million healthcare professionals spend 4.5 hours each day on the phone. Standard Practice is a voice AI platform that automates medical practices outbound calls to insurance, patients, and pharmacies. Our AI agent completes calls as an employee would, all without someone having to sit on the phone. We help medical practices generate more revenue, faster, and focus on care, not paperwork. Today, we're using voice AI to transform medical practice operations. Looking forward, we're building the next set of foundational tools that power medical practices across the country. We’re growing fast and raised over $10 million from Bloomberg Beta, Tiger Global, Wing VC, A* Capital, and Expa. Our HQ is located in Flatiron, New York City. Responsibilities • Deliver end-to-end improvements to backend logic, APIs, and workflows, • Proactively identify issues via telemetry and fix them with automation, • Reduce the need for reactive support, • Triage, solve, and deploy bug fixes, • Build features intelligently with help from others Requirements • Background in CS, Engineering, or other technical field, • 0-2 years of professional software engineering experience, • Skilled in Python and familiar with related frameworks (Django, FastAPI, etc.), • Experience working with relational databases (Postgres, etc.), • Lives in or is willing to move to NYC Benefits • Competitive salary and equity ownership, • Excellent medical, dental, and vision plans, • 401k and commuter benefits, • Budget for the technology tools you need, • Education stipend

Comfort participating in remote, part time studies. If the idea of getting paid to voice your opinions, test products, and contribute to market innovation appeals to you - and you're looking for flexible, work from home part time opportunities — this is your chance!. Earn up to $750 a week in your

Proven ability to build and maintain production-grade software with modular separation (e. We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. AI automation, or complex systems integration.

SnapLogic is seeking a Staff Software Engineer to join our Agent Creator Team. As a Staff Software Engineer, you’ll take ownership of the design, development, and deployment of complex integrations that utilize cutting-edge AI technologies to drive automation and enhance product functionality. Com

