Engineering Lead Analyst Jobs

You define how the codebase is built. On-site | Vancouver Office – 675 W Hastings St. The Problem We're Solving EviSmart is building the unified dashboard platform where every product surface comes together — the interface lab owners use to manage cases, access analytics, and launch AI-powered tools. It doesn’t have a frontend foundation yet. What exists is a clear product direction, a backend that’s ready to connect, and an engineering team that needs someone to draw the lines before anyone starts building. Why EviSmart 300 people. Two hubs: Vancouver HQ and Manila operations. 145% year-over-year SaaS growth — the market is responding. 28 countries. One platform. The dental industry's Autopilot. An in-house AI model research and development team building proprietary intelligence. Why This Role, Right Now Most senior frontend engineers join products with foundations already in place — someone else made the hard calls, and your job is to build within them. This is the opposite. There is no existing dashboard frontend, no technical debt to inherit, and no architectural decisions that constrain you yet. The person who joins now makes the foundational choices that the entire frontend team builds on for the next several years. The first product milestone is aggressive, the customer base is real and global, and the backend is ready. What doesn’t exist yet is the engineer who sets the direction. A Note from the Team “We’re not looking for someone who needs a clear spec before they can move. We need someone who can audit what exists, make a recommendation, and execute on it. If you’ve been the person who sets the technical direction that your team builds on, and you want to do that at a scale that actually matters, this is that conversation.” — Paolo Kalaw, CEO, EviSmart What You’ll Own Own the React JS / TypeScript frontend architecture for a new dashboard platform — the unified interface where all products connect. De

What we’re doing isn’t easy, but nothing worth doing ever is. Diligent builds helpful robots that work safely and autonomously in real world environments. We move quickly, solve messy problems, and care deeply about reliability at scale. As a Fleet Engineer, you'll own the reliability and continuous improvement of our deployed robotic fleet — leading hands-on investigations into how and why robots fail in the field, across the mobile base, charging/docking, motion and power, connectivity (modem), and sensor hardware. You'll combine remote data analysis with bench/lab failure analysis at our Austin HQ, turning field-technician reports and fleet data into clear problem statements, validated root causes, and corrective actions driven to closure with engineering, operations, manufacturing, and vendors. We are hiring a Lead Engineer, Issue Management & Triage to lead the systems, tooling, and team at the intersection of our Customers, Remote Operations Center (ROC), and Engineering. This is a highly technical, hands-on role focused on building the infrastructure that powers how we detect, triage, diagnose, and resolve issues across a deployed robotic fleet. You will work deeply with Engineering teams to design classification frameworks, build internal tools, and develop automation pipelines that improve reliability at scale. Location: Austin preferred, Remote possible (U.S.) Travel: if remote up to ~50% travel to Austin, TX (especially in the your first 90 days) What You’ll Do: Own Issue Management & Triage Systems Design and own end-to-end systems for issue intake, triage, and escalation. Define severity frameworks, SLAs, and ensure issues are consistently structured for engineering prioritization. Build Tools & Automation (Hands-On) Develop automation and pipelines to ingest, process, and classify operational data, reducing manual triage effort. Contribute directly to codebases (Python, backend services) and partner with Engineer

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join the Exa team and lead the charge in redefining enterprise storage by unifying block, file, and object protocols across hybrid-cloud environments. You will combine deep technical expertise in distributed systems with hands-on people leadership to guide architectural decisions and mentor high-impact engineers. This is a unique opportunity to build new engineering teams from the ground up and drive industry-leading innovation alongside Product and Architecture partners. Your work will directly impact how customers consume, scale, and operate mission-critical storage infrastructure. WHAT YOU'LL DO Drive End-to-End System Architecture: Lead the architectural evolution and end-to-end delivery of high-performance, resilient storage systems from initial design concepts to high-quality shipped products. Optimize for Modern Data Workloads: Design and implement robust algorithms and concurrent platform solutions engineered for modern data pipelines, AI infrastructure, distributed computing, and enterprise analytics. Resolve Complex System Engineering Challenges: Apply deep root-cause analysis and system-level insight to solve multi-threaded, high-concurrency performance and reliability issues across Linux platform internals. Cross-Functional Ownership & Leadership: Collaborate across product management, validation, and support teams to align technical roadmaps, establish architectural standards, and drive enterprise

