NewFP&A Manager - Revenue Forecasting & Predictive Modeling FlywireFP&A Manager - Revenue Forecasting & Predictive ModelingSan Francisco, CA$105,000–$135,000 / yearOwn and manage the end-to-end revenue forecasting process, including development of the annual budget, quarterly forecasts (QBRs), and long-range strategic plans (LRP) based on key business drivers (e.g., customer churn, net retention rate, volume metrics) Proactive, strategic thinker, self starter/motivator with ability to communicate effectively with executive management. Design and implement robust Transactional & SaaS/Subscription revenue models (e.g., based on cohorts, top clients, bookings/billings/ARR/MRR drivers) to accurately project future performance under various scenarios.
NewSoftware Engineer II, Model Platform AbnormalSoftware Engineer II, Model PlatformSan Francisco, CA$149,200–$214,500 / yearThe Detection Division is focused on building the world’s most advanced technology to identify and stop email and cloud-based attacks that were previously undetectable, helping make the world a safer place. As a Software Engineer focused on building systems for Detection’s Model Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for our ML and Data Science teams.
Product Manager, Models HiveProduct Manager, ModelsSan Francisco, CA$120,000–$170,000 / yearAs a Product Manager on our Hive Models team, you will work cross-functionally with all stakeholders to define product requirements and see the implementation through to completion, leading development efforts between our Machine Learning, Core Infrastructure, and Product teams. Own our Hive Models portfolio, understanding the needs of the product development teams, and envisioning and executing the creation of our deep learning models that can provide human-like interpretation of video, image, audio and text.
NewVice President, Revenue Operations C3 AIVice President, Revenue OperationsRedwood City, CAC3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. • 10+ years of experience in alliances, channel, business development, or consulting, including significant time building and monetizing relationships with Big Four professional services, IT services, and/or specialist or boutique firms.
Machine Learning Modeling Lead - Credit Modeling ExlService Holdings IncMachine Learning Modeling Lead - Credit ModelingSan Francisco, CA$202,000–$280,000 / yearThe ideal candidate will be responsible for leading the development and deployment of machine learning models that power key business decisions such as collections models, credit risk scoring, fraud detection, customer segmentation, and personalized financial services. We are seeking a highly skilled and experienced Machine Learning Modeling Lead - Credit Modeling to join our ML Model Innovation team within the banking/fintech domain (digital lending).
Robot Physics Modeling Engineer, Model Based Design, Optimus Tesla IncRobot Physics Modeling Engineer, Model Based Design, OptimusPalo Alto, CA$140,000–$300,000 / yearWelcome to Tesla's Optimus Robotics Team, the epicenter of innovation, where we're not just designing humanoid bi-pedal robots like the Tesla Bot; we're creating a revolution in automation for repetitive tasks and pioneering wheeled robots for manufacturing and autonomous logistics. Analysis skills including statics, multibody dynamics, vibration, kinematics, stress, fatigue and thermal analyses; proficency in multibody dynamics modeling and simulation of robotics systems preferred.
Sr. Manager, Engineering - Semantic Data Modeling Framework (Hybrid) CrowdStrike IncSr. Manager, Engineering - Semantic Data Modeling Framework (Hybrid)Sunnyvale, CA$160,000–$250,000 / yearServe as the primary advocate and trusted advisor for ontology-based data modeling across the organization by translating complex semantic concepts into clear value propositions for assorted technical and non-technical audiences. We are looking for a leader who can build excitement, drive adoption, and form strong partnerships with internal product teams, data producers, data consumers, security researchers, AI/ML teams, and customer-facing stakeholders.
Macroeconomic Modeling Specialist (EViews) ESRhealthcare and EXEC STAFF RECRUITERSMacroeconomic Modeling Specialist (EViews)Palo Alto, CaliforniaRemoteJoin our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level.
Staff AI Engineer, Data Analytics & Modeling - Office Of The CTO Sonatus, IncStaff AI Engineer, Data Analytics & Modeling - Office Of The CTOSunnyvale, CA$188,000–$300,000 / yearThe pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Opportunity: Sonatus is seeking a highly motivated Staff AI Engineer with expertise in data analytics and modeling to build AI-based software for next-generation AI-driven software-defined vehicles.
Head of Energy Risk Management and Grid Modeling GoogleHead of Energy Risk Management and Grid ModelingSan Francisco, CAFrom software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
Staff CFD Modeling Engineer Mainspring EnergyStaff CFD Modeling EngineerMenlo Park, CaliforniaOn the system modeling and simulation team, you will have a central role in refining the way generators are designed through detailed fluid dynamic and thermochemical analysis, either for the direct assessment of proposed designs or to inform lower order models that describe system behavior. Mainspring Energy manufactures and delivers fuel-flexible, low-emissions local power solutions that rapidly add new capacity and deliver reliable, affordable, and sustainable electric power.
