AI Product & Operation Jobs

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role HP IQ’s Product Design Engineering team is responsible for ideating, designing, engineering, and creating the next generation of connected, AI-powered products driving the future of intelligent devices. The PD team is integral in defining products, working closely with industrial designers, hardware engineers, software engineers, and interaction designers to bring ideas to life. We value creativity and breaking down barriers. We iterate, iterate, and iterate again until it’s right. We seek passionate individuals who aren’t afraid to step outside their comfort zone. What You Might Do Design and develop cutting-edge intelligent devices Drive product development with our manufacturing partners; some travel abroad may be required Build prototypes, test them to failure, and iterate quickly Help define and drive the product roadmap and timelines Essential Qualifications 5+ years mechanical design experience Experience using 3D CAD (NX preferred) to design densely packaged electronic devices: PCBs, flexes, antennas, and batteries, etc. Strong knowledge of various materials and scalable manufacturing processes BS in Mechanical Engineering, MS a plus Preferred Skills Experience building complex electronic products Ability to independently manage tasks and clearly communicate issues and needs Passion for working on highly creative, fast-paced, and collaborative teams alongside industrial designers, hardware engineers, and UX designers Comfortable designing slides and making presentations to the leadership team Familiarity with multiple product and project development disciplines, their dependencies, and how they interact Desire to work in a collaborative environment where honesty and accountability are paramount Salary: $132,000- $230,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in Sunnyvale, CA and require 5 days/week in-office collaboration.  We are looking for a Senior FEA Engineer to design, analyze, and test key hardware components for our humanoid.    Responsibilities: Define and analyze load cases for our humanoid robot Analyze full robot stiffness Create finite element models to analyze falling, overload, durability and day to day operations Optimize design of parts and structures for minimizing weight and maximizing stiffness Work with mechanical team to develop FEA workflow and tutorials  Collaborate with mechanical, industrial design and electrical teams to architect the system Test systems in the real world and compare against finite element models. Pay close attention to modeling of bearing and other OTS components. Collaborate with controls engineers to determine load profiles  Help define materials (metals, polymers and textiles) for critical robot components Requirements:  Expert knowledge of solid mechanics Expert in setting up and running implicit and explicit finite element analysis models Experience modeling metals and polymers Experience with durability analysis methods Experience working with suppliers to characterize new polymers Bonus Qualifications:  CATIA V6 Experience Expert in ABAQUS Experience with soft goods materials including textiles Experience working with system level modeling and physics engines such as MuJoCo Modeling of structural resonance frequency The US base salary range for this full-time position is between $150,000 and $225,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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Building the Future of Open Source + Decentralized AIPrime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.Role ImpactThis is a hybrid position spanning cloud LLM serving, LLM inference optimization and RL systems. You will be working on advancing our ability to evaluate and serve models trained with our Environment Hub at scale. The two key areas are:Building the infrastructure to serve LLMs efficiently at scale.Optimization and integration of inference systems into our RL training stack.Core Technical ResponsibilitiesLLM ServingMulti‑tenant LLM Serving: Build a multi-tenant LLM serving platform that operates across our cloud GPU fleets.GPU‑Aware Scheduling: Design placement and scheduling algorithms for heterogeneous accelerators.Resilience & Failover: Implement multi‑region/zone failover and traffic shifting for resilience and cost control.Autoscaling & Routing: Build autoscaling, routing, and load balancing to meet throughput/latency SLOs.Model Distribution: Optimize model distribution and cold-start times across clusters.Inference Optimization & PerformanceFramework Development: Integrate and contribute to LLM inference frameworks such as vLLM, SGLang, TensorRT‑LLM.Parallelism and Configuration Tuning: Optimize configurations for tensor/pipeline/expert parallelism, prefix caching, memory management and other axes for maximum performance.End‑to‑End Performance: Profile kernels, memory bandwidth and transport; apply techniques such as quantization and speculative decoding.Perf Suites: Develop reproducible performance suites (latency, throughput, context length, batch size, precision).RL Integration: Embed and optimize distributed inference within our RL stack.Platform & ToolingCI/CD: Establish CI/CD with artifact promotion, performance gates, and reproducible builds.Observability: Build metrics, logs, tracing; structured incident response and SLO management.Docs & Collaboration: Document architectures, playbooks, and API contracts; mentor and collaborate cross‑functionally.Technical RequirementsRequired ExperienceBuilding ML Systems at Scale: 3+ years building and running large‑scale ML/LLM services with clear latency/availability SLOs.Inference Backends: Hands‑on with at least one of vLLM, SGLang, TensorRT‑LLM.Distributed Serving Infra: Familiarity with distributed and disaggregated serving infrastructure such as NVIDIA Dynamo.Inference Internals: Deep understanding of prefill vs. decode, KV‑cache behavior, batching, sampling, speculative decoding, parallelism strategies.Full‑Stack Debugging: Comfortable debugging CUDA/NCCL, drivers/kernels, containers, service mesh/networking, and storage, owning incidents end‑to‑end.Infrastructure SkillsPython: Systems tooling and backend services.PyTorch: LLM Inference engine development and integration, deployment readiness.Cloud & Automation: AWS/GCP service experience, cloud deployment patterns.Kubernetes: Running infrastructure at scale with containers on Kubernetes.GPU & Networking: Architecture, CUDA runtime, NCCL, InfiniBand; GPU‑aware bin‑packing and scheduling across heterogeneous fleets.Nice to HaveKernel‑Level Optimization: Familiarity with CUDA/Triton kernel development; Nsight Systems/Compute profiling.Systems Performance Languages: Rust, C++.Data & Observability: Kafka/PubSub, Redis, gRPC/Protobuf; Prometheus/Grafana, OpenTelemetry; reliability patterns.Infra & Config Automation: Terraform/Ansible, infrastructure-as-code, reproducible environmentsOpen Source: Contributions to serving, inference, or RL infrastructure projects.What We OfferCompetitive compensation with significant equity incentivesFlexible work arrangement (remote or San Francisco office)Full visa sponsorship and relocation supportProfessional development budgetRegular team off-sites and conference attendanceOpportunity to shape decentralized AI and RL at Prime IntellectGrowth OpportunityYou'll join a team of experienced engineers and researchers working on cutting-edge problems in AI infrastructure. We believe in open development and encourage team members to contribute to the broader AI community through research and open-source contributions.We value potential over perfection. If you're passionate about democratizing AI development, we want to talk to you.Ready to help shape the future of AI? Apply now and join us in our mission to make powerful AI models accessible to everyone.

