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Cloud platform engineer

Writer
-
US.svg
United States
Full-time
Remote
false
📐 About this roleWRITER is experiencing an incredible market moment as generative AI has taken the world by storm. We're looking for a cloud platform engineer to establish our cloud platform team, focusing on building and scaling our multi-cloud architecture across AWS, GCP and Azure regions. In this founding role, you'll architect and implement highly scalable systems that handle complex multi-tenant workloads while ensuring proper tenant isolation and security.As a cloud platform engineer, you'll work closely with our development teams to build robust, automated solutions for environment buildout, tenant management, and cross-region capabilities. You'll design and implement systems that ensure proper tenant isolation while enabling efficient environment lifecycle management. This is a unique opportunity to establish our cloud platform team and have a direct impact on our platform's scalability and security, working with cutting-edge technologies and solving complex distributed systems challenges.You will report to Charles Cooke, head of cloud operations.🦸🏻‍♀️ Your responsibilities:Establish and lead the cloud platform teamArchitect and implement multi-cloud infrastructure across AWS, GCP and Azure regionsDesign and build highly scalable, distributed systems for multi-tenant workloadsDefine and implement best practices for automated infrastructure across cloud providersArchitect and implement tenant isolation mechanisms to ensure data security and complianceCreate and manage environment lifecycle automation for dev/qa/demo environmentsDesign and implement cross-region capabilities and active-active deploymentsDevelop tenant migration and pod management solutionsCollaborate with development teams to understand tenant requirements and constraintsImplement infrastructure as code for region-level deploymentsMonitor and optimize tenant isolation and securityDocument tenant management processes and best practicesStay current with industry trends in multi-tenant architecturesParticipate in on-call rotation for critical platform servicesContribute to technical decisions around tenant isolation and region managementMentor and grow the cloud platform teamImplement and maintain deployment automation and CI/CD pipelinesDesign and optimize Kubernetes infrastructure for multi-tenant workloadsDrive infrastructure cost optimization and efficiency⭐️ Is this you?Have 8+ years of experience in cloud platform engineering or related role (site reliability engineering)Have 3+ years of experience leading engineering teamsAre passionate about building secure, scalable multi-tenant platformsHave extensive experience with cloud platforms (AWS, GCP, or Azure)Are proficient in infrastructure as code (Terraform, CloudFormation, etc.)Have deep experience with multi-tenant architectures and tenant isolationCan write clean, maintainable code in Python, Go, or similar languagesUnderstand containerization and orchestration (Docker, Kubernetes)Have proven experience with cross-region deployments and active-active architecturesAre comfortable working with multiple development teamsCan communicate technical concepts clearly to both technical and non-technical audiencesTake ownership of projects and drive them to completionAre excited about building automated infrastructure solutionsHave a strong focus on security and tenant isolationAre comfortable with on-call responsibilitiesHave experience with agile development methodologiesHave experience establishing new teams and best practicesCan balance technical leadership with hands-on implementationAre excited about solving complex distributed systems challengesHave experience with multi-cloud architectures and hybrid deployments 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.
MLOps / DevOps Engineer
Data Science & Analytics
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QA Tech Lead, Web Consoles - Inference Service

Cerebras Systems
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CA.svg
Canada
Remote
false
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role We are seeking an experienced QA Tech Lead – Web Consoles to join the Cerebras AI Inference Service organization. The individual needs to technically lead a team, facilitate adaptations of new methodology and proven experiences into the role, is capable of hands-on work whenever needed, and has excellent teamwork and problem-solving abilities. The ideal candidate is a leader who can drive growth, quality and ownership to thrive in a rapidly changing environment. Responsibilities Lead functional testing of all customer‑facing components, coordinating closely with development and automation teams. Participate in architectural and test‑strategy discussions to identify and close quality gaps. Perform UI/UX and web‑application testing across browsers, devices, and environments. Develop and maintain automation frameworks (Python/pytest) and front‑end/back‑end test suites using Playwright, Cypress etc. Create comprehensive test strategies aligned with product goals, technical architecture, and customer experience. Establish standards for test planning, execution, and documentation; mentor QA engineers and champion best practices. Build tooling and CI/CD integrations (GitHub Actions, Jenkins, CircleCI) to enable faster feedback cycles and scalable test coverage. Lead cross‑functional collaboration with engineers, product managers, UX, and design to embed quality from ideation through release. Define and drive key quality metrics; triage defect patterns and deliver actionable insights through dashboards and reports. Proactively identify future testing needs across cloud, edge, and device interfaces and shape the long‑term QA roadmap. Collaborate with SWEs and QAEs across US, Canada, and India to establish clear and testable requirements and acceptance criteria. Skills And Qualifications Proven track record of leading from the front, defining quality metrics, driving dashboards/reports, and influencing product quality decisions. Passion for user experience, accessibility, and long‑term product health. Excellent communication skills emphasizing collaboration, documentation, and continuous improvement. 5+ years of experience building QA systems for cloud-based SaaS and/or API services, preferably of AI systems. Ability to build and maintain test tooling and infrastructure that supports continuous integration and scalable coverage. Experience mentoring junior QA engineers and establishing best‑practice test processes across teams. Proficiency with Python automation frameworks (pytest) and modern web‑test tools (Playwright, Cypress). Hands‑on experience with cloud‑based infrastructure and CI/CD pipelines (GitHub Actions, Jenkins, CircleCI). Location This role follows a hybrid schedule, requiring in-office presence 3 days per week. Please note, fully remote is not an option. Office locations: Toronto Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
Software Engineer
Software Engineering
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Product Enablement (ILT) Intern (f/m/d)*

