Lead Modeling And Simulation Engineer Jobs

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview We are looking for a Lead Technical Recruiter to help build Harvey Labs, our AI research organization. You’ll partner closely with our Chief Research Officer and technical leadership to build the team from the ground up, initially focused on post-training talent across data and evaluations, infrastructure, and modeling and training. You’ll own searches end-to-end, develop talent strategies for highly specialized AI talent markets, and help define how we identify and attract exceptional technical talent as Harvey Labs scales. This is a hands-on role with significant ownership. You’ll operate in ambiguity, develop a strong point of view on the AI talent landscape, and serve as a trusted advisor to technical leadership. What You'll Do Partner closely with our Chief Resear

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview We are looking for a Lead Technical Recruiter to help build Harvey Labs, our AI research organization. You’ll partner closely with our Chief Research Officer and technical leadership to build the team from the ground up, initially focused on post-training talent across data and evaluations, infrastructure, and modeling and training. You’ll own searches end-to-end, develop talent strategies for highly specialized AI talent markets, and help define how we identify and attract exceptional technical talent as Harvey Labs scales. This is a hands-on role with significant ownership. You’ll operate in ambiguity, develop a strong point of view on the AI talent landscape, and serve as a trusted advisor to technical leadership. What You'll Do Partner closely with our Chief Resear

We are looking for a Strategic Finance Lead to help scale Perplexity’s consumer and enterprise businesses. You will partner with Marketing and Growth leaders to identify growth opportunities, understand customer economics, and turn investment decisions into measurable business results. You will build our marketing-finance capabilities while helping shape how we acquire customers and generate enterprise pipeline. This role starts as a hands-on individual contributor position for someone who enjoys open-ended problems and turning analysis into action. You will work closely with business leaders and cross-functional teams, with room for your scope to evolve as the company grows. We value someone who can set direction, dig into the details, and follow through. Key Responsibilities Develop the customer economics and investment recommendations that guide how we acquire and retain customers, grow enterprise pipeline, and scale marketing spend. Use CAC, LTV, and payback to evaluate investment returns. Partner with Marketing and Growth leaders to build and scale growth initiatives, identify constraints, and determine the resources and changes needed to produce more business. Build models and analyses to guide growth investments, translate plans into resource requirements and spending forecasts, and track commitments as plans evolve. Collaborate with data and business partners to strengthen measurement and attribution, connecting marketing activity to business outcomes. Help teams make investment decisions with incomplete information, making assumptions explicit and using results to refine where we invest. Take ownership of emerging strategic questions across GTM, bringing clear recommendations and adapting as priorities change. What You'll Bring 5+ years of experience in strategic finance, business operations, growth analytics, or a related field, with experience supporting growth-oriented decisions. Strong financial modeling and analytical skills, with a deep understanding

Overview Role: Quantitative Software Engineer Lead 5 days a week in NYC HQ Base salary: $225k-375k Equity: Competitive Initial Equity Package + refreshers 4+ Years of Experience About Pillar Pillar is building the next-generation commodity risk management stack for the $10T physical economy. We combine real-time marketdata 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 Andreesen Horowitz (a16z), Crucible Capital, Neo, Crossbeam Venture Partners and more. What You’ll Do Architect the future of commodity trading infrastructure: Lead development of our trading system as we start scaling in new markets and onboarding new customers. Engineer at the edge of performance: Build and optimize low-latency distributed systems, ensuring our platform minimizes risk and gets optimal prices on fills. Build and mentor a world-class team: Shape our engineering culture, hire and mentor talented engineers, and collaborate directly with founders to solve some of the most challenging problems in financial technology. Own critical systems end-to-end: From market data ingestion to order execution and risk monitoring, you'll have autonomy over mission-critical infrastructure that keeps our clients' businesses running 24/7. What We are Looking For Deep understanding of data structures, algorithms, design patterns, and core systems fundamentals. Extensive experience architecting and building complex financial systems with a focus on building and scaling low latency event driven distributed systems Strong ownership and teamwork, ability to work collaboratively to unblock work, drive momentum, and make sure im