Envoy Global is a proven innovator in the global immigration space. Our mission combines our industry-leading tech platform with holistic service to streamline, simplify and expedite the immigration process for employers and individuals. We are looking for a highly skilled Lead Software Engineer to join our team on a full-time, permanent basis. In this role, you will lead the design and implementation of robust, scalable systems, provide technical direction to the team, and take ownership of end-to-end delivery. You will play a key role in building high-quality solutions across APIs, microservices, and integrations, while driving engineering excellence and best practices. As our Lead Engineer, you will be required to: Design, code, and unit test platform and integration components Develop frameworks for standardizing and enabling data flows via APIs, files, microservices, and message queues. Provide technical guidance to the team and take ownership of delivery Responsible to technically groom backlog items providing design, architecture, and implementation details Quality is the key driver to product engineering, ensure highly testable and quality deliverables To apply for this role, you should possess the following skills, experience and qualifications: Minimum 8+ years of strong programming experience on .NET platform, Microsoft Tech Stack Expertise in C#, ASP.NET Web API / Typescript / Angular (or any front-end framework or passion to learn Angular) Experience developing with containers, micro-services, and message queues Dedication to delivering high-performance, secure and scalable services Experience working with a wide variety of systems and integrating APIs from third parties Hands on experience with SQL and query optimization Analytical and troubleshooting skills to investigate and resolve issues Ability to dig through Memory, CPU and IO bottlenecks to improve performance and scalability Azure experience is a plus Knowledge and experience

About the Team As DoorDash continues to expand rapidly, our Core Consumer team plays a pivotal role in shaping the consumer experience through enhancing personalization, search relevance, merchandising strategy, app quality, and the overall ordering experience. Our mission is to implement scalable data solutions and provide insights that directly influence our strategic product direction. We are looking for an Analytics Senior Manager to lead our Discovery team. About the Role As a Senior Manager of Data Science/Analytics, you’ll be leading a team of data scientists who are working on improving the consumer experience. You will develop strategic insights and work closely with the product, engineering, strategy and operations teams to actively build and measure the impact of new features. You will oversee our metrics and analytics strategy to inform strategic product direction, offer technical leadership and build processes to support velocity, and partner with data and product engineers to build robust data foundations. You're excited about this opportunity because you will… Lead and develop a team of Data Scientists in investigating complex issues and uncovering key drivers of our business, along with your own contributions as an Individual Contributor Influence the Product and Operations roadmap by making actionable recommendations based on data Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses We're excited about you because you have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain Experience managing a team of data scientists, and a track record of delivering impactful analyses 8+ years of experience i

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. On the Rider team, we are growing our team with people who want to enrich the lives of our community through technology. You'll collaborate with highly cross-functional teams such as Product, Design, Data science, and Analytics, as well as other organizations like Driver, Partners, and Marketplace, to deliver on that promise. As the Senior Engineering Manager for the Rider Loyalty, Partnerships, and Rider Pay (PLP) group, you will lead multiple managers and Staff ICs with end-to-end teams, consisting of iOS, Android, and Server, to make Riders into Members and to build a robust network of partners that our Riders love. It is your responsibility to sweat the details by being customer-obsessed with specific Rider needs and to build innovative product solutions to address them. Responsibilities: Set the technical vision and team strategy for the PLP group and communicate that downwards, with peers, and upwards with ELT Coach and guide an organization of managers and engineers in their people and technical development Collaborate with cross-functional stakeholders to deliver high business impact Work closely with the Lyft recruiting team to hire high-potential candidates from diverse backgrounds Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or a related field, or relevant work experience 3+ years of experience managing engineering teams of 20+ members, including teams across iOS, Android, and Server platforms, as well as experience in managing managers Ability to thrive in a heavily cross-functional environment and drive projects to completion regardless of the organizational structure Passion for building scalable and extensible solutions that enable others and ensure a high-quality product Experience launching and supporting consumer-facing products at scale Strong technica

