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About the RoleAs a Member of Technical staff focused on ML, you’ll push the limits of frameworks, refine our agent architecture, and build the benchmarks that define performance at scale. You’ll help take our frontier models from the lab into lightning-fast production-ready services.If you relish experimenting with the latest serving research, building optimizations, and shipping infrastructure for researchers, then we invite you to apply! ResponsibilitiesArchitect and optimize high-performance inference infrastructure for large foundation modelsBenchmark and improve latency, throughput, and agent responsivenessWork with researchers to deploy new model architectures and multi-step agent behaviorsImplement caching, batching, and prioritization to handle high-volume requestsBuild monitoring and observability into inference pipelinesQualificationsStrong experience in distributed systems and low-latency ML servingSkilled with performance optimization tools and techniques, and experienced in developing solutions for critical performance gainsHands-on with vLLM, SGLang, or equivalent frameworksFamiliarity with GPU optimization, CUDA, and model parallelismComfort working in a high-velocity, ambiguity-heavy startup environmentWhat makes us interestingSmall, elite team of ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companiesTrue ownership You will not be blocked by bureaucracy, shipping meaningful work within weeks rather than monthsSerious momentum We're well-funded by top investors, moving fast, and focused on executionWhat we doShip consumer products powered by cutting-edge AI research, andBuild infrastructure that facilitates research and product, andInnovate cutting-edge research that will open up new consumer product formsThe DetailsFull-time, onsite role in Menlo ParkStartup hours apply Generous salary, with additional benefits to be discussed during the hiring process

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you.com is an AI-powered search and productivity platform designed to empower users with personalized, efficient, and trustworthy search experiences. As a cutting-edge technology company, we combine advanced AI models with user-first principles to deliver tools that enhance discovery, creativity, and productivity. At you.com, we are on a mission to create the most helpful search engine in the world—one that prioritizes transparency, privacy, and user control. We’re building a team of innovators, problem-solvers, and visionaries who are passionate about shaping the future of AI and technology. At you.com, you’ll have the opportunity to work on impactful projects, collaborate with some of the brightest minds in the industry, and grow your career in an environment that values creativity, diversity, and curiosity. If you’re ready to make a difference and help us revolutionize the way people search and work, we’d love to have you join us!  About the Role You.com is redefining enterprise search and knowledge retrieval with our composable AI platform. Empowering organizations and developers to build, customize, and scale AI-driven solutions. As Sales Director, you will lead and inspire a team of high-performing Account Executives, driving adoption of our modular AI platform across both enterprise and developer segments. You will be responsible for developing and executing sales strategies that position You.com as the go-to partner for composable AI. Enabling customers to create tailored, secure, and scalable AI solutions. This is a unique opportunity to shape the growth trajectory of a cutting-edge platform at the intersection of enterprise AI and developer-first APIs. Responsibilities Lead, coach, and scale a team of Account Executives: Foster a high-performance, collaborative culture focused on consultative selling and customer value. Develop and execute sales strategy: Craft and implement go-to-market plans that highlight the flexibility and modularity of You.com’s composable AI platform. Enable multi-stakeholder selling: Guide your team in navigating complex sales cycles involving executives, IT/security, procurement, and technical end-users. Cross-functional collaboration: Partner closely with Sales Engineering, Product, Marketing, and Customer Success to ensure alignment and deliver a seamless customer experience. Pipeline management: Oversee pipeline generation, forecasting, and deal execution, ensuring consistent growth and accurate reporting. Market intelligence: Stay ahead of industry trends, competitive landscape, and customer needs. Feeding insights back to inform product and GTM strategy. Talent development: Recruit, onboard, and mentor top sales talent, fostering professional growth and skill development within your team. Qualifications 8+ years of sales experience in technical SaaS, with at least 3 years in a sales leadership or management role. Proven track record of leading teams to exceed quota in enterprise software, ideally with exposure to AI/ML, APIs, or enterprise search platforms. Deep understanding of complex, multi-threaded sales cycles with Fortune 1000 or high-growth tech companies. Ability to articulate technical value: Comfortable discussing APIs, RAG frameworks, security models, and composable architectures with both technical and non-technical stakeholders. Strong strategic thinking: Experience developing and executing sales strategies for new or rapidly evolving products. Excellent people leadership: Demonstrated ability to coach, motivate, and develop high-performing sales teams. Entrepreneurial mindset: Thrive in a fast-paced, high-growth startup environment. Nice to Haves Experience selling AI/LLM platforms, developer tools, or data infrastructure. Hands-on familiarity with APIs, SDKs, or developer ecosystems. Background in building or scaling sales teams at early-stage or high-growth companies. Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations.Salary Band$180,000—$230,000 USDCompany Perks: Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions Flexible PTO with U.S. holidays observed and a week shutdown in December to rest and recharge* A competitive health insurance plan covers 100% of the policyholder and 75% for dependents* 12 weeks of paid parental leave in the US* 401k program, 3% match - vested immediately!* $500 work-from-home stipend to be used up to a year of your start date* $1,200 per year Health & Wellness Allowance to support your personal goals* The chance to collaborate with a team at the forefront of AI research *Certain perks and benefits are limited to full-time employees only   you.com is an E-Verify employer. We are also an inclusive, equitable, and accessible workplace. Please let us know if you require accommodation for any portion of the recruitment and hiring process.