Parloa
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GE.svg
Germany
Intern
Remote
false
YOUR MISSION: We are looking for a Product Enablement Intern to build and scale the operational backbone of our enablement function to support our Product Enablement efforts in getting our Customers and Partners trained on Parloa Products using a variety of methods, including online self-paced training as well as Instructor-Led Training (ILT).  In this role, you will drive the processes, tools, and systems that ensure our ecosystem has the right knowledge, skills, and resources at the right time. While Enablement Operations is your primary focus, you will also contribute to Instructional Design by developing engaging, effective learning content that supports key enablement initiatives. IN THIS ROLE YOU WILL: Update Workshop Assets: Rework our current workshop assets as needed when new features, functionality, or products are launched. Optimize and Improve: Evaluate our current Instructor-Led Training Workshop processes, and recommend improvements that will improve the quality and efficiency of delivering Instructor-Led Training Workshop processes. Implement Improvements: Make the workflow process for managing registrations, certification, and scheduling of Instructor-Led Training more effective and efficient. Facilitate or Moderate Instructor-Led Training: Work with Subject Matter Experts (SME) to deliver Instructor-Led Training to our Partners.   WHAT YOU BRING TO THE TABLE: Strong organizational and analytical skills, with the ability to streamline processes and leverage data for decision-making. Ability to manage multiple projects, stakeholders, and priorities in a fast-paced environment. Familiarity with instructor-led training processes and tools would be beneficial (Zoom, LMS, or other event management tools).  Have a passion for making learning accessible, effective, and measurable. Highly motivated, curious, and eager to learn and collaborate in a dynamic environment, and has a proactive mindset and isn’t afraid to take ownership of tasks. Possesses strong communication skills in English (German is a plus).   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, and 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. Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks.   Your recruiting process at Parloa: Meet your manager → Meet Director of Product Enablement    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.
Product Manager
Product & Operations
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Software Engineering Intern, Product Security (Summer 2026)

HP IQ
USD
0
45
-
48
US.svg
United States
Intern
Remote
false
Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About the Role HP IQ’s Security Team is creating something the world has never seen before. We are attempting something truly impactful — innovating at the deepest levels of hardware and launching a service that will inspire users to experience computing in an entirely new way. Privacy and security are not just priorities; they are fundamental to our product and essential to our success. We are seeking a software engineering intern ready to take on the challenge of securing users’ devices, users’ data, and HP IQ’s infrastructure. We see security as the key to accomplishing what other companies cannot. If you thrive at balancing exceptional user experiences with strong security, this is the place for you. 2026 Internship Program Dates: May/June-August/September 2026. Final dates based on student schedule. What You Might Do Implement security features and write code (We use a lot of C, C++, Java and Python.) Analyze the security and privacy features of HP IQ products and experiences Work on a number of security & privacy features such as Multi-Factor (MFA), privacy consent, encryption, authentication, Hardware Security Modules (HSMs), etc. Essential Qualifications  Pursuing a degree (Bachelors or Masters) in Computer Science or related technical field  Strong software engineering skills Ability to thrive in a collaborative environment Interest in privacy & security Interest in product design & development Experience with C, C++, Java or Python Preferred Skills An understanding of security concepts (cryptography, access control, authorization, network security, software security) Ability to “think paranoid” as a basis for threat modeling Salary range: $45 - $48/per hourCompensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement
Software Engineer
Software Engineering
MLOps / DevOps Engineer
Data Science & Analytics
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Software Engineering Intern, Systems (Summer 2026)

