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Lead Modeling And Simulation Engineer Jobs

10,000 active opportunities · Updated for October 2026

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Explore current lead modeling and simulation engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

O
Okta
📍 Washington• Full-time• From $240K/yr
2mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As Director of Marketing Analytics, you'll lead a team that transforms data into insights and drives decisions and strategy across our marketing channels. You'll own measurement and analytics for paid media, digital, partners, and field campaigns—including attribution modeling, ROI optimization, and emerging AI capabilities. What You'll Do Lead and develop a team of analysts; establish best practices and build team capability Own attribution modeling and full-funnel measurement across all marketing channels Take the insights and translate data into actionable insights for marketing leaders across the business. Drive paid and organic digital acquisition strategy through CAC, ROAS, and LTV analysis Build and maintain self-service dashboards in Tableau for demand gen, digital, field, events, and field marketing teams Implement AI/ML capabilities for predictive modeling and automated insights Support marketing experiments with rigorous testing and statistical validation Create forecasts and scenario models to inform annual budget planning Partner cross-functionally with Sales, Marketing Leadership, and Data teams on strategy and QBRs Partner with Marketing Data Operations team to maintain data quality across martech systems Stay current with analytics tools and methods to drive competitive advantage What We're Looking For Experience: 12+ years in Marketing, Analytics, Operations, or BI in B2B SaaS 5+ years managing and developing analytics

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A
Anthropic
📍 Ca New York City• $320K – $405K/yr
7 days ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Data Engineer supporting Billing & Payments Engineering, you’ll join the Finance Data Engineering team and build the foundation for accurate, scalable billing and revenue data across Anthropic. You’ll work closely with Billing Engineering, Finance and Accounting, as well as Product and other partners, to turn billing and payments data into reliable metrics, reporting and insights. You’ll make sure teams have trustworthy data that scales with our growth, and you’ll lead your own projects to enable self-serve insights that help teams make data-driven decisions. Key responsibilities Partner with Billing Engineering, Finance and Accounting to understand their data and reporting needs, and translate them into technical requirements Design, build and maintain data models and pipelines in dbt that transform raw billing, usage and payments data into canonical datasets Own revenue data accuracy and reconciliation, making sure billing, usage and revenue data tie out across systems Define success metrics for billing systems, and build the data models and monitoring to track them Set data integrity standards and SLAs for timely, accurate delivery of billing and revenue data Share on-call and data operations responsibilities for Finance Data Engineering pipelines Build dashboards and self-serve data products that track core metrics and deliver insights across the company Promote best practices for dbt, data modeling and SQL Influence the Billing Engineering roadmap from a data systems perspective Build a thorough understanding of our data models and data architecture Minimum qualifications Experience as a Data Engineer, Ana

pythonsqlai
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Everpure
📍 Santa Clara• $168K – $252K/yr
10 days ago

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 Senior Finance Manager within our Business Unit FP&A team, you’ll play a key role in driving financial planning, forecasting, and strategic decision-making for Everpure’s subscription business. In this highly visible individual contributor role, you’ll own global top-line forecasting and financial modeling while partnering closely with Business Unit, Product, GTM, Operations, and Accounting leaders to understand performance and guide business decisions. You’ll combine deep financial expertise with a strong understanding of subscription business models to translate complex data into clear insights, strengthen how we forecast and measure the business, and help leaders make informed decisions as Everpure continues to scale. WHAT YOU'LL DO Own Global Subscription Forecasting & Financial Modeling: Lead global top-line forecasting across pipeline, bookings, revenue, and margin, while developing and maintaining P&L and capex models. Partner closely with Accounting to ensure operational forecasts align with reported financial results. Turn Business Performance Into Strategic Insights: Analyze key subscription metrics including ARR, bookings, retention, churn, expansion, and gross margin. Translate complex financial and operational data into clear insights, compelling visuals, and executive-level narratives that inform business decisions. Serve as a Strategic Finance Partner: Partner with Business Unit, Pr

aiExcelPower BI
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HI
HP IQ
📍 San Francisco• $150K – $240K/yr
12 days ago

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As an Offensive Security Engineer within HP IQ’s Product Security team, you will partner closely with engineering teams to identify, validate, and mitigate security risks across the product lifecycle. You’ll influence design decisions, embed security into development workflows, and continuously assess attack surfaces to guide and enhance secure development. What You Might Do Lead penetration tests and security assessments for product and feature releases. Conduct continuous security engagements, proactively identifying vulnerabilities and driving remediation to closure. Advise engineering and product teams on remediation strategy, validating fixes and tracking measurable improvements to security posture over time.​​​​​​​​​​​​​​​​ Assess attack surfaces across internet-facing services, APIs, and device interfaces (Wi-Fi, BLE, USB). Perform threat modeling and security architecture reviews that directly shape product decisions. Define and lead end-to-end risk reduction initiatives with internal and external stakeholders, aligning offensive findings to strategic security investments.​​​​

