Senior Analytics Engineering Manager Jobs

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: US remote-friendly or any office location - SF, LA, CHI, NY The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth. As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc.). You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research. This person will be an industry technical leader with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. You will go through a general Data Scientists hiring process and get matched to the product area that best fits your background and interest. Responsibilities: Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests Create new ETLs, tables, dashboards, and other self-

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company’s vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco headquarters. The Core Rider team is responsible for the Lyft consumer app you know and love. This team spans the entire consumer journey across the request and purchase flows, search, pickups and dropoffs, the post-match experience, and the in-trip experience. As a Staff Product Manager on the Core Rider team, you’ll lead a large cross-functional team to build the rider “journey” (anything that gets a rider from A to B.) This includes the home screen, request flow, pickup experience, in-ride experience, and rate & pay. You’ll also be responsible for how this “golden path” experience extends to serve AVs and segments of interest – owning targeted experiences like Lyft Silver for Seniors and Price Lock for commuters. This represents a large percentage of the core Lyft rider experience used by millions of people every day. Plus, the solutions you build need to work everywhere, from the simplest suburban home to JFK Airport, and all modes of transportation (rideshare, AVs, etc.). Responsibilities: Understand Lyft's strategic and competitive position. Set goals and success metrics that align with Lyft's mission and drive maximum impact based on data analysis, market research and usability studies Set an incredibly ambitious vision that motivates and i

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . The Role & The Team: We are looking for a talented, motivated, and quality-focused Senior Test Automation Engineer to design testing procedures for our software applications. The candidate will be responsible for analyzing the functionality of applications and designing automated tests to validate their stability and performance. They will have a technical background, a strong analytical thinker, and a proven ability to analyze complex solutions and define the appropriate test strategy. They will be a determined individual, who is confident to probe and question, and work with Developers and Product Owners to understand requirements and develop and maintain automated and manual tests. They will be responsible for active issue management in coordination within the team, communicating the cause, effect, and impact of those issues to the team, who can then prioritize appropriately. You will be responsible for coding, testing, and maintaining software systems, while mentoring and building the test capabilities of the agile teams. Reporting to the Director of Engineering, the candidate will recognize areas

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. Our Product Quality Engineering team supports manufacturing excellence across our Boise fab. We work closely with partners across the factory to supervise product performance, drive process stability, and ensure the reliability needed for world‑class semiconductor production. We thrive in a fast‑moving environment where data, collaboration, and problem‑solving make a daily impact! As a Product Quality Engineer, you will protect the stability of our processes and the quality of our products. You’ll investigate yield and reliability issues, define standard procedures, apply statistical tools, and support audits that strengthen our quality systems. Your work will directly influence product performance, customer satisfaction, and long‑term manufacturing success. Responsibilities: Partner with multi-functional teams to resolve quality issues and drive continuous improvement Monitor and report quality metrics including DPM, yield variation, and reliability performance Troubleshoot wafer‑fab problems, perform root‑cause analysis, and manage defect and excursion investigations Evaluate products to confirm performance against design requirements and recommend process or equipment adjustments Define and standardize SOPs and apply statistical tools to monitor process deviations Minimum Qualifications: Bachelor’s degree in Electrical, Mechanical, Materials, Physics, or related engineering field, or equivalent ex

Machine Learning Engineer – Biometrics (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestra

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 which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. We are now looking for a motivated Senior ASIC Physical Design Engineer, Netlisting to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today! 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 which are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. What you'll be doing: You will drive physical design of high-frequency and low-power CPUs, GPUs, SoCs at block level, cluster level, and/or full chip level, with a focus on netlist-related aspects such as equivalence checking, asynchronous checking including clock domain crossing checks and MTBF analysis, logic synthesis, netlist quality checks, etc. Help in all aspects of physical design, such as driving timing convergence, timing constraints generation and management, and ECO generation and implementation. What we need to see: BS (or equivalent experience) in Electrical or Computer Engineering with 5&#43

