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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/

About Legion 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 Palantir, 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. Role Responsibilities • Advocate For Customers: Act as the voice of the customer within the organization, advocating for customer needs and requirements to the product team., • Manage Customer Requirements: Serve as project manager for any new feature development for the user as well as for deploying the Legion platform for a given customer., • Be a Legion Expert: Develop hands-on technical knowledge of Legion’s product and feature capabilities so that you can ensure our customers are using Legion in the way that’s best for their team., • Lead Customer Onboarding: Train customers on how to use the platform, including training administrative users and champions on how to enable their team members’ success., • Demonstrate Value: Work with customers to understand what really matters to them and their leadership and demonstrate the way that Legion meets that need qualitatively and quantitatively., • Build High-Quality Relationships: Develop relationships with multiple levels of customer stakeholders - everyone from end users, to security engineers to CISOs., • Ensure Renewals: Work closely with the sales teams to identify the best path to renew and expand customers while minimizing churn risks., • Provide Feedback: Proactively gather customer feedback and insights through surveys, interviews, and data analysis, and relay this information to our engineering team., • Manage Issues: Collaborate with engineering to ensure timely resolution to customer issues and maintain consistent communication with our customers. Required Qualifications • SECRET or TS/SCI Security Clearance., • Significant experience as a CSM or AM working with the government. Our team is lean and requires someone who is able to thrive in the federal space without significant guidance., • Willingness to travel. You will need to be onsite with our customers frequently. Most of them will be on the East Coast., • Experience with a technical product. You’ll need to have worked with a highly-technical product in the past. Legion is a Generative AI product and the technology itself is highly complex. While our users can be anyone at an enterprise, the decision-makers involved in bringing Legion to their company (e.g., CTOs, CIOs) are often quite technical and you will need to be able to comfortably communicate with them. Exceptional communication skills. You represent Legion to the customer, and you represent the customer to Legion. Effectively communicating in both directions is paramount and critical to the success of both the customer and Legion. • Proven ability to collaborate. You can work effectively with cross-functional teams, including sales, product, and/or engineering to articulate customer needs and develop new platform capabilities to meet them., • Understanding of AI technologies. You understand machine learning concepts and their applications in real-world scenarios and can communicate them to customers of varying levels of technical backgrounds. Preferred Qualifications • Experience working at a startup. Legion is early-stage and that means there’s a lot of things that aren’t figured out yet. You’ll need to be comfortable with operating in that kind of environment., • Technical background. You have some experience building tools for project management (e.g., using Excel, SQL, Python, etc.) or developing your own applications for this or other purposes. Benefits • Healthcare (medical, vision, and dental insurance) with generous employer contribution (90% for employees and 75% for dependents), • HSA/FSA, • Flexible PTO. Take time as you need it - plus Christmas Eve through New Year's Day is a company-wide shutdown to relax and get ready for the new year., • Stock Options, • Remote work, with a home office stipend to set up your workspace, • Paid Parental Leave (12 weeks). Legion also provides an additional 4 weeks (16 weeks total) for birthing parents., • Bereavement leave (2 weeks) for miscarriages or the loss of a loved one, • 401k (no matching as of yet), • In-person gatherings Location + Travel This is a remote position, but it will require consistent travel - primarily on the Eastern seaboard. Being located in or near Tampa is Ideal Equal Opportunity Statement Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Compensation Information $150,000 - $230,000 USD

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 PA and serve local and out-of-state 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 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.

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.

Company Description Avrio AI is an enterprise-grade autonomous hiring platform. We are not an ATS. We are not a job board. We are AI infrastructure for hiring — purpose-built to match, interview, and score candidates at scale, with full auditability. Our customers include Randstad and the New York MTA. We have active partnerships with NVIDIA, AWS, and Microsoft Azure, and we are a silver member of the Agentic AI Foundation (Linux Foundation). Role Description We're hiring a VP of Operations at Avrio AI. This is not a chief of staff role. This is not a process documentation role. This is not an office manager with a big title. Avrio is at an inflection point — enterprise customers across the EU and US, a job seeker product launching imminently, active partnerships with NVIDIA, AWS, and Microsoft Azure, and a significant fundraise ahead. The VP of Operations will own the infrastructure that makes all of it work. The role spans three areas: — Financial strategy: financial planning, modeling, fundraising readiness, AI economics, and compute cost management across AWS, Azure, and NVIDIA infrastructure — Revenue and GTM operations: RevOps stack, pipeline visibility, forecasting, co-sell tracking with NVIDIA, AWS, and Microsoft — Internal operations: company operating cadence, OKRs, vendor management, legal coordination, and compliance across US and EU This role reports directly to the CEO. Boston, New York, or San Francisco preferred. If you want to build the operating and financial engine behind one of the most ambitious AI companies in hiring, reach out or apply below. Qualifications • Financial strategy and modeling — budgets, forecasts, unit economics, board-level narratives, • Fundraising and investor relations experience — has been in the room, not just adjacent to it, • AI economics fluency — understands compute costs, token economics, inference margin, and how they affect a scaling AI business, • RevOps and GTM systems ownership — CRM, pipeline, forecasting, partner co-sell tracking, • Cross-functional operational leadership across distributed, international teams, • Experience in a PE, VC-backed, or high-growth environment, • Based in or willing to relocate to Boston, New York, or San Francisco

Product Director | AI-Industrial Scale-up | £50M Series B The Opportunity We are partnering with a pioneering, AI-first industrial company that is "building hardware from the atoms up." This isn't just another software play; this is an industrial renaissance. By uniting AI-automated hardware engineering with AI-designed material science, they are developing the critical infrastructure required to make AI data centers more performant and sustainable. Following a successful Series B funding round backed by NVIDIA and led by a founder from Google, the company is in a hyper-growth phase, currently tracking for 9 figure revenue in 2026. The Role As the Product Leader for the Chip cooling portfolio, you will take full end-to-end ownership of a product line central to the future of modern infrastructure. Sitting at the intersection of deep engineering and customer insight, you will define the roadmap, manage the P&L alongside the C-suite, and translate complex data center needs into precise technical requirements. Key Responsibilities • Strategic Ownership: Lead the product strategy and roadmap for the entire Direct-to-Chip offering., • Commercial Impact: Manage revenue, budgets, and growth targets in direct partnership with the C-suite., • Technical Translation: Act as the "Voice of the Customer," converting market trends into technical specs for thermal performance, coolant chemistry, and rack integration., • Sales Enablement: Serve as the primary technical expert for high-stakes RFPs and customer proposals., • Cross-functional Leadership: Drive integrated teams across AI research, mechanical engineering, and manufacturing to deliver products that meet rigorous global safety and compliance standards. Who You Are • Seasoned Expert: 10+ years of experience in hardware product development within a relevant domain (e.g., thermal management, data center infrastructure, or complex industrial hardware)., • High Agency: You thrive in the ambiguity of a rapid-growth environment and can navigate technological shifts with ease., • Collaborator: Exceptional at stakeholder management, influencing both internal engineering teams and external partners., • Technically Grounded: Familiar with manufacturing readiness (NPI), supplier management, and validation processes for complex physical systems. Why Join? • Equity: Significant equity package—own a piece of a company redefining industrial engineering., • Mission: Work on the frontline of sustainability and AI performance., • Culture: Vertically integrated, brilliant teams that value a "love of physical technology" and a curiosity for AI., • Perks: Comprehensive health/dental/vision, flexible PTO, and regular company offsites.