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About Us Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx.Our Role We’re looking for a Solutions Consultant II to provide technical and subject matter expertise to some of the world’s most innovative, fast-growing companies. You will collaborate with our Sales team to close new business by developing a deep understanding of our clients’ business needs, whilst ensuring our existing customers maximize value by crafting AI-first strategies to be adopted by their entire organization. In other words, you will be responsible for guiding and supporting customers throughout their entire lifecycle with Ada, from their initial engagement as a prospect, through to implementation and their long-term success with our company and product.  About You 3+ years of strategy/management/technology consulting and/or pre-sales engineering experience. Fluent in both English and French. Spanish language skills are considered an asset. Working knowledge of APIs and a common understanding of SaaS platforms (e.g. Shopify, Salesforce, Zendesk, Hubspot, etc.) Excellent communication and presentation skills, with the ability to effectively explain technical concepts to non-technical audiences. Strong relationship building skills as you will be required to maintain and develop technical champions across the table. Experience building relationships with VP level stakeholders will be considered an asset. Technically and analytically curious, where you demonstrate the ability to be a perpetual learner and love to make new discoveries and improve the status quo. Reliable and resilient team player with a start-up mentality able to deliver on your commitments whilst managing multiple competing priorities in a fast-paced constantly-changing environment. Generative AI implementation experience will be considered a strong asset. Outcomes Lead discovery sessions with customers and prospects to uncover requirements and challenges and identify opportunities in their businesses. Utilize your knowledge of APIs and SaaS platforms to address technical questions and provide solutions. Deliver concise, compelling, value-based presentations (product demos, technical assessments, roadmaps etc.) to all levels of an organization, including C-suite (e.g. CTO, CMO). Build custom product demonstrations and sandboxes that capture the long-term value of Ada’s Automation-First strategy. Scope and design integrations into customers' existing technology stack. Support pre-sales meeting quarterly revenue goals through closing new business.  Support customers through their implementation and going live with our product. Support post-sales retaining and expanding existing client accounts by delivering quarterly business reviews and identifying upsell opportunities. Drive adoption and utilization of the platform with a focus on increasing automated resolutions for existing customers. Collaborate with Product Management, Engineering, and Marketing to continuously provide feedback and improve Ada’s products and marketing. Please note this is a remote UK-based position Benefits & Perks At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer: Benefits Unlimited Vacation: Recharge when you need to. Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance. Wellness Account: Empowering you to invest in your overall well-being and lifestyle. Employee & Family Assistance Plan: Resources to support you and your loved ones. Perks Flexible Work Schedule: Balance your work and personal life. Remote-First, In-Person Friendly: Options to work from home or at our local hub. Learning & Development Budget: Invest in your long-term growth goals and skills. Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience. Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry. Hands-On with LLMs: Enhance your expertise in leveraging large language models. A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology. The above Benefits and Perks only apply to full-time, permanent employees. Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

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About the RoleAt Pika we’re building the future of AI video and social media. Our products give people new ways to create, remix and share ideas, and we’re looking for a designer who can help shape that future.We’re looking for a Senior Product Designer to partner with the team in defining what great AI video experiences look and feel like. This role is not just about designing a beautiful app (though you care about this too). It’s about designing tools and interactions that feel intuitive, inspire creativity, and align with people’s emotional and practical needs.What You’ll DoLead design from concept to polished execution across mobile and web.Develop product strategies, explore interaction patterns, and push bold ideas into prototypes and shipped products.Partner closely with product, engineering, research and marketing to bring clarity to ambiguous problems and build features that make sense.Use storytelling, prototypes, and clear rationale to communicate your design intent.Balance systems-thinking with craft, obsessing over user flows, creating consistent internal logic, while also paying attention to fonts, type scales, consistent color palettes, spacing and animation.Design within and beyond existing design systems, knowing when to follow patterns and when to invent new ones.Advocate for real people and users of the app and understanding that design is not about you as a designer, or even the app, but about the humans on the other side.Qualifications4-8 years of experience in product design (UI/UX) with multiple shipped mobile apps.A portfolio of shipped products where you personally led the UX and visual design, showing both your product thinking and your craft.Comfort with Apple’s Human Interface Guidelines and system design thinking.Ability to quickly visualize, prototype and iterate on ideas.Expertise in creating a consistent internal logic that maps to the users’ mental models.Expertise collaborating across disciplines and debating ideas with reason, not ego.Bonus PointsBackground in designing creation tools, social media platforms, or games.A degree in design or related field (not required)Design-engineering, or vibe-coding high fidelity prototypes and animations.Based in or around Palo Alto, CA About PikaAt Pika, we’re crafting a future where video creation is seamless, intuitive, and universally accessible. Our vision is set on a world where videos transcend entertainment, serving as a canvas for everyone's unique expression. Harnessing AI's transformative power, we aim to dismantle the technical barriers that have traditionally made video production an exclusive field. It’s about building the best technology that upholds the power of creativity—not just within our products but as an integral part of our culture.We’re a small team of energetic, smart and curious individuals. We value efficiency, collaboration, and creativity. We seek new team members who bring sharp intellect, a strong work ethic, and the ambition to make an impact. Here, you'll find significant room for career advancement, supported by a culture that nurtures both individual and collective development.Our headquarters is based in Palo Alto, CA, and we work from the office 5 days a week.