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About DustWe're creating a new AI operating system that has the potential to change the way companies operate. Our mission at Dust is to transform how work gets done by letting any team and employee shape the exact agents they need to accelerate their jobs.With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We already are a core part of their jobs.We are at an exciting stage of our journey. We‘ve raised our Series A, expanded in the US, and hit the $1m and $2m ARR milestones in 2024; we aim to x5 our growth by the end of 2025.Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe or OpenAI) that like to focus on users, getting great things done by shipping fast, and doesn’t take itself too seriously while doing so.TLDR;Product Designers at Dust have the unique opportunity to shape the future by working closely with Engineering to thoughtfully integrate cutting-edge AI technologies into tools that make humans more capable—empowering tens of thousands today, millions tomorrow.What you'll doWe're looking for a Senior Product Designer who embodies rigorous dependability to join our team. You'll tackle broader, ambiguous product problems, shaping end-to-end experiences that balance user needs and business impact.As an AI company, Dust operates in a highly technical and engineering-driven environment — we need someone comfortable working closely with engineers, understanding technical constraints, and thriving in a culture where technical depth is valued. Working in an early-stage environment means being comfortable with core Product design skills, but not shying away from Brand, Research, Prototyping and even Coding when needed.This role is for somebody that can frame design problems, influence product direction, and provide guidance to less experienced designers with a "no-ego-do-what-it-takes" attitude.CompensationSalary ranging from 50k to 110k€ depending on seniority and experience. Equity at all level of seniority.LocationWe're prioritizing building our team with an in-person culture at our offices in Paris and San Francisco, valuing the magic that happens when talented people work closely together.Why DustWe're not building yet another enterprise SaaS tool. We’re creating an AI OS that will fundamentally change how companies operate. We believe existing AI models are powerful enough to have a tremendous impact on the world (and will keep getting better) – the key is building the infrastructure so that they have context and explore the best interfaces for humans to interact with them.We have the unique opportunity to explore and shape the way humans interact with machines while working on a product we use ourselves every day.If you're excited about crafting products that reinvent B2B software and want to join a team that combines the best of startup culture with the backing of top-tier investors, we'd love to talk.👋 Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.___Learn how we think and work.Our product constitution a story about our missionAgents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024

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Black Forest Labs is a cutting-edge startup pioneering generative image and video models. Our team, which invented Stable Diffusion, Stable Video Diffusion, and FLUX.1, is currently looking for a Forward Deployed MLE to help us take our core offerings and expertise to the hands of our critical customers. We are looking for candidates with a strong understanding and a clear grasp of the inner workings of generative models - diffusion models especially - as well as prior hands-on experience in inference optimization. Additionally some experience serving these models via APIs would be a bonus. You should enjoy working with customers, better understand their needs and assist them with BFL models such as help with finetuning FLUX models for their specific use case. The Role As a Forward Deployed Machine Learning Engineer for BFL you will: Help customers to set up FLUX models in their services and ensure an optimal performance in terms of latency and output quality, both for on premise deployments and BFL-hosted integrations. Design and implement deep product integrations for customers, and help them with model hosting, finetuning, deployment and inference optimization Customize foundation models for visual media for customer specific use cases Meet with customers to identify gaps and pain points, assess their needs for BFL’s solutions, and help them to decide between BFL-hosted and on premise deployments Collaborate with customers to identify relevant use cases and find innovative solutions for solving these Identify expansion potentials for BFL’s technologies into new industry sectors across the globe Ideal experiences Experience in working directly with customers, iterating on solutions and providing tailored support for serving generative AI models Prior experience with common generative modeling approaches and hands-on experience with finetuning, optimizing and serving deep learning models. Proven track record in machine learning engineering Proficiency in Python and understanding of API integrations to implement basic functionality and help customers with prototyping/demo building. Experience in explaining and summarizing sophisticated technical concepts to both technical and non-technical audiences Excellent communication skills and experience in collaborating with non-technical stakeholders internally and externally, and the ability to adapt messaging to different audiences and explain complex technical concepts in simple terms with technical and non-technical audiences Nice to have Prior knowledge about diffusion models and/or flow matching, and relevant finetuning and distillation techniques Experience in using common open source tooling around from the FLUX ecosystem such as ComfyUI and common trainer frameworks Experience with inference optimizations for transformer based machine learning models Proven ability to architect solutions in complex enterprise environments Contributed to open-source projects in particular in the space of diffusion models Experience with cloud platforms and state of the art deployment solutions for diffusion models  

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Role DetailsLocation: San Francisco, CA. This role is based out of our San Francisco HQ and is not eligible for full-time remote work.About UsAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised a $5M seed round from top investors (YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Now, we’re looking for an exceptional Forward Deployed Engineer to join our early team and help shape both our product and culture.Why Join UsRocketship Growth: Post-PMF, with revenue growing at an exceptional pace.Elite Team: Founding team includes ex-Apple AI Research, 4 ex-YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon.Technical Depth: Work alongside a staff research scientist and a team of 7 engineers solving cutting-edge problems in AI and scalable backend systems.Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates.Founder’s Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future.What You’ll DoBuild enterprise-grade AI agents from the ground up⁠Work closely with our CTO, Sashank, who brings experience from building speech and language models at Apple’s AI/ML orgTalk to customers, understand their flows, and translate those into robust agentic solutionsImplement cutting-edge AI capabilities in productionWork in-person from our San Francisco office (5 day week)What We’re Looking For3+ years of consumer facing engineering experience.Strong experience with backend systems (Python preferred).Clear communicator - both in person and in writing.Above all: drive, grit, and ownership. If you excel here, other requirements are secondaryAt FurtherAI, we set a high bar. We’re not looking for someone who just wants a job—we’re looking for someone who wants to build something transformative. If you thrive in environments where the pace is fast, expectations are high, and the rewards are outsized, you’ll love it here.

