Lead Modeling And Simulation Engineer Jobs

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake's Data Engineering organization builds the platform that ingests, transforms, and stores data for modern lakehouse architectures — powering billions of queries, DML, and DDL operations with industry-leading price-performance. We lead the industry's shift to open data lakes through our work on Iceberg and Polaris, and we deliver capabilities like Snowpark, Dynamic Tables, cross-region replication, time travel, and zero-copy cloning at enterprise scale. We are investing in a new line of applied research — building toward verified data infrastructure and trustworthy data systems — that brings formal methods, automated reasoning, and modern AI techniques to bear on the hardest problems in our distributed systems and developer tooling. The goal is to improve correctness, reliability, and engineering velocity at a scale very few platforms operate at. We're hiring at both the Staff and Principal level; we'll calibrate the offer to the candidate's experience and scope of impact. What you'll do Lead research projects that apply formal methods, program analysis, automated reasoning, and AI-driven techniques (including code generation and modeling) to real problems in our cloud data platform. Translate research ideas into prototypes, then into shipped capabilities that move

Zoox is seeking a high-agency, hands-on Lead Analytics Engineer to bridge the gap between our complex enterprise data sources and our AI-driven decision-making systems. You will lead the design and implementation of our semantic layer and data modeling strategy, ensuring that data from SAP (S/4HANA, Ariba, BRIM, ME), Workday, Salesforce, and Anaplan is transformed into clean, performant, and "AI-ready" datasets. This is a critical leadership role for a builder who wants to own the data foundation that powers our intelligent agents and business-wide analytical workflows. In this role, you will: Design and maintain a unified semantic model that provides a "single source of truth" for cross-functional stakeholders, AI Agents, Self Serve Analytics and Executive dashboards. Collaborate with Data & AI Engineers to structure and optimize the data that allows to query enterprise knowledge with high accuracy and low latency. Establish organizational standards for data modeling, version control, testing, and documentation to ensure high data quality and system maintainability. Implement automated testing and observability frameworks that proactively identify data anomalies and "self-heal" pipelines, ensuring our data is always reliable for downstream consumption. Partner with cross-functional business leaders to translate complex operational requirements into high-impact, scalable data solutions. Qualifications: 10+ years in Data Engineering & Analytics, with extensive hands-on experience building a semantic framework using Python, SQL and modern orchestration frameworks (e.g. Airflow, Lakeflow, Argo). With at least 2+ years of hands-on experience deploying AI generated code. Extensive experience using modern data stacks (e.g. Snowflake/Databricks, Big Query) to build complex, enterprise-grade data models. Deep understanding of data structures within large-scale enterprise platf

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. The Central Market Management organization at Lyft is responsible for accelerating the growth of the business and for delivering our top business/company goals related to marketplace and business performance. Within Central Market Management, the Decisions & Insights team identifies and develops an understanding of our marketplace’s most critical problems & opportunities and creates business & product strategies to address them. We’re looking for an Analytics Lead to drive deep dive business & product analyses and drive growth. The ideal candidate has strong analytical problem solving skills, effective communication skills, and proactively takes ownership of their workstreams. Responsibilities: Develop hypotheses and analytical frameworks for understanding market dynamics and provide recommendations to senior leadership. Influence business strategy and product roadmaps through insightful analytics and business modeling. Be an analytical thought leader. Analyze marketplace product & marketplace trends and provide cross-functional teams with actionable insights on improvements and problem areas. Work in a fast-paced environment and effectively manage time to deliver business impact in a time-efficient manner Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements Be proactive in pursuing opportunities and have a true ownership mindset to get things done Experience: 5+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup Experience in leading high visibility projects and influencing others in a cross-functional team environment Experience in communicating with and presenting to senior leaders and data st

