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<h3>Job Description</h3>
Job Description
We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions.
As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace.
Position Summary: The Data Science team collaborates closely with the company's Finance, Pricing, and Analytics teams to develop algorithms that create a competitive advantage. The Senior Analytics Engineer is a key member of the Data Science team, building data models and pipelines to support marketing and dynamic pricing strategies for our direct-to-consumer business. Leveraging expertise in data modeling, using Python, SQL, and ETL frameworks (such as airflow, dbt etc.), the Senior Analytics Engineer will apply best practices of software engineering and business intelligence in the production, management, and maintenance of data essential for the company's reporting, data analyzing, and advanced machine learning workflows.
Job Responsibilities:
<ul>
<li>Collaborate with business stakeholders, data scientists, and machine learning engineers to identify, understand, and anticipate data needs, including developing formats for capturing KPIs and designing data structures to support strategic decisions and analytical initiatives.</li>
<li>Design and implement fact and dimension tables optimized for business analysts, enabling efficient reporting and detailed analysis of key business metrics.</li>
<li>Develop and maintain automated production processes for integrating multiple data sources, including validation and verification to ensure data integrity. </li>
<li>Partner with Engineering teams to source data reliably and scalability through automation.</li>
<li>Design, build, and maintain efficient data transformation pipelines and final tables, supporting data governance best practices and data integrity standards.</li>
<li>Research industry best practices in data pipeline design and implement improvements accordingly.</li>
<li>Assist Data Scientists by preparing data sets optimized for feature engineering and modeling efforts.</li>
</ul>
Qualifications: 
<ul>
<li>Bachelors degree with 4 plus years of related professional experience; or an equivalent combination of education and experience.</li>
<li>Expert-level SQL skills. Expert-level to tune query performance and cost. </li>
<li>Expert-level experience with DBT or comparable data transformation frameworks. </li>
<li>Expert-level proficiency with Python and Airflow. </li>
<li>Extensive knowledge of cloud-based big data platforms (BigQuery, Snowflake, Redshift).</li>
<li>Experience developing or directly supporting machine learning models.</li>
<li>Familiarity with AI prompt engineering methods and leveraging AI technologies in analytical workflows. </li>
<li>Familiarity with modern data stack tools, including CI/CD practices, version control (Git), data observability tools (e.g., Monte Carlo, Datafold), and data cataloging/governance platforms</li>
</ul>
Salary Range: $98,000 - $140,000
RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings. 
In Office Policy: Candidates within a commutable distance to one of the offices listed below will be expected to commit to a hybrid in office schedule if selected.
<ul>
<li>Boston, MA</li>
<li>Princeton, NJ</li>
<li>New York City, NY</li>
<li>West Palm Beach, Florida</li>
</ul>