Cell Electrochemical Modeling Engineer Tesla IncCell Electrochemical Modeling EngineerPalo Alto, CAOptimize model parameters to best predict empirical battery data Write test plans, propose design of experiments, and summarize results in test reports Use data manipulation and visualization skills to convey model and test results to fellow engineers Follow up on inquiries and disseminate bleeding-edge results traceably and reproducibly Be a member of a cross functional product development team to help determine the ideal cell chemistry and design for electric vehicle and energy product applications Effectively interact with other engineers in cross functional teams Translate aging mechanisms into mathematical representations that can be accommodated by existing models Document and communicate model workflow, implementations, and results of simulation studies Degree in Material Science, Chemical Engineering, Mechanical Engineering, or equivalent experience 3+ years of experience in electrochemical system modeling or general transport-reaction processes. While not required, experience in lithium-ion modeling is a plus Deep understanding of the relationship between physical parameters of a given cell design to the inputs and output behaviors of the mathematical model Knowledge of state-of-the-art modeling techniques used for lithium-ion electrode chemistries Experience numerically solving PDEs and ODEs Programming and data visualization (e.g.
Director, Licensing Intelligence, Modeling & Analytics Dolby Laboratories IncDirector, Licensing Intelligence, Modeling & AnalyticsSan Francisco, CA$212,000–$292,000 / yearThis position will drive and evolve a multi-year intelligence and analytics roadmap for the Legal, IP Protection, and Patent Licensing organization-translating complex market dynamics, incomplete data, and legal frameworks into clear, actionable insights. This role extends beyond traditional analytics to include market intelligence, economic and royalty modeling, scenario planning, and AI-enabled decision support across bilateral and pool-based licensing programs.
Deals Services - Manager, Strategic Finance And Fp&A, Advanced Decision Modeling RSMDeals Services - Manager, Strategic Finance And Fp&A, Advanced Decision ModelingSan Francisco, CA$112,100–$225,500 / yearThe salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. Develops and reviews complex, fully integrated financial models, including operating, cash flow, valuation, and transaction models, to support strategic decision-making.
Deals Services - Senior Associate, Strategic Finance And Fp&A, Advanced Decision Modeling (Boston/Hybrid) RSMDeals Services - Senior Associate, Strategic Finance And Fp&A, Advanced Decision Modeling (Boston/Hybrid)San Francisco, CA$85,100–$161,700 / yearThe ideal Senior Associate candidate has 2+ years of related experience in a high growth and fast paced setting and has extensive experience performing in-depth company valuations, building detailed operating and cash flow models, assessing industry and competitive landscapes, performing due diligence, and executing both M&A transactions and private / public financings. Qualifications: Bachelor's degree in Business, Accounting, Finance, Economics, Engineering or a related field, plus 3-5 years of post-bachelor's, work experience involving financial analysis; OR a Master's degree in Business, Accounting, Finance, Economics, Engineering or a related field, plus 3-5 years of related work experience involving financial analysis.
Staff AI Engineer, Data Analytics & Modeling - Office of the CTO Sonatus, Inc.Staff AI Engineer, Data Analytics & Modeling - Office of the CTOSunnyvale, CAThe pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Opportunity: Sonatus is seeking a highly motivated Staff AI Engineer with expertise in data analytics and modeling to build AI-based software for next-generation AI-driven software-defined vehicles.
Principal Architect, Performance Analysis and Modeling d-Matrix CorpPrincipal Architect, Performance Analysis and ModelingSanta Clara, CAThis role focuses on emerging hardware technologies (DIMC, D2D, 3D-DRAM) and emerging workloads (generative inference, multi-modal LLMs) - building the analytical models and simulation tools that let the architecture team project performance on current and future d-Matrix silicon. Youll work closely with Hardware Design, Compiler, Inference Server, and Kernels teams, translating workload analysis into concrete modeling inputs and surfacing HW/SW improvement opportunities.
VP, Modeling & Data Science LendingClubVP, Modeling & Data ScienceSan Francisco, California$240,000–$270,000 / yearAs a key member of the leadership team, you will be responsible for setting a clear strategic vision for modeling excellence, including integrating next-generation machine learning (ML), AI capabilities, and advanced data sources into our credit, fraud, and marketing ecosystems. Extensive hands-on experience with predictive modeling methods (e.g., logistic regression, multivariate linear regression, decision tree, cluster analysis), with a strong command of a wide range of advanced data mining and machine learning techniques.
Performance Modeling Lead OpenAI LLCPerformance Modeling LeadSan Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance.
Performance Modeling Engineer ~2 OpenAI LLCPerformance Modeling Engineer ~2San Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage.