Engineering Manager, Continuous Deployment and Change Safety Anthropic PBCEngineering Manager, Continuous Deployment and Change SafetySan Francisco, CA$405,000–$485,000 / yearThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Senior Engineering Manager, Cloud Infrastructure Mesh Connect IncSenior Engineering Manager, Cloud InfrastructureSan Francisco, CAYou''ve driven developer productivity improvements that engineering teams actually noticed: internal platforms, toolchain automation, deployment speed, or developer experience initiatives that meaningfully changed how your team works. You''ll tackle complex, meaningful problems that actually move an industry forward, working alongside a sharp, motivated team that moves quickly, collaborates deeply, and expects everyone to operate with ownership.
Engineering Manager, Safeguards Review Tooling Anthropic PBCEngineering Manager, Safeguards Review ToolingSan Francisco, CA$405,000–$485,000 / yearWe''re looking for an Engineering Manager to lead our Review Tooling team, which builds the systems that humans - and increasingly Claude - use to investigate potential harms and take enforcement actions across Anthropic''s first-party products and third-party cloud platforms. That platform includes analytics capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly.
Engineering Manager (AI Products) GemEngineering Manager (AI Products)San Francisco, CaliforniaGem’s Candidate Privacy Notice By clicking “Submit Application”, you acknowledge and agree that you have read and understand Gem’s Candidate Privacy Statement , including the information provided on how Gem processes your personal data and your related rights as set forth therein. More about us: Gem engineers and engineering managers work closely with product managers and designers on product direction and roadmap.
Sr. Software Engineering Manager, Financial Platform Zipline International IncSr. Software Engineering Manager, Financial PlatformSouth San Francisco, CASoftware Engineering Manager, Financial Platform, responsible for turning operational activity (flights, deliveries, manufacturing runs, inventory moves, partner transactions) into auditable, high‑integrity financial records that enable Zipline to scale into new markets. Set and own correctness and availability SLOs/SLIs for critical financial paths (example targets: payment/settlement critical paths >=99.95% availability), lead incident response for production financial incidents, and drive post‑incident root‑cause fixes.
Engineering Manager, Revenue Discord IncEngineering Manager, RevenueSan Francisco, CA$248,000–$310,000 / yearCandidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). We''re a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses.
Senior Engineering Manager - Payroll Calculation People Center IncSenior Engineering Manager - Payroll CalculationSan Francisco, CA$207,000–$362,250 / yearThe Rippling Payroll Calculations team is the engine at the heart of payroll, responsible for accurately calculating every component of a paycheck-from earnings and deductions to complex taxes and withholdings-for employees worldwide. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employees role.
Engineering Manager Machine Learning Behavior Planning & Prediction Woven Planet HoldingsEngineering Manager Machine Learning Behavior Planning & PredictionPalo Alto, CA$140,000–$230,000 / yearOur work involves a variety of challenges such as analyzing petabytes of multimodal driving data, solving optimization problems, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning ML training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Prediction and Motion Planning. 5 years of experience with learning-based planning approaches such as supervised, unsupervised, imitation learning, transfer learning, multi-task learning, reinforcement learning, and state-of-the-art techniques for sequential modeling like Transformer architectures.
Engineering Manager, Discovery Experience DoorDash IncEngineering Manager, Discovery ExperienceSan Francisco, CA$193,800–$285,000 / yearWe value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers.
Software Engineering Manager, AI Growth SanitySoftware Engineering Manager, AI GrowthSan Francisco, CaliforniaSanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency.
Engineering Tech V - Optical Mechanical - Integrated Optics Modules (NWS 00899) North Wind GroupEngineering Tech V - Optical Mechanical - Integrated Optics Modules (NWS 00899)LIVERMORE, CA$39.51–$45NWS executes and manages a wide range of technical services such as environmental investigation and restoration, construction, demolition, radioactive and hazardous waste management, public communication/involvement, information management, health and safety, industrial hygiene, and emergency response/HAZMAT services. North Wind Services is actively seeking individuals who can contribute to national security within the science, technology, and engineering fields as part of our supplemental labor team at vital federal research and development installations supporting the Department of Energy.
Engineering Technician V – Cryogenics Operator (NWS 00867) North Wind GroupEngineering Technician V – Cryogenics Operator (NWS 00867)LIVERMORE, CA$39.51–$45NWS executes and manages a wide range of technical services such as environmental investigation and restoration, construction, demolition, radioactive and hazardous waste management, public communication/involvement, information management, health and safety, industrial hygiene, and emergency response/HAZMAT services. North Wind Services is actively seeking individuals who can contribute to national security within the science, technology, and engineering fields as part of our supplemental labor team at vital federal research and development installations supporting the Department of Energy.
Agent Engineering Manager TolanAgent Engineering ManagerSan Francisco, California$200,000–$300,000 / yearYou'll design and operate complex agent orchestration systems, develop patterns for human-agent collaboration, and ship real product features primarily through agent-assisted development. We're hiring an Agent Engineering Manager to break down ambiguous problems, delegate to agents, review their work critically, and course-correct when things go sideways.
Sr. Engineering Manager, MLOps Last Brand IncSr. Engineering Manager, MLOpsPalo Alto, CA$270,000–$300,000 / yearYou have a deep understanding of the ML lifecycle-from model development and distributed training to automated deployment and real-time monitoring-and you are passionate about treating infrastructure as a product for your "customers": Quince's Data Scientists and AI Researchers. Define the MLOps Vision & Strategy: Architect a long-term roadmap that transitions ML workflows from manual scripts to a fully automated, self-service platform for all Quince Data Scientists and AI Researchers.
Engineering Manager, Cloud Platform BaseTenEngineering Manager, Cloud PlatformSan Francisco, CAAs the Engineering Manager for Baseten's Cloud Platform team, you will directly manage a team of cloud platform engineers responsible for building the systems and processes that keep our infrastructure scalable, reliable, and efficient - from automated deployments and monitoring to performance optimization and incident response. Serve as the escalation point for major incidents; drive resolution with urgency, ensure the team learns systematically, and stay connected to users so those learnings feed back into infrastructure improvements.
Engineering Manager, Runtime Fabric BaseTenEngineering Manager, Runtime FabricSan Francisco, CARunning large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren't designed for the multi-tenant serving environments that production AI requires. As Engineering Manager of the Runtime Fabrics team, you will lead this work, setting technical direction, growing a world-class team of systems engineers, and ensuring the team's output shapes not just Baseten's infrastructure but the open-source container ecosystem at large.
Engineering Manager, Data Platform SentryEngineering Manager, Data PlatformSan Francisco, CaliforniaThe EAP team makes it possible for developers to efficiently search and debug across massive volumes of data, providing the context needed to understand and fix issues quickly. Drive development of core EAP features, including support for complex analytical queries, dynamic routing logic across fidelity levels, storage and compute separation, and modern patterns for analytical storage.
Engineering Manager, Safeguards Interventions AnthropicEngineering Manager, Safeguards InterventionsSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Have run high-stakes, compliance-adjacent production systems: comfortable with on-call, incidents, regulator-driven requirements, and building the process scaffolding that prevents recurrence.
Engineering Manager, Inference AnthropicEngineering Manager, InferenceSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Engineering Manager, Cybersecurity Products AnthropicEngineering Manager, Cybersecurity ProductsSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. You will set technical direction, partner with research to turn new model capabilities into products, and stay close to customers so the team builds the right things, not just builds things well.