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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. About Our Team The AI Security team is a newly established organization within Micron's Cyber Defense & Resilience (CDR) group, reporting directly to the Deputy CSO. We provide AI and automation engineering expertise across CDR's security functions, partnering with Security Operations, Governance Risk & Compliance, Third-Party Risk, Security Awareness, and Security Architecture teams to strengthen the security of a global environment supporting 50,000+ employees and 100,000+ devices! Position Overview We are seeking a Principal AI Security Architect to serve as the senior-most technical authority for AI security within Cyber Defense & Resilience! This role will define and drive AI security strategy, be responsible for AI threat modeling and governance, lead AI-related incident response efforts, and act as the primary advisor to executive leadership on the secure use, defense, and response to emerging AI technologies and threats. Responsibilities Develop and own the AI security strategy, threat model, and roadmap for Cyber Defense & Resilience. Establish quarterly priorities for AI security initiatives and provide strategic direction across multiple security functions. Define risk classification criteria and review high-risk AI agent architectures, including systems with customer data access, autonomous decision-making, and external system integrations. Act as the lead coordinator for AI-related cybersecurity incidents, partnering with ent

airecruitment
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R
Roblox
📍 San Mateo• $399.4K – $458K/yr
28 days ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox is looking for a Director of Capacity Planning & Engineering to lead the team responsible for translating platform demand into physical infrastructure reality — from supply-demand modeling and hardware procurement through data center deployment and FinOps. This is a high-impact leadership role at the intersection of infrastructure strategy, operational execution, and software engineering. You will lead a team of approximately 20 people organized across four functional areas and will be responsible for scaling Roblox's infrastructure footprint as it continues to grow rapidly. What You'll Own Capacity Planning Translate platform demand forecasts into hardware requirements Own the supply-demand matching process end-to-end, working closely with Data Center, Hardware Engineering, and Supply Chain teams Build and refine capacity models that give the business confidence in infrastructure availability months ahead Deployment & Delivery Oversee hardware lifecycle from procurement through physical installation and software provisioning. Partner with platform and data center operations teams to bring new capacity online reliably and on schedule. Own delivery execution for major mileston

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S
Snowflake
📍 Menlo Park• Full-time• $264K – $379.5K/yr
2mo ago

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. The Cortex CoWork team is defining the future of AI for enterprise data. Our mission is to transform how the world’s largest enterprises interact with their data through flagship products like Snowflake (CoWork) Intelligence . As a Principal AI Engineer , you will be a technical North Star for our AI initiatives. You won't just execute on a roadmap; you will help define it. You will tackle the most complex, "frontier" problems in agentic reasoning, NL-to-SQL, and enterprise-scale RAG, ensuring our AI products are not only innovative but fundamentally reliable and scalable for the Fortune 500. What you will do in this role: Technical Strategy & Architecture: Define the long-term technical vision for Snowflake Intelligence. Lead the architectural design of multi-agent systems, complex tool-use frameworks, and self-correcting NL-to-SQL engines. Drive Industry-Leading Reliability: Move beyond simple evals to build world-class, automated "hill-climbing" infrastructure. You will establish the methodology for how Snowflake measures and guarantees LLM performance across diverse customer schemas. Cross-Functional Influence: Partner with Product and Engineering leadership to align AI capabilities with business goals. You will bridge the gap between Research (modeling) and Product

G
GitLab
📍 United States• Full-time• Remote• From $115.2K/yr
3mo ago

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role GitLab is looking for a Manager, Strategic Finance to join our Strategic Finance team. This role focuses on financial planning, analysis, and business operations. You’ll lead modeling for long-range bookings forecasts and help shape earnings guidance and recommendations for GitLab executives and the Board of Directors. Reporting to a Director, you’ll work closely with the Chief Financial Officer, executive leaders, and partners across Product, Sales, Marketing, Revenue Operations, and Engineering. What You’ll Do Own and improve demand-based models for Annual Recurring Revenue (ARR) growth and

REMOTEpythonsqlgit
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W
Wealthsimple
📍 Canada• Full-time• Remote• C$151.2K – C$189K/yr
4mo ago