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🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!📝 What You'll Be Doing!You’ll join a fresh team in the Greater Vancouver Area focusing on building an AI video agent for professional creators who want to dominate their category. You will be working closely with the product, marketing/sales teams daily to rush prototype, beta and production version of this disruptive product using AI Agent technology.You will co-innovate with some of the world’s top social media creators and enterprise teams to validate AI agents that boost 100x outcome compared to the pre-AI era. Our tech stack: GCP, Typescript, Python, Redis/MongoDB/Cloud Storage, lots of AI models.📝 Background and Qualifications:Keywords: ambitious, scrappy, enterprise, growth mindsetBachelor's degree or higher in Computer Science or a related field. A total of 5-8 years of experience in software engineering.A strong entrepreneurial or hacker spirit or experience in a rapidly growing startup. Believes that speed is key and quality to follow later. You dare to set ambitious goals and deadlines. And you work hard and smart for it. You enjoy the challenge and treat it like a sport.You resonate with the combat spirit to win if you've watched the F1 Movie.Fast learner and self-starter as a full-stack engineer. A broad range of tech skills are preferred. Must have both front-end (such as React) and server-side skills (NodeJS, Django etc).Good understanding of software engineering principles and best practices. Good judgement on when to hack and when to craft.Excellent communicator with experience working across global teams. Open to having 1–2 evening meetings per week with Asia-based senior engineers. 📝 Preferred Experience shipping AI Agents or video products for Enterprises. Care about the creator economy and empowering human storytellers with AI Agents. 📝 You should NOT join if:You prefer working in a well defined scope where your work is assigned to you instead of you defining your work.You prefer focusing on coding and not worrying about product, design and customers.You don't want to de-value your precious coding skills and think vibe coding will never work.You are happy with the pre-AI engineering principles you learned and don't think they will change in the AI era.You think scrappiness is all you need and production is the same as prototyping.📝 Location (On-site):Burnaby, Vancouver, CAEEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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This role is remote and can be executed globally. However, to facilitate working with the team, we prefer candidates based in EU timezones.About ElevenLabsElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is scaling rapidly but we are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company - from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerLearning & development: Annual discretionary stipend towards professional development.Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: We bring the entire company together at a new location every year.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.About the roleWe are looking for someone who will help shape the future of AI voices by creating, evaluating, and curating cloned voices for our global library. You’ll work at the intersection of creativity and technology, ensuring every voice meets the highest standards of quality, diversity, and realism. The challenge: turning raw audio data and AI outputs into expressive voices that people actually want to use.Ideal archetype: a creative ear with technical rigor — someone who lives in sound, loves experimenting with voice, and knows how to judge what feels authentic.Curate a growing library of voices across languages, accents, and stylesEvaluate AI-generated voices for naturalness, expressiveness, and usabilityMix and match recordings to push the boundaries of what’s possible with cloned voicesBalance creative instincts with consistent quality standardsRequirementsSkilled in working with audio — creation, editing, or evaluationAbility to judge subtle differences in tone, clarity, and accentOrganized, comfortable curating at scale: building structured collections, not just one-offsBonus:EU time zone for collaboration is a plusMusic, dubbing, or sound design backgroundMultilingual ear for accents and natural speechExperience working with creative agencies or voice talent

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⚠️ Please read firstThis is a full-time, in-person role based in San Francisco (Presidio) - we work from the office 5 days a week.You must be based in the Bay Area or willing to relocate before starting.We require US work authorisation, but are open to O-1 visa sponsorship for truly exceptional candidates. About the roleWe need someone who can make AI feel less intimidating and more magical through social content that stops the scroll. You understand that behind every AI breakthrough is a human story worth telling, and you know how to tell it in 15 seconds or less.This isn't about posting product updates. It's about creating moments that make people realize: "Wait, AI can do that?" You'll turn complex AI concepts into content that grandparents and CTOs both understand and share.You believe that the future of AI adoption happens one viral moment at a time, and you're here to create those moments. Whether it's a TikTok showing a lawyer building their first AI assistant or a LinkedIn post that changes how someone thinks about their job, you make AI accessibility feel inevitable.What you'll actually be doing:Turn features into phenomena - That new workflow automation? You're showing it as "POV: You just automated 3 hours of work in 3 minutes." The latest AI model integration? You're demonstrating why it matters to someone's Tuesday morning.Own our social presence across all platforms - TikTok, Twitter, LinkedIn, Instagram - you know what works where and why. You're not just cross-posting; you're crafting platform-native content that feels authentic to each audience.Capture the "aha" moments in real-time - When someone builds their first AI agent, when a non-technical user realizes what they can create, when a skeptic becomes a believer - you're there with the camera rolling.Move at internet speed - AI Twitter is talking about something today? You've got our take ready within hours. New meme format dropping? You're already adapting it to show why natural language programming is the future.Build community through content - Every post should make someone think "these are my people." You're not just growing followers; you're gathering the future builders of AI.Collaborate with the whole team - Work with our content creator to amplify video content, partner with brand design for visual consistency, and extract stories from engineering that would otherwise stay buried in commits.Your content will make people think:"I never thought about AI like that""Wait, I could actually build something useful with this""Finally, someone who explains AI without the jargon""This company actually gets it"You are probably:Obsessed with the craft of social storytelling - You know that the first 3 seconds determine everything, that hooks are more important than conclusions, and that authenticity beats polish every time.Already creating content about AI and technology - You're the person explaining GPT to your non-technical friends, showing off the latest AI tools, or calling out the hype from the reality.Platform-native across generations - You get why Gen Z uses TikTok differently than LinkedIn, why Twitter rewards different behavior than Instagram, and how to speak to each audience authentically.Curious about the human side of technology - You see an AI demo and immediately think about who this helps, what problem it solves, and how to make that story compelling.Community-minded - You're already part of AI communities, you know the main characters, and you understand what excites (and terrifies) people