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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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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 500+ customers in 50+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a Staff Frontend Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration product experiences for law firms.You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move between deep platform thinking and hands-on product iteration.What You'll DoDesign and build foundational infrastructure including authentication, permissions, feature flagging, notifications, and document management integrationsBuild and evolve Harvey’s internal product platform, accelerating development across multiple product lines and engineering teamsLead development of enterprise-facing features, such as secure multi-party collaboration, cross-organization workflows, and robust admin controlsMaintain high standards for security, privacy, and system reliability, particularly in handling sensitive legal dataCollaborate cross-functionally with product, AI, design, and GTM teams to deliver delightful, enterprise-ready experiencesWhat You Have6+ years (post-BS/MS) of frontend-focused software engineering experience on platform and/or product-oriented teamsExperience working across the stack to ship user-facing features with measurable impactStrong knowledge of distributed systems, REST/gRPC APIs, databases, and scalable service architecturesFamiliarity with or interest in enterprise SaaS patterns, such as role-based access control (RBAC), feature flag systems, and third-party integrationsTrack record of shipping highly intuitive products, strong attention to detailStrong programming skills and general Computer Science knowledgeCompensation Range$220,000 -$280,000 USD#LI-ML1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. And when contract data is buried, leaders can’t see risks, obligations, or act in time.Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That’s why the world’s most transformative organizations, from OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work six years running, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com or follow us on LinkedIn. This is a hybrid role based out of our London office. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. Candidates must have the unrestricted right to work in the United Kingdom. Solutions Engineering at IroncladSolution Engineers (SEs) are Ironclad Sales Team’s pre-sale technical experts. SEs collaborate closely with prospects and Ironclad’s Sales, Implementation, and Product teams, forming a critical technical overlay to the sales and solution evaluation.At Ironclad, SEs are creative, value-driven technology experts that love to engage with people. They drive sales through clear communication focusing on customer use cases, technology infrastructure, and solution design. With a comprehensive understanding of Ironclad’s platform, SEs empower prospects to understand how Ironclad can work for them.SEs also help Ironclad improve our platform: the best SEs help capture the most challenging technical requirements observed in the market and translate them into actionable insights for Ironclad’s Product team to develop.Requirements, you must be:Mission-oriented: You’re excited to work on a team that operates at the intersection of human talent and software; you want to put that passion to work in an industry that still skews heavily towards human/manual work. You want to work at a place where you can have an outsized impact.Exceptional communicator: You’re a strong verbal communicator, able to capture an audience with clear and confident language. You’re energetic, while able to understand and empathize with people even if you have limited subject-matter knowledge of their area of expertise.Technically proficient: You’re an expert at technical configuration and familiar with or have an appetite for learning and you recognize that a willingness to develop technical skills is an important part of what makes SEs successful in their role as solution experts.Team player: You can work effectively in teams of technical and non-technical individuals. You are energized by collaborating with diverse teams.Independent: You can learn and drive outcomes with minimal supervision. You have a bias toward action and gravitate towards environments where you have an outsized influence on the success of customers and colleagues. You are exceptionally good at making trade-offs based on incomplete data.Experience: 5+ years of Enterprise Solution Engineering experienceResponsibilities:Listen to prospects' needs and goals. Listening is our #1 strength.Design, build and deliver executive level custom presentations and demonstrations of the Ironclad platform using a prospect’s own contracts and workflows.Build strong relationships with prospects to help Ironclad’s most important and strategic prospects evaluate and ultimately select Ironclad.Collaborate with Account Executives and other internal partners to progress an evaluation forward smoothly.Work alongside our enterprise architecture team and business value engineers to build cases which support a prospect’s evaluation.Bring actionable insights back to Ironclad’s Product Team to help us evolve our core product.Partner with your aligned Sales Leader to support pipeline generating activities and overall team success. Benefits:Private Medical & Dental insurance, covered at 100% for you and dependents Life assurance and Income ProtectionGenerous leave policies, including parental leave, medical leave and compassionate leaveFamily-forming support through Maven for you and your partnerMonthly stipends for wellbeing, hybrid work, and (if applicable) phone useOne-time home office setup stipendStandard pension contribution schemeRegular team events to connect, recharge, and have funAnd most importantly: the opportunity to help build the company you want to work atPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Black Forest Labs is a cutting-edge startup pioneering generative image and video models. Our team, which invented Stable Diffusion, Stable Video Diffusion, and FLUX.1, is currently seeking a strong security and compliance to work closely with our team in building and implementing world class security and ensuring regulatory compliance across the business.   The Role: Own and evolve the company-wide security strategy across infrastructure, application, and corporate environments Lead our global compliance programs (e.g., ISO 27001, SOC 2) ensuring we meet regulatory and customer trust requirements. Build and maintain relationships with auditors, ensuring smooth audit processes Address AI-specific compliance requirements around data usage, model governance Build a comprehensive security program that scales with our AI training and inference infrastructure Partner closely with engineering and Devops to embed “secure by default” principles into our architecture and development lifecycle. Secure our model training infrastructure: distributed GPU clusters, data pipelines, training datasets Protect inference infrastructure: model serving endpoints, API gateways, and production deployment pipelines Ensure secure model versioning, storage, and deployment practices Implement access controls and audit trails for sensitive training data and model weights Manage and scale our IT function, ensuring a secure, efficient, and user friendly digital workplace. Establish and maintain risk & governance structures, security policies, and incident response procedures. Design and implement security controls for large scale Kubernetes environments hosting training and inference workloads Lead internal risk assessments and external audits, and build trusted relationships with auditors and customers Create and optimise detections, playbooks, and workflows to quickly identify and respond to potential incidents Make impactful, risk-based security decisions aligned with business objectives Establish security as a competitive advantage while maintaining development velocity Ideal Experience: 5+ years of experience in security roles (Security Officer, Security Engineer, Compliance & Security Manager) Deep understanding of infrastructure security, application security, and cloud security Experience performing security operations or investigations involving large scale Kubernetes environments Track record of successfully managing compliance certifications (SOC 2, ISO 27001, etc.) Exceptional communication and collaboration skills An ability to lead projects with little guidance Experience contributing to a high growth startup environment Experience securing cloud infrastructure (Azure) at scale Experience with or strong interest in securing ML/AI infrastructure is highly valued      

