Trabajos deep learning engineer en Austin, TexasCrear alertas

Senior AI/ML Software Developer Location: Austin, TX (Onsite) Position Type: Long-Term Contract Industry: Artificial Intelligence / Public Sector Overview We are seeking an experienced Senior AI/ML Software Developer to support cutting-edge artificial intelligence initiatives focused on transportation engineering, digital delivery, automation, and infrastructure modernization. This role will transform existing AI proof-of-concepts into scalable, enterprise-grade applications that support engineering workflows such as automated quantity extraction, plan review automation, asset detection, model ingestion, digital twins, and intelligent decision support systems. The ideal candidate combines strong software engineering expertise with hands-on AI/ML experience and a passion for building production-ready applications that deliver real-world impact. Key Responsibilities AI & Machine Learning Development Design, develop, and deploy production-ready AI and machine learning solutions Extend existing proof-of-concept applications into enterprise-scale platforms Build AI-powered applications supporting: Plan review automation Digital delivery initiatives Roadway asset detection Engineering workflow automation Intelligent data processing Develop and optimize machine learning pipelines for production environments LLM & Generative AI Solutions Build and deploy: Retrieval-Augmented Generation (RAG) systems Prompt engineering solutions Fine-tuned LLM applications AI copilots and intelligent assistants Work with: Hugging Face Ollama GPT-style models Open-source LLM ecosystems Computer Vision & Analytics Develop computer vision solutions utilizing: PyTorch TensorFlow OpenCV YOLO Implement: Object detection Image segmentation Real-time inference solutions Support infrastructure and transportation-related image analytics initiatives Cloud, DevOps & MLOps Deploy and manage AI workloads across cloud platforms including: Azure AI Services AWS SageMaker / Bedrock Google Vertex AI OCI AI Services Build and maintain CI/CD pipelines for AI application delivery Utilize: Docker Kubernetes Ansible GitHub Actions Azure DevOps Jenkins Implement MLOps best practices using: MLflow Kubeflow Airflow Weights & Biases Required Qualifications 8+ years of software engineering experience 8+ years of experience with: Cloud platforms (AWS, Azure, GCP, OCI) CI/CD pipelines Docker and Kubernetes SQL and NoSQL databases Bash and PowerShell scripting 3+ years of production experience with: Python AI/ML model development and deployment NLP and Large Language Models (LLMs) Computer Vision Time Series Modeling Recommender Systems MLOps platforms Distributed model training Experience deploying machine learning solutions serving real users in production environments Preferred Qualifications Experience with: GIS and geospatial data analysis Transportation, logistics, or smart city technologies Infrastructure asset management systems Digital twin technologies Unreal Engine Google Maps APIs Cesium Polygonflow Dash Experience working in government or highly regulated environments Understanding of public sector security, compliance, and governance requirements Technical Environment Python Azure AI AWS SageMaker AWS Bedrock Google Vertex AI OCI AI Services Hugging Face Ollama PyTorch TensorFlow OpenCV YOLO Kubernetes Docker MLflow Kubeflow Airflow PostgreSQL MySQL Vector Databases GitHub Actions Azure DevOps Jenkins Work Environment Hybrid schedule Minimum 4 days onsite in Austin, TX Standard business hours with occasional evening or weekend support as needed Opportunity to work on innovative AI initiatives impacting statewide transportation operations Ideal Candidate Strong software engineer with deep AI/ML expertise Passionate about turning prototypes into scalable enterprise solutions Experienced building production AI systems, not just research models Comfortable collaborating with engineers, architects, and business stakeholders Excited about applying AI to solve real-world infrastructure and transportation challenges

This Jobot Job is hosted by: Holly Leahy Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $200,000 per year A bit about us: We are seeking a dedicated and detail-oriented Quality Technician to join our team. As a Quality Technician, you will play a critical role in ensuring the highest standards of quality in the manufacturing and assembly of cutting-edge electronics and components. This position will require you to collaborate closely with various teams to drive improvements and ensure products meet strict specifications and functional requirements. Why join us? premiere medical, dental, vision, and life insurance plans 401k Inclusive, flexible work environment. We offer healthy snacks and daily catered meals, in addition to family-friendly company events featuring our CEO’s famous BBQ! Job Details About the Role Join a world-class team building the next generation of high-performance compute hardware for artificial intelligence and machine learning applications. We’re developing industry-leading AI accelerators that push the limits of scale, speed, and efficiency—empowering researchers and enterprises to train and deploy the largest AI models with unprecedented ease. As a Senior Design Verification Engineer, you’ll own the end-to-end verification of a critical subsystem in our next-generation AI processor. You’ll collaborate with experts across architecture, RTL design, physical design, firmware, and validation to ensure flawless execution from concept to post-silicon bring-up. This is a high-impact role where your technical insight, leadership, and creativity will directly shape the success of our products. Key Responsibilities Own and drive the full verification lifecycle for a major IP block—from initial strategy through post-silicon validation. Define and implement advanced verification methodologies, test plans, and coverage metrics that ensure top-tier quality and performance. Develop and maintain UVM-based, constrained-random and directed testbenches. Collaborate closely with architecture and design teams to review specifications and ensure functional correctness and testability. Debug complex issues spanning simulation, emulation, and silicon. Enhance verification infrastructure and flows for improved scalability, coverage, and turnaround time. Mentor and guide junior engineers, promoting best practices and technical excellence. Provide clear communication and technical leadership on progress, risks, and schedules across teams. Qualifications 10+ years of design verification experience in complex ASIC/SoC projects. Deep proficiency in SystemVerilog and UVM. Strong understanding of verification planning, coverage closure, and constrained-random methodologies. Experience with industry-standard EDA tools, simulators, and debugging environments. Skilled in scripting languages (Python, Perl, or similar) for automation and productivity. Demonstrated success in cross-functional collaboration and problem-solving. Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field. Preferred Experience Verification of memory controllers, high-performance interconnects, or compute subsystems. Exposure to emulation, FPGA prototyping, or post-silicon bring-up. Contributions to developing scalable, reusable verification environments and methodologies. Proven ability to influence verification strategy and mentor others in advanced techniques. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Introduction to the role & team At Bumble, we’re building a world where all relationships are healthy and equitable, and machine learning is central to how we make that real for millions of people every day. As part of our Machine Learning team, you’ll help shape intelligent systems that power meaningful connections, safer interactions, and more personalised experiences across our platform. As a Senior Machine Learning Engineer, you’ll own impactful problems end-to-end—from data exploration through to production deployment, while collaborating closely with Product, Engineering, and Data partners. You’ll bring curiosity into how we experiment, iterate, and improve, and you’ll role model our values of Curiosity and Excellence by continuously raising the bar in how we build and apply AI. AI is deeply embedded in how we evolve at Bumble. In this role, you’ll independently apply modern machine learning and emerging AI techniques, contributing to scalable systems while ensuring thoughtful, responsible use of AI in everything we ship. Build and deploy machine learning models that improve recommendations, ranking, and personalization, driving measurable impact on user experience and engagement Own problems end-to-end, from data exploration and feature engineering through to model training, evaluation, and production deployment Develop and maintain scalable ML pipelines using tools such as Spark and Airflow to support reliable, high-quality model delivery Apply modern ML frameworks (e.g. PyTorch or TensorFlow) to design, train, and optimise models in production environments Contribute to experimentation frameworks, including A/B testing and offline evaluation, to iterate on model performance with an agile mindset Collaborate cross-functionally with Product and Engineering, working with purpose to translate product questions into ML solutions Take ownership of delivering high-quality solutions and see work through from insight to impact, balancing speed and rigor Apply responsible AI practices, ensuring fairness, transparency, and safety are considered in model development and deployment Typically requires 5–8 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills. Strong experience building and deploying machine learning models in production environments Proficiency in Python and experience with at least one major ML framework (e.g. PyTorch, TensorFlow) Experience working with data pipelines and distributed systems (e.g. Spark, Airflow) to support ML workflows Familiarity with experimentation methodologies such as A/B testing and model evaluation techniques Ability to collaborate effectively across functions, demonstrating strong ownership and a collaborative mindset Demonstrates an agile mindset, adapting approaches based on data and evolving priorities while maintaining focus on outcomes Growing AI fluency, with the ability to independently apply ML techniques and emerging tools (including LLMs) to solve problems responsibly $220,000 - $250,000 a yearFor base compensation, we set standard ranges for all roles based on function, level, and geographic location. This position is also typically eligible to participate in our short- and long-term incentive programs. Benefits include Medical, Dental, Vision, 401(k) match, Unlimited Paid Time Off Policy. Maven Fertility: $10,000 lifetime benefit for fertility, adoption, abortion care, and more. 26 Weeks Parental Leave: For both primary and secondary caregivers. Family & Compassionate Leave: Inclusive of domestic violence recovery. Unlimited Paid Time Off: Take the time you need. Company-wide Week Off: Annual collective rest for the entire company. Focus Fridays: No meetings, emails, or deadlines—just deep work.About UsBumble Inc. is the parent company of Bumble Date, BFF, and Badoo. The Bumble platform enables people to build healthy and equitable relationships, through Kind Connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date) and friendship (BFF). BFF is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections and community based on shared interests. Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products. AI FluencyAI is important to us. We’re excited by people who are curious and experimental, and who think thoughtfully about how AI can amplify their impact and outcomes.We encourage you to use AI responsibly as you prepare your application. Please don’t use it to fabricate experiences or answer questions live in interviews. We care deeply about authenticity and want to understand your real skills, judgment and voice, because building a meaningful, genuine connection with you matters to us. Inclusion at Bumble Inc. Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc). AI in Bumble Inc. Hiring At Bumble, we may use AI tools to support parts of our recruitment process — such as helping us record, transcribe, and summarize conversations, and supporting job alignment by comparing resumes and job descriptions to highlight skills and potential roles that may be a good match. These tools help us work more efficiently and stay focused on you during our conversations. Importantly, all hiring decisions are made by people. AI is used only to support our team’s efficiency and improve the candidate experience — not to evaluate or decide on your candidacy. Participation in AI-supported interviews and conversations is completely voluntary and will not impact your candidacy. If you’d prefer to opt out, simply let your recruiter or interviewer know at the start of a call, or anytime during the interview or conversation. Summaries and related data are retained only as long as needed in line with our internal data retention policies. If at any point you’d like a transcription or summary deleted, please contact your recruiter directly.For further information on how we hold and manage your data, please refer to our_.

Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs - Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services - Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS: Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - Experience developing software code in one or more programming languages (java, python, etc.) - Bachelor's degree in computer science or equivalent - 3+ years of cloud architecture and solution implementation experience - 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences) Preferred Qualifications - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 - Experience scripting for automation (e.g., Python, Perl, Ruby) - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - Master's degree in computer science, computer engineering, or related field, or PhD - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Mountain View - 151,000.00 - 204,300.00 USD annually USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually USA, NJ, Jersey City - 144,500.00 - 195,400.00 USD annually USA, NY, New York - 144,500.00 - 195,400.00 USD annually USA, TX, Austin - 131,300.00 - 177,600.00 USD annually USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually

Description Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities Key job responsibilities As an experienced technology professional, you will be responsible for: 1. Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring 2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads 3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable 4. Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models 5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures 6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts 7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies This is a customer-facing role with potential travel to customer sites as needed. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - Experience with AI/ML technologies - 3+ years of building machine learning and generative AI models for business application experience - 3+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience - Experience with cloud services related to machine learning (e.g., Amazon SageMaker) and generative AI applications - 3+ years of coding, data querying languages (e.g. SQL), and scripting languages (e.g. Python) Preferred Qualifications - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of AWS services including SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch and AWS certifications - 2+ years of experience with design, deployment, and evaluation of AI agents and orchestration approaches; experience with open source frameworks like LangChain, LangGraph, LlamaIndex, and/ or similar tools - 3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience using PyTorch or TensorFlow - Experience building ML pipelines with MLOps best practices, including: data preprocessing, distributed & GPU training, model deployment, monitoring, and retraining; experience with container and CI/CD pipelines - Domain expertise in healthcare and life sciences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually USA, IL, Chicago - 131,300.00 - 177,600.00 USD annually USA, NJ, Jersey City - 144,500.00 - 195,400.00 USD annually USA, NY, New York - 144,500.00 - 195,400.00 USD annually USA, TX, Austin - 131,300.00 - 177,600.00 USD annually USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually USA, TX, Houston - 131,300.00 - 177,600.00 USD annually USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to _. Job Title: Software Engineer Salary: $140K – $210K + Equity Company Description: Ambrook - Series A fintech building financial infrastructure for American agriculture Job Description: Join a mission-driven team rebuilding the financial backbone for farmers and ranchers. You will own full-stack features across a TypeScript, React, and React Native stack, replacing legacy paperwork with modern accounting and banking tools. This role offers the unique opportunity to shape product direction while solving complex technical challenges at the intersection of climate, industry, and the economy. Location: Remote, USA Why this role is remarkable: High-impact mission helping family-run businesses become more resilient against climate change and market volatility while working with an AI-forward engineering culture. Strong financial backing with $29M raised to date from top-tier investors including Thrive Capital, Homebrew, and Dylan Field (CEO of Figma). Radical pay transparency and equity—Ambrook sets salary by level and location to ensure two people in the same role are always paid the same. What you will do: Own the end-to-end delivery of elegant, performant product experiences and server infrastructure using Next.js, React, and React Native. Join customer discovery calls to develop a deep intuition for the real-world financial challenges faced by agricultural producers and independent operators. Influence technical architecture and development velocity by experimenting with the latest AI dev tooling and improving CI/CD processes. The ideal candidate: Proven experience shipping production-grade web applications using TypeScript and React, with a strong product-minded approach to problem-solving. Comfortable navigating ambiguous environments and taking ownership of full-stack features from initial design through to deployment and maintenance. Passionate about building software for the real economy, ideally with experience in fintech, B2B SaaS, or a high-growth startup environment. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit _. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. We’re looking for AI Trainer – Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation) Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review) Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth General AI Training Model Evaluation and Evals Trust and Safety Red Teaming Quality Analytics Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation) Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. _ _ By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's _ explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