about AI.You definitely have:Proven social media growth - You've built audiences from scratch and know what it takes to break through the noise. You can point to specific campaigns or content that moved metrics that mattered.End-to-end content creation skills - You can ideate, shoot, edit, write, and publish without needing a team. You're comfortable with cameras, editing software, and content planning tools.Deep understanding of AI landscape - You know the difference between foundation models and fine-tuning, you follow AI Twitter religiously, and you can explain why this moment in AI history matters.Data-driven creative instincts - You create based on gut feeling but optimize based on performance. You know which metrics matter and which ones are vanity.Speed as a superpower - You can turn a company announcement into viral content in under an hour. You ship daily content without sacrificing quality.Brand intuition - You understand our voice instinctively and can represent Wordware authentically across different contexts and conversations.Bonus points if you:Master AI-powered content creation tools - You're already using AI to accelerate ideation, editing, thumbnail creation, and everything else in your workflow.Have experience with technical products - You've made developer tools, B2B software, or complex platforms feel approachable to mainstream audiences.Built communities around technology adoption - You've helped people overcome the fear of new tools and turned skeptics into advocates.Have a strong POV on AI democratization - You believe everyone should be able to build with AI, not just engineers, and you're not afraid to say why.Can point to content that changed conversations - Whether it's a viral thread, TikTok, or campaign, you've created content that shifted how people think about technology.Understand the creator economy - You know what motivates creators, how to work with influencers, and how to turn users into advocates.Real talk:This is a hands-on role - you'll be creating, posting, and engaging yourself, not managing agencies or teams.You'll be representing a product that's creating a new category - there's no established playbook for "social media for AI development platforms."Our team has strong opinions about AI's future; your job is to make those opinions feel accessible and exciting to everyone else.We ship fast and iterate quickly - including on social strategy. What works today might not work tomorrow.Success means making AI development feel as natural as using any other creative tool, one post at a time.

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RYZ Labs is seeking a Head of Enterprise AI Sales to lead our sales efforts into medium and large enterprises across the U.S. This is a first-in-role hire: you will be the face of RYZ Labs' enterprise AI solutions, responsible for driving new business, closing complex deals, and laying the foundation for a scalable sales organization. You'll sell into non-tech sectors — including logistics, manufacturing, healthcare, and retail — where companies are eager to implement AI but need a partner to help them navigate adoption safely and effectively. This role is ideal for a proven enterprise hunter with the credibility to sell at the C-level, and the entrepreneurial drive to build from scratch. Key Responsibilities - Own the full sales cycle for medium-to-large enterprise accounts.- Drive pipeline creation and execute outbound strategies targeting priority sectors.- Navigate complex, multi-stakeholder organizations to close six- and seven-figure deals.- Lead discovery conversations to identify business challenges and AI opportunities.- Collaborate with RYZ Labs' technical teams to scope, position, and deliver tailored proposals.- Act as a thought leader and trusted advisor to C-level executives on AI adoption.- Represent RYZ Labs at events, conferences, and industry forums. Qualifications - 8+ years of enterprise sales experience, with a track record of closing $250k–$1M+ consultative deals.- Strong background in selling services/solutions into non-tech industries (e.g., healthcare, logistics, manufacturing, retail).- Ability to lead complex, multi-stakeholder sales cycles.- Comfort in ambiguity: thrives in early-stage environments and can build playbooks from scratch.- Entrepreneurial mindset with both hunter drive and executive presence.- U.S.-based, with flexibility for travel to client meetings and industry events. About RYZ Labs: RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done most efficiently. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Ryz Labs is seeking a Head of Sales to own the GTM strategy, execution, and revenue growth for our RLHF vertical. Based in San Francisco, this leader will be responsible for building and managing the sales function, driving new customer acquisition, and establishing RYZ Labs as the go-to partner for RLHF-driven solutions in the U.S. This role requires a strong mix of enterprise sales expertise, strategic thinking, and the ability to build relationships across industries where RLHF can drive transformative value. Key Responsibilities - Build and lead the sales organization for the RLHF vertical, including hiring, training, and performance management.- Define and execute the GTM strategy for enterprise and mid-market clients in the U.S.- Identify and prioritize target accounts across industries (e.g., tech, finance, healthcare, enterprise SaaS).- Partner with marketing and product teams to refine value propositions and market positioning.- Drive end-to-end enterprise sales cycles, from prospecting to close.- Own revenue targets and consistently deliver against growth objectives.- Represent RYZ Labs at events, conferences, and with media/analyst communities.- Act as a trusted advisor to C-level stakeholders on RLHF adoption and strategy.- Work closely with engineering, product, and operations teams to ensure delivery alignment.- Provide market feedback to inform R&D and solution roadmaps. Qualifications - 8+ years of experience in enterprise sales or business development, including leadership roles.- Proven track record of closing $1M+ enterprise deals and scaling sales organizations.- Deep understanding of AI/ML markets; familiarity with RLHF and its applications is strongly preferred.- Strong network in San Francisco and U.S. tech ecosystem.- Entrepreneurial mindset, with ability to thrive in a fast-paced, evolving environment.- Exceptional communication, negotiation, and leadership skills. About RYZ Labs: RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done most efficiently. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods with  powerful new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We're looking for a skilled and experienced translational scientist program manager to join our team and help support the execution of PathAI’s business and academic partnerships, including strategic projects, external collaborations and internal initiatives. The Translational Science Lead will work closely with machine learning, biomedical data sciences, product development, and business operations teams to ensure that our scientific project goals are being met, and that we and that we are maximizing our platform’s capabilities. The Translational Science Lead will be responsible for the day-to-day operations of current project relationships and supporting the development of new activities, as well as lead internal scientific strategy within disease areas. What You’ll Do Responsible for the scientific and strategic development of company projects. Drive and uphold rigorous scientific standards, bringing consistency to the analyses you encounter and ensuring our discoveries are adequately reviewed. Apply cutting edge approaches towards understanding disease biology to improve precision medicine and biomarker development. Solve interesting problems with machine learning and data science. Oversee day-to-day technical developments and manage relationships with internal and external stakeholders Collaborate across a range of groups - product, design, engineering front-end, machine learning, business operations, and infrastructure teams. Recommend new features for internal and external users, and improve existing ones to enhance the user experience. Drive the prioritization of our platform development, considering the team and our future roadmap. Mentor, learn, and share knowledge with others along the way. What You Bring 5+ years of experience in biotech, pharmaceutical or medical device industries. Advanced degree in life sciences or biomedical engineering-related disciplines required, PhD preferred. Ability to process quantitative datasets and broad comfort with statistics. Intellectual curiosity and the ability to learn quickly in a complex space. Strong organizational skills and experience managing project timelines We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.    #LI-Remote   