A little about us…Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. Transportation technology is a hot market, and we’re leading the charge with raving fans and new customers signing up every day. We raised $450M in our Series D funding round in March of 2025 and are on an exciting trajectory as a company. Fleetio is also a proud ___! More about our team and company: • Fleetio overview video: ___, • Our careers page: ___ Fleetio is seeking a Staff Software Engineer to be the founding engineer on our new Leverage team. The Leverage team's mandate is to make every person at Fleetio more productive by building the knowledge infrastructure that connects our internal data to the AI tools employees already use every day. At other companies, this work falls under "productivity engineering" or "internal tools." We call it Leverage because the scope is broader: serve the entire company, not just engineering. This is not a blank slate. Fleetio engineers are already using AI tools daily, and an organic ecosystem of shared skills and integrations has emerged across the engineering org. You will build on that momentum, not start from zero. Your job is to add the enterprise capabilities this ecosystem needs to scale: identity and auth, structured access to internal data, governance, and quality standards. You will design and build the context layer that connects Fleetio's distributed knowledge to the AI tools our team already uses. You will work directly with the Leverage team lead, and together you will define the technical direction for everything this team builds. This is a remote opportunity open to candidates in the United States, Canada, or Mexico. • Watch our culture videos: ___, • Engineering culture, interview process, and videos: ___, • Fleetio Go overview video: ___, • More about the Fleetio platform: ___, • API docs: ___, • Test drive Fleetio to get an even better feel for what we're building: ___ This is a remote opportunity and is open to candidates in the United States, Canada, or Mexico. You are a staff-level, systems-minded engineer who gets energy from building tools that make other people more effective. You have deep experience integrating across SaaS APIs and are comfortable navigating the messiness of inconsistent auth models, pagination, rate limits, and data formats. You would rather build one system that enables 50 integrations than build 50 one-off integrations. You are comfortable operating in ambiguous, cross-functional spaces. You talk to users before you write code. You care about adoption, not just shipping, and you understand that internal tools fail when they have bad UX or no adoption strategy. You bring strong opinions about developer productivity, loosely held, and you communicate clearly with both engineers and non-technical stakeholders. You are product-minded and team-oriented, willing to hear others' perspectives and educate on best practices. Excellent communication skills, particularly written, are essential. • Design and build the knowledge infrastructure that gives AI tools at Fleetio structured access to company context. The form this takes (an API layer, a CLI, an SDK, agent configuration, protocol servers, or something new) is a decision you will help make., • Build integrations that connect Fleetio's internal knowledge sources (project management, documentation, code, data warehouses, communication tools) into a consistent, secure context layer with identity passthrough., • Design the system so other teams can extend it. Whether that means spoke templates, plugin architectures, or shared configuration patterns, the goal is to scale beyond what a small team can maintain directly., • Partner with teams across Fleetio to identify where missing context creates the most friction, and build the integrations that close those gaps. This is not engineering-only: Product Managers need AI tools that understand product strategy and customer data; designers need access to design systems and user research; Customer Success needs account history and help center content., • Take ownership of CI/CD intelligence, making pipelines fast, reliable, and trustworthy as AI-accelerated development increases code velocity., • Define and own the measurement framework for AI adoption and internal tool impact across the company. Track what works, surface what doesn't., • Champion AI-first documentation practices: structure internal docs so AI tools can consume them effectively (coding examples, machine-parseable formats, clear interface descriptions)., • Collaborate closely with the Platform/SRE team (they own infrastructure; we build the tooling and knowledge layer on top) and with Product Managers, Designers, and Engineers across the organization., • Produce well-tested, maintainable, and performant code. Thoroughly review your peers' code to ensure quality, maintain consistency, and share knowledge., • Contribute enterprise-grade capabilities to Fleetio's existing internal AI tooling ecosystem: identity and auth for protected systems, governed data access, cross-system queries, and quality patterns that help the ecosystem scale., • Establish the technical standards for the Leverage team. As the founding engineer, your decisions on architecture, tooling, and code quality will set the bar for everyone who follows., • 5+ years of professional experience building production software, • Strong integration engineering skills: comfort working across dozens of APIs, authentication schemes (OAuth, API keys, SAML, service accounts), data formats, and rate limits, • Experience with protocol-based architectures (MCP, LSP, or similar), SDKs, CLI tooling, or developer platform design. You understand how to expose structured data to client tools in a way that scales., • Full-stack capabilities: you will build backend services, CLI tools, and internal UIs, • Experience with identity and access management (Okta, SSO, or similar) and understanding of how to pass user identity through to downstream systems, • Experience building and consuming APIs and working with external integrations, • Solid experience solving challenging architecture problems with good design, • Experience with unit testing frameworks and CI/CD pipelines, • Excellent communication skills, particularly written, • Be sure to mention "coffee" in your application so we know you actually read this, • Comfort working in a Rails shop, • Experience building internal tools, developer platforms, or developer experience tooling, • Track record integrating across multiple SaaS APIs, with firsthand knowledge of inconsistent auth, pagination, and rate limiting, • Experience on a small team (2-5 people) where you owned significant portions of the product, • Hands-on experience with AI coding tools (Copilot, Codex) and an understanding of what makes them effective vs. ineffective, • Experience at a company that invests seriously in internal tooling (Stripe, Shopify, Block, etc.), • Familiarity with workflow automation platforms (n8n, Zapier, Workato, or similar), • Experience contributing to or maintaining shared developer tooling ecosystems (internal package registries, shared libraries, plugin systems), • Familiarity with AI agent skill/tool architectures (Codex skills, MCP tools, function calling patterns), • Experience with Snowflake, PostgreSQL, or similar data platforms, • You know a thing or two about the fleet management industry, • Multiple health/dental coverage options (100% coverage for employee, 50% for family), • Vision insurance, • Incentive stock options, • 401(k) match of 4%, • PTO - 4 weeks (increases at year two!), • 12 company holidays + 2 floating holidays, • Parental leave - birthing parent (16 weeks paid) non-birthing (4 weeks paid), • FSA & HSA options, • Short and long term disability (short term 100% paid), • Community service funds, • Professional development funds, • Wellbeing fund - $150 quarterly, • Business expense stipend - $125 quarterly, • Mac laptop + new hire equipment stipend, • Fully stocked kitchen with tons of drinks & snacks (BHM only), • Remote working friendly since 2012 #LI-REMOTE Fleetio provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. We celebrate diversity and are committed to creating an inclusive environment for all. All employment is decided on the basis of qualifications, merit and business need. This application is not intended to and does not create a contract or offer of employment. Employment with Fleetio is at will. If you have a disability or a special need that requires an accommodation to fill out the online application, please let us know by calling (205) 718-7500.

