Find AI Work That Works for You

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   About the role We are looking for a technically fluent and user-centered AI System Analyst who can turn business needs into structured system flows and fast, functional prototypes using AI and low-code tools. You’ll collaborate closely with internal users, identify pain points, and build solutions that solve real problems—without waiting on traditional development cycles.   Responsibilities Conduct user interviews to gather, clarify, and document business and system requirements Design user journeys and process flows Generate clear and structured PRDs (Product Requirement Documents) based on user needs and process analysis Build working prototypes and proof-of-concept (PoC) using AI tools and no-code/low-code platforms (e.g. Google App Scripts, Cursor, Gemini CLI, AppSheet ) Translate user needs into functional specs and collaborate with developers or IT for implementation Integrate internal tools, workflows, and data to improve operational efficiency Apply AI and automation creatively to optimize internal processes or enhance digital products About you 2+ years of experience in system analysis, product planning, or solution design Skills in user interview techniques, logical analysis, and process mapping (e.g. flowcharts, UML) Experience with AI tools (e.g. N8N, Windsurf, Dify, Cursor, Claude, Gemini CLI, Codex, Jules) Problem-solving mindset, self-driven, curious, and tech-savvy Excellent communication skills across business and technical teams [Bonus Points] Comfortable working with APIs, MCP, N8N, and basic data integration or visualization tools Experience in building simple MVPs or workflows using low-code or vibe coding Familiar with scripting tools like Google Apps Script or Python Exposure to internal tool building or using AI to support automation Familiar with working in Agile, Scrum, or fast-paced prototyping environments #LI-CS1

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We are seeking for a Python-AI Engineer to join our client's dynamic team. The ideal candidate will have experience in startups, preferably American, and a proven track record in the e-commerce sector. Key Responsibilities:- Integrate third-party APIs seamlessly into existing systems.- Collaborate with cross-functional teams to understand integration requirements.- Work with AI tools and technologies to improve system performance and functionality.- Maintain and optimize code for performance and scalability.- Assist in troubleshooting, debugging, and upgrading software systems.- Document and maintain software functionality. Requirements:- Strong proficiency in Python programming.- Proven experience in integrating APIs.- Exposure to AI tools and technologies.- Ability to work collaboratively in a team-oriented environment.- Excellent problem-solving skills and attention to detail.- Strong verbal and written communication skills.- E-commerce experience is a plus About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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YOUR MISSION: As a Senior Frontend Engineer (f/m/d)* you will be joining a team of 30+ Engineers working on the development of a conversational AI product, which handles millions of calls. We are on a mission of revolutionizing the way contact centers operate and helping create unrivaled customer experiences. You'll be at the forefront of developing solutions that leverage large language models. This is a once in a lifetime opportunity to be at the forefront of a revolutionary technology. In the role you will see firsthand how LLMs are configured and orchestrated; see and solve for their limitations; and contribute to a user experience that allows users to leverage them to solve real world problems.  You'll be collaborating within agile, cross-functional teams with a devops mindset that embrace frequent deployment, while upholding high quality standards. Working with well-defined objectives will allow you to see the direct impact that Engineering has on Parloa’s business.  Parloa has an office-first approach. Our team is usually in the office 2-3 days a week.  IN THIS ROLE YOU WILL: Design and develop efficient frontend solutions for our Agent Management Platform - a tool for configuring and customizing the latest AI agents to solve real world business problems. Effectively collaborate with your peers, to create new and improve existing features; and set-up architectural patterns to allow us to deliver value to customers efficiently. Strive for customer value together with the team and be ready to roll up your sleeves and make it happen. Propose and implement new ideas on product development.  Use an up-to-date tech stack including TypeScript, React, Webpack, etc. Our Tech stack: TypeScript, React, Ant Design, Vite, NextJS, Jest, Playwright/Cypress Node.js, NestJS, Docker, Rest, TRPC WHAT YOU BRING TO THE TABLE: Work experience of 5+ years in developing frontends with React. Proven experience working on projects with TypeScript including asynchronous programming and ES6 Solid knowledge of UI/UX patterns Ways of working consistent with our goals to use TDD and pair regularly (or exclusively) Understanding of state management concepts and previous experience with Redux ‘Own it’ mentality – ability to take ownership of a task from inception to completion Ability and eagerness to understand the business context where the customer problems are being solved NICE TO HAVE: Experience working with Express/NextJS/NestJS API layers Experience setting up test-harnesses using jest/react-testing-library Experience with TRPC or GraphQL Experience with Redux, Redux-Toolkit Knowledge of DevOps principles and tooling (Docker, Kubernetes, Helm) Deep understanding of how agile work patterns support balancing technical excellence with business delivery Previous experience with conversational interfaces or chatbot platforms WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Interview → Architecture Interview → Bar Raiser Interview  Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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Overview:You will join our product team in a position that sits at the intersection of artificial intelligence research and real-world solutions. We foster a highly collaborative work culture where you can expect to work closely with your teammates and have a high level of communication between teams through methodologies such as pair or mob programming. Your responsibilities:Model Inference: Focus on inference optimization to ensure rapid response times and efficient resource utilization during real-time model interactions.  Hardware Optimization: Run models on various hardware platforms, from high-performance GPUs to edge devices, ensuring optimal compatibility and performance.  Experimentation and Testing: Regularly run experiments, analyze outcomes, and refine the strategies to achieve peak performance in varying deployment scenarios.  Staying up to date with the current literature on MLSys  Your profile:You care about making something people want. You want to ship something that will bring value to our users. You want to deliver AI solutions end-to-end and not finish building a prototype.  Bachelor's degree or higher in computer science or a related field. You understand how multimodal transformers work. You understand the characteristics of LLM inference (KV caching, flash attention, and model parallelization). You have hands-on experience with large language models or other complex AI architectures. You have experience in system design and optimization, particularly within AI or deep learning contexts. You are proficient in Python and have deep understanding of deep learning frameworks such as PyTorch. A deep understanding of the challenges associated with scaling AI models for large user bases.   Nice if you have:  Previous experience in a high-growth tech environment or a role focused on scaling AI solutions. Expertise with CUDA and Triton programming and GPU optimization for neural network inference. Experience with Rust.  Experience in adapting AI models to suit a range of hardware, including different accelerators. Experience in model quantization, pruning, and other neural network optimization methodologies. A track record of contributions to open-source projects (please provide links). Some Twitter presence discussing ML Sys topics. What you can expect from us:Become part of an AI revolution!30 days of paid vacationAccess to a variety of fitness & wellness offerings via WellhubMental health support through nilo.healthSubstantially subsidized company pension plan for your future securitySubsidized Germany-wide transportation ticketBudget for additional technical equipmentFlexible working hours for better work-life balance and hybrid working modelVirtual Stock Option PlanJobRad® Bike Lease