Senior Analytics Engineer

<h3>Job Description</h3>
Job DescriptionOur mission
We're making Africa the first cashless continent.
In 2017, over half the population in Sub-Saharan Africa had no bank account. That's for good reason—the fees are too high, the closest branch can be miles away, and nobody takes cards. Without access to financial institutions, people are forced to keep their savings under the mattress. Small business owners rely on lenders who charge extortionate rates. Parents spend hours waiting in line to pay school fees in cash.
We're solving this by building financial services that just work: no account fees, instantly available, and accepted everywhere. In places where electricity, water and roads don't always work, you can still send money with Wave. In 2017, we launched a mobile app in Senegal for cash deposit, withdrawal, and peer-to-peer and business payments. Now, we have millions of users across six countries and are growing fast.
Our goal is to make Africa the first cashless continent and that's where you come in...
How you'll help us achieve it
Wave is now the largest financial institution in Senegal, with over 7 million users. And, we're still in the early days of our product roadmap and potential impact on people's everyday lives.
As a Site Reliability Engineer at Wave, you will be responsible for ensuring our systems are highly reliable, scalable, and performant to support our rapid growth. You will design, implement, and maintain robust infrastructure and tools to handle millions of transactions daily across multiple countries.
In this role, you'll;
<ul>
<li>Improve system observability through metrics, logging, tracing, and alerting.</li>
<li>Optimize performance and efficiency of backend services and databases.</li>
<li>Automate cloud and datacenter operations and promoting infrastructure-as-code best practices.</li>
<li>Collaborate with product teams to proactively improve the reliability of our services.</li>
<li>Participate in and improve our on-call incident response processes.</li>
<li>Champion security and compliance in our infrastructure.</li>
<li>Scale our ledger to handle 10x transaction volume.</li>
<li>Ensure 99.99% uptime for payment processing despite unreliable infrastructure and communications.</li>
<li>Keep costs stable while we scale.</li>
<li>Detect and block fraud in real-time at a massive scale.</li>
<li>Securely store, transfer, and encrypt sensitive financial data.</li>
<li>Enable instant money transfers for millions of users across several countries</li>
<li>Lead or be involved in the resolution of complex incidents and problems</li>
</ul>
Key Details
<ul>
<li>This is a fully remote role. Candidates must be based in one of our talent hub countries (UK, Spain, USA, Canada, Kenya and Ghana) or in one of our operating markets in Africa including Senegal, Côte d'Ivoire, or Burkina Faso.</li>
<li>Wave provides a yearly $1,200 stipend to support coworking meetups with teammates.</li>
<li>Remote team members are expected to travel to our operational markets (e.g. Senegal or Côte d'Ivoire) at least once a year. Exceptions apply, but we've found this key to understanding our users and product.</li>
<li>This role involves participating in an on-call rotation.</li>
<li>Our salaries are competitive and are calculated using a transparent formula. For this role, we are offering a salary of up to $190,100 USD (paid in your local currency equivalent) plus a generous equity package.</li>
<li>Major benefits: </li>
<ul>
<li>Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country.</li>
<li>6 months fully paid parental leave and subsidized fertility assistance.</li>
<li>Flexible vacation, with most folks taking between 21-30 days exclusive of statutory holidays.</li>
<li>$10,000 annual charitable donation matching.</li>
</ul>
</ul>
Requirements
<ul>
<li>4+ years of experience in an SRE or DevOps role</li>
<li>Solid understanding of networking, distributed systems, and database concepts</li>
<li>Track record of successfully implementing observability, CI/CD, and other SRE best practices</li>
<li>Strong experience with cloud platforms (GCP preferred), Kubernetes, Terraform</li>
<li>Proficiency in at least one backend language, preferably Python</li>
<li>Ability to debug and optimize complex systems</li>
<li>Excellent communication and collaboration skills</li>
<li>Passion for our mission of bringing financial services to underserved markets</li>
</ul>
Bonus points for:
<ul>
<li>Experience supporting high-volume transactional systems in the finance/payments domain</li>
<li>Familiarity with our tech stack (Postgres, Redis, GraphQL, Android/iOS)</li>
<li>Knowledge of security and compliance standards for financial services</li>
<li>Contributions to open-source projects or infrastructure community</li>
</ul>
You might be a good fit if you:
<ul>
<li>Care a lot about working on software whose mission you can believe in</li>
<li>Have a bias for action. You see a problem; you fix a problem. You get buy-in for your solutions and keep tickets moving</li>
<li>Have a growth mindset and a willingness to use your skills and experience to mentor less-experienced engineers</li>
<li>Have the desire to learn from others and make yourself better every day</li>
<li>Are excited to build world-class infrastructure that powers economic opportunity for an entire continent</li>
</ul>
About engineering at Wave
We value:
<ul>
<li>Boring technology</li>
<li>Simple, predictable designs</li>
<li>Deeply understanding our tools and systems</li>
<li>Being tenacious in the face of tricky problems</li>
<li>Constantly trying to improve as engineers and colleagues</li>
</ul>
Our stack (note that we will train you on any of these—you don't need prior experience—and you probably won't work much/at all with the frontend parts):
<ul>
<li>Infrastructure: GCP / Terraform</li>
<li>Orchestration: Kubernetes</li>
<li>Database: Postgres</li>
<li>Cache: Redis</li>
<li>Backend: Python 3 (+ mypy)</li>
<li>API layer: GraphQL</li>
<li>Android frontend: Kotlin/Jetpack</li>
<li>iOS frontend: Swift/SwiftUI</li>
<li>Web frontend: TypeScript/React</li>
</ul>
#LI-REMOTE
Our team
<ul>
<li>We have a rapidly growing in-country team in Senegal, Côte d'Ivoire, Mali, Burkina Faso, The Gambia, and Uganda, plus remote team members spread across the world.</li>
<li>We're deeply passionate about our mission of bringing radically affordable financial services to the people who need them most.</li>
<li>We foster autonomy for our employees. You'll own your projects at every stage, from understanding the problem to monitoring your solution in production.</li>
<li>We raised the largest Series A in Africa in 2021. Our world-class investors, include Founders Fund, Sequoia Heritage, Stripe, Ribbit Capital, Y Combinator, and Partech Africa.</li>
<li>We are on Y Combinator's top companies by revenue.</li>
</ul>
How to apply
Fill out the form below, and upload a resume in English and a cover letter describing your interest in Wave and the role.
We review applications frequently and recommend that you apply to the role that most closely aligns with your skills, experience and career goals.
Wave is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Site Reliability Engineer