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 . As a Senior Strategic Program Lead on the Strategic Programs team within Customer Experience, you'll own the customer experience strategy for Coinbase's most critical onboarding journeys: identity verification, account recovery, login, and new-user KYC. This team sits at the intersection of Product and CX, focused on turning customer friction into prioritized product work and measurable improvements. You'll partner directly with Product, Engineering, and Design to influence roadmaps with customer-grounded data, making these first-impression moments seamless. What you'll do: Own the end-to-end CX strategy and program management for Identity and Onboarding, building and operationalizing long-term plans informed by customer feedback, contact rate analysis, business priorities and market trends. Partner with Identity and Onboarding Product, Design, and Engineering teams to influence roadmaps, ensuring the experience from in-product flows through support is intentional and high-quality. Build and maintain program scorecards tracking contact rates, CSAT, automation effectiveness, and quality guardrails, using them to frame product opportunities with clear impact sizing and prioritized recommendations. Drive launch readiness for Identity and Onboarding product releases, ensuring sad path experiences are fully scoped in partnership with Product, determine instrumentation req

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Software Engineer, US Bank Accounts Team We’re looking for a Senior Software Engineer to join the nascent US Bank Accounts team, building products that enable businesses to open, manage, and move money directly within our ecosystem. You’ll help evolve and scale existing capabilities to enable significant growth, refine and deepen customer experiences, and build new products that expand our offering. As an early member of the team, you’ll have the opportunity to shape technical design, architecture, and roadmap decisions; own projects from beginning to end; and help define the team’s culture and identity. You’ll partner closely with engineering, product, and key stakeholders to turn complex banking needs into reliable, scalable customer experiences. This Chicago-based role is part of the broader Financial Services product organization, which owns the full suite of financial products we offer to our customers. What you’ll do: Work on complex technical projects from requirements analysis through design, implementation, testing and launch into production. Bring your own point of view on best engineering practices. Be hands-on and contribute to the implementation. Identify and improve parts of the platform to make it more robust and scalable. Your code will be used at scale and you are expected to think in that mindset when

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role We are seeking a Staff Vulnerability Management Engineer to lead the most complex technical work in SoFi’s Vulnerability Management program. You will design and build scalable systems that identify, enrich, prioritize, route, and track vulnerabilities across applications, cloud and infrastructure, containers, software supply chains, and specialized hardware or firmware surfaces. This is a hands-on engineering role with broad technical influence: you will write production code, make architecture decisions, establish vulnerability management standards, and improve how teams understand and reduce vulnerability risk. You will partner with Engineering, Infrastructure, SRE, Compliance, Legal, and business stakeholders to accelerate remediation while protecting engineering velocity and customer trust. You will also serve as a senior technical responder for embargoed disclosures and zero-day events, lead root-cause analysis for high-impact vulnerability incidents, and mentor engineers. The ideal candidate combines deep vulnerability management expertise with strong software engineering judgment, systems thinking, and a bias for durable, measurable outcomes. What you’ll do Lead high-complexity vulnerability management initiatives and make architecture decisions for assigned program areas, from detecti

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Senior Machine Learning Engineer specializing in synthetic data, you will play a pivotal role in developing the synthetic data pipeline that is crucial to Cohere’s advanced language models. Your responsibilities will encompass the end-to-end management of synthetic data, including maintaining and optimizing the synthetic data pipeline, data analysis and generation, as well as conducting data ablations and model evaluation to gauge data quality. You will work with diverse web data and code data and transform them using generative models to improve token efficiency and model quality. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization. Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a

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. POSITION SUMMARY CVS Health is seeking a Senior Mainframe Capacity & Performance Engineer to join our Enterprise Infrastructure organization. The Senior Mainframe Capacity & Performance Engineer will serve as a critical technical leader responsible for ensuring the performance, scalability, reliability, and efficiency of our enterprise mainframe environment supporting mission-critical healthcare, pharmacy, and retail applications. As a Senior Mainframe Capacity & Performance Engineer, you will play a key role in capacity planning, workload analysis, performance engineering, and infrastructure optimization across one of the nation's largest and most complex mainframe ecosystems. This position is responsible for proactively monitoring shared mainframe resources, evaluating system utilization trends, identifying performance risks, and providing actionable recommendations to improve overall system health and operational efficiency. The Senior Mainframe Capacity & Performance Engineer will partner closely with Application Development, Mainframe Systems Programming, Infrastructure Engineering, Architecture, Database Administration, Operations, and Business teams to analyze workload behavior, assess resource consumption, identify top consumers, and optimize application performance. This role requires deep expertise in z/OS performance analysis, capacity forecasting, workload managem

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. Key Responsibilities Lead front-end semiconductor fab design and process tool planning activities for new fab construction, expansion, and remodeling projects. Develop and maintain cleanroom layout strategies that optimize manufacturing capacity, operational efficiency, equipment accessibility, and future scalability. Evaluate and define tool siting plans, process area configurations, aisle strategies, and support space requirements to enable manufacturing objectives. Partner with Process Engineering teams to translate technology roadmaps and capacity requirements into executable facility and layout solutions. Collaborate with Facilities, Utilities, Construction, and AMHS teams to ensure successful integration of manufacturing equipment, infrastructure systems, and material handling networks. Drive footprint optimization, cleanroom utilization improvement, and layout scenario analysis through data-driven decision-making. Coordinate design reviews and alignment discussions across multiple stakeholder groups to ensure project objectives, timelines, and requirements are met. Support fab readiness activities, including field verification, design validation, issue resolution, change management, and risk mitigation. Ensure compliance with safety, quality, environmental, and corporate standards throughout all design and implementation ph

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary As a Design Quality Assurance Engineer, you will work within the Hardware, Firmware, and Software Design team. This will be a hands-on position to support all design validation and reliability aspects of design, development, and transfer to manufacturing. You will drive system validation activities for new product development, verify design changes for existing products, resolve technical issues related to the manufacturing process, and perform failure analysis on field returned products. Responsibilities Passionate about user experience and deeply committed to delivering intuitive, high-quality UX. Develop and review the quality test plan for design validation and EVT/DVT/PVT builds. Execute tests according to test plans to generate test reports during EVT/DVT builds. Try to reproduce the customer’s issues and record the results for RD analysis Develop an automatic test bench for long-time stress testing. Develop and maintain test environments to ensure sufficient test coverage and speed up testing. Design test methodology and coverage to assure reliability Develop, maintain, and execute black-box and white-box test cases. Track the progress of issue resolution and verify the effectiveness of corrective actions Requirement BS in Engineering (Electrical Engineering, Industrial Engineering, Computer Science, Phy

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Internal Audit function at Robinhood provides independent, objective, and timely assurance on the effectiveness of governance, risk management, and internal controls — helping to strengthen the organization's overall control ecosystem. Our team oversees governance across the Company and its regulated entities, and facilitates the communication of risk management information between RHM leadership and the Board of Directors and its Committees. We work closely with cross-functional partners across Brokerage, Crypto, Security, and Engineering to drive meaningful improvements to the control environment. We're a collaborative, high-performing group of auditors who take their work seriously — and love what they do! As an Internal Audit Senior Associate , you will play a key role in executing internal audits for Robinhood's International Entities, spanning Brokerage and Crypto products and integrated audits across multiple lines of business and jurisdictions. You will be a technically skilled, collaborative, and analytical professional with a strong understanding of risks, controls, and processes in a regulated Fintech setting. You'll contribute across the full audit lifecycle

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Staff Software Engineer on the GTM AI Engineering (Claudification) team, you will build the agents and AI systems that run Anthropic's own go-to-market work. Our sellers already work alongside agents every day. You will take things to the next step and build agents that run complete autonomous motions across areas like inbound, outbound, and pipeline management. In addition, you’ll build eval frameworks that prove those agents are ready for customer-facing work and are driving value. This is a senior role where you’ll drive technical direction for agents and evals across our team. Working closely with sellers, RevOps, and our platform engineering partners, you'll own projects from first prototype through production operation. You'll combine full-stack engineering (MCP servers, agentic systems, web applications, etc.) with hands-on evaluation work (behavior benchmarks, production monitoring, ROI measurement), and help architect the shared platforms that builders from across our go-to-market org contribute to. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing AI engineering function at a pivotal moment in the company's growth. Key responsibilities Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement Design the human oversight for each motion: approval gates, handoffs, and escalation paths that keep sellers in control Develop evaluation frameworks for agent behavior, and run them in development and in production Instrument model and tool