Role Description Aortic stenosis impacts millions of people globally, yet it often remains under-diagnosed and under-treated. Edwards’ groundbreaking work in transcatheter aortic heart valve replacement (TAVR) pioneered an innovative, life-changing solution for patients by offering heart valve replacement without the need for open heart surgery. Our Transcatheter Heart Valve (THV) business unit continues to partner with cardiologists and clinical teams to transform patient care with devices supported by clinical evidence. It’s our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey. As the Manager, Commercial Data & Analytics Engineering, you will focus on designing and building pipelines and providing guidance into enriching data to meet the needs of our analytics team. Your role will enable data for the team to consume and generate business insights. Working closely with AI engineers, you will also build data pipelines to support AI cases. How you’ll make an impact: - Design, build and maintain data pipelines for ingestion, transformation, and delivery across cloud data platforms. - Follow standards and best practices for source code control, documentation, and data governance. - Implement robust data quality and metadata management processes. - Automate workflows for reliability, scalability, and observability. - Design, build & maintain curated data products, including models for forecasting, account insights, and executive dashboards. - Build and maintain semantic layers and metric definitions to ensure consistency and usability across teams. - Publish governed, certified datasets for BI tools; design dashboards and KPI packs that drive decision-making. - Enable self-service analytics through reusable data assets and clear documentation. - Partner with stakeholders to define metrics and visualization standards. - Prepare data for AI use cases (semantic models, metadata enrichment & governance, etc.) - Define governance and guardrails for safe AI integration. - Collaborate on AI-driven analytics experiences, such as natural language query over governed datasets. - Partner with the AI/ML Engineer to provide ML-ready features and pilot/operationalize AI use cases that enhance analyst productivity and business insights. - Collaborate and build strong partnerships with stakeholders and cross-functional teams to understand requirements and deliver effective solutions. - Partner with IT to execute technical solutions, ensuring all work aligns with enterprise IT frameworks, standards, and integration requirements. - Bring a self-driven, curious mindset to the team; proactively identify opportunities to improve processes, challenge existing approaches, and drive innovation. Qualifications - Bachelors Degree in related field with 8 years of previous related work experience or equivalent work experience based on Edwards criteria, or - Master’s Degree with 6 years of previous related work experience or equivalent work experience based on Edwards criteria - Clinical experience (e.g., cardiology, clinics) or equivalent work experience based on Edwards criteria Requirements - Proven expertise in SQL, Python & data modeling skills - Experience with data lake, data mesh & data as product concepts - Experience with Cloud data platforms (AWS stack, Databricks/ Snowflake), modern transformation tools (dbt, AWS Glue, Fivetran, etc.) & source code management (Git) - Experience with BI & visualization tools (Tableau, PowerBI, Thoughtspot) - Excellent written and verbal communication skills and interpersonal relationship skills including consultative and relationship management skills - Good understanding of sales & commercial workflows - Strict attention to detail - Ability to interact professionally with all organizational levels and proactively escalate issues to appropriate levels of management in the organization - Ability to manage competing priorities in a fast-paced environment - Interacts with team members and other managers and may include vendors - Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control Benefits - Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families. - For California, the base pay range for this position is $121,000 to $171,000 (highly experienced). - The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Company Description Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities. COVID Vaccination Requirement: Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.