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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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About DustWe're creating a new AI operating system that has the potential to change the way companies operate. Our mission at Dust is to transform how work gets done by letting any team and employee shape the exact agents they need to accelerate their jobs.With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We already are a core part of their jobs.We are at an exciting stage of our journey. We‘ve raised our Series A, expanded in the US, and hit the $1m and $2m ARR milestones in 2024; we aim to x5 our growth by the end of 2025.Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe or OpenAI) that like to focus on users, getting great things done by shipping fast, and doesn’t take itself too seriously while doing so.TLDR;As a Forward Deployed Engineer at Dust, your primary role will be to build for users and accelerate their adoption of AI. This is a high-impact role that combines software engineering with solutions engineering and product development.You’ll have a critical impact by equipping customers with the engineering resources, product creativity, and support they need to get the most value out of Dust. The best candidates are technical engineers with an entrepreneurial and customer-obsessed mindset.ResponsibilitiesYou will be instrumental in ensuring the success of our customers by facilitating their access to advanced use-cases through Dust’s Developer platform and API. Your role will blend technology, product, and success to help us continuously enhance our product suite and to lay the foundations to our global ambitions. While you will not be coding 100% of your time, you will frequently be writing production code and contributing directly to the Dust codebase. Expect to spend time as a hands-on software engineer alongside customer-facing responsibilities. Some of these responsibilities will include:Build technical solutions and drive customer outcomes.Write production-quality code to build custom integrations, APIs, and tooling for enterprise customers when off-the-shelf solutions aren't sufficient.Contribute features and improvements directly to the Dust platform based on customer requirements and field insights.Be the voice of our users and serve as a critical enabler.Act as a key cross-functional partner by collaborating with Sales to help onboard customers, and with Customer Success to drive account strategy and to ensure users maximize the value of Dust.Help set our product roadmap by surfacing feedback and key insights from our customers, partnering with Design and Engineering to craft delightful experiences.Own the end-to-end delivery of our product from the design of a solution to its implementation, including testing and deployment.Lead demo calls, effectively communicating Dust's value proposition to buyers and evaluators (e.g. security and compliance teams). You must possess strong technical acumen and high emotional intelligence (EQ) to adapt explanations and presentations to the audience, ensuring clarity and engagement.Be a trusted advisor to our most strategic customers, helping them set up their Dust workspace, data connections, AI assistants, and workflows. You’ll help them graduate to advanced use cases enabling them to reach their goals faster, and leading to the expansion of our commercial relationships.Identify and highlight successful use cases for Dust. Craft content that sets users up for success, enabling them to maximize the value Dust for their teams. Lead workshops and training sessions to demonstrate advanced features.RequirementsMeaningful experience in a combination of technical and customer-facing roles (e.g. software engineering, solutions architect, implementation engineer).An action-oriented and organized self-starter mindset who isn’t afraid to get scrappy to solve customer issues.A strong work ethic and commitment to excellence.A deep interest in understanding customer needs and the desire to become an expert on Dust’s product.Effective multitasking and prioritization skills under pressure and in ambiguous situations across a wide variety of tasks.Demonstrated ability to work collaboratively with cross-functional teams to achieve shared goals.A data-driven mindset that can interpret customer feedback and behavior.A passion for technology, problem-solving, and a commitment to your customers’ success.High technical aptitude, with an ability to work directly with engineers as well as business stakeholders. Experience with APIs, web development, and writing scripts to build internal tools is a plus. Familiarity with LLMs like GPT-4, Claude, Mistral or Gemini is highly desirable.Compensation and Benefits$100,000 to $200,000 a year.This salary range is the estimated base salary range. Base salaries are just one component of the total compensation package and are determined by a number of factors such as years of experience, expertise, qualifications and more. In addition to base salary, we offer competitive equity packages that play a big part in recognizing you for the huge impact you will have on helping us achieve our mission. Please note, the salary range is a guideline that is subject to change without notice.LocationWe're prioritizing building our team with an in-person culture at our offices in Paris and San Francisco, valuing the magic that happens when talented people work closely together.Why DustWe're not building yet another enterprise SaaS tool. We’re creating an AI OS that will fundamentally change how companies operate. We believe existing AI models are powerful enough to have a tremendous impact on the world (and will keep getting better) – the key is building the infrastructure so that they have context and explore the best interfaces for humans to interact with them.We have the unique opportunity to explore and shape the way humans interact with machines while working on a product we use ourselves every day.If you're excited about crafting products that reinvent B2B software and want to join a team that combines the best of startup culture with the backing of top-tier investors, we'd love to talk.👋 Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.___Learn how we think and work.Our product constitution a story about our missionAgents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024