HP IQ
USD
0
45
-
48
US.svg
United States
Intern
Remote
false
Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role HP IQ's System Software team enables on-device experiences to take full advantage of our hardware capabilities. We collaborate with internal and external partners in a high-leverage environment that enables us to spend a majority of our time developing solutions that are unique to our hardware, sensors, algorithms, and interaction models. If you enjoy solving complex, interdisciplinary problems with a world-class team, we'd love to hear from you! 2026 Internship Program Dates: May/June-August/September 2026. Final dates based on student schedule. What You Might Do Learn what it's like to be a part of a world-class embedded software team building a first-of-its-kind product in a startup environment Develop low-level driver and framework software in C and C++ Build automation tools (maybe even a robot) to test our hardware platform in repeatable ways Debug issues at the interface between hardware and software Optimize software for better performance and lower power consumption Collaborate in the software engineering process with documentation, testing, and code review Work on wireless software development, for specific device applications and use-cases Essential Qualifications  Pursuing a Bachelor’s or Master's in Computer Engineering, Computer Science, Electrical Engineering, or similar field Experience in at least one of the following programming languages: C++, C, or Python At least one prior course project, internship, or research project that demonstrates your programming skills Preferred Skills Familiarity with modern C++ Experience with Android development, especially native apps or AOSP Experience with Linux Kernel driver development Experience porting reference algorithms to hardware accelerators (GPU, DSP, etc) Familiarity with ARM System-on-Chip (SOC) architecture Experience developing bare-metal firmware for microcontrollers Ability to use common lab equipment (eg, logic analyzers) to debug low-level SW issues Salary range: $45 - $48/per hour  Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement
Software Engineer
Software Engineering
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Applied Research Engineer – LLM Training (f/m/d)

AlephAlpha
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GE.svg
Germany
Full-time
Remote
false
Aleph Alpha Research’s mission is to deliver category-defining AI innovation that enables open, accessible, and trustworthy deployment of GenAI in industrial applications. Our organization develops foundational models and next-generation methods that make it easy and affordable for Aleph Alpha’s customers to increase productivity in finance, administration, R&D, logistics, and manufacturing processes. Our model releases and research bio can be found on our company Hugging Face.We are growing our Frontier LLM Research Engineering team with an experienced model trainer who will be responsible for conducting experiments that drive novel research across the entire lifecycle of model training. This involves proposing novel LLM architectures, datamixes, and evaluations to advance our offerings. This role sits at the intersection of research and engineering and requires a strong coding and AI science background.The goal of our Frontier team is to own the entire lifecycle of model training. This role will contribute to research across a wide range of topics, including (continuous) pre-training, post-training, and synthetic data generation, with a strong emphasis on scalable training and data pipelines. Since the model artifacts produced by Frontier will power our product offerings, we expect the successful candidate to be excited about language model applications and their real-world use cases.Your responsibilities:Research and develop novel approaches and algorithms that improve training of foundation models for practical use in real-world applicationsDevelop large-scale, robust, distributed training and data generation pipelinesAnalyze and benchmark state-of-the-art as well as new approaches in LLM researchCollaborate with scientists and engineers at Aleph Alpha, Aleph Alpha Research, external industrial and academic partners, and directly with customers Publish own and collaborative work on machine learning venues, and release code and models for use by the broader research communityYour profile:Basic QualificationsRecent experience addressing complex, cutting-edge AI challenges, with expertise in at least one of: distributed training, training data, model architecturesAdvanced knowledge of transformers, deep learning concepts and practices, and ideally experience coding and pretraining LLMs from scratchStrong software engineering skills, with expertise in Python and related deep-learning frameworks (PyTorch)Experience with shipping production-ready models, building on open-source AI librariesProven ability to apply advanced scientific methods to novel problems, resulting in impactful outputs such as publications or projectsWillingness to work from Heidelberg, Berlin, or in a hybrid setup within Germany; we value in-person collaboration and will cover all travel expenses to our Research HQ in Heidelberg for occasional onsite workPreferred QualificationsPhD in machine learning or related fields with publications in top tier ML/AI venues (eg NeurIPS, ICML, ICLR, EMNLP, NAACL, ACL, etc)Experience writing kernels for GPUs (with CUDA, Triton, etc.)Production-level skills with at least one other programming language, especially systems languages (Rust, C/C++, Go, etc.)Fluency in writing scientific documentation and proposals, with strong public speaking skills in scientific contextsStrong collaborative and interpersonal skills, with a track record of contributing to a multidisciplinary team's technical and strategic successWhat you can expect from usBecome part of an AI revolution, contribute to Aleph Alpha’s mission to provide technological sovereigntyWork with international industry and academic experts Share parts of your work via publications and source-available code An inspiring working environment with short lines of communication, horizontal organization, and great team spirit 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
Machine Learning Engineer
Data Science & Analytics
Research Scientist
Product & Operations
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Clinical Success Director - Strategic Accounts (Eastern Time Zone)