<h3>Job Description</h3>
Job 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.
We're on the lookout for an accomplished Senior Data Scientist to join the Data Engineering &amp; Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of StubHub's consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. 
About the Role: As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential.
Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA 
What You'll Do
<ul>
<li>Build and understand modeling related to one of four possible areas at StubHub: Experimentation, Forecasting, Pricing or Customer Acquisition</li>
<li>Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences</li>
<li>Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing</li>
<li>Find and develop your own roadmaps with business partners and carry out project management and execution of your own work</li>
<li>Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups</li>
<li>Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity across your team </li>
</ul>
What You've Done
<ul>
<li>7-11 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred.</li>
<li>Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL</li>
<li>Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn)</li>
<li>Experience in building production level models in cloud environments (e.g., AWS, Azure)</li>
<li>Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have</li>
<li>Passionate about working with non-technical stakeholders to understand, anticipate, and deliver on their data needs </li>
</ul>
What We Offer
<ul>
<li>Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.</li>
<li>Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions.</li>
<li>Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.</li>
<li>Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.</li>
</ul>
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$200,000—$275,000 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.

Senior Data Scientist

<h3>Job Description</h3>
Job Description
Full Stack Engineer 
The Full Stack Engineer at iCapital will work end-to-end on new features, enhancements, and defect resolution on one or more of iCapital's software platforms. You will work closely with our Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found in manual test efforts. 
Responsibilities
<ul>
<li>Web application development in React as front end and Ruby on Rails as a backend. </li>
</ul>
<ul>
<li>Strong grasp of system design, architecture, and trade-offs. Able to mentor junior engineers effectively. </li>
</ul>
<ul>
<li>Participate in architecture reviews and technical design. </li>
</ul>
<ul>
<li>Active participation in daily stand-up meetings </li>
</ul>
<ul>
<li>Active participation in Peer Code Reviews as part of our standard SDLC and Change </li>
</ul>
Candidate Profile
<ul>
<li>5+ years software engineering experience building enterprise SaaS cloud-based solutions </li>
</ul>
<ul>
<li>3+ years of Ruby on Rails development experience </li>
</ul>
<ul>
<li>3+ years of hands-on experience with modern JS frameworks such as React </li>
</ul>
<ul>
<li>2+ years of front end and back-end test automation development using RSpec, Cucumber or similar </li>
</ul>
<ul>
<li>Technical leadership/management experience is a plus </li>
</ul>
<ul>
<li>Demonstrated understanding of relational database concepts and modeling practices. </li>
</ul>
<ul>
<li>Familiarity with cloud-based technologies – K8S, AWS etc. </li>
</ul>
<ul>
<li>Ability to work in an Agile / Kanban methodology </li>
</ul>
<ul>
<li>Ability to work independently or as part of a group effort, as required </li>
</ul>
<ul>
<li>Solid problem-solving ability </li>
</ul>
<ul>
<li>Excellent communication skills </li>
</ul>
<ul>
<li>Collaborative approach to software development </li>
</ul>
Benefits
The base salary range for this role is $130,000 to $160,000 depending on level. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit <a href="https://www.icapitalnetwork.com/about-us" target="_blank">https://www.icapitalnetwork.com/about-us</a> Twitter: @icapitalnetwork | LinkedIn: <a href="https://www.linkedin.com/company/icapital-network-inc" target="_blank">https://www.linkedin.com/company/icapital-network-inc</a> | Awards Disclaimer: <a href="https://www.icapitalnetwork.com/about-us/recognition/" target="_blank">https://www.icapitalnetwork.com/about-us/recognition/</a>
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Full Stack Engineer / Ruby on Rails and React - Assistant Vice President

