Engineering Effectiveness Manager Jobs

We are seeking a talented and passionate Senior Developer to join our Operations Workbench Scrum team. You will be a key contributor to the development of our new, cutting-edge Operations Workbench platform. You will apply your deep technical expertise to build and implement robust solutions, while promoting engineering best practices. This role is for an experienced developer who is passionate about hands-on implementation and collaboration. You will be a core member of the team, delivering high-quality, scalable solutions to enhance operational efficiency. Why Join Our Team? Drive Global Impact: Be part of a team building a mission-critical system that will streamline and automate key operational workflows across the firm, directly impacting business efficiency. Solve Complex Challenges: Design and build a scalable, resilient, and cloud-native architecture for a complex workflow and case management system. Work with a Talented Team: Collaborate with a skilled team of developers, product owners, and architects, fostering a culture of engineering excellence and innovation. Work with Modern Technology: Utilize a modern tech stack, including Java, Kubernetes, Docker, and Kafka, to build cutting-edge financial technology solutions. Key Responsibilities · Software Development: Design, develop, test, and deploy high-quality, scalable, and maintainable code. · Quality Advocacy: Promote best practices for engineering excellence in coding, testing, build, deployment, and the maintenance of high-quality software. · Solution Implementation: Act as an active contributor to design and a hands-on implementer of code. · Agile Mindset: Actively participate in scrum activities such as sprint planning and refineme

QRL (Quant Risk Libraries) implements risk models to ensure that the bank’s lending portfolios have adequate capital during crisis. We use mathematical modeling and the latest technologies to build loss forecasting and stress testing pipelines. Our systems are responsible for calculating risk on some of the largest portfolios in Citi. We are a diverse group of professionals with backgrounds in Physics, Engineering and Computer Science. You will work alongside experienced colleagues to further develop your analytical and quantitative skills. You will build skills in building products from the ground up for solving real life problems and develop a career as a risk model expert. You will be responsible for: Designing and implement a framework for model driven computations on a graph Designing and building infrastructure APIs for grid computing, data storage and access Unit testing, reliability and improving the quality of our compute pipelines Learn about Python, its ecosystem, community and best practices Ideas on improving our model and data platform and help implement them You will need: Bachelors or Masters in Computer Science/Computer Engineering or related field Strong grasp of computing fundamentals: data structures, algorithms, OS, programming languages. Fluency in Python and working knowledge of a compiled language like C/C++/Java Exposure to Numerical libraries (Pandas/Numpy) and data proces

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron plans to invest more than $150 billion globally over the next decade in groundbreaking manufacturing and R&D, including fab expansion in the United States giving us the opportunity to bring in passionate team members to help us continue to be at the forefront of memory in the world. Micron has an outstanding opportunity for a high energy, tenacious, ambitious, result driven individual with a strong work ethic and integrity to join our Advanced Technology Engineering (ATE) Team in Boise, Idaho. In this role, you will play a critical part in building and leading the ID1 process engineering teams for PVD and CVD. You will hire and develop new engineers, establish training pipelines, and partner closely with global manufacturing fabs to ensure a smooth transition to high-volume manufacturing in Boise. Your leadership will directly impact safety, capability, and long-term manufacturing success. Responsibilities: Build and lead the F4 HVM PVD/CVD process engineering teams , including hiring, onboarding, coaching, and ongoing development to create a high-performing, inclusive organization Define and implement team strategy , performance targets, and succession plans aligned to factory goals, ensuring clear accountability and strong operating rhythms Lead and develop the team to deliver sustained yield improvement through structured problem solving, data-driven decision making, and disciplined process optimization across PVD/CVD Establish clear expectation

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Product Manager AI adoption across the organization is accelerating, and existing governance processes can add cycle time and rely heavily on manual review. We are building an AI Governance Engineering capability to modernize governance through automation—shifting from approval-heavy workflows to registration-driven workflows with built-in controls, and continuous observability. As a product manager in AI Governance team, you will be responsible for managing the vision, roadmap and requirements for the engineering team delivering governance-as-code roadmap: platform-agnostic SDKs, APIs, and automated controls that help teams move faster while ensuring responsible AI guardrails are consistently enforced. This role is a combination of product manager and product owner roles where you will need to operate at both 10000 ft as well as ground level providing granular requirements that team can execute on. Responsibilities Define product strategy, capabilities, and roadmaps for the governance as code team of engineers. Define Agent to agent workflows Research industry practices in this domain and choose best bath forward taking an agile approach to development Establish shared vision across the company by building consensus on priorities. Building influential relationships with business partners, stakeholders, and peer group to drive o

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work , to amplify human imagination and intelligence. Make the choice to join us today. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips. What you'll be doing: As a member in our team, you will own and work with cross functional teams, implementing state-of-the-art designs in test access mechanisms, IO BIST, memory BIST and scan compression. In addition, you will help develop and deploy DFT methodologies for our next generation products. You will have the chance to define, prototype and deploy next generation DFX architectures and methodologies across all our products. This includes high speed test access architectures, the in-system-test architecture, ISO26262 functional safety diagnostic for in-field testing and beyond, silicon debug & bring-up, productization, and silicon life-cycle management among others As a member on our DFX Architecture team, your responsibility will be to craft key DFX architecture and methodologies to meet system level safety diagnostic test quality, in-field test quality, advanced defect screening and diagnosis to enable SLM for automotive, industrial, and robotics safety platforms etc. Collaborate with multi-functional teams like system architecture, chip architecture, ASIC design, verification, CAD, VLSI,

At NVIDIA, our Senior DFT Engineers lead the way in silicon test innovation, ensuring flawless execution and outstanding quality in our next-generation silicon platforms. This is an outstanding opportunity to join a world-class team and make a significant impact in the semiconductor industry! What You'll Be Doing: Design and roll out advanced test methodologies on NVIDIA’s next-generation silicon platforms. Own and work with cross-functional teams to implement the latest in test access mechanisms, IO BIST, memory BIST, and scan compression. Collaborate closely with VLSI and Product Engineering groups to design innovative DFT approaches that advance silicon test technology. Lead end-to-end planning and timely execution of NVIDIA's new chip bring-up efforts, from pre-silicon through production deployment. Develop and standardize methodologies, processes, and workflows for silicon bring-up, crafting reusable checklists and playbooks. Improve cross-team communication, work, and handoffs. Guide and mentor junior engineers, helping them navigate complex build trade-offs to achieve world-class quality and efficiency. What We Need To See: BSEE (or equivalent experience) with 5+ years, MSEE with 3+ years, or PhD in DFT or related domains. Demonstrated knowledge and expertise in defining scan test plans, BIST including memories and IOs, fault modeling, ATPG, and fault simulation. Excellent analytical skills in verification and validation of test patterns and logic on complex and multi-million gate builds using vendor tools. Experience in silicon debug and bring-up with an understanding of pattern formats, failure processing, and test program development. Strong programming and scripting skills. Excellent written and or

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions in AI for Chip Design and AI for Predictions in various use cases in manufacturing testing on some of the industry's most complex semiconductor chips. What you'll be doing: As a senior member in our team, you will work on innovating in the DFT Power, Thermal & Voltage Noise Methodology areas. This will include working on groundbreaking low power & thermal solutions for our manufacturing tests to be enabled at conditions that push the boundaries for our datacenter GPUs. Partner with multi-functional teams including Product Development & Power Architecture, implementing brand-new methodologies on hard-to-solve problems for improving our outgoing quality of chips. You will work on post-silicon data analysis for power to architect the next-gen solutions. In addition, you will help develop and deploy DFT methodologies for our next generation products using Applied ML & Gen AI solutions. Help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: BSEE (or equivalent experience) with 12+, MSEE with 10+, or PhD with 6+ years of experience in DFT design & power

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support workload scheduling systems that directly impact design velocity and infrastructure efficiency. Success in this role requires both operational precision along with developing and supporting forward-looking resource management solutions that address evolving compute demands. Beyond day-to-day operations, the role drives improvements in observability, service reliability, and automation, ensuring the EDA compute environment remains resilient, measurable, and aligned with long-term engineering demands. What you'll be doing: Manage, scale, and optimize job scheduling systems (LSF, Slurm, etc.) in a large-scale, multi-site environment supporting EDA and other compute-intensive workloads Analyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive measurable improvements in utilization, throughput, and turnaround time Lead problem solving across scheduler, OS, and workload layers, ensuring timely resolution of service-impacting issues Identify recurring operational challenges and implement targeted automation or process improvements to reduce manual effort and prevent repeat incidents Help define and track reliable metrics and SLOs for service performance and reliability, partnering with customers to ensure expectations are realistic and measurable Contribute to operational standards, documentation, and best practices to improve consistency across sites Partner directly with customer teams to clarify requirements, translate technical tradeoffs, and drive issues to closure What we need to see: Bachelor’s degree in Computer Science or related field, or equivalent experience Minimum 5+ years of experience operating and supporting large-scale Linux-based

As a member of the HW Infrastructure Storage Strategy team, you will be the bridge between storage infrastructure and the chip design (e.g. NVIDIA GPUs and CPUs) workloads that depend on it. You will focus on going hands-on to understand how storage behavior impacts EDA (Electronic Design Automation) and HPC workload performance in general — and what to do about it. You’ll evaluate next-generation storage technologies, design POCs grounded in real workload profiles, uncover gaps in observability, and drive strategic decisions like data placement during datacenter transitions. This is a rare role where you’ll work at the intersection of storage systems and chip design workflows at a scale few companies reach — petabytes of active data, millions of files per job, and thousands of concurrent users. You’ll develop NVIDIA’s storage strategy and have a direct, measurable impact on engineering velocity. What you'll be doing: Lead storage technology evaluations — design and execute POCs for platforms such as NetApp, VAST, and others, using real EDA workload profiles to benchmark performance, metadata behavior, and compatibility Analyze how storage configurations and architecture choices impact EDA workload runtime in production, and recommend tuning or architectural changes to reduce job execution time Identify gaps in storage telemetry and observability — define what metrics are needed and how to correlate storage behavior with jobs running on the environment Support datacenter lifecycle programs — expansions, technology refreshes, and site exits — by mapping workload placement, identifying required data, and minimizing data replication scope Define storage policies and best practices — data lifecycle, tiering strategies, snapshot/clone workflows (e.g., FlexClone for EDA workspace branching), and capacity planning recommendations Collaborate with IT, EDA tool teams, EDA operations, and

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line. What you'll be doing: Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making. Build, tune, or measure the performance of online and offline ML models and AI systems used across Coinbase. Act as owner for a broad scope of data and metrics, from definitions and core logging to presentation of data visualizations. Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. Maintain a high bar for statistical rigor on your team. Design, execute, and uplevel experimentation and causal analyses that build confidence with your stakeholders. What we look for in you: A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. Ability to in

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: We are looking for a software engineer to join our GTM Engineering team. You will build AI apps and workflows that drive revenue. You’ll partner closely with Sales, Marketing, Success, and Data to find opportunities and ship novel solutions with Vercel’s AI Cloud. You will report to the Director of GTM Engineering and will be remote. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: Ship code daily using the Vercel AI Cloud Discover user pain and ship high-impact solutions Collaborate with top performers in GTM departments and ship their best practices to the org with systems Test new features and give feedback to engineering Publish best practices and guides on using Vercel’s AI Cloud About You: Have shipped a Next.js app to production with users Have 4+ years of full-stack development experience Familiar with the Vercel ecosystem Experience working with AI models and APIs (e.g., OpenAI, v0 API, Anthropic) Bonus If You: Have built an AI agent Have automated repetitive tasks with AI Have built features with the AI SDK Have published blogs/videos explaining technical concepts Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that

The Security Incident Response Team (SIRT) plays a vital role in keeping Datadog safe from cybersecurity threats, defending the organization against threat actors, and maintaining the trust of our customers by ensuring their data remains protected. In this role, you will work closely with teams across Datadog to identify, triage, and respond to a wide range of threats, ensuring that we can contain any incidents as quickly as possible. You will also contribute to the tools and systems that make us more effective in our mission, and help ensure we have cross-functional learning from incidents to improve our defensive posture going forward. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Partner with our Cyber Threat Intelligence and Detection Engineering teams to identify threats to Datadog and ensure we have appropriate, accurate, high-signal detections for those threats. Triage escalated alerts to determine whether a security incident is occurring or may occur imminently. Respond to security incidents, whether as an incident commander or as an incident responder Make us more efficient through building tools and automations that eliminate repetitive processes Help us improve our overall security posture through post-incident reviews, tabletop and purple team exercises, and process/runbook improvements. Participate in a light on-call rotation. Who You Are: You have at least 5 years of experience in security incident response, threat hunting, security operations, cloud security, or other operational security domains. You’ve worked with at least one public cloud platform (AWS, GCP, or Azure) and cloud-native technologies like Kubernetes, Docker, or Terraform. You have a strong understanding of cloud-native threat actor TTPs and corresponding defensive contr

