Senior Engineering Manager Data Platform 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 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 the Team The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we’re building a best-in-class Forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more. We are developing scalable forecasting infrastructure to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy - supporting key investment decisions and unlocking OpenAI’s full potential. About the Role We’re looking for a senior Machine Learning Data Scientist to lead our forecasting initiatives. You’ll be one of the founding members of the Forecasting pillar within Strategic Finance Data Science, responsible for building and scaling robust, interpretable, and production-ready forecasting systems. Your models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, LTV, compute consumption, and profitability. This is a highly cross-functional role, requiring technical excellence, strong product intuition, and business acumen. You’ll collaborate with product managers, researchers, engineers, and finance leaders to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains. Own the end-to-end modeling lifecycle , including scoping, feature engineerin

Who we are About Stripe Stripe is a technology company that builds economic infrastructure for the internet. Businesses of all sizes—from new startups to public companies like Amazon and Salesforce—use our software to accept online payments and run technically sophisticated financial operations in more than 100 countries. By helping businesses accept payments from anywhere in the world and accelerating the economic shift from offline to online, we aim to increase the GDP of the internet. About the team Stripe’s Leadership Recruiting Team (LRT) is a high-performing group of strategic and creative problem solvers. We are passionate about finding and hiring the very best leaders and experts from around the globe to help drive the next arc of Stripe’s growth. What you’ll do In this role, you will be directly responsible for partnering with senior stakeholders to identify, attract, assess, and hire individuals for leadership roles across the company. Responsibilities Strategically partner with executives to hire top talent for Stripe’s highest priority engineering leadership roles Define, design, and implement recruiting processes and search engagements for a variety of senior leadership roles. This includes understanding and mapping the talent landscape, internal calibration and referrals, and matching those data points with the external talent supply Manage end-to-end leadership-level searches from inception of candidate contact to onboarding, including research, outreach strategies, candidate experience, negotiations, partnering with HR for successful onboarding, and communicating with stakeholders along the way Collaborate with cross-functional partners, such as People Partners, Compensation, and Business Leads, to align hiring goals with business needs Develop competency-based interviews that surface a candidate’s full range of capabilities, explore their aspirations, and gain insight into how their experience will apply to a leadership role at Stripe Fo

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is seeking its first dedicated Financial Crimes Compliance Controls Senior Strategist to build and own the framework that demonstrates FCC controls are working as intended, remain effective as risk evolves, and can be clearly supported in bank-partner, audit, and regulatory examinations. This is a senior individual-contributor role at the intersection of financial-crimes compliance, controls effectiveness, technology, data, and AI-enabled operations. You will own FCC’s approach to testing, documenting, and improving manual and automated controls, including procedures, detection rules, AI and LLM-enabled workflows, and automation deployments. You will serve as FCC’s dedicated compliance partner for program-level Product, Engineering, Design, and Data (“PEDD”) initiatives, ensuring FCC requirements, controls, and risk considerations are incorporated into strategic product and technology planning. This role complements the broader team’s cross-functional partnerships by focusing specifically on major PEDD-led initiatives. This is a

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role You'll be the architect of our endpoint security posture across the full fleet — macOS, Windows, and BYOD mobile devices. You'll build secure-by-default controls with Terraform and GitOps, harden endpoints at scale, and automate the full device lifecycle so nothing depends on a human remembering to click the right button. You'll partner with IT, SecOps, and engineering teams to sharpen our telemetry and detections, mentor other engineers, and raise the bar on what "low-friction security" actually means. Everything you ship will be auditable, measurable, and built for the long run. We're also thinking seriously about how corporate security evolves in an agentic world — where AI agents act on behalf of employees and traditional identity and endpoint assumptions break down. You'll help us shape that answer. What You’ll Do Write and ship MDM policy as code — configuration profiles, remediation scripts, and enforcement rules across macOS, Windows, and mobile — with staged rollouts and rollback from day one Build patch automation that close

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is looking for a Senior Underwriter to join our Underwriting team in Europe. You’ll evaluate businesses applying to Ramp, make credit and risk decisions, and help improve how we assess customers across our products. This is an early regional role supporting EU and US applicants. We’re looking for someone with strong financial judgment who can work independently, make clear decisions with incomplete information, and help us build scalable underwriting processes. What You’ll Do Review applications for Ramp’s corporate card and bill pay products across the EU and US. Analyze financial statements, bank data, bureau information, and other risk signals to assess business health and repayment ability. Recommend the appropriate outcome, including approval, decline, a lower limit, or a request for additional information. Communicate clearly with customers when additional information or context is needed. Manage an underwriting queue while meeting quality and SLA expectations. Partner with teams across Risk, Product, Engineering, Sales, an