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About SesameSesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice companions part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.About the RoleVision understanding is a critical addition to conversational AI, bridging the gap between speech and the physical world. We’re looking for a skilled engineer or researcher to build high-value synthetic data pipelines that accelerate vision model development. The ideal candidate will be fluent in classical computer vision techniques while also comfortable leveraging modern machine learning tools across the stack: from neural rendering and diffusion-based image synthesis to transfer learning, domain adaptation, and data-centric evaluation. You’ll collaborate with research, hardware, and product teams to build capture, generation, and rendering systems that combine physical accuracy with visual realism—delivering datasets and simulators that measurably improve downstream computer vision tasks.Responsibilities:Build and maintain synthetic data generation pipelines (e.g., neural rendering, diffusion/score-based models, controllable generative priors, procedural assets) with levers for pose, expression, illumination, materials, and sensor characteristics.Apply transfer learning and domain adaptation (self-supervised pretraining, style/appearance transfer, sim-to-real) to bridge distribution gaps between synthetic and real data.Integrate off-the-shelf and open-source components where practical; fine-tune or distill models to meet latency, memory, and quality targets on target hardware.Stand up end-to-end systems—from capture and calibration to generation, data curation, quality gates, rendering/evaluation suites, and deployment.Define dataset and model evaluation frameworks (coverage, bias, sim-to-real gap, task-level KPIs such as gaze error) and iterate based on quantitative results.Survey literature across graphics, vision, and generative ML; prototype, adapt, and, where needed, invent new approaches that push facial reconstruction, appearance modeling, and synthetic data quality forward.Required Qualifications:Demonstrated experience with 3D reconstruction, photorealistic rendering, appearance modeling, or synthetic data generation for vision tasks.Ability to navigate and deliver results in high-ambiguity, open-ended problem spaces.Familiarity with large-scale, multi-camera datasets and the practicalities of curation, annotation, and evaluation.Excellent communication skills and the ability to work collaboratively across disciplines.Bachelor’s degree or higher in computer graphics, vision, imaging, machine learning, or a related field.Preferred Qualifications:Master’s or Ph.D. in a relevant disciplineHands-on experience training or adapting neural rendering models (e.g., NeRF/3DGS variants, relighting, inverse rendering) and modern generative models (e.g., diffusion/latent diffusion, controllable text-to-image/video, inpainting/outpainting).Proficiency in PyTorch, JAX, or other modern ML frameworks.Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities—contact careers@sesame.com for assistance.Full-time Employee Benefits: 401k matching100% employer-paid health, vision, and dental benefits Unlimited PTO and sick time Flexible spending account matching (medical FSA) Benefits do not apply to contingent/contract workers

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About Brain Co.Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.Our progress so farAutomated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in valueOptimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in lossesStreamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin workRaised a $30M Series A from top investorsBuilt a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and DatabricksAt Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one. About The RoleWe’re looking for a Product Manager to join our growing Product team and take full ownership of a well-scoped product area from day one. You’ll translate business problems into PRDs, partner closely with engineering and design, and drive projects through build, launch, and iteration.This role is ideal for someone who thrives in fast-paced, early-stage environments, can bring structure to ambiguity, and enjoys turning complex ideas into clear, executable plans. Success in this role will open the path to broader product ownership and leadership scope over time.This role will be filled through a referral-only network approach. We are not accepting inbound applications. In This Role, You Will:Own a defined product area end-to-end — from discovery and scoping through design, development, and deliveryWrite crisp PRDs and translate complex problems into actionable technical requirementsCollaborate with engineering, design, and operations to ship high-quality products quicklyManage execution timelines, milestones, and dependencies to ensure on-time deliveryEstablish clarity and alignment across teams in a fast-moving environmentMeasure impact, gather feedback, and drive iteration to ensure continuous improvementHelp shape Brain Co.’s product development culture and best practices as the team scalesYou Might Thrive In This Role If You:Have product experience in tech-forward companies within insurance, finance, or legal domainsBring early-stage or startup experience, thriving in high-ownership, low-structure environmentsHave a track record of taking projects from concept or statement of work through launchCommunicate clearly across technical and business audiencesAre proactive, detail-oriented, and comfortable managing multiple workstreams at onceEnjoy building process lightly but effectively to help teams move fasterAre motivated by seeing your work deployed and making real-world impact BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental, and VisionUnlimited PTO Why Join UsShip quickly, iterate constantly, and see your work deployed at global scaleCollaborate with industry veterans from Tesla, DeepMind, Databricks, and moreAccelerate your career with ownership based on impact, not tenureEarn competitive compensation + meaningful equity in a high-growth companyThrive in a culture built on speed, curiosity, and impact