Abridge
USD
163700
-
192600
US.svg
United States
Full-time
Remote
true
About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs the Clinical Success Director - Strategic Accounts, you will be at the forefront of delivering an exceptional generative AI platform for clinicians. Your work will directly contribute to improving the cognitive burden associated with clinical documentation. You will collaborate with clients, partners, product managers, designers, machine learners, and healthcare professionals to bring to life products that bridge the gap between clinical conversations and actionable data. What You’ll Do Provide clinician enablement by delivering education and training to new users, building collateral and strategies to support clinician adoption, and managing relationships with external clinical champions and advisors.Surface product feedback through expert advice on existing clinical documentation strategies and work with product teams to define a clear clinical product roadmap.Provide product strategy recommendations by aggregating user feedback and developing artifacts that articulate how product enhancements may expand the reach of our product(s) and improve clinician user experiences.Develop, monitor, and track end-user utilization and clinical success metrics to help communicate long-term impact and value.Evangelize product capabilities and direction to prospective customers by creating sales collateral, conducting product demos, and more.What You’ll Bring 5+ years of experience as a clinician (MD, DO, PA, NP)Experience with Epic and a deep understanding of clinical documentation workflowsA passion for solving problems and creating new opportunities for cliniciansProven track record of leading successful initiatives from conception through launch. Ability to build relationships with different layers of an organization, from front-line staff to executives.Strong understanding of the healthcare industry, specifically clinical workflows and regulatory requirementsExperience working with cross-functional teams in a fast-paced, startup environment***This role requires up to 20% travel******This role must be based in the Eastern Time Zone***Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 
Product Manager
Product & Operations
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Civil Engineering - Freelance AI Trainer

Mindrift
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BR.svg
Brazil
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Master’s Degree or PhD in Civil Engineering. You have a 3 years of professional experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
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Civil Engineering - Freelance AI Trainer

Mindrift
0
0
-
0
GB.svg
United Kingdom
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Master’s Degree or PhD in Civil Engineering. You have a 3 years of professional experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
Machine Learning Engineer
Data Science & Analytics
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Civil Engineering - Freelance AI Trainer

Mindrift
-
IN.svg
India
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Master’s Degree or PhD in Civil Engineering. You have a 3 years of professional experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
Machine Learning Engineer
Data Science & Analytics
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Civil Engineering - Freelance AI Trainer

Mindrift
0
0
-
0
CA.svg
Canada
Part-time
Remote
true
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Master’s Degree or PhD in Civil Engineering. You have a 3 years of professional experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
Machine Learning Engineer
Data Science & Analytics
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Research Engineer / Scientist, Personality and Model Behavior

OpenAI
USD
295000
-
530000
US.svg
United States
Full-time
Remote
false
About the TeamThe Personality & Model Behavior team conducts research on how to shape personalities and guide the behavior of models. We think about topics such as emotional intelligence, reasoning, and how models interact thoughtfully with users. We integrate those research into the final products of OpenAI that are used by hundreds of millions of users.  About the RoleWe’re looking for people who are experts in the fields such as reinforcement learning, machine learning, natural language processing, etc. Join us if you are passionate about tackling cutting-edge, open-ended research challenges and transforming your findings into real-world products.In this role, you will:Conduct research around personality and model behavior, leveraging and developing tools such as synthetic data, reinforcement learning, reasoning to shape the personality and model behavior, including models such as o3, o4-mini, 4o, etc.Build evaluations and pipelines to facilitate the development and research.Innovate new post-training methods.Integrate your research into the final product of OpenAI. You might thrive in this role if you:Have a deep understanding of machine learning and its applications.Have prior knowledge in training and optimizing models and building evaluations.Are willing to dive into large ML codebases to debug issues.Thrive in dynamic and technically complex environments.Have a track record of delivering innovative, out-of-the-box solutions to address real-world constraints.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Research Scientist
Product & Operations
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Analytics Data Engineer

