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Job DescriptionJob DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Software Engineering Manager to help lead the Business Systems team. In this role, you will guide a team of engineers responsible for building and maintaining the internal systems and integrations that power WHOOP's operations. You will partner closely with business partners across Finance, Operations (Supply Chain, Manufacturing, Quality, Logistics), Membership Services, and other teams to ensure our systems are scalable, reliable, and delivering the capabilities the business needs. By balancing hands-on technical contributions with people leadership, you will ensure that WHOOP's business systems evolve to support growth and efficiency at scale. On the technical side, you will work closely with product management and analytics teams to successfully enable your team to deliver. You will support the team in developing their features' technical designs, architecture, and operational excellence needs. You will ensure that the engineering team performs at a high level. You will be instrumental in guiding your team to innovate and maintain our high standards of reliability, flexibility, security, and user sentiment. On the people management side, you will manage and mentor a team of engineers, provide regular performance feedback, and ensure professional development and growth. You will work to foster a culture of innovation, teamwork, psychological safety, and continuous learning. You are responsible for promoting a positive and results-focused work environment where all team members feel valued and empowered to do their best work.RESPONSIBILITIES: Guiding and managing a team of engineers responsible for developing and maintaining internal capabilities Partner with cross-functional leaders to understand business needs and translate them into scalable technical solutions Drive the technical roadmap and execution for Business Systems, ensuring systems are reliable, secure, and aligned with company goals Oversee the design, development, and maintenance of backend services, APIs, and integrations that support core business functions Establish and reinforce engineering best practices, including code quality, testing, documentation, and operational monitoring Act as a player-coach by contributing technically when needed, while ensuring the team's overall delivery and growth Advocate for and prioritize automation and process improvements to increase efficiency across WHOOP QUALIFICATIONS: BS in Computer Science, Engineering, or equivalent experience 7+ years of professional software engineering experience, with 2+ years in an engineering management role Strong technical background in backend engineering, with proficiency in a modern programming language (e.g., Python, Java, Go) Experience with APIs, integrations, and business systems workflows Experience with cloud infrastructure (e.g., AWS, GCP, or Azure) and distributed system design Proven track record of leading high-performing engineering teams and delivering complex technical projects Experience collaborating with stakeholders across business and technical teams to drive alignment and execution Strong communication skills and ability to influence at multiple levels of the organization Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.

Job DescriptionJob Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit to see how we empower creators to own their own destiny. Senior AI Platform Engineer At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business. As a Senior AI Platform Engineer, you'll play a key role in designing and scaling the backend systems that power our AI products and agent solutions. This backend-heavy role gives you opportunities to influence architecture, async processing, and distributed systems. You'll collaborate closely with product managers, ML engineers, and data scientists to deliver real-world impact at scale. This role is hybrid and based in Boston. How you'll make a difference: Design and build backend systems to scale AI solutions for 167K+ customers. Contribute to our agentic architecture to support performant AI agents. Build tools to tune LLM-based features, deploy agents, MCP and RAG in production, and evaluate performance using tools like Arize, OpenAI, Bedrock, LangChain, vLLM and Ray. Develop reliable, scalable data pipelines and APIs for AI systems. Foster a culture of ownership, experimentation, and customer-first thinking. Who You Are: We encourage candidates to apply even if they do not meet all the qualifications listed. AI Ops is a rapidly evolving space and we are all constantly learning! 5+ years of experience as a backend software engineer, building scalable, distributed systems. Strong experience working in production environments and launching ML/AI projects. Hands-on experience with generative AI and agentic AI applications in production. Proficient in Python (or similar). Comfortable collaborating with cross-functional technical partners. Curious, proactive, and eager to learn. Nice to Have: Experience with big data tools (e.g., Apache Spark, Ray). Familiarity with cloud infrastructure (AWS, Terraform, Kubernetes). Knowledge of ML frameworks (Huggingface, PyTorch, TensorFlow, Keras). We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000-$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators-ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionJob Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring. Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters. Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows). Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost). Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models. Collaborate with researchers to productionize models and accelerate training/inference pipelines. Establish ML Ops best practices, internal standards, and cross-team tooling. Mentor engineers and influence architectural direction across the entire AI platform. What Were Looking For Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected). Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure). Proficiency with Python and familiarity with TypeScript or Go for platform integration. Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding) Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling). Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries. Ability to lead technical strategy, collaborate cross-functionally, and operate in fast-paced environments Bonus Points Experience deploying and operating LLMs and generative models in production at enterprise scale. Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code. Experience optimizing GPU clusters, scheduling, and distributed training frameworks. Prior startup experience or comfort operating with ambiguity and high ownership. Experience working with data engineering, feature pipelines, or real-time ML systems. Why This Role Will Pivot Your Career Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions. Customer impact: Deploy AI solutions powering Fortune 500 clients. Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave). Funding & growth: Oversubscribed seed round, next funding in 2026. Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale. Culture & autonomy: Own critical systems while collaborating with world-class engineers. Aspirational impact: Solve AI performance challenges few engineers ever face. Benefits Competitive salary & equity options Sign-on bonus Health, Dental, and Vision 401k Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job DescriptionJob Description Location: Waltham, MA (hybrid- 3 days In-Office) ERGO NEXT's mission is to help entrepreneurs thrive. We're doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you'll find ERGO NEXT. Since 2016, we've helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We're backed by industry leaders in insurance and tech, and we still have room to grow - that's where you come in. What You'll Do Design, implement, and optimize backend services that power machine learning-driven features in production environments Design and build backend systems that serve machine learning models in production, with a focus on performance, reliability, and scalability Ensure model predictions are observable and measurable, enabling evaluation using metrics such as precision, recall, and business impact Collaborate with product and cross-functional teams to refine requirements, prioritize high-impact problems, and translate them into clear technical solutions Contribute to system design, architecture reviews, and code quality improvements Diagnose and resolve complex issues across backend services, data pipelines, and model inference systems, including identifying gaps in model performance and system behavior Support innovation and continuous improvement by identifying opportunities and driving technical initiatives What We Need 5+ years of backend engineering experience in Python Proven experience building high-performance or distributed systems Experience deploying and serving machine learning models in production systems, including building inference pipelines and integrating model outputs into backend services Experience evaluating model performance using metrics such as precision, recall, or other business-relevant measures Strong understanding of cloud infrastructure, microservices, and observability, including logging and monitoring systems to track model predictions and system performance Ability to operate effectively under ambiguity and navigate dynamic environments Strong communication and collaboration skills This role focuses on building and operating production systems that leverage machine learning models. It is not primarily focused on model research, experimentation-only workflows, or prompt engineering. We are hiring for multiple AI Engineers. US annual base salary ranges for this full time position are as follows: AI Engineer (IC1): 2+ Years of Experience: $105,000-$142,000 AI Engineer (IC2): 3+ Years of Experience: $127,000-$171,000 AI Engineer (IC3): 4+ Years of Experience: $152,000-$206,000 AI Engineer (IC4): 10+ Years of Experience: $196,000-$265,000 Note on Fraudulent RecruitingWe have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO Next Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of ERGO Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (), or you can contact your local law enforcement agency. The range displayed on this job posting reflects the minimum and maximum target for new hire base salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. ERGO NEXT employees are also potentially eligible for our annual performance-based incentive program, in addition to our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more. US annual base salary range for this full-time position: $105,000-$265,000 USD Don't meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job DescriptionJob DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology monitors vital physiological metrics to provide personalized insights that improve fitness, health, and recovery. As a Software Engineer I, you will contribute to the design, development, and maintenance of the services that power WHOOP's core product experiences. You will work closely with experienced engineers, product managers, designers, and data scientists to build scalable, reliable systems that deliver meaningful insights to our members. This is a growth-oriented role ideal for engineers who are excited to learn, ship high-quality code, and make an impact in a fast-paced, mission-driven environment. This posting is for an immediate new hire to our team. For those graduating in the fall of 2026 seeking entry level roles, we kindly ask that you check out this New Grad Opportunities job posting instead to be considered for roles opening at that time. Thank you.RESPONSIBILITIES: Contribute to the development and maintenance of backend services and APIs that power WHOOP's member-facing features using technologies such as Java, Kafka, Postgres, and AWS. Collaborate with cross-functional partners across Product, Design, Data Science, and Engineering to translate requirements into well-scoped technical solutions. Write clean, maintainable, and well-tested code while participating in code reviews to continuously improve engineering quality and standards. Support the operation and monitoring of production systems, helping to troubleshoot issues and ensure reliability, scalability, and performance. Break down feature requirements into actionable tasks, identify risks early, and iterate quickly to deliver value to members. Contribute to technical documentation and knowledge sharing to support team velocity and long-term maintainability. QUALIFICATIONS: Professional experience in backend software development (internship, co-op, or academic project experience acceptable). Experience building or interacting with RESTful APIs and relational databases (e.g., Postgres or similar SQL-based systems). Proficiency in an object-oriented programming language such as Java, or demonstrated ability to quickly learn new backend technologies. Familiarity with version control systems such as Git and standard development workflows. Understanding of fundamental computer science concepts including data structures, algorithms, and system design basics. Interest in distributed systems, event-driven architectures (e.g., Kafka or similar technologies), and cloud platforms such as AWS. Strong problem-solving skills and a growth mindset, with a willingness to seek feedback and continuously improve. Effective communication skills and the ability to collaborate within a cross-functional team environment. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success. The U.S. base salary range for this full-time position is $105,000 - 145,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.

Job DescriptionJob DescriptionJob Title: Platform Full Stack Engineer Location: Boston, Chicago, New York City, San Francisco, Silicon Valley, Washington DC Number of openings: 1 Experience: 7+ years of experience as a Software Engineer Salary: $185,000-$195,000 + Strong Annual Bonus Clearance: Secret (prefer TS) Role Overview We are looking for a seasoned Full Stack Engineer to contribute to the development of a next-generation AI platform powering advanced, data-driven solutions. This role offers the opportunity to work on cutting-edge generative AI technologies within a highly collaborative and fast-paced engineering environment. You will partner with a diverse group of engineers, data specialists, and product stakeholders to design and deliver scalable platform capabilities. A key focus of this position is adapting and extending platform functionality for government and defense-oriented applications. Key Responsibilities Design, develop, and maintain full-stack applications using Python, React, and Next.js Build and integrate APIs and agent-based systems, including AI-driven and LLM-powered workflows Leverage large language models (LLMs) for data processing, retrieval, and intelligent synthesis Collaborate with cross-functional teams including engineers, data scientists, and product leaders Implement robust testing, debugging, and code optimization practices Contribute to the development of confidence scoring and validation pipelines for AI outputs Develop and maintain CI/CD pipelines to support efficient software delivery Work with knowledge graphs (Neo4j) and relational databases such as PostgreSQL or cloud-managed equivalents Deploy and manage applications across cloud environments (AWS preferred; Azure and GCP are a plus) Utilize containerization technologies to support scalable and portable deployments Stay current with advancements in generative AI and agentic architectures, applying best practices to platform development What You'll Gain Hands-on involvement