At ___, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently. Check out our guidance on ___, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to. Job Posted: March 17, 2026 Location: Americas - North, Central and South America Zapier's mission is to enable enterprise companies to build and maintain dependable AI workflows at scale. The Identity Platform team builds the golden path that every product team uses to deliver reliable, consistent, and secure experiences to these customers. Authentication, session management, and credential infrastructure are the foundation. Get them right, and every product team ships faster with confidence. We're hiring a Senior Fullstack Engineer to own this foundation, drive the strategic and architectural direction of this layer for years to come, and directly unlock our largest enterprise deals. * Enterprise authentication infrastructure. You'll design and extend the systems that handle SAML SSO, SCIM provisioning, OAuth/OIDC flows, multi-factor authentication, login, sign-up, and secure session for organizations with thousands of users. That spans the full auth surface: SCIM-driven user provisioning and de-provisioning, invitation flows, 2FA setup, SSO-enforced login, domain capture for auto-routing new signups, and session hardening. Reliability, latency, and efficiency are non-negotiables; auth is the most critical-path system at the company. You'll make these systems faster, more resilient, and easier for other teams to integrate with. * User session auth across services. Zapier is a multi-service platform. You'll own how user sessions propagate across service boundaries; making sure authentication context is consistent, secure, and performant whether a request hits the monolith, a Node.js service, or a Go microservice. You'll evolve JWT validation, token exchange, and session tracking to handle the complexity of a growing service footprint. * Enterprise authentication controls and compliance. Enterprise customers need org-level authentication policy enforcement: forced SSO, domain capture, admin-managed authentication requirements, and credential lifecycle controls like JWT key rotation, token refresh, and session expiry policies. You'll build and extend the APIs that give admins confidence their organization meets their security standards. SOC 2 access control evidence, GDPR data subject requests, and audit trail requirements are design constraints you'll work within regularly, not afterthoughts. * Platform APIs that other teams depend on. Identity is infrastructure. Your APIs, libraries, and contracts are consumed by dozens of teams. You'll design for backward compatibility, clear documentation, and low integration friction. But shipping the API is half the job. You'll also drive adoption: writing integration guides, running migration paths, and embedding with product teams to help them use auth capabilities correctly. Internal engineering teams' needs carry the same weight as end-customer value. This is a Senior Engineer role. Senior engineers at Zapier own outcomes end-to-end within their team and extend impact beyond it. You'll coordinate across ownership boundaries, shape technical direction for adjacent systems, and bring other engineers along with you. Our level definitions may look different from what you've seen elsewhere. We'll be transparent about leveling before you reach the final stages. * You've set the vision and built identity systems for enterprise SaaS at scale. Not configured them, built them. You have hands-on experience with SAML, SCIM, OAuth/OIDC, or JWT in a multi-tenant SaaS environment. You understand authentication at a protocol level, not a checkbox level. You've dealt with token replay, session fixation, key rotation under load, multi-IdP federation, just-in-time provisioning, or identity linking across auth methods in real systems serving real users. You know what breaks when an organization with 5,000 employees connects their IdP to your platform for the first time. You are a thought leader in the Identity domain who proactively follows industry trends and Enterprise user management best practices. * You work through AI agents, not alongside them. Your daily development workflow is built around directing and reviewing agent-written code, not writing it by hand. You have opinions about which models to use for which tasks, you've hit real failure modes and built mitigations, and your workflow is actively evolving. When you hit unfamiliar territory, you don't slow down; you point your agent at the codebase, research the domain, and draft a plan. Then you build a POC or working prototype to demonstrate the concept in hours, not iterate on a planning doc for days. You jump into unfamiliar codebases, use your agent to map the landscape, and ship draft MRs or integration proposals within days. At this level, that means going into other teams' code when an integration is blocked, not waiting for their capacity. Bonus: you enable others on your team to work this way too. * You think in platforms, not features. You've built systems other engineering teams depend on. You know what it means to ship a breaking change to an internal API, maintain backward compatibility under pressure, and write contracts that hold up as the organization scales. You understand the cost of coupling and the discipline of good boundaries. * You're comfortable across the stack. This is a fullstack role on a platform team. You'll write backend services in Python and Node.js, work with Django and Fastify, touch React when building admin tooling or developer-facing UIs, and navigate infrastructure concerns like Kubernetes, Terraform, and CI/CD pipelines. You don't need to be an expert in all of these, but you can't be afraid of any of them. * You believe enterprise can move fast, and you ship through ambiguity to prove it. You've seen (or want to prove) that shipping to enterprise customers doesn't have to mean slow, waterfall-style cycles. When there's no spec, no designs, and no clear path forward, your first instinct is to gather evidence, break the problem into a narrow first slice, and get rough working software into production within days, not weeks. You use working prototypes to drive alignment rather than waiting for consensus. You see compliance, security, and rollout considerations as interesting design constraints, not reasons to slow down. You're comfortable throwing work away when direction changes and you treat discarded work as a fast learning loop, not a loss. * You work close to the customer. "Customer" for this team means both enterprise buyers evaluating Zapier's security posture and internal engineering teams integrating with your APIs. You pull from both; reviewing customer security questionnaires, sitting in on enterprise calls, reading support tickets, and talking directly to engineers who consume your platform. You’ll also work closely with customer support teams to provide them with the tools and processes to troubleshoot customer issues and incidents. * You own your work, yourself, and your communication. You take initiative without waiting for permission and ship fast and share early. You manage up and across in an async-first culture, flagging risks, surfacing decisions, and keeping stakeholders informed without being asked. You use written artifacts, working demos, and rough prototypes as your primary communication tools, not meetings. You also own your mistakes, your gaps, and your role in friction, openly. You say "I don't know" and "I was wrong" out loud, early, and without shame. * Design and maintain authentication and session systems (SAML, SCIM, OAuth/OIDC, MFA, login, sign-up, 2FA, user provisioning) as Zapier scales to larger and more security-conscious customers * Own user session propagation and JWT validation across a multi-service architecture spanning Python, Node.js, and Go * Build enterprise authentication controls and governance APIs: forced SSO, domain capture, credential lifecycle, admin authentication policies * Build and maintain platform libraries consumed by dozens of internal teams * Treat reliability, latency, and efficiency of auth systems as non-negotiables; build the monitoring, observability, and audit logging to back that up * Respond to authentication-related incidents and participate in on-call rotation * Enable Security, Enterprise Response, and product team partners to move faster by removing auth bottlenecks and proactively surfacing what they need * Join yearly company retreats that rotate to various cities throughout North America The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled. Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out___ for a list of countries where we currently cannot have Zapiens permanently working.

Thank you for considering Progyny! We are seeking a Senior Contact Center Telephony Administrator to support Progyny's continued growth. This role will serve as a subject matter expert across contact center platforms, owning the design, configuration, and optimization of telephony systems that power both inbound and outbound operations. The ideal candidate brings strong experience in cloud contact center platforms, with a focus on scalability, automation, and performance optimization. Experience with Five9 is preferred. You will partner cross-functionally with Operations, Workforce Management, and Systems teams to drive efficiency, improve reliability, and enhance the overall member and agent experience. What you'll do... * Serve as the primary subject matter expert and point of contact for contact center telephony platforms (CCaaS), supporting VoIP systems, routing logic, and integrations * Design, configure, and optimize inbound and outbound call flows, including agent and skill-based routing, queue management, and call distribution strategies * Own and manage predictive and preview dialer strategies, including campaign setup, pacing optimization, and performance tuning * Support and enhance IVR systems, including call flows, self-service options, and menu optimization to improve routing accuracy and reduce transfers * Partner with business stakeholders to translate operational needs into technical solutions * Troubleshoot system issues, lead root cause analysis, and implement long-term fixes to improve stability and performance * Collaborate with Workforce Management and Operations teams to ensure alignment between staffing models and telephony configurations * Identify opportunities for automation, system enhancements, and integration improvements across platforms (e.g., CRM, WFM, analytics tools) * Maintain documentation of system configurations, processes, and best practices * Stay current on industry trends, platform capabilities, and emerging technologies to continuously improve the contact center ecosystem * Provide ad hoc support and training to internal teams as needed About you... * Bachelor's degree or equivalent professional experience required * 4+ years of experience administering contact center telephony platforms (CCaaS environments) * Proven success and Hands-on experience with inbound/outbound call routing, IVR configuration, and dialer management (predictive dialing, etc. strongly preferred) * Experience with multiple platforms preferred (e.g., Five9, Genesys, NICE, Amazon Connect, etc.). The current platform is Five9 so that would also be preferred. * Familiarity with workforce management platforms (e.g., Verint) preferred * Experience integrating telephony systems with CRM platforms such as Salesforce preferred * Integration with PowerBI, CallMiner (or other tool) and Five9 or other systems telephone system preferred * Strong analytical skills with the ability to interpret performance data and translate insights into system improvements * Proficiency in Excel and other business tools (Word, PowerPoint, etc.) * Excellent problem-solving, communication, and stakeholder management skills * Ability to operate independently in a fast-paced, cross-functional environment Please note: This is not a digital nomad or remote international position; candidates must be based in the United States. Progyny is unable to provide visa sponsorship for this position. Candidates must be authorized to work in United States without the need for sponsorship, now or in the future. About Progyny: Progyny (Nasdaq: PGNY) is a global leader in women's health and family building solutions, trusted by the nation's leading employers, health plans and benefit purchasers. We envision a world where everyone can realize dreams of family and ideal health. Our outcomes prove that comprehensive, inclusive and intentionally designed solutions simultaneously benefit employers, patients and physicians. Our benefits solution empowers patients with concierge support, coaching, education, and digital tools;provides access to a premier network of fertility and women's health specialists who use the latest science and technologies; drives optimal clinical outcomes; and reduces healthcare costs. Our mission is toempower healthier, supported journeys through transformative fertility, family building and women's health benefits. Headquartered in New York City, Progyny has been recognized for its leadership and growth as a TIME100 Most Influential Company, CNBC Disruptor 50, Modern Healthcare's Best Places to Work in Healthcare, Forbes' Best Employers, Financial Times Fastest Growing Companies, Inc. 5000, Inc. Power Partners, and Crain's Fast 50 for NYC. For more information, visit ___. Our perks: * Family friendly benefits: Paid family and parental leave, preconception, fertility and family building benefits (including egg freezing, IVF, and adoption support), family and pet care fund, and Parents' Employee Affiliation Group * Menopause and midlife care * Health, dental, vision and life insurance options for employees and family * Free in-person, virtual and text-based mental health and wellness support * Paid time off, including vacation, sick leave, personal days and summer flex time * Company equity * Bonus program * 401(k) plan with company match * Access to on-demand legal and financial advice * Learning and development programs to help you grow professionally and a mentorship program * Company social eventsto include annual volunteer day and donation matching * Flex days (3 days a week in the office) and onsite meals and snacks for employees reporting into our NY office In compliance with New York City's Wage Transparency Law, the annual salary [wage] range for NYC-based applicants is: $73,000 - $88,000. There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. Progyny offers a total compensation package comprised of base salary, cash bonus, and equity. Progyny is proud to be anEqual Opportunity and Affirmative Action employer.We respect and seek to empower each individual and support the diverse cultures, perspectives,skillsand experiences within our workforce. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, marital status, pregnancy or related condition, status as a protected veteran, criminal history consistent with legal requirements or any other basis protected by law. If you are an individual with a disability and need assistance or an accommodation during the recruiting process, please send an e-mail to ___. #LI-BG1

