Trabajos nvidia en Denver, ColoradoCrear alertas

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Vantor is currently seeking a Staff Edge Compute Systems Engineer to join our SpaceWrx Engineering team in Westminster, CO. Our team within the SpaceWrx organization is responsible for defining and managing the design, development, and deployment of resilient, autonomous space systems that push advanced computation and AI closer to where data is generated: on-orbit. We are seeking a senior Edge Compute Engineer fluent in embedded software, compute hardware, and on-orbit AI/ML integration. This role plays a central part in the full lifecycle of onboard processing — from architecture and hardware selection, through integration, deployment, and operational performance. You will work at the intersection of: · High-performance embedded software · Compute hardware architecture · Satellite interfaces and avionics integration · Edge AI and real-time processing Responsibilities: · Contribute to the architecture and development of Vantor’s GPU-accelerated onboard compute platform through flight deployment. · Help guide technical direction for NVIDIA-based embedded systems, balancing performance, power, reliability, and scalability. · Design and optimize GPU-accelerated compute stacks for on-orbit AI/ML inference under strict spaceflight constraints. · Develop high-performance C/C++ and GPU-accelerated components where efficiency is mission-critical. · Lead full-stack performance optimization, including memory management, model acceleration, quantization, and runtime tuning. · Integrate compute subsystems with spacecraft avionics, sensors, radios, and command/telemetry systems. · Contribute to system bring-up, hardware-in-the-loop validation, profiling, and flight-representative testing. · Design for reliability, fault tolerance, and autonomous operation in constrained or degraded environments. · Evaluate emerging onboard processing approaches and applications and determine which warrant system-level integration. · Deliver production-grade systems ready for operational deployment. Minimum requirements: · Must be a U.S. citizen and possess, or have the ability to obtain, a U.S. Government Secret security clearance · Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, Systems Engineering, or equivalent experience. · Significant experience developing software for space, aerospace, or other mission-critical embedded systems. · Strong C/C++ expertise for performance-critical, real-time systems. · Experience optimizing software in resource-constrained environments (power, thermal, memory, latency). · Experience with Linux-based embedded platforms, cross-compilation, debugging, and performance tuning. · Strong understanding of compute architectures (memory hierarchy, concurrency, scheduling, hardware acceleration). · Experience deploying or optimizing AI/ML inference workloads in embedded or edge environments. · Familiarity with spacecraft or aerospace subsystem interfaces (e.g., SpaceWire, CAN, Ethernet, PCIe, telemetry/command architectures). · Ability to operate independently, communicate architectural decisions clearly, and drive technically complex initiatives with minimal oversight. · Proven ability to collaborate effectively across multidisciplinary engineering teams. Preferred Requirements: · Experience with NVIDIA GPUs or GPU-accelerated systems (CUDA a plus). · Familiarity with AI/ML inference acceleration frameworks (TensorRT, ONNX Runtime, or similar). · Exposure to radiation-aware design or flight-qualified hardware considerations. · Experience supporting system bring-up, HIL testing, or flight validation. · Experience tuning inference performance in constrained edge environments. · Background in distributed, fault-tolerant, or autonomous systems. #LI-MG1 Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. ● The base pay for this position within Colorado is: $102,000.00 - $170,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: _ Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions. The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

The Model (Why Top Sales Professionals Join Us) At GHA Technologies, you don’t just close deals—you: ✅ Prospect and win new accounts ✅ Keep and grow those accounts for years ✅ Build a recurring, compounding income stream 👉 This starts as a hunting role 👉 Then becomes your own account portfolio and long-term income and asset growth! Financial Highlights – $5,000 Week One Training Pay and Hiring Bonus! $10k Fast Start Bonus Per Month for 12 months, $120k First Year, requires one new commercial account with at least 250 employees, every two weeks. $1000 per virtual or onsite appointment luncheon bonus Up to $3000 per week for meeting minimum call and one qualified onsite appointment. 200% of the profit margin for the first 90 days of orders shipped. 40% to 59% of the profit margin after 90 days Up to $10k new client account credits Up to $5k new account donation credits Up to $400 of gift cards for business building activities GHA Technologies, Inc. has become the #1 Employee-Owned Value-Added Reseller in America. Past rewards have included #1 Microsoft Western Region VAR, #1 fastest growing company in Arizona, #69 on the CRN Solution Provider 500, #15 2018 CRN Fast Growth 150 List. We sell the latest AI technologies from Nvidia, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, and Power Technologies! We also specialize in mission critical product procurement and integration services for some of the largest Corporate, Government, and Education clients in America! Our client base is a who's who of corporate America! GHA employee owners will receive stock shares every year on top of our industry’s leading commissions, bonuses, and promotional offerings! Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery. Super convenient, orders placed by 9:00 p.m. EST (8:00 p.m. CST) can be received the next morning for in-stock items. Secure, 24-hour access to your own personal portal customized with special pricing on more than 2 million top selling products from 3,500 manufacturers in the USA and across the globe. We are currently HIRING experienced Sales Professionals nationwide with a minimum of three years direct technology sales experience. We offer a highly lucrative earnings and benefits package with top salespeople earning between $96,000 to $2,000,000 annually. W-2 Employment, Medical, Dental, and HSA Benefits, 401K Retirement Plan, and GHA company stock ownership (ESOP) plan. Please email your resume to recruiters@gha-associates.com and schedule a strictly confidential interview. Visit us at: https://www.gha-associates.com/

Hydra Host is a Founders Fund-backed NVIDIA cloud partner building the infrastructure platform that powers AI at scale.We connect AI Factories - high-performance GPU data centers - with the teams that depend on them: research labs training foundation models, enterprises running production inference,

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. You deploy Deepgram’s voice AI platform into complex restaurant environments and make it work in the real world. This role sits at the intersection of engineering, product, and customer systems, partnering closely with customer leadership and technical stakeholders to bring ambitious deployments to life. You embed with enterprise restaurant brands and restaurant technology partners, learn their systems deeply, and integrate our platform into the core of their operations. Along the way you write code, debug production issues, and adapt the platform to real world constraints. You operate as a trusted technical partner to both customer leadership and engineering teams, ensuring deployments move quickly and deliver meaningful business outcomes. You turn real world deployments into leverage for the entire platform by identifying patterns across customers, shaping product improvements, and building the tooling, reference architectures, and playbooks that make each new deployment faster, more reliable, and easier to scale across large restaurant fleets and technology ecosystems. The mission of this role is to ensure every enterprise deployment of Deepgram for Restaurants works like magic — technically flawless and delivering measurable value from day one. This role is based in New York City, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is based in New York City, this would still be a remote-first opportunity, as we do not have an office local to the area. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers. Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization. Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between. Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary. Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers. Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building. You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it. You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product. You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration. Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output. Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof. High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones. Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable. Experience with voice AI, speech-to-text, NLP, or conversational AI systems. Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero. Previous experience embedded within a large enterprise customer’s product deployment. Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Unlimited PTO Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs Learning / Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. You deploy Deepgram’s voice AI platform into complex restaurant environments and make it work in the real world. This role sits at the intersection of engineering, product, and customer systems, partnering closely with customer leadership and technical stakeholders to bring ambitious deployments to life. You embed with enterprise restaurant brands and restaurant technology partners, learn their systems deeply, and integrate our platform into the core of their operations. Along the way you write code, debug production issues, and adapt the platform to real world constraints. You operate as a trusted technical partner to both customer leadership and engineering teams, ensuring deployments move quickly and deliver meaningful business outcomes. You turn real world deployments into leverage for the entire platform by identifying patterns across customers, shaping product improvements, and building the tooling, reference architectures, and playbooks that make each new deployment faster, more reliable, and easier to scale across large restaurant fleets and technology ecosystems. The mission of this role is to ensure every enterprise deployment of Deepgram for Restaurants works like magic — technically flawless and delivering measurable value from day one. This role is based in New York City, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is based in New York City, this would still be a remote-first opportunity, as we do not have an office local to the area. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers. Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization. Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between. Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary. Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers. Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building. You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it. You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product. You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration. Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output. Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof. High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones. Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable. Experience with voice AI, speech-to-text, NLP, or conversational AI systems. Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero. Previous experience embedded within a large enterprise customer’s product deployment. Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Unlimited PTO Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs Learning / Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Hydra Host is a Founders Fund-backed NVIDIA Cloud Partner building the infrastructure platform that powers AI at scale. We connect AI Factories — high-performance GPU data centers — with the teams that depend on them: research labs training foundation models, enterprises running production inference, and developer platforms demanding scalable compute capacity. At our core, Hydra is a financial and settlement layer for AI physical infrastructure. We process and reconcile hundreds of millions of dollars across complex contracts, usage-based consumption, and real-world operational constraints. Correctness, transparency, and trust are not nice-to-haves — they are the product. We are hiring a Senior Billing Engineer to own and build the financial backbone of the Hydra platform. This is not a SaaS billing role. This is not “just integrate Stripe.” We sit at the intersection of physical GPU infrastructure, multi-party contracts, and real money movement. Every GPU server, every second, every credit, every payout must be traceable, auditable, and correct. Your mandate is to make billing a competitive advantage for Hydra: fast and accurate payouts to data center partners, absolute confidence in invoices for renters, and a system that can scale with the complexity of the AI infrastructure market. You will design and implement systems that account for every dollar, handle failure modes gracefully, and turn messy real-world contracts into accurate & reliable financial flows. • Act as a hands-on senior backend engineer owning production billing systems end to end, • Own the design and implementation of Hydra’s end-to-end billing engine and settlement systems, writing and operating production backend services, • Build and maintain a double-entry ledger that provides a complete, immutable paper trail for all financial activity, designed for high concurrency and strict correctness guarantees, • Implement contract-aware billing logic derived from infrastructure lifecycle events (provisioning, decommissioning, maintenance, etc.), including:, • Pre-pay and post-pay contracts, • Metered usage billing tied to physical GPU infrastructure, • Proration, refunds, downtime credits, and contract term transitions, • Credit limits, wallets, and burndown schedules, • Generate accurate invoices and earnings reports for renters and data center partners, • Build automated payout systems to suppliers and partners, ensuring fast and correct settlement, • Integrate and orchestrate money movement across payment rails (ACH, wires, RTP/FedNow, credit cards, crypto), handling retries, partial failures, and reconciliation, • Design for idempotency, guaranteed delivery, and reconciliation across distributed systems, including explicit handling of race conditions and double-spend prevention, • Partner closely with Product, Accounting, Engineering, and Operations to translate real-world contracts into robust software, • Anticipate and handle failure cases: partial payments, retries, reversals, delayed events, and reconciliation gaps, • Modern backend services written in TypeScript (Node.js), • Event-driven and asynchronous architectures, • Relational databases (PostgreSQL or similar) with ACID guarantees, • High-precision numeric handling for financial calculations, • Deep experience building billing, ledger, or financial transaction systems as a hands-on backend engineer, • Strong understanding of double-entry accounting and financial primitives (debits, credits, assets, liabilities), • Experience with invoicing systems, payment processors, and money movement flows, • Proven ability to design resilient systems with idempotency, guarantees, auditability, and strong automated test coverage, • Deep experience handling concurrency, race conditions, and double-spend prevention in high-stakes financial systems, • Experience with event-driven or asynchronous architectures, • Comfort working across multiple systems and domains (product, finance, operations), • High standards for data integrity, quality, automated testing, • Proven track record of owning complex, high-stakes systems end to end, • Experience with treasury or ledger platforms (e.g. Formance, Modern Treasury, or similar), • Experience automating bank integrations and payouts, • Familiarity with usage-based or metered billing models, • Experience supporting two-sided marketplaces or market exchange layers, • Exposure to ERP or accounting system integrations, • Experience working with large-scale data warehouses and financial reporting, • Customer obsession — accuracy and trust matter more than speed alone, • Principled thinking — clear mental models, explicit tradeoffs, and long-term correctness, • Systems thinking — you design for the whole lifecycle, not just the happy path, • Ownership — you see problems, drive solutions, and follow them through without being asked, • Technical curiosity — you want to understand how money, systems, and infrastructure really work and dive head-first to become the best, • Build the financial infrastructure that underpins the AI economy, • Own mission-critical systems with real-world impact and real money at stake, • Work alongside a senior team solving problems most companies never encounter, • Competitive compensation, meaningful equity, and full benefits, • Remote-first team with hubs in Phoenix, Boulder, and Miami, plus regular offsites The AI infrastructure layer is being built right now. If you want to own the financial systems that make it trustworthy, transparent, and scalable — this role is for you.

Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health. Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale. Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems. World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes. For more information, visit _. We are seeking a Customer Success Executive with health systems experience to join our team. You will ensure that our clients achieve measurable outcomes through Hippocratic AI’s innovative solutions. You will have the opportunity to partner and report to the Chief Medical Officer. This role will sit remotely in the Nashville, TN, area and serve local and surrounding clients as needed. It will be required to travel onsite to the client's location regularly. Build and maintain strong relationships with healthcare staff and operational leaders, acting as a trusted resource. Lead product implementations, focusing on aligning solutions with nursing workflows and operational processes. Train nursing teams and other healthcare staff on the effective use of Hippocratic AI solutions, ensuring adoption and success. Identify opportunities to improve workflows and patient care outcomes using AI tools, particularly in bedside care and nursing operations. Manage day-to-day client relationships, ensuring seamless communication and addressing operational concerns. Collaborate with internal teams (product, sales, and engineering) to address client feedback and improve user experiences. Establish metrics to measure success, including patient care outcomes, team adoption rates, and operational efficiencies. Travel extensively to healthcare facilities for onsite support and training, and participate in strategic in-office sessions in Palo Alto. Collaborate with the nursing leadership team to share best practices from AI implementation and be comfortable presenting at conferences/webinars on the impact of AI in Nursing. Must-Have: A minimum of 5 years of health systems experience. Proven experience in customer success, account management, or project management. Ability to build relationships across an organization, from front-line staff to executives. Strong understanding of the healthcare industry, specifically clinical workflows and regulatory requirements. Experience working with cross-functional teams in a fast-paced startup environment. Strong background in project management. Nice-to-Have: Experience with AI or technology adoption in healthcare. Advanced knowledge of healthcare workflows and compliance standards. Active Registered Nurse (RN) license from an accredited university. *Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @_ email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure.For over a decade, we have applied AI to the electric grid — bringing real-time visibility and power-flow control to c

About NineTwoThree NineTwoThree AI Studio is a premier product design, engineering, and marketing firm specializing in custom AI, web, and mobile applications for established brands and funded startups. We are based in Massachusetts but with an American and European staff and a strong, collaborative remote culture. With a portfolio of over 150 launched products over 13 years, NineTwoThree has garnered recognition as a top AI agency in the U.S., earning accolades such as inclusion in the Inc. 5000 list for four consecutive years and being named among the top 50 AI firms alongside industry leaders like Microsoft, NVIDIA, and IBM. We’ve built AI and ML tech for big brands like Consumer Reports, FanDuel, and Nara, as well as startups in legal tech, logistics, education, and more. As a Product Manager at NineTwoThree, you will drive exciting digital product work with a fast-paced and technology-forward team, taking leadership for concept and launch of half a dozen new client products every year. Acting as the primary point of contact, you will effectively serve as the client’s Head of Product, quickly gaining a deep understanding of their business and the needs of their end users. You will work closely with clients to transform their vision into a clear, actionable roadmap for their digital web, mobile, or AI product. You will then use that roadmap to define precise requirements for each key milestone toward a useful product release. Collaborating cross-functionally with our internal teams—design, project management, engineering, and QA—you will guide products from concept through to launch. NineTwoThree moves fast, and you will work with the team to ensure projects stay on track and within scope, while also helping clients adjust priorities, align expectations, and make necessary trade-offs when challenges arise. You will also work across several clients, flexing and building product muscle in various domains, business models, and systems - an enormous professional development opportunity. As an AI-first agency, we place a high value on curiosity and a willingness to learn, especially regarding AI and machine learning. You will collaborate closely with our engineering team to build innovative products that leverage these technologies. Keeping up with the latest AI trends and tools will enable you to bring fresh insights and ensure our solutions remain at the forefront of the industry. Key Responsibilities • Manage 2 to 3 active clients and projects simultaneously, maintaining a clear understanding of project status, timelines, and identifying any potential blockers that require attention., • Research the client’s market to understand industry trends, competitive landscape, and opportunities for differentiation, • Work with the client and additional stakeholders to understand their product vision and define requirements for the full initial product scope, • Work directly with product designers to translate client requirements into intuitive, user-friendly designs and ensure seamless integration with the development process, • Define user stories and requirements for project managers to implement into tasks and acceptance criteria for development and QA, • Lead weekly client meetings to provide updates, discuss project progress, and demo development milestones., • Manage client expectations, including facilitating difficult conversations around scope and prioritization to ensure that budget and timeline requirements are met., • Support sales activities by joining prospect calls and writing proposals, scoping documents, and timelines., • Identify opportunities for, and with, clients to see additional benefits and growth via further product features, marketing services, or ongoing maintenance and support contracts. Qualifications • 3+ years of experience as a product manager of digital products (SaaS, mobile, web, AI, etc;, • Strong experience with relationship management, either in a client-facing role or with executive-level stakeholders, • Excellent communication, negotiation and presentation skills to communicate effectively with customers and project teams;, • Ability to work independently and with a team in a dynamic product-development environment;, • Attention to details, strong analytical skills, organizational skills, and critical-thinking skills;, • Located in the EST time zone (or adjacent, and able to overlap the European team at least between 8am-1pm Eastern); We are glad to offer you: • 100% remote job, • Annual paid vacation: 20 working days per year during the first 3 years, further increasing to 25 days in later years, • Paid sick leave and holidays, • Reimbursement of expenses for professional development courses/certifications (up to 100% in agreement with the Manager), • Well-being budget, • Team and atmosphere: we hire people we trust, so you'll be the part of a strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor Hiring process: We value your time and ours and make the process fast and easy. Our interview process takes the following steps: HR interview, test challenge, second interview with Head of Product and CTO, third interview with CEO (optional), Offer.

📍 Location: Remote or Hybrid (SF or NYC) ReadMe is looking for a back end engineer who enjoys working in a collaborative team environment. Our teams are full of curious, creative, and committed people who love what they’re building. If that sounds like you, you’ll be right at home at ReadMe! We're a small team of humans (and one _) working together to do big things, and we’re growing fast! That’s where you come in. Since we’re a startup, you’ll make a big impact on ReadMe - both in the daily responsibilities of your role and beyond. ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you’ve ever visited the developer docs for Apple, Notion, or Nvidia, you’ve used ReadMe! We love what we do because it’s so much more than just documentation. We’re providing tools for teams to build a better developer experience and make their products and APIs easier to use. You're fluent in TypeScript and have a deep understanding of cloud computing services, making you a go-to for building and scaling modern systems. When it comes to architecture, your skills are top-notch—you're a pro at designing systems that are robust, scalable, maintainable and future-proof. You are able to work cross-functionally with designers and product folks at just the right level—whether it’s big-picture brainstorming or in nitty-gritty details. You thrive on collaboration and know how to create space for everyone’s voice at the table (or Zoom call). Complex problems don’t scare you: you’re a natural at untangling them, finding efficient solutions, and guiding the team toward the finish line—even if it means making a compromise or two along the way. You believe in the magic of iteration—shipping small, learning fast, and improving constantly. You genuinely enjoy mentoring and helping your teammates level up—it’s not just about writing code, but building the people around you up too. You're a pro at striking the perfect balance between driving things forward on your own to deliver real value while also breaking down problems into bite-sized pieces that the whole team can tackle together. You're passionate about engineering and always hungry to learn more, with a knack for diving deep to understand the scope of a problem and crafting the right solutions. We’re all about making life easier for our customers—whether it’s simplifying how they create and maintain their docs or giving them better ways to track API metrics. Solving real problems for our users means we get to tackle some seriously interesting technical challenges. Some examples of projects Back End Engineers have worked on recently include: We built a Git-backed data storage service to scale with our growing customer base, serving thousands of projects seamlessly via Git storage. But it wasn’t just a cool engineering feat—it empowers our users to manage their docs directly from their existing Git repositories. People say documentation is where information goes to die, but we’re on a mission to make ReadMe the place where documentation truly comes to life! Some projects are about looking back so we can build a better future. To keep ReadMe moving forward, we took a hard look at our original API layer and realized it needed a redesign—not just for our sake, but to make our customers' lives easier too. So, we rolled up our sleeves, reworked our API models, separated our APIs from our data layer, and automated API documentation. It’s easy for companies to just keep stacking onto what already exists, but at ReadMe, we believe quality improvements matter just as much as new features. ReadMe is a company that prides itself on caring about it’s people; customers and employees. We don’t just care about the work we do, but the people who make ReadMe what it is. Take a glance at our benefits and you’ll see that our culture of care is intentionally built into how we operate as a company. Unlimited PTO with a three-week minimum. 🏝 Fully covered medical, dental, and vision insurance for you, and your dependents. 🩺 A One Medical membership. 🧑‍⚕️ A wellness stipend for therapy of up to $350 per month for up to 6 months. 😌 A wellness stipend of up to $150 per month. 🏋️ One-to-one donation matching of up to $1,000 per year. 💸 Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣 Work from home office stipend of $500. 🖥️ Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️ Take a look at our _ for more information on our benefits! 📘 At ReadMe, we want the interview process to reflect who we are: open, caring, with just a touch of whimsy. We’ve designed the process not only to embody the values that have helped us build an amazing team but also to give candidates the best opportunity to showcase their skills and let their true selves shine. After all, it’s about finding the right people to help take ReadMe even further! If you want a deeper dive into our hiring philosophy check out this blog post about _. If we think we might be a good fit for you, we’ll set up a 30 minute phone chat with one of our Engineering Managers. They'll tell you more about the role, and get a chance to learn more about your personal experience. Next, a 30-minute phone interview with Laura, our VP of Engineering, where we’ll dive a bit more into your background. We’ll then do a technical assessment with a couple of ReadMe’s engineers. Finally, we’ll invite you to an "onsite" interview conducted over Zoom! These take an average of 4.5 hours including an hour break. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you’ll be interviewing with, and then have you talk with each person one-on-one later on. We’ll let you know how things went within a week! If it seems like a good fit all around, we’ll extend you an offer! If not, we will update you to let you know so you aren’t left hanging. At ReadMe, we’re committed to cultivating a diverse and inclusive workplace. We welcome people of all backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here!

📍 Locations: San Francisco (Hybrid), New York (Hybrid), Columbus (Hybrid), or Remote (US) We’re hiring an AI Engineer to shape how AI shows up across ReadMe’s product: from how developers explore and understand APIs to how companies author and maintain their documentation. We’re at the forefront of a major shift in developer experience: AI agents need APIs to talk to each other, and those APIs need to be understandable, structured, and explorable At the same time, writers and developers are looking for better ways to generate and maintain documentation with AI We're a small team of humans (and_) working together to do big things — and that’s where you come in. In this role you’ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture. ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you’ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you’ve used ReadMe! We love what we do because it’s so much more than just documentation. We’re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We’ve got great support from our investors at Accel who led our, and reflects the open, caring, and whimsical culture we want to maintain as we scale. This isn’t a feature team where a PM hands you tickets. You’ll help decide what gets built, why it matters, and how it works end-to-end. You’ll work on systems that are already live across thousands of developer hubs and define what they become next. ReadMe's AI surface spans three bets we're doubling down on: Documentation that writes itself. AI that watches code change and keeps docs current — from PR-level suggestions to org-wide audits that surface and fix quality issues at scale. Answers, not search results. A conversational layer embedded directly in developer hubs, grounded in real docs, that gives developers the right answer instead of a list of links to dig through. APIs that are agent-ready. As AI agents increasingly talk to APIs, the structure and clarity of those specs matters more than ever. We're building the systems that make APIs understandable by both humans and machines. Day to day, you’ll: Design end-to-end AI systems: combining LLMs, embeddings, retrieval pipelines, and structured outputs into reliable product features. Build grounding and retrieval layers: indexing docs, OpenAPI specs, and customer data to support accurate, context-aware generation. Define evaluation systems: measuring accuracy, latency, cost, and user impact; building feedback loops to continuously improve quality. Handle real-world complexity: malformed specs, inconsistent docs, edge-case APIs, and ambiguous user queries. Make architectural tradeoffs: latency vs. quality, cost vs. coverage, deterministic vs. generative approaches. Own production reliability: observability, fallbacks, rate limiting, and safe degradation when systems fail. Work across the stack: from model orchestration and backend systems to the UI surfaces that expose them. Want to own meaningful systems end-to-end, not just features. Care deeply about developer experience and documentation quality. Enjoy working on problems where AI, APIs, and product design intersect. Have strong instincts about what makes AI actually useful and where the industry is headed. Experience building with LLMs in production, not just prototypes. Strong JavaScript/TypeScript or Python experience. Experience working with: Embeddings and retrieval systems (RAG). Prompting and structured outputs. Evaluation and iteration of AI systems (quality, latency, cost). Comfort working with APIs and structured data (JSON, OpenAPI, schemas). Experience designing and shipping end-to-end systems, from backend pipelines to user-facing product surfaces. Strong instincts around when to use AI vs. deterministic approaches. Experience improving AI reliability, observability, and production readiness. Familiarity with real-world edge cases (messy data, inconsistent inputs, ambiguous queries) and how to handle them. Build a deep understanding of ReadMe’s AI systems and product surfaces. Ship meaningful improvements to existing AI features. Get close to real customer workflows and pain points. Own a core part of one of our AI systems. Drive improvements in quality, reliability, and user experience. Contribute to product and technical direction. Be a key driver of AI across the product. Ship systems used daily by thousands of developers and teams. Help define how AI reshapes developer hubs and API workflows. We can’t wait to read your resume and (hopefully personality-filled) cover letter! Let us know what excites you about full stack engineering, and help us get to know you better! If we think we might be a good fit for you, we’ll set up a 30 minute phone chat with our VP Engineering Moses! He’ll tell you more about the role, and get a chance to hear about your experiences. Next will be a second 30 minute phone interview with Davin, one of our Engineering Managers, where we’ll dive a bit more into your background. We’ll then do a technical assessment with a couple of ReadMe engineers. Finally we’ll invite you to an "onsite" interview conducted over Zoom! These usually take 3.5 to 5 hours including an hour break in between. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you’ll be interviewing with, and then have you talk with people one-on-one later on. We’ll let you know how things went within a week! If it still seems like a good fit all around, we’ll extend you an offer! If not, we will update you to let you know so you aren’t left hanging. Unlimited PTO with a three-week minimum. 🏝️ Fully covered medical, dental, and vision insurance for you, and 100% for your dependents. A One Medical membership. 👨‍⚕️ A gym or fitness stipend of up to $150 per month. 🏋️‍♀️ One-to-one donation matching of up to $1,000 per year. 💸 Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣 Work from home. 🏠 Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️ Take a look at our_ for more information on our benefits! 📘 Not sure if you’d be the right fit? Apply anyway! We’d love to see your application. At ReadMe, we’re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.

