Lead and manage risk and post-market surveillance activities for NeuroPace’s medical device portfolio.
Compensation
$160K-$185K Base - Compensation will be determined based on several factors, including but not limited to skill set, years of experience, and geographic location.
Responsibilities
Serve as a subject matter expert in post-commercialization risk management processes and data-driven safety analytics.
Lead cross-functional efforts and meetings to analyze and synthesize complex data into actionable insights for senior leadership and other key stakeholders.
Maintain ISO 14971-compliant risk files, developing global Post-Market Surveillance plans, and leverage advanced statistical tools to detect emerging performance signals.
Implement, instruct, and support training of staff on risk management remediation directives based on findings and analysis.
Ensure all ongoing maintenance, continuous improvement and remediation efforts meet applicable quality and regulatory standards.
Lead the supply-chain analytics for assigned programs.
Compensation
Salary: $89,900 - $97,000
Responsibilities
Lead the supply-chain analytics for assigned programs.
Establish metrics, monitor performance (cost, schedule, quality, delivery), produce dashboards and high-level summaries.
Coordinate program activities designed to ensure effective and efficient economic support.
Drive material flow optimization: demand forecasting, inventory modeling, lead-time analysis, stock-to-forecast reconciliation, buffer strategies for long-lead items, and risk-mitigation of supply disruptions.
Contribute to proposal/capture activities by supporting material and subcontract cost estimating, supply-chain strategy input, schedule risk assessments and documentation for government and prime contracts.
Lead the global planning functions within Corporate FP&A, establishing quarterly and annual financial guidance frameworks in close alignment with Finance Leaders, Investor Relations, Treasury, and Accounting.
Compensation
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $168,300 - $219,725 Zone B: $151,470 - $197,753 Zone C: $139,689 - $182,372
Responsibilities
Drive Planning and Company Guidance
Lead Cross Functional Finance Partnership
Manage FX Modeling
Champion AI and Modern FP&A Automation
P&L and Margin Stewardship
Requirements
Bachelor’s degree in a quantitative field (Finance, Economics, Accounting)
Lead and scale our Data Ingestion & Analytics Platform team and help the members of your team grow both technically and professionally.
Locations (2)
Mountain View, California, United States
Seattle, Washington, United States
Compensation
Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $174,000/year in our lowest geographic market to $299,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
Responsibilities
Work closely with product and data scientist teams and lead the planning, execution and success of complex technical projects.
Hire world class talent and provide technical guidance, career development, and mentoring to team members.
Participate in key technical and design discussions with technical leads in the team as a hands‑on manager.
Partner with key business stakeholders to prioritize work and create amazing products to support our data platform ingestion and analytics team.
Lead and scale the Data Ingestion & Analytics Platform team to support high-volume data warehouse and analytics infrastructure.
Locations (2)
Mountain View, United States
Seattle, Washington, United States
Compensation
Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $174,000/year in our lowest geographic market to $299,000/year in our highest geographic market.
Responsibilities
Lead and scale the Data Ingestion & Analytics Platform team
Work closely with product and data scientist teams to plan, execute and deliver complex technical projects
Hire world class talent and provide technical guidance, career development, and mentoring
Participate in key technical and design discussions with technical leads
Partner with business stakeholders to prioritize work and create products for the data platform
Lead financial analysis and process transformation across key balance sheet areas, developing dashboards and decision-support tools to improve visibility, efficiency, and financial performance.
Compensation
For U.S. based positions only, the pay range for this position is $140,000.00-$210,000.00 Annual.
Responsibilities
Lead analysis of balance sheet performance, financial risks, and operational drivers
Drive improvements in planning, reporting, and governance processes
Develop clear, intuitive dashboards and data visualizations
Partner across Finance, Operations, Segments, and Regions to define business requirements
Use financial expertise, analytical judgment, and digital capabilities to solve problems
Requirements
Bachelor's degree from an accredited university or college
Analyze and interpret data sets to identify, assess, and monitor issues across the organization as part of the Issue Management Program within Corporate Risk.
Compensation
The base salary range for this position is $67,000-$127,000 per year.
Responsibilities
Analyze and interpret data sets to identify, assess, and monitor issues across the organization
Support the end-to-end administration of the Issue Management Program, including issue intake, validation, tracking, remediation, and closure activities
Assist in the ongoing enhancement and automation of program processes and reporting to improve efficiency, transparency, and risk oversight
Partner with stakeholders across business units to ensure issues are documented, prioritized, and remediated in accordance with established governance standards
Contribute to continuous program improvement and regulatory readiness
Industrial Engineer responsible for improving manufacturing processes, capacity planning, and operational performance at RTX’s Pratt & Whitney facilities.
Compensation
The salary range for this role is 86,800 USD - 165,200 USD.
Responsibilities
Study product requirements and determine labor, equipment, tooling, and facility requirements needed to support production demands.
Conduct machine capacity analyses and identify, develop, and implement initiatives that improve Overall Equipment Effectiveness (OEE), throughput, and operational performance.
Develop methods to increase productivity, maximize manufacturing efficiency, and optimize workforce utilization.
Lead and support continuous improvement initiatives using Lean Manufacturing principles, including Kaizen events, waste reduction activities, and process optimization projects.
Identify process improvement opportunities through data analysis, modeling, benchmarking, and operational assessments.
Requirements
Bachelor’s degree in Industrial Engineering, Manufacturing Engineering or Operations
Supports the Product Management Manager in growing a designated commercial line of business profitably and in executing product changes in our systems.
Compensation
The base salary range for this role is $100,000 – $150,000 annually. Compensation will depend on qualifications, experience, and location. This role is also eligible for performance-based bonus and equity, in addition to a comprehensive benefits package.
Responsibilities
Analyze loss, premium, retention, and quote-to-bind data by state and class for the designated line of business
Prepare state-specific segmentation and product needs to support profitable growth
Build and maintain analyses and reports using our data and AI-enabled tools, applying a working understanding of SQL, Python, or other statistical tools
Monitor product performance, loss trends, underwriting patterns, and competitive benchmarks
Implement approved product changes in the rater and UI using our AI-enabled tools, including rating, rules, and eligibility logic
Requirements
Bachelor’s degree required, ideally in Business, Math, Statistics, Economics, Finance, Insurance, Data Science, Actuarial Science, or related fields
Master’s degree is a plus
Insurance certifications (CPCU, AINS, ARM, etc.) are a plus
Nice to have: Power BI preferred
Nice to have: AI tools (including OpenAI platforms)
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