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Design is core to how we build products at Ramp. We're hiring a recruiter to help shape the team that will be responsible for it. You'll partner with design leadership to hire across Product Design, Design Engineering, and Brand Design. You'll lead searches from inception to close, helping teams identify, assess, and hire exceptional designers. The best designers are rarely on the market. A big part of the job is fostering relationships before someone starts their job search: through events, referrals, and ongoing engagement with the design community. You'll help Ramp stay connected to talent and cultivate the networks that drive future hiring. What You’ll Do Own full-cycle recruiting across Product Design, Design Engineering, and Brand Design Partner with design leadership to define hiring needs, align on candidate profiles, and calibrate talent across a range of design disciplines Identify and engage talent through X, portfolio sites, and other industry channels Build relationships with designers through referrals, events, and ongoi

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Senior Data Scientist II to build the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll work end-to-end framing problems, building models across the modern ML and deep learning toolkit, designing sub-agents that reason and act, and shipping all of it into production for millions of users. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are curious, technically rigorous, and can translate complex modeling and sub-agent behavior into clear recommendations for your partners. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position initially reports to the VP of Data Science located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Design and ship AI sub-agents that act across the customer lifecycle, combining predictive models, retrieved context, and LLM reasoning to recommend or take action Build the predictive and prescriptive models that power those sub-agents churn risk, growth, adoption trajectories, account health scoring, and similar lifecycle problems Develop the data foundations and knowledge layer those sub-agents reason over, applying responsible aggregation and privacy-aware design Design the tools, retrieval, and grounding strategies each sub-agent uses; decide when a s

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. Summary Department Introduction The Front End Process and Cost Transformation (PROCT) team drives manufacturing performance by improving cost, productivity, operational efficiency, and process capability across Micron’s semiconductor fabrication network. The team partners closely with engineering, manufacturing, and business leaders to deliver pivotal initiatives that accelerate performance, optimize resources, and support Micron’s business objectives! Position Overview As a Fab PROCT FE Engineer, you will lead initiatives that improve manufacturing cost, maximize factory performance, and drive business process improvements across Front End operations. You will partner with multi-functional teams to find opportunities, solve complex operational challenges, and implement data-driven solutions that improve productivity, quality, and operational efficiency. This role combines program leadership, technical expertise, and strategic execution to deliver measurable business impact. Responsibilities Lead initiatives that support Front End cost reduction, productivity improvement, and factory output optimization goals Develop and execute multi-functional programs aligned with manufacturing and corporate business objectives Define project scope, objectives, timelines, deliverables, and resource requirements in collaboration with key stakeholders Establish program structures, manage dependencies, and track achievements to ensure successful execution Drive achievement of Integra

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: As a Senior People Business Partner at SoFi, you will serve as a strategic advisor and advocate for both the business and our employees. In this pivotal role, you will partner with Financial Services and Borrow/Operations Engineering leadership to drive influence and solve complex organizational challenges with scalable, high-impact solutions. What you’ll do: Partner with leaders to advise and influence the creation of measurable, actionable strategic plans. Act as an objective resource and champion for the Engineering team and broader employee population. Manage complex employee relations with discretion, providing executive coaching and facilitating constructive feedback loops. Leverage deep HR expertise to lead initiatives in org design, compensation, performance management, D&I, and employee development. Drive data-informed decision-making using people analytics and organizational health metrics. Execute strong judgment and discretion to ensure positive, professional outcomes. Champion the company culture by embodying and promoting "The SoFi Way." Cultivate robust, collaborative relationships with key stakeholders across the organization. Collaborate with People Team Centers of Excellence (CoEs) to execute strategic initiatives and support business goals. What you’ll need: 6+ years as an H

JOB TITLE Senior Storage Engineer A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO The Senior Storage Engineer will be responsible for monitoring, implementation, and management of the organization's File/Block storage infrastructure. This role requires to cover one of the 2 possible shifts in India as well as a deep understanding of File/Block storage technologies and cloud-based solutions, with a focus on ensuring data availability, scalability, and security. The ideal candidate will have extensive experience in storage engineering and a proven ability to manage complex storage environments. • Provide advanced troubleshooting and support for complex storage issues, minimizing downtime and ensuring seamless operations. • Oversee and optimize File/Block storage systems, ensuring high availability and performance. • Conduct capacity planning and forecasting to ensure adequate storage resources are available to meet future demands. • Monitor storage performance and work with US resource to find recommendations for improvements to enhance efficiency and reduce costs. • Implement integration and automation solutions and provide feedback for solution to US Team to streamline operations and improve storage management. • Implement robust security measures to protect data integrity and ensure compliance with industry regulations and standards. • Maintain comprehensive documentation of storage configurations and processes and provide training and guidance to junior team members. WHAT’S

Role Purpose 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 orchestrators like Airflow. Cloud Native: Hands-on ex

Citibank, N.A. seeks an Applications Development Tech Lead Analyst for its Tampa, Florida location. Duties: Responsible for source code review to ensure it satisfies good coding practice. Coordinate all communication between tech team and Ab Initio vendor, including scheduling and chairing weekly meetings. Responsible for reconfiguration and reengineering to optimize performance. Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design. Prepare reports or correspondence concerning project specifications, activities, or status. Confer with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces. Manage the hardware infrastructure and monitor the performance metrices E2E. Identify areas of growth need and proposal scale up activities. Execute on scale up activities by submitting procurement requests, manage regular calls with the deployment team and plan go live/switch activity. Develop shell scripting code base to support the job executions, interactions between systems. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols. Requirements: Requires a Bachelor’s degree, or foreign equivalent in Information Technology, Engineering (any) or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Associate Director – Data Engineering, Senior Consultant, Data Specialist, Assistant Systems Engineer or related position involving gathering new business requirements, architecture, analysis, estimation, design, implementation, and leading a team of software developers and software development. 6 years of experience must include: Experience with AbInitio Data Processing (SME), Data Modeling

Location : Coimbatore (Gandhipuram / Ganapathy / Saravanampatti / Saibaba colony / Thudiyalur / Kavundampalayam / Peelamedu / Pappanaickenpalayam / Thennampalayam / Arasur / Chinniampalayam / Neelambur / Sulur) Contact : 88702 66194 Industry : Engineering Industries / Telecom Sector Qualification : Any ITI / Diploma / Degree Male / Female Freshers / Experienced : 0 - 4 yrs Salary : 13000/- to 30000/- Positions:- 1. Telecallers / Back Office Female Experienced (15000/- to 18000/-) 1A. HR Managers / Senior HR Executives (25000/- to 30000/-) 1B. Accountants (Tally & GST) - Female (15000/- to 20000/-) 1D. Billing Clerks / Receptionists Male/Female (13000/- to 17000/-) 1C. Showroom In-charge / Sales Co-Ordinators (20000 25000/-) 2. System Operators - (Female) - 12000/- 2A. Quality Assistants / Office Assistants - (Female) : 12000/- 3. Data Entry Operators - (Female) -12000/- to 14000/- 4. Accounts Assistants - (Female) - 12000/- to 15000/- 5. Admin Staff / Office Executives - (Female) - 12000/- to 15000/- 6. Customer Support Executives - (Female) - 12000/- to 15000/- 7. Showroom In-Charge - (Female) - 20000/- 8. Sales Co-Ordinators - (Female) - 16000/- 9. HR Executives / HR Co-Ordinators - (Male) - 15000/- to 18000/- 10. Field Supervisors (Male/Freshers) 18000/- 11. Marketing / Business Executives - (Male) - 18000/- to 25000/- 12. Store Keeper / Warehouse Executives - (Male) - 12000/- 13. Machine Operators / Helpers / Assistants - (Male) - 20000/- 14. Quality Assistants / Quality Inspectors - (Male) - 20000/- 15. Cylindrical Grinding Operators - (Male) - 25000/- to 35000/- 16. Design Engineers / CAD Engineers - Mech (Male) - 13000/- to 25000/- 17. CMM Operators - (Male) - 15000/- to 22000/- Timing : 9.30AM 6.30 PM Sunday Holiday Contact : 88702 66194

We are looking for a Quantitative Equity Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion USD in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging finance skills and cutting-edge technology, we ensure data quality, continuous process improvement, and operational excellence. As a core member of our team, you'll collaborate with investment experts to tackle challenging analytical problems, be accountable to ensure accurate and timely trade generation, and drive operational innovation. Based in West Coast Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment engine and overall success. What You Will Do This is an exciting full-time role for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science and process engineering skillsets to accelerate the Quantitative Equities Team’s various investment functions. Your specialized role may involve building, scaling, managing and/or analyzing our quantitative model, portfolios, data assets and optimizers. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Investment Process Management The team you will be joi