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About DustWe're creating a new AI operating system that has the potential to change the way companies operate. Our mission at Dust is to transform how work gets done by letting any team and employee shape the exact agents they need to accelerate their jobs.With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We already are a core part of their jobs.We are at an exciting stage of our journey. We‘ve raised our Series A, expanded in the US, and hit the $1m and $2m ARR milestones in 2024; we aim to x5 our growth by the end of 2025.Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe or OpenAI) that like to focus on users, getting great things done by shipping fast, and doesn’t take itself too seriously while doing so.This RoleAs a Partnerships Operations Manager at Dust, you will architect and scale the strategic infrastructure that powers our rapidly expanding partner ecosystem. We're seeking an experienced operator who thrives on building programs from the ground up with deep expertise in operations. You'll bring deep expertise in partnership strategy, proven ability to design scalable systems, and the strategic vision to build the next generation of partner programs.Joining Dust also means pioneering a new form of Partnership Operations. As a GenAI-native company, Dust aims to illustrate how GenAI can help redefine partner relationship management and how partnership teams can be designed with AI-powered workflows in mind.You'll own building our partnership infrastructure in the EU from strategy to execution in a fast-paced environment that rewards both strategic thinking and hands-on execution.Key ResponsibilitiesBuild the key foundations of our Partner ProgramArchitect and implement sophisticated CRM infrastructure and seamless payment collection systems, ensuring all partnership mechanics work flawlessly. You'll refine and structure our Partner Program and Enablement - creating comprehensive partner onboarding and certification programs, establishing strategic business review processes, and developing the complete partner enablement infrastructure (training modules, assessments, tiering frameworks, resource libraries).Scale & Operate the EU Partner ProgramYou will be accountable for the explosive growth of the Partner Sales channel, developing sophisticated operational systems and providing strategic support to partners throughout the entire deal lifecycle from opportunity identification to successful close. You'll build and run the partner growth engine, systematically acquiring high-value partners and driving deep engagement that delivers measurable results.Rethink partner operations with AILeverage Dust as a transformative tool to revolutionize our partnership operations by automating meeting follow-ups, generating comprehensive account summaries, surfacing actionable partner insights from communications, automating responses from partners and prospects, and streamlining all operational workflows for maximum efficiency.Build comprehensive analytics & business intelligenceCreate executive-level dashboards and reporting systems that drive decision-making, implement advanced attribution models, and develop predictive analytics to optimize partner performance and ROI across all partnership channels.Design next-generation partner programsResearch, develop, and launch innovative partnership models with schools, training agencies, or other partners that leverage AI-powered workflows, create competitive differentiation, and establish Dust as a thought leader in partnership strategy within the GenAI space.Requirements6+ years of strategic operations experience in B2B SaaS with demonstrated success building and scaling partnership programs, preferably in high-growth environmentsProven track record of program leadership with experience managing complex, multi-stakeholder initiatives and building systems that scale from startup to enterpriseAdvanced CRM and automation expertise with deep HubSpot knowledge and hands-on experience architecting sophisticated automation workflows (Zapier, Make, or similar platforms)Strategic analytical capabilities combined with exceptional cross-functional collaboration skills to influence and align Sales, Operations, Product, and C-level stakeholdersExecutive communication skills with experience presenting to leadership teams and translating complex operational strategies into clear business outcomesPreferred: Advanced technical skills including SQL proficiency, experience with BI tools (Looker, Metabase, Tableau), and understanding of API integrationsPreferred: Partnership program expertise with hands-on experience building channel partnerships, technology alliances, or marketplace strategies at scaleLocationWe're prioritizing building our team with an in-person culture at our offices in Paris and San Francisco, valuing the magic that happens when talented people work closely together.Why DustWe're not building yet another enterprise SaaS tool. We’re creating an AI OS that will fundamentally change how companies operate. We believe existing AI models are powerful enough to have a tremendous impact on the world (and will keep getting better) – the key is building the infrastructure so that they have context and explore the best interfaces for humans to interact with them.We have the unique opportunity to explore and shape the way humans interact with machines while working on a product we use ourselves every day.If you're excited about crafting products that reinvent B2B software and want to join a team that combines the best of startup culture with the backing of top-tier investors, we'd love to talk.👋 Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.___Learn how we think and work.Our product constitution a story about our missionAgents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024

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Black Forest Labs is a cutting-edge startup pioneering generative image and video models. Our team, which invented Stable Diffusion, Stable Video Diffusion, and FLUX.1, is currently looking for a strong candidate to join us in developing and maintaining our large GPU training clusters. Role & Responsibilities Design, deploy, and maintain large-scale ML training clusters running SLURM for distributed workload orchestration Implement comprehensive node health monitoring systems with automated failure detection and recovery workflows Partner with cloud and colocation providers to ensure cluster availability and performance Establish and enforce security best practices across the ML infrastructure stack (network, storage, compute) Build and maintain developer-facing tools and APIs that streamline ML workflows and improve researcher productivity Collaborate directly with ML research teams to translate computational requirements into infrastructure capabilities and capacity planning Required Experience Production experience managing SLURM clusters at scale, including job scheduling policies, resource allocation, and federation Hands-on experience with Docker, Enroot/Pyxis, or similar container runtimes in HPC environments Proven track record managingGPU clusters, including driver management and DCGM monitoring Preferred Qualifications Understanding of distributed training patterns, checkpointing strategies, and data pipeline optimization Experience with Kubernetes for containerized workloads, particularly for inference or mixed compute environments Experience with high-performance interconnects (InfiniBand, RoCE) and NCCL optimization for multi-node training Track record of managing 1000+ GPU training runs, with deep understanding of failure modes and recovery patterns Familiarity with high-performance storage solutions (VAST, blob storage) and their performance characteristics for ML workloads Experience running hybrid training/inference infrastructure with appropriate resource isolation Strong scripting skills (Python, Bash) and infrastructure-as-code experience

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  About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.  About the Role The Sales Engineer plays a pivotal role in bridging the gap between technical expertise and sales acumen. This position requires a blend of technical knowledge and interpersonal skills to effectively communicate the value of complex technical solutions to potential clients. The Sales Engineer collaborates closely with the sales team to understand customer needs, provide technical demonstrations, and offer tailored solutions that address client requirements. This role is instrumental in driving revenue growth by effectively positioning the company's products or services within the marketplace. Location. This role is remote in Saudi Arabia. What You'll Do (Key Responsibilities) Bring a high-ownership, self-starting mindset with a willingness to fill gaps, solve problems, and support the team. Thrive in ambiguity, step up without waiting for direction, and contribute beyond your role to drive shared success. Provide expert technical guidance to customers and sales peers regarding Armada’s products and services.  Understand client challenges and propose the appropriate solutions to meet their needs. Lead technical demonstrations, proof-of-concepts, and workshops to showcase features, functionalities, and benefits of the company’s offerings.  Tailor demonstrations and execute workshops to address specific client challenges. Collaborate cross-functionally to support sales, including customer engagements, technical scoping, and proposal development. Influence and align internal teams to drive solution strategy, resource prioritization, and successful business outcomes. Cultivate strong relationships with key client stakeholders, including technical decision makers and influencers.  Serve as a trusted advisor through thought leadership, understanding their challenges, and providing tailored solutions based on technical business needs. Stay ahead of industry trends, competitive developments, and emerging technologies. Leverage market awareness to identify opportunities for product innovation and differentiation. Enhance field team understanding of technical concepts, product features, and selling strategies.  Provide ongoing support and enablement resources to empower sales representatives in their client interactions. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree is a plus. 5+ years proven experience in a pre-sales, sales engineering, or solution architecture role supporting technical products. Conceptual understanding of networking and connectivity fundamentals, including IP addressing, firewalls, SD-WAN, and satellite or cellular-based communication systems (e.g., Starlink, LTE/5G). Familiarity with cloud platforms, virtualization or containerization technologies, and modern enterprise infrastructure. Proficiency in at least one core technical domain such as AI/ML infrastructure, connected devices, or data center systems (see Technical Focus Areas below). Working knowledge of cloud platforms, modern networking concepts, and containerization or virtualization technologies. Excellent communication and presentation skills, with the ability to engage and influence both technical and non-technical audiences. Strong problem-solving mindset with the ability to navigate ambiguity and drive clarity. Self-starter who thrives in dynamic environments and effectively manages multiple priorities. Must be willing and able to travel, including potential international travel, as business needs dictate. Preferred Qualifications Prior experience with MEDDPICC, Challenger Sale, Command of the Message etc.; and managing to a sales process. Prior experience with MSPs, Telcos, Oil & Gas, or Utilities. Experience working with or selling physical products, including familiarity with logistics, supply chain operations, import/export processes, and customs requirements Demonstrable expertise in one or more Technical Focus Areas: AI & Edge AI Solution Architecture - This specialty emphasizes expertise in scoping, qualifying, and shaping AI-powered solutions. AI development fundamentals—such as training data quality, data granularity, resolution, variability, and event detection use cases—and how these factors impact model confidence, false positives, and deployment feasibility. Defining inputs (e.g., cameras, sensors) and estimating compute requirements. Familiarity with AI frameworks (e.g., TensorFlow, PyTorch, ONNX) and the broader AI/ML lifecycle is essential, along with a strong grasp of practical AI applications. Modular Data Center Systems & Rack Solutions Architecture – This specialty requires strong systems integration skills and the ability to translate customer requirements into reliable, scalable infrastructure solutions.  Design and integrate compute, storage, and networking systems within modular or micro data center environments; expertise in hybrid cloud and distributed computing (e.g., Azure Stack Edge); and experience with virtualization and containerization platforms (e.g., VMware, Docker, Kubernetes). Asset Management Systems & Integration Architecture:  This specialty emphasizes expertise in connected device ecosystems, remote field deployments, and real-time asset telemetry. Integration of remote field assets such as IoT sensors and camera systems; understand connectivity and deployment challenges in remote environments; and communication networks including Starlink, cellular/5G, and SD-WAN solutions (e.g. Cradlepoint, Peplink). Hands-on experience integrating devices and/or telemetry protocols such as RESTful APIs, WebSockets, and SNMP.    You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge  A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude  Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda  Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you    Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.   Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.  

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Location: San Francisco, Bay Area Team: Customer Success | Reports to Head of Customer OperationsAbout TomaAt Toma, we’re building something unorthodox — a fully AI-driven voice platform reshaping how 18,000 car dealerships operate. Our proprietary voice AI handles inbound calls, sets appointments, and unlocks agentic workflows that reduce frontline workload.We’re a 20-person team (ex-Scale AI, Uber, pro Valorant player, robotics champ, motocross racer...) obsessed with getting dealers real results. We’ve landed dozens of rooftops via word-of-mouth, and we’re just getting started.The RoleWe’re looking for a Prompt Engineer & Support Specialist to help us scale fast — without breaking.You’ll be the first technical hire on the support side, working directly with our customers, Ops, Engineering, and Product to solve issues. When you're not solving issues, you'll be laying the foundation for a scalable support motion and building internal health monitoring systems. While this role is a ticket-based support function which includes heavy prompt engineering... We aim for this person to grow into a part forward deploy, part triage lead, part system builder. You’ll get deep in the weeds, own high-impact technical problems, and play a foundational role in how support functions at Toma as we scale.What You’ll Do Right Now Technical Debugging & TriageManage a support queue & build systems to improve support metrics. Extensive prompt engineering to solve real world business problemsInvestigate LLM-related issues, agent behavior, voice system bugs, and integration failuresReproduce edge cases and partner with Engineering to drive root-cause fixesTriage and document inbound issues for the product and AI teamsWhat You'll Grow Into Build Support ProcessesBe the connective tissue between Engineering, Ops, and ProductOwn and improve the way support is delivered and scaled: ticket systems, SOPs, playbooksBuild an internal knowledge base for common issues and config workflows Build Health Monitoring & ToolingDesign and implement health monitoring for AI behavior, call routing, scheduler integrations, and moreCreate dashboards, logs, and alerting systems to reduce support lagWrite light internal scripts and tools to automate repetitive ops or support tasksYou Might Be a Fit If You...Have 2–5 years in a technical support, infra, dev ops, or forward deploy role, ideally at a startup with extensive customer facing experience. Love solving messy technical problems in live customer environmentsCan read logs, reproduce bugs, and work directly with engineers on triageHave experience with AI systems (LLMs, agents, vector databases) or are excited to learn fastCan write basic scripts (Python, JS, Bash, SQL, etc.) to unblock yourself or automate tasksThrive in ambiguity and want to build support systems from scratch — not inherit themNice to HaveExperience with tools like Eleven Labs, Metabase, DataDog, or voice AI platformsBackground in automotive, SaaS, or customer-facing AI productsStartup experience where you’ve been “the one who gets called when it breaks”Why This Role MattersWe’re growing fast, and every new customer means more complexity. The systems you build — and the fires you put out — will directly shape our ability to scale, retain, and grow revenue across hundreds of rooftops. You won’t just answer tickets. You’ll own the support systems that reduce customer effort & pain.What Success Looks LikeYou become the go-to point of contact for incoming support tickets You reduce our average support resolution time through better tools, monitoring, and triageYou help launch a proactive support function — not just reactive firefightingYou elevate how Toma learns from customer pain, product bugs, and systemic issuesCompensation & PerksCompetitive salary and early-stage equityHealth, dental, visionDaily food stipend Health & wellness stipend Educational stipendHigh-impact seat on a low-ego, high-output team

