Staff Analytics Engineer Jobs

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 is looking for an Engineering Manager from across multiple disciplines. We are growing our team with people who want to build, improve, and incorporate technologies that make the lives of our community more enriched. As an Engineering Manager at Lyft, you'll collaborate with other teams and orgs, product managers, designers, data scientists, analysts, and operations on technology that empowers us to iterate quickly, while focusing on delighting our passengers and drivers. The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with specific verticals like your flight, we sweat the small stuff to help make Lyft the best transportation solution. As an Engineering Manager on the Rider vertical team, you will act as a critical technical leader, taking holistic ownership of supporting current projects and delivering new products from 0 to 1. This includes developing complex systems, defining strategic roadmaps, driving cross-functional alignment, and ensuring engineering excellence to improve the rideshare experience. Responsibilities: Drive team execution, proactively resolve bottlenecks and make decisive trade-offs. Partner with cross-functional teams (Product, Design, Marketing, Science, and Analytics) to define the team's strategic direction. Translate high-level business goals into actionable projects. Own a team roadmap from conception to delivery, managing cross-team dependencies and mitigating risks. Maintain operational excellence through contributing to best practices for observability, reliability, and on-call processes. Ensure technical excellence through architecture reviews, tech debt management, and engineering guidance. Maintain team health

You love turning real business problems into working AI solutions — and you’re not afraid to roll up your sleeves to ship them. In this role, you’ll lead Diligent’s internal AI Solutions function , a small, high-impact team that is embedding AI and GenA I into the systems thousands of colleagues use every day across Marketing, Sales, Customer Success, Finance, HR, Legal, and Product & Engineering. You’ll set the AI vision and roadmap for internal tools, architect solutions, and still build hands-on — from prototypes and reference implementations through to production-grade integrations . You’ll own how AI shows up inside ERP, CRM, BI and core IT platforms, and you’ll be accountable for making those solutions reliable, secure, compliant, and measurably valuable for the business. If you enjoy being a “player-coach” who can move seamlessly between executive conversations and deep technical reviews, this role gives you the scope, visibility, and impact to shape how a global SaaS leader uses AI to run smarter and faster. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead, coach, and grow a high-performing team of AI Solutions Architects and Engineers, setting clear goals and building the capabilities the business needs as AI demand scales. Define and own the strategy, vision, and roadmap for internal AI solutions, translating business priorities into a focused portfolio of AI and platform initiatives. Design and deliver end-to-end AI/GenAI solutions — from ideation and prototyping through production deployment, monitoring, and continuous improvement. Embed AI capabilities (such as RAG, copilots, agents, summarization, and classification) into core business applications including ERP, CRM, BI, and other enterprise systems in a robust, maintainable way. &nbsp

Who we’re looking for and why now? A great writer who gets technical stuff – and loves figuring out how to explain it to other people. We have a strong writing culture, and writing as marketing has worked ridiculously well for us. We have a newsletter with over 100k subscribers, active social accounts, and real SEO and AEO authority. Hundreds of thousands of people visit our website every day. If you join, you won't spend a year building an audience before anyone reads you. We can and like to be opinionated about what we think best practice is and thousands of developers look to us to provide them opinion. The problem is we're at capacity, and there's a long list of content we're neglecting because of it. We used to do more tutorials. Use case guides people keep asking us for. Overall, we have a lot to write about. PostHog has grown from product analytics into a broad platform for engineers, and we're building everything from AI agents and error tracking to data infrastructure at huge scale. We're also open by default, so we're unusually happy to share what we've learned along the way. We want someone who can turn all of that into genuinely useful technical content. Simply put, you're a writer . You care about the craft, have opinions about what makes technical content actually great, and have a portfolio that proves it. What you’ll be doing You'll research and explain use cases, technical concepts, and how things actually work. One day that might mean digging into how our engineers rebuilt part of our data warehouse. Another could be explaining the difference between logs and traces, writing a tutorial for a PostHog use case, or figuring out the best way to explain what a context warehouse is. You'll need to be comfortable getting into technical details, but you don't need to be an engineer. The important bit is that you're curious enough to understand technical concepts properly and a good enough writer to explain them simply. Day to day, it looks like: Writing co

Role Overview You are a senior product leader who wants to shape how AI transforms IT and cyber risk management at scale. In this role, you will own one of the most strategic product areas in a global GRC SaaS platform, defining how organisations identify, assess, and act on cyber risk — and how CISOs and boards get the clarity they need when it matters most. You will set and drive the product vision, roadmap, and outcomes for IT & Cyber Risk on a multi-solution platform used by enterprises worldwide. You will partner closely with engineering, design, data science, and senior leaders to build AI-native capabilities that automate risk detection, prioritisation, and reporting. Your work will have high executive visibility, real strategic weight, and direct impact on how customers manage governance, risk, and compliance. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the end-to-end product strategy and roadmap for IT & Cyber Risk, aligning to company objectives and broader platform direction. Design and deliver AI-powered features (LLMs, agents, ML models) that automate risk identification, assessment, and reporting for enterprise security and risk teams. Partner with engineering, data science, and design to define technical approaches, ship high-quality releases across web, mobile, and API, and iterate using product analytics. Develop deep market and customer insight by engaging regularly with CISOs, security leaders, and risk managers, and turn those insights into clear product bets. Define, track, and communicate product KPIs, AI performance metrics, and north star outcomes to senior stakeholders, including business cases for major investments. Work cross-functionally with Sales, Customer Success, Professional Services, and Marketing to ensure successful launches and adoption of new IT & Cyber Risk capabilities. These are the essentials you’ll need to get an interview 7+ years of product management experience, includi

Staff Electrical Failure Analysis Engineer - Storage Systems — Longmont-MAX- Office, CO. Apply via Workday.

Senior/Staff HBM PYE Product Development Failure Analysis Engineer — Boise, ID - Main Site. Apply via Workday.

Work Flexibility: Onsite It's Time to Join Stryker! Stryker is seeking a Staff Electrical Engineer to support the design and development of electrical systems and subsystems for complex medical devices. In this role, you will apply your electrical engineering expertise across design, prototyping, testing, troubleshooting, and documentation. You will translate product and customer needs into engineering requirements and robust electrical designs while collaborating closely with cross-functional teams throughout the product development lifecycle. What You Will Do Electrical Design and Development Design and develop electrical components, circuits, and subsystems for medical devices. Translate design inputs and system requirements into electrical engineering specifications and detailed designs. Develop, evaluate, and refine design concepts through analysis, prototyping, simulation, and bench testing. Apply advanced electrical test methods to evaluate component and subsystem performance. Investigate complex technical problems, identify potential solutions, and evaluate design alternatives against product and subsystem requirements. Conduct technical research, analysis, and engineering studies to support design decisions and product development. Assess system-level impacts and dependencies associated with electrical design choices. Verification and Technical Execution Develop and execute test methods to evaluate electrical designs, components, and subsystems. Analyze test results, troubleshoot design issues, and drive problems to root cause and resolution. Apply engineering analysis, modeling, simulation, and statistical methods as appropriate to support design decisions. Partner with other engineering dis

As a Staff Product Manager on Datadog's Observability Data Platform (ODP) , you will lead product management for a portfolio of foundational platform bets — work that changes the cost structure and capability of the platform itself, not the cost of any single feature. Among ODP’s portfolio of engineering work are efforts to bring the platform's unit cost down meaningfully each quarter, plus a slate of architectural bets aimed at order-of-magnitude cost reduction over the longer horizon. The work you'll lead reshapes how Datadog ingests, routes, and exposes telemetry value to customers — and is foundational to how every product team in Datadog's ecosystem will think about telemetry economics going forward. This role reports to the Group Product Manager of ODP. What You'll Do: Set product direction across foundational platform bets by defining problems and desired outcomes, partnering with engineering to determine slices of work that drive value in phases for users and the business. Collaborate on the long-term cost-and-value architecture of the platform — how value-aware telemetry, innovative data engines, and customer-facing cost stories fit together over multiple quarters. Develop and defend sizing and impact estimates for large, diffuse programs — credibly produce the analysis that engineering leadership and pricing partners need to make resourcing and prioritization calls. Anticipate and communicate market trends in telemetry economics and agentic observability and how they shape platform investment. Develop deep understanding of cost-to-serve by partnering with engineering on the unit economics of the data platform and bring that cost-profile understanding into collaborative discussions with product verticals about customer-facing trade-offs. Surface the customer-positive angles in cost work that engineering-led optimization tickets don't currently make visible. Deliver concise written and verbal communication to executive, engineering, and customer audien