in building advanced AI and GenAI-driven platforms A high-performance engineering culture with strong mentorship and growth opportunities Continuous learning through structured programs and real-world technical challenges The opportunity to influence product direction and contribute innovative solutions Collaboration with globally distributed, highly skilled teams Competitive compensation and a comprehensive benefits package Required Qualifications U.S. Citizenship is required Experience supporting defense or government environments, including handling classified data Active Secret clearance required (Top Secret or higher preferred) 7+ years of professional experience in software engineering Prior experience working on enterprise-scale platforms is preferred Technical Skills & Expertise Strong proficiency in Python for backend development Hands-on experience building full-stack applications using React and Next.js Experience with AI agents / agentic systems and LLM-based application design Familiarity with knowledge graphs (Neo4j) and relational databases (PostgreSQL or cloud equivalents such as Amazon RDS) Experience designing and managing CI/CD pipelines Understanding of confidence scoring mechanisms and validation pipelines in AI systems Experience working with cloud platforms (AWS, Azure, GCP) Knowledge of containerization technologies (e.g., Docker) Strong problem-solving skills and ability to work effectively in a collaborative, cross-functional environment

Job DescriptionJob DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. We handle massive amounts of data continuously streaming up to the cloud from people improving their health and wellness to the world's greatest sports teams and athletes mandating a fault-tolerant and highly available product. The Connectivity Software Team builds the critical link between WHOOP hardware, the iOS app, and the cloud. As an iOS Software Engineer on this team, you'll design and implement the software that enables WHOOP's wearable sensors to communicate seamlessly with the mobile platform. You'll develop and optimize connectivity experiences that are robust, efficient, and invisible to the member - ensuring reliable data flow across our entire ecosystem.RESPONSIBILITIES: Design, implement, and maintain iOS application components that interface directly with WHOOP hardware over Bluetooth Low Energy (BLE), Wi-Fi, or other communication protocols. Develop background and system-level iOS services that ensure reliable device connectivity, synchronization, and data transfer. Leverage Swift and Combine to build resilient, efficient, and maintainable reactive pipelines for connectivity and data management. Collaborate closely with embedded firmware, mobile, and cloud engineers to diagnose and resolve issues across a distributed system. Drive continuous improvement of performance, power efficiency, and reliability in the WHOOP connectivity layer. Champion strong software architectural principles for testable, scalable, maintainable software on your own team and across the organization. Document new features and architecture using Jira, Confluence and preparing code using Github feature, develop, and master branches. Participate in the release process, including getting the app built, managing build variants, signing, sending and testing through Firebase, and submitting to the App store. QUALIFICATIONS: BS or MS in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience. 3+ years of professional iOS software engineering experience with a solid foundation in Swift, iOS system APIs, concurrency, and memory management. Hands-on experience with Combine and background task processing for non-UI iOS features. Demonstrated examples applying architectural and platform-based software design principals to build scalable, modular, testable software. Experience debugging and diagnosing issues across complex or distributed systems (for example: firmware, mobile, backend) is a strong plus. Excellent collaboration and communication skills with a focus on cross-functional problem solving. Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements. Learn more about WHOOP.

Job DescriptionJob DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. Protecting our members' data and ensuring our systems scale securely and reliably is core to this mission. The Application Infrastructure team enables iOS, Android, Backend, and Web engineers to reliably and quickly deliver new features to members. We own and operate critical shared infrastructure, including Kubernetes and Kafka, and build the tooling and guardrails that allow teams across WHOOP to ship safely at high velocity. As a Senior DevOps Engineer on the AppInfra team, you will play a key role in driving large-scale architecture projects, collaborating with cross-functional teams to design and implement infrastructure that is highly scalable, resilient, and secure. You will build systems that help increase the safety of deployments to Kubernetes while also increasing the velocity of releasing new features. You will be responsible for ensuring optimal performance and stability for the entire software delivery pipeline. You will help set the direction of the AppInfra team to impact engineers across all WHOOP technology stacks. RESPONSIBILITIES Design, develop, and operate WHOOP's Kubernetes clusters running on AWS infrastructure Drive architectural decisions to improve scalability, resiliency, performance, and security across the build and deployment platform Build systems and tooling that increase deployment safety and accelerate release velocity to Kubernetes Advance CI/CD capabilities to support frequent, reliable production deployments Lead developer productivity improvements through tooling, automation, and platform integrations Partner with application, security, and data teams to embed secure-by-default infrastructure practices Participate in incident response, root cause analysis, and postmortems to continuously improve platform reliability Mentor and provide technical leadership to engineers on the Application Infrastructure team Help define and execute the long-term roadmap for infrastructure and Kubernetes management at WHOOP QUALIFICATIONS: 5+ years of experience in DevOps, Platform, Site Reliability, CloudEngineering, or Backend Software Engineering roles Deep understanding of Kubernetes architecture and core components Strong knowledge of container networking concepts, including overlay networking, service meshes, and network policies Experience with multi-cluster Kubernetes environments and inter-cluster communication patterns Hands-on experience operating cloud infrastructure, preferably in AWS (e.g., IAM, VPC, EC2, S3, RDS, CloudTrail, Organizations) Hands-on experience with Infrastructure as Code tools (e.g. Terraform) Experience developing backend or infrastructure-adjacent services using Java, C#, or Python Proven ability to evaluate system performance, identify bottlenecks, and use data to drive improvements Experience collaborating with multiple stakeholders and prioritizing work for maximum business impact BONUS QUALIFICATIONS: Experience operating Kafka or other large-scale distributed systems Experience with Kubernetes security best practices, including RBAC, secrets management, and pod security standards Exposure to service reliability practices such as SLOs, SLIs, and error budgets Prior experience supporting compliance or security-focused infrastructure initiatives ABOUT YOU: You bring a security-first mindset to everything you build and operate You enjoy working on infrastructure that enables hundreds of engineers to move faster You're comfortable operating in complex, high-scale production environments You enjoy teaching, mentoring, and raising the technical bar for those around you You're curious, adaptable, and excited to learn across a wide range of systems and technologies Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.