We've learned a lot from past marketing leadership experiences, and each contributed to our growth. Over 2,500 merchants already use our AI agent to automate support, improve service quality, and scale faster. Why we’re hiring a VP Marketing.

We are currently looking for call center agents who will be dedicated to handling a large volume of calls, conducting telephone screening on a variety of both inbound/outbound calls, and engaging in positive interactions to effectively meet the needs of the customers. Also, all applicants must be wi

Collaborate with Field Engineering to support PoCs and platform deployments in customer cloud VPCs and on-prem environments. Vectara is the Enterprise Agent Platform that enables businesses to build and deploy governed, grounded, auditable AI agents across SaaS, VPC, and on-prem. You'll own the infr

The Associate Director empowers Acumen to achieve its mission of facilitating freedom, choice and opportunity through innovative fiscal agent solutions. Individuals in this role are charged with assisting the Executive Director in representing Acumen to all stakeholders within Texas. Represent Acume

Our representatives meet virtually with clients who have signed up to receive supplemental benefits that help protect their families beyond what their employer covers.Their role is to consult with the family, explain the available options, and assist them in selecting the best plan to meet their fam

We are seeking a motivated and relationship-driven Land Acquisition Field Agent to represent SPG in the field and drive land origination across our target regions. Present and explain proposed deal terms and support the negotiation of leases, easements, and option agreements, escalating material com