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! About the Role Data isn’t just a byproduct of our business; it’s the engine that drives our growth. We are looking for a Lead Pricing & Monetization Analyst to join our Go-To-Market (GTM) Analytics team. This is a high-impact, individual contributor role designed for a seasoned expert who can bridge the gap between complex statistical modeling and strategic GTM execution in a B2B SaaS environment. Your mission is to help us answer critical questions about our go-to-market strategy, driving growth across the customer lifecycle. You will lead the charge in analyzing our revenue engine and providing crucial insights into our pricing architecture and monetization strategies to maximize our overall commercial impact. The GTM Analytics team operates in a semi-embedded model where each analyst serves as a trusted partner and owner for a specific strategic focus area. In this role, you’ll focus on empowering the Pricing & Monetization team while working cross-functionally across our commercial organization, and broader analytics and data teams. What You’ll Be Doing Pricing & Monetization Analytics : Partner with product and commercial leadership to evaluate pricing and packaging strategies, analyzing discount behaviors and tracking the financial performance of new monetization initiatives.&

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! About the Role Data isn’t just a byproduct of our business; it’s the engine that drives our growth. We are looking for a Lead Pricing & Monetization Analyst to join our Go-To-Market (GTM) Analytics team. This is a high-impact, individual contributor role designed for a seasoned expert who can bridge the gap between complex statistical modeling and strategic GTM execution in a B2B SaaS environment. Your mission is to help us answer critical questions about our go-to-market strategy, driving growth across the customer lifecycle. You will lead the charge in analyzing our revenue engine and providing crucial insights into our pricing architecture and monetization strategies to maximize our overall commercial impact. The GTM Analytics team operates in a semi-embedded model where each analyst serves as a trusted partner and owner for a specific strategic focus area. In this role, you’ll focus on empowering the Pricing & Monetization team while working cross-functionally across our commercial organization, and broader analytics and data teams. What You’ll Be Doing Pricing & Monetization Analytics : Partner with product and commercial leadership to evaluate pricing and packaging strategies, analyzing discount behaviors and tracking the financial performance of new monetization initiatives.&

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! About the Role Data isn’t just a byproduct of our business; it’s the engine that drives our growth. We are looking for a Lead Pricing & Monetization Analyst to join our Go-To-Market (GTM) Analytics team. This is a high-impact, individual contributor role designed for a seasoned expert who can bridge the gap between complex statistical modeling and strategic GTM execution in a B2B SaaS environment. Your mission is to help us answer critical questions about our go-to-market strategy, driving growth across the customer lifecycle. You will lead the charge in analyzing our revenue engine and providing crucial insights into our pricing architecture and monetization strategies to maximize our overall commercial impact. The GTM Analytics team operates in a semi-embedded model where each analyst serves as a trusted partner and owner for a specific strategic focus area. In this role, you’ll focus on empowering the Pricing & Monetization team while working cross-functionally across our commercial organization, and broader analytics and data teams. What You’ll Be Doing Pricing & Monetization Analytics : Partner with product and commercial leadership to evaluate pricing and packaging strategies, analyzing discount behaviors and tracking the financial performance of new monetization initiatives.&

Lead Systems Integrator Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking a Lead Systems Integrator (Level 4) to support an Air Dominance Fixed Wing Proprietary Program in St. Louis, MO . Step into a fast-paced, cutting-edge program where your expertise will drive the design, integration, and testing of advanced, cloud-based systems that empower mission planning, debrief, and tactical Command & Control (C2) solutions for fixed-wing platforms. In this role, you will lead the development, analysis, and integration of innovative engineering solutions for critical Ground System capabilities and ensure seamless support for ground systems from initial design through to final delivery. You will partner closely with the team’s test lead as well as the overall chief integrator who oversees all activities related to design, integration, and test. You will work with a high-performing, cross-functional team in an agile environment, driving next-generation capabilities from design through delivery. This role offers the chance to innovate with open-architecture, model-based designs and collaborate across disciplines to support critical defense missions. You champion best practices, processes, and standards for the integration team, mentor systems and electrical engineers, and coach solution leads on execution. If you’re passionate about advancing mission-critical systems and thrive in a collaborative, fast-moving environment, this is your opportunity to make a significant impact. Position Responsibilities Lead team of systems and electrical engineers in behavior modeling and requirements decomposition for system, sub-system, and software design