Curious Minds. Bold Ideas. Extraordinary Impact . We're transforming financial services through bold innovation and relentless execution. You bring the ideas and drive. We'll build what's next — together. Job Summary nCino is looking for a Principal Product Manager to help set direction for our Commercial Banking product line. This is a role for someone who sees the larger vision for where the product needs to go, not just the next feature, and who understands how decisions ripple across engineering, design, sales, and customer success before committing to a direction. The work moves across multiple initiatives at once, each at a different stage of life, from early discovery and research to efforts already building toward go to market. Partnering closely with stakeholders across the business, this person brings clarity to teams navigating competing priorities and helps turn a broad vision into a clear, actionable path forward. The ideal candidate has spent meaningful time in commercial banking or a closely adjacent financial services environment, bringing an intuitive sense for how institutions operate and what their customers actually need. A track record of leading complex, multi threaded product efforts speaks to this, along with the judgment to know when to zoom into the details and when to stay focused on the bigger picture. Strong communication skills round out the role, since translating vision into action means speaking fluently with everyone from engineers to executive stakeholders. Responsibilities Ideate - Own the roadmap. Identify next highest priority problems to solve. Influence the company towards a strategic direction based on your knowledge and expertise Validate the roadmap with customers. Take output from junior product team members' research to advance the planning Plan - Represent Product vision and VOC for your feature/feature set in planning sessions with Design and Architecture/Eng. Be knowledgeable enough to challenge the approach and ensure

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity New Relic is seeking an Infrastructure Engineer to join our IT Engineering team, with a focus on network infrastructure and enterprise AI enablement. You will build and operate the networks that keep our global workforce connected and secure, and you will help deploy AI tools that make the company faster. This is an engineering role built around automation, scalability, and reliability, with real ownership over the platforms you run. We are looking for a systems thinker who automates repetitive work, writes clear documentation, and makes sound tradeoffs between security, usability, and speed of adoption. You will partner with Security, Compliance, Facilities, IT Support, and Engineering teams, and you will have room to lead projects and shape the roadmap. What you'll do You will own and improve core network infrastructure across our global offices while driving the technical rollout and governance of AI platforms across the company. Day-to-day responsibilities include: Network and infrastructure Design, deploy, and manage Meraki infrastructure across global offices using the Meraki Dashboard and APIs Troubleshoot and resolve office network issues, including Wi-Fi, switching, VLAN, DHCP, DNS, and connectivity problems. Manage ISP relationships, including circuit procurement, installs, renewals, SLAs, outage escalation, and domain performance tracking Plan and execute office network builds, moves, and refreshes with Facilities and Security Design, deploy,

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Senior Sales Engineer, you’ll combine your technical aptitude, exceptional communication skills, and creative problem solving to help enterprise merchants design and implement scalable, reliable solutions on the Affirm platform. You’ll support pre-sale activities by leading technical discovery, analyzing requirements, and identifying well-architected solutions, while playing a key role in winning deals and driving the business forward. Staff Sales Engineers are part of the Merchant Engineering team and work closely with Affirm’s Sales, Engineering, and Product teams. You will work cross-functionally to develop merchant solutions, serve as a trusted technical advisor to customers, identify product enhancements, and help build internal processes that scale. What You'll Do Technical Expertise: Serve as the subject matter expert on Affirm’s integration solutions, demonstrating deep understanding of merchant checkout, customer journeys, and the competitive landscape. Making the most compelling technical case for Affirm to merchants. Consistently demonstrate your technical expertise and knowledge of Affirm’s product suite through developing and articulating compelling technical narratives that map Affirm’s capabilities to merchant systems, increasing solution scope and long-term platform adoption. Solution Development: Architect elegant solutions addressing specific customer challenges, including complex integrations and customizations. As necessary, think outside-the-box to design and architect end-to-end solutions that address complex merchant challenges, including advanced integrations and customizations. Evaluate tradeoffs across merchant constraints, platform capabilities, and non-functional requirements, and design tailored solutions aligned with each merchant’s business and technical