At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 2M models, 700k datasets & 600k apps. Our open-source libraries have more than 600k+ stars on Github. About the Role As a Cloud Machine Learning Evangelist, your goal will be to increase the impact of the Hugging Face ML Cloud team by educating the community of ML practitioners on how they can benefit by accelerating their training and inference workloads. The Hugging Face ML Cloud team is working through strategic collaborations with the most used Clouds (AWS, GCP, Azure, Cloudflare), AI Accelerators (incl. NVIDIA, AMD, Intel, Gaudi, Inferentia, TPU), and Systems (Dell, Nutanix), to make it easy for the community to use Hugging Face models and libraries on these compute platforms. These partnerships are core to Hugging Face product strategy as an open platform (no lock-in of customers), and monetization strategy to drive usage and revenue for our partners through commercial collaborations and product extensions. This is not a marketing role, or a business development role. Your impact will be driving visibility and usage of integrations with strategic partners, through activities including: • Publishing technical blog posts, • Contributing documentation and code examples, • Speaking to business and technical audiences at partner conferences,, • Participating in, or producing webinars, • Building and evangelizing demos, • Leading GTM conversations with strategic partners. You will be at the forefront of Generative AI (and how to build practical stuff with open source). You will work hand in hand with the most important companies in AI. You will enjoy a lot of autonomy and full creative control, with the goal to have 10x more impact than a similar role at a big tech corporation. About You You are passionate about ML Engineering, building practical AI applications, putting them in production, and accelerating them to the best of the Cloud ability. You love learning new challenging engineering concepts and technologies, and discussing them with engineers. You appreciate a good Developer Experience, and take pride in your code being easy to understand. You are a great communicator and educator, comfortable (as much as one can be!) with public speaking to technical audiences. You love engaging with the ML community in a positive and helpful way. Existing engagement in social platforms (GitHub, LinkedIn, Twitter, Reddit, etc) or other communication/education channels is expected. Having experience in Open Source development will be helpful.. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Financial Highlights – Enjoy an Immediate Pay Raise and Professional Growth! $10k Fast Start Bonus Per Month for 12 months, $120k First Year, requires one new commercial account with at least 250 employees, every two weeks. $2,500 First Week Training Pay for the first five training days. $500 per virtual appointment bonus with food with no bonus limit. Up to $1500 per week for meeting minimum call and one qualified onsite appointment. 200% of the profit margin for the first 90 days of orders shipped. 40% to 59% of the profit margin after 90 days Up to $10k new client account credits Up to $5k new account donation credits Up to $400 of gift cards for business building activities GHA Technologies, Inc. has become the #1 Employee-Owned Value-Added Reseller in America. Past rewards have included #1 Microsoft Western Region VAR, #1 fastest growing company in Arizona, #69 on the CRN Solution Provider 500, #15 2018 CRN Fast Growth 150 List. We sell the latest AI technologies from Nvidia, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, and Power Technologies! We also specialize in mission critical product procurement and integration services for some of the largest Corporate, Government, and Education clients in America! Our client base is a who's who of corporate America! GHA employee owners will receive stock shares every year on top of our industry’s leading commissions, bonuses, and promotional offerings! Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery. Super convenient, orders placed by 9:00 p.m. EST (8:00 p.m. CST) can be received the next morning for in-stock items. Secure, 24-hour access to your own personal portal customized with special pricing on more than 2 million top selling products from 3,500 manufacturers in the USA and across the globe. We are currently HIRING experienced Sales Professionals nationwide with a minimum of three years direct technology sales experience. We offer a highly lucrative earnings and benefits package with top salespeople earning between $96,000 to $2,000,000 annually. W-2 Employment, Medical, Dental, and HSA Benefits, 401K Retirement Plan, and GHA company stock ownership (ESOP) plan. Please email your resume to recruiters@gha-associates.com and schedule a strictly confidential interview. Visit us at: https://www.gha-associates.com/

About the Company Armada is a full-stack edge infrastructure company delivering compute, connectivity, and sovereign AI/ML to some of the world’s most remote places. Named one of Fast Company's Most Innovative Companies, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense. With over $200 million in funding, Armada is backed by top investors such as Microsoft (M12), Founders Fund, and has strategic partnerships including Starlink, Skydio, and NVIDIA. We are looking for the most brilliant minds in the world to join us. Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world. About Armada Armada delivers sovereign, mission-ready AI infrastructure designed to operate where traditional cloud and centralized data center models cannot. Our platform includes Atlas as the control plane, Galleon modular edge data centers powered by the Armada Edge Platform, and Leviathan, Armada’s AI Factory, which partners with Bridge, our GPU-as-a-Service offering. Together, these capabilities enable secure, resilient AI operations across classified, regulated, and mission-critical environments, supporting defense, intelligence, energy, and industrial enterprises. The Americas and US Federal markets are strategic priorities for Armada. Customers across defense, intelligence, civilian agencies, and enterprise sectors require infrastructure that meets the highest standards for security, compliance, resilience, and operational control. This role ensures Armada’s platform is successfully deployed, adopted, and operated across both FedRAMP-regulated and classified environments as well as commercial enterprise customers throughout the Americas. Role Overview The Senior Director of Customer Success & Delivery for Americas & US Federal leads Armada’s post-sales organization across the region, ensuring successful deployment, operational excellence, and long-term customer value realization. This role owns the full post-award lifecycle, from onboarding and deployment through production operations, customer success, and expansion. The Senior Director leads teams of Technical Account Managers, Forward Deploy Engineers, and Mission Success Engineers responsible for delivering Armada’s AI infrastructure platform in complex enterprise and federal environments. The position combines delivery leadership, technical credibility, and executive customer engagement to ensure Armada becomes a trusted long-term partner to mission owners and enterprise leaders. Success is measured by customer adoption, mission outcomes delivered, operational stability, renewals, and platform expansion across the Americas. Key Responsibilities Regional Customer Success & Delivery Leadership • Own Customer Success and Delivery outcomes across US Federal and Americas enterprise customers, • Define and operate a regional post-sales model aligned with both commercial enterprise requirements and federal security frameworks, • Translate customer mission and business objectives into structured success plans, milestones, and measurable outcomes, • Drive long-term retention, expansion, and platform adoption through consistent execution and customer trust Deployment and Operational Execution • Own the post-award lifecycle from contract execution through deployment, activation, and steady-state operations, • Ensure rapid time-to-value for AI workloads deployed on Armada’s edge infrastructure platform, • Lead delivery governance across hardware, networking, platform infrastructure, and AI workload readiness, • Establish repeatable deployment playbooks, delivery processes, and operational runbooks suitable for both enterprise and government environments Federal Security, Compliance & Accreditation • Lead deployments operating under FedRAMP Moderate and High environments and classified infrastructure requirements, • Partner with federal security and compliance teams on ATO processes, continuous monitoring, and audit readiness, • Ensure deployments align with NIST 800-53 controls, federal risk management frameworks, and agency-specific security requirements, • Serve as the senior escalation authority for accreditation, compliance, and security-related concerns, • Maintain strict adherence to clearance protocols, need-to-know requirements, and operational security standards Executive Stakeholder Engagement • Build trusted advisor relationships with senior government officials, enterprise executives, and mission leaders, • Lead executive program reviews and operational governance sessions focused on mission impact, system reliability, and roadmap alignment, • Communicate value in terms of mission effectiveness, operational resilience, and measurable business outcomes, • Maintain credibility in high-stakes, sensitive operational environments Adoption, Expansion & Platform Growth • Drive adoption of Atlas, Galleon with AEP, and Leviathan AI Factory deployments integrated with Bridge GPU-as-a-Service, • Support transitions from pilot environments to full production deployments, • Identify opportunities to expand deployments into additional agencies, regions, or enterprise programs, • Partner closely with Sales and Capture teams to drive expansion while preserving strong post-award trust Customer Health and Risk Management • Define and monitor customer health indicators tied to mission success, platform adoption, and operational stability, • Identify risks early and drive cross-functional resolution across engineering, product, and security teams, • Lead executive-level escalations and crisis management when required Team Leadership & Organizational Development Build and scale a regional Customer Success organization across the Americas Recruit and develop teams including: • Technical Account Managers, • Forward Deploy Engineers, • Mission Success Engineers, • Customer Success leaders Create a culture of accountability, discretion, and mission-first execution Ensure teams operate in compliance with federal security requirements and enterprise governance standards Cross-functional Leadership inside Armada • Partner closely with Product, Engineering, Security, Compliance, and Government Programs teams, • Represent the voice of Americas customers in product roadmap decisions and service delivery models, • Help shape Armada’s global delivery framework and FedRAMP operating model Qualifications and Experience • 10+ years of experience in customer success, technical delivery, program leadership, or professional services, • Experience leading large enterprise or federal technology deployments, • Active TS/SCI clearance preferred; Full Scope Polygraph strongly desired, • Strong technical foundation in AI infrastructure, edge computing, data center platforms, and GPU-accelerated workloads, • Demonstrated success delivering outcomes in regulated, classified, or mission-critical environments, • Executive-level communication skills with experience engaging senior government and enterprise stakeholders Preferred Experience • Direct experience with FedRAMP Moderate or High environments, • Background supporting DoD, Intelligence Community, or federal civilian agencies, • Experience operating in disconnected, denied, or edge environments, • Experience scaling AI or compute infrastructure from pilot to production What Success Looks Like • Federal and enterprise customers operating stable, secure AI infrastructure in production, • Atlas, Galleon, and Leviathan deployments integrated with Bridge GPUaaS delivering measurable operational impact, • Successful accreditations, renewals, and expansions across the Americas, • Armada recognized as a trusted long-term AI infrastructure partner for mission-critical environments, • A high-performing regional Customer Success organization driving sustained growth across US Federal and Americas enterprise markets Compensation & Benefits For U.S. Based candidates: To ensure fairness and transparency, the on-target earnings salary range for this role for candidates in the U.S. are listed, varying based on location experience, skills, and qualifications. In addition to the salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits • Medical, dental, and vision (subsidized cost), • Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA), • Retirement plan options, including 401(k) and Roth 401(k), • Unlimited paid time off (PTO), • 15 paid company holidays per year #LI-Remote #HP-1 Compensation $231,000 - $288,000 USD You're a Great Fit if You're • A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge, • A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude, • Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company, • A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda, • Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.

📍 Locations: San Francisco (Hybrid), New York (Hybrid), or Remote (US) We’re growing our Support team and are seeking a seasoned Enterprise Support Engineer with deep API expertise, strong technical judgment, and a proven track record of supporting complex customer environments. This role is designed for someone who knows how to navigate ambiguity, manage high-stakes situations, and communicate clearly with stakeholders ranging from developers to executives. At ReadMe, Support is not simply reactive. Our Enterprise Support Engineers are trusted partners to our customers -- helping them maintain world-class developer documentation, optimize their integrations, and confidently scale their use of our platform. You look beyond individual tickets to understand systemic issues, advocate internally for customers, and proactively improve the overall customer experience. We're a small team of humans (and_) working together to do big things — and that’s where you come in. In this role you’ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture. 🦉 What we do ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you’ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you’ve used ReadMe! We love what we do because it’s so much more than just documentation. We’re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We’ve got great support from our investors at Accel who led our, and reflects the open, caring, and whimsical culture we want to maintain as we scale. Serve as a primary technical point of contact for enterprise customers. Deliver timely, accurate, and highly professional support across multiple channels (In-App Messenger, forums, social, feature boards, and escalations). Troubleshoot complex API, authentication, CI/CD, and front-end implementation issues. Partner cross-functionally with Engineering, Product, and Customer Success to advocate for customer needs. Identify patterns in support cases and proactively recommend product or process improvements. Draft clear, executive-ready communications during escalations or incident scenarios. File detailed bug reports, provide reproducible test cases, and contribute technical fixes when appropriate. Contribute to and elevate internal and external documentation. You have significant experience supporting enterprise or high-growth SaaS customers. You remain calm and structured during high-priority or time-sensitive situations. You can confidently say “no” or reset expectations while preserving trust. You communicate complex technical concepts clearly to both technical and non-technical audiences. Technical Skills APIs and API debugging Swagger / OpenAPI specifications OAuth, SAML, and SSO authentication flows Git and CI/CD troubleshooting Front-end technologies (HTML, CSS, JavaScript) Markdown Chrome Developer Tools CLI environments npm packages and modern JavaScript ecosystems Leveraging AI tools (e.g., Claude, ChatGPT) in debugging workflows - with strong judgment and verification Diagnosing performance, configuration, and integration issues Support Skills You have a structured investigation and root-cause analysis process. You follow through on every issue and ensure closure. You identify recurring friction points and advocate for systemic improvements. You’re proactive, detail-oriented, and accountable. You understand metrics (SLAs, CSAT, time to resolution) and consistently perform at a high level. You enjoy turning high-stakes or frustrated customers into long-term advocates. You can operate independently while collaborating cross-functionally. You want to help shape enterprise-grade support at a growing company. You’re excited to have real impact at an early-stage but scaling startup. Build relationships with Support, Engineering, Product, and Success teams. Deeply learn ReadMe’s product architecture, features, and customer use cases. Train on our support tools and internal processes. Begin troubleshooting and resolving real customer issues. Understand our SLAs, escalation paths, and support performance metrics. Confidently manage enterprise-level customer conversations. Develop a strong command of OpenAPI and advanced implementation patterns. Identify product gaps and contribute meaningful feedback to Engineering. Own complex investigations from intake to resolution. Strengthen internal documentation and knowledge-sharing processes. Be recognized as a ReadMe product expert. Serve as a trusted technical advisor to key customers. Help shape support processes as we scale. Contribute significantly to reducing friction across the customer journey. Play a key role in maintaining the high standard of enterprise support that defines ReadMe. Create a ReadMe project, it’s free for 14 days with no credit card required! Explore ReadMe and create a page in your project to show us who you are and why you want to join our team! Share the URL in the "Website" field as part of your application. We can’t wait to read your resume and (hopefully personality-filled) ReadMe project! Let us know what excites you about the role, and help us get to know you better! If we think we might be a good fit for you, we’ll set up a 30-minute Zoom call with Jesse Yowell, our Head of Support! We’ll tell you more about the role, and get a chance to hear about your experiences. Next will be a take home project and 30-minute conversational interview with one of our Enterprise Support Engineers to assess your troubleshooting skills. Then we’ll invite you to an "onsite" interview conducted over Zoom! You’ll get to meet everyone on the support team, members from other ReadMe teams, and dig a little more into your technical skills! We’ll let you know how things went within a week! If it still seems like a good fit all around, we’ll extend you an offer! If not, we will update you to let you know so you aren’t left hanging. Unlimited PTO with a three-week minimum. 🏖️ Fully covered medical, dental, and vision insurance for you, and 100% for your dependents. 🩺 A One Medical membership. 🧑‍⚕️ A gym or fitness stipend of up to $150 per month. 🏋️‍♀️ One-to-one donation matching of up to $1,000 per year. 💸 Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣 Hybrid work. 🏠 Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️ Take a look at our_ for more information on our benefits! 📘 Not sure if you’d be the right fit? Apply anyway! We’d love to see your application. At ReadMe, we’re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.