HappyRobot
USD
0
120000
-
220000
US.svg
United States
Full-time
Remote
false
About HappyrobotHappyRobot is a platform to build and deploy AI workers that automate communication. See a demoOur 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’re thrilled to share that with our $44M Series B, HappyRobot has now raised a total of $62M — backed by leading investors who believe in our mission and vision for the future.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.About the RoleBuild foundational data products, dashboards and tools to enable self-serve analytics to scale across the company.Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company.Build and maintain robust data pipelines and models to ensure data quality.Partner with Product, Engineering, and Design teams to inform decisions.Translate complex data into clear, actionable insights for product teams.Love working with data. Love making product better. Love finding the story behind the numbers.ResponsibilitiesDefine, build, and maintain product metrics, dashboards, and pipelines.Write SQL and Python code to extract, transform, and analyze data.Design and run experiments (A/B tests) to support product development.Proactively explore data to identify product opportunities and insights.Collaborate with cross-functional teams to ensure data-driven decisions.Ensure data quality, reliability, and documentation across analytics efforts.Must Have3+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.Strong SQL and data engineering skills to transform data into accurate, clean data models (e.g., dbt, Airflow, data warehouses).Advanced analytics experience: segmentation and cohort analysis.Proficiency in Python for data analysis and modeling.Excellent communication skills: able to explain complex data insights clearly.Curious, collaborative, and driven to make an impact in a fast-paced environment.Nice to HaveExperience in B2B SaaS or AI/ML products.Familiarity with product analytics tools (e.g., Mixpanel, Amplitude).Exposure to machine learning concepts or AI-powered systems.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.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Comprehensive Benefits - Healthcare, dental, vision coverage.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.
Data Engineer
Data Science & Analytics
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Strategic Projects Associate, India

Handshake
INR
3050000
0
-
0
IN.svg
India
Full-time
Remote
false
About Handshake AIHandshake AI is trusted by top AI labs and technology companies to deliver high-quality talent and operational execution for their most important model training initiatives. As a Strategic Project Associate (SPA), you’ll be at the center of our delivery engine making sure projects run smoothly, talent pipelines stay healthy, and client expectations are met.What sets us apart is that we are the first company to recognize India’s critical role in building out frontier AI models at scale and our team reflects this global-first, future-forward approach.You’ll be joining a group of operators and strategists who have spent years at the forefront of the human data industry, working with some of the brightest minds in AI research and development.About the RoleAs a Strategic Project Associate (SPA), you will be a key driver in making sure Handshake AI delivers flawlessly for our customers. This role blends execution, analysis, and problem-solving with a unique opportunity to contribute to projects that directly impact the training of state-of-the-art AI models.You will work hand-in-hand with Strategic Project Leads, Delivery Leads, and Operations leadership gaining a front-row seat to how the human data layer of AI is being built. This is a launchpad role with significant growth potential, designed to prepare you for higher-impact leadership roles in project delivery and client strategy.We work 5 days in-office and half days remotely on Saturday.Key ResponsibilitiesRun the Core Engine: Drive the day-to-day execution of projects from setting up operational workflows to ensuring deadlines are met and deliverables exceed client expectations.Build and Maintain Expert Networks: Support onboarding of hundreds of domain experts across diverse industries, keeping pipelines healthy and engagement high.Own Project Visibility: Track KPIs, maintain dashboards, and provide regular updates to leadership, ensuring stakeholders always have a clear view of project health.Partner with Senior Leaders: Work closely with Strategic Project Leads to translate client requirements into action plans and unblock execution bottlenecks.Elevate Quality & Efficiency: Propose and implement process improvements and automations that scale our ability to deliver at speed and quality.Support Client Impact: Help prepare updates and progress reports that showcase results to clients and highlight opportunities for expansion and upsell. Desired CapabilitiesBachelor’s degree in STEM, business or a related field.Early-career experience in operations, consulting, research, or project management preferred (internships count).Analytical mindset with comfort using spreadsheets (Excel/Google Sheets) and project management tools (Notion, Asana, Jira, etc.).Clear communicator with excellent written and verbal English.Highly organized, detail-oriented, and driven to deliver outcomes rather than just complete tasks.You’ll Thrive Here If You:Are motivated by solving operational problems that have direct, measurable impact.Want to be part of a company shaping the future of AI through human data.Can navigate ambiguity, act with urgency, and keep multiple workstreams moving in parallel.Are ambitious and looking for a stepping stone into leadership roles in operations or client strategyPerksGenerous Equity Grant vested over 4 yearsHousing Bonus: 1.3 Lakhs spread throughout the first yearWell Defined Performance Bonus ranging between 10 - 100% of baseSnacks at the officeDinner at the officeApplication ProcessWe understand the pain of being dragged through multiple meaningless steps. Here is how we do it. It is a 2 step process:A short interview, which can be done either live or asynchronously.Ideally, we’d have you spend a day in the office with our leadership team, working through an onsite case and presenting your solution to the panel by the end of the day. If you’re not based in Bangalore, you can work on the case asynchronously and present your solution over Zoom instead.#LI-SD2
Project Manager
Product & Operations
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Implementations Manager