<h3>Job Description</h3>
Job Description
Who We Are
At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. 
Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. 
The Role:
As a Senior Software Engineer at Moxxi, you'll play a critical role in building the platforms and tools that power our performance marketing engine. From designing intuitive interfaces in our CMS and CRM to scaling backend systems for real time ad delivery and A -driven optimizations, you'll operate across the stack to bring ideas to life. You'll be hands-on with data, APIs, UI components, and machine learning integrations collaborating closely with cross functional teams to solve meaningful business problems through code. If you're passionate about performance, experimentation, and building high impact products in a fast paced environment, this role is for you.
Responsibilities
<ul>
<li>Architect, develop, and maintain scalable and resilient backend systems powering our CMS, AdServer, CMS, CRM, and optimization pipelines.</li>
<li>Build reusable UI components and responsive interfaces that allow marketers to manage, launch, and analyze campaigns with ease.</li>
<li>Build high performance APIs and services that integrate with internal platforms and external ad ecosystems.</li>
<li>Partner with the Account Managers and Operations team to productionize models that drive ad personalization, budget pacing, and bid optimization.</li>
<li>Design and evolve real time and batch data pipelines that support campaign analytics, attribution, and experimentation at scale.</li>
<li>Lead cross functional collaboration with product, design, and business teams to translate requirements into robust software solutions.</li>
<li>Ensure system observability, operational excellence, and uptime across critical infrastructure components.</li>
<li>Mentor junior engineers and contribute to a culture of clean, maintainable, and well-documented code.</li>
<li>Drive technical planning and contribute to the evolution of our platform strategy and long-term architectural vision.</li>
<li>Stay up to date with industry trends in advertising technology, distributed systems, and machine learning and bring relevant innovations into the team.</li>
<li>Take ownership of major initiatives and continuously identify opportunities to improve performance, scalability, and developer experience.</li>
</ul>
Basic Qualifications
<ul>
<li>Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.</li>
<li>7+ years of professional experience building and maintaining production-grade software systems, including significant experience in full-stack development.</li>
<li>Deep experience writing scalable backend services in Go, ideally within microservice-based architectures.</li>
<li>Proficiency in TypeScript, with experience in frontend frameworks such as React or Angular, and building APIs or server-side logic with TypeScript (e.g., Node.js).</li>
<li>Experience designing and integrating RESTful APIs and working with distributed systems.</li>
<li>Familiarity with cloud-native development using Google Cloud Platform (GCP) services, particularly BigQuery and Cloud Run.</li>
<li>Understanding of software engineering fundamentals including system design, data structures, and algorithms.</li>
<li>Strong attention to detail, debugging, and performance optimization skills across the stack.</li>
<li>Excellent communication and collaboration skills; able to work effectively with cross-functional teams, including product, data, and design.</li>
<li>A self-starter mindset with a passion for shipping features, solving real-world business problems, and continuously improving engineering practices.</li>
</ul>
Nice to Have / Bonus Qualifications
<ul>
<li>Master's degree in Computer Science, Engineering, or a related technical field.</li>
<li>Experience in the AdTech industry, especially with ad serving, real-time bidding systems, or content management platforms (CMS)</li>
<li>Familiarity with Ads infrastructure standards</li>
<li>Hands-on experience with data streaming technologies like Apache Kafka, Pub/Sub, or Kinesis.</li>
<li>Knowledge of infrastructure as code tools like Terraform and container orchestration systems like Docker and Kubernetes.</li>
<li>Exposure to non-relational databases (e.g., BigTable, DynamoDB) and caching systems such as Redis or Memcached.</li>
<li>Prior work on cost optimization, performance tuning, or infrastructure efficiency at scale.</li>
<li>Familiarity with AI/ML-powered ad optimizations, A/B testing frameworks, or campaign experimentation systems.</li>
<li>Awareness of ads regulatory trends, user privacy regulations, and legal compliance within digital marketing ecosystems (e.g., GDPR, CCPA, TCPA).</li>
</ul>
Moxxi Values &amp; Competencies
<ul>
<li>Self-Starter – You take initiative and solve problems before they become problems. </li>
<li>Curious &amp; Analytical – You ask why, dig deep into data, and experiment to learn what works. </li>
<li>Efficiency-Oriented – Fast, focused, and action-driven. </li>
<li>Relationship-Focused – You build trust and deliver value. </li>
<li>Organized Multitasker – You thrive in fast-paced, high-velocity environments. </li>
<li>Strategic Communicator – You translate performance into insight and insight into action. </li>
</ul>
 Salary Range: $175,000 - $225,000 + equity 
Salary Range$175,000—$225,000 USD