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. We are hiring a Business Systems Lead to own the sales technology behind Lyft Ads. As the senior technical owner of the Lyft Ads CRM and commercial systems, you will lead solution design across Salesforce and the connected ad-sales stack and own the architecture for how ad deals move from opportunity through order management and billing. You will work alongside a team of Salesforce engineers and partner closely with Ads Sales, Sales Operations, Ad Operations, Finance, Legal, and the Media engineering teams. This is a hands-on leadership role for someone who knows ad-sales operations and can build the systems that run them. Responsibilities: Own the Salesforce architecture for the ad-sales lifecycle, from lead sourcing and opportunity creation through Order Management System (OMS) integration, contract execution, delivery reconciliation, and billing. Identify problems and opportunities across the Ads sales technology stack and shape them into scoped, funded initiatives. Lead requirements with Ads Sales, Sales Operations, Ad Operations, Finance, and Legal partners, and translate them into functional and technical designs. Own the integrations that connect Salesforce to the ad-sales ecosystem, including order management and contract systems, the ad server, and billing, through middleware such as Workato or Boomi. Drive AI best practices across the Sales Technology team, modeling effective usage and ensuring all AI-generated output meets Lyft's standards for quality, security, and performance. Guide the evolution of the Ads CRM platform, including the media-specific data model (agency, advertiser, and brand hierarchies, insertion orders, and flights) and own the Ad Sales Technology roadmap . Lead contract lifecycle management for Ads, including intake automation and Salesforce integration. Remain h

Job Details: Job Description: The Role and Impact We are seeking a dynamic individual to lead global supply chain engineering and commercial teams in optimizing supply chain performance and fostering supplier relationships in support of Advanced Packaging Technology and Manufacturing (APTM) operations. In this role, you will drive operational excellence by integrating supplier strategies with Intel's manufacturing capabilities, collaborating closely with cross-functional teams to develop and implement strategies across global manufacturing sites. Business group Strategic Parts and Service Supply Chain (SPSC) is part of the Foundry Construction and Sourcing (FCS) team in Intel Foundry. We play a pivotal role in developing and managing supply chain solutions supporting Intel Foundry's wafer/packaging development and manufacturing operations. Key Responsibilities - Lead global supply chain teams to optimize supplier performance and operational efficiency through clear metrics, market intelligence, and continuous improvement. - Build strategic supplier partnerships to drive long-term engineering and supply chain roadmaps aligned with future technological needs. - Lead benchmarking and industry intelligence to drive supplier and technology improvements in factory equipment spares and service products. - Provide leadership through goal setting, facilitating team execution, maintaining accountability, and driving performance management practices. - Inspire and develop teams to achieve results while role modeling Intel values and creating a productive work environment. Qualifications: Minimum Qualifications - Bachelor's degree in a relevant field. - 12+ years of progressive experience with a Bachelor's degree, 10+ years of experience with an advanced degree in supply chain, engineering

Opportunity Overview: This is an excellent opportunity for an outstanding Lead Healthcare Analystto join a Series C digital health company. You will work closely with clinicians, program implementation, operation experts, informaticists, data scientists, and actuaries to support data-driven clinical programs. These programs are essential in improving a) payor/provider/patient collaboration, b) quality of care and patient outcomes, and c) healthcare utilization and spending efficiency. The work will be fast-paced and project-based, with evolving needs requiring adaptability, curiosity, and grace under pressure. What you’ll do: Cultivate a deep understanding of Cohere’s clinical content, UM products and clinical programs and use analytics to produce insights to drive program effectiveness and value for internal business partners and clients. Lead clinical analytics projects, collaborating with multi-disciplinary partners, to understand business needs, clinical nuances, formulate plans, build and maintain analytical and reporting solutions. Independently lead in-depth analyses and Identify optimization opportunities by applying statistical data mining, and predictive modeling methods on administrative and clinical health data. Track cost, utilization, and industry trends to inform stakeholders of product performance and provide data-driven insights around opportunities to optimize clinical value for patients, providers and payors. Collaborate with clinical, account management, data science, and engineering partners to refine Cohere’s product features and client support. Foster a collaborative and innovative culture, mentor junior analysts. Maintain meticulous documentation and present findings or recommendations to company leadership and internal stakeholders What you’ll need: Work experience: 7+ years of experience working in a big-data analytics role. 2+ years of hands-on project leadership experience in the healthcare industry. Collaboration: Experience