Decagon
USD
0
150000
-
190000
US.svg
United States
Full-time
Remote
false
About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the RoleAs Decagon’s founding Implementation Manager, you will build and scale the function that delivers world-class AI Agents for our customers. You’ll own the strategy and execution for how we implement Decagon across complex environments, ensuring every deployment is smooth, impactful, and sets the stage for long-term customer success.You’ll partner with customer teams to understand their workflows, design strategies that align with their goals, and give them the confidence to succeed with AI. You’ll work cross-functionally with Sales, Product, and Engineering to translate customer needs into successful implementations and lasting outcomes. You’ll be the steady hand through complex rollouts, coordinating across stakeholders, driving alignment, and ensuring every launch delivers real impact.The ideal candidate is equally comfortable solving technical implementation challenges, presenting to executives, and designing repeatable processes that raise the bar for all future implementations.ResponsibilitiesLead enterprise AI Agent implementations from kickoff through rollout, ensuring smooth execution and adoption.Design tailored strategies that connect Decagon’s platform to each customer’s business goals.Work closely with Sales, Product, and Engineering to scope requirements, configure solutions, and ensure reliable outcomes.Establish best practices and frameworks that make future implementations faster and more repeatable..You may be a good fit if you have:3+ years in implementations, onboarding, project management, or customer-facing technical roles.Proven experience leading complex software or AI implementations with measurable outcomes.Technical fluency with SaaS platforms, integrations, and APIsExcellent communication skills with the ability to connect with both execs and operators.Strong organizational and problem-solving skills; able to bring structure to ambiguity.Ability to thrive in a fast-paced, high-growth startup environment.Even Better If You Have:Experience deploying AI, automation, or customer service platforms.Familiarity with enterprise SaaS environments like Zendesk or Salesforce
Project Manager
Product & Operations
Implementation Lead
Software Engineering
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Senior Full Stack Engineer

Agent
USD
8000
7000
-
10000
MX.svg
Mexico
Full-time
Remote
true
Title: Sr Full Stack Engineer Remote: Anywhere in LATAM (Working PST Hours) Salary: $8,000+ USD/month Type: Full-time About the RoleOur client is an AI-native agency transforming the Amazon seller experience. They are developing a cutting-edge in-house automation platform powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and agentic AI to drive profitable, scalable growth for Amazon sellers.As a Senior Full Stack Engineer, you'll be part of a small, high-impact team at an early stage, helping build AI-enabled tools that disrupt traditional e-commerce agency models. You’ll play a key role in building, scaling, and iterating on platform features that blend automation, AI, and intuitive UI/UX. What You’ll DoBuild AI-Enabled Products: Develop automation tools and services using Python and modern JavaScript frameworks.LLM Integration: Design and maintain LLM-based features and RAG pipelines to support intelligent automation.Develop Agentic Tools: Build scalable agent-driven systems using AI frameworks and web automation tools like Selenium or Playwright.Rapid Prototyping: Quickly ideate, build, and iterate on features in response to evolving product needs.Scale Thoughtfully: Build with scalability in mind—fast MVPs that evolve into robust, maintainable systems.Who You AreExperienced Full Stack Engineer: 5+ years of experience (4–5 years preferred) across backend and frontend development.Python & AI Savvy: Strong Python skills and direct experience with LLMs, AI frameworks, and RAG optimization.Automation Enthusiast: Proficiency with tools like LangChain, CrewAI, Selenium, or Playwright.Frontend Capable: Familiar with React, Next.js, or similar frameworks for building modern web interfaces.Startup-Minded: Comfortable with ambiguity, fast-paced environments, and a strong bias toward shipping and learning. Preferred QualificationsExperience at a high-growth or early-stage startup.Familiarity with e-commerce, marketplaces, or Amazon’s seller ecosystem.Exposure to cloud platforms (AWS, GCP) and DevOps practices.Portfolio or open-source projects involving AI, RAG, or automation.Why Join?Join a passionate, highly skilled founding team.Help shape a next-generation AI automation platform.Enjoy flexible, fully remote work.Competitive compensation and a clear path to impact.
Software Engineer
Software Engineering
Machine Learning Engineer
Data Science & Analytics
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Clinical Intelligence Associate

Tandem
USD
0
100000
-
140000
US.svg
United States
Full-time
Remote
false
Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleAs a Clinical Intelligence Associate at Tandem, you will help define the clinical standards that guide how we scale our platform. You’ll translate your experience into structured frameworks that inform everything from how medical records are interpreted to how treatment decisions are supported — improving the accuracy, speed, and consistency of patient access workflows across the board.This is a high-context, cross-functional role that blends clinical expertise with systems thinking. You will work closely with our product, engineering, and AI teams to define decision logic, surface edge cases, and help us build reliable, clinically sound tools. Your work will shape the foundation of how Tandem supports providers and patients at scale — and help ensure our platform reflects the best of both medicine and technology.This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Tandem's success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.If you join, you will:Translate clinical expertise into scalable logic, workflows, and quality standards used across Tandem’s platformCurate and audit datasets to maintain high-quality, representative training and testing materialEvaluate and refine system performance to ensure clinical accuracy and reliability, using your expertise to analyze feedback and resolve issues with AI and agent outputsCollaborate cross-functionally to ensure platform behavior reflects real-world clinical reasoning and standardsExpand knowledge across medical specialties to inform the development of AI solutions tailored to diverse clinical needsInform the development of new products, services, and specialty-specific modulesWe’ll be most excited if you have:2–8 years as a board certified Nurse Practitioner (NP), Physician Assistant (PA), or similar advanced clinical role, directly providing patient care and clinical decision-makingExperience as part of an interdisciplinary team in outpatient or specialty settings, particularly in contexts involving medication prior authorizations and ensuring patient access to therapyStrong written communication, with an ability to translate clinical complexity into context and logic that can be understood by non-clinical teamsComfort and/or a strong interest in collaborating with product, engineering, and data science teammates on building new technologiesHigh NPS with your former teammatesThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem 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.
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AI Prompt Engineer

Magical
-
US.svg
United States
Full-time
Remote
false
Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for AI Prompt Engineers to help us reach $XXM ARR in the next 9 months. As a founding Prompt Engineer at Magical, you will play a critical role in bridging the gap between our cutting-edge AI automation platform and our customers’ needs. You’ll work directly with customers, helping them deploy, integrate, and optimize Magical’s solutions to drive business value. This role requires a blend of technical knowledge, problem-solving, customer engagement, and product customization to ensure the customer’s seamless adoption, success, and expansion over time.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.What You’ll DoBuild custom workflow configurations via AI prompting and internal tools to extend Magical’s capabilities for specific customer use cases.Provide technical guidance and best practices to customers, ensuring smooth onboarding and adoption.Build relationships with customers to understand their workflow challenges and design tailored AI-powered automation solutions using Magical’s platform.Deploy, configure, and integrate Magical’s automation technology with customer environments, including CRMs, EHRs and loan origination systems.Act as the technical liaison between customers and Magical’s product and engineering teams, capturing feedback and driving improvements.Troubleshoot and resolve technical issues related to deployments, integrations, and performance optimization.Be a vocal member, helping the engineering team build internal tools and documentation to streamline future customer implementations.Identify opportunities for customers to expand their use of Magical’s platform, upselling additional solutions and driving account growth.Who You Are3+ years of experience in engineering, solutions engineering, QA engineering, or similar technical backgroundDeep AI prompting proficiencyA top project manager. You can wrangle something fuzzy into a project plan and you’ll do whatever is needed to make it happenFamiliarity with business process automation, workflow optimization, or AI-driven solutions is a plusAbility to manage multiple projects, engage with senior stakeholders, and communicate technical concepts in a clear and structured manner.Willingness and ability to travel to customer sites as required for setup and implementation.A self-starter with a strong ability to adapt, learn quickly, and thrive in a fast-paced, startup environment.Who We AreAt Magical, we empower organizations to automate the complex, manual workflows that are essential to their operations. These workflows are the backbone of industries that keep the world running, yet many organizations remain burdened by resource constraints and outdated manual processes, hindering their efficiency and innovation.Magical leverages AI and a purpose-built workflow automation platform to seamlessly transform long-form, multi-system workflows into fully autonomous processes. We enable teams to scale operations, reduce costs, and focus on what matters most.Backed by leading investors, including Coatue, Greylock, Lightspeed and Bain Capital Ventures, Magical is reimagining the future of work by equipping teams with the tools to unlock hidden inefficiencies, automate with precision and achieve unprecedented operational scale.
NLP Engineer
Software Engineering
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AI Prompt Engineer

Magical
-
CA.svg
Canada
Full-time
Remote
false
Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for AI Prompt Engineers to help us reach $XXM ARR in the next 9 months. As a founding Prompt Engineer at Magical, you will play a critical role in bridging the gap between our cutting-edge AI automation platform and our customers’ needs. You’ll work directly with customers, helping them deploy, integrate, and optimize Magical’s solutions to drive business value. This role requires a blend of technical knowledge, problem-solving, customer engagement, and product customization to ensure the customer’s seamless adoption, success, and expansion over time.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.What You’ll DoBuild custom workflow configurations via AI prompting and internal tools to extend Magical’s capabilities for specific customer use cases.Provide technical guidance and best practices to customers, ensuring smooth onboarding and adoption.Build relationships with customers to understand their workflow challenges and design tailored AI-powered automation solutions using Magical’s platform.Deploy, configure, and integrate Magical’s automation technology with customer environments, including CRMs, EHRs and loan origination systems.Act as the technical liaison between customers and Magical’s product and engineering teams, capturing feedback and driving improvements.Troubleshoot and resolve technical issues related to deployments, integrations, and performance optimization.Be a vocal member, helping the engineering team build internal tools and documentation to streamline future customer implementations.Identify opportunities for customers to expand their use of Magical’s platform, upselling additional solutions and driving account growth.Who You Are3+ years of experience in engineering, solutions engineering, QA engineering, or similar technical backgroundDeep AI prompting proficiencyA top project manager. You can wrangle something fuzzy into a project plan and you’ll do whatever is needed to make it happenFamiliarity with business process automation, workflow optimization, or AI-driven solutions is a plusAbility to manage multiple projects, engage with senior stakeholders, and communicate technical concepts in a clear and structured manner.Willingness and ability to travel to customer sites as required for setup and implementation.A self-starter with a strong ability to adapt, learn quickly, and thrive in a fast-paced, startup environment.Who We AreAt Magical, we empower organizations to automate the complex, manual workflows that are essential to their operations. These workflows are the backbone of industries that keep the world running, yet many organizations remain burdened by resource constraints and outdated manual processes, hindering their efficiency and innovation.Magical leverages AI and a purpose-built workflow automation platform to seamlessly transform long-form, multi-system workflows into fully autonomous processes. We enable teams to scale operations, reduce costs, and focus on what matters most.Backed by leading investors, including Coatue, Greylock, Lightspeed and Bain Capital Ventures, Magical is reimagining the future of work by equipping teams with the tools to unlock hidden inefficiencies, automate with precision and achieve unprecedented operational scale.
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Developer Infrastructure, Tech Lead

Augment Code
USD
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225000
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300000
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United States
Full-time
Remote
false
About Augment Augment Code is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, Augment Code is redefining how modern software is built. About the Role We’re looking for a strong software engineer with a passion for helping developers be more productive by building the tools they need. As our Developer Infrastructure Tech Lead, you’ll design and drive the systems that make our engineers faster, safer, and more effective.You’ll shape our CI/CD pipelines, developer tooling, and infrastructure strategy, ensuring we can scale effectively in a fast-moving startup environment. This is a hands-on leadership role where you’ll architect solutions, guide best practices, and work closely with feature teams to remove friction from the development lifecycle. In this role you will: Architect, build, and maintain scalable CI/CD systems that go beyond off-the-shelf solutions. Define and implement strategies to maximize developer productivity, from build tooling to dev workflows. Push the boundaries of how AI can be applied to developer workflows, experimenting with novel tools and approaches to unlock new levels of engineering productivity. Partner with engineering teams to improve service-based architectures and streamline deployment processes. Mentor and guide other engineers in building reliable, high-performance developer infrastructure. Balance short-term fixes with long-term vision in a fast-paced startup environment. You have: Proven experience designing and building CI/CD systems from the ground up. A strong understanding of developer productivity challenges and how to address them. Deep experience with service-based architectures and Kubernetes. Experience leading technical initiatives and collaborating across teams. Comfort operating in a dynamic, unstructured startup environment. While not required, it’s an added plus if you also have: Experience with Bazel or other advanced build systems. Familiarity with cloud platforms (especially GCP). Familiarity with observability platforms and monitoring best practices. Prior experience scaling infrastructure in a high-growth startup. Employee Benefits: Flexible work hours Competitive salary & Equity Tools Stipend Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair Numerous company social events We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy. Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations. Annual Base Salary Range$225,000—$300,000 USD
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