Senior Software Engineer

<h3>Job Description</h3>
Job Description
About Parento
Parento is the first provider for paid parental leave, distributing the first and only paid parental leave insurance and parental support program. Our holistic program enables companies to offer paid maternity and paternity leave to all employees.
Designed to support working parents while alleviating HR's workload, Parento's white glove leave concierge handles the complexities of leave management, payroll calculations, compliance, and claims, while providing emotional and parent coaching for employees. Our proprietary program boasts a 95% return-to-work rate and guides employees through the process before, during, and after leave to ensure a seamless re-onboarding.
About the Role
We're seeking a driven, curious, and detail-oriented Software Engineer to join our growing engineering team. This role is ideal for someone with strong skills in PHP, Laravel, and VueJS, that's eager to contribute to real-world SaaS products and platforms. You'll work on core systems powering our customer-facing web portal and backend infrastructure while shaping the future of a modern insurance-based program.
What You'll Do
<ul>
<li>Develop, test, and maintain scalable backend services that power an enterprise customer portal using PHP and the Laravel framework.</li>
<li>Build and enhance frontend interfaces using Tailwind CSS and VueJS, ensuring responsive, user-friendly design.</li>
<li>Collaborate closely with our product manager, designers, VP of Engineering, and other internal stakeholders to turn requirements into robust features</li>
<li>Work on SaaS-based architecture, helping optimize performance, maintainability, reliability and scalability.</li>
<li>Participate in code reviews, sprint planning, and system design discussions. Comfortable using AI code-generation tools (Cursor AI, Claude, Copilot, etc.)</li>
<li>Assist in integrating, training and applying machine learning algorithms or big data pipelines to production workflows</li>
<li>Contribute to improving the developer experience, CI/CD processes, and internal tools that help with developer productivity</li>
</ul>
Technical skills and experience
<ul>
<li>Solid proficiency in PHP, Laravel, and VueJS</li>
<li>Academic or hands-on experience working on SaaS products and web portals</li>
<li>Exposure to or interest in big data processing and machine learning concepts</li>
<li>Familiarity with version control systems (e.g., Git), REST APIs, and databases like MySQL or MariaDB. Familiarity with analytics tools such as Metabase.</li>
<li>Familiarity with a cloud-based architecture that spans multiple public clouds (AWS, Digital Ocean, Google Cloud).</li>
<li>Excellent written communication skills (we collaborate a LOT on email &amp; Slack).</li>
</ul>
Preferred (But Not Required)
<ul>
<li>Prior freelance or full-time work experience in Fintech or InsurTech industries</li>
<li>Certification on using any public cloud platform (e.g., AWS, GCP, Azure)</li>
<li>Experience with data pipelines or ML frameworks (e.g., TensorFlow, Spark)</li>
<li>Certification in Kubernetes (Certified Kubernetes Application Developer - CKAD)</li>
<li>Comfortable working on WordPress and CMS platforms like Statamic or Ghost</li>
</ul>