Data Science & Engineering Lead Lead the charge in AI and data innovation as our Data Science & Engineering Lead . Here, you’ll work hands-on with our talented team to build and deploy high-impact ML models, optimize our data systems, and drive actionable insights. If you’re skilled in advanced AI tools like Databricks, Spark, and Azure, and excited to push boundaries in machine learning and engineering, we want you on our team. Join us for meaningful work, a collaborative culture, and competitive benefits. In This Role, You Will: Design and implement supervised and unsupervised ML models (e.g., OLS, Logistic Regression, Ensemble Methods) to solve real-world business problems. Lead model development for advanced architectures in neural networks, such as ANN, CNN, RNN, GAN, Transformers, and RESNet. Drive NLP advancements with tools like NLTK and neural-based language models. Oversee the development of computer vision models, utilizing OpenCV for real-world applications. Lead time-series modeling projects for forecasting and anomaly detection. Utilize AI techniques like Retrieval-Augmented Generation (RAG), Chain of Thought (CoT), and Model of Alignment (MOA) to enhance model performance. Build and maintain scalable data pipelines for both streaming and batch processing. Architect and optimize lakehouse solutions using Delta/Iceberg and bronze-silver-gold architectures. Lead the development of ETL processes with tools like Airflow, DBT, and Airbyte to support data flow and transformation. Design and optimize database models for OLTP and OLAP systems using Snowflake, SQL Server, PostgreSQL, and MySQL. Develop NoSQL solutions, leveraging MongoDB, DynamoDB, and ElasticSearch for unstructured data. Lead efforts in building cloud infrastructure, particularly in AWS (preferred) or Azure, using services such as Lambda, API Gateway, Batch processing, Kinesis, and Kafka. Oversee MLOps pipelines for robust deployment of ML models in production with platforms like Sagem

About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. Role Overview We are seeking a Package Reliability Engineer to lead reliability engineering for advanced packages used in high-performance AI and computing systems. The primary focus of this role is to assess package level mechanical and thermal reliability risks and apply thermal and mechanical modeling to optimize package design, material selection, and assembly processes. The engineer will also develop reliability test plans with external partners, identify failure mechanisms, perform root-cause analysis, and recommend practical corrective actions. In this role, you will assess package reliability risks from early architecture development through product qualification and high-volume manufacturing. You will work closely with package design, silicon design, system engineering, manufacturing, and ASIC partners to predict package behavior, develop qualification strategies, resolve reliability issues, and improve overall package robustness and lifetime. In this role you will: Lead reliability test plan and assessments for advanced HPC packages, including risk identification, potential failure-mechanism analysis, root-cause investigation, mitigation planning, and corrective-action development. Drive reliability-focused package design optimization based on thermo-mechanical modeling to improve package reliability, power integrity, thermal performance, mechanical robustness, and platform scalability. Develop, validate, and apply package reliability models and lifetime-prediction

About Paytm: 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 Paytm Ads is strengthening its position as a leading outcome-driven advertising platform, powered by high-intent first-party data, machine learning–led optimization, and robust measurement and attribution capabilities. As Director of Product, you will lead the evolution of our existing ads platform into a performance-first, data-powered ecosystem, unlocking stronger advertiser outcomes across ROAS, CAC, and conversions. This role sits at the intersection of ads, data, and commerce, and requires a strong blend of strategic thinking, product depth, and execution excellence. What You’ll Drive 1. Outcome-Driven Ads Platform Define and scale Paytm’s performance advertising stack, focused on delivering measurable outcomes (ROAS, CAC, conversions)Build solutions across: Audience targeting & retargeting Campaign optimization Conversion tracking & attribution. 2. First-Party Data & Audience Systems Leverage Paytm’s rich transactional and behavioral data to build high-quality audience segments Design and scale privacy-safe data activation frameworks, including clean room (DCR) capabilities Enable advertisers to activate their own data in a secure, compliant manner. 3. ML-Led Decisioning & Optimization Lead the development of machine learning–driven systems for: Bidding & budget allocation Ad ranking & personalization Audience selection and lookalike modeling Drive continuous improvement in model performance and business outcomes. 4. Data Infrastructure & Platform Thinking Build and evolve data platforms and decisioning engines that power real-time ad delivery and optimization Ensure systems are scalabl

