Experienced Product Security Engineer Signing Bonus Potential Jobs

AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About the Role: As a Manager, Enterprise Sales, you will lead and scale our enterprise sales team, driving strategic revenue growth with a consultative, customer-first approach. You will oversee complex deal cycles, coach Enterprise Account Executives, and build the motion that wins high-impact, multi-stakeholder deals in a rapidly evolving AI landscape. What You’ll Do Lead, mentor, and develop a team of Enterprise Account Executives, fostering a culture of performance, strategic thinking, and collaboration Own and guide the full enterprise sales cycle, from targeted outbound and discovery to multi-threaded navigation, negotiation, and close Build and refine enterprise sales playbooks, qualification frameworks, and forecasting models that increase accuracy and velocity Collaborate cross-functionally with Product, Marketing, and Engineering to align on go-to-market strategy, unblock en

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This internship is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deployments. Preferred Qualifications: Currently pursuing a PhD in computer science, machine learning, or a related field. A demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas. Experience developing and evaluating large-scale models or machine learning systems. Familiari

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Most of the value of owning a model shows up at serving time. We're building a platform that covers the whole life of an LLM -- train it, deploy it, observe it -- and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. What you'll do: Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spik

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Modal is the cloud platform built for AI. We're used by the world's leading AI labs, startups, and researchers to run compute-intensive workloads: training runs, inference, sandboxed code execution, and more. We're hiring a Community Manager in SF to make Modal a fixture in the AI developer community. You'll bring developers together through meetups, hackathons, and events of our own, and build the kind of community that keeps showing up. You know how to rinse and repeat the process, but always with a creative bend. In this role, you will: Co-host developer meetups with partners in our ecosystem. Find the right speakers, build the relationships, and run the events together. Prior examples: High Performance Inference for Open LLMs , Voice AI Builders Night , RL with Modal and Prime Intellect , FDE Happy Hour . Sponsor hackathons that attract highly technical enginee

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We’re looking for an Engineering Manager to lead a group of highly experienced engineers. This is a hands-on leadership role where you’ll spend roughly half your time on technical contribution and half on people management, depending on the need. You’ll work closely with the team to set direction, remove blockers, and foster a strong engineering culture as they tackle complex systems challenges in distributed computing, large-scale data handling, and performance optimization. Who You Are: We think you are an experienced engineering leader who thrives close to the work and enjoys building alongside their team when needed. You earn trust through technical depth, communicate with clarity, and help great engineers move fast and make sound decisions. You thrive in a fast paced environment, you are pragmatic, calm under pressure, and focused on impact. Requirements: At l

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work. What you'll do: We are looking for research scientists with a strong track record in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This role is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustnes

AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About the Role We're seeking a Revenue Operations Manager with a strong track record, a builder's mindset, and a bias for action to join our in-person team in New York or SF. This is a high-impact, hands-on role. You'll own the entire revenue operations function, from top-of-funnel lead routing through deal close and commission administration. You'll work closely with our Head of Finance & People Ops and sales leadership to build the systems, dashboards, and processes that scale our go-to-market motion. What You'll Do: Own the lead routing process from inbound and partnering with marketing to ensure proper attribution Run effective territory management & strategy for Geo based decisioning Support & strategise every aspect of revenue operations in your territory Own the strategy for capacity forecasting, inputs, throughputs & outputs being the conduit back to finance in

Product Lifecycle Management Specialist( Entry Level or Experienced) — GBR - Bristol, UK. Apply via Workday.

Product Data Management Engineer – Mid-Level, Experienced or Senior — USA - El Segundo, CA. Apply via Workday.

Become a part of our caring community As a Senior Product Manager, you will help guide in-flight products that improve the customer journey and create meaningful healthcare experiences. In this role, you will partner closely with business, technology, and design stakeholders to align priorities, solve complex problems, and help teams deliver high-quality outcomes. We are looking for an experienced, collaborative, and customer-focused Senior Product Manager who is excited to work across business and technology teams to build solutions that make healthcare experiences simpler, more useful, and more human. In this role, you will bring a product mindset, strong communication skills, and the ability to turn complex needs into clear, practical solutions. You will collaborate with technical and non-technical partners, use data and customer insights to guide decisions, and help teams stay focused on delivering value. The right candidate brings significant stakeholder management experience and is comfortable navigating ambiguity, building trust across organizations, and leading with curiosity, sound judgment, and empathy. The role also requires the ability to break down complex business and technical problems into a clear product roadmap, epics, and user stories. You will be expected to write complete user stories with acceptance criteria, support story acceptance, and take responsibility for acceptance testing to ensure delivered capabilities meet business and user needs. Required Qualifications 2–4+ years of relevant product management experience, including examples of products or capabilities you helped bring to market. Experience delivering business value through lean product management, customer discovery, or human-centered design practices. Significant experience managing stakeholders across multiple business and technology orga

Job Requisition ID # 26WD99456 Senior Product Manager – AEC Visualization Solutions About the Role Location: East Coast US or Canada, remote with occasional travel Autodesk’s visualization technology empowers AEC customers to communicate ideas, validate designs, and make critical decisions across the entire design and make lifecycle. From early concept through construction and beyond, our tools help bring some of the world’s most complex projects to life. We are looking for an experienced and highly collaborative Product Manager to join our Visualization Solutions web team, someone who is passionate about building exceptional user experiences and thrives at the intersection of cutting-edge technology, complex customer workflows, and platform strategy. In this role, you will play a key role in defining the future of interactive visualization at Autodesk, building the shared visualization platform that powers experiences throughout the Autodesk ecosystem. You’ll operate across both platform and product, identifying the highest-impact opportunities and driving solutions from strategy through execution. You will work closely with teams across Autodesk to create visualization capabilities that can serve multiple products and workflows while delivering

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 The Stripe Accounting Team is responsible for supporting all products at Stripe, consulting on accounting implications, and supporting teams' ability to make informed strategic decisions. We are responsible for the accurate and timely recording of all business-generated transactions on our balance sheet and income statement. We operate in a fast-paced environment and collaborate significantly with cross-functional and international teams. What you'll do Stripe is seeking an experienced accountant to join our world-class accounting team. In this role, you will support revenue and cost accounting for products developed by our Bridge subsidiary, leveraging your technical expertise with U.S. GAAP, specifically ASC 606, to quickly identify accounting implications and impacts on customers while advising and collaborating with team members cross-functionally to develop operational processes that help us scale. Ideally, you will have both public accounting and industry experience in tech or financial services, as well as experience working for companies with a high volume of complex transactions and issues. Responsibilities Own P&L accounting for Bridge's products, including journal entries, reconciliations, variance analyses, financial reporting deliverables, and analytical reviews Partner closely with Bridge's product, go-to-market, and finance partners to thoroughly understand new products, features, and contracts, and advise on accounting im

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 Sail is Stripe’s user interface platform and design system. We build the design language, components, tools, and front-end foundations that product teams use to create coherent, accessible, responsive, and high-quality experiences. Designers on Sail work closely with engineers and designers across Stripe to turn recurring product needs into durable solutions. What you’ll do As a Product Designer on Sail, you’ll contribute to the visual and interaction foundations of Stripe’s products. With support from experienced designers and engineers, you’ll work on scoped components, patterns, guidance, and tools. This role is a good fit for a designer who cares deeply about visual craft, enjoys thinking in systems, and wants to understand how design decisions become production interfaces. Responsibilities Design and refine user interface components, patterns, and foundations for use across Stripe products Create polished, coherent interfaces across interaction states, themes, and responsive layouts Partner with front-end engineers to understand constraints and carry designs into production Contribute to Figma libraries, prototypes, specifications, documentation, and examples Gather input from product teams, share work, and iterate based on feedback Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus,

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We are looking for a ServiceNow HRSD, Employee Center Pro and Knowledge expert to join our HR Colleague Experience Team. We’re seeking an experienced and motivated individual who is ready to take on the challenge of supporting HR business operations by providing optimal and scalable technology solutions. This person will be responsible for ServiceNow HR Services meeting the needs of Colleagues, HR Agents, and HR Business stakeholders. The ideal candidate will possess a combination of functional and technical expertise, as well as a demonstrated ability to work collaboratively with both technical and non-technical partners. This role is responsible for driving product roadmap and prioritization of HR shared services, content and intranet experiences. Responsibilities: Collaborate with business and technical partners to support the HRSD functional areas and roadmap, including colleague portal and HR Knowledge Management. Work closely with business leaders and stakeholders to develop vision, goals and roadmap for the Product. Maintain clear and up to date list of key deliverables and timelines, develop plans to achieve those targets and proactively communicate progress to a variety of stakeholders. Ensure that the delivered product meets or exceeds the business' needs and business objectives. Responsible for tim

Experienced Field Service Representative Company: Boeing Aerospace Operations Boeing Global Services (BGS) is seeking an Experienced Field Service Representative for technical field support of the CH47 Heavy Lift aircraft. A successful candidate is technically proficient and has good relationship skills and an ability to coach others in maintaining the CH47 helicopter. This position may be located at various global locations. The position will initially start in Fort Carson, CO for training and eventually transition to an assignment as dictated by contract requirements. You are applying for a Field Operations position where our employees must be willing and able (potentially short-notice) to travel to a variety of locations (domestic and/or international) to meet the needs of our customers. Field Operations employees may be required to relocate to another Field Operations location based on customer needs and/or management requirements. Specific contracts supported by Field Operations could require employees to perform a deployment to a US DOD contingency operation. Employees associated with these specific contracts must be able to pass military contractor health standards for deployment. Position Responsibilities: Perform troubleshooting procedures for multiple systems Provide customer focused technical field support of CH47 aircraft for Boeing's customers on a global scale Aid the customer in troubleshooting procedures for drives, propulsion, pneudraulic, electrical and armament systems Resolves maintenance and operational issues Interprets technical documents and monitors product performance Develop and conduct ad hoc training in an informal/on-the-job training e