AI Engineer – Vision-Language Models (NVIDIA Technologies) About TowardsChange TowardsChange is a tech company with 50+ employees across 4 countries, specialising in designing, building, and deploying AI solutions for organisations. We are proudly recognised as one of the best NVIDIA European partners and a Microsoft Tier 1 partner. With 150+ clients worldwide, we combine global reach and deep technical expertise to deliver high-impact solutions. We’re now hiring an AI Engineer to support advanced projects in Vision-Language Models and NVIDIA-accelerated AI. About the Role As part of our AI practice, you will design, train, and optimize multimodal AI systems combining computer vision and natural language understanding, leveraging NVIDIA GPUs and state-of-the-art deep learning frameworks. Key responsibilities: • AI Model Development: Design, fine-tune, and evaluate Vision-Language Models (CLIP, BLIP, LLaVA, Kosmos, Gemini-style)., • GPU Acceleration & Optimization: Implement training and inference pipelines optimized for NVIDIA platforms (CUDA, TensorRT, NeMo, DGX)., • AI Agent Integration: Develop and deploy AI agents using internal or external inference APIs., • Data & Evaluation: Build multimodal datasets, lead benchmarking, and drive continuous performance improvements., • Research & Innovation: Stay ahead of emerging trends in Generative AI, multimodal learning, and agentic architectures., • Collaboration: Work closely with data scientists, engineers, and product managers. Your Profile • Master’s degree (or PhD) in Machine Learning, AI, Computer Vision, or related field., • 3–6+ years of professional experience in AI R&D or applied deep learning., • Strong proficiency in Python, PyTorch, and modern AI toolkits (Transformers, Diffusers, Hugging Face)., • Hands-on experience with NVIDIA technologies (CUDA, TensorRT, NeMo) and GPU training pipelines., • Experience deploying AI agents using inference APIs., • Fluent in English., • Curious, rigorous, and entrepreneurial — comfortable in a fast-paced innovation environment. What We Offer • Work in a high-impact environment at the intersection of consulting, R&D, and advanced AI development., • Access to state-of-the-art NVIDIA infrastructure (DGX, TensorRT, NeMo)., • Opportunity to lead Vision-Language and Generative AI projects., • Collaboration with international teams and experts., • Hybrid work model in central Paris with strong growth potential.

Python Backend Software Engineer – Startup - San Francisco A Python Backend Software Engineer is required by a startup whose platform makes it easier for developers to work with multiple AI models through a single, consistent interface. The company is used by major organisations including Netflix, NASA, Adobe, and NVIDIA, and is generating more than $10M ARR while remaining meaningfully profitable. They are looking for a Backend Engineer with 2 - 5 years of experience to own company’s critical guardrails and observability tooling. They need an engineer, ideally from a high-growth startup, who is excited to build for massive scale and is comfortable talking directly with developers at their largest enterprise customers like Nvidia, Adobe and NASA. Requirements • Strong Computer Science or other STEM degree from a top university, • 1 - 5 years of experience in backend software engineering in Python or Rust., • Experience with backend frameworks (e.g., FastAPI, Flask). Familiar with database integration (PostgreSQL, Redis)., • Experience at a high-growth software startup., • Experience with observability and monitoring tools. What you'll do: • Build and scale company’s core product, ensuring world-class performance and reliability for 1B+ monthly requests., • Own the backend code for guardrails and logging, ensuring all calls are traceable and errors are surfaced correctly., • Enhance our observability stack (Datadog, Splunk, Prometheus) to handle high-volume traffic with minimal latency., • Develop in Python and/or Rust to build and design CPU-level guardrails against common attacks., • Engage directly with developers at large enterprise customers several times a week to solve their challenges. Tech stack Python, Rust, FastAPI, Flask, Datadog, Splunk, Prometheus, OpenTelemetry, PostgreSQL, Redis Join an exciting company with many opportunities to progress your career. Send your CV for immediately review and further details

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. 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.

Senior Backend Engineer - Billing.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, ent

📍 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.

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.

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

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/

📍 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!

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!

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

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.

📍 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.

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.

About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “_,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. We're building a search platform that helps scientists find answers across billions of data points from chemical structures and assay results to unstructured lab documents and instrument data. We're looking for a Lead/Principal Platform Engineer to lead that effort. You'll own the full search stack: indexing and scoring, query understanding and rewriting, retrieval pipelines, and the infrastructure underneath it all. You should be able to fluently apply the state-of-the-art in classical search, custom analyzers, index design alongside newer methods for semantic and hybrid retrieval. You'll go well beyond out-of-the-box OpenSearch to build custom ranking logic, relevance tuning, and scoring models that surface the right result from massive, heterogeneous scientific datasets. This is a hands-on technical leadership role. As the technical leader of the Search Platform team, you'll write code, architect systems, mentor engineers, and shape the roadmap for search capabilities and platform evolution. You'll often operate in ambiguous territory translating loosely defined scientific workflows into well-architected search systems where the "right answer" isn't always obvious and requirements evolve as scientists discover new ways to use the platform. You'll collaborate daily with Applied AI Scientists, platform engineers, and product teams to deliver high-performance search services that drive discovery, analysis, and decision-making across the bio-pharma R&D lifecycle. The domain is bio-pharma R&D, and the data types are fascinating molecular structures (SMILES), experimental datasets, knowledge graphs linking compounds to targets and assays. You don't need to know cheminformatics today, but you should be excited to apply deep search expertise to novel and complex data types. If you've spent your career building scalable search systems and want to do it at the intersection of AI and scientific discovery, we'd love to talk. • Architect a full-stack Search Platform across all layers of indexing and scoring, query understanding, rewriting and federation, and extensible search experiences., • Continuously improve search quality through evaluation metrics such as precision@K, recall@K, MRR, and relevance testing with real scientific use cases., • Engineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval. You will go beyond out-of-the-box OpenSearch to design custom ranking logic, reciprocal rank fusion, and relevance tuning that surfaces the exact "needle in the haystack" for drug discovery., • Lead by example and write code, review designs, and set the standard for engineering quality on the Search Platform team. Mentor engineers and help grow the team's search and distributed systems expertise., • Contribute to architectural decisions, technical strategy, and platform-wide improvements to accelerate scientific insight generation., • Own and operate the Search Platform infrastructure, ensuring high availability, scalability, performance, and observability across indexing, embedding generation, and query execution., • Develop and maintain backend services and APIs in Python and TypeScript that power search capabilities for scientists, data engineers, and AI applications., • Ensure security, compliance, and tenant isolation as part of operating search services in enterprise bio-pharma environments., • Collaborate with Applied AI Scientists to integrate embeddings, transformer models, and chemical fingerprints into production search workflows., • Architect and implement scientific entity resolution and knowledge graph pipelines to transform raw text into interconnected knowledge. You will design systems that extract and link chemical and biological entities (NER/NED) from unstructured documents, enabling the search engine to "understand" relationships between compounds, targets, and assays., • 10+ years of backend or platform engineering experience building distributed, production grade systems., • Hands-on experience with search technologies such as Elasticsearch/OpenSearch, Lucene, or vector databases not just deployment, but custom configuration, relevance tuning, and performance optimization at scale., • Strong understanding of semantic and hybrid retrieval: embeddings, transformer models, vector similarity, ranking logic, relevance tuning, and how to blend them with classical keyword search., • Expert-level coding skills in TypeScript and Python building robust APIs and backend services., • Proven ability to build and operate search infrastructure on cloud platforms (AWS preferred), including containerization, CI/CD, observability, and capacity planning., • Familiarity with scientific or unstructured data processing, such as documents, tables, analytical results, or experimental datasets., • Excellent communication and collaboration skills comfortable working alongside scientists, AI researchers, and product teams., • Exposure to NLP, LLMs, embedding generation, or retrieval-augmented workflows., • Experience with vector databases / embeddings stores (e.g., OpenSearch) to support semantic search and RAG., • Strong problem solving skills, while being Comfortable navigating ambiguity translating loosely defined scientific workflows and user needs into well-engineered search systems., • Contributions to open-source search projects (Apache Lucene, Solr, OpenSearch, or similar) or active involvement in the search engineering community., • Experience with cheminformatics tools and libraries (e.g., RDKit), including molecular fingerprints, similarity metrics, or substructure search., • Prior experience implementing chemical search systems, such as SMILES parsing, normalization, or chemical indexing., • Experience with entity resolution, knowledge graphs, or NLP pipelines that enrich search corpora., • Experience with large-scale data platforms such as Databricks, Lakehouse architectures, or distributed indexing systems., • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Flexible working arrangements - Remote work, • Company paid Life Insurance, LTD/STD, • A culture of continuous improvement where you can grow your career and get coaching, • We are not currently providing visa sponsorship for this position.