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About Celestial AI As Generative AI continues to advance, the performance drivers for data center infrastructure are shifting from systems-on-chip (SOCs) to systems of chips. In the era of Accelerated Computing, data center bottlenecks are no longer limited to compute performance, but rather the system’s interconnect bandwidth, memory bandwidth, and memory capacity. Celestial AI’s Photonic Fabric™ is the next-generation interconnect technology that delivers a tenfold increase in performance and energy efficiency compared to competing solutions. The Photonic Fabric™ is available to our customers in multiple technology offerings, including optical interface chiplets, optical interposers, and Optical Multi-chip Interconnect Bridges (OMIB). This allows customers to easily incorporate high bandwidth, low power, and low latency optical interfaces into their AI accelerators and GPUs. The technology is fully compatible with both protocol and physical layers, including standard 2.5D packaging processes. This seamless integration enables XPUs to utilize optical interconnects for both compute-to-compute and compute-to-memory fabrics, achieving bandwidths in the tens of terabits per second with nanosecond latencies. This innovation empowers hyperscalers to enhance the efficiency and cost-effectiveness of AI processing by optimizing the XPUs required for training and inference, while significantly reducing the TCO2 impact. To bolster customer collaborations, Celestial AI is developing a Photonic Fabric ecosystem consisting of tier-1 partnerships that include custom silicon/ASIC design, system integrators, HBM memory, assembly, and packaging suppliers.ABOUT THE ROLE We are seeking a Photonics Chip Lead that can own the delivery of product PICs for Celestial’s industry-leading scale-up network offerings. The role requires deep expertise and experience in Silicon Photonics system, block & device design, IC design EDA tools and PIC/ASIC co-design. ESSENTIAL DUTIES AND RESPONSIBILITIES Delivery of Photonic ICs (PICs) for Celestial’s key product segments. Drive critical aspects of PIC design, including photonic architecture & routing, schematic capture & modeling and physical design. Work in conjunction with broader analog, digital and packaging teams to ensure PIC meets all product specifications and integration requirements. Contribute to the design of Silicon Photonic devices and subsystems to augment the Celestial Photonics PDK.   QUALIFICATIONS   Specialized skills Strong experience with complete Silicon Photonics PIC development (architecture, routing, link-budget development, system integration) Strong experience with modeling of photonic circuits and with simulation of Silicon Photonics components using standard tools (Lumerical, Photon Design, RSoft, VPI or similar) Experience with physical design/layout tools (Cadence, Mentor or similar) Experience with PIC co-design with ASICs and digital control blocks Experience with data analysis tools (JMP, DataConductor or similar) Education requirements Minimum MS in engineering or physics. PhD is preferred. Experience requirements Minimum 10 years of relevant experience Attributes Self-starter Thrives in a highly collaborative and dynamic work environment Excellent oral and written communication skills Creativity in problem-solving with strong attention to detail     LOCATION: Santa Clara, CA   For California Location: As an early stage start up, we offer an extremely attractive total compensation package inclusive of competitive base salary, bonus and a generous grant of our valuable early-stage equity. The target base salary for this role is approximately $195,000.00 - $235,000.00. The base salary offered may be slightly higher or lower than the target base salary, based on the final scope as determined by the depth of the experience and skills demonstrated by candidate in the interviews.We offer great benefits (health, vision, dental and life insurance), collaborative and continuous learning work environment, where you will get a chance to work with smart and dedicated people engaged in developing the next generation architecture for high performance computing. Celestial AI Inc. is proud to be an equal opportunity workplace and is an affirmative action employer.   #LI-Onsite

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The Role We're looking for an experienced Engineering Manager to lead and inspire a high-performing team of software engineers. In this role, you'll be responsible for people management, technical execution, and cross-functional collaboration to deliver impactful features that improve how our users create and manage content with AI.You’ll be joining a fast-paced environment where experimentation is encouraged, ownership is expected, and shipping quality software matters. The ideal candidate is an empathetic leader who can balance execution with coaching, strategic thinking with attention to detail, and team alignment with individual growth.This fully remote role reports to the Chief Technology Officer and is open to candidates located anywhere in the continental US. What you will do at JasperLead a team of engineers working on core areas of Jasper’s platform (e.g., content generation, collaboration tools, data pipelines, or integrations).Foster a high-trust, inclusive, and feedback-driven engineering culture focused on learning, autonomy, and performance.Collaborate with product managers, designers, and other stakeholders to define, prioritize, and deliver on technical and business goals.Ensure reliable delivery by creating healthy team rituals, resolving blockers, and optimizing processes.Support engineers' growth through coaching, mentorship, regular feedback, and clear development plans.Participate in technical design reviews, architectural planning, and roadmap discussions.Contribute to hiring and onboarding as we continue scaling the engineering team.What you will bring to Jasper 7+ years of hands-on software engineering experience and deep understanding of our tech stack (Typescript(NodeJS), NestJS Framework, Python, and React3+ years of engineering management experience, ideally in a VC-backed, high-growth SaaS or product-led company.Proven track record of shipping high-quality features with cross-functional teams.Excellent communication skills, both verbal and written.Passion for building generative AI products or developer tools is a strong plus.Experience managing remote teams is preferred.Compensation Range At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $210,000 - $250,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.Benefits & PerksComprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families401(k) program with up to 2% company matchingEquity grant participationFlexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from workFlexWellness program ($1,800 annually) to help support your personal health goalsGenerous budget for home office set up $1,500 annual learning and development stipend 16 weeks of paid parental leaveOur goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the RoleAs a Machine Learning Engineer in our Professional and Financial Services business unit, you will work on project teams delivering bespoke machine learning solutions to our clients. You will be responsible for implementing data-driven approaches, contributing to the design of scalable software architectures, and ensuring best practices are followed throughout development.You will collaborate closely with our commercial team to help shape and deliver high-quality projects. In the early stages of client engagements, you will contribute to defining the technical scope, ensuring that proposed solutions are both feasible and aligned with business objectives. Your work will play a critical role in ensuring we deliver impactful software within agreed timeframes.This role offers the opportunity to apply cutting-edge machine learning techniques to complex challenges in professional and financial services, while working alongside colleagues from diverse technical and commercial backgrounds. What You'll Be DoingYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Working with senior engineers to scope projects and design systemsProviding technical expertise to our customersTechnical DeliveryWho We're Looking ForYou can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of, and experience with the full machine learning lifecycleWorking with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchExperience with software engineering best practices and developing applications in Python.Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)Demonstrable experience with containers and specifically Docker and KubernetesAn understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesDemonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWe like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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We’re hiring a Product Designer to craft the interfaces and experiences that power Antimetal’s investigation and automation engine.This role is core to our product. You’ll design and ship high-performance UIs, prototype new interaction models, and ensure our frontend is as scalable and reliable as the infrastructure it represents.About AntimetalAntimetal is building the future of infrastructure management. We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products.What You’ll Do:Design and ship high‑quality product experiences—from early concepts to polished prototypes and visuals.Translate complex AI reasoning into an actionable experience providing wisdom.Own our visual language and design system to ensure pixel-perfect, consistent execution.Use research, data, and iteration to continually improve the end‑to‑end experience.Work closely with engineering to ship high-fidelity experiences with systems thinking.What you bring:A portfolio that shows real product and business impact.Deep UX expertise—clear user flows, interaction design, and usability.Sharp visual craft across design, typography, and layout; a refined eye for detail.Experience designing data‑rich or AI‑native interfaces.Comfortable in a fast-moving, high-performance startup environment.Excited to dive into agents and LLMs and help define how AI‑first products should look and behave.Bonus:Experience with data-intensive products, developer tools, or observability platforms.Exposure to real-time applications or non-deterministic UX (e.g., AI/ML systems).Experience at an early-stage startup, ideally in a role where design and engineering were closely intertwined.Strong product thinking skills.Who you are:Identify as a builder.Are excited to work in-person from our new and spacious office in New York.Love working in a startup environment (experience in a startup or obsession with going zero-to-one).Enjoy working with people who are ambitious, caring, and think in systems.Thrive in a fast-paced iterative environment where experimentation is essential.What we bring:Pay & ownership — Competitive salary with generous equity grants.Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits.Unlimited PTO — Take the time you need to recharge.Dinner on late nights — Working late? Dinner is on us.Fitness stipend — Monthly support for your health and wellness.Tools of the trade — Any equipment you need to do your best work.Commute perks — Citi Bike + train benefits.Interview processApplication Review – Send us your stuff, and a quick note on why you're excited.Intro Chat: Share what you're looking for next and learn more about what we're building.Founder Interview: Talk with one of our founders in more detail about the role.Product thinking Interviews: We’ll have you complete a short exercise specific to the role.Onsite: Come onsite and meet the team through a series of 1:1 interviews, while also having the chance to share your work.Decision – We’ll move fast.

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⚠️ Please read firstThis is a full-time, in-person role based in San Francisco (Presidio) - we work from the office 5 days a week.You must be based in the Bay Area or willing to relocate before starting.We require US work authorisation, but are open to O-1 visa sponsorship for truly exceptional candidates. Full Stack EngineerWhat You’ll DoYou’ll write and ship full-stack features end to end — from frontend UI, to backend logic, to the database and infra.We’re still a small team, and the product is early — you won’t just be building features; you’ll help shape the trajectory of the company and the future of AI development.Here are a few examples of the kinds of things you might work on:Build a real-time, multiplayer IDE for AI development — think Google Docs meets VSCode, powered by Y.js and TipTap.Extend our executor: a custom runtime that turns natural language into live, traceable agent workflows with pause/resume and retries.Design the “GitHub for AI” — an interface for exploring, remixing, and sharing agents and flows with versioning and collaborative editing.Talk to users, debug live issues, and ship fixes fast — often the same day.Make product calls in the moment when things are ambiguous, and help shape the platform we’re building.${your ideas}.StackTypeScript, React, Next.js, Node.js, PostgreSQL, Cloudflare Workers, Durable Objects, Y.js, and TipTap.Who you areMinimumYou have 4+ years of engineering experience, with a strong track record of shipping real products.You’re fluent in TypeScript and comfortable working across the stack — frontend, backend, and database.You’ve built and owned complex full-stack systems end to end, not just small pieces.You’re comfortable with ambiguity, unblock yourself, and make progress without waiting on perfect specs.You enjoy working in a fast-paced, high-trust startup environment and like wearing multiple hats.Bonus (but not required)You’ve worked with our stack: React, Next.js, Node.js, PostgreSQL, Cloudflare Durable Objects.You’ve built or integrated with LLM-based tools and have hands-on experience with AI workflows.You’ve been a founder or early-stage engineer before, and care deeply about product.The ProcessWe keep our process simple. Exceptional candidates go from first touch to offer within 2 weeks.ApplicationSubmit your resume and answer a few short questions. If it looks like a fit, we’ll invite you to send a 1-minute Loom video: tell us who you are and why you want to join Wordware.15-minute intro callQuick check to align on location, motivation, and logistics. If it’s a go, we move fast from here.45-minute technical interviewYou’ll build a small full-stack app. We’re looking for fluency, speed, and product sense.System design interviewA deep dive into how you think and architect systems. We’ll walk through a real Wordware problem together.Final conversationQuick vibe check, answer your questions, and scope out the work trial.Work trialPaid trial to work on a real project in person with us — usually a few days to two weeks (flexible to do what works for you). See how we work and whether this feels like the right fit on both sides.

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What You’ll DoOperate and maintain bare-metal Kubernetes clusters, scaling up to thousands of nodesHandle cluster degradation, recovery, resizing, and incident response using fleet management toolsParticipate in a well-managed on-call rotation for critical incidentsAssist customers with Kubernetes questions, workload integration, storage, and authenticationWork closely with our HPC Ops and Datacenter Ops teams for low-level or cross-functional issuesUse Python and Golang to create tooling and automate the validation of platform quality.Design, build, and maintain scalable control plane services, operators, and custom controllers for KubernetesDevelop automation for cluster lifecycle management: provisioning, upgrades, patching, and deletion.Define and implement SLOs and SLIs for Kubernetes services, workloads, and platform reliability.About YouMust-Have6+ years of experience in a SRE, operations engineer, or similar role, with a deep knowledge of running Linux clusters and systemsStrong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operatorsProven experience operating Kubernetes clusters in production environments (on-prem, EKS, GKE, or similar)Can work either independently with limited direction or as part of a teamCan work with customers during incidents either via tickets, live messaging, or as part of a larger call.Familiarity with observability tools like Prometheus, Grafana, FluentBit, and CI/CD pipelinesProven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, or similarNice-to-HaveDeep Kubernetes expertise: CRDs, CSI, CNI, Kubernetes Operator Coding experienceExposure to HPC clusters, AI/ML workloads, or large-scale GPU clustersHybrid or multi-cloud Kubernetes environment experienceContributions to CNCF projects or Kubernetes SIGsWhy Join UsWork on cutting-edge Managed Kubernetes platforms for AI/ML workloadsInfluence the platform roadmap and help shape operations and reliability best practicesCollaborate with a highly skilled engineerOpportunity to mentor and grow within a fast-growing, technology-driven environmentSalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role As the Software Engineer, Tooling and Development Infrastructure, you will play a critical role in shaping the developer productivity tools and automated testing strategy. You’ll collaborate closely with design, development, and quality teams to plan, design, and implement robust automated tools and services that ensure the quality and reliability of our AI software stack. You will be highly hands-on in your work and collaborate closely with stakeholders. This position offers a unique opportunity to influence the development of cutting-edge automation frameworks, foster a culture of quality, and contribute to the long-term success of the organization. What You Might Do Develop and implement automation frameworks and testing strategies that cover the entire software stack, from backend systems to user-facing features. Identify, evaluate, and integrate new tools that streamline development. This includes everything from code quality tools and to Infrastructure-as-Code (IaC) solutions. Help continuous improvement efforts for our build, release, and test systems, ensuring a robust and efficient CI/CD pipeline. Explore and implement AI tools, such as the OpenAI API, to create both deterministic and non-deterministic testing approaches that uncover hard-to-find bugs. Design and build reusable automated tests and tools that establish a high standard for the team, empowering other engineers to adopt and contribute to best practices. Partner with System Software, Automation, and Test teams to ensure testing strategies are integrated and aligned across the organization. Use your deep understanding of system logs and backend processes to diagnose and resolve complex issues that arise during testing. Essential Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). 2+ years of experience in automation engineering. Hands-on experience working with Linux and Windows. Strong proficiency in developing tools for test automation. Deep understanding of observability and telemetry. Good understanding of complete software development life cycle. Proficiency in Python or other object-oriented programming languages. Preferred Skills You have a deep understanding of the entire development ecosystem and can design and implement scalable build, release, and test systems. Expertise with CI/CD pipelines is critical, with hands-on experience in platforms like Jenkins, GitHub Actions, or GitLab CI. You are proficient with test automation frameworks such as Pytest, and can lead the adoption of these tools to ensure product quality. You are experienced with observability and monitoring tools, including Splunk, to provide deep insights into system behavior and performance. Experience with consumer electronics a plus Familiarity with ML Usage. Some familiarity with how to leverage machine learning models in a product environment is a plus. Strong Interpersonal and Leadership Skills. You possess excellent communication skills and a proven ability to manage cross-functional relationships, driving alignment and collaboration with system software, automation, and test teams. Salary Range: $100,000 - $140,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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Get to Know UsHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results. Overview Join Horizon3 to help pioneer AI Offensive Security (AI OffSec)—where machine learning and cybersecurity collide. We’re seeking junior engineers with a strong AI/ML foundation—especially those eager to explore reinforcement learning (RL) and modern model-tuning methods—to build intelligent agents that probe networks, discover vulnerabilities, and emulate real adversaries. You’ll help design, train, and test AI systems that continuously learn to think and act like attackers.Essential FunctionsDevelop AI systems for vulnerability detection and autonomous security testingDesign and train reinforcement-learning and fine-tuning workflows (e.g., PPO, LoRA/QLoRA) to improve automated security agentsAutomate security testing pipelines with Python and modern ML frameworksContribute to feature development from concept through deployment, including model evaluation and experiment trackingIdentify and document vulnerabilities in AI-native applications and LLM workflowsResearch emerging AI security threats, prompt-injection tactics, and adversarial MLDocument findings and help build a technical knowledge base Core Competencies / RequirementsBachelor’s degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Software Engineering, Mathematics, Statistics, or a related fieldStrong Python skills and comfort with data-science libraries (NumPy, pandas, scikit-learn)Foundational knowledge of AI/ML concepts and frameworks (PyTorch, TensorFlow, or JAX)Exposure to reinforcement learning or similar methods (deep Q-learning, PPO) through coursework, labs, or projectsUnderstanding of model training life cycle: data prep, feature engineering, and evaluationExperience with Linux environments and Git version controlInterest in cybersecurity and ethical hackingStrong problem-solving and clear communication skillsMust be located in or willing to relocate to the Indianapolis metropolitan area Desired / Nice to HaveHands-on projects fine-tuning LLMs or training LoRA/QLoRA adaptersExperience with vector databases or retrieval-augmented generation (RAG)Familiarity with AI security topics (model inversion, adversarial attacks)Internship or academic work in reinforcement learning or autonomous agentsContributions to open-source RL or adversarial-ML projectsExperience with Docker and containerized ML ops (Docker/Kubernetes)Experience with cloud platforms (AWS, Azure, or GCP)Security certifications (Security+, etc.) or active pursuit of themParticipation in CTF platforms (Hack The Box, TryHackMe, etc.) or AI/ML competitions (Kaggle) What We OfferDeep Mentorship: Work side-by-side with experienced engineers to master real-world AI security pipelinesCareer Growth: Opportunity to become a core technical leader as our AI offensive security stack expandsHybrid Flexibility: 2–3 days a week in our Indianapolis office with flexible remote optionsCompetitive Entry-Level Compensation: Full benefits including health, vision, and dental Ideal MindsetEager to learn and grow in both AI and cybersecuritySelf-motivated, detail-oriented, and collaborative Curious “hacker mindset” with a drive to experiment and break things safely Perks of Horizon3.aiInclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Remote Work: We are a 100% remote company. Enjoy the convenience and work-life balance that comes with remote work. Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision & dental insurance for you and your family, a flexible vacation policy, and generous parental leave.Compensation and ValuesAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.Additional compensation: All full-time roles are eligible for an equity package in the form of stock options.You Belong HereHorizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. 

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.About the RoleLambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.As a Security Engineer on the Detection & Response team, you'll be a core technical contributor building detection capabilities, driving incident response, and eliminating firefighting everywhere possible.Reporting to the Senior Manager of Detection & Response and working within our specialized Detection & Response team, you'll build and operate detection systems, lead incident investigations, develop threat intelligence capabilities, and contribute to red team activities. You'll coordinate closely with Security Technical Program Management to drive prioritized security remediations across the organization, ensuring that critical threats are addressed systematically rather than reactively.You will work on implementing enterprise-grade detection capabilities, automating incident response workflows, developing threat hunting programs, and building tooling that enables 24/7 security operations. You'll have unique access to LLMs hosted on our own infrastructure to implement and experiment with AI-powered detection and response capabilities that wouldn't be possible anywhere else.If you thrive on hunting threats, responding to incidents, and building detection systems that protect cutting-edge AI infrastructure at scale, we'd love to talk.We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time.What You’ll DoIncident Response & Operations:Response: Qualify reports and lead response activities from initial triage through remediation and retrospective.Automation: Develop tools and workflows that accelerate incident response and reduce mean time to resolution.Coordination: Drive prioritization and remediation of security findings across engineering teams in coordination with Security Technical Program Management.24/7 Operations: Participate in on-call rotation, ensuring rapid response to security events that threaten customer data or operations.Threat Detection & Analysis:Detection Engineering: Create and tune detection rules and alerts that identify threats across Lambda's infrastructure before they impact customers or revenue.Threat Intelligence: Research and operationalize threat intelligence specific to AI infrastructure and Lambda's unique threat landscape.Threat Hunts: Proactively search for indicators of compromise and suspicious activity that automated detection might miss.Explore AI-driven Security: Leverage Lambda's hosted LLMs to create AI-powered threat detection, automated triage, and intelligent alert correlation.Offensive Security: Support periodic tabletop exercises and red team activities to test and improve detection coverage and response capabilities.What We Think a Candidate Needs to Demonstrate to SucceedHave 3+ years of hands-on security engineering experience and 5+ years of total engineering experience, with demonstrated impact in detection and incident response.Thrive in high-speed, high-ambiguity startup environments where you build security capabilities while responding to immediate threats.Deep technical expertise with security tooling including SIEM/SOAR platforms, EDR solutions, vulnerability scanners, and cloud security monitoring.Excel at solving problems in Python, Go, or similar languages, building automations that scale security impact.Proven ability to work effectively with cross-functional technical teams both with and without authority (we're all on the same team!).Strong Linux systems experience in both bare metal and cloud environments, understanding infrastructure from kernel to application layer.Excellence at translating security concerns into business risk, enabling stakeholders to make informed decisions.Nice to HaveYou've built or contributed to detection engineering programs or incident response capabilities.Experience with threat intelligence platforms, threat hunting methodologies, or purple team exercises.Deep experience with specific SIEM platforms (Splunk, Elastic, Chronicle) or SOAR solutions.Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.You've developed detection content shared with the security community (Sigma rules, YARA, etc.).Experience responding to incidents in both cloud (AWS, GCP, Azure) and bare metal environments.Security certifications like GCIH, GNFA, GCIA, or similar that demonstrate incident response expertise.Experience with forensics, malware analysis, or reverse engineering.Excitement about leveraging our direct access to state-of-the-art LLMs to enhance detection and response—imagine AI-powered threat hunting, automated incident triage, and intelligent alert correlation at a scale only possible when you host the AI infrastructure yourself.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.