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.About NICE and MPower Proactive AI Agents NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the 100 largest corporations in the world, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Innovation efforts in cloud-native open platforms, artificial intelligence and analytics is driving rapid growth of our software products with reported revenues of USD 1.7 billion in FY 2020.   MPower Proactive AI Agents has recently become a part of the NICE CXOne suite and is a market leader in proactive conversational AI.    MPower Proactive AI Agents is a cloud-hosted conversation platform. Proactive and omni-channel, MPower Proactive AI Agents leverages artificial intelligence, natural language understanding and machine learning so that global brands can transform their customer journeys. MPower Proactive AI Agents disrupts the traditional call-centres; just a fraction of the cost to deploy and run, but with three times the customer engagement rate of its manual call-centre predecessors. This means that as well as being lower cost, MPower Proactive AI Agents can drive corporate KPIs harder and faster, at the same time as improving the customer experience.  About the role As a rapidly growing business, we are building a professional services team here in Manila. In this new role, you will become a MPower Proactive AI Agents expert and advocate, delivering high-quality implementations, analysis, support, and many more to clients across the globe.   Working initially with both the EU and US teams you will provide implementation and support to our new and existing clients, then when MPower Proactive AI Agents expands into APAC, the Manila team will also lead the implementation, quality assurance, support, and delivery for local clients. Key Responsibilities Become an expert in MPower Proactive AI Agents solution design consultancy and implementation  Work with global teams to build, test and support customer journeys and conversations from specification using our internal tooling  Learn clients’ business processes to define and document requirements for automated transactions of proactive customer journeys  Document End-to-End Application Integration Specifications  Configure, perform E2E testing, debug, and deploy the SaaS platform based on client requirements  Define and implement MPower Proactive AI Agents customer journey optimization strategies by utilizing data analytics in conjunction with a deep understanding of the MPower Proactive AI Agents transactional data model  Write queries in SQL and build reports and dashboards  Write and debug code snippets (in JavaScript)  Design and test APIs  Assist with training of new implementation specialists  Provide on-call support to global customers  Basic Qualifications:  4+ years experience in an implementation / professional services / consulting role  Graduated with a degree in a Computer Science / Business Analytics / Data Analytics / STEM type degree  Knowledge of basic programming languages and data structures  Knowledge of data analysis and SQL  A keen problem solver with a passion for learning  Ability to successfully work in a team-oriented, highly collaborative environment  Amenable to work shifting schedules   Preferred Qualifications:  If you don't have these but are willing to learn, please apply:  Technical expertise in data structure extraction and summarization  Experience with JavaScript, C#, SQL, HTML, CSS, Python  Experience with integration tools  Application knowledge of Excel, Tableau (or similar BI tool)  Requisition ID: 7852 Reporting into: Manager, Professional Services Role Type: Individual Contributor  About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewWe are looking for a lawyer to join our legal team to expand our commercial function. You will interface with our go-to-market, business and cross-functional teams (including Engineering, Product and Security) to help ensure the fast, efficient execution of our agreements with customers.What You'll DoGenerative AI has the power to greatly change the world and directly impact how things get done. Harvey is at the forefront of this change, and our mission is to make generative AI actionable and useful for our customers. This is a fast moving environment (we are a start-up!) that is serving some of the world’s most renowned law firms and professional organizations. And this role will put you in the center of all of this.More specifically, you will:Draft, review, and negotiate commercial AI SaaS contracts and other technology and AI-related agreementsProvide regulatory and product counsel as neededProvide training and develop resources in support of our sales and other cross-functional teamsWe are a small, but growing company, and one of the best things about working in such an environment is that there is lots of opportunity to pick up other aspects of the legal work that supports our company. While the principal job will be as described above, for lawyers interested in learning more about product counseling and IP law, there will be ample opportunities to broaden your wheelhouse here at Harvey!This role is based in New York, N.Y. or San Francisco, CA. We use a hybrid work model of 3 days in the office per week.What You HaveA law degree from an accredited law schoolAdmitted to practice law and in good standing in at least one jurisdiction and able to practice in California or New York3+ years of law firm and/or in-house experienceTransactional background, including with SaaS, technology, and/or IP licensing and commercial agreements, and/or M&A transactionsAbility to think creatively, function independently and work proactively in a fast-paced environmentTeam-focused and collaborative work style; willingness to build expertise and solve new challenges in an evolving practiceHyper-responsive and service-oriented attitudeNinja-like project management skillsBonus qualifications include experience with AI, supporting Go-To-Market/ Sales, and a love for solving hard problems with a small tight-knit team.CompensationIn consideration of market analysis and relevant factors, the salary range for this position is set between $180,000 to $230,000. However, adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.Please find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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Your impactAs a Senior Engineer on our Feed team, you’ll have the opportunity to play a pivotal role in scaling one of the most impactful areas of our platform – the social feed. This is a high-impact role where you’ll shape the experiences that connect millions of students with career opportunities. You’ll also work closely with data science and machine learning teams to optimize feed relevance, personalization, and ranking, ensuring the right content reaches the right users at the right time.Your roleAs a Senior Software Engineer, your day-to-day will involve:Building and Scaling Feed Systems: Scaling feed infrastructure to deliver personalized, relevant content (ranking, retrieval, and recommendations).Optimizing and Iterating: Continuously testing and refining the user’s experience on the feed, and improving overall performance, responsiveness, and user engagement.Driving Platform Scalability: Designing systems to handle millions of users, including high-traffic, real-time content delivery, and scalable feed/data infrastructure, ensuring high availability and reliability.Collaborating with Data and ML Teams: Working closely with data