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.

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.

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

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.

Job DescriptionMember of Technical Staff, Applied Research — Sieve Location: San Francisco, CA (Onsite) Compensation: $150,000 – $350,000 base + 0.05% – 0.4% equity Visa Sponsorship: H-1B, O-1, OPT supported Experience Level: 2+ years Employment Type: Full-Time Headcount: 4 open seats About Sieve Sieve is the only AI research company exclusively focused on video data infrastructure and video intelligence. Their thesis: high-quality video training data is the key bottleneck limiting progress in video AI, robotics, AR/VR, generative media, and agentic systems. Sieve is building the infrastructure and datasets to solve that bottleneck. • Exabyte-scale video infrastructure, • Proprietary video understanding systems and internet-scale data processing, • Partners with top frontier AI labs and Fortune 100 enterprise customers, • Series A raised from Matrix Partners, Swift Ventures, Y Combinator, and AI Grant, • Team of approximately 12 Video represents 80% of internet traffic — and Sieve is building the foundational layer to advance video AI at scale. About the Role This is a deeply technical applied research engineering role sitting between research and production engineering. The focus is building scalable video understanding infrastructure and applied AI systems — not pure academic research. Core ownership includes: • High-performance video understanding building blocks, • Large-scale video processing pipelines, • Computer vision, audio processing, and text processing workflows, • Applied model optimization and pre/post-processing optimization, • Parallelized inference systems and pipeline orchestration, • Inference performance optimization and selective model fine-tuning, • Customer-driven problem decomposition, • End-to-end applied AI product deliveryRequirements, • 2+ years of computer vision or audio processing experience, • Strong Python engineering background, • Hands-on PyTorch or similar ML framework expertise, • Clean, maintainable production code, • Strong communication with customers and external stakeholders, • Passion for video and media technologies, • Product mindset — not research-only, • Ability to break customer problems into technical building blocks, • Willingness to work onsite in San FranciscoNice to Have, • Open source contributions or strong GitHub / portfolio projects, • Startup early-hire experience, • Applied research independence, • Video AI domain expertise, • Robotics experience, • High-performance inference optimization and pipeline architectureTarget Backgrounds Strong signals include backgrounds from Meta, NVIDIA, OpenAI, Google DeepMind, Google, Waymo, Intrinsic, and David AI, with direct computer vision experience, robotics exposure, and applied performance engineering depth. Ideal Candidate Archetypes • Applied computer vision engineers, • Video AI specialists, • Robotics perception engineers, • Audio AI engineers, • Research engineers who ship production systems, • Startup technical builders with optimization depthThis Role Is NOT For, • Candidates with less than 2 years of relevant experience, • Profiles without independent research or technical ownership, • Those without a top-tier technical background, • Candidates with weak video or computer vision relevanceBenefits, • Competitive compensation and equity participation, • Health insurance, • Free lunch and dinnerInterview Process, • Application review, • Initial screen, • Technical chat with CTO, • Technical interview, • CEO conversation, • Onsite, • OfferLogistics, • Role is fully onsite in San Francisco — please only apply if you can commit to this, • H-1B, O-1, and OPT visa sponsorship available Shortlisted candidates will be contacted by David Joseph & Co., the recruiting partner managing this search on behalf of Sieve.

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.

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

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 DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for a DevOps / Systems Engineer to own the infrastructure that powers Collate’s products. You’ll build the systems and tooling that keep our platform reliable, secure, and fast as we scale. This role is broad by design — from managing CI/CD pipelines and cloud infrastructure to handling light security responsibilities like certificate management. You’ll partner closely with backend, AI, and product engineers to ensure our systems are both easy to develop on and safe to deploy at scale. At Collate, infrastructure isn’t just about uptime — it’s about trust. The work you do will help ensure that the AI we build for healthcare runs with reliability and security in mind.What You’ll Do • Design and maintain cloud infrastructure to support Collate’s products as we grow from prototypes to production scale., • Develop CI/CD pipelines and automation that accelerate developer velocity and reduce operational friction., • Manage core system reliability, including monitoring, logging, and incident response., • Take on light security responsibilities, such as handling certificates, secrets management, and supporting compliance needs., • Collaborate closely with engineering teams to design infrastructure that balances speed, safety, and scale., • Continuously improve internal tooling and workflows, helping the team move faster with confidence., • Leverage tooling including AWS, Terraform, Kubernetes, Helm, ArgoCD, Grafana, and Github Actions.What We’re Looking For, • Hands-on experience with cloud infrastructure (AWS, GCP, or similar) and modern DevOps practices., • Proficiency with infrastructure-as-code and CI/CD tooling., • Familiarity with monitoring, observability, and incident management., • Interest or experience in light security work, including certificates, secrets management, or compliance support., • A pragmatic approach: able to balance iteration speed with building for long-term reliability., • Motivation to work in an early-stage startup where your infrastructure decisions shape the foundation of the company.Why Join Collate? Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes. Ownership: Shape both our product experience and our engineering culture from the start. Learning: Collaborate with a uniquely interdisciplinary team—AI researchers, healthcare leaders, and experienced startup builders. Upside: Join a company early enough to have meaningful equity and career-defining impact. The base salary range for this role is $150,000–$300,000 USD annually, depending on experience and level (Tier 1, San Francisco) We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America’s food supply by building the AI farmer that automates our nation’s farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before. What We Do: We start by building AI-powered camera systems that collect the most valuable data for farmers, telling them everything about what is growing on their millions of trees, vines, and plants, across thousands of acres of farmland. Our state-of-the-art AI analyzes every one of the billions of fruit across a farm. We provide accurate yield estimates, fruit counts, size projections, disease detection, inventories, bloom maps, and more! All this data lives in our cloud platform, FruitScope OS, that we've developed from the ground up to enable farmers to manage their crop with precision. Today, our technology is trusted by some of the largest farms in the nation. We are growing fast, and have the industry-leading product. Farmers use our software every day to make critical decisions and run more efficient, profitable operations. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. In addition, all of this happens fast, on compute running on the edge, in complex, real-world environments where our systems are subject to all sorts of conditions. We are looking for a Robotics Software Engineer to invent creative, practical, and robust solutions to real-world computer vision problems relating to perception and localization. About the role: Full-time, in-person role at our San Francisco or Seattle office As an early employee, you'll receive generous equity compensation Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium We move fast, and sometimes this means staying late or working weekends Our team is close-knit & highly driven, you’ll work directly with our CEO and entire team We’re deeply motivated by the impact we’re making – every line of code written or new system built means less food that goes to waste, and more people who are fed. What you’ll do: Develop robotics software that runs on our tractor-mounted, AI-powered camera systems, including advanced perception & localization algorithms. Implement intelligent systems and processes to interpret complex, real-world data (each system collects terabytes of raw image data every day). Fuse sensor data (stereo depth, GNSS, etc) to localize our camera system in a farm. Optimize code for fast edge computing performance (Python, C++). Be a generalist, supporting different parts of our software and hardware stack if needed. What makes you a good fit: Hands-on experience developing robotics software from the ground up. 2+ years of real-world industry experience in robotics, perception, or localization. Expertise in one or more of the following areas: computer vision, stereo depth perception, pose estimation, object detection, multi-object tracking, image processing, robotics software. Enthusiasm for taking on multiple roles and responsibilities as our company grows. You like fast-paced environments where you have high ownership over your work. Bonus Points: Experience deploying & optimizing robotics algorithms to run fast on embedded compute like NVIDIA Jetson. Familiarity with fusing data from GNSS, IMU, depth, and other sensors. If you're looking to help make a real, positive impact in the world by building the future of farming, come join us! Compensation Range: $130K - $190K