Software Engineer

<h3>Job Description</h3>
Job 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.
About the Opportunity
We're seeking an accomplished Staff Machine Learning Infrastructure Engineer to join StubHub's Data Engineering &amp; Analytics team as a high-impact individual contributor focused on machine learning infrastructure and real-time inference systems. You'll architect and build the foundational ML platforms that power recommendation systems, pricing optimization, and personalization across StubHub's product. 
As a Staff-level IC, you'll operate as a technical force multiplier, setting technical direction for ML infrastructure across the organization. You'll lead through influence rather than management, advocating for long-term technical progress while balancing organizational needs. Your work will span strategic initiatives measured in months and years, focusing on high-leverage technical decisions that enable entire teams to be more effective. 
Location: Hybrid (3 days in office/2 days remote) – New York, NY or Los Angeles, CA Strategic NeedWe have increasing needs to scale our machine learning capabilities to power personalized experiences, dynamic pricing, and intelligent recommendations across our platform. Our current ML infrastructure requires modernization to support real-time inference at scale, improve feature engineering workflows, and enable faster model deployment and iteration cycles. Additionally, we need to create the foundational data model along with the corresponding data pipelines, and build shared tooling to ease the process of developing and operating high quality trustworthy data assets. What You'll Do
As a Staff Enginner focused on ML Infrastructure, you'll work across four key dimensions: 
Setting Technical Direction
<ul>
<li>Architect ML infrastructure strategy that aligns technical approaches across Data Science, ML Engineering, and Platform teams </li>
<li>Drive consensus on technical vision for feature stores, inference services, and model lifecycle management </li>
<li>Advocate for long-term technical progress while balancing immediate organizational needs </li>
<li>Establish architectural patterns that become standards across StubHub's ML ecosystem </li>
</ul>
Core ML Infrastructure &amp; Exploration
<ul>
<li>Prototype and investigate ambiguous, high-impact ML infrastructure problems </li>
<li>Build production-grade inference services with sub-100ms latency, intelligent caching, and 99.9% uptime SLAs </li>
<li>Design model lifecycle management systems including versioning, A/B testing, rollback capabilities, and performance monitoring </li>
<li>Modernize recommendation systems from legacy SQS-based architecture to scalable, real-time streaming solutions </li>
<li>Explore innovative solutions outside standard approaches for complex ML infrastructure challenges </li>
</ul>
Technical Leadership &amp; Mentorship
<ul>
<li>Provide engineering perspective in high-level organizational discussions about ML strategy </li>
<li>Mentor engineers across the platform, actively sponsoring promising team members </li>
<li>Inject technical context into critical decision-making processes </li>
<li>Lead complex technical initiatives spanning multiple teams and quarters </li>
</ul>
Being the "Glue"
<ul>
<li>Connect different team efforts to ensure ML infrastructure initiatives succeed </li>
<li>Handle behind-the-scenes work that keeps critical ML projects moving forward </li>
<li>Expedite high-priority ML infrastructure needs across the organization </li>
<li>Ensure important strategic work gets completed even when it spans team boundaries </li>
</ul>
What You've Done
<ul>
<li>8+ years of relevant software or data engineering development experience in a fast-paced, high growth environment </li>
<li>3+ years of experience with machine learning infrastructure, MLOps, or ML platform engineering </li>
<li>Proven track record of setting technical direction and leading complex, multi-team initiatives </li>
<li>Strong programming and analytical ability with expertise in Python, Scala, or Java, and infrastructure-as-code </li>
<li>Experience with feature store services and how they interoperate between batch and live inference systems </li>
<li>Experience with live inference services including caching, SLAs, and performance optimization for production ML workloads </li>
<li>Experience with model lifecycle management including versioning, A/B testing, and rollback capabilities </li>
<li>Experience with streaming systems (Spark, Kafka) and how they relate to overarching ML platform architecture </li>
<li>Experience with cloud-based ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML </li>
<li>Experience mentoring engineers and establishing technical best practices across teams </li>
</ul>
Staff-Level Capabilities
<ul>
<li>Technical leadership through influence rather than formal management authority </li>
<li>Strategic thinking with ability to balance long-term technical vision with immediate organizational needs </li>
<li>Cross-functional collaboration skills to work effectively with Data Science, Product, and Engineering teams </li>
<li>Communication skills to inject technical context into high-level organizational discussions </li>
<li>Problem-solving approach for ambiguous, high-impact technical challenges </li>
<li>Mentorship and sponsorship experience growing junior and mid-level engineers </li>
</ul>
Nice to Have
<ul>
<li>Experience with real-time recommendation systems and personalization platforms at scale </li>
<li>Knowledge of ML model serving frameworks (TensorFlow Serving, TorchServe, Seldon, etc.) </li>
<li>Experience with A/B testing frameworks and experimentation platforms </li>
<li>Experience with distributed computing frameworks (Ray, Dask, etc.) </li>
<li>Knowledge of ML security and privacy considerations</li>
<li>Track record of technical writing or speaking at conferences about ML infrastructure </li>
</ul>
What We Offer:
<ul>
<li>Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.</li>
<li>Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions.</li>
<li>Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.</li>
<li>Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.</li>
</ul>
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$300,000—$350,000 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.

Staff Machine Learning Infrastructure Engineer

<h3>Job Description</h3>
Job 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.
StubHub is seeking Senior Software Engineers in iOS to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. In order to ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive place to work. As a Senior Software Engineer, you will also be an advocate and mentor for your team members, displaying leadership qualities and being an example for those around you. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA About the teamThe Consumer Experience (CX) team is responsible for the end-to-end product experience for fans looking to discover, buy, and sell tickets to their favorite live events through our web and mobile platforms. It sits at the forefront of fulfilling StubHub's mission to become the global destination for accessing live event experiences by crafting the product experience that millions of fans interact with every day. We are obsessed with understanding our users' needs and delivering feature innovations, both short-term and long-term, that are as effective as they are enjoyable. We serve a global fan base and aim to deliver a localized experience that feels personalized to every individual in over 60 regions and 30 languages. We believe that diversity of thought and transparency of impact breed the best innovations, which is why we are a cross-functional team of specialists in product, design, engineering, and data working closely together with equal voice in ideation and equal access to insights. We work across the entire stack leveraging any tool or technology necessary to support web and mobile feature innovation at scale.What You'll Do:
<ul>
<li>Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes</li>
<li>Collaborate with team members to ensure best practices across our code</li>
<li>Manage individual initiative priorities, deadlines, and deliverables with your technical expertise</li>
<li>Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity </li>
</ul>
What You've Done:
<ul>
<li>5-6+ years of professional experience in software development </li>
<li>Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (Swift or Objective-C)</li>
<li>Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy</li>
<li>Previous experience designing and developing solutions to complex problems with significant business impact</li>
<li>A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives</li>
<li>Exposure to React Native</li>
<li>Proven ability to learn other coding languages, platforms, frameworks, and tools</li>
<li>Experience owning projects from the initial idea all the way to production</li>
<li>Experience mentoring junior engineers</li>
</ul>
What We Offer:
<ul>
<li>Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.</li>
<li>Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions.</li>
<li>Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.</li>
<li>Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.</li>
</ul>
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$200,000—$275,000 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.

Senior Software Engineer (iOS) - Consumer Experience

<h3>Job Description</h3>
Job DescriptionAbout Us Nourish is on a mission to improve people's health by making it easy to eat well. Nutrition-related chronic disease is the largest and most overlooked crisis in the world. Food can be medicine: working with a Registered Dietitian is one of the most effective interventions available, but &lt;1% of eligible Americans use their covered benefits.Nourish is building an AI-native, patient-friendly healthcare system centered on nutrition that improves outcomes, lowers costs, and helps people live healthier, longer lives. We launched three years ago, are live in all 50 states, and already have thousands of dietitians and hundreds of thousands of patients on the platform.We are growing quickly, have partnered with national health insurance companies and provider groups, and have raised $115M from top-tier VCs including JP Morgan Growth Equity, Thrive Capital, Index Ventures, Y Combinator, Maverick Ventures, Box Group, Atomico, G Squared, and Pinegrove Venture Partners. Our angel investors include world-class healthcare founders from Oscar, Rightway Health, Headway, Spring Health, and Alto Pharmacy, as well as soccer star Alex Morgan and the founders from Olipop and Notion.Learn more about us here and read about our recent Series B here.About the Role:
Reporting to our Head of Engineering, and as a key early member of Nourish's engineering team, you'll play a pivotal role in shaping the future of our core platform. Working side-by-side with engineering, product, and design, you'll drive the development of critical features that will lay the foundation for years to come. You'll take full ownership of major parts of the codebase, setting ambitious timelines and leading project deliverables. Your contributions will be essential in bringing our product roadmap to life and building scalable technology to transform interactions with patients, dietitians, and insurance companies.
This role is full-time and open to remote or onsite/hybrid out of Nourish's NYC office in the heart of Union Square.
Our tech stack: React / React Native, Typescript, NodeJS / Express, TailwindCSS, Prisma, PostgreSQL, AWS / AppRunner
Check out 'Engineering at Nourish' to learn more about our team!
Key responsibilities:
<ul>
<li>Design, build, and ship cutting-edge products and features at lightning speed without compromising on quality.</li>
<li>Drive continuous improvements in our engineering processes, tools, and systems to scale both our codebase and team productivity.</li>
<li>Contribute to the estimations, planning and execution of projects, features, and integrations.</li>
<li>Maintain and elevate our existing codebase.</li>
<li>Write clean, fully-tested, high-performance code that sets the standard for excellence.</li>
</ul>
We'd love to hear from you if you:
<ul>
<li>Have 5+ years industry experience as a software engineer</li>
<li>Have 2+ years experience with our tech stack, and/or are confident you can cross train and up skill quickly where needed.</li>
<li>Do your own stunts and ship fast. You like to build and ship new things, can independently take a project from idea through implementation, and run toward hard problems.</li>
<li>Think work should feel like play. You value a close-knit team and care about having a lot of fun (and impact) at work.</li>
<li>Want to be deeply involved in product and design. You are not only passionate about engineering but also have a desire to build a product end-to-end, through the design, coding, testing, and deployment phases. We're an early-stage startup where product, design, and engineering are closely intertwined.</li>
</ul>
More InformationMission &amp; Vision &amp; SuccessNourish Clinical PhilosophyValuesWhy Nourish ExistsTeamCompensation &amp; Benefits How We Work

Software Engineer (Senior/Staff)

<h3>Job Description</h3>
Job DescriptionJoin Our Team as a Clinical Data Abstractor at Carta Healthcare!
Company: Carta Healthcare Inc. Position: Flexible Schedule Clinical Data Abstractor Location: 100% Remote (Non-Benefit Position)
Are you experienced in clinical data abstraction? 
Carta Healthcare Inc. is seeking talented individuals to join our growing team as Part-Time Clinical Data Abstractors!
Join our team at Carta Healthcare, where we offer opportunities for experienced clinical data abstractors. We offer a flexible work schedule that allows for a balanced work-life experience. 
About Us:
At Carta Healthcare, we are revolutionizing the way healthcare data is managed and used with innovative software solutions.
Position Overview:
As a Part-Time Clinical Data Abstractor, you will be responsible for abstracting and coding patient information from medical records to meet the requirements of various target registries. 
What We're Looking For:
<ul>
<li>Minimum of 1 year of recent clinical data abstraction experience</li>
<li>Proficiency with EMR systems</li>
<li>Maintain a 98% or higher IRR score</li>
<li>Previous remote work experience preferred </li>
<li>Available for a minimum of 60 abstraction hours monthly</li>
</ul>
Why Join Us?
<ul>
<li>Flexible part-time hours non-benefit - W2 employee </li>
<li>Hourly rate $28-$32</li>
<li>100% remote</li>
<li>Laptop provided for Carta abstraction</li>
</ul>
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. All applicants are required to reside within the continental United States. 
Carta Healthcare is dedicated to building a diverse and inclusive company because we serve health systems across the country; we've seen how our product and impact are strengthened the more we reflect that diversity. In addition, we have found and strongly believe that diverse teams are higher-performing, and we embrace the varied perspectives that our team members share with each other. As such, we are an Equal Opportunity Employer. 
#LI-Remote #BI-Remote

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