If you’re fluent in natural language processing, you may be the hyper-talented Machine Learning Engineer that’s going to help Entefy rewrite the code of human communication. We are looking for a talented and driven NLP specialist to join a high-impact team at the core of Entefy’s mission. You will use deep learning and other methods to work on confidential projects that will impact Entefy’s suite of products. This is highly challenging work that will engage your deep understanding of algorithms to build never-before-seen machine intelligence. \n Requirements: • Solid fundamentals in mathematics, statistics, and machine learning theory, • Minimum 3 years of commercial experience (or equivalent) in natural language processing, understanding, or generation, • Demonstrable proficiency in at least one programming language such as Python, C, C++, Java, etc., • Proficient knowledge of and experience with text analytics, knowledge base construction, machine translation, or dialog systems, • Proficiency in natural language processing tools such as NLTK, CoreNLP, Gensim, spaCy, OpenNLP, UIMA, GATE, etc., • Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc., • English fluency, • Excellent written and verbal communication skills Other qualifications: • Experience with modern deep learning techniques in NLP including sequence to sequence models, distributed representations, pointer networks, attentional models, etc., • Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics, • Experience with text-based information retrieval technologies such as Lucene, Solr, Elasticsearch, etc., • Experience with big data and distributed computing technologies such as Hadoop, MapReduce, Spark, Storm, etc., • Fluency in multiple languages is a plus, • Demonstrable proficiency in more than one applicable programming languages is a plus \n Visit and

We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role We’re hiring a Staff AI Engineer to lead some of Rula’s most important applied AI investments as we scale. You’ll own technical direction for high-impact AI products, work across teams to turn big ideas into shipped systems, and help raise the bar for how we build, evaluate, and operate AI in production. This role sits at the center of product innovation and engineering execution, with the chance to influence both what we build and how we build it. It’s a strong fit for someone who loves operating in fast-moving environments, wants to drive outsized impact, and is excited to help define the future of AI at Rula. Required Qualifications 8+ years of AI/ML development (AI solution design, model design, training / finetuning, deployment and quality upkeep), with track record of product success (i.e. not just in an academic or research environment) 5+ years of deep experience in Python and 2+ years with at least one backend language (preferably JavaScript, TypeScript, Java, or Go) Hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.) Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability. Strong expertise in LLM integration patterns (RAG, tool/function calling, agents, memory routing, etc.), AI orchestration frameworks (eg. LangChain, LlamaIndex, DSPy, Haystack), and vector databases (eg. Pinecone, Weaviate, FAISS, Milvus). Deep understanding of AIOps, data pipelines, evaluation, and observability systems for continuous model improvement. Strong and effective communication skills. Bachelor’s degree or above in Machine Learning, or related field. Preferred Qualifications 5+ years of experience with public cloud (AWS, GCP, etc.), 2+ years designing and scaling distributed systems. Experience delivering secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.) Familiarity with human-in-the-loop systems and clinical decision support frameworks. Contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety. Experience working in a highly regulated industry such as finance or healthcare Experience contributing to early-stage team growth (0 → 1) We're serious about your well-being! As part of our team, full-time employees receive: 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA 401(k) plan access: Start saving for your future Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering Employee Assistance Program (EAP): Support for your mental and physical health New hire home office stipend: Set up your workspace for success Quarterly department stipend: Fund team-building activities or in-person gatherings Wellness events and lunch & learns: Explore a variety of engaging topics Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all Our team We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.

PeopleFun is an award-winning creator of mobile games for players across the globe. PeopleFun is a Dallas-based game studio founded and led by game industry veterans, where game developers thrive on collaboration, creativity, teamwork, and fun. Our games are played by over 25 million players each month, and we have a number of exciting mobile games in development to fuel the future growth of PeopleFun. We believe in bringing People together through Fun by creating the best in class social features and communities in our games that enables our players to engage deeply with other players. Secondly we endeavor to bring our studio teammates together by creating the very best game teams that foster healthy collaboration, incredible productivity, and life-long professional relationships. Candidates who reside or will reside in the following locations are eligible for this role: California, Colorado, Florida, Georgia, Illinois, Maryland, Massachusetts, Minnesota, Nevada, New Hampshire, New Jersey, Oregon, Rhode Island, Texas, and Washington State. Job SummaryPeopleFun is actively seeking a highly skilled and innovative Principal Engineer to lead the development of our pioneering dynamic difficulty system, WordAlgo. This critical role involves optimizing the player experience by dynamically adjusting game difficulty in real-time, leveraging initial rule-based algorithms, and subsequently integrating advanced Machine Learning and Large Language Models. The impact of this work will extend across multiple mobile word puzzle games within our portfolio, significantly enhancing player engagement and retention. Reporting to a General Manager with a strong engineering background, the successful candidate will operate within a collaborative, agile team comprising a data scientist and a data engineer. This environment emphasizes iterative development, A/B testing, and continuous evaluation of innovative solutions. We are looking for a professional with a proven track record in challenging technical domains, a proactive approach to problem-solving, and a passion for creating highly engaging mobile game experiences. This position offers a unique opportunity to contribute to a transformative initiative within a fast-paced and forward-thinking organization. • Design, develop, and implement the core Word Algorithm (WordAlgo) system, initially focusing on rule-based logic and evolving into ML and LLM-driven solutions using unit tests, • Create tools to convert and generate optimized data for use in mobile games., • Collaborate closely with data engineers and data scientists to integrate data pipelines and leverage player data for difficulty detection and adjustment., • Work hand-in-hand with game development teams to seamlessly integrate WordAlgo into existing and new mobile games, ensuring a clean and well-documented API for game logic to consume., • Design and document technical specifications for WordAlgo components, including algorithm logic, data flow, and API contracts., • Participate actively in an Agile development environment, contributing to iterative design, implementation, and testing cycles., • Continuously monitor and analyze game performance data to identify opportunities for algorithm optimization and player experience improvement., • Articulate technical concepts, challenges, and solutions clearly and concisely to both technical and non-technical stakeholders through verbal and written communication., • Champion PeopleFun's culture of trust, humility, and team-focused results in all aspects of work., • 7+ years of experience in mobile game development, with a strong understanding of game architecture and systems., • Demonstrated experience successfully launching and operating at least one commercial mobile game title., • Expert-level proficiency with Unity game engine, including a deep understanding of its architecture, scripting (C#), and best practices., • Proven ability to design and implement robust, scalable, and well-documented APIs., • Excellent verbal and written communication skills, with the ability to articulate complex technical ideas and engage in productive discussions., • Experience writing comprehensive technical design documents., • Familiarity with Agile development methodologies and a track record of delivering iteratively., • Experience with or a strong understanding of Machine Learning concepts and applications., • Familiarity with Unity Sentis or similar on-device ML inference engines., • Experience working with large datasets and data-driven systems., • Knowledge of Natural Language Processing (NLP) or Large Language Models (LLMs).PeopleFun provides a competitive total compensation package with a pay-for-performance rewards approach. The expected base pay range for this [CA-based or North America-based] position is $120,000–$206,250. Compensation is based on factors including market location and individual qualifications. Depending on the position offered, equity, sign-on bonuses, and other compensation may be included as part of the total package. BenefitsMedical/Dental/Vision Insurance Performance Bonuses401K Match Policy Flexible PTO PolicyWellness Stipend Free Lunch each FridayGenerous Parental Leave & Family-Friendly CultureAnnual Credits for Professional Development & In-App Purchases PeopleFun is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant _.

Vogelsang USA, LTD is a globally recognized leader in positive displacement pumps, in-line grinders, and advanced fluid handling solutions. Our products serve a variety of industries, including industrial, municipal, agricultural, and wastewater treatment applications. With a strong commitment to innovation, quality, and customer satisfaction, we provide cutting-edge pumping and grinding technology designed for high performance and reliability. As we continue to grow, we are investing in the next generation of our sales organization. We are seeking a Territory Sales Engineer who will serve as the face of Vogelsang in an assigned region, building distributor partnerships, engaging end-users, and developing into a full Regional Sales Manager over time. The ideal candidate bridges the gap between engineering and commercial aptitude: someone who can earn the respect of industrial distributors and end-users through technical confidence, while demonstrating the coachability and drive to grow into a seasoned sales leader. In this role, you will manage an assigned territory through industrial distributors and direct end-user engagement, applying technical knowledge to recommend pump and process equipment solutions across a range of industrial and municipal applications. Key Responsibilities: • Manage and grow an assigned territory through distributor relationships and direct end-user engagement., • Learn and execute channel-selling strategies, building productive partnerships with industrial distributors., • Apply technical knowledge to understand customer applications and propose appropriate pump and process equipment solutions., • Maintain a disciplined CRM practice using Salesforce as the primary tool for pipeline management, activity tracking, and forecasting., • Participate in training programs and product education to build deep expertise in our pump and process equipment portfolio., • Support key account management under the guidance of senior sales leadership., • Develop market presence across target sectors including biogas, water/wastewater, chemical processing, food waste, agriculture, and industrial manufacturing., • Provide technical presentations and product demonstrations to distributors and customers., • Report on territory activity, market intelligence, and pipeline progress in coordination with management What we are looking for: • Customer-facing confidence: the ability to engage credibly with industrial distributors and end-users from day one., • Coachability and learning agility: the willingness and capacity to develop new skills and adapt quickly in dynamic sales situations., • Commercial curiosity and sales drive: an emerging interest in consultative, value-based selling rather than transactional or commodity-focused approaches., • Distributor channel awareness: the ability to learn how to effectively sell through and partner with industrial distribution networks., • Willingness to travel: this is an outside sales role requiring extensive travel within an assigned territory., • CRM fluency: demonstrated experience with Salesforce or a clear ability and willingness to adopt CRM as a core daily work discipline. Required Qualifications: • Bachelor’s degree in Mechanical, Chemical, Process, or related Engineering discipline preferred., • Demonstrated ability to understand and communicate technical product offerings to both technical and non-technical audiences., • Proficiency with Microsoft Office suite; CRM experience (Salesforce preferred) strongly advantageous. Preferred: • Experience in industrial equipment sales or applications: valves, compressors, pumps, automation, HVAC, water/wastewater, or environmental systems., • Background in field service or commissioning with strong customer interaction experience., • Familiarity with distributor or channel selling models in industrial markets., • Experience in target market sectors: biogas, agriculture, waste management, chemical processing, food and beverage, wastewater treatment, or petrochemicals., • Prior experience transitioning from a technical or engineering role into a customer-facing sales position., • Competitive salary based on experience and qualifications., • Comprehensive benefits package including medical, dental, vision, 401(k), and paid time off., • Extensive onboarding and product training program to set you up for success., • A clear developmental pathway from Territory Sales Engineer to Regional Sales Manager., • The opportunity to represent a global leader in advanced pumping and fluid handling solutions., • A collaborative, team-oriented culture with room for professional growth and long-term career development.

At Shadow, we’re building the end-to-end data platform for crypto. Blockchain networks are the next evolution of the Internet, yet it’s much too difficult to work with onchain data today. We’re taking a crypto-native approach to reimagine blockchain data infrastructure from the ground up, starting with a product that allows anyone to extract custom data from any smart contract. We've raised $9M in seed funding led by Paradigm, with additional angels from Coinbase Ventures, Electric Capital, Ethereum Foundation, Uniswap, and Flashbots. We're a small team who primarily works out of a beautiful office space in NYC. We’re hiring a founding EVM engineer to join our world-class team. In this role you'll be working closely with the CTO to develop, maintain, and improve the node and supporting infrastructure we run at Shadow. You should have a deep understanding of the EVM and have experience hacking on the EVM itself or auxiliary tools like debuggers and tracers. We're looking for an experienced IC who wants to: Build highly performant and reliable node infrastructure. With some other bells and whistles that create magic for our customers. Expand EVM chain support. You’re already familiar or are excited to dive deep into the nuances of L2s and other EVM chains, and extend our infrastructure across them. Hack on the EVM. You love the EVM for what it is, but have ideas on how to improve it. Backend infrastructure built in Rust Kubernetes on GCP Kafka, BigTable, Postgres, Snowflake/BigQuery Typescript and Next.js Solidity and Vyper You're an ambitious senior or staff-level IC that has experience working on EVM node infrastructure and/or tools in a production environment. Strong opinions on what best-in-class tooling looks like for developers on EVM chains. Curious and quick learning. We don't expect you to have experience in every technology we use, but to learn and be productive quickly. Owning several services and jumping into all of them doesn't scare you. We value people who can quickly obtain a deep technical understanding of new domains. Pragmatic attention to detail. You hold your work to a high standard. You strive for few slips in code, clean Git hygiene, and clear written communication — all while remaining low-ego and solution oriented. Good heart. We are a group of friendly ambitious nerds who are effortlessly kind to one another, and we don't tolerate jerks. Team — we have a high bar; you'll be on a small team of extremely talented individuals. Impact — work on stuff that actually matters and will grow crypto as a whole. Ownership — you will have an extreme level of autonomy over your work. _ (Co-Founder and CTO) — Previously Paradigm EIR, and Staff Engineer → Engineering Manager at Airbnb, where she built the realtime indexer for user profiling used sitewide and managed a team of 15 engineers. Has been highly active onchain since DeFi summer 2020. _ (Co-Founder and CEO) — Previously Paradigm EIR, and Designer → Staff Product Manager at Airbnb, where he was the first PM on Airbnb Plus and helped take it from a whiteboard idea to a $100M/yr business in 2.5 years. Has been highly active onchain since DeFi Summer 2020. Emily and Alvin are siblings and have worked together for the past 8 years! Highly competitive salary and equity — we target 90th percentile compensation for both salary and equity. You’ll be expected to act like an owner, because you are one. Great healthcare — gold-tier company healthcare plans. We cover 99% of medical, dental, vision premiums for employees, and 50% for dependents. 401k — flexible 401k retirement plan with contribution matching. Hardware setup — we’ll buy whatever you need to be productive.

You’re an engineer who is excited to work on cutting-edge software products and solutions using state-of-the-art computer vision and deep learning. You have a solid foundation in areas like detection, classification, segmentation, or tracking—whether through previous roles, internships, or research—and you’re eager to apply those skills in an impactful, production-focused environment. You’re curious, motivated, and ready to learn from experienced teammates. You enjoy solving challenging technical problems, asking thoughtful questions, and collaborating with others to build high-quality software. You’re excited about contributing to the perception stack for self-driving vehicles and learning what it means to build technology for safety-critical, open-world applications. What you’ll be doing: • Contribute to the design, development, and improvement of perception components that support downstream modules within the autonomy system., • Help analyze perception system performance to identify areas for improvement and participate in efforts to address them., • Work with teammates to explore creative approaches to “long-tail” challenges—for example, experimenting with synthetic data, data mining techniques, or new model architectures., • Depending on your background and interests, you may also help optimize and deploy models to the vehicle, ensuring they operate within the constraints of our onboard hardware and meet our functional requirements and interface specifications., • Interface with systems and safety engineers, test engineers, and data analysts to ensure appropriate requirements, test coverage, and performance metrics What We’re Looking for: • Master's or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field; or equivalent industry experience, • Solid understanding of fundamental deep learning concepts and computer vision techniques, • Experience building, training, or evaluating neural networks, • Proficiency in Python and familiarity with libraries like PyTorch or similar, • Exposure to software engineering fundamentals—version control, code reviews, testing, and collaborative development, • Clear communication skills and willingness to ask questions, share ideas, and work with others Bonus Points: • Previous experience with sensor fusion and/or previous exposure to the AV industry, • Experience shipping a “real” product and balancing ongoing support with next-generation innovation, • Exposure to safety-critical products or components, • Publications in relevant conferences (CVPR, ICML, NeurIPS, etc.), • Strong programming skills in C++ and/or CUDA programming, • Experience with TensorRT and model quantization The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$136,500—$225,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on , , and _. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping! About the Role: We are seeking a talented and motivated Principal Machine Learning Engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms. Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow. Responsibilities: • Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment., • Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively., • Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime., • Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases., • Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution., • Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency., • Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration., • Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge., • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience., • At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment., • Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields., • Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions., • Proficiency with Python is required, and experience with Golang is a plus., • Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently., • Experience working with relational databases, data warehouses, and using SQL to explore them., • Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner., • Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models., • Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations., • Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams. About You: • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed., • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things, • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking., • You earn trust - you listen attentively, speak candidly, and treat others respectfully. What Makes Working at Sezzle Awesome: At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. #Li-Remote

_ is looking to hire exceptional talent to join our teams in building the open source security infrastructure stack for the AI era. We're building a generational company with a world-class team. This isn’t a place to coast — but if you want to grow fast, take ownership, and solve tough problems, you’ll be challenged like nowhere else. What We’re Looking For We’re looking for an exceptional Web Engineer to own _ and show the world what we're about. As the first project in this role, you'll work with design and marketing to overhaul the landing page into something timeless, iconic, and elegant to drive organic traffic and user adoption. This role is for someone who has a frontend-leaning full stack engineering background, who obsesses over creating pixel-perfect experiences, and who is motivated to help build out our growth engine. You'll work closely with our co-founder, design, and marketing to: Translate design mockups into pixel-perfect, reusable components. Build and maintain core website pages (home, product, blogs, learning/resource hub etc.), frontend architecture, code quality, CMS integration and experience. Implement SEO best practices. Integrate analytics, attribution, and marketing tooling - Google Analytics, Google Tag Manager, HubSpot, etc. Requirements Deep mastery of JavaScript, React.js, Node.js, TypeScript, and frameworks like React/Next.js. Experience building high-quality frontend systems and components with strong attention to performance, accessibility, and maintainability. Exceptional attention to detail and eagerness to learn. Bias toward action: able to make decisions, iterate quickly, and take calculated risks. Based in the Americas (SF preferred) or able to work EST hours. Bonus Technical SEO fundamentals. Experience with CMS platforms (e.g. Contentful, Sanity, etc.). Experience configuring website analytics/marketing platform integrations such as with Google Analytics and HubSpot. Experience with developer-facing products or startups. How You’ll Grow You’ll own one of the most important surfaces of the company: how developers discover Infisical. Early work will include a website redesign alongside our founding designer. You’ll shape architecture, improve performance, enable marketing initiatives, and expand the role as the company grows. Overall, you'll have the opportunity to take full ownership of _ and be one of the defining pieces of our team. Team, Values & Benefits Our team brings experience from companies like Figma, AWS, and Red Hat. We operate primarily as a remote team but maintain a strong presence in San Francisco, where we have an office. We also get together in person throughout the year for off-sites, conferences, and team gatherings. At Infisical, we offer competitive compensation, including both salary and equity options. Additional benefits, such as a lunch stipend and a work setup budget, are available. Infisical is the open source security infrastructure platform that engineers use for secrets management, internal PKI, key management, and SSH workflow orchestration. We help developers and organizations securely manage over 1.5 billion secrets each month including application configuration, database credentials, certificates, and more. We’ve raised $19M from Y Combinator, Google, and Elad Gil, and our customers include Hugging Face, Lucid, and LG. Join us on a mission to make security easier for all developers — starting with secrets management.

Summary We are looking for a hands-on Senior Data Engineer with experience building scalable ETL and data platforms in modern cloud environments. In this role, you will help design and implement the next generation of our data pipelines, enabling our platform to process and analyze growing volumes of ticketing, market, and consumer data. Our existing pipelines contain significant domain expertise and business logic that power our analytics platform. You will work to translate and evolve this logic into a scalable, maintainable architecture using modern engineering practices. This is a high-impact role with significant ownership over how data moves through our platform and supports the machine learning systems that drive our products. Job Function • Design and implement the next generation of our core data pipelines, • Translate existing pipeline logic into a clean, maintainable architecture, • Develop data pipelines in Python using modern best practices, • Improve pipeline observability, logging, and failure recovery, • Work with AWS services such as S3, Lambda, ECS, RDS, and/or Redshift, • Design and implement data validation, monitoring, and alerting, • Collaborate closely with leadership to define the future data architecture, • Document pipeline design and operational workflows Our Tech Stack • Python, • Apache Airflow, • AWS (S3, ECS, Lambda, RDS, Redshift), • Docker, • PostgreSQL What Success Looks Like • By the end of the engagement, you will have helped us:, • Deliver the next generation of our core ETL pipelines with a scalable and maintainable architecture, • Implement robust data validation, monitoring and observability across the data platform, • Enhance pipeline reliability, performance and operational visibility Required Experience • 7+ years of software or data engineering experience, • Proven experience designing and building ETL/data pipelines from scratch, • Strong expertise with Python for data engineering, • Deep familiarity with AWS data infrastructure, • Experience building production-grade pipelines with logging, monitoring, and error handling Nice to Have • Experience evolving existing data pipelines into scalable, production-grade data platforms, • Experience designing data quality / validation frameworks, • Familiarity with data observability and SLAs, • Experience with analytics or sports data, • Experience working in startup or small team environments Why This Role Is Interesting • High ownership and architectural influence, • Work directly with engineering leadership, • Small team with fast decision making, • Potential to convert to a full-time leadership role

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. You deploy Deepgram’s voice AI platform into complex restaurant environments and make it work in the real world. This role sits at the intersection of engineering, product, and customer systems, partnering closely with customer leadership and technical stakeholders to bring ambitious deployments to life. You embed with enterprise restaurant brands and restaurant technology partners, learn their systems deeply, and integrate our platform into the core of their operations. Along the way you write code, debug production issues, and adapt the platform to real world constraints. You operate as a trusted technical partner to both customer leadership and engineering teams, ensuring deployments move quickly and deliver meaningful business outcomes. You turn real world deployments into leverage for the entire platform by identifying patterns across customers, shaping product improvements, and building the tooling, reference architectures, and playbooks that make each new deployment faster, more reliable, and easier to scale across large restaurant fleets and technology ecosystems. The mission of this role is to ensure every enterprise deployment of Deepgram for Restaurants works like magic — technically flawless and delivering measurable value from day one. This role is based in New York City, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is based in New York City, this would still be a remote-first opportunity, as we do not have an office local to the area. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers. Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization. Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between. Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary. Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers. Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building. You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it. You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product. You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration. Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output. Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof. High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones. Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable. Experience with voice AI, speech-to-text, NLP, or conversational AI systems. Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero. Previous experience embedded within a large enterprise customer’s product deployment. Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Unlimited PTO Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs Learning / Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is a hybrid role (3 days in office / 2 days remote). About Your Team: Shape the Future of Market Integrity at Interactive Brokers. Interactive Brokers (IBKR) seeks a Quantitative Software Engineer to join our elite transaction surveillance team. You will leverage your quantitative skills and experience in financial markets to develop sophisticated detection systems that identify market manipulation, fraud, and money laundering attempts before they impact market integrity. Your work will directly influence how one of the world's largest electronic brokers protects the financial ecosystem. What will be your responsibilities within IBKR: • Architect next-generation surveillance models to detect emerging manipulation patterns across global markets, • Partner with compliance leadership to ensure surveillance systems meet and exceed regulatory expectations, • Translate your experience into algorithms that identify suspicious trading and cashiering activity with high accuracy, • Conduct sophisticated data analysis on massive financial datasets (hundreds of millions of daily orders, millions of daily trades), • Evaluate model performance to optimize detection accuracy while minimizing false positives, • Document methodologies to withstand regulatory scrutiny and examination. Which skills are required: Attention Candidates: If your experience is exclusively in bank risk departments building, VAR models or similar frameworks, please note this role involves fundamentally different expertise in surveillance technology and compliance systems. • Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field, • Strong programming proficiency in Python, • Professional experience: 5+ years (3+ for Master's, 1+ for PhD) hands-on experience in market surveillance, • Domain expertise in at least one of:, • Large-scale financial data analysis (orders, trades, market data), • Market manipulation detection methodologies (spoofing/layering, insider trading, money laundering, fraud, etc.), • Regulatory-driven feature engineering, • Communication excellence in explaining complex surveillance concepts to diverse stakeholders. Good to haves: • Regulatory background at the SEC, FINRA, or major securities exchanges, • Advanced degree in a quantitative discipline, • Mastery of Python data science tools (pandas, scikit-learn, xgboost, catboost), • Deep understanding of market microstructure and trading strategies, • Specialized knowledge in AML and market manipulation typologies To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills., • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits, and a company-paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance is provided, and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events, including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. We are looking for an experienced Senior Frontend Platform Engineer to join a small but fast-growing Frontend Engineering team responsible for building the visualization and rendering systems that power TRM’s investigative platform. TRM’s product surfaces complex blockchain activity through interactive graph exploration, entity networks, and data-dense investigative interfaces. In this role, you will help build the core frontend platform and visualization infrastructure that allows analysts to explore large relational datasets and uncover illicit activity at scale. As an early member of the team, you will work on high-performance rendering systems, graph visualization, and reusable frontend infrastructure that powers TRM’s investigative workflows. The impact you’ll have here: Design and build the visualization platform that powers TRM’s investigative interfaces, including graph exploration and large-scale data visualization. Develop high-performance rendering systems using technologies such as Canvas, WebGL, and GPU-accelerated rendering to visualize complex datasets. Build reusable visualization libraries, SDKs, and platform primitives that enable teams across TRM to build powerful data exploration experiences. Participate in technical design discussions and code reviews to improve architecture, performance, and maintainability. Develop a deep understanding of crypto and blockchain investigation workflows to inform product design and platform capabilities. Help define the next generation of data exploration tools used by investigators and financial institutions worldwide. What we’re looking for: Strong JavaScript and TypeScript fundamentals with experience building large-scale frontend systems. Experience building data-dense web applications, such as analytics platforms, visualization tools, or mapping systems. Hands-on experience with Canvas, WebGL, or GPU-accelerated rendering. Experience working with data visualization libraries such as D3, PixiJS, Three.js, or similar tools. Experience building or working with graph / network visualization systems, using tools like D3-force, Cytoscape.js, vis.js, Sigma.js, or similar. Familiarity with graph layouts such as force-directed, hierarchical, or radial layouts. Experience optimizing performance in complex UIs using techniques such as: virtualization, viewport culling Web Workers, and large-dataset rendering optimization Experience designing reusable frontend systems, SDKs, component libraries, or developer platforms. Strong computer science fundamentals including data structures and algorithmic thinking. Experience with React and modern frontend frameworks. About the Team: The team operates on a weekly sprint schedule. Individuals on the team are tasked to lead projects as technical anchors, and given a chance to grow and take ownership according to their level and goals. We work closely with product, design, and with our engineering partners in data platform teams to deliver impactful features to customers and the company. The team’s timezone is a mix of EST and PST, with at least 6 hours of overlap with PST (8 am to 2 pm PST). On Call: We have an on-call rotation that is approximately one week every 16 weeks. Frontend usually doesn't get pager duty alerts but gets frontend issues from customer support channels and the on-call is responsible for triaging if it is a frontend bug or sometimes really a backend issue. It gets busy during some on-call weeks but has not been wake-up from sleep type of alerts. Learn about TRM Speed in this position: Ruthless Prioritization & Adaptability: We adapt quickly when faced with new information. For example, an engineer may message the PM or EM to prioritize Task A vs. Task B in the middle of the sprint – we don’t let inertia guide our decisions. Instead we focus on ruthless prioritization and pivot quickly as needed. Challenging Timelines (Execution Pressure): An engineer questions a teammate’s proposed 3-week timeline, and constructively argues for condensing it to 2 weeks—backed by rationale, tradeoffs, and a plan to reduce scope or increase velocity. They show ownership of delivery speed and willingness to push for urgency. Time-Boxed Spiking (Rapid Learning & Decision-Making): An engineer proposes a 1-week spike with a clear time-box and success criteria to explore implementation options or validate feasibility through a proof of concept. They demonstrate speed not just in execution, but in de-risking decisions early. The following represents the expected range of compensation for this role: Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only. The estimated base salary range for this role is $200,000 - $220,000. Additionally, this role may be eligible to participate in TRM’s equity plan. Please note – we factor in the different costs for geographies outside the United States. About TRM's Engineering Levels: Engineer: Responsible for helping to define project milestones and executing small decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing. Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing. Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor. We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: Priorities and targets to change quickly as we experiment and iterate Work that often requires operating with a high degree of ambiguity A high level of personal ownership and accountability Close collaboration across teams and functions Frequent, high-touch communication Creative problem solving and out-of-the-box thinking A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: _ AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: Accelerate repeatable workflows Structure and solve problems Improve output quality Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the _. Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this _. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this _. TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

QuoteWell is building a modern commercial insurance brokerage by combining technology with deep domain expertise. A key part of our vision is an AI assistant powered by emerging LLM techniques that helps brokers anticipate and automate tasks, making their workflows faster, smarter, and more intuitive. We’re looking for an experienced engineer who wants to shape not just our technology, but also our product direction and business outcomes. Build impactful products: Own and deliver features in our all-TypeScript stack (React + Node). Shape product direction: Partner with Product, Design, and Data to define problems, break them down into incremental solutions, and validate with users. Leverage AI in practice: Deliver innovative AI-driven agentic solutions for our insurance experts, designed for a future MCP-driven world. Model complex data: Represent insurance data and relationships in intuitive, user-friendly tools that improve decision-making. Collaborate and grow: Work in a remote-first, flexible, and accountable engineering culture while learning from teammates (and maybe a bit about insurance too). Technical depth: Strong experience with TypeScript, React, and Node (or a very similar stack), and a history of shipping production code. Product impact: A track record of influencing product and business direction through engineering insights. AI curiosity: Familiarity with or interest in applied AI/LLM techniques and how they can power real products. Collaborative skills: Ability to work across the full product lifecycle—specifying features, testing, iterating, and validating with users. Generalist mindset: Willingness to learn new technologies and adapt to what the business needs most. Flexibility to connect in person: Willingness to travel occasionally to Austin or team offsites. Location: Austin, TX or Hybrid Remote. Our primary hub is located in Austin, TX, and we have remote employees across the United States. We offer flexible co-working arrangements in locations with multiple engineers. What we offer our full-time employees Competitive salaries + equity in the company Medical, Dental, and Vision healthcare benefits + FSA and HSA options Flexible vacation policy to recharge and live life Paid membership to One Medical for employees, spouses / domestic partners, and dependents Company-sponsored 401K plan (Roth & Traditional) Paid parental leave, generous family forming benefits and up to $5,000 of reimbursements through Carrot Up to $1,000 in home office reimbursements to build a productive space to work remotely An opportunity to work on solutions that are redefining the future of commercial insurance A culture driven by a focus on impact, a shared growth mindset, empowered individuals, and integrity

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Ads Content Understanding (ACU) is Reddit’s core commercial content understanding team for Ads. The team owns and produces signals that describe what Reddit content is about, how brand safe and suitable it is, and what users are trying to accomplish in commercial conversations. ACU is responsible for: • The Knowledge Graph (entities, brands, products, and relationships across Reddit and external sources)., • Content taxonomies such as IAB, Shopify Standard Product Taxonomy, IAS, and other commercial taxonomies used for targeting, safety, and marketplace dynamics., • Opinion mining for ads use cases: sentiment, stance, commercial intent, and other qualitative attributes of conversations., • Shopping / product understanding: detecting product entities, product categories, and product attributes in organic conversations and aligning them with shopping catalogs., • Signals and tags registry: a unified, governed catalog of ACU signals that powers retrieval, ranking, safety, and insights across Ads Foundations and partner teams. We are looking for a Staff Machine Learning Engineer who will lead the Commercial Content Understanding roadmap for the Monetization org and act as the technical owner for ACU’s signals and ML systems. Roughly 50% of their time should be spent in technical leadership and mentorship (driving designs, standards, cross-team alignment), and 50% in direct hands-on work (modeling, pipelines, and debugging complex production systems). Responsibilities: • Provide technical leadership and mentorship to MLEs and SWEs doing ML work in ACU, acting as de facto tech lead for content understanding and signals: driving design reviews, setting technical standards, and uplifting the team’s modeling and systems craft., • Develop evaluation systems and quality monitoring systems for content understanding signals, using SOTA LM-judge practices., • Drive operational excellence for ACU’s ML systems by defining SLOs, alerting, and dashboards for key signals (coverage, latency, precision/recall, cost), • Build and evolve content understanding capabilities for commercial conversations (e.g., reviews vs. recommendations vs. comparisons vs. Q&A; sentiment and stance; product entities and categories) and operationalize them as robust signals that power contextual and shopping ads, auto-targeting, new formats, and insights products., • Lead design and implementation of signals pipelines and produce an ACU signals registry. Partner with platform teams and other content understanding teams to ensure efficient, reliable serving at Reddit scale., • Drive LLM and modern ML best practices within ACU: define when to prompt, finetune, or distill; design evaluation and safety harnesses; and lead at least one major distillation effort to replace external APIs with in-house models., • Operate across the full ML lifecycle (problem framing, data, modeling, evaluation, deployment, monitoring, and oncall), designing scalable, resilient MLOps pipelines and championing responsible AI (bias, safety, explainability) for ACU’s models and signals in production. Required Qualifications: • 7+ years of relevant MLE experience delivering production ML systems (models + pipelines + serving) at scale, ideally in large-scale content understanding domains, or Ads., • Demonstrated Staff-level technical leadership: has driven architecture decisions, standards, and design reviews across multiple teams, and has aligned PMs, DSs, and engineers on shared ML systems or platforms without direct people-management authority., • Excellent communication skills, with the ability to explain complex technical trade-offs to PMs, DSs, and other engineering teams, especially in ambiguous, cross-team problem spaces like Seekers/Searchers monetization., • Strong track record building and shipping NLP / Language models / content understanding models to production (e.g., classifiers, encoders, sequence or session models), with clear business outcomes (e.g., CTR/ROAS uplift, safety improvements). Experience with commercial or intent modeling is a strong plus., • Practical experience using LLMs in production for labeling, evaluation, or distillation (e.g., LM-as-judge, prompt-based classifiers, LLM-generated labels distilled into smaller models), including managing quality, cost, and latency trade-offs., • Deep experience with PyTorch, TensorFlow, or similar, and production-quality code in Python (and ideally one statically typed language like Go/Java/C++). Comfortable owning training, evaluation, and deployment code end-to-end., • Experience designing ML systems and pipelines: offline training, feature pipelines (batch/streaming), online serving, monitoring, and experimentation for high-traffic surfaces. Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 - $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: _ The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation. You will... • Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving., • Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale., • Architect and build the engineering foundations of our long-term mapping infrastructure., • Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data., • Design and develop comprehensive metrics, observability, and anomaly detection across various systems., • Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs., • Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Qualifications: • BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience., • Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures., • Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust., • Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept)., • Hands-on experience building distributed systems on modern cloud platforms. Bonus/nice to have: • A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates., • Prior experience with autonomous vehicles, HD mapping, or robotics., • Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS., • Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems., • Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka)., • Open-minded and collaborative team player with strong willingness to help others. The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

OUR COMPANY HCEsquared® is a leading healthcare solutions platform developed by healthcare specialists for healthcare specialists to elevate patient care. We serve our community of clinicians by delivering practical clinical and non-clinical content through digital and in-person connections. We provide our clinicians with solutions to serve their patients through onsite and digital educational content based on the newest and best therapies and techniques from respected thought leaders in the field of dermatology as well as services to enhance their career trajectories. Our offerings have been proven to enhance clinician confidence, demonstrated by our exceptional audience and partner retention rates for our ecosystem. For more details on our clinician offerings and continuing medical education, please visit our portfolio companies on the website. Our conferences can be viewed at WHY JOIN HCESQUARED®? At HCEsquared®, our mission is simple: elevate patient outcomes by elevating the people who deliver care. When you join us, you become part of a team that blends healthcare expertise, educational excellence, and a shared commitment to making a measurable impact. Meaningful Work Your contributions directly strengthen the skills and performance of healthcare professionals. Your work ultimately improves patient lives. Growth-Driven Culture We develop our people through coaching, stretch assignments, and opportunities to lead. Your professional growth isn’t a perk, it’s a priority. Values-Led Teamwork You’ll collaborate with high-performing colleagues who care about integrity and continuous improvement. Empowered Innovation We encourage new ideas and give you the autonomy to innovate and improve processes. Flexibility With Accountability Remote work creates the flexibility you need while maintaining the high expectations for performance, communication, and ownership. THE ESSENTIALS This role is best suited for individuals who thrive in a fast-paced, entrepreneurial environment and bring a proven track record of delivering results through strong partnership and influence. • Vision – the ability to zoom out, define what “good” looks like, and clearly communicate that direction across and beyond the organization., • Strategic problem solving – the ability to translate vision into action by breaking complex opportunities or challenges into simple, executable strategies., • Grounded Leadership – the ability to lead with confidence in direction while demonstrating humility in execution, taking ownership, seeking input, and adapting as new information emerges., • Accountability and collaboration – the ability to take ownership of outcomes while motivating others to work effectively across the organization and setting clear expectations., • Grit – the willingness and ability to overcome challenges, move beyond ideas, and consistently drive results. JOB DESCRIPTION Title: Principal Data Engineer Reporting To: Chief Digital, Technology & Data Officer (CTDO) Location: Remote (U.S.) Applicants must be legally authorized to work in the United States. HCEsquared® does not sponsor or assume sponsorship of employment visas. ROLE SUMMARY We're hiring a Principal Data Engineer to build and own the data foundation powering HCEsquared's growth. We're a PE-backed specialty healthcare education platform, currently focused on dermatology and expanding into additional medical specialties. Youwill be building towards a mature platform, one that scales with the company. You'll design and build the infrastructure that unifies our engagement platforms, CRM, conference technology, and third-party healthcare data on Snowflake (our warehouse of record) and AWS. Our analytics and data science teams — and the commercial data products we sell to pharmaceutical sponsors — depend on what you build. If you want to own infrastructure where clean pipelines translate directly into sponsor revenue, clinical personalization, and business decisions, this is the role. ACCOUNTABILITY • Critical pipelines run reliably at high uptime; analytics and data science are never blocked by engineering failures, • Core data sources flow into the warehouse with clean, tested, documented transformations, • Claims and HCP intelligence data are ready for downstream analytics and commercial measurement, • Engineering standards, data dictionary, and technical documentation stay current, • The platform scales reliably as we add new sources, products, and specialty markets, • Enable data-informed decision-making across the business RESPONSIBILITIES • Design, build, and maintain ETL and reverse-ETL pipelines connecting our MarTech and healthcare data stack — CRM, marketing automation, event management, content platforms, and third-party healthcare data — into the cloud data warehouse., • Own the cloud data warehouse and its transformation layer — staging, business logic, and mart tables — keeping data clean, documented, and performant for analytics and data science., • Integrate specialty healthcare datasets — pharmaceutical claims and HCP intelligence — with our first-party engagement data, building the joins and transformations that make them actionable for commercial measurement and clinical personalization., • Define and enforce engineering best practices — code standards, testing, documentation, schema governance, and data dictionary — so analytics and data science can move fast without breaking things., • Monitor, troubleshoot, and optimize pipeline performance, resolving data quality and availability issues before they block analytics., • Stay current with the modern data stack and introduce new tools — connectors, transformation frameworks, orchestration, or ML compute — as we scale., • Partner with analytics, data science, product, and commercial teams to turn business requirements into reliable, scalable solutions — making data accessible, never the bottleneck. REQUIREMENTS • 7+ years in data or platform engineering, with proven ownership of production data infrastructure, • Expert SQL and deep hands-on Snowflake experience (required, not preferred — it's our warehouse of record), • Strong experience with dbt or a similar SQL transformation framework — modeling, testing, documentation, and CI/CD, • Experience configuring and operating pipeline tooling such as Fivetran, Airbyte, or Segment at scale, • Strong hands-on AWS experience (our cloud), including data services like S3, Glue, Lambda, or EMR. Other clouds are a plus but not a substitute., • Strong Python skills for custom pipelines and automation, • Experience integrating CRM, marketing automation, event, or content platforms via REST APIs, webhooks, or event streams, • Healthcare experience — especially pharmaceutical claims, HCP, or health system data — is a strong plus, • Able to explain architecture decisions clearly to non-technical stakeholders SALARY & BENEFITS This is an opportunity to do meaningful work, grow your impact, and continue developing your expertise within a high-performing, mission-driven organization. Salary is commensurate with experience and qualifications. HCEsquared® offers a comprehensive benefits package designed to support the health, flexibility, and professional growth of our team, including: • Fully remote work environment with a flexible time off policy, • Dedicated professional development support, including reimbursement for approved learning and development activities., • Comprehensive wellness benefits, including medical, vision, and dental coverage, with a significant portion of premiums subsidized for employees and eligible dependents, as well as access to HSA, FSA, and Dependent Care FSA plans, • Employer-paid life insurance, short-term disability, and long-term disability coverage, • 401(k) retirement plan with company matching, • Cell phone reimbursement for business use, • Home office stipend to support a productive remote setup

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 95.8 million monthly active users (MAU), as of December 31, 2025, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com. Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. The IT team enables every Life360 employee to do their best work — owning helpdesk, hardware, in-office technology (yes, we still have offices!), and the business applications that run the company. Within IT, the IT Engineering team handles the deeper engineering work across identity, endpoint security, SaaS governance, and automation — pairing deep specialists with generalist engineers who cover the full surface, and treating internal IT as a product, not a ticket queue. Reporting to the IT Engineering Manager, the Senior IT Systems Engineer II is the generalist on the IT Engineering team — the engineer who can move fluently across SaaS platforms, identity, endpoints, and integrations, and the cornerstone our automation and infrastructure specialists rely on. You’ll be the primary technical escalation point for the Help Desk, the subject matter expert on Okta and the broader SaaS estate, and a strategic voice in tool evaluation, governance, and AI-native IT operations. This is the role for a senior IC who genuinely enjoys the breadth — someone who can debug a SAML claim in the morning, scope an MDM policy at lunch, and design a new SaaS integration in the afternoon. Deep Okta experience is essential; Okta Certified Administrator or higher is strongly preferred. The US-based salary range for this position is $91,000 to $169,000. We take into consideration an individual’s background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. • Serve as the senior technical escalation point for the Help Desk on identity, SaaS, MDM, and authentication issues that exceed Tier 2 — owning resolution and feeding fixes back into platform configuration., • Act as the subject matter expert on Okta and our broader identity stack (user directories, SCIM provisioning, SSO integrations, group rules, authentication policies), and partner with departments to onboard new SaaS platforms cleanly., • Design, configure, and maintain Life360’s SaaS estate — Okta, Google Workspace, Slack, Zoom, Iru (formerly Kandji), Intune, Atlassian, GitHub, and AWS — with a focus on integration, governance, and lifecycle., • Evaluate, deploy, and govern AI-powered tools across the organization, and build AI-assisted workflows (including MCP integrations) that accelerate troubleshooting, audit investigations, and cross-platform operations., • Partner closely with the team’s automation and infrastructure specialists, contributing low-code automations and scripts (PowerShell, Python, JavaScript) where they accelerate the team., • Define and refine IT processes and policies — including identity lifecycle, access governance, and tool-selection criteria — so they scale as the company grows., • Maintain clear, current technical documentation and SOPs for critical workflows; mentor junior team members and act as a bridge across IT functions., • Participate in on-call rotations., • Demonstrated experience as a senior IT systems / SaaS platform engineer in a fast-moving, distributed environment, with deep hands-on Okta administration (SSO, SCIM, group rules, authentication policies); Okta Certified Administrator or higher strongly preferred., • Demonstrable experience administering and integrating Google Workspace, Slack, Zoom, Atlassian, GitHub, and AWS, plus MDM platforms (Iru — formerly Kandji — and Intune)., • Comfortable working with/within IaC frameworks like Terraform, • Working knowledge of networking fundamentals (TCP/IP, DHCP, DNS, VLAN, VPN), Zero Trust principles, and CIS-style hardening standards., • Hands-on experience using AI/LLM tools (Claude, ChatGPT, Copilot) to accelerate IT operations, documentation, scripting, and investigations — plus familiarity with AI governance, acceptable-use policies, and enterprise AI deployment patterns., • Proficiency in at least one scripting language (PowerShell, Python, or JavaScript) and comfort with low-code automation tooling., • Proven ability to evaluate emerging platforms quickly, assess security posture, and make practical build-vs-buy recommendations., • Excellent written and verbal communication; able to produce documentation and training materials that other engineers can pick up and run with., • Competitive pay and benefits, • Medical, dental, vision, life and disability insurance plans (100% paid for employees), • 401(k) plan with company matching program, • Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being, • Flexible PTO, 13 company-wide days off throughout the year, • Winter and Summer Weeklong Synchronized Company Shutdowns, • Learning & Development programs, • Equipment, tools, and reimbursement support for a productive remote environment, • Free Life360 Platinum Membership for your preferred circle, • Free Tile Products Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference. • Be a Good Person - We have a team of high integrity people you can trust., • Be Direct With Respect - We communicate directly, even when it’s hard., • Members Before Metrics - We focus on building an exceptional experience for families., • High Intensity, High Impact - We do whatever it takes to get the job done. We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote

The Health Management Academy (THMA) brings together health system leaders and innovators to collectively address the industry’s biggest challenges and opportunities. By assisting executives in cultivating peer networks, understanding key strategic trends, establishing pragmatic partnerships, and developing next-generation leaders, our members are better positioned to lead industry transformation. The Health Management Academy offers a dynamic atmosphere with significant opportunities for employees. If you are interested in contributing to a member-centric, creative, and collaborative workforce while deeply influencing top leaders and institutions in healthcare, THMA could be the right place for you! Position Summary The Director/Senior Director of Revenue Operations, Intelligence & GTM Systems is a transformation-focused leader responsible for building the analytical and technological foundation that drives THMA’s go-to-market performance and revenue growth. Operating at the intersection of data science, data strategy, and GTM technology, this role designs models, systems, and frameworks that translate data into strategic business decisions. Partnering closely with the Revenue Operations team, Sales & Marketing Leadership, IT, and Salesforce teams, this leader will reduce system sprawl, unify data into a single source of truth, and deliver tools that enhance prospecting, pipeline generation, and sales execution. This role is ideal for a leader with scale-up experience in SaaS or PE-backed environments under $100M ARR, where building GTM functions from the ground up requires both operational rigor and creative problem-solving. The Director combines hands-on analytical expertise with a systems mindset, ensuring THMA’s revenue organization operates with clarity, precision, and scalability, while serving as a trusted partner to executive stakeholders. Primary Job Duties • Revenue Data Blueprint & Infrastructure, • Define and own THMA’s revenue data strategy in partnership with IT, ensuring data from Salesforce, marketing systems, and financial tools flows accurately into the data warehouse (Snowflake, Redshift, or equivalent)., • Lead data modeling in an effort to establish our source of truth against initiatives such as forecasting, attribution, and top of funnel analytics, • Partner with IT’s Data Integration Engineer on ETL workflows, governance, and data quality., • Ensure documentation, scalability, and integrity across all RevOps systems., • Data Science, Analytics & Modeling, • Develop predictive and prescriptive models for pipeline health, conversion rates, and revenue growth., • Use SQL, Python, and BI tools (Power BI, Tableau, etc.) to analyze and visualize data., • Deliver executive dashboards and scorecards that provide a unified view of GTM performance., • Translate data insights into actionable recommendations that inform strategy and drive results., • GTM Systems Ownership, • Own and optimize THMA’s GTM technology stack (Outreach, Gong, enrichment and attribution tools)., • Rationalize and integrate tools to reduce redundancy and improve automation and visibility., • Lead vendor evaluations, ROI analyses, and security reviews for new GTM investments., • Partner with IT to ensure integrations are secure, documented, and aligned with governance standards., • Sales Enablement & Insights, • Build tools and insights that enable sales teams to manage pipeline, prospect, and report from a single source of truth., • Collaborate with Sales Leadership to align tools, workflows, and reporting with go-to-market priorities., • Design playbooks, training, and change management programs to drive adoption and measurable impact., • Strategic Planning & Collaboration, • Partner with Marketing, Sales, Partnerships, and Finance to define and track key revenue KPIs., • Design processes and dashboards that turn data into actionable strategy., • Serve as the liaison between GTM, IT, and Data Engineering teams to align architecture with business priorities., • Champion data literacy and cross-functional enablement across THMA., • Innovation & Emerging Technology, • Research and evaluate emerging AI-driven GTM platforms, automation tools, and data technologies, • Pilot and implement innovative solutions that improve prospecting efficiency, data quality, and revenue intelligence., • Business Partnership & Operational Cadence, • Serve as a strategic advisor to Sales and RevOps leadership, ensuring tools and processes evolve with GTM needs., • Lead data-driven planning cycles, QBRs, annual planning, and board-level insights., • Provide actionable recommendations on pipeline coverage, sales productivity, and customer health. Minimum Qualifications • Bachelor’s degree in Business, Marketing, Data Science, Statistics, or related field., • 8+ years of experience in Revenue Operations, Data Analytics, Business Intelligence, or GTM Technology Strategy., • Proven success scaling GTM systems and analytics in SaaS or consulting environments under $100M ARR., • Advanced proficiency in SQL and Python for data analysis and model development., • Strong understanding of ETL concepts and collaboration with data engineering teams., • Hands-on experience with data warehouses (Snowflake, Redshift) and BI tools (Power BI, Tableau)., • Deep Salesforce expertise (administration, reporting, APIs); Salesforce Admin certification preferred., • Familiarity with Outreach, Gong, Marketo, and emerging AI-driven GTM tools., • Strong communicator with experience presenting complex data to executive audiences., • Data-driven operator with mastery of SaaS KPIs (CAC, LTV, NRR, churn, pipeline coverage). Interpersonal Skills & Attributes • Strategic systems thinker with analytical rigor and operational acumen., • Collaborative leader across technical and commercial functions., • Committed to structure, documentation, and scalable design., • Process- and outcome-oriented with exceptional execution skills., • Innovator with a pulse on emerging technologies and AI., • Persuasive communicator and trusted advisor to executives. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is required to talk and hear. The employee is required to be seated most of the time. The employee is required to use computer screens all of the time. Specific vision abilities required by the job include close vision, and distance vision. Benefits and Compensation: THMA offers a comprehensive slate of benefits including health insurance, dental insurance, vision insurance, 401(k) matching, cell phone and commuter reimbursements, generous paid time off, and paid parental leave. We also offer non-monetary benefits designed to support team members fully including learning and development programs, coaching for working parents and caregivers, free therapy and professional coaching sessions, one-on-one financial coaching, and free legal support services. This role includes an annual performance based bonus. Base Salary Range $120,000 - $140,000 USD Notice of Equal Opportunity Employment: The Academy is committed to providing equal employment opportunity to all persons regardless of age, color, national origin, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, The Academy will provide reasonable accommodations for qualified individuals with disabilities. The Academy’s goal is for our people to reflect the communities in which we live and serve and to ensure representation of women, people of color, veterans and individuals with disabilities in our organization.

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity. StackAdapt is the no. 1 performing programmatic advertising platform helping brands accelerate customer engagement and acquisition. This state-of-the-art platform is where some of the most progressive work in machine learning meets cutting-edge user experience. Ranking the highest in performance by G2 Crowd for the fourth time, we're one of the fastest growing companies in Canada and ranks 6th in Deloitte's Technology Fast 50 ranking and 23rd in Fast 500 in North America. We're seeking a Staff Engineer to help lead our growing backend engineering team. Our real-time advertising bidding system handles over 3,000,000 requests per second and stores several terabytes of data every day. Our technologies include Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, RocksDB, Redshift, ScyllaDB, GraphQL and others. We're not afraid to test and try new technologies. About the Team: The Stats & Analytics team at StackAdapt is responsible for managing the end-to-end data lifecycle, from ingesting diverse data types such as engagement events (impressions, clicks) and conversion data (purchases, website visits) to distributing this data across critical downstream services like reporting, billing, bidding, and analytics. We also ensure that this data is accessible for offline use, supporting data warehousing, client reporting, and custom dashboards. Our team tackles complex distributed system challenges, focusing on scalability, performance, reliability, and data consistency. We leverage a modern tech stack that includes Golang for high-performance services, TiDB for scalable SQL databases, Redshift and Snowflake for data warehousing, Kafka for real-time streaming, Elasticsearch for powerful search and analytics, and HDFS for distributed storage. If you're passionate about solving large-scale data problems and working with cutting-edge technologies, the Stats & Analytics team offers an exciting opportunity. Watch our talk at Amazon Tech Talks: _ StackAdapt is a Remote First company, we are open to candidates located anywhere in North America for this position. \n What you'll be doing: • Working with team of engineers focused on building StackAdapt’s stats and analytics offering, • Build deep understanding and expertise in multiple different databases that house petabytes of data, • Architect scalable low-latency backend systems and data pipelines. Write code as needed to support the team., • Lead and mentor a team of talented engineers within the backend distributed systems team, • Make a positive impact on the team's productivity and growth, • Promote software development best-practices and conduct rigorous code reviews, • Rigorously identify and solve technical challenges, • Conduct interviews to attract and identify potential high performing candidates, • Balance and prioritize projects to maximize efficiency and ensure company objectives are achieved We'll be reaching out to applicants that have: • Experience with working with large datasets, • Experience with real-time analytics services, • Proven track record of delivering results and leading growing, high-impact teams, • At least 5 years experience of software development in distributed systems, architecting scalable microservices and data pipelines in a successful high-growth technology company, • At least 1 year of leadership experience, including all the responsibilities listed above, • A strong understanding of computer science fundamentals, data structures, and algorithms, • Up to date knowledge and experience in the latest technologies, tools, and frameworks, • Experience with Go and high performance databases is a plus StackAdapters enjoy: • Highly competitive salary, • RRSP/401K matching, • 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off, • Access to a comprehensive mental health care platform, • Full benefits from day one of employment, • Work from home reimbursements, • Optional global WeWork membership for those who want a change from their home office, • Robust training and onboarding program, • Coverage and support of personal development initiatives (conferences, courses, etc), • Access to StackAdapt programmatic courses and certifications to support continuous learning, • An awesome parental leave policy, • A friendly, welcoming, and supportive culture, • Our social and team events! \n StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: _ _ _ and by Great Place to Work® _ #LI-Remote

About the role: Connected Asset Maintenance (CAM) is one of Samsara’s fastest-growing software bets: a brand-new product area focused on transforming asset and fleet maintenance from reactive, paper-based workflows into AI-driven, predictive maintenance programs. We’re building a modern platform that uses rich IoT and telematics data, intuitive interfaces, and centralized workflows to help customers reduce downtime, extend asset life, and run more efficient operations. We are seeking a Staff Software Engineer to serve as a technical anchor for CAM. In this role, you will lead the design and evolution of our predictive maintenance platform, partnering closely with product, data science/ML, design, and customers to build and scale high-impact capabilities for our customers. You’ll be responsible for shaping the architecture for ML-powered features — from time-series modeling and data pipelines to APIs and customer-facing workflows — and for raising the engineering bar across the team. This role is remote and open to candidates residing in the US. Relocation assistance will not be provided for this role. You should apply if: • You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely., • You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations., • You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go., • You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes., • You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together. In this role, you will: • Define and drive the technical strategy for CAM’s predictive maintenance platform, including architecture for data ingestion, feature engineering, model serving, and customer-facing workflows., • Lead the design and implementation of new predictive models and data products, working closely with ML/data partners to move from proof-of-concept to robust, monitored, and continuously improving production systems., • Own and evolve large-scale, distributed systems that process high-volume time-series and event data from Samsara devices and third-party sources, ensuring reliability, performance, and cost efficiency as we grow., • Collaborate across the stack (backend, web, and potentially mobile) to deliver end-to-end features—APIs, data models, business logic, and intuitive UI flows—that bring predictive insights into day-to-day maintenance workflows., • Partner with product, design, and customer-facing teams to define the roadmap, translate ambiguous business problems into clear technical projects, and measure the impact of what we ship (e.g., reduced breakdowns, fewer emergency repairs, improved shop throughput)., • Mentor and multiply other engineers on the team through code reviews, design reviews, technical coaching, and by setting high standards for quality, reliability, and velocity. Minimum requirements for the role: • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience., • 8+ years of experience in software design and development, including building and operating production systems at scale., • 3+ years building data-intensive or ML-backed products, such as forecasting systems, anomaly detection, recommendation systems, or other high-complexity predictive models (e.g., in fintech, health, reliability, or similar domains)., • Strong programming fundamentals and deep proficiency in Python for backend and data/ML-related services., • Experience designing and operating distributed systems or large-scale microservices (e.g., event-driven architectures, time-series storage, streaming or batch data pipelines)., • Demonstrated experience leading cross-team or cross-org projects from inception through rollout, including managing ambiguity, driving alignment, and delivering measurable business impact., • Strong communication skills and the ability to translate between technical and non-technical stakeholders, especially when discussing trade-offs around reliability, performance, and model accuracy. Proven ability to "sit with the customer" to deeply understand operational pain points, translating vague real-world maintenance challenges into high-impact technical requirements and intuitive AI-driven products. An ideal candidate also has: • Master’s degree in Computer Science + Artificial Intelligence., • Expertise with time-series data and forecasting techniques, including feature engineering, evaluation, and productionization for predictive maintenance or similar use cases., • Hands-on experience with MLOps practices and tooling (e.g., model deployment, monitoring, versioning, experimentation platforms) in partnership with data/ML teams., • Experience with full-stack development using technologies such as Go, TypeScript/JavaScript, React, GraphQL, or similar modern stacks in large-scale SaaS applications., • Background working with industrial, fleet, or equipment data (e.g., telematics, fault codes, work orders, inspections) and an interest in learning the maintenance domain in depth., • Proven track record of mentoring senior engineers and influencing engineering culture, standards, and best practices beyond a single team.