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Description Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. About Airbnb Capability Center: Airbnb Capability Centre was set up in 2017 in Gurgaon. We provide specialized operational services which enable Airbnb's business and functions across the world. These include Finance Technology, Finance Shared Services, Analytics, Engineering, amongst other verticals. Our offices are home to multi-skilled teams with an insightful and deep understanding of our business and community. We're hospitable, fun and we welcome all with open arms. The Community you will join: Our small and extremely capable team of Gurgaon-based colleagues strive to make the impossible happen for our inbound and outbound travelers within this big and diverse market. ACC is providing varied services under Community Support thereby providing world-class customer experience to our customers. Besides this, ACC is also building deep capabilities for different verticals like Homes, Finance Technology Group, Finance Shared Services, Payments, Analytics, etc. The Payments (Payments Risk and Compliance Team) team’s mission is to keep the online payment ecosystem safe and optimized to enable anyone, anywhere to pay and be paid with confidence, create a world-class compliance organization and have a data driven approach to building an innovat

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the role: He/She/They will troubleshoot, debug, evaluate and resolve customer impacting issues with a focus on detecting patterns and working with the engineering development and/or product teams to eliminate defects. The position requires a combination of strong troubleshooting, technical, communication and problem solving skills. This job requires you to constantly hit the ground running and your ability to learn quickly and work on disparate and overlapping tasks will define your success. Educational qualification: 5 to 7 years experience into TechOps role Good knowledge of Linux environment and having an idea about shell scripting. Good knowledge of SQL. Basic knowledge of AWS. Basic knowledge of Java. Rest API working experience to execute curl, analysing request and response, HTTP codes etc. Should be familiar with regular networking protocols (DNS, HTTP(S), SSH, FTP, SMTP) and its use cases. Why join us · Because you get an opportunity to make a difference, and have a great time doing that. · You are challenged and encouraged here to do stuff that is meaningful for you and for those we serve. · You should work with us if you think seriously about what technology can do for people. · We are successful, and our successes are rooted in our people collective energy and unwavering focus on the customer, and that's how it will always be. Compensation: If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & mer

About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire an Enterprise GTM Lead to own the go to market charter for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead business managers and client onboarding managers, and will work closely with enterprise sales teams to drive pipeline, deal conversion, onboarding, and client success. The role sits at the center of Paytm’s enterprise AI charter and involves shaping GTM strategy, enabling sales teams, supporting client pitches, structuring commercials, and ensuring strong post sale execution. The candidate will be responsible for building a repeatable enterprise sales motion for Paytm AI agents, including Pi Commerce and future AI products. The role requires strong commercial judgment, enterprise stakeholder management, execution discipline, and ability to work across sales, product, technology, finance, and marketing teams. Key Responsibilities Enterprise GTM Strategy and Business Ownership Own the enterprise GTM strategy for Paytm AI agents across existing and new enterprise clients. Build and execute sales enablement, pipeline generation, deal conversion, onboarding, and account expansion plans. Work with leadership to define target segme

Become a part of our caring community The Lead Technology Leadership Professional is responsible for all aspects of software or hardware product delivery and performance. The Lead Technology Leadership Professional works on problems of diverse scope and complexity ranging from moderate to substantial. The Lead Technology Leadership Professional works with design engineering and test team to drive products from design completion to volume production release. Performs various engineering tests to verify and validate product designs. Supports product evaluation and qualification on leading edge technology components. Ensures that production schedules are followed and product(s) meet specifications and quality requirements. Interacts with product engineering, quality, manufacturing and marketing teams to analyze and provide technical support to help resolve customers' product related problems/issues. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action. Use your skills to make an impact Required Qualifications Bachelor's degree 2 or more years of project leadership experience Experience with the technologies in use in the application(s) or infrastructure Experience with unit testing and mocking Ability to manage multiple tasks and deadlines with attention to detail. Ability to communicate effectively and deliver presentations to senior leaders Advanced experience leading special projects and producing metrics, measurements and trend reports Must be passionate about