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Role DetailsLocation: India. About UsAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised a $5M seed round from top investors (YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Now, we’re looking for an exceptional Software Engineer to join our early team and help shape both our product and culture.Why Join UsRocketship Growth: Post-PMF, with revenue growing at an exceptional pace.Elite Team: Founding team includes ex-Apple AI Research, 4 ex-YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon.Technical Depth: Work alongside a staff research scientist and a team of 7 engineers solving cutting-edge problems in AI and scalable backend systems.Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates.Founder’s Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future.What You’ll DoBuild and scale the core product, ensuring performance, reliability, and continuous improvement.Own significant portions of the backend stack in Python.Collaborate directly with founders to set the technical direction.Operate with extreme ownership in a fast-paced, high-output environment.What We’re Looking For5+ years building products.Strong experience with backend systems (Python preferred).Clear communicator - both in person and in writing.Bonus: background in B2B SaaS and 0 - 1 experienceAbove all: drive, grit, and ownership. If you excel here, other requirements are secondaryAt FurtherAI, we set a high bar. We’re not looking for someone who just wants a job—we’re looking for someone who wants to build something transformative. If you thrive in environments where the pace is fast, expectations are high, and the rewards are outsized, you’ll love it here.

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About the RoleAs our Member of Technical Staff focused on ML infrastructure, you’ll design and scale the platforms that power cutting-edge AI: from high-performance inference engines to the underlying agent technologies and large-scale compute clusters that keep everything running.You’ll collaborate closely with researchers and product engineers to push the limits of inference performance, build reliable foundations for AI agents, and advance the next generation of training and post-training pipelines.ResponsibilitiesSpeed up research development, help researchers explore SOTA and new techniques on day oneBuild and optimize model training pipeline including data collection, data loading, SFT and RLOptimize a high-performance inference platform on top of both open-source and proprietary inference enginesDevelop and scale technologies for large-scale cluster scheduling, high-performance distributed training, and AI networkingBuild a strong engineering discipline across observability and reliability at scaleCollaborate with research and product teams to translate breakthroughs into robust, production-ready infrastructureQualificationsExpertise in one or more of: inference engines, GPU optimization, cluster scheduling, or cloud-native infraFamiliarity with modern ML frameworks (PyTorch, vLLM, Verl, etc.)Startup-ready mindset (adaptable, fast-moving, high-ownership)What makes us interestingSmall, elite team of ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companiesTrue ownership You will not be blocked by bureaucracy, shipping meaningful work within weeks rather than monthsSerious momentum We're well-funded by top investors, moving fast, and focused on executionWhat we doShip consumer products powered by cutting-edge AI research, andBuild infrastructure that facilitates research and product, andInnovate cutting-edge research that will open up new consumer product formsThe DetailsFull-time, onsite role in Menlo ParkStartup hours apply Generous salary, with additional benefits to be discussed during the hiring process

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About the TeamWe bring OpenAI's technology to the world through products like ChatGPT.We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.About the RoleWe are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. In this role, you will be bringing our large language models to millions of users around the world. Our users include everyday enthusiasts as well as professionals for ChatGPT, and everyone from hobbyists to large enterprises for the OpenAI API — you’ll interface directly with users to develop the features they want most! You will also collaborate closely with the research teams that created the core models and work with them on continual improvement. You will be a key part of the effort to push these technologies forward, and onto the next 100x users. In this role, you will:Own the development of new customer-facing ChatGPT features and product experiences end-to-endTalk to users to understand their problems and design solutions to address themWork with the research team to get relevant feedback and iterate on their latest modelsCollaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge productsOptimize applications for speed and scaleYour background looks something like:5+ years of relevant engineering experience at tech and product-driven companiesProficiency with JavaScript, React, and other web technologiesProficiency with some backend language (we use Python)Some experience with relational databases like Postgres/MySQLInterest in AI/ML (direct experience not required)Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlinesAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.