MongoDB is looking for a Staff Product Manager to define and execute the strategy for our Developer Tools portfolio. This role will help developers and data practitioners learn about, explore, model, query, and work with data through intuitive, powerful experiences. The initial scope includes MongoDB Compass and Data Explorer , with the opportunity to shape connected experiences across the broader developer tools ecosystem, including MongoDB Shell , IDE integrations, data modeling, and AI powered developer experiences. You will operate as a company-wide product leader: setting direction, simplifying complex technical problems, and aligning engineering, design, research, developer advocacy, marketing, sales, support, and adjacent product teams around measurable customer outcomes. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you’ll do Define the vision, strategy, and multi-year roadmap for developer tools, balancing the needs of individual developers, data experts, application teams, and enterprise customers Own product strategy for experiences that span desktop, browser, Atlas, and self-managed deployments, creating a coherent journey rather than a collection of disconnected tools Identify high-impact opportunities in data exploration, querying, performance troubleshooting, schema and data modeling, governance, and observability Help shape the next generation of AI-assisted and agentic workflows, including natural-language interactions, intelligent guidance, and transparent actions that keep developers in control Lead customer discovery with developers, architects, data professionals, and enterprise teams; turn qualitative and quantitative insights into clear product decisions Partner deeply with engineering and design to frame problems, define requirements, make tradeoffs, and deliver high-quality products from discovery through launch and iteration Build alignment across teams that contribute to the developer expe

About the Role Sigmoid is looking to onboard a Senior Leader to anchor our CPG Supply Chain Analytics practice in Bengaluru. In this role, you will drive strategic initiatives, foster innovation, and provide visionary leadership to our Supply Chain Analytics practice. Roles and Responsibilities Leading and overseeing our Supply Chain Analytics Practice development, setting strategic direction and driving business growth. Develop and execute a comprehensive strategy to expand our presence in the industry practice, identifying market opportunities and driving revenue growth. Collaborate with sales, marketing, and business development teams to develop go-to-market strategies, identify key clients, and drive new business opportunities. Facilitate the development of advanced analytics (AI/ML) and data modeling to optimize decisions. Knowledge Management: Author or contribute to articles and Intellectual Capital that advance the quality of client service and oversee practice-level knowledge management activities to lead and propagate a knowledge management culture within management consulting services. Partner with clients to understand their business challenges and opportunities, providing strategic guidance and innovative solutions. Drive thought leadership initiatives, representing our company at industry events, conferences, and forums. Qualifications Bachelor’s Degree (BE/BTech - CS) from Tier I/II universities like IITs/NITs and MBA from top-tier B-schools (IIM) preferred. 8-12 years of experience in consulting and implementing Data & Analytic solutions for large CPG customers. Direct front-office consulting experience with strategic customer leadership is a must. Strong leadership and management skills, with the ability to inspire and motivate teams to achieve excellence. Excellent communication and interpersonal skills, with the ability to build and maintain relationships with clients and stakeholders. Strategic mindset, with the ability to think critic

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 As a Software Engineer on the DX Security Components team , you will architect the backend services that safeguard Pure’s core authentication and remote access infrastructure. You’ll act as a security-minded engineer within a high-impact platform team, ensuring our cloud offerings and customer appliances remain auditable and resilient. Collaborating across the DX organization, you will bridge the gap between robust security protocols and seamless developer integration to protect our global customer base. WHAT YOU’LL DO Engineer Security Infrastructure: Design and operate high-availability backend services that manage authentication, authorization, and certificate lifecycles to ensure secure access across all Pure1 cloud and appliance environments. Drive End-to-End Ownership: Lead the full service lifecycle—from initial architectural design and threat modeling (STRIDE) to deployment, observability, and long-term cost efficiency. Champion Secure Integration: Partner with Security Governance and product teams to streamline remote-access flows, translating complex security requirements into pragmatic, automated workflows for other engineering squads. Ensure System Resilience: Maintain the integrity of security-sensitive systems by participating in a global follow-the-sun on-call rotation, performing root-cause analysis, and hardening infrastructure against emerging threats. Automate Trust: Evolve Infrastructure as Cod