📍 Locations: San Francisco (Hybrid), New York (Hybrid), or Remote (US) We’re hiring an OpenAPI (OAS) Engineer to own and evolve the systems that power our API Explorer and API Designer - two of the most critical surfaces in the ReadMe product. This role sits at the intersection of developer experience, API design, and product engineering. You’ll shape how thousands of companies design, validate, and interact with their APIs. You won’t just be implementing specs…you’ll help define how APIs should feel. We're a small team of humans (and_) working together to do big things — and that’s where you come in. In this role you’ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture. ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you’ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you’ve used ReadMe! We love what we do because it’s so much more than just documentation. We’re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We’ve got great support from our investors at Accel who led our, and reflects the open, caring, and whimsical culture we want to maintain as we scale. This isn’t a feature team where a PM hands you tickets. You’ll help decide what gets built, why it matters, and how it works end-to-end. But you won’t be doing it alone. ReadMe is a highly collaborative environment where people show up for each other. Ownership here means you’re driving, but not driving solo. You’ll specifically own: The API Explorer and API Designer: the tools thousands of companies rely on to design, test, and interact with their APIs through ReadMe. The OAS pipeline: how we parse, validate, transform, and render OpenAPI specs across the product. The technical vision: where these surfaces go next as the API landscape evolves (new spec versions, AI-assisted workflows, shifting developer expectations). The developer experience: you’ll think deeply about what it feels like to use these tools, not just whether they work. Day-to-day that means you’ll: Ship meaningful improvements early, changes that customers notice, even before the full vision takes shape. Define a technical roadmap for the OAS-powered surfaces that the team can get behind and build toward together. Make the big architectural calls. Decide what to evolve, what to reimagine, and how to get there. Stay ahead of the curve. The API tooling landscape is shifting fast. You’ll keep an eye on where things are heading and make sure ReadMe stays out in front. Care deeply about developer experience and API usability. Have strong opinions on what makes a “good” API - and can back them up. Enjoy working on tools that other developers use every day. Like turning complex systems into simple, elegant interfaces. Are excited about how AI can improve how developers understand and use APIs. Deep familiarity with OpenAPI / Swagger. Strong JavaScript/TypeScript experience. Experience building or working with API explorers or API clients. Understanding of: Authentication flows (OAuth, API keys, SSO) REST API design patterns JSON Schema and validation systems Comfort debugging real API requests (headers, payloads, errors). Familiarity with frontend systems (React, rendering structured data). Experience designing developer-facing tools is a big plus. Learn how ReadMe ingests and renders OpenAPI specs. Ship your first improvements to the API Explorer or Designer. Pair with engineers across the product and platform teams. Own meaningful parts of the API Explorer or Designer experience. Identify gaps in how we handle OpenAPI and propose solutions. Become a go-to resource for API-related decisions across the company. Define the direction of API tooling at ReadMe. Have shipped major improvements used by thousands of developers daily. Help shape how modern APIs are designed and consumed. We can’t wait to read your resume and (hopefully personality-filled) cover letter! Let us know what excites you about full stack engineering, and help us get to know you better! If we think we might be a good fit for you, we’ll set up a 30 minute phone chat with our VP Engineering Moses! He’ll tell you more about the role, and get a chance to hear about your experiences. Next will be a second 30 minute phone interview with one of our Engineering Managers where we’ll dive a bit more into your background. We’ll then do a technical assessment with a couple of ReadMe engineers. Finally we’ll invite you to an "onsite" interview conducted over Zoom! These usually take 3.5 to 5 hours including an hour break in between. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you’ll be interviewing with, and then have you talk with people one-on-one later on. We’ll let you know how things went within a week! If it still seems like a good fit all around, we’ll extend you an offer! If not, we will update you to let you know so you aren’t left hanging. Unlimited PTO with a three-week minimum. 🏝️ Fully covered medical, dental, and vision insurance for you, and 100% for your dependents. A One Medical membership. 👨‍⚕️ A gym or fitness stipend of up to $150 per month. 🏋️‍♀️ One-to-one donation matching of up to $1,000 per year. 💸 Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣 Work from home. 🏠 Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️ Take a look at our_ for more information on our benefits! 📘 Not sure if you’d be the right fit? Apply anyway! We’d love to see your application. At ReadMe, we’re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.

Senior Product Manager / Account Manager About NineTwoThree NineTwoThree AI Studio is a premier product design, engineering, and marketing firm specializing in custom AI, web, and mobile applications for established brands and funded startups. We are based in Massachusetts but with an American and European staff and a strong, collaborative remote culture. We’re a team that loves doing good work with great people. Our relatively small size keeps us fast and nimble. The wealth of knowledge, experience and talent paired with proven recipes and best practices allows us to find opportunities to help new products succeed. With a portfolio of over 150 launched products over 13 years, NineTwoThree has garnered recognition as a top AI agency in the U.S., earning accolades such as inclusion in the Inc. 5000 list for four consecutive years and being named among the top 50 AI firms alongside industry leaders like Microsoft, NVIDIA, and IBM. We’ve built AI and ML tech for big brands like Consumer Reports, FanDuel, and Nara, as well as startups in legal tech, logistics, education, and more. Job Description As a Senior Product Manager at NineTwoThree, you will drive exciting digital product work with a fast-paced and technology-forward team, taking leadership for concept and launch of half a dozen new client products every year. Acting as the primary point of contact, you will effectively serve as the client’s Head of Product, quickly gaining a deep understanding of their business and the needs of their end users. You will work closely with clients to transform their vision into a clear actionable roadmap for their digital web, mobile, or AI product. You will then use that roadmap to define precise requirements for each key milestone toward a useful product release. Collaborating cross-functionally with our internal teams—design, project management, engineering, and QA—you will guide products from concept through to launch. NineTwoThree moves fast, and you will work with the team to ensure projects stay on track and within scope, while also helping clients adjust priorities, align expectations, and make necessary trade-offs when challenges arise. You will also work across several clients, flexing and building product muscle in various domains, business models, and systems - an enormous professional development opportunity. As an AI-first agency, we place a high value on curiosity and a willingness to learn, especially regarding AI and machine learning. You will collaborate closely with our engineering team to build innovative products that leverage these technologies. Keeping up with the latest AI trends and tools will enable you to bring fresh insights and ensure our solutions remain at the forefront of the industry. Key Responsibilities • Manage 2 to 3 active clients and projects simultaneously, maintaining a clear understanding of project status, timelines, and identifying any potential blockers that require attention., • Research the client’s market to understand industry trends, competitive landscape, and opportunities for differentiation, • Work with the client and additional stakeholders to understand their product vision and define requirements for the full initial product scope, • Work directly with product designers to translate client requirements into intuitive, user-friendly designs and ensure seamless integration with the development process, • Define user stories and requirements for project managers to implement into tasks and acceptance criteria for development and QA, • Lead weekly client meetings to provide updates, discuss project progress, and demo development milestones., • Manage client expectations, including facilitating difficult conversations around scope and prioritization to ensure that budget and timeline requirements are met., • Support sales activities by joining prospect calls and writing proposals, scoping documents, and timelines., • Identify and manage opportunities to up-sell clients on additional product features, marketing services, or ongoing maintenance and support contracts., • 5+ years of experience as a product manager of digital products (SaaS, mobile, web, AI, etc;, • Strong experience with relationship management, either in a client-facing role or with executive-level stakeholders, • Excellent communication, negotiation and presentation skills to communicate effectively with customers and project teams;, • Ability to work independently and with a team in a dynamic product-development environment;, • Attention to details, strong analytical skills, organizational skills, and critical-thinking skills;, • Located in the EST time zone (or adjacent, and able to overlap the European team at least between 8am-1pm Eastern); 100% remote job • Annual paid vacation: 20 working days per year during the first 3 years, further increasing to 25 days in later years, • Paid sick leave and holidays, • Reimbursement of expenses for professional development courses/certifications (up to 100% in agreement with the Manager), • Well-being budget, • Team and atmosphere: we hire people we trust, so you'll be the part of a strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor Hiring process: We value your time and ours and make the process fast and easy. Our interview process takes the following steps: HR interview, test challenge, second interview with Head of Product and CTO, third interview with CEO (optional), Offer. Join us!

About Beacon AI Beacon AI is developing AI pilot assistant technology to transform aviation, flight safety, operational efficiency, and pilot capabilities. We are on a mission to leverage the power of artificial intelligence and advanced data analytics to revolutionize the aviation industry. Join us to be at the cutting edge of technological innovation for the second century of aviation. Role Overview Beacon AI is looking for experienced software engineers in the San Francisco Bay Area to develop edge computing solutions and aviation route planning software that can reliably perform complex tasks in aviation environments. You will help design, integrate, test, deploy, and maintain new software functionality in aircraft across the globe. You will join a diverse team that is dedicated to making a real-world impact using advanced, creative technologies. This is a full-time, salaried position, located in San Carlos, CA. You will be co-working with amazing colleagues in person, onsite three days a week. Key Responsibilities Edge Computing Solutions: Develop and maintain edge computing software to enhance real-time data processing and decision-making capabilities on aircraft. Aviation Route Planning: Design and implement sophisticated aviation route planning algorithms to optimize flight paths, enhance safety, and improve operational efficiency. System Integration: Integrate various software and hardware components to create a cohesive system that operates reliably in dynamic aviation environments. Testing and Deployment: Conduct thorough testing and validation of software functionality, ensuring reliability and performance in real-world scenarios. Code Quality: Write high-quality, extensible code that is well-tested and documented. Collaboration: Collaborate proactively with a distributed team to deliver software features using modern middleware technologies. Code Reviews: Contribute quality code reviews for internal and external engineers. Security: Identify and fix security vulnerabilities in open-source code. Agile Practices: Advance modern, agile, secure software development practices that enhance excellent engineering practices. What Will Make You Successful Edge Computing Expertise: Experience developing edge computing solutions, particularly in resource-constrained environments. Route Planning Proficiency: Strong background in designing and implementing route planning algorithms for aviation or similar fields. Problem-Solving Skills: Strong problem-solving abilities and experience with debugging and troubleshooting complex systems. Programming Proficiency: Proficiency in programming languages such as C++, Python, or similar. Bonus Points Aviation Experience: Understanding of the specific data needs and challenges in aviation or related fields. Embedded Systems: Experience working with embedded systems, sensors, and drivers. GPU/IoT Devices: Experience working with Nvidia GPUs/IoT devices or similar. This is a hybrid role and requires working from our San Carlos, CA office at least three days a week, with the option to work remotely the remaining days. Perks & Benefits for Full-Time Employees: Comprehensive Healthcare Coverage: Enjoy peace of mind with our generous health benefits, with 80% of medical costs covered by the company for the employee and 25% for their dependents. Paid Time Off: Recharge and relax with 3 weeks of paid vacation, in addition to 14 company-paid holidays each year. Connectivity Stipend: Stay connected with our cell phone benefit, ensuring you have the tools you need to excel in your role. Health and Wellness Allowance: Use this towards a gym membership or subscription to a meditation app, empowering you to prioritize self-care and maintain a healthy lifestyle. Financial Planning: Prepare for the future with our 401(k) program. While we currently do not offer matching, we are committed to enhancing this benefit in the future. For nearly all roles, the following may apply: At this time, due to United States Department of State regulations, we are only able to hire U.S. Persons. A U.S. Person is a lawful permanent resident (U.S. citizen, legal immigrant with a 'Green Card', or a protected individual who has been granted permanent asylum or refugee status.) These aerospace restrictions mean that we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. All work must be performed in the United States. Beacon AI provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. In addition to federal law requirements, employer complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Employer expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of employees to perform their job duties may result in discipline up to and including discharge.