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . The Sales Data team is responsible for supporting the entire Commercial team through data modeling, pipelining, dashboarding, experimentation, analyses, and machine learning models. Our stakeholder teams are diverse, including Financial Planners & Advisors, Business Development Representatives, our AI Voice Agent team, Revenue Operations and Commercial Systems. We are looking for a Senior Data Scientist who has strong foundations in data modeling and machine learning to lead high priority initiatives, take ownership as a decision science expert, and help shape the direction of our Commercial team and our AI Voice Agent program. Some of your projects may include: modeling sales data, creating and improving reporting for business stakeholders, exploratory data analysis to improve our sales processes, and developing and maintaining ML models. Our models are used to solve real business problems and directly impact Wealthsimple’s north star metric. Therefore, experience with supporting sales is a bonus. In this role, you will have the opportunity to: Build and maintain new data models that are accurate and reliable Work closely with a wide range of stakeholders from Data Science, Commercial Leadership, Sales Operations, Product, Design, and Engineering Define, prototype, implement and improve ML models Design experiments to test hypotheses (e.

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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 the Business Operations Manager for Global Real Estate , you are the strategic engine behind Everpure’s global footprint. This isn't just about managing budgets; it’s about transforming how our facilities and real estate teams operate through data-driven precision and a "automation-first" philosophy. You will act as the vital bridge between our Geo Directors, Finance, and Accounting teams, ensuring our capital projects and portfolio decisions are backed by rigorous financial modeling and airtight operational controls. If you thrive on turning complex data sets into actionable business insights and enjoy building scalable processes that directly impact a company’s bottom line, this role offers the platform to lead high-stakes global initiatives within a fast-paced, collaborative environment. WHAT YOU'LL DO Financial Orchestration: Lead the global annual budgeting process and quarterly forecasting in partnership with G&A Finance, ensuring the business moves from "bottoms-up" activity planning to precise financial execution. Strategic Deal Modeling: Support regional directors by performing transaction-level analysis and maintaining a bi-annual, automated long-range financial forecast for the entire real estate portfolio. Operational Excellence & Compliance: Drive strict adherence to financial controls, SOX compliance, and capital improvement project protocols, serving as the primary conduit for asset settl

sqlaiTableau
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Pillar
📍 Central, Singapore
6mo ago

Overview Role: General Manager, Southeast & East Asia Location: Singapore (Hybrid) Equity: Competitive Initial Equity Package + refreshers Experience: 10+ Years About Pillar Pillar is building the next-generation commodity risk management stack for the $10T physical economy. We combine real-time market data with AI-powered exposure modeling and automated trade generation to arm operators with precise protection from volatility. From instant execution to continuous monitoring, alerts, and recommendations, Pillar turns complex market risk into a fully managed, always-on hedging engine. We were founded in 2023 by the youngest macro market-maker at Barclays and a trading systems engineer at Coinbase, and have raised over $20M in capital from Andreessen Horowitz (a16z), Crucible Capital, Neo, DST Global and more. The Opportunity Southeast and East Asia represent one of the most compelling growth frontiers for commodity risk management. The region is home to some of the world's largest commodity producers, processors, and trading houses,yet most businesses here still manage price risk through intuition, relationships, and reactive decisions rather than structured hedging programs. We're looking for a General Manager to lead Pillar's expansion across the region. This is a senior, entrepreneurial role: you'll be the first dedicated leadership hire in Asia, responsible for building the market from the ground up, establishing Pillar's presence, landing and growing clients, and building a local team. You'll have significant ownership over regional strategy and the backing of a well-capitalized platform. What You'll Do Regional Strategy & Market Development Define Pillar's go-to-market strategy across Southeast and East Asia, identifying the highest-value verticals, geographies, and client segments Build Pillar's presence and brand in the region,through client relationships, industry events, partnerships, and thought leadership Track competitive dynamics, regulatory con

aiprocurement
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S
Snowflake
📍 Menlo Park• Full-time
7mo ago

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. About the Team The Finance Data Science team owns the forecasting systems that power Snowflake’s revenue planning and long-term financial strategy. Our work supports corporate planning, executive decision-making, and investor reporting, and we partner closely with Product and Sales to understand customer behavior and product impact. We operate at the intersection of machine learning, statistical research, and corporate finance, building production-grade forecasting infrastructure that is foundational to how the company plans and operates. The Role As a Senior Data Scientist, you will independently lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics. You will work on complex, open-ended problems at the intersection of machine learning and business strategy, translating real-world financial questions into rigorous, scalable models. What You’ll Do Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting). Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics. Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulat

pythonsqlmachine learning
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M
9mo ago

InfraSec operates on a preventative, enabling model: rather than acting as a manual approval gatekeeper or compliance auditor, we develop automated guardrails and platform capabilities. We integrate security directly into the platform runtime, CI/CD, and Infrastructure-as-Code (IaC) workflows so engineering teams can operate securely at scale without friction. This role can be based out of our office or remotely in the United States. What You’ll Do Harden hosts and containerized workloads using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups) and eBPF-based tooling (Cilium, Tetragon) Secure containerized infrastructure across multi-cloud environments via RBAC, network policies, admission controls (Gatekeeper), and runtime threat detection Build and manage automated services for Cloud Security Posture Management (CSPM), workload identity, vulnerability management, and access controls across AWS, Azure, and GCP Write production-quality code and leverage Infrastructure-as-Code (Terraform) to version, test, and deploy security controls as code Build real-time security monitoring, logging, and alerting systems to detect anomalies and track security posture at Atlas scale Lead initiatives across their full lifecycle; from threat modeling and architectural design to implementation, rollout, and long-term production reliability What We’re Looking For Minimum Qualifications: 10+ years in SRE, Infrastructure Engineering, or Cloud Security Engineering A track record of operating at Staff or Principal scope: defining technical direction, resolving cross-team ambiguity, and personally championing initiatives from conception to delivery Strong coding skills in Go (Golang), Python, C, C++, or Rust Proven track record of building and operating large-scale distributed systems or cloud platform infrastructure Hands-on experience using Terraform, CloudFormation, or Ansible for automated infrastructure provisioning Demonstrated experience owning infrastructure in Linux,

pythonmongodbaws
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meesho
📍 Bengaluru• Full-time
26mo ago

About the Team The security team at Meesho is like the Avengers to Meesho's S.H.I.E.L.D. After all, when 5% of Indian households shop with us, it’s important to build resilient systems to manage millions of orders every day. We’ve done this – with zero downtime! 😎 Sounds impossible? Well, that’s the kind of Engineering muscle that has helped Meesho become the e-commerce giant it is today. We value speed over perfection, and see failures as opportunities to become better. We’ve taken steps to inculcate a strong ‘Founder’s Mindset’ across our engineering teams, making us grow and move fast. We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. As a Security Engineer, you will be part of self-starters who thrive on teamwork and constructive feedback. We know how to party as hard as we work! If we aren’t building unparalleled tech solutions, you can find us debating the plot points of our favorite books and games – or even gossiping over chai. So, if a day filled with building impactful solutions with a fun team sounds appealing to you, join us. About the Role As a Security Engineer 4, your role is integral in ensuring the security of our products throughout their development lifecycle. You will be involved from the very beginning, participating in threat modeling and design reviews to identify potential risks early. You'll also integrate and manage SAST tools within our CI/CD pipeline, ensuring continuous security testing as code evolves. Additionally, you'll lead and conduct vulnerability assessments and penetration testing (VAPT) to proactively uncover and address security vulnerabilities before they reach production. What you will do Lead and manage all aspects of the Secure Software Development Lifecycle (SDLC). Implement and manage security tools within the CI/CD pipeline (DevSecOps). Conduct and oversee VAPT for web applications, APIs, iOS, and Android apps.<

pythonjavareact
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M
7 days ago

Who We Are At MongoDB, we are building the future of data platforms with MongoDB Atlas; our fully managed, multi-cloud database service. The Infrastructure Security (InfraSec) team sits within Site Reliability Engineering (SRE) in the CTO organization. We are an engineering team dedicated to building the security infrastructure, primitives, and reusable controls that protect MongoDB Atlas across AWS, Azure, and Google Cloud (GCP). InfraSec operates on a preventative, enabling model: rather than acting as a manual approval gatekeeper or compliance auditor, we develop automated guardrails and platform capabilities. We integrate security directly into the platform runtime, CI/CD, and Infrastructure-as-Code (IaC) workflows so engineering teams can operate securely at scale without friction. This role can be based out of our New York City office or remotely in the eastern or central timezone. What You’ll Do Harden hosts and containerized workloads using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups) and eBPF-based tooling (Cilium, Tetragon) Secure containerized infrastructure across multi-cloud environments via RBAC, network policies, admission controls (Gatekeeper), and runtime threat detection. Build and manage automated services for Cloud Security Posture Management (CSPM), workload identity, vulnerability management, and access controls across AWS, Azure, and GCP Write production-quality code and leverage Infrastructure-as-Code (Terraform) to version, test, and deploy security controls as code Build real-time security monitoring, logging, and alerting systems to detect anomalies and track security posture at Atlas scale Lead initiatives across their full lifecycle; from threat modeling and architectural design to implementation, rollout, and long-term production reliability What We’re Looking For Minimum Qualifications: 5+ years in SRE, Infrastructure Engineering, or Cloud Security Engineering Strong coding skills in Go (Golang), Python, C, C++, or R

pythonmongodbaws
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