Become a part of our caring community Humana’s Product organization is seeking a Lead Product Manager to drive the strategy, development, and optimization of the Adobe Experience Platform (AEP) in support of Adobe Web Integrations for Authenticated and Unauthenticated Web Channels. In this role, you will serve as a key product leader responsible for translating business needs into platform capabilities that enable personalized, data-driven customer experiences. You’ll work closely with cross-functional teams to deliver scalable solutions across Real-Time CDP, Journey Optimizer, and Customer Journey Analytics. This role is focused on growing adoption and usage of Adobe Experience Platform as an enterprise platform while supporting and scaling capabilities to support Authenticated (MyH) and Unauthenticated ( H.com) driving dynamic, context-aware customer engagement on Web channels. Success in this role means partnering with key lines of business to translate requirements into detailed product features for engineering teams to enable, while building decisioning strategies that optimize customer outcomes and business value. Key Role Functions Product Strategy & Vision Collaboratively own and manage the product backlo

About the Team The Customer Experience team serves as a foundational operations pillar at DoorDash, dedicated to resolving friction within the last mile. We architect and oversee an expansive global network of support centers — spanning both teammate-assisted and AI-driven support — obsessing over the user journey to ensure every interaction is seamless and reliable. As the analytics team, our mission is to make every support interaction measurably better: we define what a great resolution looks like, quantify where we fall short, and turn that into a roadmap for product, operations, and AI/ML partners. We are looking for a Manager to lead and grow the analytics team behind our core support experience. About the Role As a Manager on the Customer Experience Analytics team, you'll set the analytical vision for how DoorDash measures and improves customer resolutions across our global network of support teammates and their interactions with our customers. You'll lead and grow a team of data scientists working at the intersection of customer experience quality and operational cost — uncovering opportunities to drive perfect interactions and informing improvements to teammate tooling that leverages AI-driven resolutions. You'll establish a clear measurement framework for resolution quality, own insights to drive strategy and roadmap, and align partners across CX, Product, Engineering, Operations, and AI/ML. This is a high-visibility leadership role: success means better outcomes for customers, a more effective support organization, and a team of data scientists who are growing in their craft. You're excited about this opportunity because you will… Lead, grow, and develop a team of data scientists — providing mentorship, feedback, and clear career development pathways. Set the analytical vision for the core support experience, defining what a great customer resolution looks like and building the metrics to measure it. Uncover opportunities to drive perfect interactions, tr

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. We are looking for a hands-on Senior QA Consultant to lead end-to-end testing of AI and Generative AI applications across enterprise environments. This role combines strong expertise in traditional QA engineering with modern AI evaluation and validation practices. The ideal candidate will drive quality assurance initiatives for RAG pipelines, multi-agent systems, OCR and Speech-to-Text solutions while ensuring production grade quality outcomes in regulated industries such as Finance, Healthcare, and Insurance. The successful candidate will lead a small QA pod, collaborate closely with engineering, AI/ML, product, and business teams, and act as the client-facing QA owner for enterprise AI engagements. This role requires strong technical leadership, automation expertise, AI evaluation capabilities, and excellent stakeholder management skills. Experience Requirements • 10–15 years of experie

Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will leading initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats such as Operator, Product Manager and customer-facing Engagement Manager. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to an accelerated career progression. You will: Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market) Partner with product and engineering teams to enhance products to fulfill needs of strategic customers and initiatives Own the execution of our data labeling operations for strategic projects Give regular progress updates to Scale’s executive team Work on some of the most impactful problems at the company Ideally, you’d have: Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python). 2+ years of experience leading a team, developing product or operational processes, or as a SWE. Strong problem solving capabilities (experience working on operational challenges or as a consultant is a plus). Entrepreneurial experience and mindset - you are excited about building things from scratch Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted e

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineeri