• Evolve progressive delivery with Argo Rollouts and GitOps. Enhance our canary deployment strategies, improve automated health checks and rollback triggers, and build self-service deployment tools. • Optimize CI/CD infrastructure at scale. Improve CI workflows and build tools that enhance speed and reliability. • Build deployment gates and guardrails that prevent production incidents. Implement automated quality checks. • Build world-class deployment observability and visibility. Create monitoring and alerting systems. • Drive Wealthsimple's 2026 reliability mission by implementing chaos testing frameworks and automated rollback mechanisms. • Pioneer continuous, automated load testing to validate performance characteristics before and during deployments. • Champion engineering excellence and mentorship by partnering across teams and sharing expertise through various channels.

Job Description Summary We are seeking a highly skilled and experienced External Manufacturing Leader to oversee and manage relationships with external manufacturing partners across various sites, specifically those involved in the production of radiotracers. The ideal candidate will have a deep understanding of regulatory frameworks, including 21 CFR 212, and familiarity with radiopharmaceuticals, radiopharmacies, and Board of Pharmacy requirements. This role will focus on ensuring safety, quality, compliance, delivery, speed, and cost across these manufacturing sites while managing the complexities of radiotracer production. Job Description Roles & Responsibilities: - Serve as the primary point of contact and key liaison between the company and external manufacturing partners, particularly those involved in radiotracer production - Cultivate and maintain strong, effective relationships with external manufacturing sites to ensure consistent, high-quality production and compliance. - Lead and participate in regular business reviews, aligning the external manufacturers’ performance with corporate goals, and addressing any issues proactively. Safety & Compliance: - Ensure all external manufacturing operations adhere to safety regulations, particularly in the production of radiotracers, and comply with environmental, health, and safety (EHS) guidelines. - Monitor and enforce compliance with 21 CFR 212 (for the production of radiopharmaceuticals), FDA regulations, and other relevant guidelines, ensuring all manufactured radiotracers meet stringent regulatory standards. - Oversee adherence to the Board of Pharmacy regulations, particularly with respect to radiopharmacies and the handling of radiopharmaceuticals. Quality & Delivery Assurance: - Manage the quality assurance processes to ensure the consistent production of high-quality radiotracers in compliance with GMP, FDA, and other regulatory requirements - Ensure timely and accurate delivery of radiotracers, working with external manufacturers to address any issues related to production delays or capacity. - Collaborate with the quality assurance team to resolve deviations, implement corrective and preventive actions, and continuously improve quality control processes. Speed & Cost Management: - Optimize manufacturing processes to balance speed-to-market needs with cost-effectiveness, particularly for the production of radiopharmaceutical products. - Work closely with external manufacturers to drive cost-saving initiatives while maintaining high quality and compliance standards. - Ensure that external manufacturing costs are managed effectively, including negotiating pricing and terms with vendors to align with the company’s financial objectives. Risk Management: - Proactively identify and mitigate risks related to external manufacturing operations, including production, regulatory compliance, and supply chain risks, especially with radiotracers. - Develop and implement contingency plans to address potential disruptions in radiotracer production, supply chain issues, or regulatory changes. • Cross-functional Collaboration: - Collaborate with internal teams, including Supply Chain, Operations, Regulatory Affairs, and R&D, to ensure alignment and smooth operations across external manufacturing activities. - Provide leadership and regular updates to senior management on the performance of external manufacturers, focusing on key issues, risks, and solutions. Performance Metrics: - Define, monitor, and report on key performance indicators (KPIs) for external manufacturing performance, ensuring alignment with business goals for radiotracer production. - Track and report on the performance of external partners to drive continuous improvement in quality, safety, cost, speed, and compliance. Required Qualifications: - Bachelor’s degree in Engineering, Pharmaceutical Sciences, Life Sciences, Chemistry, or related field; advanced degree (e.g., MBA, Master’s in Supply Chain, or similar) preferred. - Experience: 8+ years of experience in external manufacturing or operations management within regulated industries such as pharmaceuticals, biotechnology, or radiopharmaceuticals. - Proven track record in managing relationships with multiple external manufacturing sites, including contract manufacturing organizations (CMOs). - Solid experience in quality management, compliance, and driving continuous improvements in manufacturing operations, particularly in regulated environments. - Demonstrated success in optimizing production processes for speed and cost while maintaining high regulatory standards. Desired Qualifications: - In-depth experience with radiotracers, radiopharmacies, and 21 CFR 212 regulations, including handling and production of radiopharmaceuticals. - Extensive knowledge of 21 CFR 212, FDA regulations, and GMP as they apply to radiopharmaceuticals and external manufacturing. - Strong understanding of radiopharmacy operations, Board of Pharmacy requirements, and the handling of radiotracers in accordance with industry standards. - Strong leadership, interpersonal, and communication skills to effectively manage cross-functional teams and external partners. - Excellent problem-solving, negotiation, and conflict resolution skills. - Ability to analyze complex data, identify areas for process improvement, and implement actionable solutions. - Familiarity with Lean Manufacturing, Six Sigma, or other continuous improvement methodologies. - Proven ability to manage multiple projects simultaneously and prioritize tasks effectively. - Strong knowledge of SAP, Oracle, or other ERP systems is a plus. - Experience in managing global manufacturing operations, particularly in the production of radiotracers. - Prior experience working in a radiopharmaceutical company or a similar regulated manufacturing environment. - Certification in quality management or project management is a plus. We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $140,000.00-$210,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: No Application Deadline: April 18, 2026

Teamwork.com is the AI-powered platform that helps client-services organisations deliver work profitably. From project management and resource planning to time tracking and financial oversight, we give agencies, consultancies, and professional services teams everything they need to stay organised, run efficiently, and protect their margins. Our mission is to make every team that delivers client work more productive and more profitable — and we’re building AI into every layer of the platform to make that happen. This is a remote employment contract role in Poland only. About Teamwork null The opportunity The AI Team is a specialist enabling team at the heart of how Teamwork builds intelligent product. We’re responsible for the infrastructure, frameworks, and engineering capabilities that every product team depends on to ship AI-powered features and workflows. We don’t just build AI — we make it possible for the entire engineering organisation to build with AI confidently, consistently, and at pace. If you want to shape the foundations that a whole product is built on, this is the team. - Design, build, and maintain the core AI infrastructure, frameworks, and shared services that product teams across Teamwork rely on to deliver AI-powered features - Develop and evolve APIs, SDKs, and integration patterns that make it straightforward for teams to embed AI capabilities into their product areas - Build and maintain evaluation frameworks (evals, benchmarks, quality metrics) that give teams confidence in AI feature quality before and after release - Work across backend (Node/Go) and frontend (Vue 3) where needed, with a primary focus on backend systems, data pipelines, and AI service layers - Collaborate with product teams to understand their AI needs, unblock adoption, and ensure the platform capabilities evolve alongside product requirements - Work with LLM providers, embedding models, vector stores, and retrieval pipelines — selecting, integrating, and optimising the right tools for each use case - Bring AI features to production, instrument them for real-world performance, and iterate based on customer feedback and usage data - Use AI tools throughout your own development workflow to accelerate delivery, improve quality, and reduce manual effort - Contribute to engineering culture by documenting patterns, sharing best practices, and raising the AI capability of the wider engineering team - Continuously improve how we build and ship AI — optimising for reliability, quality, speed, and customer impact Requirements - Strong experience building and shipping AI-powered product features in a production environment — not just prototypes, but features that real customers use and that have been improved based on their feedback - Backend expertise in one of Node, Go, Python, or a similar language, with experience building scalable APIs and services - Hands-on experience working with LLMs, prompt engineering, retrieval-augmented generation (RAG), embeddings, or similar AI/ML techniques in a product context - Experience designing and running evaluations (evals) to measure AI feature quality, accuracy, and reliability — and using those results to drive improvement - Solid experience with cloud infrastructure and distributed systems on AWS or similar (containers, managed databases, message queues, search) - Familiarity with modern JavaScript frameworks (Vue, React, or similar) — enough to contribute to frontend work when needed, even if backend is your primary strength - Demonstrated, active use of AI tools (e.g. Claude, Copilot, Cursor, or similar) to improve how you work across the development lifecycle - Experience working in cross-functional or platform/enablement teams, building tools and capabilities that other engineers depend on Skills You’ll Bring - Strong product mindset — you understand that AI infrastructure exists to serve product outcomes, and you make decisions that balance technical rigour with customer and business impact - Ability to critically evaluate AI outputs, design effective prompts and pipelines, and build systems that degrade gracefully when models behave unexpectedly - A sharp eye for AI quality — you know how to define what “good” looks like for an AI feature, measure it, and systematically improve it - Solid engineering fundamentals: system design, performance, scalability, and maintainability - Strong problem-solving and debugging skills, particularly in systems where behaviour is non-deterministic - An enablement mindset — you get satisfaction from making other teams more capable, not just shipping your own features - Clear, direct communication and a collaborative working style - Ownership mindset — you focus on delivering outcomes, not just output What Sets You Apart We’re especially interested in candidates who can demonstrate any of the following: - Experience building AI features end-to-end: from problem definition and design, through implementation, evaluation, launch, and iteration based on real customer feedback - Experience building shared AI platforms, frameworks, or internal tooling that other engineering teams consumed - Familiarity with evaluation and observability practices for AI systems — evals, A/B testing, monitoring for drift, hallucination detection, and quality regression tracking - Experience with our infrastructure stack: AWS EKS, RDS/MariaDB, DocumentDB, OpenSearch, RabbitMQ - Experience with Go and Vue 3 specifically, or a strong appetite to ramp up quickly - A habit of staying current with the rapidly evolving AI landscape and bringing practical insights back to your team A Note on AI This role has a dual AI expectation. First, like every engineer at Teamwork, you’ll be expected to use AI tools actively in your own workflow — to write, review, test, and ship code more effectively. Second, and specific to this role, you’ll need to demonstrate real experience building AI-powered product features: designing them, evaluating them, shipping them, and improving them based on what customers actually experience. During the interview process, we’ll ask you to walk us through concrete examples on both fronts. We’re not looking for enthusiasm about AI — we’re looking for evidence. What good looks like null What you can expect null Core Benefits and Perks - Competitive salary - Up to 30 days vacation - Pension/Retirement matching - Health plans and wellbeing programs - Give Back program - Educational resources and generous development allowance - Inclusive policies including maternity, paternity and parent leave - Recognition programs - Employee Share Options (ESOP) Teamwork is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, colour, age, family status, disability, religion, sex, sexual orientation, gender identity, nationality or ethnic origin.

• Design the architecture for the platform, including backend services, APIs, data pipelines, integrations with labs and wearable devices. • You’ll ensure systems are secure, scalable, and maintainable. • Plan for the growth of the platform as company expands across Europe. • Key areas include health data storage and processing, real-time data ingestion and AI integration pipelines. • Define and promote best practices for code quality, security, testing and system reliability. • You’ll help build a technical culture that balances speed with robustness. • Technical Leadership- Support the engineering team by reviewing architecture decisions, guiding complex implementations and mentoring engineers. • You won’t just design systems - You’ll help ensure they are actually built well.