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! Why this role? As a Member of Technical Staff in Data Analysis and Evaluation, you will play a pivotal role in ensuring the quality, reliability, and performance of our large language models (LLMs). Your primary focus will be on designing and conducting data collection tasks, assessing and evaluating dataset quality, and analysing the robustness and generalisability of our models. You will work closely with cross-functional teams, including researchers, engineers, and data annotators, to conduct data-driven decision-making and improve the overall effectiveness of our AI systems. This role combines expertise in statistics, experimental design incl. human annotators, and machine learning to ensure that our models are trained on high-quality data and perform reliably across diverse scenarios. You will contribute to Cohere’s mission of advancing AI by ensuring our systems are robust, scalable, and impactful. Please Note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role. As a Member of Technical Staff

Staff/Senior Engineer CE PYE (Physical Failure Analysis/Fault Isolation) — 2 Locations. Apply via Workday.

Staff/Senior Engineer CE PYE (Physical Failure Analysis/Fault Isolation) — 2 Locations. Apply via Workday.

Staff/Senior Engineer CE PYE (Physical Failure Analysis/Fault Isolation) — 2 Locations. Apply via Workday.

Staff Engineer, Electrical Failure Analysis — Taichung - Fab 16, Taiwan. Apply via Workday.

About Prophecy The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world's top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. To learn more, visit us on LinkedIn. Position Summary This is an exceptional opportunity to be a technical leader on the team that powers the heart of Prophecy: the Runtime, our orchestration and execution service. Every data workflow , whether generated by our AI data agents or built by a human in the visual editor , is planned, scheduled, and run at enterprise scale by Runtime, directly against the customer's own platform (Databricks, Snowflake, BigQuery, and more). When a business user asks an agent a question and sees trusted results seconds later, Runtime is what made it happen. As a Staff Engineer, you will set the technical direction for this service: the distributed execution engine, the task coordinator, the multi-engine connectors, and the fast interactive previews that make the AI-native experience feel instant. You will own hard, ambiguous, high-leverage problems end-to-end , from architecture to production reliability , and raise the bar for the engineers around you. We're seeking A players to work with A players. We're a high-growth company on a once-in-a-lifetime journey to revolutionize the way data is prepared and analyzed. Be a part of it. The impact you will have Own the engine behind the product. Architect and evolve the runtime service that turns agent- and human-authored data workflows into high-performance jobs that run reliably in production and interactively during authoring. This is deep-tech at the center of the platform. Make it fast and make it scale. Design the distributed execution and task-coordination layer , schedul

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. As a Staff Engineer in Micron’s HBM Product Engineering Component Validation team, you will be an individual contributor responsible for the validation of advanced High Bandwidth Memory (HBM) products. You will use proven knowledge in dynamic random-access memory and high-bandwidth memory architecture to compose validation coverage, implement and analyze validation runs, lead product debug and failure analysis toward a zero-escape validation goal across test modes and product achievements. You will also adopt AI-enabled ways of working, using enterprise AI tools to accelerate your engineering tasks and improve efficiency, work within Micron’s global validation organization and collaborate with groups at different locations. Responsibilities: Translate DRAM/HBM develop intent and architecture into effective verification scope and test cases. Contribute to validation of new and high-risk product features, working with Design Validation, and Systems Engineering. Review design specifications, schematics, and datasheets, provide design feedback and represent the Product Engineering perspective in Design and Verification reviews. Read, analyze, and debug circuit blueprints to detect design-related failure mechanisms, and recommend approaches for verification and fault diagnosis. Perform root-cause analysis and examination of electrical failures (debug) of validation findings, distinguishing developed marginality from process and test-related issues. Apply automation and modern tooling (including