Description The Customer Quality Engineering Manager at Hyper Solutions is responsible for leading Hyper’s customer quality function and ensuring effective resolution of product and service quality issues impacting customers. This role oversees customer complaint management, root cause investigations, and corrective actions to improve product performance and customer satisfaction. This position plays a critical role in protecting customer relationships and strengthening product reliability as Hyper scales. The Customer Quality Engineering Manager works cross-functionally with service, engineering, operations, and sales teams to resolve issues quickly, reduce recurring problems, and implement long-term improvements. Core Responsibilities - Lead the Customer Quality Department and oversee resolution of customer-reported quality issues. - Manage customer complaint investigations and ensure timely resolution of quality concerns. - Lead root cause analysis investigations in partnership with engineering and operations teams. - Implement corrective and preventive actions to reduce recurring product or service quality issues. - Monitor customer complaint trends and drive improvement initiatives to improve product performance. - Partner with service, engineering, and sales teams to ensure effective communication and resolution of customer concerns. - Represent Hyper in customer discussions related to quality issues when required. Additional Responsibilities - Quantify the financial impact of customer quality issues and support improvement initiatives. - Develop and maintain reporting systems and dashboards to track customer quality metrics. - Manage multiple quality investigations and projects simultaneously in a fast-growing environment. - Support continuous improvement initiatives related to product reliability and customer satisfaction. - Provide leadership, mentoring, and direction to the customer quality team. What You’ll Be Doing Day-to-Day - Reviewing customer complaints and coordinating investigations with engineering and service teams. - Leading root cause analysis using structured problem-solving methodologies. - Tracking corrective actions and ensuring resolution timelines are met. - Monitoring quality trends and identifying systemic improvement opportunities. - Communicating issue status and corrective actions to internal teams and customers. - Preparing reports and dashboards for leadership review. Requirements - Bachelor’s degree in Engineering, Quality, Manufacturing, or related technical field. - Experience managing customer quality issues and complaint resolution in technical or manufacturing environments. - Experience leading root cause investigations and implementing corrective actions. - Experience working cross-functionally with service, engineering, and sales teams. - Strong analytical, problem-solving, and project management capabilities. Preferred - Experience using structured quality tools such as 8D, 5 Whys, Fishbone diagrams, FMEA, Pareto analysis, PDCA, or SPC. - Experience supporting infrastructure, manufacturing, or technical product environments. - Experience building quality reporting systems and dashboards. Why Hyper? Hyper Solutions is building next-generation infrastructure solutions for rapidly growing data center and compute environments. This role provides the opportunity to work closely with engineering, service, and operations teams to improve product reliability and strengthen customer partnerships. You’ll play a key role in solving complex customer issues, driving product improvements, and building scalable quality systems as Hyper continues to grow. Hyper offers competitive benefits, including medical, dental, vision, and 401(k), along with opportunities for career advancement. Location Onsite in Richmond, VA, or remote, depending on candidate location and business needs. Travel Expected travel up to 30% annualy. Compensation The anticipated minimum hiring range for this role is $125,000 -$135,000 per year. Actual salary varies due to factors that may include but not limited to relevant experience, skills, certifications, and location. This hire will be eligible for a discretionary bonus or incentive compensation. Variable compensation may depend on various factors, such as individual and organizational performance. Hyper Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other protected status under applicable laws. All applications will be used exclusively for selection purposes and handled confidentially by authorized personnel only. Your application may also be considered for other suitable positions within Hyper Solutions, Inc. Please note that Hyper Solutions is currently unable to offer visa sponsorship, and applicants must be authorized to work in the U.S. without the need for sponsorship now or in the future.

Role Description We're building the infrastructure layer that makes risk in tokenized finance machine-readable, onchain, and composable: an AI-driven risk scoring engine, a cross-chain risk protocol, and an institutional-grade analytics platform. The technical challenges include: - Ingesting and normalizing onchain and offchain data at scale - Running statistical risk algorithms on a hybrid database architecture - Streaming real-time market signals - Serving everything through a multi-portal institutional platform - Embedding an AI/ML pipeline deeply in engineering workflows, including AI-assisted coding across the team We're hiring a Head of Engineering to own and scale this function, leading day-to-day execution, stabilizing core infrastructure, and growing team velocity. You'll work directly with the CTO and Head of AI to turn a big technical vision into reliable, production-grade systems. Our Stack: - AWS EC2/EKS/ElastiCache/Amplify/Kinesis/SageMaker - Python - Laravel - Nuxt.js - PostgreSQL - MongoDB - Qdrant - Claude - Cursor - Langdock - GitHub - Jira - Confluence - SonarQube Tasks: - Own the engineering team - run all 1:1s, manage performance, unblock engineers, and drive accountability across frontend, backend, and cloud infrastructure. - Stabilize and scale core infrastructure - identify and resolve critical gaps in our existing systems, establish engineering standards, and build toward a resilient, production-grade architecture. - Drive delivery - translate product and business priorities into clear engineering roadmaps, sprint structures, and shipping cadences. - Coordinate with the Head of AI - ensure smooth integration between the AI pipeline and the broader platform infrastructure, from data ingestion to API delivery. - Build engineering culture - introduce the right processes (code review, incident response, documentation, testing) without creating bureaucracy. - Hire and grow the team - own recruiting, onboarding, and team composition decisions in close alignment with the CTO. - Represent engineering in leadership discussions - bridge the gap between technical reality and business expectations. Qualifications - 7-12 years in software engineering, with 3+ years in an engineering leadership role owning a team directly (not just tech lead). - Proven track record managing and growing small-to-mid-size engineering teams in a fast-moving startup environment. - Strong full-stack understanding: backend systems, frontend delivery, cloud infrastructure (AWS), and API design. - Experience inheriting and stabilizing broken or scaling infrastructure - not just greenfield builds. - Excellent people manager: you do 1:1s properly, give direct feedback, and create clarity in ambiguous environments. - Strong communicator upward (founders/CTO) and downward (engineers) - you translate between vision and execution fluently. - Highly structured and process-oriented, but pragmatic - you ship, then you improve. - Entrepreneurial by nature: you build, you own, you drive. - Bonus: familiarity with data-heavy platforms, analytics infrastructure, or financial/fintech products. - Bonus: exposure to blockchain or Web3 infrastructure. Benefits - Offsites with the team in exciting locations - Flexible working hours in a company that relies on remote work - Exciting product in a very dynamic market environment as well as founding-level ownership of a key growth function. - Values-based start-up culture - Many opportunities to develop further and network with committed people - Flat hierarchy Company Description Particula is the prime rating provider for digital assets, transforming on- and off-chain data into actionable insights. The company delivers next-generation risk ratings and comprehensive analyses, across technical, economic, governance, and compliance dimensions – providing the clarity and confidence needed to navigate the complexities of digital finance.