Role Overview We are looking for a Senior FP&A Engineer to lead the design and implementation of enterprise planning solutions across Finance, Sales, and Workforce domains. This role will be part of a Global Finance Technology, partnering closely with onshore FP&A, RevOps, and other Business teams. You will play a key role in driving the organization’s transition to driver-based, integrated planning using platforms such as Pigment, Anaplan, and Workday Adaptive Planning, while ensuring scalability, governance, and high-quality delivery from India. We are looking to speak to candidates who are based in Gurugram or Bangalore for our hybrid working model. Key Responsibilities 1. Enterprise Planning Delivery Design and build scalable planning models across: Financial Planning (P&L, Cash Flow, Balance Sheet) Workforce Planning and Cost modeling Sales & Revenue forecasting (ARR, pipeline, bookings) Own end-to-end delivery working with the Product Manager : design → build → test → deploy → support 2. Model Development & Optimization Build multi-dimensional, driver-based models with strong focus on performance Develop scenario planning, versioning, and forecasting capabilities Optimize model size, calculation efficiency, and user experience 3. Platform Expertise Subject Matter Expertise in: Pigment Anaplan (Model Builder / Solution Architect) Configure workflows, security, and access controls Leverage platform-native capabilities vs over-customization 4. Data Integration & Automation Integrate planning tools with enterprise systems: ERP (NetSuite / Oracle) CRM (Salesforce) Data platforms Build and maintain automated data pipelines using SQL, APIs, or ETL tools 5. Stakeholder Collaboration (Global Model) Work closely with US / EMEA FP&A, IT, and Business teams Participate in requirement workshops and translate business needs into technical designs Provide regular updates, demos, and documentation to global stakeholders 6. Governance, C

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Senior Identity Security Engineer on Palantir's Identity Security team, you will own the security posture of the identity infrastructure that Palantirians, customers, and services rely on every day. The Identity Security team is responsible for all identity types at Palantir - workforce, customer, workload, and agentic - giving you the rare ability to architect, threat model, and drive security outcomes across the full identity surface. You will help shape the technical direction for identity security at Palantir, reduce standing access, lead identity threat modeling, and contribute to the next generation of identity primitives including agent identity, JIT-native governance, and unified policy enforcement across workforce and customer IAM. As part of Palantir's best-in-class Information Security organization, you will research, architect, and scale solutions that help Palantir stay ahead of a dynamic identity threat landscape. Core Responsibilities Own the day-to-day identity security posture across corporate, production, customer, and US Government identity planes Drive the rollout of agent identity infrastructure - short-lived credentials, lifecycle bound to a human principal, controlled workload onboarding Architect authentication, federation, and authorization systems - including SAML, OIDC, and policy-driven access control models (RBAC, ABAC, policy-as-code) - across workforce and workload identity Scale non-human identity patterns across service, workload, and agent populations - short-lived credentials, mTLS, identity-based networking Drive adoption of just-in-time access patterns across the identi

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Senior Identity Security Engineer on Palantir's Identity Security team, you will own the security posture of the identity infrastructure that Palantirians, customers, and services rely on every day. The Identity Security team is responsible for all identity types at Palantir - workforce, customer, workload, and agentic - giving you the rare ability to architect, threat model, and drive security outcomes across the full identity surface. You will help shape the technical direction for identity security at Palantir, reduce standing access, lead identity threat modeling, and contribute to the next generation of identity primitives including agent identity, JIT-native governance, and unified policy enforcement across workforce and customer IAM. As part of Palantir's best-in-class Information Security organization, you will research, architect, and scale solutions that help Palantir stay ahead of a dynamic identity threat landscape. Core Responsibilities Own the day-to-day identity security posture across corporate, production, customer, and US Government identity planes Drive the rollout of agent identity infrastructure - short-lived credentials, lifecycle bound to a human principal, controlled workload onboarding Architect authentication, federation, and authorization systems - including SAML, OIDC, and policy-driven access control models (RBAC, ABAC, policy-as-code) - across workforce and workload identity Scale non-human identity patterns across service, workload, and agent populations - short-lived credentials, mTLS, identity-based networking Drive adoption of just-in-time access patterns across the identi