Own the infrastructure-level gates that prove a deploy is safe before it reaches production. Pre-PR validation infrastructure:. This person will shape and work on pre-production environment infrastructure, automated quality gates (including load testing and performance validation), agent-friendly lo

Data or Analytics Products, with direct Data Product Management experience strongly preferred; experience with customer service, CX, or other operational analytics products is a plus. As we roll out our new Customer Service Agent Experience (CCO) pillar and modern CCaaS stack, we’re hiring a Data

Are you ready for an amazing new adventure? Mercier Consultancy is on the lookout for a friendly Danish Speaking Customer Service Agent to join our vibrant team in sunny Greece! With fully paid relocation, this opportunity allows you to not only use your customer service skills but also enjoy the be

Experience in customer service, preferably in a customer-facing role. Mercier Consultancy MD is thrilled to announce an incredible opportunity for a Danish Speaking Customer Service Agent to join our team in Bulgaria, with fully paid relocation! This is a fantastic chance for someone looking to embr

Ability to integrate new tools into existing infrastructures. You’ll implement base methods for agent action verification, integrate with internal and client infrastructures, and help fill tooling gaps across the team. Working closely with infrastructure engineers to ensure compatibility.

Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta’s customer solutions. As a Senior Software Engineer, your goal will be to ensure that our AI Agents are backed by the most reliable and scalable

Overnight Customer Service Professional- Full Time This position is to cover the 1AM - 9AM EST shift and will require working on Saturday and/or Sunday. You must have prior experience working an overnight call center position. Voice Systems Engineering (VSE) is a dynamic organization fueled by entrepreneurial spirit and a collective drive to make a positive impact on people's lives. With a focus on advisor-based technology platforms, our marketplaces span diverse service verticals, including psychic guidance and wellness. Our vision at VSE centers on the belief that when talented individuals unite, possibilities become limitless. Rooted in a remote-first environment, we've cultivated a culture that embraces diversity, equity, work-life balance, and a true sense of belonging. We are seeking a passionate Customer Relationship Agent who can deliver exceptional customer service and build lasting customer relationships. You should be an expert at conveying enthusiastic compassion with the sound of your voice. In this role, you will play a crucial part in ensuring our customers have seamless, one-call resolutions and a personalized experience that drives retention and satisfaction. This position is to cover the 1AM - 9AM EST shift and will require working on Saturday and/or Sunday. You must have prior experience working an overnight call center position. What You Will Contribute: • Providing outstanding customer service by listening carefully to their concerns, empathizing with their needs, and offering creative solutions that aim for one-call resolutions., • Supporting customers in creating new accounts, addressing any issues, and ensuring a memorable experience with our service., • Guiding customers in choosing the right service provider for their needs, ensuring that every interaction is positive and leaves a lasting impression., • Collaborating effectively with customers, fellow agents, and other departments to solve problems quickly and enhance the overall customer experience., • Staying up to speed with the latest products, services, and offerings to better support customers and deliver timely, relevant solutions., • Effectively navigating and adapting to a wide range of customer personalities, identifying the best approach to ensure each individual feels heard, respected, and valued, ultimately leading to a positive and successful interaction., • Proactively communicating and collaborating with other teams when a customer issue requires escalation, ensuring that the concern is addressed promptly and with the level of attention it deserves, while keeping the customer informed and satisfied throughout the process., • Taking a proactive role in identifying and implementing new ways to improve customer satisfaction and loyalty, continuously improving our service standards., • Ensuring every customer feels like a VIP. As a Relationship Agent, You Will Enjoy:, • Handling inbound customer calls, chats, and emails with professionalism, empathy, and a focus on creating positive, personal connections in every interaction., • Quickly resolving customer issues while maintaining calm, patience, and confidence, ensuring a smooth and efficient process., • Listening attentively to customer concerns, offering tailored solutions, and guiding them to the best possible outcome., • Offering insightful feedback to help improve product offerings, customer interactions, and internal systems., • Communicating effectively across departments to ensure seamless solutions and provide key insights into customer needs and expectations. Your Journey So Far Should Include:, • At least 2 years of experience in delivering exceptional, high-touch customer service, particularly in resolving issues on the first contact., • Prior experience working an overnight position., • A track record of building strong, ongoing relationships with customers to foster loyalty and drive long-term satisfaction., • The ability to listen actively, remain patient, and offer thoughtful, creative solutions to complex challenges., • Demonstrated success in contributing to a team environment by sharing knowledge, collaborating with others, and providing valuable feedback. Our comprehensive insurance programs include medical, dental, vision, and life. VSE employees also have access to a “wellness wallet” that will reimburse them for gym memberships, workout equipment, mindfulness apps, healthy food boxes, ergonomic workspace tools, and more. We prioritize investment in our people by offering a tuition reimbursement program and plenty of opportunities to continue learning. We also help you plan for your future and beyond by offering a 401k match and access to expert financial advice. This is a remote based position. We are currently inviting residents of Colorado, Florida, Massachusetts, New Jersey, Pennsylvania, Tennessee, Texas, and Washington You can learn more about life and work at VSE by visiting us ___ Hourly Range: $19 - $22 per hour, depending on experience and expertise. This figure represents our good faith and reasonable estimate of the potential hourly rate for this role. Hourly rate to be determined by the candidate’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. PLEASE NOTE – A VIDEO INTERVIEW WILL BE REQUIRED FOR THIS POSITION

Air & Ocean Import Agent New York, NY $65,000 - $75,000 Want variety instead of doing the same shipment type forever? This multi-modal import role gives you air + ocean responsibility with real ownership. Responsibilities: • Manage imports from pre-alert to final delivery, • Work with customs and trucking providers, • Handle escalations and exceptions, • Air and ocean experience, • Knows how to own a file, • Strong communicator

We are hiring an AI Full Stack Engineer on behalf of our Client, a fast-growing marketing agency based in the United States, specializing in the Amazon ecosystem. They’ve built an AI-native internal platform that powers every aspect of our Amazon brand management business. AI isn’t a feature — it’s the backbone. • LLMs classify and respond to inbound communications, • AI generates pre-call intelligence briefs from raw enrichment data, • A RAG system feeds context into every generation pipeline, • 17+ background services, • 130+ frontend pages, • 214 backend services, • 184 database tables, • Classify inbound messages by category, intent, urgency, and tone, • Generate contextual responses using enrichment data, • Implement human approval gates, • Transform raw enrichment data into structured pre-call briefs, • Generate: background, pain hypotheses, talking points, rapport hooks, • Vector database with embeddings, • Markdown-aware chunking, • Async ingestion workers, • Semantic search API, • Process RSS feeds, social media, video platforms, and search trends, • Generate reports, forecasts, and content drafts, • Run autonomously on scheduled jobs, • Multi-agent system (outline → audit → generate), • Binary quality gates (PASS/FAIL with citations), • Supports multiple content formats, • Enrich leads with product data and market insights, • AI scoring and qualification grading, • Automated audit reports, • Slack operations, • Scheduling workflows, • Email triage and follow-ups, • Build AI pipelines for client performance insights, • Improve RAG retrieval quality, • Add tool use for real-time data in LLM pipelines, • Debug classification errors in AI systems, • Optimize LLM costs and performance, • Build dashboards for AI metrics and usage, • Add observability to pipelines, • Expand content quality systems, • Production LLM experience (Claude/OpenAI in real systems), • RAG system experience (embeddings, retrieval, chunking, context handling), • 3+ years TypeScript / Node.js, • Strong React skills, • PostgreSQL (queries, migrations, indexing), • API integrations (REST, OAuth, webhooks), • Multi-agent LLM systems, • Anthropic Claude expertise, • Vector search / embeddings, • Slack API experience, • Ad platform APIs (Meta, Google, LinkedIn), • LLM observability (cost, tracing, monitoring), • Amazon / eCommerce experience, • AI-assisted dev tools (Cursor, Claude Code, etc.), • Competitive salary based on experience, • High-impact role with strong ownership, • Opportunity to scale cutting-edge AI systems to world-class level

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As a Staff Agent Post-Training MLRE, you will build out our next-gen Agent RL training platform. You'll build out the platform that will train best-in-class Agents that achieve state of the art results on real enterprise use-cases. You'll integrate cutting edge research into our training stack, enabling MLREs on the Enterprise AI team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers., • Research cutting edge algorithms to integrate directly into our training stack., • 5+ years of LLM training in a production environment, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers, • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • Comfortable with light travel (approximately 10%) for customer interaction and team needs, • This role will require an active security clearance or the ability to obtain a security clearance, • Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$259,200—$324,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.