Hi, we're Particula - the prime rating provider for digital assets. Our mission is to make digital asset markets more accessible, secure, and transparent for institutional investors. Join us and shape the infrastructure powering the future of tokenized finance. 👋 About the Role We're building the infrastructure layer that makes risk in tokenized finance machine-readable, onchain, and composable: an AI-driven risk scoring engine, a cross-chain risk protocol, and an institutional-grade analytics platform. The technical challenges are ingesting and normalizing onchain and offchain data at scale, running statistical risk algorithms on a hybrid database architecture, streaming real-time market signals, and serving everything through a multi-portal institutional platform - all with an AI/ML pipeline deeply embedded in engineering workflows, including AI-assisted coding across the team. Down the road: ISO 27001 and SOC 2. We're hiring a Head of Engineering to own and scale this function - leading day-to-day execution, stabilizing core infrastructure, and growing team velocity. You'll work directly with the CTO and Head of AI to turn a big technical vision into reliable, production-grade systems. Our Stack: AWS EC2/EKS/ElastiCache/Amplify/Kinesis/SageMaker, Python, Laravel, Nuxt.js, PostgreSQL, MongoDB, Qdrant, Claude, Cursor, Langdock, GitHub, Jira, Confluence, SonarQube Tasks - Own the engineering team - run all 1:1s, manage performance, unblock engineers, and drive accountability across frontend, backend, and cloud infrastructure. - Stabilize and scale core infrastructure - identify and resolve critical gaps in our existing systems, establish engineering standards, and build toward a resilient, production-grade architecture. - Drive delivery - translate product and business priorities into clear engineering roadmaps, sprint structures, and shipping cadences. - Coordinate with the Head of AI - ensure smooth integration between the AI pipeline and the broader platform infrastructure, from data ingestion to API delivery. - Build engineering culture - introduce the right processes (code review, incident response, documentation, testing) without creating bureaucracy. - Hire and grow the team - own recruiting, onboarding, and team composition decisions in close alignment with the CTO. - Represent engineering in leadership discussions - bridge the gap between technical reality and business expectations. Requirements - 7-12 years in software engineering, with 3+ years in an engineering leadership role owning a team directly (not just tech lead). - Proven track record managing and growing small-to-mid-size engineering teams in a fast-moving startup environment. - Strong full-stack understanding: backend systems, frontend delivery, cloud infrastructure (AWS), and API design. - Experience inheriting and stabilizing broken or scaling infrastructure - not just greenfield builds. - Excellent people manager: you do 1:1s properly, give direct feedback, and create clarity in ambiguous environments. - Strong communicator upward (founders/CTO) and downward (engineers) - you translate between vision and execution fluently. - Highly structured and process-oriented, but pragmatic - you ship, then you improve. - Entrepreneurial by nature: you build, you own, you drive. - Bonus: familiarity with data-heavy platforms, analytics infrastructure, or financial/fintech products. - Bonus: exposure to blockchain or Web3 infrastructure. Benefits - Offsites with the team in exciting locations - Flexible working hours in a company that relies on remote work - Exciting product in a very dynamic market environment as well as founding-level ownership of a key growth function. - Values-based start-up culture - Many opportunities to develop further and network with committed people - Flat hierarchy Send us a quick intro with your CV and LinkedIn profile. Bonus if you can share a system, team, or infrastructure challenge you owned and solved. Let's build the next layer of trust for digital assets - together!