Job DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for a Full-Stack Engineer (Backend-leaning) to design and build the systems and user-facing features that power Collate. You’ll spend most of your time on backend challenges—APIs, services, and infrastructure—but you’ll also ship end-to-end features. This is an opportunity to help define our technical foundation, collaborate directly with design and product, and shape how our users experience Collate from day one. Modern Tech Stack Collate uses a modern tech stack, targeting a highly reliable and available platform. We use Go for scalable backend services, TypeScript & React for frontend development, and Python for AI & ML services. Our infrastructure is hosted on AWS with Kubernetes for orchestration and Terraform + Argo CD for configuration management. Key systems include S3, PostgreSQL, Kafka, OpenSearch, LLMs, and other AI models.What You’ll Do • Design and scale backend services, APIs, and data pipelines that power Collate’s products., • Deliver end-to-end, production-ready features in partnership with product, design, and AI engineering., • Balance iteration speed with technical rigor to ensure systems scale reliably., • Create internal tools and workflows that accelerate engineering productivity., • Share responsibility for production systems, including participating in on-call rotation.What We’re Looking For, • Have experience building across the stack, with deeper strength in backend systems., • Enjoy taking features from idea → backend architecture → polished UI., • Care deeply about both technical robustness and the end user experience., • Are motivated by ambiguity, eager to pick up missing knowledge, and excited to solve novel problems., • Value speed, pragmatism, and scrappiness but know when to design for robustness., • Have been an early-stage engineer or startup founder—or aspire to work at that level of ownership.Why Join Collate? Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes. Ownership: Shape both our product experience and our engineering culture from the start. Learning: Collaborate with a uniquely interdisciplinary team—AI researchers, healthcare leaders, and experienced startup builders. Upside: Join a company early enough to have meaningful equity and career-defining impact. The base salary range for this role is $150,000–$350,000 USD annually, depending on experience and level (Tier 1, San Francisco) We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description JOB DESCRIPTION: Velia Multiservices is partnering with a fast-growing startup to find an exceptional Security Engineer ready to build and own security from the ground up. This is not a traditional security role. This is a chance to become the first dedicated security hire at a company trusted by high-profile enterprise customers including Nvidia, NASA, and Adobe. We're looking for someone deeply technical, highly proactive, and excited by the challenge of securing systems in a high-growth, high-ownership environment. If you love offensive thinking, moving fast, and solving complex security problems before they become incidents — this role was built for you. What You'll Own Conduct deep-dive security reviews across a large Python codebase to identify vulnerabilities and harden systems Build and maintain automated security scanning across Docker images, PyPI packages, and CI/CD pipelines Design secure cloud and self-hosted deployment configurations Lead incident response efforts including vulnerability remediation, root-cause analysis, and post-mortems Run internal red-team exercises and adversarial testing to strengthen defenses against real-world threats Establish and scale the company's security foundation as the organization grows Tech Stack Python Docker SBOM Snyk Grype Trivy CI/CD Security What We're Looking For 2+ years of hands-on security engineering experience Strong understanding of application security, infrastructure security, and vulnerability management Experience securing modern development pipelines and containerized environments Ability to operate independently and thrive in fast-moving startup environments Someone who takes ownership, moves with urgency, and enjoys solving difficult problems Comfortable working at an intense, high-performance pace (~60 hours/week) Degree in CS or a related technical field. Why This Role Stands Out You won't be joining a large security department. You'll be building the security culture, systems, and strategy from day one alongside an elite engineering team. Your work will directly protect mission-critical infrastructure and globally recognized customers. Broad, hands-on experience across multiple security domains (e.g. codebase audits, dependency scanning, CI/CD hardening, secure cloud configuration, intrusion detection, incident response, red teaming, threat modeling, secure coding training)

Job DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for an AI Research Scientist to push the boundaries of how advanced AI can be applied in healthcare. You’ll explore new modeling approaches, design novel architectures, and prototype capabilities that don’t exist yet — always with an eye toward how they can be translated into safe, reliable, and impactful products. This is not a pure research role. At Collate, research is directly tied to deployment. You’ll work side by side with engineers, product, and Life science experts to ensure that breakthroughs in the lab become real solutions in the world.What You’ll Do • What You’ll DoExplore new LLM prompt optimization, robustness of LLM applications and modeling approaches in machine learning, NLP, and reasoning., • Prototype and validate AI capabilities that expand Collate’s product roadmap., • Collaborate with engineering, product, and design to bring research into production., • Develop evaluation frameworks to measure safety, reliability, and fairness., • Share findings with the broader AI community through publications and open collaboration., • Help shape the long-term research agenda at Collate.What We’re Looking For, • Strong background in machine learning, NLP, or related fields, with publications or equivalent experience., • Ability to balance theoretical complexity and simplicity of maintaining and improving real world AI applications in life science., • Experience troubleshooting NLP performance gaps and improving applications using online and offline evaluation., • Experience in translation is an added bonus, • Hands-on experience building and experimenting with deep learning models (e.g., PyTorch, JAX, TensorFlow)., • Ability to bridge theory and practice — from new research ideas to real-world deployments., • Curiosity-driven, with a track record of pushing beyond the obvious to uncover new possibilities., • Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply., • Excitement to work in an early-stage environment where you help define not just the research, but the product and company direction.Why Join Collate? Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes. Ownership: Shape both our product experience and our engineering culture from the start. Learning: Collaborate with a uniquely interdisciplinary team—AI researchers, healthcare leaders, and experienced startup builders. Upside: Join a company early enough to have meaningful equity and career-defining impact. The base salary range for this role is $150,000–$350,000 USD annually, depending on experience and level (Tier 1, San Francisco) We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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: We are seeking a Principal Software Engineer - Software Defined Networking to lead the development and execution of our Software Defined Networking strategy. This role will be instrumental in driving innovation and performance improvements within our network infrastructure by leveraging cutting-edge technologies like XDP/EBPF, DPDK, SmartNICs, and DPU/IPUs. What You’ll Be Working On: Develop and execute the roadmap for the Software Defined Networking strategy at Crusoe Cloud. Guide the engineering team through architecture decisions, design processes, design reviews, code reviews, and implementation tasks. Collaborate with the network infrastructure organization to develop industry-leading networking infrastructure. Lead Linux Kernel and driver development, system architecture design, production support, and cross-functional collaboration. What You’ll Bring to the Team: 10+ years of related experience building and operating at scale in a production environment. Proven experience in system programming with C, C++ and/or Rust. Extensive knowledge of Linux Systems Internals and computer architecture. Expertise in Network Programming and Packet Processing pipelines. Hands-on experience with kernel bypass technologies such as XDP/EBPF, AF_XDP, and DPDK. In-depth understanding of TCP/IP and network accelerators like Mellanox/Nvidia SmartNIC (ConnectX6/7), DPU Bluefield3, and Intel IPU. Familiarity with SR-IOV, vDPA, and scalable functions. Strong background in kernel or embedded development, particularly with the Linux kernel. Experience with Open vSwitch, Openflow, and Open Virtual Networking. Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Demonstrated track record of contributions to the open source community (e.g., Open vSwitch/OVS, Open Virtual Networking/OVN, Multus, Cilium). Bonus Points: Advanced degree in Computer Science, Engineering, or a related field. Proven leadership experience in a technical role. Experience with cloud networking platforms (AWS, Azure, GCP) and virtualization technologies (VMware, KVM). Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $238,000 - $298,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s knowledge, education, 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 DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for an Enterprise Implementation leader to join our team and help build the foundation for how we onboard and support customers. From the moment a deal closes, you’ll own the customer journey — designing onboarding experiences, configuring solutions, and ensuring our product drives immediate value. You’ll work side-by-side with customers to understand their workflows, translate needs into product setups, and guide them through successful adoption. Collate is a fully in-person company based in San Francisco.What You’ll Do • Lead Full-Cycle Implementations - Drive implementations from kickoff to go‑live, including scoping, requirement gathering, configuration, testing, training, and deployment., • Customer & Stakeholder Management - Serve as the primary liaison for clients, understanding complex scientific and regulatory workflows and ensuring their successful lift‑off., • Cross-Functional Collaboration - Work hand‑in‑hand with Product, Engineering, and Ops teams to define deliverables, manage scope, address technical challenges, and adapt solutions for regulated environments., • Project Planning & Execution - Develop and manage detailed project plans, maintain schedules, track milestones, manage risks and issue escalation to ensure punctual, high‑quality delivery., • Product Feedback & Process Improvement - Capture customer insights to inform product enhancements; contribute to refining internal implementation methodologies, templates, and tools to scale operations efficiently.What We’re Looking For, • 4+ years of client-facing implementation experiences - Successfully led enterprise software or platform deployments, preferably within life sciences, biotech, or other highly regulated industries., • Project Management - Proven ability to lead complex, multi-stakeholder projects from kickoff through delivery. Skilled in planning, scheduling, risk management, and keeping cross-functional teams aligned., • Thorough and Detail-Oriented - Known for a meticulous approach to requirements gathering, solution design, and execution. Able to anticipate gaps, catch inconsistencies, and ensure deliverables standards., • Communication & Collaboration - Excellent written and verbal communication skills, with the ability to translate technical and scientific concepts for diverse audiences. Builds strong relationships with clients and internal teams. Bonus Points, • Work experience in pharma, biotech, or med device, • Prior experience at a startup — able to wear multiple hats, thrive in ambiguity, and build structure in fast-paced, high-growth environments.Why Join Collate? Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes. Ownership: Shape both our product experience and our engineering culture from the start. Learning: Collaborate with a uniquely interdisciplinary team—AI researchers, healthcare leaders, and experienced startup builders. Upside: Join a company early enough to have meaningful equity and career-defining impact. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Lumafield: Founded in 2019, Lumafield has developed the world's first accessible X-Ray CT scanner for engineers. Our easy-to-use scanner and cloud-based software give engineers the ability to see their work clearly, inside and out, at an extremely affordable price. Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We are an impact driven company obsessed with providing the best value to our customers keeping their needs at the center of our evolution. Our team today includes world-class researchers and industrial designers, PhDs, creators, founders of successful startups, and zero egos. We are backed by top venture capital funds like Kleiner Perkins, Lux Capital, DCVC, Spark Capital, and others. The company is headquartered in Cambridge, MA and has an office in San Francisco, CA. About the role: As a Senior Systems Software Engineer at Lumafield, you will work on the software that powers our next-generation, manufacturing in-line CT scanning products. You'll work on the bleeding edge of X-ray physics, high-speed detectors, image processing, and embedded systems. On a small team working on our newest hardware, you'll bring the skill to extract the highest quality data out of the system and achieve great outcomes for our customers. This role is ideal for candidates who are looking for an opportunity to scale a fleet of embedded devices from hundreds of units to thousands, and introduce production-grade capability to our systems. This role is located in Lumafield’s San Francisco, CA office. You may be required to travel occasionally to Lumafield’s Cambridge, MA office.What You'll Do: Write performance edge application software to acquire, process, and stream radiograph data Write appliance firmware to maintain tight control loops for scanner peripherals Participate in code reviews, build up testing infrastructure, and help set a high standard for how the team can move fast and maintain high levels of quality. Ship production critical Linux-based applications Architect data acquisition solutions that balance configurability and customizability Collaborate closely with our product, research, hardware, and software development teams to understand requirements and architect solutions About You: • 3+ years of experience writing low-level, high-performance software in Python and C; you not only write code, but also understand the performance impact on a specific system. Experience shipping applications with embedded Linux, including configuring core services such as udev, systemd, and kernel schedulers. 3+ years of startup experience – you know the trade-offs between shipping fast and perfecting a design. Hands-on experience integrating new hardware platforms by using vendor SDKs and manuals to write performant, maintainable driver integrations Mastery of software engineering fundamentals including debuggers, profilers, and evaluating trade-offs between different technology choices, and proficiency with Python’s built-in concurrency models (asyncio, threading, and multiprocessing) Able to design, integrate, and test systems by interpreting component and product datasheets. Bachelor's degree in Engineering or related field Bonus Points For: Experience building & shipping high performance hardware-accelerated image processing edge solutions using NVIDIA CUDA and/or Jetson platform Experience with classical computer vision techniques and machine learning CV algorithms Experience with shipping user-facing UIs written in React.js The salary range listed here represents the anticipated low and high ends of the base salary. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location, experience, and performance. All full-time employees receive an equity grant.We are unable to sponsor or take over sponsorship of employment visas at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship. Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more! Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you! In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status. Reach out if you want to be a part of what we are building. San Francisco Applicants: Review the San Francisco Fair Chance Ordinance guidelines applicable in your area. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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. The Mission Crusoe is building the world’s most climate-aligned AI infrastructure. As we scale toward unprecedented power densities and liquid-cooled architectures, the gap between "Data Center Design" and "Silicon Reality" must be bridged. We are seeking a Senior Staff Data Center Operations Engineer, GPU Hardware Architecture to be the definitive technical authority on GPU platforms within the Data Center Engineering and Operations organization. Your mission is twofold: act as the primary technical consultant to our Data Center Engineering team to ensure future facilities are built for next-gen silicon, and provide the Operations team with the specialized tooling, SOPs, and predictive strategies needed to maintain peak cluster health. The Strategic Bridge For DC Engineering: You are the internal consultant. You translate upcoming GPU power/thermal roadmaps (NVIDIA/AMD) into design requirements for our next-generation facilities. For Site Operations: You are the "Technical Enabler." You develop the diagnostic tools and technical SOPs that enable field technicians to resolve complex GPU issues with surgical accuracy. For Sourcing: You are the "Technical Strategist." You define the technical sparing requirements and site-level inventory needs based on hardware failure telemetry. Key Responsibilities Engineering Education & Design Support: Provide deep-dive technical guidance to the Data Center Engineering team on upcoming silicon (e.g., NVIDIA Blackwell/Rubin, AMD MI350/400). Ensure future facility designs for power, cooling, and rack-spacing are ready for 2000W+ per-chip densities. Predictive Operations & Telemetry: Leverage AI/ML methodologies to analyze fleet-wide telemetry (power draws, thermal gradients, and error rates). You will lead the transition from reactive troubleshooting to predictive maintenance, identifying "pre-failure" patterns in HBM or NVLink components before they impact customer training runs. Technical Sparing Architecture: Architect the site-level sparing strategy from a technical perspective. Use failure telemetry and MTBF data to define the "Critical Spares List" and stocking levels required at each site to meet cluster uptime targets, providing these requirements to Sourcing for execution. Operational Tooling & SOPs: Build the "Operational Blueprint" for the field. Create precision SOPs for high-stakes GPU repairs (e.g., baseboard swaps, manifold maintenance) and develop diagnostic tooling that allows Site Ops to identify NVLink flapping, PCIe degradations, or thermal throttling. Advanced Troubleshooting & RCA: Act as the Tier-3 escalation point for the most complex hardware failures in the production environment. Lead Root Cause Analysis (RCA) on systemic issues that span the boundary between hardware and facility environmental factors. Silicon Roadmap Authority: Maintain a 24-month forward-looking view of NVIDIA and AMD architectures. Educate internal stakeholders on how transitions in HBM4, interconnect speeds, and liquid-cooling will impact Crusoe’s physical infrastructure. Vendor & VAR Technical Lead: Support the technical relationship with OEMs and VARs. Audit their hardware builds, review their technical bulletins, and ensure their hardware roadmaps align with Crusoe’s operational and engineering standards. Technical Requirements Silicon & Fabric Mastery: Expert-level knowledge of NVIDIA (Hopper/Blackwell/Rubin) and AMD (Instinct) architectures. Mastery of the physical and logical layers of NVLink, NVSwitch, and InfiniBand. Infrastructure Bridge-Building: Ability to translate "Silicon Data Sheets" into "Mechanical Engineering Requirements." You can explain how a GPU's specific heat-load profile affects CDU sizing and secondary loop design. Data-Driven Diagnostics: Proficient in Python, Go, or Bash to build telemetry and health-check tools (utilizing DCGM and ROCm). Experience using large datasets or basic ML frameworks to build "Smart Monitoring" that filters critical health signals from noise. Operational Reliability Analysis: Experience using failure telemetry to inform site-level sparing requirements and field-service workflows. Thermal Management: Deep understanding of the operational realities of Direct-to-Chip (D2C) cooling, including fluid dynamics, pressure-drop curves, and the lifecycle of dripless couplings. Qualifications 10+ years in Hardware Engineering, Systems Architecture, or Data Center Infrastructure. The "Consultant" Mindset: Proven track record of educating and influencing cross-functional teams (specifically Engineering and Operations). GPU Authority: You have managed or architected GPU clusters at scale (thousands of nodes) at a hyperscaler, a GPU-specialized cloud, or a major silicon vendor. Education: B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related technical field. 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 up to $179,000 -$218,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, 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 ABOUT HUT 8 Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world's largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you're an ambitious individual looking for a career that is as rewarding as it is challenging, you've come to the right place. ABOUT HIGHRISE.AI At Highrise.ai, we recognize that the shift from traditional software to AI represents one of the most significant technological transformations of our era. Our mission is to accelerate this shift across industries by providing the cutting-edge infrastructure needed to build, scale, and deploy AI at an unprecedented level. Our products empower the development and operation of the world's most advanced large language models (LLMs), generative models, and computer vision models. By offering highly optimized GPU infrastructure, we enable organizations to unlock the full potential of AI, pushing the boundaries of what's possible in fields such as natural language processing, image recognition, and beyond. We are committed to driving innovation and efficiency in AI infrastructure, making it easier for companies to transition from concept to production at scale, with the reliability and performance necessary to stay ahead in a rapidly evolving technological landscape. ABOUT THE ROLE Hut 8 is scaling our GPU platform that integrates power, colocation, and compute into a single, operationally owned stack. Customers don't ask whether we have power or GPUs — they ask who actually runs the operation. This role exists to be that answer. Hut 8 leadership owns strategy, capital, and customer relationships. You own execution. You are accountable for taking raw, power-backed infrastructure and turning it into production-ready, SLA-backed GPU capacity — at scale. This is not a lab role or a traditional enterprise ops role. It is enterprise-grade operational discipline applied to hyperscale infrastructure, built on direct control of power, facilities, and compute. Some of the key responsibilities you should expect are the following: • You will run the full operational layer between Hut 8's facilities and the customer:, • Deployment, commissioning, and production sign-off, • Performance, uptime, and SLA ownership, • Incident response, escalation, and root cause resolution, • OEM, vendor, and hardware lifecycle management, • Scaling operations from ~1,100 GPUs to 20,000+ GPUs, • You are accountable for end-to-end managed GPU operations, including:, • RDMA networking (InfiniBand and/or RoCE), • Multi-tenant and single-tenant production environments, • 99.9%+ availability targets, • Repeatable, auditable commissioning processes, • Enterprise readiness layered onto hyperscale infrastructure, • You coordinate tightly with Hut 8 teams on:, • Power, cooling, rack density, and facility readiness, • Deployment sequencing and capacity expansion, • Operating constraints driven by energy, thermal, and site realities, • You build and lead the operational organization:, • Field operations, deployment, and infra ops teams, • Hiring, structure, and escalation paths as scale ramps, • Clear ownership across sites and customers, • You run a disciplined, hands-on operating rhythm:, • Daily standups on deployment progress, risks, and blockers, • Direct oversight of GPU failures, RDMA performance, and thermal issues, • Production sign-off for each deployment tranche, • Weekly capacity and readiness planning with facilities, • Monthly OEM and vendor performance reviews, • Quarterly planning for expansion, refresh cycles, and new platforms ABOUT YOU • You are a senior infrastructure operator who has scaled real systems, not just designed them., • 10+ years in large-scale infrastructure or hyperscale data center operations, • 5+ years operating GPU-accelerated and/or HPC environments, • Direct experience deploying and operating 10,000+ GPUs in managed, production settings, • Deep expertise in RDMA networking (InfiniBand and/or RoCE), • Proven ownership of 99.9%+ uptime and customer-facing SLAs, • Hands-on operator mindset — you drive issues from detection → root cause → resolution, • Track record of building repeatable deployment and commissioning playbooks, • Experience leading teams of 20–50+ across field ops, deployment, and infrastructure, • Senior leadership background (Director / Senior Director / VP) at a recognized operator, • Preferred/Bonus:, • Direct working relationships with NVIDIA and/or AMD, • Experience with H100, H200, GB200, and/or MI300X platforms, • Multi-site, parallel deployment experience, • Background spanning greenfield buildouts and steady-state hyperscale operations ABOUT THE WORK ENVIRONMENT This role is remote or in office in San Francisco. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. WHAT MAKES HUT 8 A GREAT PLACE TO WORK Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality. At Hut 8, you will have the opportunity to: ▶ Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting ▶ Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government ▶ Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team ▶ Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure

Job DescriptionWho is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world’s leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you. Position descriptionYou will be the main technical architect responsible for how our most strategic enterprise clients and partners implement and deploy our machine learning solutions. As one of our first group of Forward Deployed ML Engineers, you will establish our ML solutions for organizations concerned with the quality, security, performance, and cost of coding models. You will leverage your deep ML expertise and technical skills to ensure successful, production-grade implementations, ultimately driving rapid market adoption through proven on-site technical success and client satisfaction. What you will do • End-to-End Ownership: Proactively engage with client or partner teams in Research, Engineering, Data Science, MLOps, Infrastructure to understand their business and technical requirements. With our internal R&D team in the loop, design specific implementations that you will integrate, optimize, and productionize within the client’s existing or greenfield systems as well as transferring technical knowledge to client teams when applicable., • Subject Expert: Stay up-to-date with the latest LLM capabilities and implementation patterns, you are learning driven. You will need to explain complex technical details and concepts to both technical and non-technical audiences., • Influence Model Training & Tuning: Represent our core R&D team on-site, leading technical engagement with modern techniques covering all stages of model training using complex, proprietary client data. Ensure architecture is aligned with and optimized for specific constraints (e.g. GPU types, air-gapping)., • Develop Deployment Strategy: Define and execute a global technical strategy for integrating our ML solutions into diverse client environments, ensuring compliance with sector-specific data security standards and performance SLAs. Based on your implementations, build reusable playbooks and libraries that will accelerate yourself and others., • Building Relationships: Operate autonomously and with agency to build strong relationships with clients, create strategic technical partnerships and drive high-value, referenceable production deployments., • Serve as Internal Expert: Act as the primary internal consultant, advising product, research, and sales on real-world client infrastructure limitations, performance bottlenecks, and emerging technical standards necessary for product success.Experience and qualifications, • Education: Bachelor's degree in Computer Science or a related field., • Experience: 2+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software/ML Engineer with consulting experience., • ML Engineering & Training Expertise: Experience in the Machine Learning lifecycle (training, optimization, deployment), with a proven ability to lead and execute complex model deployments in production environments., • Forward Deployed/Consulting Background: Proven track record working within or closely alongside client engineering teams to successfully deploy and integrate complex, high-performance software, involving cloud or on-premise ML workloads., • Technical & MLOps Knowledge: Understanding of modern ML frameworks, programming languages including Python, and deployment technologies (Docker, Kubernetes, cloud services like SageMaker/Vertex AI/Azure AI)., • Value-Driven Influence: Demonstrated ability to influence senior technical leaders and lead engineers, translating complex model performance and system architectures into clear, tangible business value and deployment assurance.Additional comments This role is based in San Francisco. We are unable to consider candidates unwilling to be in San Francisco, but we are willing to relocate the right candidate. We value diversity, equity, and inclusion At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at hiring@sonarsource.com. All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date. We do not currently support visa candidates in the US. Applications that are submitted through agencies or third party recruiters will not be considered. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai As a Graphics Software Engineer, you will create the next generation of multi-sensor rendering software for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable rendering and content creation solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation. You will…- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge multi-sensor simulation stack leveraging graphics, computer vision, and machine learning.- Design and implement core rendering technology for simulating cameras, LiDARs, and RADARs by mixing traditional real-time rendering with neural rendering, 3D Gaussian Splatting, generative models, etc.- Collaborate with Waabi’s autonomy and safety teams to improve the realism and diversity of Waabi World.- Have the opportunity to publish high-impact research at top conferences (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA). Qualifications:- Real-time graphics experience. You’ve spent a minimum of three years shipping real-time rendering projects, and you have extensive experience in at least one GPU API (Vulkan, DirectX, OpenGL, or similar).- Familiarity with GPU optimization. You have a deep understanding of GPU performance, and you know how to use instrumentation and tracing tools like NSight, Tracy, or Renderdoc to identify and address bottlenecks.- Strong software engineering fundamentals. You write efficient and maintainable code in systems languages such as C++ or Rust, and you are proficient in at least one shading language (GLSL, HLSL, WGSL, etc.).- A passion for building worlds. Whether you've worked on AAA games, indie titles, or complex robotics simulators, you have experience creating and working within interactive 3D environments. Bonus/nice to have:- Experience in working with robotics and other autonomous systems.- Experience with accelerated computing like CUDA, OpenCL, and Vulkan compute pipelines.- Experience with accelerated raytracing (Nvidia OptiX, Vulkan Raytracing, DXR, etc.).- Experience with Python and deep learning frameworks like PyTorch, JAX, or TensorFlow.- Experience with neural rendering (NeRF, Gaussian Splatting, etc.).- Experience working in cloud computing environments, e.g., launching and debugging GPU jobs in the cloud.- The US yearly salary range for this role is: $155,000 - $269,000 USD In addition to competitive perks & benefits, Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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. Senior/Staff Cloud Hypervisor R&D Location: San Francisco, CA; Sunnyvale, CA (Onsite) Role Mission At Crusoe, we are building the "engine room" of the AI revolution. We are seeking a Staff Cloud Hypervisor R&D Engineer to serve as the lead architect for our next-generation virtualization stack. In this role, you will move beyond standard virtualization to design a "Greenfield" hypervisor environment where GPUs, DPUs, and high-speed interconnects are first-class citizens. You will be responsible for eliminating the "virtualization tax," ensuring our cloud infrastructure delivers bare-metal performance for the world’s most demanding AI/ML workloads. What You’ll Be Working On: Next-Gen Hypervisor Architecture: Lead the R&D and implementation of core hypervisor components (KVM, QEMU, or custom Rust-based solutions) specifically optimized for massive-scale GPU fleets. AI Hardware Virtualization: Develop and refine advanced hardware pass-through and abstraction techniques (SR-IOV, VFIO, mdev) to ensure NVIDIA GPUs and BlueField DPUs operate with near-zero latency in a multi-tenant environment. The "Holy Grail" Challenges: Solve high-stakes technical hurdles such as live migration for AI workloads with 80GB+ VRAM and optimizing PCIe peer-to-peer communication between virtualized accelerators. Performance Research & Profiling: Conduct deep-dive bottleneck analysis across the entire stack—from CPU microarchitecture and MMU virtualization to guest OS scheduling—to minimize jitter and maximize throughput. Open Source Leadership: Actively contribute to and maintain upstream open-source virtualization projects, positioning Crusoe as a thought leader in the Linux kernel and virtualization communities. Security & Isolation: Architect robust security boundaries for AI-native cloud infrastructure, balancing high-performance hardware access with strict multi-tenant isolation and hardening. What You’ll Bring to the Team: 7+ Years of Experience: Proven track record in hypervisor internals, kernel development, or low-level systems programming. Deep Virtualization Expertise: Expert-level knowledge of CPU virtualization (Intel VT-x, AMD-V) and memory virtualization (EPT/NPT, HugePages). You should be comfortable discussing the nuances of VMExit overhead. Hardware-Software Integration: Experience working with specialized AI hardware, including GPUs, InfiniBand/RoCE NICs, and SmartNICs/DPUs. Programming & Tooling: Mastery of C and C++ is required; proficiency in Rust for modern systems programming is highly preferred. Experience with QEMU, KVM, and Linux kernel debugging tools (perf, ftrace, eBPF). I/O Mastery: Deep understanding of VirtIO, vhost-user, and hardware-accelerated I/O paths. Technical Leadership: Experience leading complex, cross-functional projects that bridge the gap between hardware engineering and cloud control planes. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid Commuter FSA benefit of $300 per month Compensation: Compensation will be paid in the range of $204,000 - $247,000. 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 DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will...- Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.- Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks. Examples include designing new CUDA kernels, quantization-aware training and inference, and compilation/deployment techniques.- Work with researchers and ML engineers on best-practices for optimal resource usage.- Create and improve tooling and dashboards to ensure broad adoption of your work. Qualifications:- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.- Experience in deep learning frameworks such as PyTorch or Jax.- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Experience in identifying when custom CUDA kernels are needed, and implementing them.- Experience in Bazel in a monorepo environment, and integrating third party packages into dev environments.- Experience with Kubernetes-based training platforms. The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:Waabi provides a competitive benefits package that includes:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)- As we grow, this list continues to evolve! Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will...- Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.- Build distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.- Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks, including but not limited to efficient CUDA kernels for training, quantization, model exporting and compilation for inference. Qualifications:- MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.- Experience in deep learning frameworks such as PyTorch.- Experience across different stages of the development pipeline: data processing, distributed training and model deployment.- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Experience in model compilation and exporting, interaction with lower level concepts like TensorRT.- Experience in identifying when custom CUDA kernels are needed, and implementing them.- Experience in Bazel build systems, and integrating third party packages into dev environments. The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/Benefits:Waabi provides a competitive benefits package that includes:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)- As we grow, this list continues to evolve! Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America’s food supply by building the AI farmer that automates our nation’s farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before. What We Do: We start by collecting the most valuable data for farmers, telling them everything about what is growing on their millions of trees, across thousands of acres of farmland. We do this using advanced camera systems we build, that take pictures of every one of the billions of fruit in a farm. This data lives in our cloud data platform, FruitScope, that we've developed from the ground up to help farmers manage their crops with precision. Farmers across the nation use our industry-leading software to look at their data, make critical decisions, and command farming operations on a daily basis. Our technology is used today across some of the largest farms in the nation. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Senior Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. About the role: As an early engineer, you'll receive generous equity compensation Full-time role at our San Francisco, CA office Flexible working hours Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium We move fast, and sometimes this means staying late or working weekends Our team is close-knit & highly driven, you’ll work directly with our CEO and entire team We’re deeply motivated by the impact we’re making – every line of code written or new system built means less food that goes to waste, and more people who are fed. What you’ll do: Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms. Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems. Develop, deploy, and monitor infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices. Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance. Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: 5+ years of experience building production-grade data pipelines and ML infrastructure. Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch). Strong experience with data engineering tools (e.g., Pandas, SQL, Apache Airflow, Spark). Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Experience working with massive amounts of real-world training data. Familiarity with MLops software and data engineering to ensure consistent deployment of ML models. Ability to work independently, learn quickly, and operate in a dynamic environment Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $150K - $265K

Job DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role Collate’s Forward Deployed Engineering team partners with Fortune 100 life sciences organizations to deploy production AI systems across their most critical document and regulatory workflows. We operate at the boundary of customer deployment and core platform development — using early engagements to define repeatable solution patterns, evaluation standards, and agentic architectures that scale across the industry. You’ll join as one of the first members of this team and operate with the autonomy of a founder. Your job is to go deep on the hardest problems at our most strategic customers — medical writers, regulatory affairs teams, clinical operations, and development engineers — identify what’s structurally broken, and build production AI systems that solve it. What you build shapes the Collate platform for every customer that comes after you. Modern Tech Stack Collate uses a modern tech stack, targeting a highly reliable and available platform. We use Go for scalable backend services, Postgres as our main database, TypeScript & React for frontend development, and Python for AI & ML services. Our infrastructure is hosted on AWS with Kubernetes for orchestration and Terraform + Argo CD for configuration management. Other key systems include S3, Kafka, OpenSearch, LLMs, and other AI models.What You’ll Do Lead end-to-end deployments of Collate’s AI systems inside life sciences organizations — owning scoping, build, and production rollout from first conversation to measurable workflow impact. Go deep before you write a line of code. Embed with customer teams — medical writers, regulatory affairs, clinical ops — to understand what’s structurally broken, where the highest concentration of unsolved value lives, and what’s actually buildable. Design and ship production AI systems — document generation agents, agentic workflows, data pipelines — that integrate with customers’ existing infrastructure and regulatory environments. Define and run eval loops that measure system quality against workflow-specific benchmarks — acceptance criteria, output accuracy, reviewer expectations — and use that signal to improve deployed systems over time. Turn early wins into repeatable patterns. The best of what you build ships to every Collate customer. What you discover in the field directly shapes what gets built next — you’re a core feedback loop between customers and the product team. Communicate across every altitude. Translate technical tradeoffs into decisions and operating procedures for scientific, regulatory, and executive audiences — and bring that clarity back to Collate’s engineering and product teams. What We’re Looking For You’ve owned customer-facing AI deployments end-to-end — from scoping through production adoption — and can point to shipped systems that drove measurable workflow impact. You have a 0-to-1 build track record. You’ve built production software from scratch in ambiguous environments and moved fast enough to learn — not just prototype. You have hands-on production AI experience: prompt engineering, agent development, evaluation frameworks, and deployment at scale — not just familiarity with the landscape. You’ve operated as a senior engineer or tech lead trusted to make technical decisions in ambiguous environments — without needing a defined spec or a clear path. You communicate clearly across every altitude — as comfortable in a strategic discussion with a CTO as you are deep in a codebase, and able to translate tradeoffs into decisions for non-technical stakeholders. Bonus: you have context in life sciences, regulated industries, or document-heavy workflows — and understand what it means to build for auditability, compliance, and high-stakes review cycles. You think like a founder. When you walk into a customer, you’re curious about the business, digging into what’s broken, and figuring out what to build that doesn’t yet exist. You’re scrappy, resourceful, and want to do it at a higher level of ambition. Why Join Collate? Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes. Ownership: Shape both our product experience and our engineering culture from the start. Learning: Collaborate with a uniquely interdisciplinary team—AI researchers, healthcare leaders, and experienced startup builders. Upside: Join a company early enough to have meaningful equity and career-defining impact. The base salary range for this role is $150,000–$300,000 USD annually, depending on experience and level (Tier 1, San Francisco) We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Legion: 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 Palantir, 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. Role Responsibilities: • Own Full-Cycle Recruiting: Lead end-to-end recruiting across technical and non-technical functions, with a primary focus on highly specialized marketing, sales, engineering, AI/ML, infrastructure, product, and forward-deployed roles., • Partner With Leadership: Work directly with executives, hiring managers, and technical leaders to define hiring priorities, calibrate talent profiles, and influence organizational design decisions., • Build Recruiting Strategy: Develop and execute sourcing and hiring strategies for difficult-to-fill roles in highly competitive markets, particularly within AI, defense technology, and government-adjacent environments., • Drive Candidate Quality: Maintain a high hiring bar through thoughtful screening, interview calibration, structured evaluations, and strong partnership with interview teams., • Develop Talent Pipelines: Build proactive pipelines of exceptional candidates through outbound sourcing, networking, referrals, market research, and relationship-building., • Create Scalable Recruiting Operations: Improve and operationalize recruiting workflows, interview processes, candidate communication standards, and reporting infrastructure to support company growth., • Deliver Exceptional Candidate Experience: Ensure every candidate interaction reflects professionalism, responsiveness, transparency, and respect throughout the interview process., • Influence Employer Brand: Help shape how Legion is perceived externally by crafting compelling messaging, partnering on recruiting content, and communicating the company's mission and technical challenges effectively., • Advise on Compensation and Closing: Partner with leadership on compensation strategy, equity conversations, and offer negotiations to successfully close high-impact candidates., • Operate Cross-Functionally: Collaborate closely with engineering, product, security, operations, and executive leadership teams to ensure recruiting efforts align with business priorities., • Provide Market Intelligence: Continuously gather and communicate insights on hiring trends, competitor activity, compensation benchmarks, and talent market dynamics., • Own Recruiting Metrics: Track pipeline health, conversion rates, time-to-fill, and hiring efficiency while identifying opportunities to improve recruiting outcomes.Required Qualifications:, • Experience recruiting highly technical talent: Significant experience recruiting for engineering, infrastructure, AI/ML, security, product, or other deeply technical roles in competitive markets., • Track record of successful hiring execution: Demonstrated ability to close difficult searches and consistently deliver high-quality hires in fast-paced environments., • Strong sourcing capabilities: Ability to identify, engage, and build relationships with exceptional talent through creative and persistent outbound recruiting strategies., • Experience working closely with technical stakeholders: Comfortable partnering directly with senior engineers, founders, executives, and hiring managers on role definition and candidate evaluation., • Excellent communication skills: Able to communicate effectively with candidates and internal stakeholders across all levels of technical sophistication., • Strong operational mindset: Ability to improve processes, build structure where needed, and operate effectively with limited recruiting infrastructure or support., • Ability to manage ambiguity: Comfortable operating in an early-stage environment where priorities shift quickly and processes are still evolving., • High degree of ownership: Able to independently drive recruiting initiatives, prioritize effectively, and execute with urgency and accountability., • Experience closing senior candidates: Strong ability to navigate compensation discussions, competing offers, relocation considerations, and complex candidate motivations., • Ability to represent Legion effectively: Capable of articulating Legion's mission, technology, and long-term vision in a compelling and credible way to candidates.Preferred Qualifications:, • Experience recruiting within AI, defense, or national security sectors: Familiarity with cleared hiring environments, government-adjacent technology companies, or mission-driven organizations., • Startup experience: Experience working at an early-stage or high-growth startup where adaptability and speed are critical., • Experience building recruiting infrastructure: Familiarity with ATS implementation, interview process design, recruiting analytics, and operational scaling., • Technical fluency: Ability to understand and discuss modern engineering concepts, cloud infrastructure, AI systems, developer tooling, or distributed systems at a conversational level., • Experience recruiting cleared talent: Familiarity with recruiting candidates holding SECRET, TS/SCI, or other government clearances., • Employer branding experience: Experience contributing to recruiting marketing, talent messaging, or external brand positioning efforts.Compensation Information$160,000—$205,000 USD