Who is Element? We serve as a partner at the intersection of innovation and our clients' needs, efficiently crafting meaningful user experiences for government and commercial customers. By breaking down complex problems to their fundamental elements, we create modern digital solutions that drive efficiencies, maximize taxpayer dollars, and deliver essential outcomes that serve the people. Why Work at Element? Make an impact that resonates-join our vibrant team and discover how you can improve lives through digital transformation. Our talented professionals bring unparalleled energy engagement, setting a higher standard for impactful work. Come be a part of our team and shape a better future. Position Summary: We are seeking a highly skilled and motivated Machine Learning / AI Engineer to support a federal government program focused on designing, developing, and deploying production-grade artificial intelligence and machine learning solutions. The role will focus on building scalable, secure, and high-performing AI models that support mission-critical decision-making and operational efficiency. The Machine Learning/AI Engineer will work across the full model lifecycle—from data preparation and feature engineering to model training, deployment, and monitoring—in a regulated government environment. • Develop and deploy at least three (3) production-grade AI/ML models, including use cases such as predictive maintenance, anomaly detection, classification, forecasting, or optimization., • Design, build, and maintain end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment., • Apply deep expertise in PyTorch and/or TensorFlow to develop and fine-tune advanced machine learning and deep learning models., • Implement and support scalable model serving architectures, ensuring high availability, low latency, and secure inference in production environments., • Collaborate with data engineers to access, transform, and prepare large-scale datasets for model training and inference., • Partner with product owners, analysts, and stakeholders to translate business requirements into machine learning solutions., • Monitor model performance in production, including drift detection, accuracy tracking, and retraining strategies., • Ensure compliance with federal security, privacy, and governance standards in all AI/ML implementations., • Participate in Agile development cycles, including sprint planning, design reviews, and technical demonstrations., • Document model architectures, training methodologies, and deployment processes for maintainability and auditability., • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or related field (or equivalent experience)., • 3+ years of experience in machine learning, data science, or AI engineering roles., • Proven experience delivering production-grade machine learning models in real-world environments., • Expert proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch)., • Advanced SQL development experience, including complex queries, performance tuning, and data transformation logic., • Experience leveraging Large Language Models (LLMs) in development., • Understanding of core concepts such as context windows, prompt design, and input/output structures, with the ability to apply AI tools effectively in building and enhancing solutions., • Experience building and deploying models using scalable serving frameworks (e.g., REST APIs, containerized deployments, or cloud-based inference services)., • Experience working with large-scale structured and unstructured datasets., • Strong understanding of machine learning concepts including supervised/unsupervised learning, deep learning, model evaluation, and feature engineering., • Experience working in the federal government or other highly regulated environments with security and compliance requirements., • Strong analytical and problem-solving skills., • Ability to communicate complex technical concepts to non-technical stakeholders., • Strong collaboration skills across engineering, data, and product teams., • Ability to work independently in a fast-paced, mission-driven environment., • High attention to detail with a focus on model reliability and production readiness., • US Citizenship or Permanent Residency required., • Must reside in the Continental US., • Depending on the government agency, specific requirements may include public trust background check or security clearance., • Experience deploying models in cloud environments (AWS, Azure, or GCP)., • Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)., • Experience with streaming or real-time inference systems., • Background in predictive maintenance, anomaly detection, or operational analytics use cases., • Familiarity with Docker, Kubernetes, and CI/CD pipelines for machine learning systems., • Experience supporting healthcare (e.g., CMS), or other federal mission systems. $135,000 - $145,000 a yearThe likely salary range for this position is $135,000-$145,000. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary. Our People We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); paid time off including PTO, holidays, and any other paid leave required by law. Location Be in your Element. We are a remote first company based out of Washington, DC. Element is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age, ancestry, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, marital status, protected veteran status, or any other legally protected class. We believe in a world where solutions we build improve the lives of those who use them.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Company Overview Come and Join The New Rich! The economic inequality crisis is one of the most defining challenges of our time. It’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Newrich, we’re harnessing cutting-edge technology to better connect coaches with their communities and help them further spread their educational knowledge to their students and followers. We believe that the key to making the world a better and more equal place starts with the empowering the individual. And from there- the individual can inspire and empower the people around them one by one. We all know the old way of living and the old institutions that we all used to depend on are slowly crumbling - and a new way of life is taking it's place - at a quicker pace than ever before. The world is changing at a very rapid pace. When all is said and done - the world will look a lot different than it looks today. And we believe that education, inspiration, and motivation are the only way to create economic opportunity, alleviate poverty and end economic suffering for everyone. One of the leading causes of economic inequality and suffering? It's not "being born into wealth" or " being in a special club". It's a lack of knowledge and skills to control your own financial destiny. That’s where we come in. At Newrich, we are building the next generation creator platform and software tools to not only enable business, health, and wellness coaches to more efficiently and cost effectively run their creator business - but also to grow their audiences with improved visibility and algorithmic ranking on our social learning platform. We empower digital entrepreneurs to turn their dreams into reality. Our mission is simple yet bold: to help people create a balanced, fulfilling lifestyle – while building wealth and independence along the way. Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers—4 nationalities strong and growing. What unites us is a passion for solving complex problems, a commitment to action on economic inequality, and the belief that technology should be a force for good. We’re a fast-growing team driven by one vision: a world where anyone can work remotely, chase their passion, and live life on their own terms. Our platform combines SaaS tools, e-learning programs, and a supportive social network – a one-stop ecosystem designed for creators, entrepreneurs, and dreamers who want more than just a career. We are looking for a Staff Software Engineer who can contribute across the product — building new features, improving existing systems, and helping the team work more efficiently. This is a hands-on role for someone who thrives in a dynamic environment and takes ownership of getting things done. This role is not just about shaping our product - it's also about shaping our culture as well. You will work across our stack (PHP 8.2 / Laravel 10), Node.JS, Golang, and React frontend (React 18 + TypeScript + Vite), and AWS infrastructure, contributing directly to production code while helping improve workflows, documentation, and processes. We hire for attitude and ownership over perfect technical mastery. We believe fulfilling work and a healthy work-life balance is key to living a NewRich Lifestyle. If you’re motivated, ambitious, and ready to grow with us, we want to hear from you! • What You’ll Do, • Design and build scalable, fault-tolerant systems across product and infrastructure, • Own end-to-end architecture decisions across multiple services, • Lead development of core platform primitives (content, identity, transactions, messaging), • Improve performance, reliability, and system observability, • Work closely with founders to translate product vision into technical systems, • Set engineering standards, best practices, and code quality bar, • Mentor engineers and help level up the team, • Identify and eliminate bottlenecks across the stack, • What We’re Looking For, • Experience, • 8+ years of software engineering experience, • Proven experience designing and scaling complex distributed systems, • Experience working on high-growth products or platforms, • Background in one or more of:, • Marketplaces, • Social platforms, • Payments / fintech systems, • SaaS infrastructure, • Technical Strength, • Strong backend experience (e.g., PHP/Laravel, TypeScript/Node, Go, or similar), • Deep understanding of:, • System design and architecture, • API design and service boundaries, • Databases (MySQL, Postgres, event-driven systems), • Caching, queues, and async processing, • Experience with:, • Payment systems or financial workflows (preferred), • Real-time systems (messaging, notifications, streaming), • Cloud infrastructure (AWS or equivalent), • Leadership & Ownership, • Ability to operate with high autonomy, • Strong product intuition—can make tradeoffs between speed and scalability, • Experience mentoring engineers and influencing technical direction, • Comfortable working in early-stage, ambiguous environments, • Tech Stack (Current & Evolving), • • Backend: Laravel (PHP), moving toward TypeScript / Go services, • • Database: MySQL (with future evolution toward more scalable architectures), • • Infrastructure: AWS, • • Realtime / Messaging: In-house systems (moving away from third-party dependencies), • • WebRTC, FFMPEG, HLS, SRT, RTMP, DRM., • • Node.js/Express, GitHub Actions., • • NoSQL (PostgreSQL, Redis)., • • Experience in a multi-service/microservices-style architecture, • • Familiarity with AWS services such as ECS/ECR, RDS, S3, CloudFront, Redis, Amazon MQ, and Lambda, • • Experience with Infrastructure as Code (especially CloudFormation-style templates and environment parameterization), • • Experience improving GitHub Actions workflows and CI/CD pipelines, • • Familiarity with automated testing and quality tooling (Pest/PHPUnit, Vitest, Playwright, ESLint/Prettier, Pint, Psalm) Nice to have: • You can demonstrate experience scaling large distributed architectures., • You have experience in working in a remote-first environment., • You have worked with social media, fintech, or messaging applications before. Personal qualities: • Self-driven, motivated, reliable in a fast-paced environment., • Passionate about something - including a hobby outside of work (unless coding is also your hobby - we LOVE that), • Develop and maintain server-side applications (PHP 8, Laravel 10, Node.JS, Golang, MySQL)., • Build and optimize APIs, ensure performance, scalability, and security., • Implement front-end features with React.js (18.2)., • Work with CI/CD pipelines, automated testing, and code reviews., • Collaborate with cross-functional teams, mentor juniors., • Manage integrations between systems and cloud services (AWS)., • Maintain documentation, database schemas, and ensure security best practices., • What You Get, • To be part of truly mission-driven work that aims to reduce economic inequality and empower individuals to live their best lives and build for the world around them., • Flexible working environment with a lot of autonomy. We build our work days around our lives, not the other way around., • Other benefits like a remote working budget, an educational budget and time to develop new skills., • To be surrounded by an excellent, vibrant, smart team who have each other's back and believe in a culture of openness, tolerance and respect., • You will help define the technical foundation of an entire ecosystem, not just a feature, • Direct access to founders and influence on product + business decisions, • Opportunity to build both:, • Consumer-grade social product, • Fintech-grade infrastructure, • High ownership, low bureaucracy, • Competitive Salary (combination of base + equity + annual bonus) (based on location, experience, and company performance), • Meaningful equity package (early-stage upside), • Flexible work environment You’re not just a coder—you think in systems. You’ve built things that broke at scale—and learned how to fix them. You care about performance, reliability, and long-term architecture, but you also know how to ship fast when it matters. If you want to help build the infrastructure powering the next generation of online businesses, we’d love to talk. About Our Team We work remotely from 4 different countries and we are looking for candidates that are also living and working in one of these countries: United States, Canada, Brazil, Poland, . We meet up once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration. Diversity & Inclusion We place enormous value on diversity and inclusion and strive to continually bring in people of all genders, races, creeds, ethnicities, abilities and backgrounds. We believe that the best ideas emerge when people with different perspectives and approaches work together on a problem. Our values Tackling the economic inequality cris is our greatest mission. We act with urgency. Our curiosity fuels our growth. We recognize that change is constant, and we find joy and power in exploration. We’re rooted in diversity. Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences. We Care For Each Other. We love the power of machines but we nurture each other as humans. Trust is fundamental. We assume the best in everyone, and we share ideas openly so that we have a positive impact. Join us to help us build a more resilient world together. • Paid Adventure Time – Take an all-expenses-paid remote working trip for 3 weeks to a destination of your choice with one of our remote work-trip partners. On top of that, you’ll have “Me-Days” – flexible personal days you can take whenever you need a reset., • Fast Growth, Big Upside – We’re a small, ambitious team. That means more ownership, faster learning, and a real chance to shape the future of our company (and your career)., • Equity + Bonus - Take some early equity and grab a piece of our future success. Bonuses paid out based on company hitting specific milestones and KPIs., • Unlimited Learning – You’ll get full access to every course and program on our NewRich platform. We invest in your growth because your growth fuels ours., • Home Office Stipend – Your setup matters. We’ll support you with a budget to create your ideal workspace and provide you with a new MacBook to power your productivity., • Annual Retreat – Work remote, but meet the team IRL. Every year we gather in amazing locations – next stop: Colombia. Excited about this role? Explore more at _ We’d love to hear from you! Please note: Only candidates who reside within the country of the advertised role will be considered.

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. Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. Since launch, the Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. The API serves as the primary channel for safely and broadly distributing AI's benefits across all sectors of the economy. This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions. This is a high-agency role that spans all API Engineering teams: API Core owns the foundational reliability and performance of the Claude API; API Capabilities ships frontier model capabilities—vision, tool use, computer use—directly to developers; API Knowledge builds retrieval and grounding systems that let Claude reason over external data; API Distributability ensures Claude reaches customers wherever they need it, with the enterprise-ready infrastructure to support it; and API Agents builds the infrastructure for long-horizon agentic workflows in production. Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents. Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams. Serve as the primary technical decision-maker for major architectural decisions with org-wide scope. Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment. Mentor and develop Staff-level engineers across the org. Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks. Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level. Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms. Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust. Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths. Are highly effective across org boundaries—you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike. Bring strong product instincts and a craftsperson's approach to API design; you communicate clearly with both technical and non-technical audiences. Languages: Python, TypeScript Frameworks: FastAPI, React Infrastructure: GCP, Kubernetes, Cloud Run, AWS, Azure Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore Tools: Feature Flagging, Prometheus, Grafana, Datadog Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit _ directly for confirmed position openings. 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. 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. Guidance on Candidates' AI Usage: Learn about _ for using AI in our application process

We’re hiring Senior Software Engineer I's to join the Integrations team within the Expansion product group! The mission of this team is to increase the efficiency and effectiveness of our creator personas by delivering reliable integrations that embed Articulate 360 into our customers’ daily workflows. Because AI is central to how Articulate 360 delivers value, this team ensures our integrations enable intelligent workflows—connecting external systems in ways that enhance automation, context-sharing, and AI-driven experiences. As a Senior Software Engineer I, you will lead the design and delivery of complex integrations while helping shape the scalable frameworks and architectural patterns that enable long-term leverage. You will balance rapid experimentation with thoughtful system design, ensuring that each integration contributes to a more durable and extensible platform. You’ll collaborate closely with your manager, product management, and engineers across multiple teams to drive meaningful outcomes and raise the technical standard of the team. • Lead technical design and implementation of complex integrations from concept through production., • Drive architectural decisions around APIs, authentication, eventing, and data synchronization., • Identify and extract reusable patterns from integration efforts to reduce the marginal cost of future work., • Ensure integrations are observable, secure, resilient, and maintainable., • Provide thoughtful technical leadership through design discussions and code reviews., • Mentor other engineers and consistently raise the quality and effectiveness of the team., • Partner across engineering teams to clarify ownership boundaries and shared infrastructure., • Contribute to prioritization discussions by evaluating trade-offs between immediate delivery and long-term platform investment., • Leverage modern tooling, including AI-assisted development, to improve productivity and quality., • Supporting services via on-call rotation, • Technical Depth, • Full-stack proficiency with React, JavaScript, TypeScript, and Node.js, • Experience working with SQL databases, ideally Postgres, including data modeling, query performance, and maintaining data integrity at scale, • Strong experience designing and building production-grade APIs and integrations., • Deep understanding of authentication, authorization, and secure data exchange., • Experience with event-driven systems, webhooks, and distributed reliability patterns., • Ability to reason clearly about trade-offs between immediate delivery and long-term architectural investment., • Experience influencing technical direction and setting standards within a team, • Ownership & Impact, • Strong orientation toward outcomes over output., • Demonstrated ability to take ambiguous problems and drive them to production., • Bias toward small, frequent releases and iterative learning., • Holds a high bar for reliability, security, and maintainability., • Collaboration & Influence, • Proven experience partnering closely with design and product to shape solutions and navigate tradeoffs, • Proven ability to work effectively across team boundaries., • Clear and confident communicator in technical discussions and design reviews., • Mentors others and contributes to a culture of continuous improvement., • Integrations you lead are architecturally sound and deliver measurable product impact., • The team benefits from clearer technical direction and reusable patterns., • You consistently raise the quality bar through code reviews, mentorship, and design leadership., • Cross-team collaboration improves because of your clarity and communication., • You demonstrate strong system-level thinking within the integrations domain., • You help the team move quickly without sacrificing reliability or long-term leverage. $137,700 - $182,246 a yearThe pay range for this position is $137,700to $182,246 for all US locations. This range represents our good faith expectation of what we reasonably expect to pay for this role based on factors including (but not limited to) skills, experience, training, licensure and certifications, education, and other business and organizational needs. This position is bonus-eligible. Articulate also offers a robust suite of benefits — visit _ for a full list. This is a US-based role and can be performed remotely from anywhere within the United States. Occasional travel for company events may be required. Employees must physically reside and work within the US throughout their employment and must immediately notify Articulate of any change of address.About us Articulate Global, LLC, is the leading SaaS provider of creator platforms for online workplace training. Founded by Adam Schwartz in 2002, Articulate provides creator tools and services that make it simple for enterprises and SMBs to develop, deliver, and analyze online workplace training that’s engaging and effective. Increasingly, organizations must reskill employees for ever-changing remote and hybrid work environments, create learning cultures that attract and retain employees in a tight labor market, and use training to build more equitable, empowering, and engaging workplaces. Articulate helps organizations address these critical business needs with its creator platform for workplace training. Articulate 360—a suite of creator tools for online courses—was named the 7th most-loved product in the world by TrustRadius in 2021. And _—an all-in-one online training system that makes online training easy to create, enjoyable to take, and simple to manage—is the first creator platform for SMBs and departments within the enterprise. Articulate has more than 118,000 customers in 170 countries and counts all 100 of the Fortune 100 companies as customers. Named one of Inc. Magazine’s Best Workplaces 2022 and a leader in building a , Articulate is guided by a commitment to provide the best value to customers, do right by employees, and create an equitable, empowering workplace for all. As a human-centered organization, we honor people’s humanity knowing that each person’s unique history, vulnerabilities, and social location inform how we show up with one another. We embrace our connectedness, aware that what we do and say impacts others. We give each other grace because we are all works in progress, learning and evolving every day. And we take responsibility for ourselves and are serious about our accountability to each other. In all we do, we strive to create an equitable, sustainable, and empowering workplace while we drive results for the business and make a positive impact in the world. . Articulate Global, LLC is an Equal Employment Opportunity and Affirmative Action employer and complies with all applicable federal, state, and local fair employment practices laws. All employment decisions at Articulate are based on business needs, job requirements, and individual qualifications directly related to the job, without regard to any protected characteristic or class, including, but not limited to, race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. Qualified candidates with criminal histories will be considered for this role in a manner consistent with applicable law. Articulate is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation related to the application process due to a disability, you may contact us at . (For information about Articulate's privacy practices, please view our ) As an organization, we participate in _. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living _ and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. The Context Hub is a knowledge store within Oura's HealthOS platform. It ingests data from diverse sources, transforms it through both pipelines and LLM-based interpretation layers, and serves structured User Context. If Oura's intelligence systems are the brain, the Context Hub is the memory. This is an opportunity to be part of teams that are at the forefront of wearable technology, innovating and defining the future of Oura’s products through collaboration across different teams. This is a platform-building role. You'll design foundational data infrastructure that multiple product teams depend on - not ship features in isolation. • Design data transformation pipelines that convert raw health signals, user inputs, and third-party data into structured, queryable context, • Architect event-driven ingestion using tools like Kinesis, EventBridge, and SQS - handling duplicate events, traffic spikes, and partial failures gracefully, • Define flexible data models and schemas for a hierarchical health context ontology that evolves as new context types emerge, • Build multi-consumer APIs and data contracts serving LLM-powered reasoning engines, mobile apps, and analytics pipelines through clean, well-documented interfaces, • Operate and design data storage at scale, • Create SDKs and integration surfaces that let other squads contribute and own contexts with minimal friction, • Collaborate effectively in a globally distributed, diverse, and cross-functional team, adapting as Oura evolves and new opportunities emerge., • Own production quality end-to-end: testing, monitoring (Grafana, Prometheus, OpenTelemetry), alerting, and documentation At Oura, AI is a core part of how we build software. We encourage senior engineers to use tools like Cursor, Claude Code, and GitHub Copilot to accelerate pipeline development, iterate on schema design, prototype integration patterns, and reduce boilerplate - so you can focus on the hard problems. All code is reviewed and owned by the engineer. AI is a multiplier, not a crutch. We're looking for engineers who view AI as a coworker in the development loop, not just autocomplete. • 5+ years building and operating production data systems at scale in Python, • Experience designing event-driven architectures - message brokers, event streams, CDC pipelines, with understanding of delivery guarantees, fan-out, and backpressure, • Deep experience with data transformation pipelines - ingesting from heterogeneous sources, normalizing, enriching, and serving with clear data contracts, • Strong technical grasp of AWS ecosystems with a focus on varied data storage solutions (RDS, DynamoDB, etc.), asynchronous messaging (SQS, EventBridge), and scalable compute environments like EKS and Lambda., • A data-model-first mindset - you start with the shape of the data and access patterns before jumping to service architecture, • Experience building shared platforms or APIs that multiple teams depend on, with thoughtful versioning and self-service integration patterns, • Strong systems design instincts - you think in terms of data integrity, resilience, and failure modes before they become incidents, • Excellent communication - you explain your thinking before acting, ask incisive questions upfront, and articulate trade-offs clearly, • Have a team-oriented mindset and enjoy working in a diverse environment with distributed teams, • Experience with FastAPI or AWS Lambda Powertools, • Background in health data, wearables, or familiarity with FHIR/SNOMED/ICD, • A privacy-first approach to engineering, with a solid understanding of the best practices for handling sensitive data (PHI/PII)., • Building infrastructure that feeds data to/from LLM-powered services, • Familiarity with feature stores, embeddings, or vector databases, • Experience in building efficient, scalable database schemas and/or query optimization, • Infrastructure-as-code (AWS CDK, Pulumi), • Observability tooling: Grafana, Prometheus, OpenTelemetry, • Experience in globally distributed teams working asynchronously across time zones, • Commitment to continuous learning. You’re someone who stays adaptable and is always looking to expand your technical toolkit as the industry evolves. At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $172,550 - $203,000, • Region 2 $158,950 - $187,000, • Region 3 $147,900 - $174,000 A recruiter can determine your Region based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI). Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront., • Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

9amHealth is an AI-enabled virtual specialty care platform focused on managing high-cost chronic conditions at scale. The company partners with employers, health plans, and pharmacy benefit managers to deliver comprehensive, cost-effective medical care for individuals living with obesity, diabetes, hypertension, and dyslipidemia. Members receive access to specialized clinicians, including endocrinologists, obesity medicine specialists, and clinical pharmacists, at-home lab testing, prescription medications, and lifestyle support. 9amHealth was founded in 2021 and is backed by leading healthcare investors like Define Ventures, SemperVirens, 7Wire Ventures, and The Cigna Group Ventures. About the Role We are looking for a Senior Data Engineer to join our lean, high-impact Data & Analytics team (currently a data analyst and a data engineer). You will own and evolve the data platform that powers clinical operations, business intelligence, and AI initiatives. This is a hands-on, full-stack data role: you will build and maintain pipelines, design analytical data models, contribute backend application code, and help the team adopt modern AI-assisted development practices. This is not a traditional analytics or BI role. We need a strong software engineer who happens to specialize in data. Our entire DWH, ETL, and reporting stack is built in Python on AWS, so deep Python development experience is essential. The ideal candidate can write production-quality Python and SQL with the same rigor as any backend engineer, while also being comfortable configuring a Looker explore, building an AWS Glue job, or contributing Java code where needed. You thrive in a startup environment where ownership is broad and velocity matters. What it is: Design, build, and maintain scalable data pipelines and ETL/ELT workflows in Python using AWS Glue, Apache Spark, Airflow, or equivalent orchestration tools. Write production-grade Python code for DWH logic, reporting jobs, data transformations, and internal tooling, following software engineering best practices (testing, code review, CI/CD). Develop and optimize analytical data models (dimensional, OBT, or hybrid) that serve self-service BI and advanced analytics use cases. Build and maintain dashboards, explores, and semantic layers in Looker and/or Tableau; serve as the analytics infrastructure owner ensuring data quality and governance. Contribute backend application code in Java (Spring Boot) or Python to support data-intensive features, API integrations, and internal services. Champion modern AI coding practices across the data team, leveraging tools like GitHub Copilot, Claude, Cursor, or similar AI-assisted development environments to accelerate delivery and code quality. Author and maintain comprehensive SQL assets (stored procedures, views, complex queries) across Redshift, Aurora/MySQL, and Athena. Operate and optimize AWS data infrastructure including Glue, S3, Redshift, CloudFormation, CloudWatch, IAM, and Athena. Collaborate closely with clinical operations, product, finance, and engineering teams to translate business questions into reliable, well-documented data products. Implement data quality frameworks, monitoring, alerting, and incident response processes for the data platform. Contribute to the architecture and data strategy for AI/ML features, including data prep, feature engineering, and model monitoring. Mentor the existing data analyst and data engineer; help establish team standards, code review practices, and documentation norms. What you need: 10+ years of professional experience in data engineering, analytics engineering, or a hybrid data/backend software engineering role. Strong software engineering background: this role requires someone who can write, test, debug, and ship production code, not just query data. Expert-level Python: deep experience building production data pipelines, ETL logic, and reporting systems in Python. Expert-level SQL: window functions, CTEs, recursive queries, query optimization, and performance tuning at scale. Hands-on experience with AWS data services, specifically Glue, S3, Redshift, Athena, CloudFormation, CloudWatch, and IAM. Experience with MySQL/Aurora in a production environment. Hands-on experience building and operating data pipelines with AWS Glue, Spark, dbt, Airflow, or comparable frameworks. Deep experience with at least one modern BI platform. Looker (LookML) strongly preferred; Tableau also valued. Should include semantic modeling, dashboard design, and self-service enablement. Solid understanding of data modeling techniques: star/snowflake schemas, slowly changing dimensions, event-based models. Familiarity with AI-assisted coding tools (GitHub Copilot, Claude Code, Cursor, Cody) and a demonstrated interest in integrating AI into engineering workflows. Preferred Qualifications Proficiency in Java (Spring Boot, Maven/Gradle) with experience shipping backend services or data-intensive applications to production. AWS certifications (e.g., Solutions Architect, Data Analytics Specialty, or Database Specialty). Experience in health tech, digital health, or regulated industries (HIPAA familiarity is a plus). Experience with CI/CD for data assets (dbt CI, Great Expectations, or similar). Background in building or contributing to AI/ML features: feature stores, training pipelines, model serving, or RAG architectures. Comfort with infrastructure-as-code (Terraform, CloudFormation) and containerized deployments (Docker, ECS/EKS). Prior experience in a startup or high-growth environment where you owned outcomes end to end. Track record of improving developer experience and productivity through tooling, automation, or process improvements. At 9amHealth, you'll join the exciting environment of a startup with the stability of highly experienced founders that have successfully built a business from scratch. We foster a collaborative learning mindset and a passion for improvement. You'll work with a brand-new product alongside a small, flexible team of people eager to shape technology, infrastructure, and culture. Our team members are spread across the globe, with physical sites in San Diego, California, and Vienna, Austria, but we value your culture regardless of where you work. We offer a comprehensive benefits package, including health, dental, and vision insurance, along with flexible PTO and work from home options. We provide a professional development budget and support continuing education, empowering our team to grow alongside the company. Team members have the opportunity to make a meaningful impact on chronic disease management and patient outcomes while contributing to a collaborative, mission driven culture focused on improving healthcare accessibility and affordability. Diabetes disproportionately impacts _ communities. We are committed to creating a workforce that reflects our patients and creating a positive healthcare experience for them. We welcome applications from people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, and foreign born residents.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match — which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving. About the Role We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion — from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale. This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced — read on. What You'll Do • Build and maintain SIMBA's outbound infrastructure — lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale, • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them, • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows — reducing manual work for the Sales team, • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created, • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync, • Evaluate and adopt new AI and GTM tooling rapidly — be the team's resident expert on what's emerging and what's worth building on What We're Looking For • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean, • You've personally built outbound systems from scratch — enrichment pipelines, multi-step sequences, lead scoring — not just managed existing ones, • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs, • You think in funnels and measure everything — pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively, • You ship fast, keep things simple, and don't wait for permission Nice to Have • Experience building GTM systems for an AI, voice, or developer-tools product, • Familiarity with contact center, CX, or telephony buyer personas, • Background at a B2C company that also runs a B2B or API sales motion Why Speechify SIMBA Build a product that genuinely impresses prospects — sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact. The United States Salary range for this role is - $105,000–$140,000 base salary. On-target earnings of $150,000–$200,000. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Role at a glance What: As Rally's founding Platform / Infrastructure Engineer, you'll take full ownership of our cloud infrastructure, CI/CD platform, and developer experience — building the foundation that lets our engineering team move fast, ship reliably, and scale into an AI-native future. Impact: You'll be the dedicated owner of Rally's CI/CD platform, Terraform infrastructure, preview environments, and agentic platform foundations — building from the ground up and setting the standard for how we scale. Team: You'll join our Engineering team as the founding member of a dedicated infrastructure function, reporting directly to a founding engineer Melvin, and working closely with leadership. You'll work closely with Platform and Product Engineers across the stack. Work style: Remote-first and able to work within the US timezones, with regular async collaboration and optional in-person team onsites. About Rally Rally is the User Research CRM that helps product, design, and research teams talk to their users quickly, safely, and at scale. Our platform automates the unglamorous parts of research—participant recruitment, outreach, screening, scheduling, consent, and incentives—so teams can spend more time learning from customers and less time wrestling with manual workflows. We're now building Rally's next chapter: an AI-native platform that handles the full research recruiting lifecycle, end to end. Trusted by teams at Google, Adobe, Figma, GitLab, Webflow, and others. Backed by Y Combinator, Stage 2 Capital, and Canapi Ventures. About the team Rally Engineering is a highly collaborative, user-obsessed group focused on making research smoother for both our customers and their participants. We work closely with UX Researchers, Research Ops leaders, designers, and product managers at some of the world's most user-centric companies. We use Rally to build Rally — talking to our own users frequently, running studies on our platform, and feeding insights straight into the roadmap. We favor small, empowered teams, high ownership, and a tight feedback loop between customers, product, and engineering. The opportunity We're hiring our first dedicated infrastructure engineer to take Rally from 1→10 on platform maturity. You'll have end-to-end ownership of CI/CD, developer experience, cloud infrastructure, and the agentic platform foundations that will define Rally's next chapter. Rally is in the middle of a massive shift in how companies run user research: from ad-hoc, one-off projects to continuous learning that informs every product decision. In this role, you'll help define what that future looks like — for Rally as a product and for the teams who rely on us to run research at scale. You'll join at a stage where we have strong product-market fit, a fast-growing customer base, and plenty of hard, interesting problems left to solve. What you'll do CI/CD: Evaluate, select, and own Rally's CI/CD platform. Define and track DORA metrics to drive continuous improvement in delivery velocity. Developer Experience: Build on-demand ephemeral preview environments for a large service footprint that can't run locally. Improve inner-loop developer workflows: build times, local tooling, and service scaffolding. Infrastructure ownership: Own Rally's full AWS stack (ECS/Fargate, Aurora PostgreSQL, MSK, DynamoDB), and mature our Terraform IaC — modularization, drift detection, CI for infra changes. Own cost optimization and per-team cost visibility. Observability & reliability: Maintain and evolve Rally's Datadog observability stack. Build automation tools and runbooks to reduce operational toil and accelerate incident recovery. Drive post-incident reviews and translate findings into systemic improvements that prevent recurrence. Security & compliance: Container scanning, secrets management, IAM least-privilege enforcement. Support SOC 2 audit requirements as needed. What you'll bring 5+ years in infrastructure, platform engineering, or SRE Deep AWS experience: ECS/Fargate, RDS/Aurora, MSK, DynamoDB Production Terraform with a track record of improving IaC maturity CI/CD platform experience Strong observability fundamentals Nice to have Early/founding platform team experience Node.js/TypeScript familiarity (Prisma, GraphQL) Kafka or equivalent event streaming operations Temporal or similar workflow orchestration Deploying Ephemeral/preview environments for complex distributed monolith architectures FinOps practices and cost tooling Edge/CDN deployment (CloudFront, Cloudflare Workers, Vercel) How we work Rally is a remote-first company with teammates across the US and Canada. We default to async communication, use clear written documentation to keep everyone in the loop, and reserve meetings for collaboration, decision-making, and relationship building. Remote-first: Work from anywhere in the US, with core collaboration hours that overlap across US time zones. In-person connection: We bring people together for periodic team or company offsites to build relationships, do deep-dive strategy work, and celebrate wins. High ownership: You'll have real responsibility from day one and a lot of trust to figure out the best way to get to outcomes. Customer-driven: We talk to users constantly and use those insights to drive decisions across Product, Design, Engineering, and Go-To-Market. AI-native: We're building an AI-native product and operating like one internally. We expect everyone at Rally to be actively experimenting with AI tools, challenging how they work, and finding ways to move faster. Compensation & benefits Base salary range (US): $190,000 – $225,000 USD per year. This range reflects the minimum and maximum target for new hires in this role across the United States. Within the range, individual pay is determined by factors such as job-related skills, experience, and location. Additional compensation: This role is eligible for variable compensation (such as equity awards) in accordance with Rally's applicable plans. Any such compensation is not guaranteed and is determined at Rally's discretion under the terms of those plans. Benefits for US-based full-time employees currently include: Competitive compensation and meaningful equity Flexible / unlimited PTO policy Medical, dental, and vision insurance Parental Leave 401(k) retirement plan Home office set-up support Monthly remote work stipend Quarterly in-person team offsite + annual company gathering Benefits may vary based on role, level, and location, and are subject to change as Rally grows. Our hiring process While the exact steps can vary by role, here's what you can generally expect: Initial conversation: A short call with our recruiting team to learn more about your background and share more about Rally. Hiring manager interview: A deeper conversation about the role, your experience, and what success looks like in the first 6–12 months. Technical coding challenge System Design Challenge Team and cross-functional conversations: Time with leadership and/or key partners to answer your remaining questions. We'll share details at each stage so you know what's coming and how to prepare! Rally strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team. Our salary ranges are based on competitive market data for our size, stage, and industry, and may adjust over time as the market evolves. Rally is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, veteran status, or any other legally protected characteristic. We're committed to providing reasonable accommodations to candidates with disabilities throughout the application and interview process. If you need support or an adjustment at any point, please email us and let us know how we can help. This job description is intended to describe the general nature and level of work for this role. It is not a complete list of all responsibilities, duties, and skills required. Employment with Rally is "at will," which means either you or Rally may terminate the employment relationship at any time, with or without cause or notice, subject to applicable law.

Sayari is a risk intelligence provider that equips the public and private sectors with immediate visibility into complex commercial relationships by delivering the largest commercially available collection of corporate and trade data from over 250 jurisdictions worldwide. Sayari's solutions enable risk resilience, mission-critical investigations, and better economic decisions. Headquartered in Washington, D.C., its solutions are trusted by Fortune 500 companies, financial institutions, and government agencies, and are used globally by thousands of users in over 35 countries. Funded by world-class investors, with a strategic $228 million investment by TPG Inc. (NASDAQ: TPG) in 2024, Sayari has been recognized by the Inc. 5000 and the Deloitte Technology Fast 500 as one of the fastest growing private companies in the United States and was featured as one of Inc.’s “Best Workplaces” for 2025. Sayari is entering a new phase of technical scale, driven by a wave of AI-native applications and a strategic shift in our data architecture. We are looking for a Cloud Infrastructure Engineer who is a platform builder. In this role, you will work with the Cloud Infrastructure team to build a golden path for our developers, a self-service internal platform that allows teams to ship code securely and quickly without manual operational bottlenecks. You will initially play a critical role in two major initiatives: supporting the infrastructure management of Snowflake and the evolution of our FinOps practice from reactive reporting to proactive governance-as-code. This is a hands-on, high-autonomy role for an engineer who loves to automate complex problems and use modern AI tools to accelerate the velocity. JOB RESPONSIBILITIES • Build the Internal Platform: Evolve our CI/CD ecosystem (GitHub Actions, ArgoCD) into a seamless, self-service platform that supports rapid deployment of microservices and AI-driven applications., • Execute Snowflake Infrastructure: Own the infrastructure side of Snowflake, including account provisioning, access controls, and network architecture, ensuring a solid foundation for our data and application engineering teams., • Automate FinOps Governance: Go beyond monthly reports by implementing "governance-as-code." Write automated policies and scripts that actively manage resource lifecycles, tag compliance, and prevent wasteful cloud spend before it happens., • Advance Infrastructure as Code: Manage and scale our IaC (Terraform), with modular, reusable patterns that allow developers to provision what they need within guardrails., • Support AI Velocity: Ensure our infrastructure can keep pace with the high-velocity creation of AI tools and applications, managing segmentation, dependency connections, and compute scaling efficiently. SKILLS & EXPERIENCE Required Skills & Experience • Deep production experience with GCP or AWS. You understand how to architect for resilience and security in a multi-cloud environment., • Expert-level proficiency with Terraform. You don't just run plans; you write modular, scalable code from scratch., • Hands-on experience building CI/CD pipelines with GitHub Actions and managing deployments using ArgoCD or Flux., • Strong scripting/coding ability in Bash and Python., • Proven experience automating cloud cost controls. You understand how to implement tagging strategies and automated cleanup policies to prevent "bill shock.", • Experience provisioning and securing Snowflake environments from an infrastructure perspective., • Experience using AI tools to accelerate coding, debugging, process automation, and documentation. Desired Skills & Experience • Experience with Terragrunt and Atlantis for advanced IaC workflows., • Familiarity with Elastic Cloud for monitoring and observability., • Experience building or managing Internal Developer Portals (e.g., Backstage). The target base salary for this position is $200,000-$220,000 plus bonus and equity. Final offer amounts are determined by multiple factors including location, local market variances, candidate experience and expertise, internal peer equity, and may vary from the amounts listed above. • 100% fully paid medical, vision, and dental for employees and their dependents, • Generous time off; we observe all US federal holidays, close our office for a winter break (12/24-12/31), in addition to granting 18 PTO days and 10 sick days, • Outstanding compensation package; competitive commissions for revenue roles and quarterly bonuses for non-revenue positions, • A strong commitment to diversity, equity, and inclusion, • Eligibility to participate in additional benefits such as 401k match up to 5%, 100% paid life insurance (up to $100,000 coverage),, and parental leave, • A collaborative and positive culture - your team will be as smart and driven as you, • Limitless growth and learning opportunities Sayari is an equal opportunity employer and strongly encourages diverse candidates to apply. We believe diversity and inclusion mean our team members should reflect the diversity of the United States. No employee or applicant will face discrimination or harassment based on race, color, ethnicity, religion, age, gender, gender identity or expression, sexual orientation, disability status, veteran status, genetics, or political affiliation. We strongly encourage applicants of all backgrounds to apply. Pay Range $200,000 - $220,000 USD

About the Role Hopper's Security team is small by design and consequential by impact- and this role sits at the centre of it. As a Senior Security Engineer, you'll own the tooling, automation, and processes that keep our applications secure across their entire lifecycle, building the systems that make security invisible to developers and unavoidable by default. This is a builder's role in every sense: you'll write code, ship tools, and use AI as a core part of how you work — not as a novelty, but as a force multiplier. What would your day-to-day look like Own and evolve our vulnerability management program with a focus on application security — container images, dependencies, code scanning, and runtime detection Build and maintain security tooling that integrates directly into CI/CD pipelines and developer workflows, so security happens automatically rather than as a gate Use AI extensively to write code faster, automate analyses that would otherwise require manual review, and build intelligent tooling that scales beyond what a small team could achieve manually Assess and improve how we leverage available telemetry across our systems Work directly with engineering teams to influence secure development practices — not by writing standards and documents, but by shipping tools and defaults that make the secure path the easy path Investigate and respond to security findings when needed, but spend more of your time building systems that prevent and detect issues than manually chasing them Adapt quickly as priorities shift — our team is agile and tomorrow's challenge may look different from todays An ideal candidate has At least 5 years experience software and/or platform engineering, with the ability to design, build, and maintain production-quality tools Deep experience in application security and vulnerability management — you understand CVEs, dependency risks, container security, and SDLC integration, and you have opinions about what's worth fixing and what's noise Hands-on experience with cloud infrastructure, ideally GCP/GKE or equivalent, with the ability to adapt to our stack A demonstrated habit of using AI tools — coding assistants, LLMs — as a core part of how you build and analyse, not an occasional shortcut A bias toward automation — when you see a repetitive manual task, your instinct is to write a tool, not a runbook Comfort with ambiguity and ownership — you'll often be the only person on a problem and will need to make judgment calls on priority, approach, and scope without waiting for direction Experience influencing engineering culture around security, knowing how to make developers care without slowing them down Strong written and verbal communication skills, including the ability to articulate our security posture clearly to customers when needed Perks and benefits of working with us Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages. Unlimited PTO. Carrot Cash travel stipend. Access to co-working space on demand through FlexDesk AND Work-from-home stipend. Please ask us about our very generous parental leave, much above industry standards!. Entrepreneurial culture where pushing limits and taking risks is everyday business. Open communication with management and company leadership. Small, dynamic teams = massive impact. 100% employer paid Medical, Dental and Vision coverage for employees. Access to Disability & Life insurance. Health Reimbursement Account (HRA). DCA/ FSA and access to 401k plan. More about Hopper At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. The Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world’s largest brands. Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more. Here are just a few stats that demonstrate the company’s recent growth: Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS’ channels every year. Our fintech products – including Cancel for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions. Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel. Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business. Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more. Come take off with us! #LI-REMOTE

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for contextualizing data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions! • Evaluate simulation test results to drive release & safety decisions., • Work independently with cross functional teams to develop software and system requirements., • Lead team code quality activities including design and code reviews., • Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations., • Provide technical guidance to team members. Success in this role typically requires the following competencies: • Expertise in analyzing high-dimensional simulation data., • Experience building ML prediction models., • Detail-oriented with a focus on validation, testing, and error detection., • Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May., • Excellent problem-solving skills with a meticulous approach to model architecture and optimization., • Ability to provide individual and team mentorship, including technical leadership for complex projects. Required • B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field., • 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning., • Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark)., • Demonstrated expertise in databases for data extraction, transformation, and analysis., • Proven experience building and managing large datasets and evaluations., • Hands-on expertise in architecting and training complex predictive machine learning models., • Prior experience in mentoring and supporting junior engineers. Desirable • Background in Autonomous vehicles, robotics, physics or related fields., • Hands-on experience working with simulation data. Benefits and Perks • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate., • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available., • Rich retirement benefits, including an immediately vested employer safe harbor match., • Generous paid parental leave as well as a phased return to work., • Flexible vacation policy in addition to paid company holidays., • Total Wellness Program providing numerous resources for overall wellbeing Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our _! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range $200,591 - $295,000 USD