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Opportunity Deepgram is seeking a talented, support-focused Solutions Architect (Applied Engineer) to join our Applied Engineering (AppEng) team. In this role, you will directly engage with customers to solve complex technical challenges while simultaneously building scalable solutions that enhance our support infrastructure. You'll own complete customer engagements in a post-sales capacity, and occasionally assist with pre-sales and implementation projects as needed. Your strong engineering background will enable you to resolve sophisticated technical issues, create repeatable solutions, and develop automation that allows the broader AppEng team to focus on high-impact pre-sales activities. This position offers an excellent path to grow into broader implementation and pre-sales roles while making an immediate impact on our customer support experience. As a key member of the Applied Engineering team, you'll influence our customer support strategy, and play a crucial role in ensuring our customers receive exceptional technical assistance throughout their journey with Deepgram. Location This role is based in San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is anchored in our San Francisco office, Deepgram continues to be remote-first and we don't expect you to be in the office every day. We believe a mix of in-person and remote work allows us to share context and build productively. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions About Applied Engineering at Deepgram The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Experience (DX) teams to ensure a positive, growth-focused experience for our customers. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers. As a support-focused Applied Engineer, you'll be primarily concerned with elevating our technical support capabilities while having opportunities to contribute to the broader Applied Engineering mission in pre-sales, implementation, and more. What You'll Do Own complete post-sales customer engagements, providing direct technical guidance and solutions Lead the technical resolution of complex customer support issues, serving as an escalation point for challenging technical problems Design and implement systematic improvements to our support process and infrastructure Create automated solutions and self-service tools that address common customer challenges Analyze support ticket patterns to identify product improvement opportunities and preventative measures Develop technical documentation, guides, and best practices that enable customers to self-solve issues Collaborate with product and engineering teams to advocate for customer needs and influence roadmap priorities Partner with the broader Applied Engineering team to share knowledge and balance support workload Occasionally assist with implementation projects and pre-sales activities as needed Time Allocation 50% - Direct customer engagement and technical problem solving 30% - Building automation and scalable support solutions 10% - Developing documentation and self-service resources 10% - Contributing to broader Applied Engineering initiatives and pre-sales activities You'll Love This Role If You Enjoy direct customer interaction and solving complex technical challenges Are passionate about creating scalable solutions that enhance customer experiences Find satisfaction in improving systems and processes to increase efficiency Have a talent for identifying patterns and translating them into actionable improvements Are energized by opportunities to apply engineering principles to customer-facing challenges See technical support as a strategic function that drives customer satisfaction and retention It's Important To Us That You Have 3+ years of experience in technical support, solutions engineering, or similar customer-facing technical roles Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, Rust, C/C++, or similar languages Experience developing automation solutions and improving technical processes Proven ability to troubleshoot complex technical issues in production environments Excellent written and verbal communication skills with the ability to explain technical concepts clearly It Would Be Great if You Had Experience with speech recognition, NLP, or related AI technologies Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s) Experience with API-first products and developer tools Background in support automation techniques and tools Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Unlimited PTO Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs Learning / Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Deepgram is building a new San Francisco presence centered around a purpose-built space for high-quality, in-person engagement with developers, customers, partners, and the broader voice AI community. This is not a traditional office. The SF space is designed primarily as an event-led environment: a place for hands-on labs, technical showcases, workshops, research talks, recruiting events, and curated gatherings. Our goal is to make Deepgram feel meaningfully present in SF through a repeatable cadence of experiences that are technically credible, thoughtfully hosted, and consistently well-executed. We’re hiring an Event Producer / Events Manager to be the operational backbone of that program. You will own the execution and day-to-day readiness of the venue, translating event concepts and goals (defined in partnership with DevRel, Product, Research, and Marketing) into seamless, high-quality events. This role is central to how Deepgram shows up in person — and ideal for someone who thrives on operational excellence, anticipates needs before they arise, and takes pride in making complex events feel effortless. Location: While Deepgram is remote-first, this role requires frequent on-site presence in our San Francisco office. Own the operational execution of Deepgram’s San Francisco event program, ensuring events are delivered reliably, professionally, and at a consistently high standard. Translate defined event goals, formats, and content direction into well-run, on-time experiences, including hackathons, technical workshops, research talks, recruiting events, and executive sessions. Serve as the day-to-day operator of the SF event space, ensuring the venue is consistently event-ready and can support multiple formats (presentations, labs, demos, showcases). Build and manage event timelines, run-of-show documents, and production plans that allow complex events to run smoothly and predictably. Coordinate all event logistics, including venue setup and teardown, AV and recording, catering, signage, speaker logistics, and attendee experience. Act as the single-threaded owner during execution, making real-time decisions on event days and handling contingencies calmly and effectively. Partner closely with Developer Relations, Engineering, Research, Product, and Marketing to operationalize event concepts, support technical programming, and ensure speakers and content are set up for success. Manage relationships with external vendors and production partners, balancing high production quality with disciplined spend. Create repeatable operational playbooks and processes so events can scale without reinventing logistics each time. Support a small number of flagship or executive-facing moments (e.g., summits, research previews, board-adjacent events) as needed. Run post-event operational retrospectives and incorporate learnings to continuously improve execution quality and reliability. Content Coordination and Readiness Event content at Deepgram is developed by our technical and product teams — including Developer Relations, Engineering, Research, Product, and invited external speakers. In this role, you will not be expected to author technical content, build demos, or create workshops yourself. Instead, you will be responsible for program-managing content readiness: coordinating with content owners to ensure speakers are confirmed, materials are scoped appropriately, timelines are clear, and content is ready to be delivered in a live setting. You will work with content owners to translate ideas into runnable events — helping ensure sessions are feasible, well-timed, and properly supported — while keeping execution and delivery on track. 7–10+ years of experience producing and operating live events, experiences, or programs, ideally in technology, startups, or adjacent ecosystems. Demonstrated success running complex, multi-stakeholder events end-to-end, including logistics, AV, vendors, speakers, and on-site execution. Experience working closely with technical teams, executives, or subject-matter experts to support credible, content-rich events (without necessarily owning content creation yourself). Comfortable operating in environments where events support broader outcomes (learning, relationships, momentum), while ownership of those outcomes lives with partner teams Strong project management and operational instincts; able to translate defined goals and event concepts into clear execution plans and reliably delivered outcomes. Confident, polished presence when hosting external audiences, partners, and senior leaders. Thrives in fast-moving, ambiguous environments where priorities evolve and execution quality matters. Prior experience supporting developer, research, or technical communities through events or programs. Familiarity with startup or high-growth company environments. Experience in developing educational or marketing content. A strong metrics or analytics focus and a desire to quantifiably tie events to business outcomes. Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Unlimited PTO Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs Learning / Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Location: Fully Remote Preferred Locations: Midwest-based; Indianapolis, IN or IL, Chicagoland Area preferred Who We Are We are K1X. Our platform powers a modern, all-digital K-1 experience by replacing legacy workflows with scalable software and AI-driven automation. As we expand our machine learning capabilities, we are investing in a robust ML platform that enables production-grade model development, deployment, and monitoring across our products. About your Role We’re seeking an experienced Machine Learning Operations (MLOps) Engineer to join our team and build the infrastructure that powers AI and machine learning at K1X. This is a hands-on role focused on designing scalable systems, pipelines, and tooling that enable our Machine Learning Engineers to efficiently train, deploy, and operate models in production. You’ll work at the intersection of software engineering, DevOps, and machine learning—owning the reliability, scalability, and performance of our ML platform. Your Responsibilities • Design and build scalable ML infrastructure to support model training, evaluation, and deployment., • Develop and maintain containerized environments using Docker and Kubernetes., • Build and manage distributed training pipelines and orchestration workflows., • Implement and maintain ML lifecycle tooling such as MLflow for experiment tracking and reproducibility., • Own production inference systems, including NVIDIA Triton Inference Server., • Design and operate low-latency, high-availability model serving architectures., • Implement CI/CD pipelines for ML deployment, versioning, and rollback strategies., • Build and maintain data pipelines integrated with Snowflake and related data systems., • Implement monitoring, logging, and alerting for model performance, drift detection, and system health., • Partner with ML Engineers to improve developer experience and accelerate delivery. Who You Are: • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience., • 5+ years of experience in software engineering, DevOps, or MLOps roles., • Strong proficiency in Python and experience building production-grade systems., • Hands-on experience with Docker, Kubernetes, and distributed systems., • Experience building and maintaining CI/CD pipelines., • Familiarity with ML lifecycle tools such as MLflow or similar., • Experience working with cloud-based data platforms such as Snowflake., • Strong understanding of system design, APIs, and microservices architectures., • Proven debugging and troubleshooting ability across distributed systems. It's Truly a Match If You Have: • Experience managing inference infrastructure such as NVIDIA Triton Inference Server., • Experience building large-scale training infrastructure including GPU workloads and distributed training., • Familiarity with feature stores, data versioning, and experiment tracking systems., • Experience supporting NLP or document processing pipelines., • Exposure to observability tools such as Prometheus, Grafana, or similar., • Experience working in SaaS environments with high availability, productivity, and performance requirements., • A strong bias toward automation, scalability, and continuous improvement., • A collaborative mindset and ability to work cross-functionally with engineering and data teams., • Unlimited Vacation Policy + Sick Time, • Fully Remote Opportunity, • Benefits/401K, • Growing Startup Culture, • Unlimited Vacation Policy + Sick Time + Holidays, • Paid Parental Leave, • Fully Remote Opportunity, • Healthcare Benefits and 401K, • Growing Startup Culture

At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications. Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota. An Account Executive at Weights & Biases is a quota carrying, enterprise software sales position responsible for meeting and exceeding goals through generating and closing new opportunities while increasing awareness of Weights & Biases in the marketplace. We are looking for motivated, focused, and coachable sales professionals with experience across the full spectrum of the software sales cycle – prospecting, defining and articulating value proposition, pilot process management, business case development, negotiation and closing. This role is location specific to San Francisco. \n Role and Responsibilities • Drive new business opportunities for selling Weights & Biases software and services engagements within assigned territory, • Develop and implement a sales strategy against assigned territory and/or targeted list of customers, • Develop a deep understanding of, and effectively articulate, the W&B offering and value proposition in the market, • Constantly focused on pipeline generation within the territory to ensure long term success, • Interact with and leverage the Channel and Alliance partner community to find new opportunities and drive existing deals to close, • Manage opportunities through the sales cycle from initial inquiry to forecasted pipeline to deal design and close, • Meet quarterly and annual revenue objectives for your territory, • Provide continuous updates on all active accounts and report on sales, activities, status and progress on a regular basis, • Maintain a high level of customer satisfaction and reference-ability, • Travel for client visits and presentations Requirements • Located in San Francisco is required, • Experience selling to developers is required, • 4+ years of progressive SaaS software sales experience to companies - 1-2 years as an SDR, 1 year selling Commercial/Mid-Market, 1 year selling Enterprise, • Track record of success in closing business, • Excellent negotiation, analytical, financial and organizational capabilities. Able to thrive in an evolving, entrepreneurial structure and environment, • Outstanding verbal and written communication skills, • Ability to work at both a tactical and strategic level, • Must possess a can-do, self-starter mentality in a highly collaborative atmosphere Our Benefits • 🏝️ Flexible time off, • 🩺 Medical, Dental, and Vision for employees and Family Coverage, • 🏠 Remote first culture with in-office flexibility in San Francisco, • 💵 Home office budget with a new high-powered laptop, • 🥇 Truly competitive salary and equity, • 🚼 12 weeks of Parental leave (U.S. specific), • 📈 401(k) (U.S. specific), • Supplemental benefits may be available depending on your location, • Explore benefits by _ \n$85,000 - $115,000 a yearThis position has an annual estimated salary of $85,000 - $115,000 per year. This position is eligible for additional variable compensation in the form of a bonus or commission component, which is dependent on personal or company performance. Weights & Biases is committed to providing competitive salary, equity and benefits packages for all full-time employees. The actual pay may vary depending on your skills, qualifications, experience, and work location. \n We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com. #LI-Remote

Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. About the Role At PlayStation, our Gaming, Developer & Future Technology (GDFT) Group is leading the cloud gaming revolution by putting console-quality video games on any device from TVs to consoles to mobile devices and beyond! Would you like to use your skills, time, and passion on meaningful projects that are building the future? We're looking for a Staff Software Engineer with a strong background in DPU software/firmware development, who loves designing and building innovative hardware and software, wants to make an impact, and enjoys working with creative, intelligent and collaborative teammates. If that sounds like you, come help us build world class technology capable of delivering fun and unique gaming experiences to millions of players! Responsibilities Design, develop, and maintain firmware for DPUs in high performance systems Implement and optimize peer-to-peer PCIe communication between DPUs and other bus devices, minimizing latency and host CPU involvement Manage network device queues across PCIe peers and handle doorbell interrupts to process them. Architect innovative solutions and drive alignment across teams and stakeholders. Collaborate across hardware, drivers, system software and network cross functional teams. Use hardware and software debugging tools to diagnose PCIe and DPU issues. Document key technical areas and share knowledge through technical presentations Required Qualifications BS in Computer Science / Software Engineering or 10+ years of relevant work experience 8+ years of combined experience in C/C++ Expert level proficiency developing software/firmware on Nvidia BlueField DPUs, or similar technologies Strong understanding of PCIe peer-to-peer communication, including memory-mapped I/O, queue management, and device-to-device signaling. Ability to debug, profile, and optimize firmware performance Working knowledge of networking protocols: TCP/IP, UDP and L2 layer protocols Proven track-record of solving ambiguous problems with minimal direction. Strong debugging / analysis / troubleshooting skills Preferred Qualifications Experience with P4 Experience with Open vSwitch/Sonic EVPN-VXLAN knowledge Network driver development experience on Linux or embedded OS or similar Experience with storage offload engines and computer networking domains A track record of technical leadership guiding teams without hard authority. Additional Skills Motivated self-starter. Experience with Rust. Enjoys working in a fast-paced, collaborative environment Knowledge of Japanese language and culture is a plus Please refer to our _ for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click _ to learn more. The estimated base pay range for this role is listed below. $161,100 - $241,700 USD Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications. Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota. Reporting to the Director of Enterprise Sales, The Account Manager is responsible for managing the renewal process of existing customer contracts within Weights & Biases. This role plays a critical part in ensuring customer satisfaction, retention, and revenue growth. You will act as a trusted advisor, leading multi-threaded, multi-channel expansions, using a consultative approach to be able to identify the key aspects of a business and discuss top down initiatives with VP and C-suite leaders. \n Responsibilities • Renewal Management:, • Proactively manage the renewal process for assigned customer accounts., • Collaborate with sales, customer success, and other relevant teams to identify renewal risks and opportunities., • Negotiate renewal terms and pricing to maximize contract value while maintaining strong customer relationships., • Customer Engagement:, • Build and maintain strong relationships with key stakeholders within customer organizations., • Understand customer needs, usage patterns, and business objectives to drive successful renewals., • Address customer inquiries and concerns in a timely and professional manner., • Forecasting and Reporting:, • Maintain accurate records of renewal activities and forecast renewal revenue., • Provide regular reports and updates on renewal performance and trends., • Process Improvement:, • Identify opportunities to streamline and optimize the renewal process., • Work with cross-functional teams to implement process improvements and best practices., • Upsell and Cross-sell:, • Identify upsell and cross-sell opportunities during the renewal process., • Collaborate with sales teams to pursue additional revenue opportunities within existing accounts. Requirements • Relevant experience in a similar role at a AI/ML, DevOps or Data product company., • Deep experience interacting or selling to ML Engineers or developers is required., • 3+ years of experience total in sales (SDR, AM), • Proven success with renewing and growing customer base., • Entrepreneurial mentality - self-starter with a strong desire to build processes., • Interest in working at a hyper-growth startup in a quickly innovating space., • Strong negotiation and closing skills. \n$77,000 - $105,000 a yearThis position has an annual estimated salary of $77,000 - $105,000 per year. This position is eligible for additional variable compensation in the form of a bonus or commission component, which is dependent on personal or company performance. Weights & Biases is committed to providing competitive salary, equity and benefits packages for all full-time employees. The actual pay may vary depending on your skills, qualifications, experience, and work location. \n We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com. #LI-Remote

At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications. Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota. An Account Executive at W&B is a quota carrying, enterprise software sales position responsible for meeting and exceeding goals through generating and closing new opportunities while increasing awareness of W&B in the marketplace. We are looking for motivated, focused, and coachable sales professionals with experience across the full spectrum of the software sales cycle – prospecting, defining and articulating value proposition, pilot process management, business case development, negotiation and closing. \n Role and Responsibilities • Drive new business opportunities for selling W&B software and services engagements within assigned territory, • Develop and implement a sales strategy against assigned territory and/or targeted list of customers, • Develop a deep understanding of, and effectively articulate, the W&B offering and value proposition in the market, • Constantly focused on pipeline generation within the territory to ensure long term success, • Interact with and leverage the Channel and Alliance partner community to find new opportunities and drive existing deals to close, • Manage opportunities through the sales cycle from initial inquiry to forecasted pipeline to deal design and close, • Meet quarterly and annual revenue objectives for your territory, • Provide continuous updates on all active accounts and report on sales, activities, status and progress on a regular basis, • Maintain a high level of customer satisfaction and reference-ability, • Travel for client visits and presentations Requirements • 5+ years of progressive SaaS software sales experience to companies, • Track record of success in closing business in large complex enterprise accounts, • Excellent negotiation, analytical, financial and organizational capabilities. Able to thrive in an evolving, entrepreneurial structure and environment, • Outstanding verbal and written communication skills, • Ability to work at both a tactical and strategic level, • Must possess a can-do, self-starter mentality in a highly collaborative atmosphere Our Benefits • 🏝️ Flexible time off, • 🩺 Medical, Dental, and Vision for employees and Family Coverage, • 🏠 Remote first culture with in-office flexibility in San Francisco, • 💵 Home office budget with a new high-powered laptop, • 🥇 Truly competitive salary and equity, • 🚼 12 weeks of Parental leave (U.S. specific), • 📈 401(k) (U.S. specific), • Supplemental benefits may be available depending on your location, • Explore benefits by _ \n$127,500 - $150,000 a yearThis position has an annual estimated salary of $127,500 - $150,000 per year. This position is eligible for additional variable compensation in the form of a bonus or commission component, which is dependent on personal or company performance. Weights & Biases is committed to providing competitive salary, equity and benefits packages for all full-time employees. The actual pay may vary depending on your skills, qualifications, experience, and work location. \n We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com. #LI-Remote

At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications. Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota. The Billing & Expansion team at Weights & Biases is dedicated to simplifying the process of evaluating, purchasing, and managing W&B subscriptions to drive revenue growth and customer satisfaction. This crucial team ensures our billing and licensing systems meet the needs of AI practitioners and our business. As a Senior Software Engineer, you will lead initiatives in pricing, licensing, and billing infrastructure, directly impacting how customers and internal teams engage with our products. \n What you’ll achieve (Responsibilities): • Design and maintain a scalable billing platform that supports Weights & Biases growth, integrating with billing vendors for optimal user experience., • Collaborate with Product, Data, Finance, and Go-To-Market (GTM) teams to develop features that meet business needs, optimize pricing, and drive customer expansion., • Mentor fellow engineers, sharing best practices and advocating for long-term architectural solutions., • Enhance data models and systems to ensure accurate, fair, and transparent billing processes., • Develop tools and integrations for internal teams to seamlessly use billing data for better decision-making and customer service. What we’re looking for (Requirements): • 5+ years of experience in software engineering., • Strong software engineering fundamentals and knowledge of at least 1 modern programming language (Python, Go, Typescript, etc)., • Proven ability to collaborate cross-functionally, especially with Product, Data, Finance, and GTM teams, to gather requirements and deliver impactful features., • Commitment to a customer-first mindset and an ability to balance long-term and short-term objectives, prioritizing what’s best for the customer and the company’s growth., • Experience in payment/metering systems is a plus., • 🏝️ Flexible time off, • 🩺 Medical, Dental, and Vision for employees and Family Coverage, • 🏠 Remote first culture with in-office flexibility in San Francisco, • 💵 Home office budget with a new high-powered laptop, • 🥇 Truly competitive salary and equity, • 🚼 12 weeks of Parental leave (U.S. specific), • 📈 401(k) (U.S. specific), • Supplemental benefits may be available depending on your location \n$177,000 - $245,000 a yearThis position has an annual estimated salary of $177,000 - $245,000 per year. Weights & Biases is committed to providing competitive salary, equity and benefits packages for all full-time employees. The actual pay may vary depending on your skills, qualifications, experience, and work location. \n We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com. #LI-Remote

Compa is a venture-backed SaaS startup revolutionizing the future of compensation. In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams. Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI. Our customers include the world’s biggest companies: Apple, NVIDIA, Tesla, Mastercard, T-Mobile, Sanofi, Moderna, Gilead Sciences, and more. Location: While Compa is a remote friendly company, for this role there is a preference for candidates located near one of our offices in Irvine, CA, Denver, CO or Boston, MA. At Compa, we’re building the future of enterprise compensation. Our platform helps the world’s largest companies make smarter, fairer, and more transparent pay decisions—powered by live data and thoughtful design. As a Software Engineer, you’ll have significant ownership and autonomy to build the systems and infrastructure that power Compa’s core products. You’ll work across the stack, collaborate closely with product and design, and contribute to features that directly impact enterprise customers. In this role, you will: Ship production-grade software across Compa’s web app and backend systems Build new features and improve existing workflows in collaboration with Product and Design Write clean, scalable code and contribute to system architecture decisions Participate in code reviews, team rituals, and roadmap discussions Solve real problems for enterprise compensation teams—from data pipelines to user experience 2+ years of experience shipping production software in a collaborative environment Strong proficiency in at least one modern web development language or framework Comfortable working across the stack or specializing in either frontend or backend Proven ability to work autonomously and follow through on commitments Pragmatic and thoughtful about trade-offs—focus on outcomes over tools Strong communication and collaboration skills Experience in early-stage or high-growth startup environments Familiarity with compensation, HR tech, or enterprise SaaS (not required) Experience working on data-driven products or complex user workflows Interest or experience in AI systems or ML infrastructure (a plus, not a requirement) Comfortable navigating ambiguity and working in fast-paced, iterative environments You don’t need experience with all of these, but familiarity with any is a plus: Backend: Django, Python Frontend: React, TypeScript, GraphQL Infrastructure: AWS Other Tools: vLLM, Linear, Slack, Notion, Metabase #BI-Remote

At _, we're building the fastest data flywheel for physical AI. We generate synthetic data and simulation scenarios that allow robotics and autonomous systems teams to train and test their AI in minutes instead of months. Our customers use Bifrost to land spacecraft on Mars, detect pirates across the Atlantic, and build AI systems that work reliably in the real world. Synthetic data and simulation platform for physical AI and robotics Backed by Carbide Ventures, Airbus Ventures, Peak XV Partners (fka Sequoia Capital), Wavemaker Partners, CapVista, Techstars, Lux Capital and others Used by NASA, Anduril, Honda, Mitsubishi, and frontier AI labs to build AI systems that work in the real world Work with an exceptional team to solve impactful problems Main Quest We’re hiring an early-career Account Executive who wants to become elite at selling deeply technical AI software. This is not a traditional AE role. You will operate like a hybrid of: Sales operator Technical translator Market mapper You’ll work directly with the CEO, engineering, and product teams to drive revenue in some of the most important and fastest-growing sectors in AI. That includes: Working with Founders & Core team to go from 10 to 100 customers Enhancing the existing winning playbook to drive new customer acquisition Driving trials, and trial conversions across the established ICP Helping the SDE team tweak their lead qualification process where needed Owning and driving revenue metrics Own full-cycle sales across target verticals (defence, maritime, robotics, autonomy, aerospace, etc) Identify, map, and break into high-value accounts (governments, primes, advanced startups) Run highly tailored outbound using modern AI sales and CRM tooling (Attio, Apollo, Clay, GPT agents, etc.) Conduct discovery with technical stakeholders (ML engineers, Perception teams, Program leads) Translate complex technical capabilities into clear business value Partner with PMs and Solutions Engineers to land pilots, PoCs, and deployments Work closely with leadership on deal strategy, pricing, and positioning Continuously refine messaging based on market feedback 1–4 years of experience in B2B sales, GTM, or technical customer-facing roles Experience selling or working with technical products (AI/ML, developer tools, robotics, SaaS, infra, etc.) Strong ability to learn and explain technical concepts Evidence of high agency — you’ve built systems, not just followed playbooks Comfortable working in ambiguity, early-stage environments, and founder-led sales motions Excellent communication skills — especially with technical buyers Demonstrated ability to prospect creatively and persistently Strong interest in AI, robotics, autonomy, defence, or physical systems Familiarity with modern GTM stack Experience running outbound campaigns or building pipeline from scratch Exposure to PoCs, pilots, or technical sales cycles Strong writing ability (cold emails, proposals, narratives) What We Offer Competitive compensation Comprehensive benefits package (healthcare, PTO, etc.). Opportunity to work directly with the founding team from Nvidia, Google, and Lucasfilms and grow quickly A collaborative, supportive environment with plenty of room to explore new skills. Great memes

We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Role Summary Help define and deliver Lambda’s next-generation Identity and Access Management platform - powering secure, intuitive, and scalable access control for customers ranging from early-stage startups to the most superintelligent AI teams in the world. You’ll design IAM systems that anticipate the needs of highly technical users who will stress-test every workflow, integration, and permission model. Your charter will be to lead the design and implementation of our IAM vision: Workspaces, enterprise-grade RBAC, MFA enhancements, and a unified identity platform across all Lambda products and services. What You’ll Do Design and build intuitive, beautiful web interfaces for ML/AI cloud users Integrate top-tier tooling, workflows, and models from the AI space Own features end-to-end—from design to deployment to monitoring You (Must-Haves) 8+ years of backend or platform engineering experience, with 3+ years leading IAM or authentication/authorization initiatives. Deep expertise in modern IAM patterns and technologies: Authentication (OIDC, OAuth2, SAML) Authorization (RBAC, ABAC, fine-grained permissions) MFA and advanced authentication factors SCIM and identity lifecycle management Experience integrating and customizing third-party identity platforms (e.g., Auth0, Okta, WorkOS) at scale. Strong architecture and systems design skills for distributed, multi-tenant SaaS environments. Proven track record of delivering IAM features in security-sensitive, high-uptime environments. Solid programming experience in Python, Go, or similar languages, plus comfort with IaC (Terraform, Atlantis, Crossplane). Nice-to-Haves Experience designing IAM systems for ML/AI or cloud infrastructure products. Hands-on experience with enterprise onboarding flows. Prior work on multi-cloud or hybrid identity solutions (AWS, GCP, Azure). Contributions to IAM standards or open-source identity projects. Leadership or mentorship experience Strong academic background (EECS, Math, Software Engineering, Physics) Salary Range The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. Final Note You don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills. About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our _ have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Utilidata is a fast-growing NVIDIA-backed edge AI company enabling greater visibility and control of power utilization in energy-intensive infrastructure, like the electric grid and data centers. Karman, the company’s distributed AI platform powered by a custom NVIDIA module, is transforming the way utility companies operate the grid edge and will enable data centers to unlock more compute for the same provisioned power. We are seeking a DevOps Engineer to help design, build, and operate Utilidata’s off-device platform that ingests, processes, and serves data flowing from edge AI devices. The role will build and maintain infrastructure across on-premises and cloud environments - bridging edge deployments with cloud-based data processing to support analytics, operations, and ML workloads at scale. This is a hands-on development role with technical leadership responsibilities and with company wide impact. This engineer will architect and maintain the systems that keep our platform running, set technical direction for infrastructure and deployment practices, and mentor engineers. This engineer will partner closely with on device, and ML teams to ensure our off-device platform is resilient, well-instrumented, and ready to scale. This is a remote position based in the United States, working with distributed teams across the country. Responsibilities • Oversee the deployment and management of containerized applications using Kubernetes, ensuring optimal performance and availability, • Contribute to strategic planning regarding how the infrastructure solutions evolve to match the requirements of Data Center partners, • Lead the design, implementation, and maintenance of scalable and reliable systems on AWS and/or on-premise, • Utilize Terraform for infrastructure as code to automate the provisioning and management of cloud resources, • Monitor system performance and uptime, ensuring systems meet established service level objectives (SLOs), • Support SOC2 security compliance requirements for data handling, • Mentor and guide team members in DevOps practices, promoting a culture of reliability and excellence, • Advocate for automation of operational tasks to enhance efficiency and reduce manual intervention, • Collaborate with cross-functional teams to build and maintain CI/CD pipelines, • Troubleshoot and resolve complex production issues, conducting root cause analysis and implementing corrective actions, • Participate in on-call rotations and incident response teams, • Assist in capacity planning, performance tuning, and technical decision-making, • Drive continuous improvement initiatives for processes and infrastructureMinimum Qualifications, • 8+ years of development experience including extensive experience in platform engineering, SRE, or distributed systems, with clear senior or principal-level impact, • Experience designing and operating infrastructure across on-premises and cloud environments, • Strong proficiency in container orchestration, particularly Kubernetes, • Strong proficiency with AWS services and architecture, • Hands-on experience with Terraform for infrastructure automation, • Familiarity with monitoring tools (Prometheus, Grafana, or similar) and observability best practices, • Excellent problem-solving skills, leadership abilities, and attention to detail, • Strong communication and collaboration skills, with experience in driving technical outcomes, • Willingness to travel up to 20% of timeEnhanced Qualifications (Nice to Have), • Bachelor's degree in Computer Science, Engineering, or a related field, • Experience supporting or enabling MLOps platforms, model deployment pipelines, or ML-adjacent infrastructure, • AI Workload scheduling using Kubernetes, • Knowledge of Apache Spark for large-scale data processing, • Knowledge of database technologies (SQL, NoSQL), • Understanding of networking concepts and security best practicesSalary Range: $180,000 to $210,000 base compensation depending on experience and stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands. Location: This position can be performed remotely from anywhere in the United States. Our Commitments: Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws. We are committed to: • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful, • Empowering employees to solve problems and work together to make a difference, • Providing mentorship and growth opportunities as part of a collaborative team, • A flexible work environment with flexible paid time off, • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

About IonQ: IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum company delivering solutions to solve the world’s most complex problems. IonQ’s newest generation quantum computers, IonQ Tempo and IonQ Forte Enterprise, are the latest in cutting-edge systems that have been helping customers and partners such as Amazon Web Services, AstraZeneca, and NVIDIA achieve 20x performance results. The company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance in 2025. The company is accelerating its technology roadmap and intends to deliver the world’s most powerful quantum computers with 2 million qubits by 2030 to accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. IonQ’s advancements in quantum networking position the company as a leader in building the quantum internet. We are seeking an experienced Staff Product Manager to own a part of the computing engine at the heart of IonQ's quantum platform. This role spans the full lifecycle of quantum computation: from how circuits are compiled and optimized, orchestrating and scheduling complex workloads, and connecting them to our growing fleet of quantum processors deployed in cloud regions, national laboratories, and enterprise data centers worldwide. IonQ's computing platform is at a critical inflection point, rapidly expanding as we scale. We’re rewriting, refactoring, or building whole new services up and down our stack to support our growing needs. Existing systems and datastores are being unified and matured, prepared for hybrid deployments into cloud + on-premise systems, and we’re integrating with new kinds of IT environments with rigorous requirements and complex needs. Every part of this space is a foundational, load-bearing system—and needs a strong product leader to guide their growth. This is going to be a significant challenge both in scope and in skill. Your work will span compiler interface contracts to fleet operations systems and everything in-between. You’re comfortable with ambiguous inputs, you aren’t intimidated by things you haven’t studied before, and you’re looking for a steep challenge. If you think this all sounds thrilling and not daunting: this role will be deeply rewarding. Responsibilities: • Build a deep, technical understanding of IonQ's platform systems from job submission APIs to the backend infrastructure that puts those instructions on to the QPUs themselves., • Own the product vision and roadmap for a portion of our computing platform layer—things like our compilation services, simulators, workflow orchestrators, and more., • Define interface contracts and service boundaries during a period of active architectural change, making smart choices about which systems to build to stand the test of time, and which can be throwaway., • Partner with engineering teams up and down the stack to scope, sequence, ship, and maintain foundational platform capabilities., • Help us grow our hybrid deployment roadmap, working across regional cloud deployments, on-premise edge appliances, and integrated HPC facilities, ensuring our products works as well inside a national laboratory as it does in a hyperscale cloud., • Navigate a complex competitive and standards landscape, emerging interoperability standards, and nascent partner integration patterns to inform strategic positioning and technical decisions. You’d be a good fit with: • 7+ years of product management experience, with at least 3 years leading infrastructure, platform, or developer tools products where the customer is an engineer or technical operator., • A demonstrated technical acumen: comfortable and fluent in architecture discussions, systems design, and negotiating service boundaries and interface contracts with engineering teams., • Experience working on foundational platform systems—the kind that other teams build on top of—where getting the abstraction right the first time is a critical concern., • A track record as a self-starting operator who builds their own context, identifies the highest-leverage problems, and drives outcomes without waiting for direction. You’d be a great fit with: • Experience with HPC, scientific computing, or job scheduling environments (Slurm, PBS, or similar), • Experience with hybrid cloud and on-premise deployment models, including the operational realities of running software in a customer's data center, • Experience with compilers, build systems, or developer toolchains, • Experience with fleet management, service registries, or distributed infrastructure control planes, • An understanding of hardware-software interfaces and the product challenges of abstracting over evolving hardware generations, • A strong bias for action and a comfort level with defining product direction in spaces where the technology and market are being invented simultaneously Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US Travel: None Job ID: 1425 The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, and equity. Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. IonQ's HQ is located in College Park, Maryland, just outside of Washington DC. We are actively building out our recently opened manufacturing and production facility in Bothell, WA (near Seattle). Depending on the position, you may be required to be near one of our offices in College Park, Seattle, Toronto, Canada, and Basel, Switzerland. However, IonQ will expand into additional domestic and international geographies, so don’t let this stop you from applying! At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!

Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health. Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale. Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems. World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes. For more information, visit _. We are seeking a Customer Success Executive with health systems experience to join our team. You will ensure that our clients achieve measurable outcomes through Hippocratic AI’s innovative solutions. You will have the opportunity to partner and report to the Chief Medical Officer. This role will sit remotely in the New York, NY area and serve local and surrounding clients as needed. It will be required to travel onsite to the client's location regularly. Build and maintain strong relationships with healthcare staff and operational leaders, acting as a trusted resource. Lead product implementations, focusing on aligning solutions with nursing workflows and operational processes. Train nursing teams and other healthcare staff on the effective use of Hippocratic AI solutions, ensuring adoption and success. Identify opportunities to improve workflows and patient care outcomes using AI tools, particularly in bedside care and nursing operations. Manage day-to-day client relationships, ensuring seamless communication and addressing operational concerns. Collaborate with internal teams (product, sales, and engineering) to address client feedback and improve user experiences. Establish metrics to measure success, including patient care outcomes, team adoption rates, and operational efficiencies. Travel extensively to healthcare facilities for onsite support and training, and participate in strategic in-office sessions in Palo Alto. Collaborate with the nursing leadership team to share best practices from AI implementation and be comfortable presenting at conferences/webinars on the impact of AI in Nursing. Must-Have: A minimum of 5 years of health systems experience. Proven experience in customer success, account management, or project management. Ability to build relationships across an organization, from front-line staff to executives. Strong understanding of the healthcare industry, specifically clinical workflows and regulatory requirements. Experience working with cross-functional teams in a fast-paced startup environment. Strong background in project management. Nice-to-Have: Experience with AI or technology adoption in healthcare. Advanced knowledge of healthcare workflows and compliance standards. Active Registered Nurse (RN) license from an accredited university. *Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @_ email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, Databricks, NVIDIA, Confluent, and Anthropic. You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees also have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we’ve raised over $128M from leading investors including NEA, Andreessen Horowitz, General Catalyst, Elad Gil, and Workday Ventures. We’re also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, and Snowflake, as investors who have experienced the pain we're solving firsthand. The Solution Engineering team at Metronome is a technical group that sits at the intersection of sales, growth, product, and R&D. In simple terms, we own the technical side of the customer lifecycle all the way from the very first discovery call through demos, POCs, technical scoping, and handover to our post-sales groups. We own the technical win for enterprise deals, from first discovery through technical close and handoff. As a member of the Solution Engineering team, you’ll primarily be focused on bringing on new enterprise customers. • Using proficient discovery to understand what challenges our prospects face in billing, launching new products, pricing & packaging, quote-to-cash, customer experience, and related areas., • Telling a clear value story about how and where Metronome solves those challenges and creates opportunities., • Planning, building, and running customized demos of Metronome for buyers with many different personas (engineering, product management, operations, finance, etc)., • Building relationships with people at our prospect organizations, from day-to-day operators to C-Suite executives. We believe in meeting our customers in-person whenever possible., • Designing integrations of Metronome into prospect systems and consultatively influencing the direction of our prospects’ pricing and packaging., • Running tight Proofs of Concept with clearly-defined success criteria that get us to the technical win., • Ensuring a proper handoff to our post-sales Professional Services, Solutions Architecture, and Growth counterparts. …all of this with prospects at the scale of our most strategic current customers (like Confluent, Databricks, OpenAI, and Anthropic). Expect these engagements to be complex, deep, technical, and most of all interesting. Metronome directly influences how the internet monetizes - AI is an obvious current example - and our group is on the front lines driving this influence with our prospects. Metronome is a startup. As such, there’s a lot still to figure out and tremendous room for high-agency people to impact our direction and strategy, build processes from zero to one, and generally make a difference. If this excites you as much as it excites us, let’s talk. • 5+ years of experience working in technical and/or customer-facing roles involving SaaS products (for example, roles like solution engineering, solutions architecture, technical account management)., • Experience running complex sales cycles with enterprise tech companies., • Experience in fast-moving startup environments that value high agency., • Ability to quickly learn and communicate technical concepts to technical, go-to-market, and finance stakeholders., • Excitement for building and improving GTM playbooks and processes. We care more about demonstrated impact and learning velocity than checking every box. • Deep knowledge of the quote-to-cash space, including integrating with or otherwise interacting with tools like Salesforce, NetSuite, CPQs, etc., • Experience as a software engineer, product manager, or in other technical roles., • Experience in a pure sales role, particularly selling to technical buyers in engineering and product organizations or selling as a founding or early salesperson at a startup., • Experience with logs, metrics, billing, finance, or other infrastructure or financial tooling and concepts. The estimated salary range for this role is $150,000 - $250,000 OTE. In addition to your salary, Metronome offers a competitive total rewards package, including but not limited to market-benched equity, incentive pay, comprehensive health benefits, and other benefits listed below. The actual base salary will vary based on factors including market value, individual qualifications objectively assessed during the interview process, and previous experience. The listed range above should serve as a guideline and may be modified at any time. We believe that compensation reflects the expected impact you will have at the company, relative to the market value of your role. We also conduct an annual pay audit to ensure pay is fair, indexed to market value, and that pay takes into account continued performance at Metronome. If you would like to learn more about our philosophy or about why we are all billing nerds, send us a message. We’d love to talk! for Full-time employees: • Excellent medical, dental, vision, and life insurance coverage, including a One Medical membership, • Paid parental leave, • FSA (Flexible spending account), • Retirement planning - Traditional and ROTH 401(k), • Flexible time off, • Employee assistance program (mental health benefits), • Culture where personal growth is highly valued We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job Description Unit8, founded in 2017, is a high-tech, dynamic Swiss leader in AI and data analytics consulting, renowned for solving complex challenges in traditional industries such as automotive, chemical, financial services, manufacturing, and pharma. Our esteemed partnerships with industry giants like Palantir, NVIDIA, and OpenAI underscore our commitment to excellence. With over 200 successful projects and a team of 150+ talented professionals across Switzerland, Poland, and Germany, we are now expanding our footprint to the USA. Unit8 is dedicated to driving AI adoption in non-digital industries, accelerating their digital transformation. We invest in projects that matter, including pro-bono initiatives and "engineering for good" causes. Requirements About You Following our remarkable growth in Switzerland, Poland, and Germany, Unit8 is expanding into the US market. We are seeking a Senior Forward Deployed Engineer who will work directly with customers, owning delivery strategy and implementation. What You'll do As a core member of our agile project teams, you will be responsible for designing, building, and maintaining robust data solutions and infrastructure. You will work on cutting-edge data and AI topics to solve real-world business problems for our clients. Your responsibilities will include: • Developing, deploying, and troubleshooting complex data pipelines and processing systems using a variety of open-source and closed-source technologies, with a strong focus on Foundry., • Driving optimization, testing, and tooling to ensure exceptional data quality., • Collaborating with other software engineers, ML experts, and stakeholders in a cross-functional agile environment., • Working in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives. What You Bring The Experience • Deep Domain Expertise: Minimum 5 years of experience in software/data engineering or data science. You have deep expertise in at least one key domain (Data Engineering, Data Science, Cloud Engineering, or GenAI)., • Commercial Fluency: proven experience in pre-sales, proposal design, or technical advisory where you influenced executive decision-making., • GenAI/LLM Context: For relevant tracks, you have past experience building solutions with LLMs and a deep understanding of the overall GenAI landscape (Evaluation, Training, Problem Decomposition). The Mindset • You have an engineering mindset focused on delivering working solutions. You prioritize solving real business problems over theoretical perfection or academic benchmarks., • You are comfortable working in a dynamic environment with evolving objectives. You can collaborate efficiently with both technical engineers and non-technical business stakeholders., • You feel a sense of ownership over the company’s technical reputation and are eager to train those coming up behind you. The Essentials • Experience with programming/scripting, such as Python and/or SQL., • Proficiency in Palantir Foundry (nice-to-have), • Strong foundation in Computer Science, Mathematics, Physics, or related engineering fields., • Willingness to travel (min. 10%) to client sites to drive implementation success and build relationships., • Strong client-facing skills: You are comfortable interacting with both business and technical clients, giving presentations, and possess a strong problem-solving mindset. Benefits What we offer? • High-Stakes Work: You will work on critical projects that transform how major industries operate., • A "Builder" Culture: We are not a slide-deck consultancy. We build things that work. You will be surrounded by engineers and data scientists who share your passion for execution., • Pioneering role and autonomy: As a key member of our US growth, you will have the freedom to shape how we deliver value in this new market., • Groundbreaking Opportunity: You will play a pivotal role in establishing Unit8's footprint in the USA, driving the growth and impact of our operations in this emerging market., • Rewarding Package: The estimated base salary range for this position is $120,000 – $150,000. In addition to base pay, total compensation includes an annual bonus based on individual and company performance. We also offer a 401(k) retirement plan and comprehensive health insurance. Final compensation will be determined based on the candidate’s qualifications, experience, and skills. Unit8 is committed to creating a diverse and inclusive workplace where all individuals are valued and respected. We believe that diversity drives innovation and enhances our ability to serve our clients effectively. As an equal opportunity employer, we welcome applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. We are dedicated to fostering an environment where everyone can thrive and contribute to our mission. We look forward to hearing from you!

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About this Role: Crusoe Cloud is seeking a high-energy, detail-oriented Senior Network Deployment Engineer to lead the physical and logical implementation of our global network. As we rapidly expand our footprint of high-performance compute (HPC) and GPU-based AI infrastructure, you will be the primary driver behind bringing new data centers and edge sites online. This is a technical, hands-on role that sits at the intersection of Network Engineering, Data Center Operations, and Project Management. You aren't just following a runbook; you are refining the deployment standards for the world’s most innovative AI cloud. You will ensure that every switch, router, and fiber optic link is deployed to spec, validated, and seamlessly handed off to our Operations team. What You’ll Be Working On: Execute Global Build-outs: Lead the end-to-end deployment of network infrastructure in new and existing data centers, from initial rack/stack oversight to final hand-off. Bridge Design and Reality: Take high-level designs from the Network Development team and translate them into site-specific implementation plans, cable maps, and configuration templates. Validate and Commission: Perform rigorous "Burn-in" testing and site acceptance testing (SAT) for new network clusters, ensuring zero-defect handovers to the Operations team. Optimize Deployment Automation: Use Python, Ansible, and ZTP (Zero Touch Provisioning) to automate the staging and configuration of hundreds of network devices simultaneously. Manage On-site Partners: Coordinate with remote hands, structured cabling vendors, and data center providers to ensure physical layer standards (fiber paths, power requirements, and cooling) meet Crusoe’s stringent HPC requirements. Inventory and Capacity Management: Track global hardware assets and lead the "Turn-up" of new backbone capacity and edge interconnects. What You’ll Bring to the Team: 8+ years of experience in network engineering with a heavy focus on large-scale data center deployments and infrastructure projects. Mastery of Physical Layer Standards: Expert knowledge of structured cabling (SMF/MMF, MPO/MTP), optical transceivers (400G/800G), and data center power/cooling requirements. Strong Routing and Switching Knowledge: Hands-on experience configuring Arista (EOS), Juniper (Junos), and NVIDIA/Mellanox platforms in a leaf-spine architecture. Protocol Proficiency: Solid understanding of BGP, EVPN-VXLAN, and LLDP as they relate to large-scale fabric provisioning. Automation-First Mindset: Proficiency in Python and Ansible for automating repetitive deployment tasks and validating configuration state. Logistical Excellence: Proven ability to manage multiple complex projects simultaneously across different time zones and physical locations. Troubleshooting Expertise: Ability to diagnose complex physical layer and link-layer issues using OTDRs, light meters, and packet captures. Education: Bachelor’s degree in a technical field or equivalent practical experience in hyperscale or ISP environments. Benefits: Competitive compensation Restricted Stock Units Paid time off & paid holidays Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Compensation Range: Compensation will be paid in the range of $146,000 to $177,000 plus Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Unit8, founded in 2017, is a high-tech, dynamic Swiss leader in AI and data analytics consulting, renowned for solving complex challenges in traditional industries such as automotive, chemical, financial services, manufacturing, and pharma. Our esteemed partnerships with industry giants like Palantir, NVIDIA, and OpenAI underscore our commitment to excellence. With over 200 successful projects and a team of 150+ talented professionals across Switzerland, Poland, and Germany, we are now expanding our footprint to the USA. Unit8 is dedicated to driving AI adoption in non-digital industries, accelerating their digital transformation. We invest in projects that matter, including pro-bono initiatives and "engineering for good" causes. Requirements About You We are looking for an experienced Deployment Strategist with deep technical and operational expertise in Palantir Foundry to join our US team. In this role, you will operate at the intersection of strategy, data engineering, and product ownership. You are not just implementing software; you are re-architecting how our clients make decisions. You will enter complex environments where data is siloed and workflows are broken, and you will be the primary catalyst for turning that chaos into a structured, value-generating engine. You will act as the translator between business intent and technical execution. You will get your hands dirty in the Ontology and pipelines while simultaneously guiding C-level stakeholders through their digital transformation journey. What You'll do Drive Value with Foundry • Lead the end-to-end implementation of data-centric solutions using Palantir Foundry. You will architect Ontologies, design pipelines, and build user-facing applications (Workshop/Slate) that solve tangible business problems., • Move beyond simple dashboards; build operational applications that allow users to write back to the system and close the feedback loop. Navigate Ambiguity • Embed yourself within client teams to identify the "unknown unknowns." You will deconstruct high-level business goals into concrete technical roadmaps., • Take ownership of open-ended problems in unstructured environments. You define what "good" looks like when the client isn't sure yet. Bridge the Gap • Collaborate with Unit8 Data Scientists and Engineers to ensure the backend logic supports the frontend reality., • Act as a trusted advisor to the client, challenging assumptions and ensuring that the technology we build is actually adopted by the end-users on the ground. Expand & Mentor • Help shape Unit8’s US presence by contributing to business development, scoping new engagements, and demonstrating the power of Foundry to prospective clients., • Mentor junior team members on best practices regarding data governance, system architecture, and client management. What You Bring The Experience • Foundry Mastery: You have significant, hands-on experience delivering projects within Palantir Foundry. You are comfortable with the Ontology, Code Repositories, Pipeline Builder, and application building tools (Workshop/Slate)., • Consulting & Strategy: 3+ years of experience in technical consulting, solution architecture, or a similar operational role where you owned the delivery of data products., • Track Record: You can point to specific examples where you took a vague business problem and turned it into a deployed software solution that generated value. The Mindset • First-Principles Thinker: You don't just follow the process; you question it. You drill down to the root cause of a problem rather than patching symptoms., • Grit and Humility: You are willing to do whatever it takes to make the project succeed, whether that’s presenting a roadmap to a VP or debugging a failed build late at night. The outcome matters more to you than the title., • User-Obsessed: You understand that the best code is useless if no one uses it. You prioritize user experience and workflow integration over technical complexity. The Essentials • Proficiency in Palantir Foundry & AIP, • Experience with programming/scripting, such as Python and/or SQL., • Understanding of distributed computing concepts (Spark) and modern data stack architectures., • Willingness to travel to client sites across the US as needed to drive implementation success. Benefits What we offer? • High-Stakes Work: You will work on critical projects that transform how major industries operate., • A "Builder" Culture: We are not a slide-deck consultancy. We build things that work. You will be surrounded by engineers and data scientists who share your passion for execution., • Pioneering role and autonomy: As a key member of our US growth, you will have the freedom to shape how we deliver value in this new market., • Groundbreaking Opportunity: You will play a pivotal role in establishing Unit8's footprint in the USA, driving the growth and impact of our operations in this emerging market., • Rewarding Package: The estimated base salary range for this position is $100,000 – $130,000. In addition to base pay, total compensation includes an annual bonus based on individual and company performance. We also offer a 401(k) retirement plan and comprehensive health insurance. Final compensation will be determined based on the candidate’s qualifications, experience, and skills. Unit8 is committed to creating a diverse and inclusive workplace where all individuals are valued and respected. We believe that diversity drives innovation and enhances our ability to serve our clients effectively. As an equal opportunity employer, we welcome applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. We are dedicated to fostering an environment where everyone can thrive and contribute to our mission. We look forward to hearing from you!

Job Description At Prime Robotics, we’re building the future of warehouse automation through tightly integrated robotics, software, and intelligent infrastructure. Our systems support pallet retrieval, case picking, each picking, and rack automation in active, high-throughput warehouse environments. We are now advancing our platform toward the next generation of AI-driven robotics, combining autonomous systems, perception, simulation, and scalable software to create smarter, more adaptive warehouse operations. Position We are seeking a Senior Robotics Engineer to help architect and develop the next generation of Prime Robotics’ autonomous systems. This is a hands-on engineering role focused on building production-grade robotics software and integrating advanced robotics technologies that drive state of the art perception, navigation, and distributed systems. You will work across software, hardware, and field deployment challenges to deliver intelligent, scalable, and reliable robotic solutions for real-world warehouse environments. Please note that this role is on-site and this individual will split their time between our lab in Downtown Denver and our Corporate HQ in Lakewood, CO. What You’ll Do • Architect and develop robotics software in ROS/ROS2 for autonomous mobile robots, from motion and perception through orchestration and fleet behavior., • Build and optimize systems involving SLAM navigation, sensor fusion, path & motion planning, and multi-robot coordination., • Lead development in advancing our robotics capabilities to include AI and machine learning for safety and throughput optimizations, • Troubleshoot complex field and lab issues across hardware/software boundaries, driving root cause analysis and long-term fixes., • Collaborate with cross-functional teams in the US and China to improve robotic system performance, reliability, and maintainability., • Support customer implementations, deployment readiness, and technical validation efforts that shape future product direction and sustain high value customer requirements. Requirements Required Skills & Experience • 8+ years of experience in robotics, autonomous systems, or related fields, with a proven track record of shipping real products., • Strong expertise in C++ and Python, with experience building performance-critical, production-quality systems., • Deep understanding of ROS/ROS2, real-time robotics systems, SLAM, navigation, path planning, and control., • Experience with perception systems, sensor integration, computer vision, and AI/ML-enabled robotics workflows., • Strong Linux and Docker experience, with familiarity in distributed systems, embedded systems, or edge compute environments., • Hands-on experience debugging and integrating robotic hardware, software, and field-deployed systems., • Bachelor’s degree in Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, or related field; advanced degree preferred. Bonus Qualifications • Experience with NVIDIA Jetson, Isaac SDK, Isaac Sim, Omniverse, CUDA, or GPU-accelerated robotics workloads., • Experience with Java/Spring Boot programming and development., • Background in warehouse automation, AMRs, material handling, or industrial robotics., • Experience with gRPC, Protobuf, or distributed messaging frameworks., • Familiarity with robot hardware such as mobility bases, arms, grippers, safety systems, and embedded electronics., • Experience working across international engineering teams and influencing technical direction without direct authority. What We’re Looking For • A strong systems thinker who can balance architecture, performance, and practical execution., • A hands-on engineer who can move fluidly between design, coding, debugging, and deployment support., • Someone who values clean, scalable software but stays grounded in real robot behavior and operational constraints., • A problem solver who takes ownership, drives clarity, and pushes through ambiguity., • An engineer who is excited about advancing warehouse robotics with AI, autonomy, and robust software foundations. The expected minimum base salary for this role is $150,000 annually, informed by external market data. Actual offers will depend on factors such as the candidate’s experience, education, training, key or critical skills, and current market and business conditions. Benefits • Employer-subsidized medical, dental, and vision insurance plans to support your health and wellbeing., • Dedicated vacation and sick leave that allows you to recharge and take care of yourself when needed., • Invaluable hands-on experience with cutting-edge robotics technology that keeps your skills at the industry forefront., • A collaborative culture where innovation thrives, and your work has a real impact., • The excitement of contributing to transformative technology in a fast-growing industry. Our hiring process may incorporate AI-assisted tools to support activities such as application review, resume screening, and response evaluation. These tools are used to assist our recruitment team and do not make hiring decisions independently. All final decisions are made by a human reviewer. For questions about how your personal data is handled during this process, please don't hesitate to reach out to us. Prime Robotics is proud to be an EEOE, M/F/D/V, and we are committed to diversity both in practice and spirit at the corporate level. Prime Robotics participates in E-Verify. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm employment eligibility.

Job Description Company overview: Let's be real, AI isn't magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world's most critical challenges. Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don't replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use. With world-class collaborators like Nvidia, HPE, and Oracle, we're building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises. We're looking for bold thinkers and doers to join us in shaping the future of AI that's secure, grounded, and built to work. Job Description: Please note: This role can be based out of the following locations - Washington, D.C., Fayetteville, NC, Austin, TX, or Denver, CO As a Senior Account Executive, you will leverage your deep understanding of Department of War (DOW) operations and your proven sales expertise to drive Legion's growth. You'll serve as a trusted partner to customers, helping them adopt and implement agentic AI solutions that advance their missions. This role is ideal for a motivated, mission-driven professional who thrives on building relationships, developing new accounts, and closing new business—particularly within the U.S. Air Force, with opportunities to expand into additional defense segments. Key Responsibilities: • Lead the full sales cycle within the DOW, driving new business and revenue growth., • Develop and execute strategic account plans aligned with mission priorities, operational needs, funding cycles, and contracting mechanisms., • Translate Legion's technologies into clear, compelling value propositions tailored to DOW requirements., • Secure Legion's participation in DOW experiments, exercises, and pilot programs., • Partner with defense prime contractors to pursue and capture larger DOW opportunities., • Create and maintain sales playbooks focused on DOW use cases, procurement processes, and security requirements., • Maintain accurate, up-to-date Salesforce data and deliver reliable forecasts for your territory., • Take a leadership role in expanding Legion's DOW footprint while maintaining close engagement with key accounts. Qualifications: • 7+ years of software sales experience within the federal government or national security sector, with a strong track record of driving adoption of emerging technologies and exceeding revenue targets. Prior military or civilian government service may be considered in lieu of sales experience., • Deep understanding of DOW missions, operational challenges, and technology needs., • Demonstrated experience navigating complex DOW acquisition and procurement processes., • Proficiency in territory planning, forecasting, and CRM management (Salesforce preferred)., • Proven ability to price, quote, negotiate, and close complex transactions., • Excellent relationship-building skills and ability to collaborate across multiple stakeholder groups., • AI/ML Literacy, • Exceptional written, verbal, and interpersonal communication skills., • Active Secret security clearance required., • U.S. citizenship required., • Location: National Capital Region or Tampa, Florida, • Willingness to travel 25–50%. Nice to have: • Established relationships within Program Executive Offices (PEOs), Major Defense Acquisition Programs (MDAPs), prime contractors, and other DOW stakeholder organizations., • Proven record of successfully capturing and expanding DOW business., • Hands-on experience with AI/ML applications or software development., • Prior military experience., • Active Top Secret clearance with SCI eligibility. If you are a highly motivated and adaptable individual who is excited about the challenge of building something from the ground up and pounding the pavement, we encourage you to apply. Join us in revolutionizing the AI landscape with Legion and be a key driver of our success. Compensation Information$270,000—$360,000 USD

This role involves delivering essential security features for Data Center systems, engaging with teams to drive implementations, and innovating security solutions.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+). On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues. Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools. Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing. Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery. Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures. Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience. Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments. Version Control: Proficiency with Git for code management and collaboration. Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments. Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana). Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP). Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations. HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN). Bonus Points: Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator. Cloud Expertise: Deep understanding of specific cloud platforms and services. Automation Skills: Experience with automation tools and scripting languages. Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions. Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues. Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: Competitive compensation Restricted Stock Units Paid time off & paid holidays Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Compensation: Compensation will be paid between $125,000 and $151,000 + Bonus. Restricted Stock Units are included in all offers. Salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Understanding of the CUDA programming model and NVIDIA GPUs. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer.