Software Engineer - Workers Deployment & Configuration

Join Cloudflare as a Software Engineer focusing on Workers Deployment and Configuration. In this role, you will be an integral part of our engineering team, working to enhance our deployment processes and improve configuration management for our serverless platform. You will collaborate with cross-functional teams to deliver high-quality software solutions t…

Join Crusoe as a Staff Network Deployment Engineer in our Lab division. In this pivotal role, you will spearhead the deployment and optimization of our cutting-edge networking technologies. Your expertise will be crucial in ensuring that our systems are robust, efficient, and ready to meet the demands of our innovative projects.

Chime is hiring a Product Manager focused on Trust & Safety in San Francisco. This role centers on protecting the platform and its users by driving initiatives that strengthen safety and reduce fraud. Role overview The Product Manager will work with teams across the company to design and launch strategies that address user safety concerns. Efforts will target the identification and prevention of fraudulent activities, ensuring that Chime remains a secure place for members. Key responsibilities Develop and implement product strategies to enhance trust and safety Collaborate with engineering, operations, and other teams to address risks and improve user security Shape product direction with a focus on maintaining a trustworthy platform Impact Your work will directly influence how Chime protects its community, helping to build a safer experience for all users.

Join our dynamic team at Intrinsic Safety as an Enterprise Account Executive. In this pivotal role, you will be responsible for driving sales and fostering relationships with key enterprise clients. Your expertise will contribute to the growth and success of our innovative safety solutions.We are looking for a passionate professional who thrives in a fast-paced environment, excels in building strong client connections, and is driven to achieve targets. You will work closely with cross-functional teams to deliver outstanding service and value to our clients.

About Our TeamAt OpenAI, our AI Deployment Engineering team is dedicated to facilitating the safe, seamless deployment of cutting-edge Generative AI applications for developers and enterprises. We pride ourselves on being trusted advisors and strategic partners for our clients, helping to curate a robust backlog of GenAI use cases tailored to their industry needs and guiding them through the production process with exceptional technical expertise. Our clientele is diverse, ranging from innovative startups to established global corporations.About the RoleWe are on the lookout for a highly skilled, business-savvy AI Deployment Engineer who is passionate about shaping the future of advanced AI in collaboration with our dynamic startup customers. You will engage with some of the most groundbreaking AI startups globally, guiding them through the stages of ideation, development, delivery, and scaling, thereby enhancing and maximizing the value of their projects on our platform. This position offers the chance to work on pioneering use cases leveraging our API, serving as a vital link in aggregating and conveying high-quality product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, reporting directly to the Startups AI Deployment Lead.This role is based in our San Francisco headquarters, operating under a hybrid model that requires 3 days in the office each week, with relocation assistance provided for new hires.Your Responsibilities:Collaborate intimately with strategic startup clients, serving as their technical advisor to innovate applications on our API and swiftly transition from ideation to scalable solutions.Offer proactive insights to enhance business impact and expedite application development.Engage in experimentation and prototyping with customers, showcasing practical applications.Contribute to open-source initiatives, disseminating knowledge, codifying best practices, and developing valuable resources.Aggregate and relay insightful feedback to the Product and Research teams.Cultivate relationships within the startup ecosystem, acting as a technical ally to both individual clients and the broader community.You Will Excel in This Role If You:Possess 5+ years of experience as a software engineer, ML engineer, or in a related role, preferably within a startup environment; experience as a founder or founding engineer is a plus.

About Watney RoboticsWatney Robotics is pioneering the future of autonomous robotics to enhance critical infrastructure development. Following a successful seed funding round of $21 million led by Conviction, Abstract, and A*, we are collaborating with some of the world's leading hyperscalers to expedite data center construction and maintenance.This is your chance to join us at a pivotal stage of our journey, where you can influence the growth from prototype to full-scale production fleets. You will be instrumental in delivering operational systems, formulating deployment strategies, and making a significant impact in a transformative robotics company.Your RoleAs the engineering-focused operator, you will oversee the deployment processes for our clients, ensuring seamless systems integration, effective go-live execution, and consistent operational performance. If your background includes coding, log debugging, and managing field operations, this position allows you to leverage your diverse skill set. You will convert pilot programs into large-scale production, showcasing the comprehensive capabilities of Watney's robots and delivering essential tasks that exceed the competition.Your ResponsibilitiesManage end-to-end deployments: Conduct site surveys, security assessments, integration mapping, phased rollouts, and transition processes.Develop operational frameworks: Create runbooks, SOPs, and dashboards; oversee uptime, task accuracy, MTTR/MTBF, and quality; lead root cause analysis and resolution efforts.Feedback integration: Translate field insights into precise requirements for autonomy, control systems, and teleoperations; prioritize enhancements that impact key metrics.Act as the customer liaison: Collaborate with operators, IT teams, and executives regarding service level agreements and acceptance criteria; build trust through effective on-site and virtual communication.Standardize processes: Package deployment playbooks and reusable integrations to scale from initial sites to global implementations.Deliver lasting integrations: Connect robots with DCIM/CMMS (ServiceNow), ticketing systems, inventory management, IAM/SSO, network configurations, and observability tools; define and implement APIs, schemas, webhooks, and messaging queues (REST/gRPC, JSON, Kafka/MQTT).Your QualificationsProven operator (5–10 years): Experience leading critical deployment initiatives; evaluate success based on outcomes rather than activities.Executive presence: Capable of setting clear expectations, delivering succinct updates, and influencing stakeholders.Exceptional delivery: Skilled in providing high-touch service and ensuring customer satisfaction.

About Reducto Reducto helps AI teams process complex, real-world enterprise data with high accuracy. Most enterprise information lives in unstructured formats like PDFs and spreadsheets. Our vision models read these documents as effectively as a person, supporting product development, model training, and process automation at scale. Reducto has seen rapid growth, revenue has increased 8x year-over-year. We work with a range of customers, from leading AI teams such as Harvey, Vanta, and Scale, to major corporations including FAANG companies and top trading firms. With over $100 million raised from investors like A16z, Benchmark, and First Round Capital, we are expanding our team in San Francisco. Role Overview: Infrastructure Engineer for Customer Deployments This role focuses on deploying Reducto’s platform into customer environments, which can include Virtual Private Clouds (VPCs) and on-premises bare metal. Each deployment brings its own set of hardware, networking, security, and reliability requirements. The engineer in this position works directly with customer teams to ensure successful, secure, and reliable deployments. Rather than building internal platforms, this role is about hands-on implementation and direct collaboration with enterprise customers’ infrastructure, security, and platform teams. The work bridges Reducto’s technology with customer systems, requiring both technical depth and strong communication skills. Main Responsibilities Plan, configure, test, and implement end-to-end deployments of Reducto in customer environments. Work closely with enterprise IT, security, and platform teams to understand their infrastructure and security policies, and design deployment strategies that fit their needs. Develop a deep understanding of the hardware supporting Reducto’s in-house machine learning models to ensure deployments run smoothly on customer systems. Build monitoring, telemetry, and phone-home solutions that provide visibility into customer-managed deployments while maintaining security standards. Troubleshoot and resolve infrastructure issues specific to each customer, such as Kubernetes configuration problems or cloud IAM challenges, to reduce downtime. Lead incident response for customer deployments, maintaining high operational standards. Document best practices and create reusable patterns for future deployments. Location This position is based at Reducto’s San Francisco office.

Join suno as an Engineering Manager in our Trust & Safety team, where you will lead the development and implementation of innovative solutions to enhance user safety and trust on our platform. You will work closely with cross-functional teams to ensure the integrity of our systems and the protection of our users. Your leadership will be vital in driving engineering excellence and fostering a culture of safety and accountability.

About HappyRobotHappyRobot is pioneering the AI-native operating system for the real economy, seamlessly integrating intelligence with action. Our innovative platform combines real-time insights, specialized AI agents, and orchestrating intelligence to empower enterprises in managing complex, mission-critical operations autonomously.Our AI OS continually builds on knowledge, optimizes processes, and evolves with time. We are initially focusing on supply chain and industrial-scale operations, where resilience, speed, and ongoing improvement are paramount. This allows human teams to concentrate on strategy, creativity, and high-value tasks.Discover more about our vision in our Manifesto. HappyRobot has successfully raised $62M to date, including a $44M Series B round in September 2025. Our esteemed investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10, who share our commitment to transforming enterprise operations. We are channeling this investment into building a top-tier team of driven individuals with exceptional problem-solving capabilities, ready to excel in a dynamic, fast-paced environment. If this resonates with you, we invite you to join HappyRobot.Role OverviewAs a Deployment Strategist, your primary objective will be to bridge the gap between user needs, data insights, and product functionalities to enable our customers to realize their potential. You will engage deeply with customer operations, collaborate directly with end users and decision-makers, and influence how HappyRobot’s technology addresses their most pressing challenges.At HappyRobot, we foster a culture devoid of rigid hierarchies, operating instead as a cohesive team of builders dedicated to execution, innovation, ownership, and a sincere commitment to our customers’ successes.What You Will DoPartner with customers to gain insights into their workflows, objectives, and challenges—often working side by side with their teams.Collaborate with Forward Deployment Engineers to define, prototype, and implement solutions utilizing HappyRobot’s platform.Identify and analyze key datasets that influence customer decision-making, integrating them into robust, scalable data pipelines.Design and enhance user workflows that effectively address significant challenges and scale across teams and functions.Lead transformational projects by setting clear objectives and driving initiatives that foster operational efficiency.

About Our TeamThe Technical Success team at OpenAI is pivotal in ensuring the seamless and secure deployment of ChatGPT and OpenAI API applications for both developers and enterprises. Acting as trusted advisors, we empower our customers to maximize the value derived from our innovative models and products.Within this team, the AI Deployment Engineering group is dedicated to supporting high-impact and strategic partners. We engage collaboratively to overcome technical challenges, provide in-depth expertise, and co-create groundbreaking ecosystem experiences that showcase the enhanced benefits of partnering with OpenAI.About the RoleWe are seeking an AI Deployment Engineer to play a crucial role in shaping the future of OpenAI’s partner ecosystem within the ChatGPT domain across various applications and commerce. As the primary technical resource for our strategic partners, you will lead solution design efforts and co-develop innovative experiences that fully leverage our platform's capabilities.You will provide expert technical guidance while collaborating with our Partnerships, Product, Engineering, and Go-To-Market teams, reporting directly to the Technical Success department.This position is based in our San Francisco or New York City office, utilizing a hybrid work model of three days in-office each week, with relocation assistance available for new hires.Key Responsibilities:Deliver outstanding partner experiences by providing technical expertise, scoping use cases, and aiding in the development of applications within ChatGPT and commerce checkout processes alongside technical stakeholders and strategic partners.Collaborate with our Partnerships team to design and support ecosystem integrations, ensuring technical feasibility and impactful launches.Advise partners on best practices for utilizing the OpenAI API and ChatGPT to develop secure, scalable, and unique experiences.Act as the initial point of contact for inquiries related to design, security, compliance, and architecture, escalating complex requirements to internal experts when necessary.Develop and sustain documentation, implementation guides, and FAQs addressing common partner requirements and technical hurdles.Collect partner feedback to represent the ecosystem's voice within internal teams, influencing product roadmaps and future partner initiatives.

At Crusoe, we're on a mission to revolutionize the way energy and intelligence coexist. Our vision is to develop a robust infrastructure that empowers individuals to innovate ambitiously with AI, all while embracing principles of sustainability and efficiency.Join us at the forefront of the AI revolution, where you'll leverage sustainable technology to drive groundbreaking advancements, make a significant impact, and collaborate with a team that's pioneering responsible cloud infrastructure.About the RoleThe Crusoe Cloud Network Deployment Engineering team seeks a dynamic and experienced professional to enhance our Network Engineering efforts. This team is integral to designing, constructing, and managing the global edge, backbone, and data center networks for High-Performance Compute (HPC) Clusters utilizing GPUs. The ideal candidate will be self-motivated, technically adept, and passionate about working with cutting-edge environmental technologies. Exceptional analytical and communication skills, along with a collaborative spirit, are essential.As a Network Engineer, you will play a pivotal role in expanding the Global Crusoe Network, focusing on deploying new data centers, Points of Presence (PoPs), and backbone infrastructure. This position offers a unique opportunity to gain valuable experience in large-scale network engineering involving edge, backbone, and HPC-based data center networking.This position is on-site in San Francisco, CA, or Sunnyvale, CA, and requires in-office presence.Key Responsibilities:Deploy, construct, and optimize the global Crusoe Energy Cloud network, including edge, backbone, data center, and public cloud connectivity.Collaborate with cross-functional teams, including Software Infrastructure and Product, to foster innovation and advancement within the Crusoe Energy Cloud network.Engage with external vendors and ISPs to evaluate and confirm device and carrier selection.Participate in a 24/7 On-call Support for the Crusoe Network.What You Bring:A minimum of 10 years of experience in building and operating network solutions at scale within a production environment.Deep understanding of network protocols such as TCP/IP, QoS, BGP, OSPF/IS-IS, EVPN, VXLAN, and MPLS technologies.

We are seeking a talented and experienced DevOps Lead/Architect to join our dynamic team at Sonsoft Inc. in San Francisco. In this pivotal role, you will be responsible for designing and implementing robust Continuous Integration (CI) and Continuous Deployment (CD) pipelines that enhance our software development lifecycle.The ideal candidate will have a deep understanding of DevOps practices, with a focus on automation, monitoring, and cloud infrastructure. You will collaborate closely with cross-functional teams to ensure efficient delivery of high-quality software products.

About Our ClientJoin an innovative AI platform that develops autonomous AI Receptionists and Agents designed to enhance customer interactions for small and medium-sized businesses. Founded in 2023 by a seasoned entrepreneur whose previous AI venture exceeded 50 million users worldwide, this rapidly growing company is supported by top-tier investors and has successfully deployed 15,000 AI agents across 10,000 businesses globally.Recently securing $25 million in Series A funding, our client has demonstrated remarkable growth, doubling its revenue in just the last two months of 2025 as it aims to scale towards deploying 1 million AI agents.Mission StatementOur mission is to transform traditional, costly, and erratic customer communications into efficient, revenue-generating solutions powered by autonomous AI. With our platform, businesses can deploy a fully configured AI receptionist in just three minutes—no coding skills required. Experience unmatched performance with sub-second latency, 99.99% uptime, and seamless integrations across over 200 platforms, including phone, SMS, email, web chat, WhatsApp, Instagram, TikTok, and more.Career OpportunityWe are assembling a dynamic team of Solutions Architects to oversee the deployment of AI agents across our partners and customers in North America and EMEA. This is an exciting time to join a well-funded, fast-growing team that is developing the infrastructure thousands of SMBs depend on.We are looking to hire 3-5 Solutions Architects for immediate openings. If you're a driven early-career technologist from a top program eager to take ownership, make a significant customer impact, and build production AI systems, we encourage you to apply.Key ResponsibilitiesAnalyze partner and customer business requirements, translating them into comprehensive technical specifications and deployment strategies.Configure and tailor AI agent solutions to ensure smooth integration with existing platforms such as CRMs, booking tools, and payment systems.Manage end-to-end implementations—from project kickoff to go-live—while coordinating with stakeholders to ensure timely delivery.Act as the primary technical contact during partner discussions; confidently present solutions with minimal oversight.Identify and address technical risks throughout the implementation process.Contribute to the development of scalable deployment practices as the team expands.

Forward Deployment EngineerAs a Forward Deployment Engineer at Firecrawl, you'll engage directly with our clients to implement Firecrawl in diverse real-world scenarios, facilitating integrations and transforming customer requirements into scalable solutions and enhancements to our product. This role is deeply hands-on and customer-oriented—perfect for those who thrive on addressing intricate challenges in real-time and delivering effective, practical solutions swiftly.Salary Range: $150,000–$250,000/year (This range applies to U.S.-based employees; compensation for those outside the U.S. is adjusted according to local cost of living. For more details, visit our compensation page.)Equity Range: Up to 0.10%Location: San Francisco, CA (Hybrid) OR RemoteJob Type: Full-Time (SF) OR Contract (Remote)Experience: 3+ years or equivalent experience in shipped systems.Visa Requirements: U.S. Citizenship/Visa required for SF; Not applicable for Remote roles.

Lila Sciences is forming a dedicated AI safety team to address the unique risks and challenges posed by scientific superintelligence. The company seeks a Senior or Principal Technical Program Manager to guide the operational side of AI safety research, helping to shape how the team approaches complex and evolving problems. Role overview This Technical Program Manager position connects research, engineering, model development, policy, and executive leadership. The work involves translating fast-moving research into structured, accountable plans. While this is not a research role, curiosity about the technical aspects of AI safety is important. The team values clear communication and the ability to bring clarity and structure as the organization expands. What you will do Act as the primary communication link between the AI safety team and technical, research, and scientific groups. Share complex results and coordinate resource needs. Establish information flows to keep teams connected. Promote accountability within cross-functional, distributed teams, building consensus and trust through open communication and sound judgment. Support rapid experimentation and iteration by refining and applying effective program management practices. Create clear documentation and reports to communicate vision, track progress, and ensure alignment with company objectives. Accurately represent program status and risks, even in uncertain or shifting situations. Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, Life Sciences, or a related discipline. Minimum of 6 years of program or project management experience in technology or life sciences. Demonstrated success in program management, leading cross-functional teams, and delivering projects. Strong analytical and problem-solving abilities, with skill in turning technical requirements into actionable plans. Excellent written and verbal communication skills, including experience preparing executive-level documents, roadmaps, and updates. Location This position is based in Cambridge, MA or San Francisco, CA, USA.

Role Overview Discord is hiring a Staff Product Manager, Safety Experience, based in the San Francisco Bay Area. This role centers on building and refining safety features that help keep users secure while fostering an engaging community. What You Will Do Lead the development and improvement of safety-related product features Work closely with teams across engineering, design, and other disciplines to shape product vision and strategy Use data and user insights to guide decisions and evolve safety protocols

Role overview The Senior Manager, Trust & Safety Policy at Lyft leads the team that shapes and updates policies to protect riders and drivers. This position ensures Lyft’s standards align with legal requirements and promote a secure experience on the platform. The role involves both policy development and hands-on implementation. Key responsibilities Guide a team dedicated to creating and carrying out trust and safety policies Draft and update policies that keep users safe while meeting legal and regulatory standards Collaborate with colleagues from multiple departments to design solutions that work in practice Share policy changes and decisions clearly throughout the company What Lyft looks for Ability to think strategically and solve complex problems Strong communication skills Experience working with teams across different functions Background in trust and safety, policy, or a related area is helpful Location San Francisco, CA

About Our TeamAt OpenAI, our Forward Deployed Engineering (FDE) team is dedicated to transforming groundbreaking research into robust production systems. We work closely with our clients to tackle significant challenges, serving as the driving force behind our most intricate large-scale projects. Our agile approach allows us to rapidly transition from prototypes to production, establishing reusable patterns that enhance our platform. We function at the nexus of deployment and development, collaborating extensively with OpenAI Research, Product, and Partnerships.About the PositionAs a Technical Deployment Lead (TDL), you will be instrumental in defining the delivery of sophisticated systems to our clients. You will oversee the construction, shipping, and adoption processes. Your role involves translating business objectives into actionable technical plans, managing daily operations across FDEs, Researchers, and Customer Engineers, and collaborating with customer teams to ensure the delivery aligns with their objectives.You will manage the entire delivery process: engaging with customers to outline workflows and success metrics, ensuring timely shipping of components, and leading readiness and change management efforts for successful adoption. Your responsibilities will include tracking progress, managing dependencies, making sequencing decisions, and driving prototypes from initial concept through to MVP and scaling. Additionally, you will provide field insights to Product and Research to inform roadmaps and priorities.Your success will primarily be measured by the impact of deployments that yield quantifiable value aligned with customer goals, increase adoption, and become integral to their workflows. Other success metrics include delivery reliability (meeting milestones, minimizing reopen/churn), operational efficiency (reusing patterns across deployments), sound judgment under pressure, and product impact (field feedback influencing roadmaps/architectures).This role is characterized by a high level of trust and autonomy. To excel, you will need profound technical project management skills, a strong sense of ownership over outcomes, and an ability to immerse yourself in customer workflows while partnering with their teams to resolve complex engineering challenges swiftly.This position is based in San Francisco. We adopt a hybrid working model, requiring three days in the office each week. Relocation assistance is available, and travel of 25%-50% is anticipated.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future.At SoFi, we are transforming personal finance by empowering our members to think differently about their financial journeys. As a next-generation financial services company and national bank, we leverage innovative mobile technology to help millions achieve their financial aspirations. We are proud to lead the charge in an industry undergoing significant transformation, with a commitment to our core values guiding our mission every day. Join us to invest in yourself, your career, and the financial landscape.The Role:We are on a mission at SoFi to help our members achieve financial wellness and become a leading financial institution. We are looking for a proactive Senior Product Manager who will take charge of the vision and roadmap for our members' account authentication and safety experiences.Your primary responsibility will be to balance security with user experience, ensuring that safety measures are perceived as valuable features rather than burdens. You will manage the 'Front Door' of the SoFi experience, which includes authentication processes, multi-factor authentication, and account recovery, to protect against malicious actors while providing a seamless experience for our members.In addition to entry points, you will oversee the entire safety journey for members, designing systems to navigate active fraud investigations and secure critical profile changes. Your work will involve creating systems that detect anomalies and suspicious activities, preemptively blocking account takeovers. You will develop defenses against crypto scams, phishing attempts, and social engineering, ensuring that only verified members access their accounts and are fully informed about their authorizations during security challenges. Your products will be foundational to customer trust, turning security challenges into empathetic and trust-building moments that protect our members without hindering their experience.

Join Pinterest as a Staff Product Manager for AI Safety, where you'll play a crucial role in shaping the future of AI technology. Your expertise will guide the development of safe and responsible AI solutions that enhance user experience while ensuring ethical standards are met.