scientists and ML engineers to support their models that power recommendations and personalization.Data Management/Flow: Developing data pipelines, enhancing data schemas, and managing data ingestion to leverage real-time, distributed data, ultimately strengthening feed infrastructure and engagement loops.Shaping Product Direction: Leveraging data-driven insights to guide product roadmaps, prioritize features, create use cases, recognize limitations, and make impactful decisions that enhance the feed experience.Your experienceWe’re seeking candidates who bring:Feed and Ranking: Experience building or optimizing social feeds, real-time content delivery systems, feed infrastructure, and data pipelines, ideally focusing on relevance and personalization.Scalable Systems Background: Contributing to the design and development of scalable, high-performance backend systems, including building data pipelines to support machine learning models.Backend Skills: Proficiency in Go, Elasticsearch, GraphQL, and Ruby on Rails.Cross-Functional Collaboration: A history of working closely with data, ML, product, and design teams to deliver impactful user experiences.Technical Leadership: Experience fostering a culture of technical excellence and supporting the growth of engineering teams.Strong Communication Skills: Clearly articulating technical concepts to technical and non-technical audiences.About usHandshake is the career platform for Gen Z. With a community of over 17 million students, alumni, employers, and career educators, Handshake’s network is where career advice and discovery turn into first, second, and third jobs. Nearly 1 million companies use Handshake to build their future workforce—from Fortune 500 to federal agencies, school districts to startups, healthcare systems to small businesses. Handshake is built for where you’re going, not where you’ve been.When it comes to our workforce strategy, we’ve thought deeply about how work-life should look at Handshake. With our hybrid-work model, employees benefit from collaboration and shared team experiences three days per week in our vibrant offices, and enjoy the flexibility of remote work two days per week (unless noted in the specific job posting). Handshake is headquartered in San Francisco, with offices in New York, London, and Berlin.What we offerAt Handshake, we'll give you the tools to feel healthy, happy and secure.Benefits below apply to US employees in full-time positions.💰 Equity and ownership in a fast-growing company.🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.📚 Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career.💰 Financial coaching through Origin to help you through your financial journey.🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).🥗 Free lunch provided 3x a week across all offices.🤝 Referral bonus to reward you when you bring great talent to Handshake.🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming!💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more.Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

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WHO WE ARE: MagicSchool is the premier generative AI platform for teachers. We're just over 2 years old, and more than 5.5 million teachers from all over the world have joined our platform. Join a top team at a fast growing company that is working towards real social impact. Make an account and try us out at our website and connect with our passionate community on our Wall of Love.Senior Manager of Customer Success, WestRole Overview As a Senior Manager of Customer Success at MagicSchool, you will lead a team of high-performing CSMs focused on driving adoption, retention, and expansion within our K-12 district customer base. In this role, you’ll work closely alongside other CS managers who manage their respective regions. You’ll bring a strong operational mindset, experience managing teams, and a collaborative approach to working across Sales, Product, and Support. You’ll be both a coach and operator - motivating your team while using data to guide outcomes.This role is ideal for someone who has managed a mid-sized CSM team in a startup environment.For this role, you must reside in the Western US, with preference given to Denver, LA, and Seattle.Responsibilities In this role, you will be responsible for driving to the following outcomes:Managing and Developing a Team: Lead a team of Customer Success Managers through effective 1:1s, coaching, performance reviews, and feedback cycles. Set clear expectations and build team accountability.Driving Retention & Satisfaction: Use KPIs and customer insights to ensure account health, proactively manage risk, and drive renewal and expansion conversations.Cross-Functional Execution: Partner with Sales, Product, and Support teams to ensure a seamless customer experience and deliver on customer goals.Operational Excellence: Monitor and report on key CS metrics using Salesforce dashboards and other tools to inform strategies and decisions.Hiring and Onboarding: Help identify and onboard new team members as we grow. Contribute to building a high-performing team culture. Experience & Qualifications To be successful in this role, you’ll bring the following experience and qualifications:4–7 years of experience managing Customer Success Managers in a SaaS environment (team lead experience not sufficient).Strong understanding of CS metrics and operational tools (Salesforce required; Gainsight/ChurnZero/Totango a plus).A proven ability to hold individuals accountable, give feedback, and manage performance.Experience partnering with cross-functional teams on account strategy and customer experience.A proactive and flexible working style that thrives in startup-paced environments. Bonus Points For:Experience in EdTech or working with school districts.Experience managing distributed teams.Familiarity with managing onboarding and renewal processes end-to-end.Notice: Priority Deadline and Review Start DatePlease note that applications for this position will be accepted until 7/6/25 - applications received after this date will be reviewed on an intermittent basis. While we encourage early submissions, all applications received by the priority deadline will receive equal consideration. Thank you for your interest, and we look forward to reviewing your application.Why Join Us?Work on cutting-edge AI technology that directly impacts educators and students.Join a mission-driven team passionate about making education more efficient and equitable.Flexibility of working from home, while fostering a unique culture built on relationships, trust, communication, and collaboration with our team - no matter where they live.Unlimited time off to empower our employees to manage their work-life balance. We work hard for our teachers and users, and encourage our employees to rest and take the time they need.Choice of employer-paid health insurance plans so that you can take care of yourself and your family. Dental and vision are also offered at very low premiums.Every employee is offered generous stock options, vested over 4 years.Plus a 401k match & monthly wellness stipendOur Values:Educators are Magic:  Educators are the most important ingredient in the educational process - they are the magic, not the AI. Trust them, empower them, and put them at the center of leading change in service of students and families.Joy and Magic: Bring joy and magic into every learning experience - push the boundaries of what’s possible with AI.Community:  Foster community that supports one another during a time of rapid technological change. Listen to them and serve their needs.Innovation:  The education system is outdated and in need of innovation and change - AI is an opportunity to bring equity, access, and serve the individual needs of students better than we ever have before.Responsibility: Put responsibility and safety at the forefront of the technological change that AI is bringing to education.Diversity: Diversity of thought, perspectives, and backgrounds helps us serve the wide audience of educators and students around the world.Excellence:  Educators and students deserve the best - and we strive for the highest quality in everything we do.

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Factory is seeking a Developer Relations Lead to spearhead our engagement and expansion of the teams plan with the broader developer community.What you will do and achieve:Increase adoption of our self service users and champion Factory within the developer community by contributing to external projects and showcasing how Droids can enhance and accelerate software development practicesDevelop and nurture relationships with key stakeholders in the developer ecosystem, AI-native companies.Organize and execute a range of events targeting developers and tech professionals, including hackathons, lunch and learns, workshops, and meetups, to demonstrate Factory’s capabilities and gather community feedback.Craft and publish compelling, technical content (e.g., blog posts, tutorials, demo videos) that educates and engages developers about Factory’s value proposition and the transformative potential of the Droids.Represent Factory at meetups, conferences, and on podcasts; share clear perspectives on AI-assisted development.Act as a liaison between the developer community and Factory’s engineering team, relaying feedback and insights that inform product development and ensure our offerings align with market needs and expectations.Qualifications:A background in software development or developer relations, ideally with 3+ years of experience engaging with developer communities and tech ecosystems.Deep interest in new technologies and a habit of experimenting with emerging tools and ideas.Proven track record of organizing successful developer-centric events and initiatives, coupled with strong project management skills.Excellent interpersonal and communication skills, capable of building relationships with developers, partners, and internal teams.Familiarity with the latest trends and technologies in AI, machine learning, and software development tools.Creative and strategic thinker with the ability to translate technical discussions into accessible, engaging narratives for diverse audiences.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role The Anthropic API has experienced rapid growth since launch, with companies of all sizes building AI products using our industry-leading models. We need an experienced Technical Program Manager to drive critical initiatives across our API organization as we continue to scale. You'll be instrumental in orchestrating complex model launches, coordinating cross-functional features, and ensuring seamless execution across multiple teams. This role is critical as we expand our teams and scale our engineering organization to support frontier model capabilities, developer experience, and platform infrastructure. Responsibilities: Lead model launch initiatives, including future Claude releases, coordinating between API, research, safety, and infrastructure teams to ensure successful deployments Drive cross-functional program execution for major API features and platform enhancements, ensuring consistency and quality across all Anthropic surfaces Partner with engineering leadership to improve development velocity, manage dependencies, and remove blockers across distributed teams Build and maintain relationships with research, product, and engineering teams to understand technical requirements and constraints Create comprehensive program documentation, including roadmaps, status reports, risk assessments, and communication plans Facilitate technical decision-making by bringing together stakeholders, driving consensus, and ensuring timely resolution of blocking issues Establish processes and frameworks for scaling API development and improving engineering excellence You may be a good fit if you: Have 5+ years of technical program management experience with a track record of successfully delivering complex, cross-functional programs Possess deep technical expertise in APIs, distributed systems, or developer platforms with the ability to dive deep into technical details while maintaining strategic program oversight Have experience in high-growth environments managing programs during rapid scaling phases Are highly organized and can manage multiple parallel work-streams effectively across distributed teams Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations Use a data-driven approach to technical program management with experience using metrics to measure success and guide decisions Have a track record of building trust with technical teams and driving change through influence without formal authority Are passionate about AI development and deployment, with a strong interest in AI safety and responsible development Have experience with ML/AI products or model deployment pipelines (preferred but not required) The expected salary range for this position is:Annual Salary:$290,000—$365,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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About Us Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx.As a Technical Architect at Ada, you'll take center stage in shaping how our clients integrate and scale with our AI-powered platform. You'll be the trusted technical lead in implementation projects—translating complex requirements into powerful, scalable solutions that fit seamlessly within each client’s ecosystem. Your role is to be the technical partner, listening for our customer’s functional and technical requirements and mapping them into business minded goals.  You will work hand-in-hand with Ada’s Professional Services Engagement Managers and Consultants within a customer engagement as the technical solution designer and owner. Your work will directly influence the speed, quality, and impact of every deployment. Clients will rely on your technical leadership, strategic thinking, and problem-solving skills to bring their vision to life. These  projects involve deploying Ada across messaging, email, and voice channels, and are tailored to align with each client’s infrastructure and strategic priorities. What You'll Do Be the Technical Voice of the Project: Collaborate directly with clients to uncover both functional and technical needs, transforming them into strategic and executable plans. Design and Deliver: Define, document, and build a scalable technical solution to meet the customer’s needs. Lead by Doing: Provide hands-on guidance and technical support throughout the implementation, ensuring quality and success at every milestone. About You 3+ years of experience in customer-facing technical roles, preferably within a SaaS environment. Strong experience working with APIs, documenting system architectures, and defining logic-based workflows The ability to troubleshoot data flows and communicate solutions and limitations effectively across technical and non-technical stakeholders. Solid understanding of SaaS ecosystems, with experience integrating tools like Shopify, Salesforce, Zendesk, or HubSpot into client environments. A passion for partnering with clients and internal stakeholders to bring complex systems together. Strong communication skills with a love for translating technical details into business value. Passionate about customer service and how it can transform businesses Strong organizational skills and an ability to multitask without getting frazzled Comfort operating in ambiguity, solving complex problems, and staying on track amidst shifting priorities. A curious and resilient mindset, with a bias for action and a passion for continuous learning, iteration, and driving progress. Bonus: Knowledge and experience implementing Generative AI solutions or CX automation tools is a strong asset.   The expected salary range for this position is $110,000 to $156,000 CAD. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law. #LI  Benefits & Perks At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer: Benefits Unlimited Vacation: Recharge when you need to. Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance. Wellness Account: Empowering you to invest in your overall well-being and lifestyle. Employee & Family Assistance Plan: Resources to support you and your loved ones. Perks Flexible Work Schedule: Balance your work and personal life. Remote-First, In-Person Friendly: Options to work from home or at our local hub. Learning & Development Budget: Invest in your long-term growth goals and skills. Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience. Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry. Hands-On with LLMs: Enhance your expertise in leveraging large language models. A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology. The above Benefits and Perks only apply to full-time, permanent employees. Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewWe’re looking for a B2B Product Marketing Manager to join our Product Marketing function. At Harvey, PMMs operate like general managers for their product areas or customer segments, owning go-to market strategy, launch execution, internal enablement, and ongoing adoption. You should be equally comfortable shaping high-level positioning and go-to-market strategy as you are rolling up your sleeves to build content, run launches, and enable the field. This is a high-visibility role that works closely with Marketing, GTM, Product, and executive leadership to drive meaningful customer and business outcomes.What You’ll DoDrive positioning & messaging for product features and key personas, grounded in deep product, user, and market understandingExecute product and feature launches, collaborating closely with Product, Sales, and Enablement teamsSupport content development to drive product/revenue traction — this may include pitch decks, one-pagers, battle cards, and onboarding materialsCoordinate with customers and internal teams to create compelling case studies and testimonialsConduct and synthesize market and competitive research to support positioning and sales enablementSupport enablement programs to deliver product training, competitive insights, and enablement contentCollaborate with our Brand team on customer-facing assets and marketing materialsHelp steer the growth of our PMM and Marketing organizationsWhat You Have3-6 years of experience in Product Marketing, Product Management, Management Consulting, or Product StrategyExperience in a B2B / commercial environmentExperience marketing to large Fortune 100 and professional services customersEager to move fast & drive impact — you’d rather build an imperfect one-pager quickly that is used by many people and customers than a perfect one that collects dustStrong communication with the ability to build meaningful stakeholder relationships.Ability to differentiate valuable signal from noiseAbility to thrive in ambiguous cross-functional projects across Product, GTM, and FoundersBig picture thinking while still delivering on the detailsCompensation Range$130,000 - $150,000 USDPlease find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewWe’re looking for a versatile Senior Analytics Engineer to architect the data backbone that powers decision-making at Harvey. With product-market fit already proven and demand surging across diverse customer segments, you’ll design clean, reliable pipelines and semantic data models that turn raw events into immediately usable insights. As the first Analytics Engineer on our team, you’ll choose and implement the right data stack, champion best practices in testing and documentation, and collaborate closely with product, GTM, and leadership to ensure every team can answer its own questions with confidence. If you combine engineering rigor with a love of storytelling through data—and want to shape analytics from the ground up—we’d love to meet you.What You’ll DoDesign and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets that power company-wide analytics and decision-making.Define and implement a robust semantic layer (e.g. LookML/Omni) that standardizes key business metrics, dimensions, and data products, ensuring self-serve capabilities for stakeholders across teams.Partner cross-functionally with Product, GTM, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools that surface real-time business health metrics.Establish and champion data modeling standards and best practices, guiding the organization in how to model data for accuracy, usability, and long-term maintainability.Collaborate with engineering to make key decisions on data architecture, co-design data schemas, and implement orchestration strategies that ensure reliability and performance of the data warehouse.Lead data governance initiatives, ensuring high standards of data quality, consistency, documentation, and access control across the analytics ecosystem.Empower stakeholders with data by making analytical assets easily discoverable, reliable, and well-documented—turning complex datasets into actionable insights for the business. What You Have5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar fieldDeep expertise in SQL, dbt, Python, and modern BI/semantic layer tools like Looker or Omni.Skilled at defining core business and product metrics, uncovering insights, and resolving data inconsistencies across complex systems.Strong familiarity with version control (GitHub), CI/CD, and modern development workflows.Bias for action — you prefer launching usable, iterative data models that deliver immediate value over waiting for perfect solutions.Strong communicator who can build trusted partnerships across Product, GTM, Finance, and Exec stakeholders.Comfortable working through ambiguity in fast-moving, cross-functional environments.Balances big-picture thinking with precision in execution — knowing when to sweat the details and when to move quickly.Experience operating in a B2B or commercial setting, with an understanding of customer lifecycle and revenue-driving metrics.BonusEarly employee at a hyper-growth startupExperience with or knowledge of AI and LLMsData Engineering ExperienceExperience managing data warehouse (preferably Snowflake)Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir)Compensation Range $170,000 - $200,000 USDPlease find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.Senior IT Engineer Role We are seeking a highly skilled and experienced Senior IT Engineer to join our Corporate IT team. In this senior-level role, you will be responsible for driving the architecture, integration, and optimization of our core IT infrastructure — with a strong focus on identity and access management (IAM), collaboration platforms, endpoint management, and employee lifecycle automation. You’ll work with technologies such as Okta, Slack, Google Workspace, JAMF, Intune, and HRIS platforms like Workday and Rippling to build secure, scalable, and efficient systems. The ideal candidate is a proactive, systems-oriented problem-solver with deep expertise in Identity Governance and Administration (IGA), Mobile Device Management (MDM), and automation frameworks, including low-code/no-code orchestration tools and AI-enhanced workflows. Key Responsibilities Architect and manage IAM solutions using IdPs such as Okta, Ping, and JumpCloud, with a focus on IGA: user lifecycle automation, RBAC, access workflows, compliance reporting, and policy enforcement. Integrate IAM platforms with Google Workspace, Slack, HRIS systems (e.g., Workday, Rippling) and other SaaS tools to support SSO, MFA, directory sync, and role-based access provisioning. Administer and optimize collaboration platforms, especially Slack and Google Workspace, including advanced configuration, security settings, and workflow integrations. Implement and manage device compliance and security across macOS, iOS, Windows, and Android using MDM solutions like JAMF, Kandji, and Intune. Design and build automated IT workflows using scripting languages and modern orchestration tools — including low-code or AI-driven platforms that enable scalable, event-based automation and system integration across cloud services and APIs. Develop and maintain custom scripts in Python, Bash, and PowerShell to automate repetitive tasks, monitor systems, and streamline onboarding/offboarding processes. Leverage integrations with HRIS tools (Workday, Rippling) to drive lifecycle automation and ensure secure, consistent access to resources based on user roles and employment status. Maintain and support systems used by engineering teams, ensuring high availability of development tools, secure access, and streamlined workflows. Collaborate across teams (HR, Security, Engineering, Finance) to gather requirements, implement IT solutions, and align tools with business needs. Conduct regular security assessments of infrastructure and SaaS environments, and ensure compliance with internal and external standards. Mentor and support junior team members, contribute to documentation, and promote knowledge sharing and operational maturity across the IT team. Evaluate and implement new technologies, including emerging AI-driven or automation-enhancing platforms, to continuously improve efficiency, scalability, and security. Required Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience). 