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. As a Senior Security Engineer on the Detection and Response (D&R) team at Roblox, you’ll protect our user community alongside the underlying platform infrastructure. You’ll design high-fidelity detections, engineer security data platforms, and respond alongside the team during incidents. This is a hybrid in-office role in San Mateo. You Will: Deliver robust D&R capabilities: Engineer high-fidelity detections end-to-end. Lead partners through threat modeling and logging, to deploying actionable alerts, while keeping false positives low. Build security data pipelines: Develop security data pipelines and actively contribute to internal software and data platforms, collaborating across engineering teams. Ensure service reliability: Participate in an on-call rotation to keep detection and response services healthy. Embody security culture: Serve as a trusted security partner across Roblox, helping protect our community and enterprise while fostering a culture grounded in trust, ownership, and shared responsibility. You Have: 3+ years of experience in Security Data Engineering: You have built services that are efficient, reliable, and scalable using programming languages like Golang or Py

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac’s Single Family Division is currently seeking an analytical and curious model developer who has strong business knowledge in credit risk, preferably collateral. This Quantitative Analytics Tech Lead position will include collateral model development, analysis and support potentially including some ad hoc analysis and data work in addition to developing new models and methods of evaluating collateral. Our Impact: We are responsible for developing Single Family collateral models that streamline the loan origination process while improving our credit risk exposure. Your Impact: Developing analytical methods and models that assess the collateral value and risk of Single Family properties. Providing resolutions to an extensive range of complicated problems; solutions are innovative, thorough, and practicable Providing modeling and analytical support to a line of business or product area Working under limited direction, independently determining and developing approach to solutions. Qualifications: PhD in economics, finance, statistics, or related quantitative discipline with 3+ years' experience, or Master’s with 5+ years relevant experience. Business experience will be weighted more than academic degrees. Demonstrated expertise in credit risk modeling (preferable collateral modeling), with experience working with model users to understand the model and develop new modeling and analytics methods and ideas. Proficiency in o

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Finance and Strategy Data Science builds the forecasting models, data infrastructure, and analytics tools at the core of how Stripe measures and plans its business. The team owns everything from hierarchical time series and agentic forecasting tools that predict payment volumes and revenue margins, to the governed metrics platform that feeds company-wide dashboards and executive reporting. We partner closely with Finance and Strategy, GTM, and Product stakeholders to directly inform financial decisions across Stripe's entire business. The team combines technical depth, strategic thinking, and executive partnership that develops both technical and business expertise. What you’ll do Data Science Managers at Stripe are responsible for the success of their team. You'll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You'll have a deep understanding of how to drive efficient data science teams and you'll have a strong user-focus. You'll be working with data scientists, analysts, and engineers on creating technical solutions and communicating effectively across teams and senior leadership. Responsibilities Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data-driven. Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing. Lead and manage proc

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview As a Senior Machine Learning Engineer II on the Ads Response Prediction team, you will lead the design and development of core ML models that power Instacart’s ads ecosystem. This is a research-leaning role focused on theoretical problem formulation, training methodology, and model quality rather than infrastructure or full-stack engineering. You will tackle fundamental challenges in pCTR modeling such as mitigating selection bias, position bias, and optimizer’s curse in training data, improving model calibration across surfaces and domains, and advancing our multi-task learning and sequence modeling capabilities. You will also have the opportunity to shape our next-generation foundation model approach for ads ranking and contribute to cutting-edge retrieval systems like TIGER (Transformer Index for Generative Recommenders), Semantic ID and domain language

Overview Role: Product Engineer Lead 5 days a week in NYC HQ Base salary: $180k-$300k Equity: Competitive Initial Equity Package + refreshers 4+ Years of Experience About Pillar Pillar is building the next-generation commodity risk management stack for the $10T physical economy. We combine real-time marketdata 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 Andreesen Horowitz (a16z), Crucible Capital, Neo, DST Global and more. What You’ll Do Own core product features end-to-end — from concept and architecture to shipping, iteration, and scaling Architect and build high-performance UIs that render automated hedge recommendations, track open positions, and show real time marketdata Lead the rebuild and evolution of product architecture across the stack—including UI foundations and backend APIs—to enable speed, reliability, and scale Work directly with founders, and customers to define product direction and translate complex risk workflows into intuitive experiences Lead the development of AI-enabled features, integrating LLMs and model-driven insights into mission-critical operator workflows Drive engineering best practices, mentor other engineers, and help shape Pillar’s product and technical culture What We are Looking For Product Ownership: You have a proven track record of building products and leading 0 → 1 initiatives Full Stack Experience: A strong background in React/Typescript and familiarity with NextJS, and in building complex, performant UIs. Comfortable working across the stack, including back-end API’s and integrations, but with a bias towards front-end AI-Enabled Produc

Zoox is looking for an AWS Cloud Security Engineer to lead the design and implementation of secure, scalable, and software-defined infrastructure in our AWS cloud environment. This role is responsible for establishing best-in-class security practices across AWS, driving automation-first infrastructure security, and partnering with engineering and platform teams to embed security into every layer of our technology stack. You’ll act as a security champion, ensuring that infrastructure designs meet the highest standards of confidentiality, integrity, and availability — while maintaining operational efficiency and scalability through Infrastructure as Code (IaC). In this role, you will: Define and own the multi-year security architecture and roadmap for Zoox's robots and fleet, spanning embedded/firmware, in-vehicle networks, cloud, and supporting infrastructure. Partner with hardware, firmware, autonomy, and infrastructure engineering teams to embed security requirements into system design from the ground up, rather than bolting them on after the fact. Lead threat modeling and architecture reviews for new vehicle platforms and major feature launches, identifying and prioritizing systemic risk across the fleet. Set technical standards and guardrails - secure boot, key management, network segmentation, update/OTA security, and more - and drive their adoption across engineering teams. Represent Product Security in cross-functional and leadership discussions, translating technical risk into business and safety impact for the organization. Qualifications 10+ years of experience in security engineering, including significant time in an architect, staff, or technical lead capacity. Deep expertise in embedded/IoT security, including secure boot, TPM/TEE, cryptographic key management, and hardened firmware/OS design. Demonstrated experience architecting security for complex, physical/cyber-physical sys

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: Anthropic's Application Security team secures the systems that build, serve, and increasingly are Claude. The attack surface is unlike most AppSec work: multi-agent orchestration, sandboxed code execution, agents holding delegated credentials, untrusted tool output crossing trust boundaries — problems with little prior art and no off-the-shelf playbook. The way the team works is also different. We use Claude as our primary tool across every part of the job: it drives our static analysis, drafts and fixes vulnerabilities as pull requests, performs first-line bug bounty triage, and assists threat modeling for design reviews. The human work is the judgment layer — system-level reasoning, deciding what matters, and building the next thing the model can't do yet. This is a builder's role on a senior team. We hire engineers who ship production systems and clear a hands-on threat-modeling bar — people who can find the vulnerability but would rather build the system that finds them all. Every engineer owns a system end-to-end, and the team's work has shaped customer-facing product security — including Claude Code's security review tooling, its security guidance plugin, sandboxing, and auto mode. Key responsibilities: Design, build, and operate Claude-powered security systems — LLM-driven code analysis, automated vulnerability remediation, AI-assisted threat modeling — and own one or more of them end-to-end, including the cross-functional relationships that come with it Lead secure design reviews and threat modeling for novel AI systems, identifying risks that don't map to existing frameworks Evolve a public bug bounty program