Anticipated salary for the position: $265,000 - $285,000 per year; full-time. Responsibilities: Write, test, and deploy production-quality software systems across the technology stack, including backend infrastructure, data pipelines, and user-facing applications. Architect and implement scalable, distributed systems and large-scale data management solutions to support Auxias AI-driven platform. Participate in and lead design discussions, setting high-level engineering direction and ensuring alignment with long-term product vision. Translate complex business requirements into robust technical solutions by collaborating with cross-functional teams, including product, data science, and UI/UX. Conduct systematic code reviews and enforce engineering best practices to maintain code quality and reliability. Triage, diagnose, and resolve complex product or system issues to ensure high availability and reliability of mission-critical software. Analyze system performance and implement optimizations to improve efficiency, scalability, and security. Mentor junior engineers, provide technical guidance, and foster a culture of continuous learning and excellence. Develop, document, and promote engineering best practices, including educational content to enhance team productivity. Stay current with emerging technologies and recommend adoption of innovations that align with Auxias technical vision and business goals. The position requires a Bachelors degree, or foreign equivalent, in Computer Science, Computer Engineering, Software Engineering or a related field. The position also requires five (5) years of experience in job offered or in a computer-related occupation. Professional and/or academic experience must include: Writing and testing production systems; Reviewing code and providing feedback; Leading design discussions and reviews to set high-level engineering direction; Triaging production systems and customer issues. 10% International travel to collaborate with Engineering team. Must be authorized to work in the United States. Sponsorship and/or relocation are not available for this position. Applicants should email resume/cover letter to . Must reference REQ when applying.

Job DescriptionJob Description We are sharing a specialised part-time consulting opportunity for experienced Software Engineers with strong backgrounds in backend systems, frontend development, product engineering, and scalable technical infrastructure. This role supports current and upcoming remote consulting opportunities focused on structured technical workflows, product development, technical evaluation, and high-quality project execution. Selected professionals will apply their software engineering expertise to build scalable backend services, support modern frontend experiences, contribute to workflow automation systems, follow technical instructions with precision, and contribute to high-quality technical deliverables. Key Responsibilities Professionals in this role may contribute to: Product & Platform Development Develop and enhance software systems that support large-scale workflow operations Implement modern frontend experiences using React and related frameworks Build and maintain backend services supporting scheduling, transcription, and workflow automation Design scalable systems that support high-volume operational workflows AI Integration & Workflow Innovation Collaborate across technical teams to integrate AI-assisted functionality into workflow systems Help implement systems for automated feedback, quality checks, and summarization Support the development of tools that improve usability, efficiency, and operational consistency Cross-Functional Collaboration Work closely with Product Managers, Designers, and Data Scientists to deliver end-to-end product experiences Contribute to the full product lifecycle from ideation to launch Participate in code reviews and maintain high engineering standards Ideal Profile Strong candidates may have: Bachelor's degree in Computer Science, Computer Engineering, or a related technical field 4+ years of software engineering experience with languages such as Java, C++, or C# Experience with scripting languages such as Python, JavaScript, or PHP Proficiency with modern frontend frameworks such as React, Vue, or similar technologies Strong problem-solving skills and ability to work independently on complex technical challenges Excellent communication skills and experience collaborating with cross-functional teams Preferred Qualifications Experience working with AI-powered development tools such as Cursor, Claude Code, or similar platforms Familiarity with GraphQL and modern API design patterns Experience integrating AI or machine learning models into production systems Experience building scalable web applications and distributed systems Background in recruiting technology, HR systems, or enterprise productivity platforms Why This Opportunity Apply software engineering expertise to high-impact technical work Contribute to product development, workflow automation, and scalable infrastructure initiatives Collaborate with cross-functional teams across engineering, product, and data Gain experience working with advanced technologies in production environments Contract Details Independent contractor role Fully remote with flexible scheduling Competitive hourly compensation Expected collaboration during ET or PT working hours Competitive rates between $90-$110 per hour depending on expertise Opportunity to work closely with engineering teams on high-impact infrastructure projects Weekly payments via Stripe or Wise Projects may be extended, shortened, or concluded early depending on project needs and performance Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy:

Job DescriptionJob Description Location: New York, NY Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Staff Machine Learning Engineer to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization - it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. Design and build production ML systems end-to-end - including data pipelines, model training workflows, evaluation frameworks, and inference serving. Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. Partner closely with product and backend engineers to integrate ML into customer-facing systems. Write production-quality code within the existing codebase and contribute to architectural decisions. Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For 8+ years of experience building ML systems in production environments. Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. Comfortable working across the stack - infrastructure, backend systems, and data platforms. Demonstrated ability to mentor engineers and elevate technical standards within a team. High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points Experience building ML systems for security, fraud detection, or adversarial environments. Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). Background in real-time inference systems or high-throughput distributed systems. Experience making strategic build vs. buy infrastructure decisions. Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. Leadership path: Opportunity to evolve into Head of ML as the organization scales. Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits Competitive salary & equity options Health, Dental, and Vision 401k Hybrid flexibility Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job DescriptionJob Description Backend Developer Location: (Springfield, VA possibly Hybrid) Clearance Required: TS/SCI, eligible to obtain a TS/SCI CI Poly Salary Range: $155,000 to $170,000 (Based on Experience) Position Overview Our client is seeking an experienced Backend Developer to support a high priority software development initiative for the National Geospatial Intelligence Agency (NGA). In this role, you will help design, build, and deliver a modern, browser based application that manages Plans of Action and Milestones (POA&Ms) as part of the Risk Management Framework (RMF) process; directly supporting security audits, vulnerability assessments, and compliance tracking across mission systems. Youll work within a modern, cloud native environment hosted in AWS, where your backend expertise will be essential to ensuring system reliability, performance, and secure data management for a mission critical federal program. What You'll Do Design, develop, and maintain scalable backend services using Node.js Build and optimize RESTful APIs for integration with frontend components and external systems Architect and manage SQL based data storage solutions (RDS, Redshift) Leverage AWS services-including Lambda, Glue, S3, EC2-to support application functionality, data pipelines, and distributed workflows Implement DevSecOps practices, including CI/CD pipelines, automated testing, and secure deployment patterns Collaborate closely with frontend engineers, DevOps teams, cloud architects, and security personnel Ensure backend components align with RMF, secure coding standards, and federal compliance requirements Participate in Agile ceremonies such as sprint planning, backlog refinement, and peer code reviews Troubleshoot, debug, and optimize backend performance across cloud environments Tech Stack Node.js, SQL, AWS (Lambda, Glue, Redshift, RDS, EC2, S3), Docker, Python, JavaScript Required Qualifications Active TS/SCI clearance Bachelor's degree in Computer Science, Engineering, or related field 5+ years of backend development experience Strong SQL development skills, including performance tuning and complex query design Experience with Python and JavaScript Experience building data pipelines and distributed workflows in AWS Strong understanding of secure coding practices, cloud security, and RMF aligned development Hands on experience with Docker, Kubernetes, or OpenShift, and containerized application development Excellent debugging, analytical, and problem solving abilities Preferred Qualifications Experience with AWS IAM, KMS, or other security focused cloud services Knowledge of POA&M workflows, cybersecurity compliance, or federal audit processes Familiarity with infrastructure as code tools (Terraform, CloudFormation) Experience working in high security or intelligence community environments After onboarding, the program may allow some telework, but expect to be on-site.

Job DescriptionJob Description We are sharing a specialised part-time consulting opportunity for experienced software engineers with strong backgrounds in distributed systems, backend infrastructure, cloud environments, and production-grade systems engineering. This role supports current and upcoming remote consulting opportunities focused on structured technical workflows, distributed systems engineering, technical evaluation, and high-quality project execution. Selected professionals will apply their software engineering expertise to design and optimize backend infrastructure, support scalable distributed services, collaborate across technical workflows, follow technical instructions with precision, and contribute to high-quality technical deliverables. This opportunity is especially well-suited to engineers with strong backend and systems expertise who are comfortable building reliable distributed services and supporting high-performance runtime environments. Key Responsibilities Professionals in this role may contribute to: Distributed Systems & Infrastructure Engineering Design, build, and optimize distributed infrastructure across high-performance compute environments Evaluate and improve system performance across compute, networking, storage, and service layers, identifying and resolving bottlenecks Implement monitoring, observability, and fault-tolerance mechanisms for long-running processes and distributed workflows Backend Systems Development Develop core backend systems including services, APIs, and orchestration layers that support complex technical workflows Build and maintain runtime infrastructure including task scheduling, state management, inter-service communication, and execution reliability Support production-grade infrastructure for scalable backend systems and distributed application behavior Technical Collaboration & Iteration Collaborate closely with technical teams to integrate backend services, infrastructure workflows, and production systems Participate in synchronous collaboration sessions to review architecture decisions, troubleshoot distributed systems, and iterate on design improvements Help shape foundational systems that support scalable, reliable technical operations Ideal Profile Strong candidates may have: A strong foundation in Computer Science, Software Engineering, or Systems Design with experience building large-scale distributed systems Proficiency in one or more backend or systems programming languages such as Go, Rust, Python, C++, Java, Scala, C#, Kotlin, or TypeScript / JavaScript Experience with cloud infrastructure such as AWS, GCP, or Azure Experience with containerization and orchestration tools such as Docker and Kubernetes Strong experience designing production-grade backend services, APIs, and distributed systems Excellent collaboration and communication skills Preferred Qualifications Familiarity with advanced backend infrastructure, workflow orchestration, or high-scale runtime environments Knowledge of networking, data streaming, caching, and performance optimization in distributed systems Strong comfort working across both systems engineering and infrastructure contexts Ability to operate effectively in fast-moving, technically demanding environments Why This Opportunity Apply specialised distributed systems and backend engineering expertise to high-impact technical work Contribute to scalable infrastructure, backend services, and production engineering workflows Work on practical, detail-oriented assignments with strong real-world relevance Collaborate across technical teams on challenging problems in scalability, reliability, and system performance Contract Details Independent contractor role Fully remote with flexible scheduling Hourly compensation of $110-$175 per hour Expected commitment of 30-40 hours per week Participation in synchronous collaboration sessions is required, with 4-hour windows 2-3 times per week Projects may be extended, shortened, or concluded early depending on project needs and performance Weekly payments via Stripe or Wise Work will not involve access to confidential or proprietary information from any employer, client, or institution Please note: We are unable to support H1-B or STEM OPT candidates at this time Start date: Immediate About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy:

Job DescriptionJob Description Location: New York, NY Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Staff Machine Learning Engineer to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization - it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. Design and build production ML systems end-to-end - including data pipelines, model training workflows, evaluation frameworks, and inference serving. Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. Partner closely with product and backend engineers to integrate ML into customer-facing systems. Write production-quality code within the existing codebase and contribute to architectural decisions. Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For 8+ years of experience building ML systems in production environments. Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. Comfortable working across the stack - infrastructure, backend systems, and data platforms. Demonstrated ability to mentor engineers and elevate technical standards within a team. High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points Experience building ML systems for security, fraud detection, or adversarial environments. Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). Background in real-time inference systems or high-throughput distributed systems. Experience making strategic build vs. buy infrastructure decisions. Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. Leadership path: Opportunity to evolve into Head of ML as the organization scales. Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits Competitive salary & equity options Health, Dental, and Vision 401k Hybrid flexibility Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job DescriptionJob Description Location: New York, NY Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Staff Machine Learning Engineer to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization - it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. Design and build production ML systems end-to-end - including data pipelines, model training workflows, evaluation frameworks, and inference serving. Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. Partner closely with product and backend engineers to integrate ML into customer-facing systems. Write production-quality code within the existing codebase and contribute to architectural decisions. Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For 8+ years of experience building ML systems in production environments. Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. Comfortable working across the stack - infrastructure, backend systems, and data platforms. Demonstrated ability to mentor engineers and elevate technical standards within a team. High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points Experience building ML systems for security, fraud detection, or adversarial environments. Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). Background in real-time inference systems or high-throughput distributed systems. Experience making strategic build vs. buy infrastructure decisions. Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. Leadership path: Opportunity to evolve into Head of ML as the organization scales. Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits Competitive salary & equity options Health, Dental, and Vision 401k Hybrid flexibility Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Tennis Channel is building a high-quality Direct-to-Consumer (DTC) streaming platform across mobile, hybrid, and living room devices. As we scale, we need someone who can own and elevate our test automation infrastructure, embedding intelligence and AI support into our QA workflows. As the SDET, you'll be the first test automation engineer responsible for architecting and building automation frameworks, integrating AI/ML tools for test generation or validation, and ensuring high-quality releases across iOS, Android, hybrid (React Native), and backend systems. You'll set up the foundation of how we ship software reliably across platforms, collaborating deeply with product, development, and operations to ensure we release with confidence. You'll bring creativity to quality; leveraging AI, automation, and tooling to dramatically reduce manual effort; while having strong ownership within a small, agile team where your decisions and contributions directly impact product quality. In this early-stage environment, you'll also help define the culture of engineering and quality as we build a world-class streaming experience from the ground up. This role is onsite and located in Seattle, WA. Key Responsibilities Lead design, implementation, and maintenance of test automation frameworks, tools, and infrastructure across platforms (mobile, hybrid, backend, APIs). Build tools, scripts, or capabilities using AI / ML-assisted test generation, test case optimization, or anomaly detection to improve coverage and reduce manual effort. Create and own test suites: unit, integration, UI, end-to-end, regression, performance, load, and stress tests. Integrate test automation into CI/CD pipelines, gate builds, and automate release validations. Collaborate with mobile, hybrid, and backend engineers to define testing strategies, API contracts, failure modes, and observability for testability. Instrument test environments, monitor test health, coverage, flakiness, and reliability metrics. Design test data management, mocking, virtualization, and service simulation setups for cross-system testing. Continuously improve test architecture, reduce test execution times, and scale for parallel / distributed test runs. Troubleshoot production / pre-production issues that surface via automated test failures; investigate root causes, define fixes, and improve resilience. Stay up-to-date on AI / ML tooling (e.g. GPT-based test generation, self-healing tests, anomaly detection) and propose adoption strategies. Basic Qualifications Bachelor's degree in computer science, engineering, or equivalent experience 5+ years of software engineering or QA/automation experience, with strong emphasis on test automation Proficiency in at least one programming language (e.g. Java, Kotlin, Swift, Python, JavaScript/TypeScript) Experience building and maintaining test frameworks (e.g. XCTest / XCTest UI, Espresso, Detox, Appium, Playwright, Selenium, Robot Framework, etc.) Familiarity with CI/CD, test runners, parallel / distributed execution (e.g. Jenkins, GitHub Actions, Bitrise, CircleCI) Deep understanding of API testing, contract testing, mocking / stubbing, and test data strategies Experience with performance/load testing tools (e.g. JMeter, Gatling, K6, Locust) and monitoring test metrics Strong debugging and instrumentation skills Understanding of software engineering best practices: modular architecture, maintainability, observability, and reliability Preferred Qualifications Experience applying AI / ML in testing, e.g. test-case generation, self-healing scripts, anomaly detection Experience with mobile / hybrid / TV / living room test stacks (iOS, Android, React Native, tvOS) Experience in media / streaming apps, where video, DRM, adaptive bitrate streaming, and edge conditions matter Experience with performance / load testing on streaming pipelines Familiarity with infrastructure as code, containerization, and cloud test environments Knowledge of monitoring, logging, tracing, and how to incorporate them into test validation Experience optimizing test execution time, flakiness, and parallel scaling Passion for quality, automation, and developer productivity Tennis Channel is proud to be equal opportunity employer and a drug free workplace. Employment practices will not be influenced or affected by virtue of an applicant's or employee's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, military or veteran status or any other characteristic protected by law. About PickleballTV Pickleballtv (PBTV) is the 24-hour television home of America's fastest growing sport. With coverage of tournaments throughout the year, the network offers 1,000+ hours of live matches from the game's top professionals and biggest stars. PBTV also provides viewers with first-class instruction, exclusive lifestyle programming and studio news content and more. About Tennis Channel Tennis Channel is the media home to two twenty-four-hour television networks, a subscription streaming service, online magazine and podcasts dedicated to the sport and its unique lifestyle. The tennis-media hub is home to every aspect of the wide-ranging, worldwide tennis community. Tennis Channel is carried nationwide by every one of the top ten pay-TV service providers. About Sinclair Sinclair, Inc. (Nasdaq: SBGI) is a diversified media company and a leading provider of local news and sports. The Company owns, operates and/or provides services to 178 television stations in 81 markets affiliated with all major broadcast networks; owns Tennis Channel, the premium destination for tennis enthusiasts; multicast networks CHARGE, Comet, ROAR and The Nest. Sinclair's AMP Media produces a growing portfolio of digital content and original podcasts. Additional information about Sinclair can be found at . About the Team The life-blood of our organization is our people. We have a compelling story, a goal-oriented culture, and we take really good care of people. How good? Here is a glimpse: great benefits, open-door policy, upward mobility and a strong desire to see you succeed. Ready to be part of a winning team? Let's talk. The base salary compensation range for this role is $120,000 to $155,000. Final compensation for this role will be determined by various factors such as a candidates' relevant work experience, skills, certifications, and geographic location. Full time positions are eligible for benefits that include participation in a retirement plan, life and disability insurance, health, dental and vision plans, flexible spending accounts, sick leave, vacation time, personal time, parental leave and employee stock purchase plan.

DivIHN (pronounced "divine") is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent. Visit us at to learn more and view our open positions. Please apply or call one of us to learn more For further inquiries about this opportunity, please contact our Talent Specialist, Ragu, at Title: Full Stack Software Engineer (Java/Kotlin, Angular) - Remote Duration: 12 Months with potential to extend and to convert to full-time Location: Remote Schedule: Monday Friday, 8 AM 5 PM or 9 AM 6 PM PST Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered. Description: Participate in daily stand-ups, sprint planning, and retrospectives as part of an agile team. Design, develop, and maintain UI and APIs for client centralized account and consent management system Ensure APIs are scalable, low-latency, and fault-tolerant to meet business and customer needs. Build responsive frontend and backend applications using modern frameworks and technologies such as Spring Boot, Java, and Kotlin. Write and maintain unit tests, integration tests, and end-to-end tests using frameworks like JUnit, Mocha, and Karma. Design and optimize database schemas and queries to ensure efficient data storage and retrieval. Collaborate with cross-functional teams to integrate design, development, testing, and quality control. Ensure code quality and reliability through continuous testing and code reviews. Use tools like Kubernetes (K8s) and Helm for orchestration and management of containerized applications. Ensure secure access to APIs and data. Set up and maintain CI/CD pipelines using tools like GitHub Actions. Automate build, test, and deployment processes to ensure rapid and reliable delivery of software. Monitor and optimize the performance of data pipelines and APIs. Identify and resolve bottlenecks to ensure high availability and responsiveness. Document API specifications, design decisions, and development processes. Collaborate with team members, stakeholders, and partners to gather requirements and provide technical support Troubleshoot issues and fix bugs quickly Summary: The main function of a Software Engineer is to design, develop, implement, test, and maintain business and computer applications software or specialized utility programs, including mainframe and client/server applications, and major enhancements of existing systems. Job Responsibilities: Fine-tune and improve a variety of sophisticated software implementation projects. Gather and analyze system requirements, document specifications, and develop software solutions to meet client needs and data. Analyze and review enhancement requests and specifications. Implement system software and customize it to the client's requirements. Prepare the detailed software specifications and test plans. Code new programs to the client's specifications and create test data for testing. Modify existing programs to new standards and conduct unit testing of developed programs. Create migration packages for system testing, user testing, and implementation. Provide quality assurance reviews. Perform post-implementation validation of software and resolve any bugs found during testing. Position Overview This is a hands-on Full Stack Developer role, not a leadership or managerial position. The ideal candidate should be passionate about learning, product development, continuous improvement, and collaborating closely with QA to ensure high quality product releases. Candidate will work on both front end and back end development within a modern cloud and microservices environment. Skills Java or Kotlin server-side development experience is the most important skill. Experience working with REST APIS, Message Bus (Kafka or Pubsub), and SQL/NOSQL Database is the 2nd most important skill. RESTful Go services Argo CD Bonus Skills: Spring Boot or another Java web framework experience, FHIR, Unit / Integration testing, and performance monitoring experience. Meet the team: Data Platform team builds low-latency, fault-tolerant data pipelines and APIs to meet various business and customer needs. Your role will involve building APIs for customer onboarding, account management, hospital /partner integrations, and CGM Data exchange. This team manages the identity and authentication platform for client products. The focus is on building secure, scalable, and user-friendly authentication services. Candidate will work closely with a tech lead, UI/UX designers, and a squad team. Where you come in: You will develop cloud-based software systems (APIs and Websites) as part of a multi-disciplinary team that works with an Agile methodology and integrates design, development, testing, and quality control. What makes you successful: You bring with you rich experience developing full-stack applications Comfortable being part of an agile team that builds components as part of a distributed environment You must be proficient in building responsive frontend and backend applications using modern frameworks and technologies. - Spring Boot, NodeJS, Express You possess strong Programming skills in one of the following languages: Kotlin, Java, JavaScript/Typescript You are an expert at developing web applications with Angular or another modern JavaScript framework You have previously worked with a NoSQL (Cassandra, MongoDB, DynamoDB) or RDBMS (MySQL, Postgres, Oracle) You understand and practice TDD / BDD using modern software test methodologies and frameworks like Junit, Mocha, Karma You know how to containerize an application using Docker and deploy to the cloud You possess fair knowledge of authentication/authorization concepts such as OAuth, OpenID, and SSO Other preferred bonus skills: GitHub Actions, Helm, K8s, Google Cloud Platform Required Skills (top 3 non-negotiables): 1. Programming in Java / Kotlin 2 years minimum 2. REST APIs and Angular 3. RDBMS Preferred Skills (nice to have) 1. Containerization and GCP or AWS 2. Keycloak 3. Spring Boot, Karate/Playwright Testing Framework Software Skills Required: Mobile app dev (iOS Android ideal, but iOS only is acceptable), backend dev Other preferred bonus skills: Github Actions, Helm, K8s , Google Cloud Platform Qualifications: A bachelor's degree in a technical field such as computer science, computer engineering, data/software engineering, or a related field is required. 2-4 years of experience required. A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design, large systems software design and development experience. Experience performing in-depth troubleshooting and unit testing with both new and legacy production systems, experience in programming, and experience with problem diagnosis and resolution. Interview: 3 rounds total - Round 1: Coding assessment. Additional rounds: Technical Panel Interview Web Conference (Zoom/Teams). About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status. Java, Angular, RDBMS, REST APIs, Kotlin

STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. This role is for a Software Engineer with a strong foundation in Golang who will help design, build, and support scalable, low-latency distributed systems. The engineer will contribute to backend services supporting streaming and media workflows while collaborating closely with product and engineering teams. This position is ideal for someone with 3-5 years of experience who is eager to grow, be mentored, and evolve technically. The role has a direct impact on delivering high-quality, reliable audio and video experiences. Location & Work Type Location: New York, NY Work Type: Hybrid (onsite 4 days per week) Key Responsibilities Build, enhance, and support backend services using Golang for real-time and large-scale distributed systems. Develop and maintain cloud-based services and content delivery platforms using AWS. Support live events and linear streaming channels to ensure reliability and performance. Collaborate with Product Owners and cross-functional teams to translate requirements into scalable technical solutions. Optimize video encoding, packaging, and delivery pipelines to ensure premium audio and video experiences. Continuously improve processes, tooling, and system performance through ongoing learning and optimization. Manage and maintain cloud-based infrastructure and services supporting streaming workflows. Qualifications Required: Bachelor's degree or equivalent in Computer Science, Information Technology, or related field 3+ years' experience in software development and web technologies. Proficiency with languages such as GoLang, NodeJS, TypeScript, React etc. Technical experience with cloud-based technologies, specifically within architecture/infrastructure (AWS) Experience in building real-time, large-scale, low-latency distributed systems Familiar with CI/CD pipelines and large-scale deployment Deep understanding of OO Design Principles and Patterns. Embrace open-source technologies Understanding of containerization as it relates to Cloud (Kubernetes, Docker) Key understanding of technology principles and work methods (Agile, Scrum, etc.) Preferred (Optional): Experience working with digital video workflow and operations, and digital video technology development Understanding of playback protocols such as DASH, CMAF/HLS Knowledge with Server Side Ad insertion (SSAI), transcoding and packaging Knowledge of OTT video delivery pipelines including basic networking concepts, source origination, video ingest & encoding, and packing including encryption and DRM Benefits Medical coverage and Health Savings Account (HSA) through Anthem Dental/Vision/Various Ancillary coverages through Unum 401(k) retirement savings plan Paid-time-off options Company-paid Employee Assistance Program (EAP) Discount programs through ADP WorkforceNow Additional Details The base range for this contract position is $73.33 - $83.33 / per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered. About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at ; and reach out today to explore opportunities to grow together! By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.

Backend Java Engineer (AI-Driven SaaS Platform) Location: Remote (U.S. only) Preference for Denver, Atlanta, NYC Metro, Austin or Silicon Valley Experience: 7+ Years Employment Type: Full-Time Must live in the US About the Role We re partnering with a fast-growing, venture-backed SaaS company transforming regulatory compliance through an AI-powered platform. Their technology captures, monitors, and archives communications across modern channels including messaging apps, social media, email, and voice to help organizations meet strict regulatory requirements efficiently and securely. This is a high-impact opportunity to join a collaborative engineering team building scalable, secure backend systems in a modern cloud environment. What You ll Do Design, build, and maintain cloud-native backend services using Java and modern frameworks Develop and enhance RESTful APIs, event-driven systems, and data pipelines Contribute to system architecture and technical design decisions Write clean, scalable, and maintainable code with strong testing practices Collaborate with product and engineering teams to translate business needs into technical solutions Participate in code reviews, debugging, performance optimization, and system improvements Help improve observability, deployment processes, and system reliability Work on distributed systems handling high-volume, sensitive data What You Bring 7+ years of backend software engineering experience Strong expertise in Java and Spring Boot Experience building scalable backend systems and microservices architectures Solid understanding of REST APIs, distributed systems, and event-driven architecture Hands-on experience with relational databases (PostgreSQL or similar) Experience with messaging systems (e.g., Kafka or similar) Familiarity with cloud platforms (AWS preferred) Strong problem-solving skills and ability to work in a fast-paced environment

Job DescriptionJob Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. The Fulfillment team ensures that every ticket delivered is valid. We own the post-purchase flow; including barcode integrations, mobile wallets, partner APIs, inventory reconciliation, observability, and incident response, with a mission of zero fulfillment breakage and a seamless experience for fans and sellers. As an Software Engineer II, you'll build end-to-end post-purchase flows, partner integrations that directly drive reliability improvements and measurable business impact at massive scale. Location: Hybrid (3 days in office/2 days remote) - New York, NY or Century City, CA What You'll Do: Design, implement, and operate backend services and integrations powering the post-purchase fulfillment pipeline (barcode validation, mobile wallets, partner APIs, & inventory reconciliation). Build 0-to-1 fault-tolerant systems and async pipelines (queues/streaming) that scale for peak event traffic and ensure idempotent, reliable delivery. Own features end-to-end: from requirements and architecture to implementation, testing, deployment, monitoring, and runbooks. Collaborate cross-functionally with Product, Data, and QA, as well as two Operations partners: Active Support: enhances the post-purchase customer experience and builds tools for fans and support agents. Marketplace Operations: drives inventory quality and supply across events. Instrument services with robust observability: metrics, logs, distributed traces, and alerting to proactively detect and reduce fulfillment breakage. Why You'll Love This Team: Fast-Paced, Ambiguous Engineering Culture: Thrive in an environment that encourages bold experimentation, rapid iteration, and innovative problem-solving. Exposure to AI-Driven Experiences: Work on real-world products that integrate AI-powered functionality, shaping the way fans interact with our platform. Meaningful Product Impact: Build the technological backbone of our marketplace, delivering reliable, scalable systems that power millions of ticket transactions and directly reduce post-purchase failures. Collaborative Engineering Environment: Join a team of talented engineers who value thoughtful execution, shared ownership, and celebrating wins together. Continuous Feedback and Growth: Enjoy a culture centered on regular, constructive feedback to refine your technical skills, deepen your product judgment, and grow as an engineer. What You've Done: 3-4 years building production software with a focus on backend and distributed systems. Proficient in Java, Python, or Golang, with experience building and consuming APIs. Built scalable, reliable systems for real-time ticketing, barcode validation, and post-purchase workflows. Designed async pipelines and streaming systems (Kafka or similar) to handle peak traffic with zero breakage. Integrated third-party APIs, with bonuses for experience in venue systems, barcode providers, or mobile wallets. Operated cloud services (AWS, GCP, Azure), delivering features that improve reliability and power seamless experiences at scale. What We Offer: Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale. Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact. Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed. Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$165,000-$200,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world from sports to music, comedy to dance, festivals to theater StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.