7+ years of experience in IT engineering, with 3+ years in a senior or staff-level capacity. Expertise in Okta or similar identity platforms, including SSO/MFA, lifecycle automation, RBAC, and compliance integration. Experience integrating IAM with Google Workspace, Slack, and HRIS tools like Workday or Rippling. Strong experience with MDM platforms such as JAMF, Kandji, and Intune, managing multi-OS device environments. Hands-on experience building automated IT workflows, including use of scripting and modern orchestration platforms that integrate APIs and event-based triggers. Proficiency in Python, Bash, and PowerShell for scripting, automation, and diagnostics. Understanding of IT architecture across SaaS, networking, and endpoint security. Proven track record of solving complex problems in fast-paced, security-conscious environments. Strong written and verbal communication skills, with the ability to work across both technical and non-technical stakeholders. Preferred Qualifications Relevant certifications: Okta Certified Professional, JAMF Certified Expert, Google Workspace Administrator, Microsoft Intune Administrator, or equivalent. Experience with other IAM platforms (e.g., Azure AD), or collaboration tools (e.g., Microsoft Teams). Familiarity with cloud environments (AWS, Azure) and containerization technologies (Docker, Kubernetes). Exposure to low-code/no-code platforms, AI-enhanced automation, or workflow orchestration tools. Understanding of ITIL practices, or experience working in Agile operational environments. Background in high-growth or enterprise-scale organizations with a strong security and compliance culture. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Ready to be a part of something big? Join our team at SoundHound AI, where AI innovation and real-world impact come together. We unite voice AI, generative AI, and conversational AI to deliver powerful AI solutions that reimagine how people interact with the products and services they rely on. Whether it’s voice-enabling vehicles, streamlining patient journeys, or enhancing customer service, our multilingual, omnichannel AI technology touches the lives of hundreds of millions of people around the world. Linguistic Program Managers are responsible for end-to-end benchmarking of the automotive solution, which includes the need to gather language-specific audio and text data, label them, and occasionally manage external resources to handle them. In this role, you will: Design and execute benchmarks using audio and text data across multiple languages. Analyze benchmark results and report issues affecting NLU and/or ASR. Oversee and coordinate localization and audio data collection efforts utilizing internal and external resources. Work closely with internal teams to guarantee optimal quality in all delivered materials. We would love to hear from you if: You have 1–5 years of experience and a degree in a relevant field (e.g., languages, translation, linguistics), or you demonstrate strong familiarity with languages and linguistic concepts and are comfortable working with multilingual content. You have strong ability to manage multiple projects simultaneously, maintaining clear timelines and priorities. You have technical “aptitude”; Comfortable executing scripts and manipulating files to manage test inputs and outputs. Knowledge of programming languages (Python, SQL) is a plus. You are comfortable working with technology and open to leveraging tools like LLMs to automate tasks You are adaptable and eager to learn, with a demonstrated ability to quickly master QA processes, embrace diverse project roles, and thrive in dynamic team environments. You are detail-oriented with a keen ability to review results, identify discrepancies, and investigate issues thoroughly. You have excellent analytical and communication skills, and can collaborate effectively in an international team setting. This role is available throughout France. Employees within a 100-kilometer radius of our Paris office are expected to work from the office on three pre-scheduled “core days” each month to encourage cross-team connection and in-person collaboration. Aside from these office-specific “core days,” this job allows for virtual/remote, hybrid, and in-office workplace setting options. In addition to salary and equity, you will receive comprehensive healthcare, paid time off, and other benefits. Our recruiting team will provide a specific salary range based on location and years of experience. _______________________ By working at SoundHound AI, you will join hundreds of employees across the globe who strive every day to create exceptional AI-powered experiences for customers, employees, and patients. We are a values-driven company that is supportive of one another, open and honest, undaunted by challenges, nimble and focused, and determined to excel and win. Our mission is to build voice AI for the world and use our global, diverse perspectives to achieve real generational breakthroughs. SoundHound ensures that individuals with disabilities are provided reasonable accommodations to participate in the interview process, perform essential job functions, and receive other employment benefits. Learn more about our philosophy, benefits, and culture at https://www.soundhound.com/careers.  To view our job applicant privacy policy, please visit https://static.soundhound.com/corpus/ta/applicantprivacynotice.html.   #LI-HYBRID #LI-PP1

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About HappyRobotHappyRobot is a platform to build and deploy AI workers that automate communication. See a demo Our AI workers connect to any system or data source to handle phone calls, email, messages…We target the logistics industry which relies heavily on communication to book, check on, & pay for freight. Primarily working with freight brokers, 3PLs, freight forwarders, shippers, warehouses, & other supply chain enterprises and tech startups.We raised a Series A round from a16z and YC and we’re growing very fast.We're looking for rockstars with a relentless drive, unstoppable energy, and a true passion for building something great—ready to embrace the challenge, push limits, and thrive in a fast-paced, high-intensity environment.Role OverviewAs a Deployment Strategist, your mission is to connect the dots between user needs, data insights, and product capabilities to help our customers unlock value. You’ll dive deep into our customer operations, partner directly with end users and decision-makers, and shape how HappyRobot’s technology is applied to their most critical challenges.What You’ll doPartnering with customers to understand their workflows, goals, and pain points—often embedding directly with their teams.Collaborating with Forward Deployment Engineers to scope, prototype, and deliver solutions powered by HappyRobot’s platform.Identifying and interpreting key datasets that drive customer decision-making, and working to integrate them into robust, scalable pipelines.Designing and refining user workflows that solve meaningful problems and scale across teams and functions.Leading training and onboarding sessions, ensuring new users are set up for success and our tools have lasting impact.Presenting findings and strategy to stakeholders at all levels—from frontline operators to executives.Driving customer expansion by scoping new use cases and shaping how we grow our footprint within organizations.What We’re Looking ForWe’re looking for analytical, product-savvy problem solvers who thrive in ambiguity and care deeply about user impact. You might be a great fit if:You have a strong intuition for how software can solve real-world problems.You're a compelling communicator and can influence technical and non-technical audiences alike.You're excited to work shoulder-to-shoulder with customers, from the frontlines to the boardroom.You love diving into messy data, complex systems, and open-ended challenges—and delivering clarity and structure.Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Fast Growth - Backed by a16z and YC, on track for double-digit ARR.Ownership & Autonomy - Take full ownership of projects and ship fast.Comprehensive Benefits - Healthcare, dental, vision coverage.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Work With the Best - Join a world-class team of engineers and builders.Our Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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The Opportunity AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, helping AI teams discover issues, diagnose problems, and improve the results of their AI applications. We are here to build world-class software that helps make AI applications work better — and we’re inviting you to join us on this mission. About Arize Phoenix Large Language Models (LLMs) like GPT4 are capable of human and super-human reasoning, but they don’t understand your personal data, are unable to perform complex tasks, remember the actions they performed yesterday, and so on. The core mission of the Arize OSS team is to enable developers to build LLM-powered applications with safety and observability in mind. We are at the forefront of a new way to build software. Doing this successfully will usher in a new age of knowledge automation and completely redefine the modern tech stack. Our product offerings consist of an open-source Typescript libraries as well as an enterprise platform. Arize Phoenix has hundreds of thousands monthly downloads and is used from large enterprises to early-stage startups - it is both easy to get started but robust for production use. We’re backed by TCV, Foundation Capital, Swift Ventures, and Battery Ventures. The Role You will focus on designing, building, and scaling the infrastructure that powers Arize’s platform services. You will work directly with our open-source team to ensure the Arize Phoenix’s  robustness, scalability, and accessibility for developers worldwide. This is a unique opportunity to contribute to foundational infrastructure that will shape the way organizations observe and evaluate AI systems. What You’ll Work On Collaborate with internal teams and the open-source community to architect and scale infrastructure that supports Arize Phoenix’s growth. Enable and enhance Phoenix’s SaaS capabilities by building out features such as central authentication, data retention, and capacity scaling. Build out a robust set of infrastructure tools and services that alleviates the operations across the suite of Arize's product offering. What Will Set You Apart 3+ years of experience building scalable infrastructure and developer tools, ideally in an open-source context. Strong understanding of the open-source development lifecycle and community dynamics. Expertise in Kubernetes, Terraform, and other modern infrastructure tools. Familiarity with build tools like Bazel and CI/CD systems. A pragmatic approach to solving problems and prioritizing impactful solutions over trends. Experience working with AI frameworks, LLM integrations, or observability platforms is a plus. Familiarity with Go, Python, and some TypeScript is a plus. Location: The estimated annual salary and variable compensation for this role is between $125,000 - $225,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.More About Arize Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world. Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c   Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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About the company Our client is revolutionizing legal technology with AI-driven tools that enhance efficiency and accessibility for legal professionals. They're undertaking high-impact technology transformation, partnering with a high-volume immigration law firm to optimize workflows and streamline processes. Role OverviewAs an AI Engineer, you will be at the forefront of integrating AI capabilities into their legal technology platform. You'll design and implement AI systems that enhance platform's ability to process legal documents, automate workflows, and provide intelligent assistance to legal professionals. Working with cutting-edge language models and AI frameworks, you'll help shape the future of legal technology while ensuring reliability, scalability, and ethical AI implementation.Key ResponsibilitiesAI System Development: Design and implement AI systems that leverage large language models for legal document processing and analysisPrompt Engineering: Develop and optimize prompts for effective model interactions in legal contextsModel Fine-tuning: Fine-tune and adapt models for specialized legal tasks and workflowsEvaluation Framework: Create robust testing and evaluation frameworks to ensure AI system reliability and accuracyIntegration: Work closely with backend teams to integrate AI capabilities into our existing infrastructureResearch & Innovation: Stay current with AI advancements and identify opportunities for applying new technologiesTechnical ProficiencyAI/ML Experience: Strong background in machine learning, natural language processing, and large language modelsProgramming: Proficiency in Python and popular AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)Backend Integration: Experience with RESTful APIs, microservices, and cloud platforms (AWS, GCP, Azure)Data Management: Expertise in handling large datasets and optimizing model performanceMLOps: Experience with ML model deployment, monitoring, and maintenance in production environmentsQualificationsExperience: 4-6 years of experience in AI/ML engineering, with demonstrated success in deploying production AI systemsTechnical Expertise: Strong foundation in machine learning, deep learning, and natural language processingProblem-Solving: Ability to tackle complex AI implementation challenges and optimize system performanceCommunication: Excellent ability to explain technical concepts to both technical and non-technical stakeholdersPerks and BenefitsRemote-First Work Environment: Enjoy the flexibility to work from anywhere, with a remote-first setup that supports work-life balance and productivity.Competitive Salary: We offer a competitive salary to recognize and reward your skills and contributions.Unlimited Paid Time Off: Take the time you need with an unlimited PTO policy, empowering you to recharge and maintain balance.Professional Development: Access resources for growth, including conference passes, online courses, and training programs to support your career advancement.Home Office Stipend: We provide a budget for setting up your home office with high-quality equipment and tools.Latest Tech Gear: Receive a top-of-the-line laptop and any necessary peripherals to ensure you have the best tools to do your best work.Team Retreats and Virtual Events: Participate in team-building retreats and regular virtual gatherings to connect with colleagues and strengthen our culture.Parental Leave: We offer paid parental leave to support you and your family during this important time.The Selection ProcessSilver Recruiter ScreenSilver Technical ScreenCTO Interview

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. Primary Purpose ​As an AI Data Specialist, you are responsible for supporting and driving the use of AI tool sets to define, develop, manage, and improve NiCE Enlighten AI’s data solutions.  In this capacity, you will act as an Interaction Analytics data expert who understands key data development and the impact of downstream cases and value to be derived from having data generated from unstructured interactions.  You will partner closely with the Customer Engagement Analytics (CEA) Research, Product and Services teams blending your data expertise with best-in-class technology advancements and client insights to accomplish the team’s objectives.   AI Data Specialists are experts in the value and insights from structured data derived from unstructured Customer Experience (CX) interactions.  It’s that expertise, along with technical fluency that allow the Enlighten AI data team to build scalable out of the box data structures that dive operational and measurable outcomes.  The range of responsibility include the development of the underlying data structures, along with the ability to understand new and evolving client requests for improvement and the ability to incorporate those needs into a successful build and execution plan for your domain expertise. The ideal candidate is intellectually inquisitive, with strong communication, organization, analytical and technical capabilities.  As a self-starter, they are not afraid to roll up their sleeves to learn and validate evolving toolsets while maintaining focus on what success looks like with our ultimate goals for data solutions.  As they gain and maintain system and data expertise, the roll will continue to open up for direct client interactions, feedback capture and build plans. Primary Functions/Responsibilities Serve as the (team) focal point for the development of pre-defined data structures for automated analysis of large sets of CX interactions across all channels (audio, chat, email, social, etc.). Support validations of completed and evolving data structures to ensure high standards for precision and recall are met Test evolving tools from Research that support the development of the data structures. Provide feedback to the Research and Product teams on how we continue to evolve tooling and data integration with CEA products. Work with client requirements to understand new requests and how we can or cannot meet them. Some team members may work directly with clients as a Subject Matter Expert to discuss data solutions, expectations and best practices. Educate field teams (Consulting and Customer Success) on data solutions, definitions, best practices, etc. Provide input on the use of developed data models for both Product and Field teams to optimize the use of developed data assets. As the Enlighten AI team is focused on Data Innovation, team members may be asked to support other projects, solutions and/or deployments using other Enlighten AI solutions. The discussed Research Toolsets are primarily focused on customized topic and semantic modeling components that provide a system driven approach to defining datapoints that mater within CX interactions. AI Data Specialists utilize the output of these tools to create a range of datapoints and provide feedback to improve the accuracy and usability of the system’s outputs. AI Data Specialists are experts in the data, not the underlying AI algorithms and applications (i.e. Data Scientists) . Required Education ​Bachelors degree in Management, Finance, Business Intelligence / Analytics, or a related field. Masters degree preferred. Required Experience/Skills 5+ years of consultative account/program management experience and/or significant experience with business intelligence, analytics, and data visualization as a services provider Experience with use of technology to build and analyze datasets for operational outcomes Experience with the development, positioning and quantification of operational recommendations Excellent oral and written communication skills in English Ability to create and deliver polished presentations using Microsoft PowerPoint to different levels of audience Ability to multi-task and meet deadlines when supporting requests that create competing priorities Ability to develop and maintain good working relationships with cross-functional teams Ability to communicate comfortably across all levels of corporate structure Ability to work with sales executives and assist with opportunities as subject matter expert Demonstrated ability to take the initiative and work in a self-directed manner Ability to thrive in a changing environment Preferred Experience Experience in Management Consulting This job description is not intended to be all-inclusive, and employee will also perform other reasonable related business duties as assigned by immediate supervisor and other management as required. ​This organization reserves the right to revise or change job duties as the need arises. This job description does not constitute a written or implied contract of employment.     About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff.We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale.Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.Role Summary:As an Engineering Manager, you will lead and inspire a team of engineers while driving the vision for technical strategy and execution. Your role will focus on building high-performing teams, delivering innovative solutions, and ensuring engineering excellence as we continue to scale our platform. You’ll partner closely with cross-functional teams to align engineering goals with organizational objectives, creating impactful solutions for our healthcare partners.What You’ll Do:Lead and mentor a diverse team of engineers, ensuring alignment with Notable's mission and promoting a culture of ownership, innovation, and accountability.Drive the technical direction of engineering projects by collaborating with product, design, and other business stakeholders, ensuring timely and high-quality deliverables.Implement and manage engineering metrics such as team velocity, code quality, and successful deployments to continually improve team performance and effectiveness.Facilitate agile processes within the team, promoting best practices in software development and continuous integration/continuous deployment (CI/CD) methodologies.Cultivate a talent pipeline by hiring and onboarding passionate engineers who align with our mission, and supporting their growth through mentorship and development opportunities.Engage with complex technical challenges, breaking them down into manageable components, and collaborating across teams to develop robust, scalable solutions.Support the establishment of best practices in code reviews, testing, and deployment to ensure high levels of system reliability and maintainability.Foster an environment of collaboration by continually seeking feedback from team members and stakeholders, using insights to drive improvement and innovation.What We’re Looking For:10+ years of relevant engineering experience in software development, architecture, or related fields.3+ years of leadership or management experience in an engineering setting.Strong problem-solving abilities with excellent coding and debugging skills across multiple programming languages.Deep understanding of modern web application development, microservices architecture, and cloud technologies.Proven track record of managing engineering metrics, including team velocity, delivery commitments, and code quality.Experience in writing maintainable, well-tested, and reliable code, along with a strong focus on engineering best practices.Passion for supporting product and design teams in developing comprehensive roadmaps and achieving organizational goals.Demonstrated success in building and maintaining high-performing teams in fast-paced, collaborative environments.A proactive and innovative mindset, with the ability to inspire and drive change.Successful in a fast-paced, collaborative environmentBeware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be me from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.